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Cundrle, Ivan

0000-0002-7709-8021

Mayo Clinic

Faculty of Medicine, Masaryk University, Brno, Czech Republic Ivan.Cundrle@seznam.cz.

Citations 3

Cardiopulmonary exercise testing before lung resection surgery: still indicated? Evaluating predictive utility using machine learning
Filakovszky, Ákos , Tschoellitsch, Thomas , Bartos, Stepan, Mazur, Andrej, Meier, Jens , Olson, Lyle J. , Olson, Lyle, Cundrle, Ivan , Brat, Kristián , Mazur, Andrej, Čundrle, Ivan

Thorax | October 3, 2025 | Volume: 81 | Issue: 5 | Pages: 474-482

10.1136/thorax-2024-221485 Get It

Rationale Despite significant advances in patient care and outcomes, criteria for cardiopulmonary exercise testing (CPET) in risk stratification guidelines for lung resection have not been updated in over a decade. We hypothesised that CPET no longer holds additional predictive value for postoperative complications. Methods In this secondary analysis, we included lung resection candidates from two prospective, multicentre studies eligible for CPET and assessed with preoperative pulmonary function tests (PFTs) and arterial blood gas analysis. Postoperative pulmonary (PPCs) and cardiovascular complications (PCCs) were documented during hospitalisation. We trained five types of machine learning models applying nested cross-validation to predict complications and compared predictive performance based on four metrics, including area under the receiver operating characteristic curve (AUC-ROC). Results A total of 497 patients were included. PPCs developed in 71 (14%) patients. Adding CPET parameters to PFTs and baseline clinical data did not improve the ability of models to predict PPCs in unselected patients (AUC-ROC=0.72–0.78; p=0.47), nor in those meeting American College of Chest Physicians (ACCPs) (n=236; AUC-ROC=0.64–0.78; p=0.70) or European Respiratory Society/European Society of Thoracic Surgery (ERS/ESTS) criteria (n=168; AUC-ROC=0.59–0.76; p=0.92). PCCs developed in 90 (18%) patients. CPET parameters likewise did not improve model performance for the prediction of PCCs in unselected patients (AUC-ROC=0.65–0.73; p=0.96), nor in the ACCP (AUC-ROC=0.61–0.73; p=0.82) or ERS/ESTS subgroups (AUC-ROC=0.62–0.69; p=0.87). Conclusions In contemporary surgical practice, CPET did not improve the predictive performance of machine learning models for PPCs or PCCs in patients with an indication based on established guidelines or in those without. The role of CPET in preoperative risk stratification for lung resection should be re-evaluated. Trial registration number NCT03498352 , NCT04826575 .
Poor ventilatory efficiency during exercise may predict prolonged air leak after pulmonary lobectomy
Chobola, Miloš, Homolka, Pavel, Heroutová, Michaela , Benej, Michal, Mitáš, Ladislav , Olson, Lyle J. , Čundrle, Ivan , Brat, Kristián , Cundrle, Ivan

Interactive CardioVascular and Thoracic Surgery | October 1, 2019 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/icvts/ivz255 Get It

Abstract Poor ventilatory efficiency, defined as the increase in minute ventilation relative to carbon dioxide production during exercise (VE/VCO2 slope), may be associated with dynamic hyperinflation and thereby promote the development of prolonged air leak (PAL) after lung resection. Consecutive lung lobectomy candidates (n = 96) were recruited for this prospective two-centre study. All subjects underwent pulmonary function tests and cardiopulmonary exercise testing prior to surgery. PAL was defined as the presence of air leaks from the chest tube on the 5th postoperative day and developed in 28 (29%) subjects. Subjects with PAL were not different in terms of age, sex, American Society of Anesthesiologists class, type of surgery (thoracotomy/video-assisted thoracoscopic surgery) and site of surgery (right/left lung; upper/lower lobes). Subjects with PAL had more frequent pleural adhesions (50% vs 21%; P = 0.006) and steeper VE/VCO2 slope (35 ± 7 vs 30 ± 5; P = 0.001). Stepwise logistic regression showed that only the presence of pleural adhesions [odds ratio (OR) 3.9, 95% confidence interval (CI) 1.4–10.9; P = 0.008] and VE/VCO2 slope (OR 1.1, 95% CI 1.0–1.2; P = 0.003) were independently associated with PAL (AUC 0.74, 95% CI 0.62–0.86). We conclude that a high VE/VCO2 slope during exercise may be helpful in identifying patients at greater risk for the development of PAL after lung lobectomy. Clinical trial registration number: ClinicalTrials.gov identifier: NCT03498352.
Low leptin concentration may identify heart failure patients with central sleep apnea
Čundrle, Ivan , Singh, Prachi , Johnson, Bruce D. , Olson, Lyle J. , Olson, Lyle J , Somers, Virend K. , Scott, Christopher G. , Singh, Prachi , Cundrle, Ivan

Journal of Sleep Research | June 23, 2017 | Volume: 27 | Issue: 2 | Pages: 240-243

10.1111/jsr.12574 Get It

SummaryLow leptin concentration has been shown to be associated with central sleep apnea in heart failure patients. We hypothesized that low leptin concentration predicts central sleep apnea. Consecutive ambulatory New York Heart Association (NYHA) classes I–IV heart failure patients were studied prospectively, including measurement of serum leptin, echocardiography and polysomnography. Sleep apnea was defined by type (central/mixed/obstructive) and by apnea–hypopnea index ≥5 by polysomnography. Subjects were divided into four groups by polysomnography: (1) central sleep apnea, (2) mixed apnea, (3) no apnea and (4) obstructive sleep apnea. Fifty‐six subjects were included. Eighteen subjects were diagnosed with central sleep apnea, 15 with mixed apnea, 12 with obstructive apnea and 11 with no sleep apnea. Leptin concentration was significantly lower in central sleep apnea compared to obstructive apnea (8 ± 10.7 ng mL−1 versus 19.7 ± 14.7 ng mL−1, P ˂ 0.01) or no sleep apnea (8 ± 10.7 ng mL−1 versus 17.1 ± 8.4 ng mL−1, P ˂ 0.01). Logistic regression showed leptin to be associated independently with central sleep apnea [odds ratio (OR): 0.19; 95% confidence interval (CI): 0.06–0.62; area under the curve (AUC): 0.80, P < 0.01]. For the detection of central sleep apnea, a cut‐off value for leptin concentration 5 ng mL−1 yielded a sensitivity of 50% and specificity of 89%. In conclusion, a low leptin concentration may have utility for the screening of heart failure patients for central sleep apnea.