E. Kleinhendler, Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
A. Pinkhasov, S. Hayek, A. Man, O. Freund, T. M. Perluk, et al.

Expert Rev Respir Med 2025 Pages 1-8

BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET results.
RESEARCH DESIGN AND METHODS: This cross-sectional study included 150 patients who underwent CPET. Two expert pulmonologists categorized the results as normal or abnormal (cardiovascular, pulmonary, or other exercise limitations), being the gold standard. GPT versions 3.5 (GPT-3.5) and 4 (GPT-4) analyzed the same data using pre-defined structured inputs.
RESULTS: GPT-3.5 correctly interpreted 67% of the cases. It achieved a sensitivity of 75% and specificity of 98% in identifying normal CPET results. GPT-3.5 had varying results for abnormal CPET tests, depending on the limiting etiology. In contrast, GPT-4 demonstrated improvements in interpreting abnormal tests, with sensitivities of 83% and 92% for respiratory and cardiovascular limitations, respectively. Combining the normal CPET interpretations by both AI models resulted in 91% sensitivity and 98% specificity. Low work rate and peak oxygen consumption were independent predictors for inaccurate interpretations.
CONCLUSIONS: Both GPT-3.5 and GPT-4 succeeded in ruling out abnormal CPET results. This tool could be utilized to differentiate between normal and abnormal results.

Zamodics M, Heart and Vascular Center, Faculty of Medicine, Semmelweis University, Budapest, Hungary
Babity M, Schay G, Leel-Ossy T, Bucsko-Varga A, Kulcsar P, Benko R, Boroncsok D, Fabian A, Ujvari , Ladanyi Z, Balla D, Vago H, Kovacs A, Hosszu E, Meszaros S, Horvath C, Merkely B, Kiss O:

Sports (Basel). 2025 Feb 10;13(2):51

AIMS
Body composition and cardiopulmonary exercise testing (CPET) are vital for optimizing sports performance, but the correlations between them are still underexplored. Our study aimed to investigate the relationships between body composition and specific CPET variables describing physical fitness in young athletes, also adjusting for age and height, in a less-studied, female population.
METHODS
Seventy players participated in our study (age: 16.10 ± 1.63 y). After determining body composition using dual-energy X-ray absorptiometry, we conducted treadmill-based maximal-intensity CPET. Data were analyzed in R using multivariate linear regression, accounting for age and height as confounders.
FINDINGS
Lean body mass (LBM), body fat mass (BFM), and bone mineral content (BMC) showed no effect on resting, maximum, or recovery heart rates and no correlation with resting or maximal lactate values. LBM positively correlated with maximum ventilation (VE-max) (Est: 1.3 × 10-3; SE: 6.1 × 10-4; p < 0.05) and maximum absolute oxygen consumption (VO2abs-max) (Est: 7.710-5; SE: 6.9 × 10-6; p < 0.001)-with age as an influencing factor for VE-max and height as an influencing factor for VO2abs-max. Conversely, BFM showed a negative correlation with maximum relative oxygen consumption (VO2rel-max) (Est: -4.8 × 10-4; SE: 1.2 × 10-4; p < 0.001). Moreover, BFM and BMC were also negatively correlated with maximal exercise duration (Est: -2.2 × 10-4; SE: 8.0 × 10-5; p < 0.01; Est: -3.2 × 10-3; SE: 1.4 × 10-3; p < 0.05) with height as an influencing factor.
CONCLUSION
Our findings indicate complex correlations between body composition and CPET parameters, providing important information for the analysis of individual ergospirometric data. Our results draw attention to the fact that body composition is more precise than weight and height in the evaluation of athletes’ physical fitness.

