Abstract

Introduction: Exercise pulmonary hypertension (exPH) has been defined as total pulmonary resistance (TPR) >3 mm Hg/L/min and mean pulmonary artery pressure (mPAP) >30 mm Hg, albeit with a considerable risk of false positives in elderly patients with lower cardiac output during exercise. Methods: We retrospectively analysed patients with unclear dyspnea receiving right heart catheterisation at rest and exercise (n=244) between January 2015 and January 2020. Lung function testing, blood gas analysis, and echocardiography were performed. We elaborated a combinatorial score to advance the current definition of exPH in an elderly population (mean age 67.0 years±11.9). A stepwise regression model was calculated to non-invasively predict exPH. Results: Analysis of variables across the achieved peak power allowed the creation of a model for defining exPH, where three out of four criteria needed to be fulfilled: Peak power ≤100 Watt, pulmonary capillary wedge pressure ≥18 mm Hg, pulmonary vascular resistance >3 Wood Units, and mPAP ≥35 mm Hg. The new scoring model resulted in a lower number of exPH diagnoses than the current suggestion (63.1% vs. 78.3%). We present a combinatorial model with vital capacity (VCmax) and valvular dysfunction to predict exPH (sensitivity 93.2%; specificity 44.2%, area under the curve 0.73) based on our suggested criteria. The odds of the presence of exPH were 2.1 for a 1 l loss in VCmax and 3.6 for having valvular dysfunction. Conclusion: We advance a revised definition of exPH in elderly patients in order to overcome current limitations. We establish a new non-invasive approach to predict exPH by assessing VCmax and valvular dysfunction for early risk stratification in elderly patients.

Highlights

  • Exercise pulmonary hypertension has been defined as total pulmonary resistance (TPR) >3 mm Hg/L/min and mean pulmonary artery pressure >30 mm Hg, albeit with a considerable risk of false positives in elderly patients with lower cardiac output during exercise

  • We present a combinatorial model with vital capacity (VCmax) and valvular dysfunction to predict Exercise pulmonary hypertension (exPH) based on our suggested criteria

  • Comparison of variables from exercise right heart catheterisation (exRHC) with the current ‘gold standard’ In order to define an alternative score for exPH we analysed the prevalence of currently used cut-off values during exercise and the currently suggested ‘gold standard’ exTPR>3 mm Hg/L/min and mean pulmonary artery pressure at peak exercise (exmPAP)>30 mm Hg 19 in our population (Table 2)

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Summary

Introduction

Exercise pulmonary hypertension (exPH) has been defined as total pulmonary resistance (TPR) >3 mm Hg/L/min and mean pulmonary artery pressure (mPAP) >30 mm Hg, albeit with a considerable risk of false positives in elderly patients with lower cardiac output during exercise. Results: Analysis of variables across the achieved peak power allowed the creation of a model for defining exPH, where three out of four criteria needed to be fulfilled: Peak power ≤100 Watt, pulmonary capillary wedge pressure ≥18 mm Hg, pulmonary vascular resistance >3 Wood Units, and mPAP ≥35 mm Hg. The new scoring model resulted in a lower number of exPH diagnoses than the current suggestion (63.1% vs 78.3%). We present a combinatorial model with vital capacity (VCmax) and valvular dysfunction to predict exPH (sensitivity 93.2%; specificity 44.2%, area under the curve 0.73) based on our suggested criteria. Conclusion: We advance a revised definition of exPH in elderly patients in order to overcome current limitations. We establish a new non-invasive approach to predict exPH by assessing VCmax and valvular dysfunction for early risk stratification in elderly patients. A low diffusion capacity of carbon monoxide (DLCO) was suggested to identify exPH patients with parenchymatous lung disease,[15] while failure of RV contractility increase during exercise may lead to RV-PA (pulmonary artery) uncoupling and exPH.[16]

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