Methods: Between January 2011 and December 2020, a total of 173 patients (114 males, 59 females; mean age: 53.1±12.5 years; range, 18 to 77 years) who had advanced lung disease or pulmonary vascular disease and were included in the lung transplant list were retrospectively analyzed. Demographic characteristics, laboratory values, long-term mortality data, and clinical and cardiac catheterization data of the patients were compared using a TAPSE/PASP cut-off value of 0.55 mm/mmHg. The univariate and multivariate regression analyses were performed to identify the value of TAPSE/PASP ratio in predicting long-term mortality. The maximal selective rank test was carried out to determine the optimal cut-off value for TAPSE/PASP ratio.
Results: The univariate regression analysis revealed that the TAPSE/PASP ratio, six-minute walk distance, and albumin level were found to be predictors of mortality (hazard ratio [HR]=0.61, 95% confidence interval [CI]: 0.46-0.80, p=0.007; HR=0.72, 95% CI: 0.56-0.91, p=0.007; and HR=0.77, 95% CI: 0.59-0.99, p=0.04, respectively). In the multivariate regression analysis, the TAPSE/PASP ratio, body mass index, and six-minute walk distance were the predictors of mortality (HR=0.49, 95% CI: 0.34-0.70, p=0.004; HR=0.71, 95% CI: 0.51-0.97, p=0.03; and HR=0.71, 95% CI: 0.54-0.94, p=0.01, respectively).Through the maximal selective rank test, the optimal threshold value for TAPSE/PASP ratio was found to be 0.29 mm/mmHg. Patients with TAPSE/PASP >0.29 mm/ mmHg had an average life expectancy of 47.8 months, while the patients with TAPSE/PASP <0.29 mm/mmHg had an average life expectancy of 17.2 months.
Conclusion: Our study results suggest that a TAPSE/PASP ratio of <0.29 mm/mmHg is a poor prognostic factor for long-term mortality in patients on the waiting list for lung transplantation.
Pulmonary hypertension (PH) has been reported to have an effect on mortality in LTx candidates and also in heart, kidney, and liver transplant patients.[4-6] Whether or not PH develops is also important in terms of the treatment plan in LTx candidates, the need for unilateral or bilateral LTx, and the need for extracorporeal membrane oxygenator (ECMO) during the operation.[7] During the LTx evaluation process, evaluation of the candidate by cardiac catheterization, determination of the presence of PH by calculating pulmonary artery systolic pressure (PASP) and mean pulmonary artery pressure (mPAP) is a routine and gold-standard method in terms of progression of the patient's underlying lung disease and correct timing for transplantation. Secondary to PH, the right ventricle (RV) tries to maintain RV-pulmonary artery (PA) coupling and flow by increasing contractility in response to increased afterload. However, if this compliance is exhausted and the RV is insufficient, an increase in RV filling pressures, RV dilatation and systemic congestion may occur due to different mechanisms such as Starling's law.[8-10] The function of RV is one of the main determinants of prognosis in patients with severe PAH and PH secondary to advanced pulmonary disease.[8,9] Tricuspid annular plane systolic motion (TAPSE) is a critical echocardiographic parameter reflecting RV function that may be useful in LTx candidate evaluation, but the gold-standard measure of RV contractility is end-systolic elastance (Ees) derived from pressure-volume loops by cardiac catheterization. The RV-PA coupling is best characterized by the ratio of RV Ees to arterial elastance (Ea).[8-10] The TAPSE/PASP ratio is thought to be a non-invasive, echocardiographic marker of RV-PA coupling. In addition, the prognostic importance of the TAPSE/PASP ratio in various diseases such as PAH and congestive heart failure has been demonstrated by previous studies.[12-21]
In the present study, we aimed to evaluate the prognostic value of the TAPSE/PASP ratio in patients listed for LTx.
Echocardiographic examinations of patients were performed with a 3.5-MHz or M5S ultrasound probe and Vivid E95 ultrasound device (General Electric Vingmed Ultrasound, Milwaukee, WI, USA). All standard measurements were made in accordance with the European Association of Cardiovascular Imaging (EACVI) and American Society of Echocardiography (ASE) guidelines.[22] The echocardiographic parameters were as follows: left ventricular (LV) end-diastolic and end-systolic diameters with M-mode, LV ejection fraction (LVEF%) calculated by the Biplane Simpson?s method, TAPSE, the maximum jet velocities (Vmax) calculated from the tricuspid regurgitant jet, and pulmonary artery systolic pressure calculation by Bernoulli equation in accordance with currently available echocardiography guidelines.[22] Cardiac catheterization was performed via the femoral artery and vein in all patients. Right ventricular, right atrial, PA, aortic, and LV pressures, and blood gas analysis from these cavities were obtained. Cardiac output, cardiac index, pulmonary vascular resistance (PVR), and systemic vascular resistance were calculated using the Fick method.