Tarras, Elizabeth S; Yale University School of Medicine, New Haven, CT 06511, USA.
Singh, Inderjit;Kreiger, Joan;Joseph, Phillip

Journal of clinical medicine,2025 Jan 26

ABSTRACT Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the pulmonary vasculature that is associated with pulmonary vascular remodeling and right heart failure. While there have been recent advances both in understanding pathobiology and in diagnosis and therapeutic options, PAH remains a disease with significant delays in diagnosis and high morbidity and mortality. Information from invasive cardiopulmonary exercise testing (iCPET) presents an important opportunity to evaluate the dynamic interactions within and between the right heart circulatory system and the skeletal muscle during different loading conditions to enhance early diagnosis, phenotype disease subtypes, and personalize treatment in PAH given the shortcomings of contemporary diagnostic and therapeutic approaches. The purpose of this review is to present the current applications of iCPET in PAH and to discuss future applications of the testing methodology.

Markus, MRP; German Centre for Cardiovascular Research  University Medicine Greifswald,
Weiss, Frank-Ulrich;Hertel, Johannes;Weiss, Stefan;+14 more

Scientific reports,2025 Feb 12

ABSTRACT Sedentarism is characterized by low levels of physical activity, a risk factor for obesity and cardio-metabolic diseases. It can also adversely affect the composition and diversity of the gut microbiome which may result in harmful consequences for human health. While cardiorespiratory fitness (CRF) is inversely and independently associated with cardiovascular risk factors and diseases and all-cause mortality, the relationship between low CRF and the gut microbiome is not well known. A total of 3,616 individuals from two independent population-based cohorts of the Study of Health in Pomerania (SHIP-START and SHIP-TREND) performed standardized, symptom-limited cardiopulmonary exercise testing (CPET) and had faecal samples collected to determine gut microbiota profiles (16S rRNA gene sequencing). We analysed cross-sectional associations of CRF with the gut microbiome composition controlling for confounding factors. Lower CRF was associated with reduced microbial diversity, loss of beneficial short-chain fatty acid producing bacteria (i.e. Butyricoccus, Coprococcus, unclassified Ruminococcaceae or Lachnospiraceae) and an increase in opportunistic pathogens such as Escherichia/Shigella, or Citrobacter. Decreased cardiorespiratory performance was associated with a gut microbiota pattern that has been previously related to a proinflammatory state. These associations were independent of body weight or glycemic control.

Cifra B; Cordina RL; Gauthier N; Murphy LC; Pham TD; Veldtman GR; Ward K; White DA; Paridon SM; Powell AW 

Journal of the American Heart Association [J Am Heart Assoc] 2025 Feb 18; Vol. 14 (4), pp. e038200.
Date of Electronic Publication: 2025 Jan 09.

• Survivorship from congenital heart disease has improved rapidly secondary to advances in surgical and medical management. Because these patients are living longer, treatment and disease surveillance targets have shifted toward enhancing quality of life and functional status. Cardiopulmonary exercise testing is a valuable tool for assessing functional capacity, evaluating cardiac and pulmonary pathology, and providing guidance on prognosis and interventional recommendations. Despite the extensive evidence supporting the ability of cardiopulmonary exercise testing to quantitatively evaluate cardiovascular function, there remains confusion on how to properly interpret cardiopulmonary exercise testing in patients with congenital heart disease. The purpose of this statement is to provide a lifespan approach to the interpretation of cardiopulmonary exercise testing in patients with congenital heart disease. This is an updated report of the American Heart Association’s previous publications on exercise in children. This evidence-based update on the significance of cardiopulmonary exercise testing findings in pediatric, adolescent, and adult patients with various congenital cardiac pathologies and surgically modified physiology is formatted in a way to guide cardiopulmonary exercise testing interpretation practically for the clinicians and exercise physiologists who care for patients with congenital heart disease. Focus is placed on the indications for exercise testing, expected findings, and how exercise testing should guide the management of patients with various congenital heart disease subtypes. Areas for future intervention that could lead to improved care and outcomes for those with congenital heart disease are noted.

