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BACKGROUND: Endurance athletes (EA) are an emerging population of focus for cardiovascular health. The oxygen uptake efficiency plateau (OUEP) is the levelling-off period of ratio between oxygen uptake (VO2) and ventilation (VE). In the cohort of EA, we externally validated prediction models for OUEP and derived with internal validation a new equation. METHODS: 140 EA underwent a medical assessment and maximal cycling cardiopulmonary exercise test. Participants were 55% male (N = 77, age = 21.4 ± 4.8 years, BMI = 22.6 ± 1.7 kg·m- 2, peak VO2 = 4.40 ± 0.64 L·min- 1) and 45% female (N = 63, age = 23.4 ± 4.3 years, BMI = 22.1 ± 1.6 kg·m- 2, peak VO2 = 3.21 ± 0.48 L·min- 1). OUEP was defined as the highest 90-second continuous value of the ratio between VO2 and VE. We used the multivariable stepwise linear regression to develop a new prediction equation for OUEP. RESULTS: OUEP was 44.2 ± 4.2 mL·L- 1 and 41.0 ± 4.8 mL·L- 1 for males and females, respectively. In external validation, OUEP was comparable to directly measured and did not differ significantly. The prediction error for males was - 0.42 mL·L- 1 (0.94%, p = 0.39), and for females was + 0.33 mL·L- 1 (0.81%, p = 0.59). The developed new prediction equation was: 61.37-0.12·height (in cm) + 5.08 (for males). The developed model outperformed the previous. However, the equation explained up to 12.9% of the variance (R = 0.377, R2 = 0.129, RMSE = 4.39 mL·L- 1). CONCLUSION: OUEP is a stable and transferable cardiorespiratory index. OUEP is minimally affected by fitness level and demographic factors. The predicted OUEP provided promising but limited accuracy among EA. The derived new model is tailored for EA. OUEP could be used to stratify the cardiorespiratory response to exercise and guide training.
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Introduction: Fracture of the proximal femur is common in elderly patients, in fact threatening their lives. Age-related sarcopenia may be involved in the imbalance resulting in the injury. Handy and readily accessible biochemical tests would be useful to assess the musculoskeletal system condition in daily practice. The aim of the study was to determine whether there is any relation between muscle decay and fracture of the proximal femur and to assess bone quality in elderly patients. Material and methods: In the study 22 patients who represented the treatment group were hospitalized due to proximal femur fracture. Eighteen patients from the control group with no fracture in their history were admitted to the Internal Medicine Department. Anyone treated for osteoporosis, immune disease affecting protein balance, neoplasm, mental illness, heart failure, or myocardial infarction was excluded from the study. In every case a blood sample from an elbow vein was drawn, collected in EDTA-K2 tubes, and then centrifuged to separate plasma from the whole blood. Subsequently, the concentrations of C-terminal cross-linked telopeptide of type I collagen (CTX-I), sex hormone binding globulin (SHBG) and creatine kinase (CK) in plasma were determined using commercial enzyme-linked immunosorbent assays. Results: The CK plasma concentration differed between the patient groups (p = 0.011). The SHBG plasma concentration was significantly higher in the treatment group (p = 0.006), whereas a slight difference in CTX-I plasma concentration between the groups was found (p = 0.038). No significant correlations between plasma CK, SHBG or CTX-I were found (p > 0.05). Conclusions: Creatine kinase is actually not an appropriate marker for the clinical assessment of muscle tissue quality in patients with or at risk of proximal femur fracture. Analyzing the quality of bone tissue, we can conclude it was poorer in patients with proximal femur fracture than in the control group.
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Obesity has become one of the global epidemics, contributing to the burden of disease in society, increasing the risk of diabetes, cardiovascular and liver diseases. Inadequate energy balance resulting from excessive energy intake and insufficient physical activity (PA) is one of the main factors contributing to the incidence of obesity and the development of metabolic syndrome (MetS). Treatment options for obesity include lifestyle modifications, pharmacotherapy and bariatric surgery, with the latter being the most effective treatment. Lifestyle interventions involving increased PA and reduced caloric intake improve metabolic outcomes. Early implementation of exercise leads to improved physical fitness, better glycemic control and lipid profile. Undertaking systematic PA is associated with better quality of life, improves insulin sensitivity, causes additional weight loss, reduces its adverse effects on bone mass and results in better body composition. In this narrative review we summarized the current state of knowledge on the impact of PA on the components of MetS and the latest recommendations for PA in patients with MetS.
