ATS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Walter E. Pae, Jr
James M. Anderson
Eugene H. Blackstone
Jack G. Copeland, III
Bartley P. Griffith
J. Donald Hill
Robert L. Kormos
Patrick M. McCarthy
D. Glenn Pennington
Peer M. Portner
Eric A. Rose
Wolf Sapirstein
John Wallwork
D. Glenn Pennington
Jack G. Copeland, III
O. Howard Frazier
Bartley P. Griffith
J. Donald Hill
Larry R. Kaiser
George J. Magovern
Walter E. Pae, Jr
Eric A. Rose
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pae, W. E.
Right arrow Articles by Rose, E. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pae, W. E., Jr
Right arrow Articles by Rose, E. A.

Ann Thorac Surg 1998;66:1452-1465
© 1998 The Society of Thoracic Surgeons


Bethesda Conference Report

Bethesda conference: conference for the design of clinical trials to study circulatory support devices for chronic heart failure1,2

Walter E. Pae, Jr, MD, Conference Chairman, James M. Anderson, MD, Participant, Eugene H. Blackstone, MD, Participant, Harvey S. Boroevetz, PhD, Participant, Arthur Ciarkowski, MD, Participant, Jack G. Copeland, III, MD, Participant, Maria Rosa Costanzo-Nordin, MD, Participant, Kurt Daase, MD, Participant, Mary Amanda Dew, PhD, Participant, Michael J. Domanski, MD, Participant, Benjamin H. Eidleman, MD, Participant, Roger W. Evans, PhD, Participant, David J. Farrar, PhD, Participant, O.H. Frazier, MD, Participant, Bartley P. Griffith, MD, Participant, Charles-Julien Hahn, MD, Participant, J. Donald Hill, MD, Participant, Sharon Hunt, MD, Participant, Kay Kendell, RN, Participant, Robert L. Kormos, MD, Participant, Howard R. Levin, MD, Participant, Donna M. Mancini, MD, Participant, Patrick M. McCarthy, MD, Participant, Dennis McNamara, MD, Participant, Fr Kevin O’Rourke, PhD, Participant, Lisa Parker, PhD, Participant, D. Glenn Pennington, MD, Participant, Victor L. Poirier, PhD, Participant, Peer M. Portner, PhD, Participant, Eric A. Rose, MD, Participant, Wolf Sapirstein, MD, Participant, Eleanor Schron, MD, Participant, Rhona Shanker, MD, Participant, Ramiah Subramanian, MD, Participant, John Wallwork, MD, Participant, Lynne Warner Stevenson, MD, Participant, D. Glenn Pennington, MD, Chairman, Conference Steering Committe, Jack G. Copeland, III, MD, Conference Steering Committe, O. Howard Frazier, MD, Conference Steering Committe, Bartley P. Griffith, MD, Conference Steering Committe, Charles-Julien Hahn, MD, Conference Steering Committe, J. Donald Hill, MD, Conference Steering Committe, Larry R. Kaiser, MD, Conference Steering Committe, George J. Magovern, MD, Conference Steering Committe, Walter E. Pae, Jr, MD, Conference Steering Committe, Eric A. Rose, MD, Conference Steering Committe

Address reprint requests to Dr Pae, Division of Cardiothoracic Surgery, The Pennsylvania State University, College of Medicine, 500 University Dr, PO Box 850, Hershey, PA 17033

Staff

The Conference was staffed with representatives from both The Society of Thoracic Surgeons and American College of Cardiology. Special appreciation is given to Mr David Field of the ACC and Mr Donald Turney of the STS for their efforts in conducting the conference.

Because the pool of potential candidates for cardiac transplant continues to expand while donor organ availability remains critically scarce, the discrepancy between the number of patients who would benefit from heart transplant and the number of patients who actually receive a transplant continues to increase at an alarming pace. The clinical outcome for patients who receive devices as a "bridge" to transplant may well exceed medically treated status I patients and has allowed development and evaluation of devices that can be eventually used as a long-term alternative to transplant. The expectation that fully implantable ventricular assist devices (VAD) would be available by the early 1990s as an alternative to transplant has been precluded by technical regulatory difficulties in device development. In an effort to facilitate the process of bringing this remarkable therapeutic tool to widespread clinical application a cooperative effort was undertaken to bring investigators, industry, and regulatory agencies together in an attempt to prospectively define mutually agreeable and sound guidelines for clinical trials necessary to achieve pre-market approval of VADs for long-term use. The following Task Force Reports represent the culmination of these efforts and summarize the many months of dialog before and after this Bethesda Conference.

Task Force 1: Trial design

Eric A. Rose, MD, Chairman, D. Glenn Pennington, MD, Co-Chairman, John Wallwork, MD, Lynn Warner-Stevenson, MD, Lisa Parker, MD, Gene Blackstone, MD, Victor L. Poirier, MD, Peer Portner, MD, Arthur Ciarkowski, MD, Wolf Sapierstein, MD, Harvey Boroevetz, MD

General philosophy
This section outlines criteria for the design of clinical trials to obtain FDA pre-marketing approval for long-term use of mechanical circulatory assist devices, beyond their current approved indications of post-cardiotomy support and bridging to cardiac transplantation.

We firmly believe that clinical trials for this purpose should be scientifically sound, clinically meaningful, and achievable in a finite time frame at reasonable expense. It is anticipated that early trials will focus on well-defined patient populations, with subsequent trials including a wider spectrum of patients, once initial success is demonstrated.

To meet pre-marketing approval requirements, sponsors will need to demonstrate the efficacy and safety of mechanical circulatory assist devices in the treatment of end-stage heart failure. This section discusses the target population, endpoints, and the design of clinical studies for this purpose. We shall specifically define and justify the choices of population, endpoints, and hypotheses of benefit as follows:

  1. Patient population
    1. Duration and severity of heart failure in terms of cardiac function and functional status of patient.
    2. Adequacy of current medical therapy.
    3. Potential for cardiac transplantation.
    4. Contraindications influencing predicted mortality with or without other interventions.
    5. Contraindications specifically for the device under investigation.

  2. Endpoints
    1. Time-related death and its mode.
    2. Quality of life.
    3. Hemodynamic status.
    4. Quantitated exercise capacity.
    5. Functional status.
    6. Criteria and analysis for crossovers and censoring of follow-up.
    7. Device reliability and adverse events.

  3. Design of trials
    1. Determination of efficacy compared to other therapies.
      1. Medical therapy for non-transplant candidates (may later include other surgical therapies).
      2. Transplantation strategy in potential transplant candidates (may also result in testing of early vs late bridging).


  1. Sufficient number of events anticipated to allow endpoint comparison.
    1. Statistically meaningful data.
    2. Clinically meaningful data.

Target population
Patients participating in these clinical trials must have demonstrated evidence of severe sustained congestive heart failure despite optimal medical therapy. All patients should be receiving the optimal medical treatment as currently provided under the supervision of a team experienced in the care of patients with severe heart failure. This heart failure may be related to coronary artery disease or non-ischemic cardiomyopathy. The population involved in these trials should include an appropriate representation of minorities and women and be chosen with a sufficient number of endpoints to ensure valid conclusions.

Considerations for exclusion from these studies may include:

  1. Technical contraindications to device implantation.
  2. Patients or their representative unable to communicate effectively with the investigators, legally incompetent to give written informed consent, or unable to reliably follow a prescribed course of medical or other therapy.
  3. Presence of active systemic infection.
  4. Presence of bleeding or coagulation disorder.
  5. Presence of severe end organ dysfunction in other body systems (renal, hepatic, cerebral, or pulmonary).
  6. Any other condition that, in the opinion of the investigators, would disqualify the patient for inclusion in the study, limit survival, or not permit valid consideration.