Comments

• Erratum in: J Am Heart Assoc. 2025 Feb 14:e10680. doi: 10.1161/JAHA.124.034848.. (PMID: 39950537)

Willixhofer, Robin;Ermolaev, Nikita;Kronberger, Christina;Eslami, Mahshid; et al

Circulation reports,2025 Jan 21

• Background: This study assessed the prognostic value of submaximal cardiopulmonary exercise testing (CPET) in cardiac amyloidosis and explored CPET as an alternative to the 6-min walk test (6MWT).
• Methods and Results: In this single-center prospective observational study, 160 patients with cardiac amyloidosis (87% male; mean age 78±7 years) were evaluated. A total of 145 performed maximum symptom limited CPET. The V̇E/V̇CO ₂ slope was 39±8, submaximal power output (SPO) was 24.75±11.50 W, and V̇O ₂ at anaerobic threshold (AT) was 8.13±2.29 mL/min/kg. During follow up, 34 (21.25%) patients died, and another 34 (21.25%) experienced heart failure (HF)-related hospitalization, with 15 (9.38%) patients experiencing both events. Univariate analysis showed that V̇E/V̇CO ₂ slope (hazard ratio [HR] 0.89; 95% confidence interval [CI] 0.86-0.93; P<0.001) and SPO (HR 0.91; 95% CI 0.87-0.96; P<0.001) were predictors of mortality. In multivariate analysis, V̇E/V̇CO ₂ slope remained a significant predictor (HR 0.92; 95% CI 0.88-0.97; P<0.001) for both all-cause mortality and HF-related hospitalization independently. A SPO cut-off of <28 W predicted a worse outcome for both measures independently. Moderate correlations for V̇E/V̇CO ₂ slope (-0.56 [CI -0.67, -0.42]) and SPO (0.55 [CI 0.42, 0.67]) with 6MWT distance have been found.
• Conclusions: These findings highlight CPET parameters, particularly V̇E/V̇CO ₂ slope and SPO with a cut-off <28 W, as predictors of survival and HF-related hospitalization in cardiac amyloidosis.
• Competing Interests: R.B.E. received a research grant from AstraZeneca Austria. R.W. and N.E. have been reimbursed by Pfizer Austria for attending several conferences.

Santana,  J; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.;
Kim, D; Christle, J, et al

European journal of preventive cardiology,2025 Feb 07

• Aims: Cardiorespiratory fitness (CRF), measured by peak oxygen uptake (VO2peak), is a strong predictor of mortality. Despite its widespread clinical use, current reference equations for VO2peak show distorted calibration in obese individuals. Using data from the Fitness Registry and the Importance of Exercise National Database (FRIEND), we sought to develop novel reference equations for VO2peak better calibrated for overweight/obese individuals – in both males and females, by considering body composition metrics.
• Methods: Graded treadmill tests from 6,836 apparently healthy individuals were considered in data analysis. We used the National Health and Nutrition Examination Survey equations to estimate lean body mass (eLBM) and body fat percentage (eBF). Multivariable regression was used to determine sex-specific equations for predicting VO2peak considering age terms, eLBM and eBF.
• Results: The resultant equations were expressed as VO2peak (male) = 2633.4 + 48.7✕eLBM (kg) – 63.6✕eBF (%) – 0.23✕Age2 (R2=0.44) and VO2peak (female) = 1174.9 + 49.4✕eLBM (kg) – 21.7✕eBF (%) – 0.158✕Age2 (R2=0.53). These equations were well-calibrated in subgroups based on sex, age and body mass index (BMI), in contrast to the Wasserman equation. In addition, residuals for the percent-predicted VO2peak (ppVO2) were stable over the predicted VO2peak range, with low CRF defined as < 70% ppVO2 and average CRF defined between 85-115%.
• Conclusions: The derived VO2peak reference equations provided physiologically explainable and were well-calibrated across the spectrum of age, sex and BMI. These equations will yield more accurate VO2peak evaluation, particularly in obese individuals.