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Background: The ratio of oxygen uptake (VO2) to minute ventilation (VE) is described as the oxygen uptake efficiency slope (OUES). OUES has been suggested as a valuable submaximal cardiorespiratory index; however, its characteristics in endurance athletes remain unknown. In this study, we a) investigated OUES between different time intervals, b) assessed their prediction power for VO2peak, and c) derived new prediction equations for OUES tailored for well-trained individuals. Materials and Methods: A total of 77 male (age = 21.4 ± 4.8 yrs; BMI = 22.1 ± 1.6 kg·m-2; peak oxygen uptake = 4.40 ± 0.64 L·min-1) and 63 female individuals (age = 23.4 ± 4.3 yrs; BMI = 23.1 ± 1.6 kg·m-2; peak oxygen uptake = 3.21 ± 0.48 L·min-1) underwent the cycling cardiopulmonary exercise test. OUES was measured at 75%, 90%, and 100% of exercise duration. Prediction power and new models were derived with the multiple linear regression method. Results: In male subjects, OUES [mL·min-1/L·min-1] from 75% = 4.53 ± 0.90, from 90% = 4.52 ± 0.91, and from 100% = 4.41 ± 0.87. In female subjects, OUES [mL·min-1/L·min-1] from 75% = 3.50 ± 0.65, from 90% = 3.49 ± 0.62, and from 100% = 3.41 ± 0.58. OUES did not differ between time intervals in male (p = 0.65) and female individuals (p = 0.69). OUES strongly predicts peak VO2 independently from the measuring interval (ß = 0.71-0.80; R 2 = 0.50-0.63). The prediction model designed for elite athletes was OUES [mL·min-1/L·min-1] = -1.54 + 2.99; BSA [m2]-0.0014; (age [in years]; sex [1 = male, 2 = female]) (R 2 = 0.36). Conclusion: OUES enables an accurate prediction of peak cardiorespiratory fitness in elite endurance athletes. OUES is a feasible alternative to maximal exercise testing. A new prediction equation should be used for highly trained individuals. Physicians should understand OUES physiology to properly assess the cardiorespiratory response to exercise in athletic cohorts.
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BACKGROUND: Despite its benefits, oral anticoagulant (OAC) therapy in patients with atrial fibrillation (AF) is associated with hemorrhagic complications. AIMS: We aimed to evaluate clinical characteristics of AF patients at high risk of bleeding and the frequency of OAC use as well as identify factors that predict nonuse of OACs in these patients. METHODS: Consecutive AF patients hospitalized for urgent or planned reasons in cardiac centers were prospectively included in the registry in 2019. Patients with HAS-BLED ≥3 (high HAS-BLED group) were assumed to have a high risk of bleeding. RESULTS: Among 3598 patients enrolled in the study, 29.2% were at high risk of bleeding (44.7% female; median [Q1-Q3] age 72 [65-81], CHA2DS2-VASc score 5 [4-6], HAS-BLED 3 [3-4]). In this group, 14.5% of patients did not receive OACs, 68% received NOACs, and 17.5% VKAs. In multivariable analysis, the independent predictors of nonuse of oral OACs were as follows: creatinine level (odds ratio [OR], 1.441; 95% confidence interval [CI], 1.174-1.768; P <0.001), a history of gastrointestinal bleeding (OR, 2.918; 95% CI, 1.395-6.103; P = 0.004), malignant neoplasm (OR, 3.127; 95% CI, 1.332-7.343; P = 0.009), and a history of strokes or transient ischemic attacks (OR, 0.327; 95% CI, 0.166-0.642; P = 0.001). CONCLUSIONS: OACs were used much less frequently in the group with a high HAS-BLED score than in the group with a low score. Independent predictors of nonuse of OACs were creatinine levels, a history of gastrointestinal bleeding, and malignant neoplasms. A history of stroke or transient ischemic attack increased the chances of receiving therapy.