Endpoints
The objective of implanting a device is to provide improvement in survival and quality of life when compared to alternative therapy. The primary endpoints that need to be measured are all cause mortality and impact severely on health-related quality of life. Secondary endpoints that need to be measured include cardiovascular mortality and functional cardiac status.

Device safety is also an important endpoint. Monitoring the safety of the device requires measurement of the incidence of adverse effects, including (in particular) infections, thromboembolic complications, bleeding, end organ dysfunction, right heart failure, emotional and psychiatric complications, and mechanical failure (see Task Force 2: Adverse Events).

Clinical trial design
The separation of transplantable from non-transplantable patients is an important consideration in minimizing the incidence of patient crossover from device therapy to transplantation or vice versa, which may confound the analysis of trial results and reduce the statistical power of the trial to detect effects. However, the competing risk of death may confound the analysis of non-fatal events.

Non-transplant patients
In the case of patients who are not candidates for transplantation, it is feasible to conduct prospective, randomized, controlled clinical trials with a parallel study design. A non-randomized concurrent control group could also be considered, with adequate justification. It should be recognized that patients who are not transplant candidates may also be at greater risk of complications and death when receiving devices compared to transplant candidates. In the following paragraphs, we will specify the features that such trials should address.

Nature of comparison
At this time, pre-marketing approval of applicant devices should be based on a comparison to the survival and quality of life of patients who are randomly assigned to remain on medical therapy. The follow-up time should be sufficient to establish appropriate survival in the control group. This may be an inadequate amount of time to monitor device failure. Long-term safety and effectiveness data will be captured by post-marketing surveillance. The criteria for approving such devices should not be directly based on the absolute working life and failure rate of the device but rather on the relative improvement of quality of life or survival of the recipient population.

Blinding
It will be impossible for care-giving investigators or patients to be blinded to the nature of treatment received. However, to the extent that it is possible, outcome determinations should be made or at least confirmed by investigators that are blinded to the patients’ treatment allocations. Sham operations performed in support of the concept of blinded trials are surely unethical.

Randomization
Randomization is useful to ensure equitably constituted comparative groups and, when feasible, it would be employed. Because practical considerations dictate relatively small sample sizes, the efficacy of these devices should be high if they are to have a meaningful impact on survival and quality of life. Investigators may consider blocking by center to ensure approximately equivalent numbers of patients in each arm of the trial throughout its course.

Sample size
The determination of sample size to conduct any clinical trial is based upon the differences in the primary outcome event that the investigator is attempting to establish. For comparisons to standard medical therapy, sample size should be sufficient to establish clinical utility. For example, a study might be designed to establish a 33% survival gain and improved quality of life by two years with a significance level of 0.05 with 80% power. The goal of a 33% reduction in mortality is roughly equivalent to double the effect seen with angiotensin-converting enzyme inhibitors for heart failure and thrombolytic drugs for acute myocardial infarction.

Candidates for cardiac transplantation
It is widely recognized that donor hearts are becoming relatively more scarce due to the increasing population of potential recipients and a stagnation in the number of donors. Thus, the strategy of transplantation today often includes a prolonged waiting period and the inability to be transplanted before death from heart failure. In many areas of the country, this waiting period is in the range of 100 days for United Network for Organ Sharing (UNOS) Status I patients and much longer for UNOS Status II patients. An undefined number of potential transplant candidates are never listed for transplantation because of the severe shortage of donor hearts.

It may be feasible to conduct prospective randomized clinical trials of parallel study design; however, a non-randomized concurrent group could also be considered with adequate justification. A trial to demonstrate the utility of devices in ambulatory candidates might include all those candidates with a designated severity of disease, or it could be limited to patients with a low probability of being transplanted such as large type O patients, or patients with multiple antibodies. However, accruing enough patients of this type may be difficult and may necessitate a non-randomized, prospective cohort study. The device group might then consist of transplantation candidates with a low likelihood of being transplanted while the controls would be selected from the general group of candidates. Study design in this population requires careful consideration of the patients’ options for crossover to transplantation and devices as bridges and the impact such crossovers may have on analysis and interpretation of results. In addition, extensive multivariant analysis would be required to ensure the validity of group comparisons.

Hybrid trial: Transplant candidates and non-candidates
Hybrid trials, including patients who are and patients who are not candidates for transplantation, might also be considered. Design of such trials is confounded by issues of crossovers between groups and the necessity for a large number of patients to be enrolled. However, such trials may be justified if these obstacles can be overcome. The advantage of this hybrid trial would be to provide an increased number of patients, more generalizability, and the opportunity to test the devices simultaneously against medical therapy and the strategy of cardiac transplantation.

Task Force 2: Adverse events

J. Donald Hill, MD, Chairman, O. Howard Frazier, MD, Co-Chairman, Kurt Daase, MD, Howard Leven, MD, James M. Anderson, MD, Rhona Shanker, MD, Benjamen H. Eidleman, MD, Maria Rosa Costanzo, MD

The following set of recommendations regarding adverse event definitions was written by the Task Force for inclusion in the Guidelines for the Design of Clinical Trials to Study Circulatory Support Devices for Chronic Heart Failure. The Task Force recognizes the dynamic nature of medicine and surgery and wishes to qualify these definitions:

  1. The definitions for adverse events are global. They are meant to take into account clinical practice and to be used for both current and future studies. Therefore, the definitions are more qualitative than quantitative in nature.
  2. The definitions have been chosen and written to be appropriate for use in device trials that may include possible control groups; standard medical therapy for end stage heart disease, cardiac transplantation, or both; and/or another support device approved by the Food and Drug Administration (FDA) for the same indication.
  3. The definitions are not fixed and should be reviewed at least every 2 years by The Society of Thoracic Surgeons (STS) Ad Hoc Committee on Circulatory Support and Thoracic Transplantation and the FDA.
  4. These adverse events definitions are as free as possible of inconsistencies and ambiguity without the benefit of a pilot study. Situations may arise which are not covered by these definitions. In these situations the intent of the FDA’s adverse event policy should be followed rather than adhering to an inadequate definition.
  5. The adverse events as defined do not include a relationship to origin of the event. In the absence of objective diagnostic tests that accurately identify the source of a specific event, it should be regarded as device-related.
  6. New diagnostic technologies which improve the assessment of the origin of adverse events may be developed. When this occurs, the definitions should be updated to allow assessment with the new diagnostic technology, if appropriate. Retrospective analyses of adverse events with technologies which were previously unavailable will not be required.
  7. Good data collection, in accordance with the study data collection schedule, is essential in order to determine changes that may occur as a result of the intervention. Therefore, data should be gathered at baseline (that is, at the time of a complete history and physical examination, hemodynamic measurements, and clinical laboratory parameters of end organ function) to determine the pre-intervention status of the patient. Collection of this information should continue in accordance with the study protocol at appropriate intervals throughout the trial in order to assess device/intervention performance (Table 1).
  8. A complete autopsy should be pursued to confirm the identification of adverse events and to assist in the identification of clinical/pathological correlations.
  9. The frequency origin of adverse events will be compared in treatment and control groups using the appropriate analysis.
  10. An independent Clinical Evaluation Committee to review the inclusion and exclusion of complications and to audit the completeness and accuracy of data collected and entered into the database is recommended. This would be made up of peers who are experienced and knowledgeable in the field and chosen together by the sponsor and the FDA.