In previous studies, different cut-off values such as 0.31 mm/mmHg and 0.47 mm/mmHg were used for the TAPSE/PASP ratio.[18,23] Patients included in the study were divided into two groups according to TAPSE/PASP ratio with a cut-off value of 0.55 mm/mmHg. This cut-off value was considered the cut-off value for the prediction of PH in the 2022 European Society of Cardiology (ESC) PH guideline.[24] In Group 1, there were 64 patients with a TAPSE/PASP ratio of >0.55 mm/mmHg, while in Group 2, there were 109 patients with a TAPSE/PASP ratio of <0.55 mm/mmHg. Comparison between these groups was made regarding demographic characteristics, comorbidities, laboratory values, long-term mortality and cardiac catheterization data.
Statistical analysis
Statistical analysis was performed using the
Jamovi version 2.6.2 (The Jamovi project, Sydney,
Australia). Distribution of the variables was checked
using the Kolmogorov-Smirnov test. Normally
distributed continuous variables were expressed in
mean ± standard deviation (SD) and non-normally
distributed continuous variables were expressed in
median and interquartile range (IQR). Categorical variables were expressed in number and frequency.
Numerical values between the two groups were
compared using Student t-test or Mann-Whitney
U test according to whether they were normally
distributed or not, and categorical variables were
compared using the chi-square or Fisher exact
test. The Cox proportional regression analysis was
used to test the parameters that may be clinically
important for disease prognosis and mortality by
univariate and multivariate analysis. Linear model
analysis of variance (ANOVA) test was performed
to compare the mean distributions and p values of
echocardiography and cardiac catheterization data
between the groups. The maximal selected rank
test was used to determine optimal cut-off value
for TAPSE/PASP ratio. The survival analysis using
Kaplan-Meier curves was carried out for both groups,
which were divided according to the optimal cut-off
value. A p value of <0.05 was considered statistically
significant.
In the linear model analysis, PVR, PA, right atrial, and LV end-diastolic pressures were found to be higher in the low TAPSE/PASP group (Supplementary Table 1). In addition, the distribution of spirometry and 6MWD data were evaluated according to TAPSE/PASP categories and no significant difference was found between the two groups (Supplementary Table 2).
Maximal selective rank test was performed to determine the optimal cut-off value of TAPSE/PASP ratio for long-term mortality. The optimal cut-off value for mortality was 0.29 mm/mmHg (Figure 2). Then, the patients were further divided into two groups as TAPSE/PASP <0.29 mm/mmHg and TAPSE/PASP >0.29 mm/ mmHg. The average life expectancy was found to b e h igher i n p atients w ith T APSE/PASP >0.29 mm/mmHg. Patients with TAPSE/PASP >0.29 mm/mmHg had 47.2 months average life expectancy, while patients with TAPSE/PASP <0.29 months had only 17.2 months average life expectancy. In patients with TAPSE/PASP >0.29 mm/mmHg, the survival rates at 12, 36, and 60 months were 80.1%, 56.5%, and 46.7%, respectively. In the group with TAPSE/PASP <0.29 mm/mmHg, the survival rates were 52.2%, 26.6%, and 14.3%, respectively (Supplementary Table 3). The higher survival for patients with higher TAPSE/PASP ratio for a cut-off value of 0.29 mm/mmHg is demonstrated with Kaplan-Meier survival curves in Figure 3. Relative effect scheme of TAPSE/PASP ratio for long-term mortality is given in Figure 4.
Univariate regression analysis was performed for long-term mortality in patients on the waiting list for LTx. The TAPSE/PASP ratio, 6MWD, and albumin value were found to be predictors of mortality (hazard ratio [HR]=0.61, 95% confidence interval [CI]: 0.46-0.80, p=0.007; HR=0.72, 95% CI: 0.56-0.91, p=0.007; and HR=0.77, 95% CI: 0.59- 0.99, p=0.04, respectively) (Table 3). In addition, multivariate regression analysis was carried out for long-term mortality. Accordingly, the TAPSE/PASP ratio, BMI, and 6MWD were found to be predictors of mortality (HR=0.49, 95% CI: 0.34-0.70, p=0.004; HR=0.71, 95% CI: 0.51-0.97, p=0.03; and HR=0.71, 95% CI: 0.54-0.94, p=0.01, respectively) (Table 4).
