Objective The occurrence of right ventricular dysfunction is a well-known indicator of poor prognosis in patients with chronic cardiopulmonary disease. The role of right ventricular ejection fraction (RVEF) at rest and during exercise as predictors of outcome in patients awaiting lung transplantation (LTx) is unclear.
Design We performed a retrospective analysis of lung transplant candidates who had undergone equilibrium radionuclide angiography (ERNA), to determine baseline and exercise RVEF. Lung function, gas exchange and pulmonary haemodynamics were also assessed.
Patients and main outcome measures 152 patients (mean age 47±11 years; 59% women) were included in the study. Primary endpoint was death on the waiting list for LTx. Main diagnoses were α-1 antitrypsin deficiency (n=35), chronic obstructive pulmonary disease (n=41), cystic fibrosis (n=10), interstitial lung disease (n=34) and pulmonary arterial hypertension (n=32). Twenty-five patients died (16, 4%). LTx was performed in 121 patients. The mean RVEF at rest was equal to mean RVEF during exercise (38±12%). In univariate analysis RVEF at rest, RVEF during exercise, heart rate and forced volume capacity (FVC) % of predicted were factors significantly associated with risk of death. In multivariate analysis RVEF during exercise and FVC% of predicted were independent predictors of death.
Conclusions In lung transplant candidates, right ventricular function during exercise is a stronger predictor of outcome than right ventricular function at rest. RVEF during exercise assessed by ERNA could be incorporated into priority-based allocation algorithms for LTx.
- Clinical Physiology
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The purpose of this study was to explore the influence of right ventricular (RV) function at rest and during exercise, measured by equilibrium radionuclide angiography (ERNA) on mortality in patients awaiting lung transplantation (LTx).
The right ventricular ejection fraction (RVEF) during exercise is a stronger predictor of negative outcome than RVEF at rest in lung transplant candidates.
The inability to augment RVEF during exercise is a sign of latent dysfunction not evident at rest, and a sign of subnormal RV exercise reserve.
Strengths and limitations of this study
We have shown for the first time that RVEF during exercise, measured by ERNA, plays a more important role for survival than RVEF at rest in lung transplant candidates.
Patients with low RVEF during exercise should be given higher priority in organ allocation.
Non-invasive assessment of right heart function during exercise is still a challenge, and ERNA could be used for assessment of RVEF with reasonable accuracy.
The limitations of this study were the retrospective analysis of the patients accepted for LTx at a single centre, and a mixture of different diagnosis.
Right ventricular (RV) dysfunction is a well-known marker of poor prognosis in patients with different cardiopulmonary diseases. RV failure is associated with adverse outcome in patients with left heart failure1–4 and in patients with pulmonary arterial hypertension (PAH).5–7 Kawut et al8 showed that a lower right ventricular ejection fraction (RVEF) of 5% at baseline in patients with PAH confers a more than 60% increase in the risk for death.
LTx is currently a therapeutic option for carefully selected patients with advanced lung disease.9–10 Patients listed for LTx face a long waiting time, and mortality on the waiting list is still high.11–13 The association between RV function and outcome in patients with end-stage lung disease who are accepted for LTx is not known.
Non-invasive assessment of RV function at rest and during exercise is still a challenge. Despite the limitations of EF as a means of assessing RV function, it remains a popular technique due to conceptual simplicity and the availability of multiple modalities that can provide complementary information. RVEF provides an integrated view of the interaction of RV contraction and RV load. MRI is considered the golden-standard for measurement of the RVEF,14 but this investigation is accompanied by some drawbacks and is still not available for assessment of RV function during exercise. Equilibrium radionuclide angiography (ERNA) can be used for assessment of RV function with reasonable accuracy.15 ,16 It has been used for serial assessment of RVEF at rest and during exercise, and in heart failure populations it has been shown to be a predictor of outcome.1 Assessment of RV function at rest and during exercise by ERNA has been part of the routine pretransplant investigation of all potential lung transplant candidates at our institution.