View this table:
[in this window]
[in a new window]
 
Table 1. Clinical Data to Be Collected
 
Definition of adverse events
  1. Bleeding: Blood loss resulting in:
    1. Death
    2. Reoperation
    3. Red blood cell transfusion (greater than or equal to 6 units within 24 hours) or
    4. Treatment or intervention for bleeding

  2. Hemolysis: Three plasma free hemoglobin values > 40 mg/dL (measured by standard clinical pathology or laboratory medicine methods). The final two readings taken within 12 hours of each other as confirmation of the first reading.
  3. Cardiac tamponade: Accumulation of undrained fluid resulting in hemodynamic compromise requiring reoperation or intervention.
  4. Reoperation: Any unscheduled return to the operating room.
  5. Wound dehiscence: Disruption of the opposed surfaces of a surgical incision, excluding infectious etiology.
  6. Infection:
    1. Local infection: Positive tissue or swab culture (from the device or other sites) requiring intervention.
    2. Systemic infection: Any instance in which intravenous (IV) antimicrobial treatment is instituted (excluding routine prophylactic treatment dictated by hospital protocol). This includes treatment of culture negative symptoms.
    3. Bacterial, viral, fungal, or protozoan infection (documented by standard clinical pathology or laboratory medicine methods), treated with antimicrobial agents (excluding routine prophylactic treatment dictated by hospital protocol).

  7. Myocardial infarction: The presence of two of the following three criteria:
    1. Creatine phosphokinase (CPK) (measured by standard clinical pathology or laboratory medicine methods) greater than the normal range for that hospital with a positive MB fraction;
    2. ECG with a pattern or changes consistent with a myocardial infarction;
    3. A history and timing consistent with either of the above events.

  8. Arrhythmias: Any documented arrhythmia that requires intervention or results in the signs and symptoms of vital organ hypoperfusion, such as dizziness, syncope, or lightheadedness.
  9. Hypotension: Hypotension requiring treatment or manifesting signs and symptoms of vital organ hypoperfusion, such as dizziness, syncope, or loss of peripheral pulses.
  10. Hypertension: A blood pressure greater than or equal to 140/90 mm Hg, measured on three separate days.
  11. Right heart failure: Cardiac index less than 2.2 L/min/m2, for greater than or equal to 6 hours, resulting in death, or requiring intervention, in the absence of anatomical structural reasons, left sided dysfunction, or hypovolemia.
  12. Left heart failure: Cardiac index less than 2.2 L/min/m2, for greater than or equal to 6 hours or resulting in death, or requiring intervention, in the absence of anatomical structural reasons, right-sided dysfunction, or hypovolemia.
  13. Device malfunction: Any instance when any component of the system fails to perform according to specifications. To use these data in calculating reliability for the device, an event must be evaluated using the definitions for failure that are included in the ASAIO-STS Long Term Blood Pump Reliability Recommendation.
  14. Device system failure: The inability of the device system, including redundant, external back-up components, to provide adequate circulatory support. For example, the inability to provide pump output of X for Y period of time under ZZZ conditions (eg, rest, exercise). The definition may be modified to address the indicated use of a specific device. However, the definitions must include measurable criteria, and must be applicable to the in vitro, in vivo, and clinical environment in order to use the data in calculating the reliability of the device.
  15. Renal failure: Abnormal kidney function requiring hemodialysis or hemofiltration in patients who did not require these procedures prior to mechanical circulatory support/transplant/medical therapy. Renal function laboratory data (measured by standard clinical pathology or laboratory medicine methods) will be collected and recorded as part of specific protocols.
  16. Hepatic failure: Greater than two times increase above baseline values in any two of the four liver function studies (bilirubin, SGPT, SGOT, or LDH), measured by standard clinical pathology or laboratory medicine methods, or if hepatic dysfunction is the primary cause of death.
  17. Respiratory failure: Impairment of respiratory function requiring reintubation or tracheostomy, or inability to discontinue ventilatory support after postoperative day six.
  18. Neurological dysfunction: The advent of a neurological deficit, whether it be transient or prolonged, that is not present at baseline as determined by a standard neurological examination and appropriate special investigations. The investigation of new neurological deficits will be determined by the clinical presentation. However, should a new event occur and the clinical features indicate a cerebral localization, particularly in the case of a stroke-like syndrome, a repeat computerized axial tomographic (CT) scan of the head will be indicated. A CT scan of the head and clinical examination to be carried out at entry, and this together with a further neurological examination will be repeated at appropriate intervals (interval determined by sponsor).
  19. Psychiatric problems: Any change in mood or behavior that requires an intervention that is outside the standard management protocol.
  20. Rejection: A clinical event, usually but not always accompanied by an abnormal myocardial biopsy, which results in augmentation of a patient’s immunosuppression.
  21. Cardiac allograft vasculopathy: An accelerated form of cardiac allograft coronary vascular disease leading to retransplantation, death or therapy for cardiac allograft dysfunction.
  22. Post transplantation lympho-proliferative disorder: Lymphocyte tumor in patients receiving chronic immunosuppression.
  23. Hyperlipemia: A total serum cholesterol (measured by standard clinical pathology or laboratory medicine methods) of 200 mg/dL.
  24. Glucose intolerance: An adverse event manifested by new onset of diabetes mellitus or pre-existing diabetes mellitus requiring increased intensity of medical intervention.
  25. Obesity: A weight 20% greater than ideal body weight. For patients meeting the definition of obesity at baseline, an increase in body weight of greater than 10% from baseline will qualify as an adverse event.
  26. Osteoporosis: Any decrease in bone density compared to baseline, determined by nuclear bone densitometry.
  27. Reproductive system dysfunction: Any new sexual or menstrual dysfunction.
  28. Malignancy: Occurrence of any malignancy (excluding squamous or basal cell of the skin) not present at time of entrance into the study.
  29. Pain: Necessity for chronic pain medication or other pain management interventions.
  30. Thrombotic vascular complications (excluding central nervous system events): Any mural thrombus or thromboembolism in the vasculature or device confirmed by standard clinical and laboratory testing that requires intervention.
  31. Loss of limb: Loss of a limb or any portion thereof.
  32. Aneurysm: Any aneurysm, pseudoaneurysm, or dissection requiring medical or surgical intervention, or resulting in death.
  33. Herniation: Protrusion of an organ, part of an organ, or other structure through the wall of a cavity in which it normally resides.
  34. Cholelithiasis: Gall bladder dysfunction causing clinical symptoms requiring medical or surgical intervention.
  35. Pancreatitis: Pancreatic dysfunction causing clinical symptoms requiring medical or surgical intervention.
  36. Bowel obstruction/perforation: Intestinal obstruction or perforation requiring intervention.
  37. Dysphagia: Eating disorder causing symptoms requiring medical or surgical intervention.
  38. Loss of appetite: Reduction of food intake severe enough to require hyperalimentation or nasogastric feeding that persists after 14 days of any surgical intervention.
  39. Hematoma: A collection of clotted blood requiring aspiration or surgical intervention.
  40. Persistent malnutrition: Inability to attain or maintain desired body weight due to inadequate intake of calories and protein following the intervention.
  41. Unscheduled hospital readmittance: A readmission to the hospital that is unscheduled or outside the protocol.

Task Force 3: Cardiovascular function evaluation

Jack G. Copeland, MD, Chairman, Patrick M. McCarthy, MD, Co-Chairman, Robert L. Kormos, MD, David Farrar, MD, Donna Mancini, MD, Michael J. Domanski, MD, Ramiah Subramanian, MD

Introduction
It must be recognized at the outset that these guidelines are evolving as clinical experience accrues. In particular, predicting the need for additional right ventricular support, response of the right ventricle to implantable left ventricular assist device (LVAD) support, and the possibility for successfully removing the LVAD after cardiac recovery are areas that are still under study. These are areas of active clinical research and more specific answers should be forthcoming in the future.

