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Reddy, Satyajit

0000-0002-2626-4165

Mayo Clinic

Department of Cardiovascular Medicine, Mayo Clinic Arizona, Scottsdale, Arizona, USA Reddy.Satyajit@mayo.edu.

Citations 2

Overtraining Syndrome (OTS) in Three Endurance Athletes and Roads to Recovery
Kreher, Jeffrey B. , Amrine, Robert, Reddy, Satyajit , Stepánek, Jan , Reddy, Satyajit , Stepánek, Jan , Amrine, Robert

BMJ Case Reports | July 8, 2025 | Volume: 18 | Issue: 7 | Pages: e265066

10.1136/bcr-2025-265066 Get It

Overtraining syndrome (OTS) is a significant medical condition observed predominantly in endurance athletes and characterised by a decline in performance and disruptions in multiple physiological functions. Given the increasing popularity of endurance training and the complex nature of OTS diagnosis, there is a compelling need for comprehensive case studies. The case series summarises one professional runner, one competitive runner and one recreational runner who were diagnosed with OTS. Key parameters observed include symptoms, diagnostic journey, recovery initiatives and return-to-sport outcomes. All three athletes showed typical OTS manifestations, including impaired performance and multisystem dysfunction (ie, endocrine, nervous, immune and gastrointestinal systems). Following a mandated cessation from training, active recovery strategies were instituted. Two of the three athletes successfully returned to competition. Specific recovery patterns and potential relapse indicators were also identified. The comprehensive examination of the cases underscores the complex nature of OTS diagnosis, its multifaceted symptoms and the critical importance of structured recovery. The case series elucidates the importance of heightened awareness and early intervention to diagnose and manage OTS. In addition, we propose an anecdotal Return to Running Protocol individualised to the athlete’s response.
Key Resting Echocardiographic Parameters for the Estimation of Exercise Parameters of Peak VO2, Heart Rate Recovery, and Ventilatory Efficiency
Chaliki, Kalyan , Sharma, Arundhati , Yee, Claire , Chaliki, Hari P. , Reddy, Satyajit , Sharma, Anubhuti , Yee, Claire , Chaliki, Hari, Reddy, Satyajit

Journal of Clinical Medicine | April 28, 2025 | Volume: 14 | Issue: 9 | Pages: 3013

10.3390/jcm14093013 Get It

Background/Objectives: The peak oxygen consumption (VO2) during cardiopulmonary exercise testing (CPET) is a strong predictor of all-cause mortality. The cardiac output, a key determinant of VO2, can be assessed using resting echocardiographic parameters. The heart rate recovery and ventilatory efficiency (VE/VCO2 slope) from CPET offer additional insights into cardiovascular fitness. Methods: This study aimed to identify resting echocardiographic parameters that predict the percentage of predicted peak VO2, heart rate recovery, and VE/VCO2 slope in a general cardiology population. This retrospective analysis included 1909 patients who underwent echocardiography within 3 months of CPET from 2017 to 2022. Patients with potentially confounding co-morbid conditions were removed. Spearman correlations were used to compare 19 echocardiographic parameters to peak VO2, heart rate recovery, and the VE/VCO2 slope, followed by multiple linear regression of peak VO2. Results: Eleven echocardiographic parameters correlated with peak VO2, with the strongest correlations seen with the left ventricular stroke volume index (R = 0.284, p < 0.001), mitral valve medial annular a’ wave velocity (R = 0.142, p < 0.0001), and mitral E-to-e’ ratio (R = −0.117, p < 0.0001). The left ventricular diastolic parameters and mitral E/A ratio correlated strongly with the heart rate recovery and VE/VCO2 slope. The multiple linear regression analysis identified the left ventricular mass index, stroke volume index, mitral valve E wave velocity, tricuspid valve regurgitation peak systolic velocity, tricuspid lateral annular systolic velocity S’, and left atrial volume index as independent predictors of peak VO2 (R2 = 0.191). Conclusions: The left ventricular stroke volume, diastolic function, and RV systolic function markers are significant predictors of cardiopulmonary fitness, aiding clinical decision-making in patients without CPET data.