We hypothesised that RVEF during exercise would better reflect the status of RV than RVEF at rest. We also hypothesised that lower RVEF during exercise might be associated with an increased risk for death in patients awaiting LTx.
Material and methods
We performed a retrospective study of 282 adult patients with advanced lung disease who were accepted for LTx at Sahlgrenska University Hospital between January 1990 and December 2003. Since 2001, evaluation of the RV function has been performed by echocardiography and this was the reason that only 72% of all patients accepted for LTx underwent ERNA at rest and 54% underwent ERNA during exercise. In the final analysis, we included only patients who had undergone ERNA investigation during exercise. The study was approved by Institutional Review Board of University of Gothenburg (approval number (Dnr): 341-06).
All patients who were evaluated for LTx routinely underwent laboratory testing, pulmonary function testing, transthoracic echocardiography, coronary angiography, ERNA and right heart catheterisation. Primary outcome was a death in a patient on the waiting list.
Follow-up was complete and outcome had been determined for all patients by the end of the study (31 December 2003).
Equilibrium radionuclide angiography
ERNA was performed at rest and during submaximal and maximal exercise in the supine position. The patient's red blood cells were labelled with 925 MBq Tc-99m pertechnetate using an in vivo/in vitro technique. Acquisition was conducted using a single-crystal ɣ camera with a general all-purpose collimator placed with a 20° caudal tilt in left anterior oblique position to give the best separation of the right and left ventricles.15 The images were obtained in frame mode. Time/frame was 50 ms at a heart rate of <90/min and 40 ms at a heart rate of >90/min. Acquisition at rest was stopped when the mean left ventricular count density was approximately 130/pixel (matrix size: 64×64; regular field of view camera, zoom 1.3).
The exercise was performed using a bicycle ergometer with the patient supine. Exercise was started at a workload of 25 W with an increment of 25 W every 4 min. Equilibrium radionuclide angiographic acquisition was conducted during the last 3 min of each stage. The 12-lead ECG was monitored throughout the examination. The criteria for terminating exercise were severe angina pectoris, severe fatigue, shortness of breath, a decrease in systolic blood pressure, complex ventricular arrhythmias or marked ST-segment changes. RVEF was calculated using manually drawn RV regions of interest and background region of interest.15 ,17
Dynamic spirometric tests were carried out using a Bernstein spirometer (Vitalograph, Burkingham, UK) until 1994, and then on an air rolling-seal spirometer (Sensormedicus, California, USA) according to standard criteria of the American Thoracic Society.18 Arterial blood gases, PaO2 and PaCO2 were obtained with patients in the upright position and breathing room air.
Right heart catheterisation was performed at rest using the internal jugular vein approach, with a Swan-Ganz pulmonary artery catheter (Baxter Health Care Corp., Edwards Div., Santa Ana, California, USA).
RV, pulmonary artery and pulmonary capillary wedge pressures were measured. Cardiac output was determined by the thermodilution method. Cardiac index was calculated from cardiac output divided by the body surface area. Pulmonary vascular resistance (PVR) was calculated from the ratio of the transpulmonary gradient (mean pulmonary pressure minus the mean pulmonary capillary wedge pressure) and cardiac output.
Continuous variables are presented as mean±SD or median (IQR). Categorical variables are summarised as frequency and percentage. SPSS software version 17.0.1 (SPSS; Chicago, Illinois, USA) was used for all analyses. Comparisons between groups were performed by independent-samples Student's t test, Mann–Whitney U-test or χ2 test where appropriate. Paired t test was used to compare two sets of quantitative data when data in each sample set were related in a special way.
Potential risk factors were initially analysed for significant association with mortality on the waiting list using Cox proportional hazards model for continuous variables.
Risk factors with a level of significance of p<0.05 in the univariate analysis were included in the multivariate model. We chose p<0.05 as the inclusion criterion for multivariate Cox regression analysis because of the small number of events (n=25).
Kaplan–Meier graphs were used in the survival analysis and the log-rank test was used to test differences between curves. Patients who underwent LTx were discontinued from the study at the time of transplantation, and patients who were alive and still waiting for transplantation on the date when the study closed were also censored.