Areas for review
Four areas of cardiovascular function will be reviewed:

  1. The minimally acceptable degree of circulatory support provided by the LVAD.
  2. Effects of the device on native heart function.
  3. Exercise capacity of device-supported patients.
  4. Possible myocardial "recovery," allowing removal of the device.

Acceptable hemodynamic function with the device
The implantable LVAD is placed in patients with end-stage heart disease to reverse cardiogenic shock or to restore more effective hemodynamic parameters. As a minimum requirement, therefore, use of the device should result in a cardiac index greater than or equal to 2.2 L/min/m2 with a pulmonary capillary wedge pressure (or left atrial pressure, or pulmonary artery diastolic pressure) less than or equal to 18 mm Hg during periods of proper function.

In the early postoperative period, the effects of hypovolemia, transient right heart dysfunction, tamponade, or other problems related to surgery may interfere with the ability of the device to meet these demands. However, these are "patient-related" failures, and not failure of the device, per se. Inadequate function of the device itself has been defined by the task force on adverse events (see Task Force 2: Adverse Events).

Under optimal conditions, the design of the device should allow increased device output with exercise or other physiologic demands. Devices functioning in the automatic fill mode meet this requirement. [1] Devices in a fixed rate mode should allow external adjustment so that device output can be increased as needed. Also the system should have a monitor that displays pump output. This does not need to be a continuous display monitor, but such a monitor is useful in the early postoperative period. For patients who are chronically supported, periodic measurements of device output are important for troubleshooting, or determining proper device function.

Left ventricular assist device effects on left and right ventricular function
There was initial concern that the implantable LVAD would induce left ventricular atrophy. This has not been shown to be the case. Histologic findings in the bridge-to-transplant experience show resolution during support of acute changes from cardiac decompensation at implant. Eventually fibrosis and otherwise viable and healthy myocytes appear [2, 3]. Echocardiographic studies show a decrease in left ventricular chamber size immediately after the onset of LVAD function, while left ventricular dimensions remain stable during the period of support [35]. Left ventricular wall thickness increases.

Depending upon the device synchronization with left ventricular systole, pressures within the left ventricular cavity typically reach 40 mm Hg maximum on LVAD support. This continued left ventricular pressure (although greatly reduced from pre-LVAD levels) may help explain the absence of left ventricular myocyte atrophy. Because the histologic picture improves on support, successfully weaning and removing the LVAD following LV recovery may be possible. This concept will be dealt with in the section "Potential Cardiac Recovery While on Device Support."

The effect of LVAD support on the right ventricle and the right-sided circulation is a complex issue and not always predictable [611]. Impaired right ventricular function leads to decreased left atrial pressure, decreased LVAD filling, and decreased LVAD flow. It is an important early contributing factor to perioperative death [12, 13].

Factors thought to contribute to right-sided circulation dysfunction include right ventricular afterload (usually described in terms of pulmonary artery pressures, and pulmonary vascular or arteriolar resistance); right ventricular contractility (usually recorded as ejection fraction or fractional area of change by using automatic boundary detection with echocardiographic techniques or RV stroke work index); and cardiac rhythm (ventricular tachycardia, ventricular fibrillation, or asystole, which may impair LVAD filling) [1, 611, 14, 15].

In addition, overall clinical condition of the patient at the time of implantation also correlates with the need for early right ventricular assist device (RVAD) support [13]. Patients who are the most severely decompensated in the bridge-to-transplant experience (that is, those with pulmonary edema, adult respiratory distress syndrome, and very severe hemodynamic compromise) appear to be at most risk for RVAD use.

A variety of factors including clinical state, hemodynamic factors, and experience of the implanting surgeon have led to a wide range of reported "need" for an RVAD in the early postoperative period. Recent experience (since 1994) with the implantable LVAD devices has shown the need for RVAD support to be approximately 15% to 20% (personal communication: P. Portner, Oakland, CA; K. Dasse, Woburn, MA) [1, 12, 13, 15, 16]. External devices that allow for the capability for biventricular support (such as the Thoratec device) have reported use of an RVAD in up to 50% of patients, although this seems to be decreasing with greater clinical experience (personal communication: David Farrar, PhD, San Francisco, CA). Because use of an RVAD is surgeon-dependent, and currently a clinical "art" rather than science, this Task Force has not set forth guidelines for RVAD use in implantable LVAD patients.

In most patients, who do not require RVAD support, improvement in RV function can be expected [5, 13, 16]. For most patients the left atrial pressure drops immediately after device insertion, and therefore pulmonary artery pressures drop rapidly. With this decrease in pulmonary artery pressures and pulmonary vascular resistance, RV function improves. Right atrial pressure also drops, but more slowly than the drop in left atrial pressure. Although right ventricular contractility improves, it rarely returns to normal levels of function, despite near-normal pulmonary artery pressures and pulmonary vascular resistance.

Device effects on exercise capacity and physiology
Patients in cardiogenic shock suffer from impending multiple organ failure, and many early deaths are due to progression to multiple organ failure, despite adequate pump outputs. For patients with a bridge-to-transplant, many investigators have documented return to normal or near-normal levels of hepatic, renal, hematologic, and pulmonary function [12, 1619].

An important goal of chronic circulatory support is to provide the patient with a good quality-of-life. Exercise capacity has been one objective measurement to show that the patients have improved physical capacity and therefore quality-of-life. In bridge-to-transplantation exercise studies, it has been shown that, when the implantable LVAD reaches maximum pump output, the patient’s native heart may eject blood through the aortic valve and further contribute to total cardiac output [20, 21]. Therefore, total forward output of the heart may be significantly higher than LVAD output. However, correct interpretation of bridge-to-transplant studies may be difficult because the exercise studies and oxygen consumption studies are usually obtained early after the LVAD implantation, and the patient may still be recovering from surgery. Sequential studies of patients on longer support have shown improvement in exercise capacity beyond the initial studies (personal communication: OH Frazier, Houston, TX).

Exercise studies that may be useful in evaluating LVAD patients would include maximal or submaximal exercise studies, either with or without oxygen consumption, and a 6-minute walk test. These studies can provide objective measurements, but they do have limitations. Even after the patient has recovered from surgery, exercise capacity may be limited by noncardiovascular factors such as physical training, pulmonary dysfunction, or infection. It is too early in our clinical experience to define "acceptable" exercise capacity of patients recovered from surgery on chronic LVAD support.

Potential cardiac recovery while on device support
In the clinical bridge-to-transplant experience it has been noted that the cardiothoracic ratio decreased on chest film, left and right ventricular function appeared to improve with the device functioning, and histology showed a return to a more normal pattern in some patients [2]. In addition, it was noted that during brief periods with the device flow turned down after months of LVAD support, the patient’s native heart was able to provide improved hemodynamic function when compared to the pre-LVAD state. Therefore, it was reasoned that some patients may have recovered sufficiently so that the implantable LVAD can be "weaned" and subsequently surgically removed [2, 3, 22]. This in fact has occurred in a few clinical cases (personal communication: Peer Portner, PhD, Oakland, CA; Kurt Dasse, PhD, Woburn, MA).