Secondary PH in advanced lung disease increases the afterload and causes a pressure load on the RV. In the early period, the RV responds and adapts to this increased afterload by increasing its contractility and wall thickness to reduce wall tension according to Laplace's law. Thanks to this adaptation, the RV pumps sufficient blood to the PA despite the increased afterload and this is referred to as RV-PA coupling.[8,9] However, with the progression of the disease, this adaptation is impaired, RV systolic function cannot be increased further, a mismatch between myocardial oxygen demand and supply develops due to RV hypertrophy and increased filling pressure, RV failure develops and the coupling between RV-PA is disrupted.[30-32] In previous studies, development of RV dysfunction in advanced pulmonary patients such as COPD, interstitial lung disease (ILD) and CF has been associated with poor prognosis.[33-35] After the development of RV-PA uncoupling, RV cannot pump blood efficiently against the afterload and progression of disease in these patients leads to the addition of heart failure symptoms.[32] Of note, RV-PA uncoupling is associated with increased mortality in patients with advanced pulmonary disease and PAH.[16,36]
Recent studies have shown that the RV-PA junction has a significant reserve and RV volume is maintained until the Ees/Ea ratio decreases from 1.5-2 to 0.8.[11] Therefore, the Ees/Ea ratio may help to predict right heart failure in PH.[8,9] However, measuring the Ees/Ea ratio through pressure-volume loops is invasive, technically difficult and costly. Therefore, the TAPSE/PASP ratio has been considered as the equivalent of Ees/Ea, considering that TAPSE measured by non-invasive echocardiography predicts contractility and PASP predicts afterload.[12-14] Previous studies have also demonstrated that the TAPSE/PASP ratio is a valuable parameter in predicting disease prognosis in patients with heart failure and PAH in whom right heart overload is critical in the disease course.[10,12-14] According to the latest ESC/European Respiratory Society (ERS) PH guidelines, the TAPSE/PASP ratio is considered a prognostic factor in predicting prognosis in PH patients.[24] In addition, TAPSE/PASP ratio has been shown to be predictive of mortality in patients with acute heart failure, amyloidosis, patients undergoing LV assist device (LVAD) implantation, and patients undergoing transcatheter aortic valve implantation.[15-21] According to our study, the TAPSE/PASP ratio also predicts mortality in patients listed for LTx.
Tello et al.[36] found the c ut-off v alue for RV-PA mismatch (Ees/Ea <0.805) to be 0.31 mm/mmHg in severe PAH patients and associated TAPSE/PASP <0.31 mm/mmHg with increased mortality in severe PAH. Ishii et al.[16] found t he optimal cut-off value for TAPSE/PASP to be 0.30 mm/mmHg in a study performed in PAH patients who were LTx candidates and found mortality to be significantly higher in the group with TAPSE/PASP <0.30 mm/mmHg. In our study, we found the optimal cut-off value of the TAPSE/PASP ratio for mortality to be 0.29 mm/mmHg and showed that a decrease in the TAPSE/PASP ratio was associated with an increased mortality. Our cut-off value is similar to the cut-off values determined for PH patients in previous studies.[11,16]
According to the 2022 ESC/ERS PAH diagnosis and treatment guidelines, patients with a TAPSE/PASP ratio <0.19 mm/mmHg are classified as high-risk, with a reported one-year mortality rate exceeding 20%.[24] However, in our study, we found that, when the TAPSE/PASP ratio was <0.29 mm/mmHg, the one-year mortality rate was 47.8%. This discrepancy may be related to sample selection. Given the differences in mortality observed in patients undergoing LTx for PAH, we suggest that the TAPSE/PASP ratio should be reconsidered while selecting candidates for LTx, and further cohort studies are needed to explore this issue.
There are some limitations to this study. Although the hospital where the study was conducted is the largest LTx center in Türkiye, the single-center, retrospective design of our study is one of the major limitations. In addition, dynamic changes in the TAPSE/PASP ratio during follow-up may be valuable in predicting prognosis; however, due to the design of our study, we were unable to evaluate changes in the TAPSE/PASP ratio. Further multicenter, large-scale, long-term, prospective studies may be needed to confirm these findings.
In conclusion, the TAPSE/PASP ratio as a marker right ventricle-pulmonary artery uncoupling seems to be an independent predictor of long-term mortality in patients listed for lung transplantation. A TAPSE/PASP value below the cut-off value (0.29 mm/mmHg) is associated with a higher risk status and increased mortality during follow-up in this patient population.
Data Sharing Statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Author Contributions: Concept: K.B., B.K.; Design: K.B., P.A.G., N.D.; Supervision: A.K., P.A.G., G.A.; Data collection and/or processing: K.B., A.K.; Analysis and/or interpretation: B.K., A.K., M.V., N.D.; Literature Review: K.B., E.T., G.A.; Writing: K.B.; Critical review: E.T., M.V., G.A.; References and fundings: B.K., M.V., E.T.; Materials: B.K., P.A.G., E.T., N.D.
Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.
Funding: The authors received no financial support for the research and/or authorship of this article.
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