Subject(s)
Atrial Fibrillation , Stroke , Aged , Female , Humans , Male , Administration, Oral , Anticoagulants/adverse effects , Atrial Fibrillation/complications , Atrial Fibrillation/drug therapy , Creatinine , Gastrointestinal Hemorrhage/chemically induced , Gastrointestinal Hemorrhage/complications , Gastrointestinal Hemorrhage/drug therapy , Poland , Risk Factors , Stroke/drug therapy , Stroke/etiology , Stroke/prevention & control , Aged, 80 and overABSTRACT
Background: Ventilatory efficiency (VE/VCO2) is a strong predictor of cardiovascular diseases and defines individuals' responses to exercise. Its characteristics among endurance athletes (EA) remain understudied. In a cohort of EA, we aimed to (1) investigate the relationship between different methods of calculation of VE/VCO2 and (2) externally validate prediction equations for VE/VCO2. Methods: In total, 140 EA (55% males; age = 22.7 ± 4.6 yrs; BMI = 22.6 ± 1.7 kg·m-2; peak oxygen uptake = 3.86 ± 0.82 L·min-1) underwent an effort-limited cycling cardiopulmonary exercise test. VE/VCO2 was first calculated to ventilatory threshold (VE/VCO2-slope), as the lowest 30-s average (VE/VCO2-Nadir) and from whole exercises (VE/VCO2-Total). Twelve prediction equations for VE/VCO2-slope were externally validated. Results: VE/VCO2-slope was higher in females than males (27.7 ± 2.6 vs. 26.1 ± 2.0, p < 0.001). Measuring methods for VE/VCO2 differed significantly in males and females. VE/VCO2 increased in EA with age independently from its type or sex (ß = 0.066-0.127). Eleven equations underestimated VE/VCO2-slope (from -0.5 to -3.6). One equation overestimated VE/VCO2-slope (+0.2). Predicted and observed measurements differed significantly in nine models. Models explained a low amount of variance in the VE/VCO2-slope (R2 = 0.003-0.031). Conclusions: VE/VCO2-slope, VE/VCO2-Nadir, and VE/VCO2-Total were significantly different in EA. Prediction equations for the VE/VCO2-slope were inaccurate in EA. Physicians should be acknowledged to properly assess cardiorespiratory fitness in EA.
Subject(s)
Cardiovascular Diseases , Hyperuricemia , Humans , Hyperuricemia/complications , Hyperuricemia/diagnosis , Hyperuricemia/therapy , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Consensus , Risk Factors , Heart Disease Risk FactorsABSTRACT
Cardiovascular diseases (CVDs) are the leading causes of death worldwide. CVDs have become the dominant cause of death and have been a significant health challenge since the second half of the 20th century in the Polish population. The aim of our HDMI (hospital diet medical investigation) study was to examine the quality of the hospital diets given to cardiac patients and assess how much they adhere to the European Society of Cardiology (ESC) 2021 guidelines. By comparing the diets received by patients with the recommended dietary patterns outlined in the ESC 2021 guidelines, we sought to identify discrepancies. The study was conducted in two steps: creating a 7-day model menu and comparing it with the received diets and then making comparisons with ESC 2021 guidelines. Additionally, we designed a survey to obtain the characteristics of the hospitals. The results show that the nutrition in hospitals remains substandard. None of the diets had an appropriate salt supply or predominance of plant-based food patterns. Only 1/7 diets avoided sweetened beverages, and 2/7 diets had an appropriate amount of fiber. This underscores a gap in the healthcare system to improve patients' health by implementing dietary interventions that foster the development of healthy eating habits.
Subject(s)
Cardiology , Cardiovascular Diseases , Humans , Diet , Nutritional Status , Feeding Behavior , Diet, Healthy , Cardiovascular Diseases/prevention & controlABSTRACT
Having the appropriate tools to identify pancreas recipients most susceptible to coronary artery disease (CAD) is crucial for pretransplant cardiological assessment. The aim of this study is to evaluate the association between blood pressure (BP) indices provided by ambulatory blood pressure monitoring (ABPM) and the prevalence of CAD in pancreas transplant candidates with type 1 diabetes (T1D). This prospective cross-sectional study included adult T1D patients referred for pretransplant cardiological assessment in our center. The study population included 86 participants with a median age of 40 (35-46) years. In multivariate logistic regression analyses, after adjusting for potential confounding factors, higher 24 h BP (systolic BP/diastolic BP/pulse pressure) (OR = 1.063, 95% CI 1.023-1.105, p = 0.002/OR = 1.075, 95% CI 1.003-1.153, p = 0.042/OR = 1.091, 95 CI 1.037-1.147, p = 0.001, respectively) and higher daytime BP (systolic BP/diastolic BP/pulse pressure) (OR = 1.069, 95% CI 1.027-1.113, p = 0.001/OR = 1.077, 95% CI 1.002-1.157, p = 0.043/OR = 1.11, 95% CI 1.051-1.172, p = 0.0002, respectively) were independently and significantly associated with the prevalence of CAD. Daytime pulse pressure was the strongest indicator of the prevalence of CAD among all analyzed ABPM parameters. ABPM can be used as a valuable tool to identify pancreas recipients who are most susceptible to CAD. We suggest the inclusion of ABPM in pretransplant cardiac screening in type 1 diabetes patients eligible for pancreas transplantation.