Many areas need further exploration in this realm before guidelines can be written to specifically address them. These include indications for weaning and removing the device, proper technique for weaning, and long-term outcome following device removal. Clinical situations that may precipitate device removal could include infections, device failure, or patient dissatisfaction with the device. These clinical situations may occur in patients in whom there has been recovery, but are different than removal because the physician decided that cardiac recovery has occurred, and therefore device removal is warranted. Judgements of cardiac recovery would have to be based on the pathology of the underlying cardiac disorder, sequential echocardiographic observations of left and right ventricular function with the device functioning, and changes observed during device weaning. Ideally, there should be an evaluation of left and right ventricular function and hemodynamic parameters with the device turned off [23]. As a practicality, information with the LVAD "off" may be difficult to obtain because this could lead to blood stasis within the pump and the threat of thrombus formation and embolization when the pump is restarted. The most difficult problem will be predicting in which patients recovery will be sustained, so that the patient does not return to his previous condition after weeks or months of device removal.

Task Force 4: Assessment of quality of life

Bartley P. Griffith, MD, Chairman, Mary Amanda Dew, PhD, Co-Chairman, Roger Evans, PhD, Sharon Hunt, MD, Eleanor Schron, Fr Kevin O’Rourke, Charles-Julien Hahn, MD, Kay Kendell, RN, Dennis McNamara, MD

This section provides the rationale for and description of a standard protocol to evaluate health-related quality of life (HQL) in persons receiving cardiac support devices. The goal of the proposed HQL protocol is to enable sponsors to gather systematic, empirical data that can be used to aid in determinations of the safety and effectiveness of such devices.

Health-related quality of life has become a recognized and accepted endpoint in biomedical and clinical research. In fact, outcomes related to HQL may be the primary endpoints in studies where mortality differences are not anticipated [2431]. The development of valid and reliable measures of HQL, plus growing evidence that HQL is sensitive and responsive to important biological and clinical changes, have led to its inclusion in clinical trials and quality-of-care evaluations across a spectrum of medical illnesses and conditions [2427, 30, 3242] (see also reviews by Testa and Nackley [43], and Wilson and Cleary [31]). The National Heart, Lung, and Blood Institute now routinely includes HQL assessments in clinical trials and efficacy studies of cardiovascular, lung, and blood therapies [4447].

This emphasis is also growing in clinical practice settings and in health policy decision-making, where information about patients’ HQL after they have been given different therapies is increasingly being used by physicians and other health care providers for treatment decision-making and to plan allocation of resources [28, 3639, 44, 4850]. For example, HQL was a key consideration in the Health Care Financing Administration’s decision to extend Medicare coverage of recombinant human erythropoietin for dialysis-dependent end-stage renal disease [51, 52]. The data necessary for this decision were collected as part of the Phase III trial [35].

From a conceptual and medical ethics standpoint, the use of HQL as an indicator of treatment safety and efficacy is mandated by the World Health Organization’s definition of health as "a state of complete physical, mental, and social well-being and not merely absence of disease or infirmity" [53]. Indeed, the optimal assessments of HQL are multidimensional (as opposed to single, global indicators), which incorporate the measurement of patients’ functional status and well-being in each of the dimensions in the WHO definition [54, 55]. A multidimensional approach is essential in order to collect data adequate for the evaluation of the benefit to burden ratio associated with medical treatments [56].

Measurement approaches to health-related quality of life
In general, two major categories of instruments have been designed to assess HQL [29]. First, a number of generic measures have been created that assess health status in broad terms. They are useful for overall evaluations of HQL domains that are relevant to every individual, regardless of specific illness. They are highly useful because they allow comparisons across illness groups and across persons at different stages of the same illness. Second, disease- or illness-specific measures have been created to address unique symptoms and limitations related to particular health conditions. Such measures are useful for understanding finer-grained differences between patients with similar conditions and are very important in clinical trials designed to improve certain symptoms or illness states that are related to specific diseases or interventions. Also in the category of specific measures are instruments designed to focus on particular areas of functioning, such as psychiatric status or cognitive status.

Currently, the approach that is considered optimal for HQL assessment [29, 43, 57] is first to select a generic measure to serve as the core instrument, and then to supplement the core instrument with other measures to assess specific areas of particular concern to a given patient population. The protocol proposed here for patients receiving experimental cardiac support devices is based on this approach, yet was designed to be brief enough to be easily administered in the context of other clinical and physiological assessments of patients’ status. In sum—and as detailed below—the optimal HQL battery incorporates the following features:

  1. Multidimensional assessment;
  2. Both generic and disease-specific measures;
  3. Measures based on evidence demonstrating sensitivity to clinical change in the population;
  4. Indices that are simple to compute and easily compared to normative data;
  5. Brevity to the point that it is a burden on neither the patient nor study personnel;
  6. Usability in situations where professionals with advanced degrees or specialty training are unavailable or cannot feasibly be utilized to administer the battery, that is, the battery can be administered by lay personnel with minimal training.

Protocol for patients receiving cardiac support devices: Rationale for selection of relevant domains
Previous research and clinical experience with patients undergoing cardiac support as a "bridge" to transplantation, as well as with non-bridged heart transplant candidates and recipients, indicate the importance of considering patients’ overall well-being along each of the domains of quality of life defined above, that is, physical, functional, emotional, and social. Dew et al [58] provide a full review of this evidence. For example, it is well-established that HQL in these broad domains shows marked improvement, on average, after heart transplantation [36, 5965]. There is also some early, primarily small case-series evidence that, among transplant candidates receiving support devices, HQL in these domains can be improved by certain interventions, such as intensive rehabilitative exercise programs [66, 67] or psychosocial programs whereby device patients are discharged (with device in place) to outpatient settings [54, 58, 68]. The fact that broad HQL measures are sensitive to changes in patients’ clinical status (ie, changes from pre- to post-transplant or changes from inpatient to outpatient status) makes them critical to include as outcomes of new medical procedures and treatments for end-stage heart disease.

Extensive clinical experience, and growing research data, have indicated that in addition to the broad domains discussed above, it is critical to consider three HQL subcomponents that are of special concern for cardiac support device patients. They include: (1) specific physical functional limitations in the areas of mobility and ambulation, sleep, and body care; (2) cognitive functioning; and (3) patients’ concerns and worries about the device itself. Device patients frequently report problems in engaging in specific physical functional activities; mobility limitations and insomnia, for example, are common complaints [58, 69]. Patients’ cognitive status is a well-recognized concern, given the possibility of device-related cerebrovascular accidents [44, 70]. Finally, cardiac support devices have distinct mechanical features that appear to affect quality of life, including for example, noise of the system, and potential anxiety about device failure [44, 71, 72].

A measurement protocol has therefore been proposed which incorporates both a core, generic measure of HQL, as well as supplemental assessments of HQL areas of particular importance for cardiac support device patients. The domains of measures are summarized in Table 2, which (1) lists and defines each HQL domain to be assessed, (2) provides examples of suitable instruments that could be used to assess these domains, and (3) gives estimated completion time for those instruments.


View this table:
[in this window]
[in a new window]
 
Table 2. HQL Battery (completion time: less than 30 minutes)

 
Examples of suitable measures
Appendix 1 provides a detailed description and information for ordering published measures, plus copies of unpublished measures. The SF-36 [73] is recommended as a suitable core instrument. This 36-item measure has been well-validated, has strong psychometric properties, and has available extensive comparison data from numerous populations. These include healthy persons as well as individuals with a variety of acute and chronic illnesses [74]. The SF-36 assesses the three broad domains of HQL discussed above, plus global perceptions of health.

In addition, an item has been included in the recommended core assessment to reflect patients’ overall perceptions of the quality of their lives. The Evans item, which constitutes one example of a suitable measure for overall perceptions, has been employed in numerous patient populations [3739].

The additional subcomponents to be assessed are: (1) specific physical functional limitations, (2) a cognitive functioning screen, and (3) patients’ concerns and worries about the device. These areas are to be evaluated with brief supplemental measures to be administered in conjunction with the core assessment. Examples of measures appropriate to each supplemental area are provided here.