In the final analysis, we included 152 patients who had undergone ERNA during exercise. The mean age was 47±11 (SD) years and 59% were women. Twenty-five patients on the waiting list had died (the non survivor group, 16.4%). One hundred and twenty-one patients underwent LTx, and six patients were alive and still waiting for LTx at the end of the study (the survivor group, n=127; 83.6%; table 1). Patients on the waiting list with α-1 antutrypsin deficiency (α-1 ATD) had the lowest mortality and those with interstitial lung disease (ILD) had the highest mortality. The median waiting time for transplanted patients during the study period was 299 (136–619) days and median time to death for patients on the waiting list was 188 (44–559) days.
Comparison between survivors and non-survivors on the waiting list
Table 2 shows the patient characteristics, haemodynamics, dynamic spirometric indices, gas exchange, RVEF and left ventricular ejection fraction (LVEF) at rest and during exercise at time of referral for transplantation. Patients on the waiting list who died had a significantly lower RVEF at rest (32±14% vs 39±11%, p=0.01) and even more significantly lower RVEF during exercise (30±13% vs 39±12%, p=0.001). Seventy-two per cent of non-survivors had unchanged or reduced RVEF during exercise as compared with 57% of survivors (p=0.19).
The non-survivors had lower forced vital capacity (FVC) % of predicted (p=0.01), higher heart rate (p=0.06) and lower LVEF (p=0.054) during exercise. There was no significant difference in forced expiratory volume in 1 s (FEV1) between groups (p=0.83). There was no significant difference in 6-min walking distance or arterial saturation at rest between the two groups. The non-survivors had more severe arterial desaturation during exercise than the survivors. The results of right heart catheterisation did not show any significant differences.
The mean RVEF at rest and the mean RVEF during exercise for the entire cohort were the same (38±12%, p=0.87). The mean LVEF during exercise for the entire cohort was significantly higher than the LVEF at rest (69±10 vs 65±10, p<0.001). Sixty-one per cent of patients managed to cope with a starting load of 25 W (low capacity) and only 14% managed to get up the third and fourth levels (75 and 100 W high capacity). There was no significant difference in survival between the two groups (low and high physical capacities, p=0.89).
Patients with PAH, ILD and cystic fibrosis (CF) showed reduced RVEF during exercise in comparison to the value at rest (table 3).
Univariate and multivariate analysis
By univariate analysis, RVEF at rest, RVEF during exercise, HR and FVC% of predicted were associated with significant risk of death (table 4). Six-minute walking test (6MWT) and New York Heart Association class were excluded from univariate analysis. The reason for excluding the 6MWT from the analysis was the use of the 12 min walking test in the early 1990s. All patients accepted for LTx were in an advanced functional class (IIIB or IV). The lack of increase in RVEF during exercise was not significantly associated with outcome in univariate analysis (p=0.16).
In multivariate analysis, FVC% of predicted and RVEF during exercise were found to be independent predictors of mortality (table 5). Patients on the waiting list with RVEF during exercise of <38% (the mean value for all 152 patients) had significantly higher mortality (figure 1).
We have shown that RV function estimated by ERNA during exercise is a stronger predictor of mortality in patients with end-stage lung diseases on the waiting list for LTx than RV function at rest.
The normal exercise RV reserve is defined as an absolute increment in RVEF of at least 5%.19–21 In contrast to normal subjects, many patients with advanced lung disease are able to increase RVEF during exercise, and this may explain the reduced exercise capacity seen in these patients.22 RV dysfunction in patients with pulmonary disease may not be present in the resting state, but may become manifest only under physiological stress such as exercise.23 This lack of increase in RVEF during exercise is a sign of latent dysfunction that is not evident at rest, and a sign of subnormal RV exercise reserve.
There are several possible mechanisms behind reduced RV reserve in patients with lung disease.