A suitable measure to assess specific physical functional limitations is the Sickness Impact Profile [75] physical subscales. These have already been used extensively in cardiac support device recipients [54, 58]. Cognitive functioning can be screened for attention, psychomotor speed, visuospatial processing, and memory deficits with two standard screens, the Trail Making test and the Digit-Symbol Substitution Task [76]. Device-specific concerns can be assessed with a brief instrument adapted from measures that have been used with LVAD patients in St. Louis and Pittsburgh [44] and Cleveland [69].

Administration, formulation of indices, and analysis issues
The HQL battery summarized in Table 2 should be administered to patients longitudinally over time as patients continue with the device in place. It should be noted that the cognitive screen will show marked learning effects initially. However, after patients reach their "ceiling" performance level, which occurs rapidly with repeated administration, the screen provides a sensitive indication of cognitive change. All instruments should be administered by interviewers, rather than being completed by patients on their own. Data collection in an interview format is necessary to maximize the quality and integrity of the data over that which would be expected from self-administered paper-and-pencil assessments. The interviewers can be lay personnel (ie, none of the examples of instruments provided here require interviewers with advanced specialty degrees), and only brief training would be required to standardize the interviewers’ administration of these instruments. With the exception of the cognitive screen, the examples of instruments described above can be completed equally well in person or by telephone.

The instruments all yield standard indices that can be used as specific outcomes in any given clinical evaluation. The computation of these indices is described in the publications referenced for each instrument. These indices can be computed for data gathered on each occasion that the patient is interviewed, and statistical analyses can then be employed to make three major types of comparisons (depending on the sponsor’s key research questions):

  1. Comparisons to normative data; as noted above, the recommended instruments were selected due to the availability of multiple normative databases.
  2. Patients as "their own" controls; longitudinal, repeated assessments of patients will provide the necessary data to evaluate changes from a designated reference point (eg, from baseline assessment).
  3. Comparison groups included directly in the study design; patients included in comparison groups could be assessed at similar repeated time points as device patients, and examination of differences in HQL indices could be performed for the majority of recommended HQL measures. The exception is the measure of device-specific concerns, which is relevant only to device recipients.

The decision as to which of these three categories of comparisons would be most appropriate to any specific protocol would depend on the sponsor’s research questions. In general, any proposed HQL evaluation of device patients should include a list of specific aims and research hypotheses. The analytic plan should address issues of sample size and statistical power to detect hypothesized HQL effects. As with any clinical trial outcome, the analytic plan should propose statistical techniques suitable for analyzing repeated measures data, especially when those data are likely to involve censoring (eg, due to patient death) or missing data at some timepoints but not others. There is now widespread availability of appropriate statistical tools for these situations [77, 78].

Acknowledgments

The conference was conducted with financial and other support from the following organizations: American College of Cardiology, The Society of Thoracic Surgeons, and American Society of Artificial Internal Organs. Additionally, participants included members of these United States agencies: Food and Drug Administration and National Institutes of Health.

Footnotes

1 This Conference, sponsored by The Society of Thoracic Surgeons, Food and Drug Administration/US Department of Health and Human Services, was held at Heart House, Bethesda, MD, Oct 14–15, 1995. Back

2 The recommendations set forth in this report are those of the Conference participants and do not necessarily reflect the official position of The Society of Thoracic Surgeons. This report was created through the efforts of the selected personnel and financial support of the sponsoring and participating organizations including the FDA and the NIH and may not reflect the official position of participating or sponsoring organizations. Back

Appendix 1. Additional information about suitable instruments for HQL battery

Core assessment of HQL
SF-36
The SF-36 is a 36-item measure that represents the state-of-the-art in brief health assessment methods [57, 74]. It was designed to focus on critical elements of general health and well-being and on the most efficient measurement of those elements. As a "generic" indicator of health status, it can be used in combination with disease- or illness-specific measures as an outcome in a variety of settings. Eight multi-item scales can be formed from the 36 items in the measure. These include physical functioning; general mental health; role limitations due to physical health problems; role limitations due to emotional problems; social functioning; vitality, energy or fatigue; bodily pain; and general health perceptions. A published manual provides extensive information on administration of the measure and on its reliability and validity [74]. The manual also includes norms for the general US population by seven age groups and by gender, and norms for a variety of acute and chronic medical conditions.

A reprint of the SF-36, plus a useful commentary on it and its applications may be found in the text by McDowell and Newell [79]. The SF-36 is in the public domain and no royalties are required for using it. However, permission to use it should be obtained from the Medical Outcomes Trust, a nonprofit organization that supports the development and use of standardized health outcome measures. For additional information, write to The Health Institute, New England Medical Center Hospitals, Box 345, 750 Washington St, Boston, MA 02111, USA.

Evans quality of life item
This item is reproduced in Figure 1. It provides a quick, global assessment of the quality of the respondent’s life, including both health-related and non–health-related elements. It was created by Roger Evans, PhD, for use in a variety of populations with chronic physical illnesses as well as in physically healthy cohorts [3739].



View larger version (15K):
[in this window]
[in a new window]
 
Fig 1. Evans Quality of Life item.

 
Supplement assessments
Physical functional status: Sickness impact profile subscales
The Sickness Impact Profile is a 136-item measure that includes a variety of subscales [75]. It focuses on changes in the respondent’s daily activities and behavior, and it inquires about the respondent’s experience on a given day (rather than over a longer time period). Thus, errors of memory are avoided. The ambulation, mobility, body care and movement, and sleep subscales concern specific physical functional limitations in areas relevant to device patients, and provide a more detailed assessment than that possible with the few physical items in the SF-36 described above. Because the Sickness Impact Profile is one of the most widely used measures of health status, a variety of data have been published concerning subscale scores in a variety of populations. McDowell and Newell [79] present a summary of information concerning the reliability and validity of the Sickness Impact Profile and its subscales. The full instrument and its subscales have been reproduced in the appendix to the Wenger et al text [80]. (Since Wenger et al is currently out of print, readers may also obtain a copy of the Wenger et al appendix from Mary Amanda Dew, PhD, Department of Psychiatry, 3811 O’Hara St, Pittsburgh, PA 15213.)

Cognitive status: Trail making and digit-symbol substitution tasks
Both of these tests are well-known neuropsychological measures that are easily administered and scored. They serve as a quick, portable screen for deficits in attention, psychomotor speed, visuospatial processing, and memory. Lezak [77] provides a description, a review, and examples of forms or items for each test. Trail Making is in the public domain; copies may be obtained from Mary Amanda Dew, PhD, at the address given above. The Digit-Symbol Substitution Task is part of the Wechsler Adult Intelligence Scale [81] and may be ordered from The Psychological Corporation, Order Service Center, PO Box 839954, San Antonio, TX 78283-3954 (or contact Dr Dew for more information).

Patients’ device-specific concerns
This measure has not been previously published but has been in use in the Artificial Heart Program, University of Pittsburgh Medical Center for several years [82]. It is reproduced in Figure 2. For additional information about administering the measure, contact Mary Amanda Dew, PhD, at the address given above.



View larger version (30K):
[in this window]
[in a new window]
 
Fig 2. Measure of patients’ device-specific concerns.

 
References

  1. McCarthy P.M., Sabik J.F. Implantable circulatory support devices as a bridge to heart transplantation. Semin Thorac Surg 1994;6:174-180.
  2. Frazier O.H., Radovancevic B., Abou-Awdi N.L., et al. Ventricular remodeling after prolonged ventricular unloading: "heart rest" experience with the HeartMate left ventricular assist device. J Heart Lung Transplant [Abstract] 1994;13:S51.
  3. McCarthy P.M., Nakatani S., Vargo R., et al. Structural and left ventricular histologic changes after implantable LVAD insertion. Ann Thorac Surg 1995;59:609-613.[Abstract/Free Full Text]
  4. Levin H.R., Oz M.C., Chen J.M., et al. Reversal of chronic ventricular dilation in patients with end-stage cardiomyopathy by prolonged mechanical unloading. Circulation 1995;91:2717-2720.[Abstract/Free Full Text]
  5. Charron M., Follansbee W., Ziady G.M., Kormos R.L. Assessment of biventricular cardiac function in patients with a Novacor left ventricular assist device. J Heart Lung Transplant 1994;13:263-267.[Medline]
  6. Chow E., Farrar D.J. Right heart function during prosthetic left ventricular assistance in a porcine model of congestive heart failure. J Thorac Cardiovasc Surg 1992;104:569-578.[Abstract]
  7. Pennington D.G., Reedy J.E., Swartz M.T., et al. Univentricular versus biventricular assist device support. J Heart Lung Transplant 1991;10:258-263.[Medline]
  8. Chow E., Farrar D.J. Effects of left ventricular pressure reductions on right ventricular systolic performance. Am J Physiol 1989;257(6 pt 2):H1878-H1885.
  9. Farrar D.J. Ventricular interactions during mechanical circulatory support. Semin Thorac Cardiovasc Surg 1994;6:163-168.[Medline]
  10. Mandarino W.A., Morita S., Kormos R.L., et al. Quantitation of right ventricular shape changes after left ventricular assist device implantation. ASAIO J 1992;38:M228-M231.[Medline]
  11. Mandarino W.A., Gorcsan J., III, Armitage J.M., Griffith B.P., Kormos R.L. Assessment of the response of right ventricular performance to decreasing levels of mechanical assistance by on-line pressure area relationships. ASAIO J 1994;40:1032-1035.[Medline]
  12. Frazier O.H., Rose E.A., Macmanus Q., et al. Multicenter clinical evaluation of the HeartMate 1000 IP left ventricular assist device. Ann Thorac Surg 1992;53:1080-1090.[Abstract]
  13. Kormos R.L., Gasior T.A., Kawai A., et al. Transplant candidate’s clinical status rather than right ventricular (RV) function defines need for univentricular vs. biventricular support. J Thorac Cardiovasc Surg 1996;111:773-783.[Abstract/Free Full Text]
  14. Levin H.R., Burkhoff D., Oz M.C., et al. Pre-operative right ventricular stroke work is a major determinant of right heart failure in patients after left ventricular assist device implantation. J Heart Lung Transplant 1994;13(Suppl 1):S73.
  15. Kormos R.L., Gasior T., Antaki J., et al. Evaluation of right ventricular function during clinical left ventricular assistance. ASAIO Trans 1989;35:547-550.[Medline]
  16. McCarthy P.M., Savage R.M., Fraser C.D., et al. Hemodynamic and physiologic changes during support with an implantable left ventricular assist device. J Thorac Cardiovasc Surg 1995;109:409-418.[Abstract/Free Full Text]
  17. Kormos R.L., Murali S., Dew M.A., et al. Chronic mechanical circulatory support: rehabilitation, low morbidity, and superior survival. Ann Thorac Surg 1994;57:51-58.[Abstract]
  18. Burnett C.M., Duncan M.J., Frazier O.H., et al. Improved multiorgan function after prolonged univentricular support. Ann Thorac Surg 1993;55:65-71.[Abstract]
  19. Wang I., Kottke-Marchant K., Vargo R.L., McCarthy P.M. Hemostatic profiles of HeartMate ventricular assist device recipients. ASAIO J 1995;41:M782-M787.[Medline]
  20. Jaski B.E., Branch K.R., Adamson R., et al. Exercise hemodynamics during long-term implantation of a left ventricular assist device in patients awaiting heart transplantation. J Am Coll Cardiol 1993;22:1574-1580.[Abstract]
  21. Branch K.R., Dembitsky W.P., Peterson K.L., et al. Physiology of the native heart and ThermoCardiosystems left ventricular assist device complex at rest and during exercise: implications for chronic support. J Heart Lung Transplant 1994;13:641-651.[Medline]
  22. Frazier O.H., Benedict C.R., Radovancevic B., et al. Improved left ventricular function after chronic left ventricular unloading. Ann Thorac Surg 1996;62:675-682.[Abstract/Free Full Text]
  23. Mandarino W.A., Gorcsan J., III, Gasior T.A., et al. Estimation of left ventricular function in patients with a left ventricular assist device. ASAIO J 1995;41:M544-M547.[Medline]
  24. Bombardier C., Ware J., Russell I.J., Larson M., Chalmers A., Read J.L. Auranofin therapy and quality of life in patients with rheumatoid arthritis: results of a multicenter trial. Am J Med 1986;81:565-578.[Medline]
  25. Bulpitt C.J., Fletcher A.E. Quality of life evaluation of antihypertensive drugs. PharmacoEconomics 1992;1:95-102.[Medline]
  26. Croog S.H., Levine S., Testa M.A., et al. The effects of antihypertensive therapy on the quality of life. N Engl J Med 1986;314:1657-1664.[Abstract]
  27. Dew M.A., Harris R.C., Simmons R.G., Roth L.H., Armitage J.M., Griffith B.P. Quality-of-life advantages of FK 506 vs conventional immunosuppressive drug therapy in cardiac transplantation. Transplant Proc 1991;23:3061-3064.[Medline]
  28. Edelson J.T., Weinstein M.C., Tosteson A.N.A., Williams L., Lee T.H., Goldman L. Long-term cost-effectiveness of various initial monotherapies for mild to moderate hypertension. JAMA 1990;263:407-413.[Abstract]
  29. Patrick D.L., Deyo R.A. Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989;27:S217-S232.[Medline]
  30. Testa M.A., Anderson R.B., Nackley J.F., Hollenberg N.K. Quality of life and antihypertensive therapy in men: a comparison of captopril with enalapril. N Engl J Med 1993;328:907-913.[Abstract/Free Full Text]
  31. Wilson I.R., Cleary P.D. Linking clinical variables with health-related quality of life: a conceptual model of patient outcomes. JAMA 1995;273:59-65.[Abstract]
  32. Bulpitt C.J., Fletcher A.E. Measurement of the quality of life in congestive heart failure—influence of drug therapy. Cardiovasc Drugs Ther 1988;2:419-424.
  33. Canadian Erthropoietin Study Group. Association between recombinant human erythropoietin and quality of life and exercise capacity of patients receiving haemodialysis. Br Med J 1990;300:575-578.
  34. Cleary P.D., Epstein A.M., Oster G., et al. Health-related quality of life among patients undergoing percutaneous transluminal coronary angioplasty. Med Care 1991;29:939-950.[Medline]
  35. Eschbach J.W., Abdulhadi M.H., Browne J.K., et al. Recombinant human erythropoietin in anemic patients with end-stage renal disease: results of a phase III multicenter clinical trial. Ann Intern Med 1989;111:992-1000.
  36. Evans R.W. The economics of heart transplantation. Circulation 1987;75:63-76.[Free Full Text]
  37. Evans R.W. Recombinant human erythropoietin and the quality of life of end-stage renal disease patients: a comparative analysis. Am J Kidney Dis 1991;18(Suppl 1):62-70.[Medline]