We know that in patients with pulmonary diseases, the ability to enhance RV systolic performance during exercise is largely determined by the increase in pulmonary resistance and therefore RV afterload.24–26 The RV hypertrophy observed in patients with pulmonary hypertension is a compensatory mechanism aimed at reducing the wall tension and thereby oxygen consumption. We know that RV hypertrophy is relatively common in patients with advanced pulmonary diseases and compensated pulmonary hypertension. It is conceivable that during exercise, oxygen requirements of the hypertrophied RV may exceed demand, resulting in relative ischaemia and systolic dysfunction.27 Pressure overload of the RV may also lead to RV ischaemia, which may aggravate ventricular dysfunction.28 Abnormalities in perfusion of hypertrophied RV may contribute to lower RVEF.29–30
Resting arterial hypoxaemia and the severity of ventilatory impairment are important determinants of abnormal exercise RV reserve in patients awaiting LTx. The common factor behind modulated RV exercise performance appears to be altered RV afterload. A restricted, relatively non-recruitable pulmonary vascular bed with inordinately high-pulmonary arterial pressure was considered to be the most likely mechanism for the failure of RVEF to increase normally with exercise.20 Olvey et al31 showed that low–flow oxygen therapy can improve the RVEF response to exercise in some patients with chronic obstructive pulmonary disease (COPD), although maximum exercise performance did not improve.
Another potential cause could be lower arterial oxygen saturation during exercise. In our cohort, arterial saturation during the walking test were significantly lower in patients on the waiting list who subsequently died (76±15% in those who died vs 81±9% in those who did not; p=0.039). This is similar to the findings of others.32 ,33 The potential mechanism of desaturation in patients with advanced lung disease includes ventilation–perfusion mismatching, intrapulmonary shunts, low mixed venous oxygen saturation and patent foramen ovale.
We cannot exclude myocardial fibrosis as a contributing factor to reduced RV function during exercise. McCann et al34 have demonstrated that fibrosis occurs frequently in patients with pulmonary hypertension and is inversely related to measures of RV systolic function.
The present study has even shown a significant but not strong correlation between RVEF and pulmonary haemodynamics (pulmonary artery pressures, PVR, stroke volume index), LVEF and renal function. Lower LVEF (probably, due to ventricular interdependence), higher PVR and reduced renal function were independently associated with lower RVEF (unpublished data).
Functional assessment of patients with advanced lung disease who are awaiting LTx offers the promise of improved risk stratification beyond that provided by conventional measures of lung disease. We have already accepted 6MWT as a predictor of prognosis in patients with COPD and PAH. Kawut et al32 showed that CPET was associated with the risk of death in patients with diffuse parenchymal lung disease.
The study had several limitations. It was a retrospective analysis of the patients with advanced lung diseases who were accepted for transplantation at a single centre. Patients who were not accepted and patients who did not undergo ERNA during exercise were excluded from analysis, which may have led to selection bias. Another limitation could have been the mixture of different diagnoses (diseases of the air way (COPD, α1 ATD), diffuse parenchymal/ILD, a pure vascular disease such as PAH and multiple-organ disease—CF). At the same time, this combined population strengthened the importance of RV function in survival awaiting LTx. Further limitations were the small study population and the absence of measurement of pulmonary arterial pressure during exercise.
In summary, we have shown for first time that RV function during exercise measured by ERNA plays a more important role for survival of lung transplant candidates on the waiting list than RV function at rest. Assessment of RV function during exercise and discovery of latent RV dysfunction should be subjects of further study.
These results may have implications for prioritisation of patients listed for transplantation regarding organ allocation.
Contributors NS had full access to all data and took responsibility for the integrity of the data and the accuracy of the analyses, contributed to study design, data acquisition, analysis and preparation of the manuscript. BA contributed to the study design, analysis and preparation of the manuscript. OB-H contributed with several valuable points and revision of the manuscript. ML contributed with several valuable points, especially regarding ERNA data, and revision of the manuscript. GCR contributed with several valuable points and revision of the manuscript. BR contributed to the conception and design of the study and to preparation of the manuscript. All authors read and approved the final manuscript.
Funding The study was supported by the Swedish Research Council.
Competing interests None.
Ethics approval Institutional Review Board at University of Gothenburg.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
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