  38. Evans R.W. Quality of life assessment and the treatment of end-stage renal disease. Transplant Rev 1990;4:1-23.
  39. Evans R.W. Psychosocial aspects of heart transplantation. In: Walter P.J., ed. Quality of life after open heart surgery. Dordrecht, the Netherlands: Kluwer Academic, 1992:469-482.
  40. McMillem C., Fiegl P., Metch B., Hayden K.A., Meyskens F.L., Crowley J. Quality of life end points in cancer clinical trials: review and recommendations. J Natl Cancer Inst 1989;81:485-495.[Abstract/Free Full Text]
  41. Rogers W.J., Johnstone D.E., Yusuf S., et al. Quality of life among 5,025 patients with left ventricular dysfunction randomized between placebo and enalapril: the studies of left ventricular dysfunction. J Am Coll Cardiol 1994;23:393-400.[Abstract]
  42. Tarlov A.R. Outcomes assessment and quality of life in patients with human immunodeficiency virus infection. Ann Intern Med 1992;116:166-167.
  43. Testa M.A., Nackley J.F. Methods for quality-of-life studies. Annu Rev Public Health 1994;15:535-559.[Medline]
  44. Avis N.E., Czajkowski S.M., Dew M.A., et al. Evaluation of an implantable ventricular assist system for humans with chronic refractory heart failure: measuring quality of life. ASAIO J 1995;41:32-41.[Medline]
  45. Health-related quality of life: a review of findings from NHLBI-supported clinical research. National Heart, Lung, and Blood Institute. US Government Printing Office 1995.
  46. Schron E.B., Gorkin L., Garg R. Evaluating quality of life in congestive heart failure: issues, progress, and recommendations. In: Kennedy G.T., Crawford M.H., eds. Congestive heart failure: current clinical issues. Armonk, NY: Futura, 1994.
  47. Schron E.B., Shumaker S.A. The integration of health quality of life in clinical research: experiences from cardiovascular clinical trials. Prog Cardiovasc Nurs 1991;7:21-28.
  48. Freedberg K.A., Tosteson A.N.A., Cohen C.J., Cotton D.J. Primary prophylaxis for Pneumocystis carinii pneumonia in HIV-infected people with CD4 counts below 200: a cost-effectiveness analysis. J Acquir Immune Defic Syndr 1991;4:521-531.
  49. Gelber R.D., Goldhirsch A. A new endpoint for the assessment of adjuvant therapy in post menopausal women with operable breast cancer. J Clin Oncol 1986;4:1772-1779.[Abstract]
  50. Their S.O. Forces motivating the use of health status assessment measures in clinical settings and related clinical research. Med Care 1992;30:MS15-MS22.[Medline]
  51. Recombinant human erythropoietin: payment options for Medicare. Washington, DC: Office of Technology Assessment, 1990. US Government Printing Office publication OTA-H-451.
  52. Sisk J.E., Gianfrancesco F.D., Coster J.M. Medicare payment options for recombinant erythropoietin therapy. Am J Kidney Dis 1991;18(Suppl 1):93-97.
  53. Constitution in basic documents. Geneva: World Health Organization, 1948.
  54. Dew M.A., Kormos R.L., Roth L.H., et al. Life quality in the era of bridging to cardiac transplantation: bridge patients in an outpatient setting. ASAIO J 1993;39:145-152.[Medline]
  55. Dew M.A., Simmons R.G. The advantage of multiple measures of quality of life. Scand J Urol Nephrol 1990;131(Suppl):23-30.
  56. In: Walter J., Shannon T., eds. Quality of life: The new medical dilemma. NY: Paulist Press, 1990.
  57. In: Stewart A.L., Ware J.E., eds. Measuring functioning and well-being: the medical outcomes study approach. Durham, NC: Duke University Press, 1992.
  58. Dew M.A., Kormos R.L., Nastala C., et al. Psychiatric and psychosocial issues and intervention among ventricular assist device patients. In: Albert W., Bittner A., Hetzer R., eds. Quality of life and psychosomatics in mechanical circulation and heart transplantation. Darmstadt, Germany: Steinkopff Verlag, 1998:17-27.
  59. Bunzel B., Grundböck A., Laczkovics A., Holzinger C., Teufelsbauer H. Quality of life after orthotopic heart transplantation. J Heart Lung Transplant 1991;10:455-459.[Medline]
  60. Jones B.M., Taylor F., Downs K., Spratt P. Longitudinal study of quality of life and psychological adjustment after cardiac transplantation. Med J Aust 1992;157:24-26.[Medline]
  61. Lough M.E., Lindsey A.M., Shinn J.A., Stotts N.A. Life satisfaction following heart transplantation. J Heart Transplant 1985;4:446-449.[Medline]
  62. Mai F.M., McKenzie F.N., Kostuk W.J. Psychosocial adjustment and quality of life following heart transplantation. Can J Psychiat 1990;35:223-227.[Medline]
  63. O’Brien B.J., Buxton M.J., Ferguson B.A. Measuring the effectiveness of heart transplant programmes: quality of life data and their relationship to survival analysis. J Chronic Dis 1987;40:137S-153S.
  64. Samuelsson R.G., Hunt S.A., Schroeder J.S. Functional and social rehabilitation of heart transplant recipients under age thirty. Scand J Thorac Cardiovasc Surg 1984;18:97-103.[Medline]
  65. Shapiro PA, Levin H, Oz M. Left ventricular assist devices: psychosocial burden and implications for heart transplant programs. Presented at the Third Biennial Conference on Psychiatric, Psychosocial and Ethical Issues in Organ Transplantation, Richmond, VA, Oct 1994.
  66. Kormos R.L., Murali S., Dew M.A., et al. Chronic mechanical circulatory support: rehabilitation, low morbidity, and superior survival. Ann Thorac Surg 1990;57:51-58.
  67. Levin H.R., Chen J.M., Oz M.C., et al. Potential of left ventricular assist devices as outpatient therapy while awaiting transplantation. Ann Thorac Surg 1994;58:1515-1520.[Abstract]
  68. Myers T.J., Dasse K.A., Macris M.P., Poirier V.L., Cloy M.J., Frazier L.H. Use of a left ventricular assist device in an outpatient setting. ASAIO J 1994;40:M471-M475.[Medline]
  69. Kendell K, McCarthy PM, Sharp JW, Vargo RL. Quality of life for hospitalized implantable left ventricular assist device patients. Presented at the Annual Meeting of the International Society for Heart and Lung Transplantation, Venice 1993.
  70. Eidelman B.H., Obrist W.D., Wagner W.R., Kormos R., Griffith B. Cerebrovascular complications associated with the use of artificial circulatory support services. Neurocardiol 1993;11:463-474.
  71. Ruzevich S.A., Swartz M.T., Reedy J.E., et al. Retrospective analysis of the psychologic effects of mechanical circulatory support. J Heart Transplant 1990;9:209-212.[Medline]
  72. Williams B.A., Lough M.E., Shinn J.A. Left ventricular assist device as a bridge to heart transplantation: a case study. J Heart Transplant 1987;6:23-28.[Medline]
  73. Ware J.E., Sherbourne C.D. The MOS 36-item Short-Form Health Survey (SF-36): I. Conceptual framework and item selection. Med Care 1992;30:473-483.[Medline]
  74. Ware J.E., Kosinski M., Keller S.D. SF-36 physical and mental health summary scales: a user’s manual. Boston, MA: The Health Institute, 1994.
  75. Bergner M., Bobbitt R.A., Carter W., Gilson B. The Sickness Impact Profile: development and final revision of a health status measure. Med Care 1981;19:787-805.[Medline]
  76. Lezak M.D. Neuropsychological assessment, 2nd ed. New York: Oxford University Press, 1983.
  77. Gibbons R.D., Hedeker D., Elkin I., et al. Some conceptual and statistical issues in a