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Respiratory diseases have been the fourth most common cause of death in Poland in recent years. Respiratory infection, especially pneumonia, can lead to exacerbation of chronic cardiovascular disease.Streptococcus pneumoniae is the most common bacterial pathogen causing community-acquired pneumonia. Pneumococci are also the most common pathogen complicating the course of infection with the influenza virus. Pneumonia, especially invasive pneumococcal disease, is associated with risk of death in the course of respiratory failure or sepsis and also with worsening of the prognosis for existing cardiovascular disease. Despite those facts, recommendations for pneumococcal vaccination are still not well established in cardiovascular guidelines. This expert opinion aims to summarize current knowledge on the importance of preventing invasive pneumococcal disease in cardiac patients.
Subject(s)
Cardiovascular Diseases , Pneumococcal Infections , Pneumonia , Humans , Poland , Expert Testimony , Vaccinology , Risk Factors , Pneumococcal Infections/prevention & control , Streptococcus pneumoniae , Heart Disease Risk Factors , VaccinationABSTRACT
BACKGROUND: Catheter ablation (CA) has become safe and efficient for the treatment of patients with ventricular extrasystolic beats (VEBs). The three-dimensional electroanatomic mapping (EAM) system allows the elimination of fluoroscopy time during CA procedures. Non-fluoroscopy CA is a challenging procedure requiring intimate knowledge of cardiac anatomy in patients with VEBs. The study aimed to evaluate the efficacy and safety of the non-fluoroscopy CA using the EAM system in patients with VEBs. METHODS: Completely fluoroless CA of VEBs guided by EAM was performed in 86% (94 out of 109) of consecutive patients with VEBs. The remaining 15 patients underwent conventional fluoroscopy-guided CA. Demographic and clinical baseline characteristics, procedure parameters, and following complications were obtained from the medical records. Primary outcomes were the acute procedural success rate, the permanent success rate (6-month follow-up), complications, and procedure time. RESULTS: There were no significant differences between groups regarding baseline characteristics. Acute procedural success was achieved in 85 patients (90%) in the non-fluoroscopy group and in 14 patients (93%) in the fluoroscopy group (ns). A long-term success rate was achieved in 82 patients (87%) in the non-fluoroscopy group and in 14 (82%) patients in the fluoroscopy group (ns). The median procedure time was 85 min in the non-fluoroscopy group and 120 min in the fluoroscopy group (p = 0.029). There was only one major complication in the non-fluoroscopy group (ns). CONCLUSIONS: Completely fluoroless CA of VEBs guided by EAM is a feasible, safe, and efficient procedure.
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Smoking and nicotine dependence are still one of the main reasons for a number of serious and life-shortening somatic diseases. At the same time, they are more prevalent in mentally ill individuals than in the general population. This work, which constitutes the first part of recommendations of the Polish Psychiatric Association, presents the scale of the phenomenon in the general population and among people with psychiatric disorders, diagnostic criteria of nicotine dependence and nicotine withdrawal. It discusses the impact of smoking and exposure to cigarette smoke on the development and course of psychiatric disorders as well as on the treatment of psychiatric disorders, including interactions between nicotine and psychotropic medications. Many psychiatric patients can reduce smoking or achieve complete abstinence if they are offered adequate motivation and therapeutic support. Contrary to popular belief, smoking cessation and nicotine dependence treatment do not negatively affect the symptoms of psychiatric disorders; patients' mental conditions can improve following smoking cessation therapy. The best results in terms of maintaining abstinence are achieved with a treatment approach that combines pharmacotherapy with psychotherapeutic intervention integrated into routine psychiatric care.
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The development of treatment methods for nicotine dependence has progressed slowly because people with psychiatric disorders are usually excluded from participating in clinical trials. There are several therapeutic options to support smoking cessation, including psychological and pharmacological interventions, which should be offered to smokers with mental disorders. The first step in helping tobacco smokers and nicotine-dependent individuals is the assessment of smoking intensity and confirmation of nicotine dependence. Currently, we have several methods of treating nicotine dependence - starting from education and psychotherapy, through pharmacotherapy and replacement therapy, and ending up with obtaining gradual progress with the application of harm reduction. Pharmacological treatment options include nicotine replacement therapy, varenicline or bupropion. The effectiveness of such interventions can be improved by providing anti-smoking therapy under psychiatric treatment and promoting harm reduction as an acceptable initial therapeutic goal. The harm reduction strategy is an approach that should be taken into account individually, particularly in the case of individuals unable to stop smoking, patients with limited insight into their illness, patients experiencing an exacerbation of their illness and persistently uncooperative patients. In this paper, recommendations of the Polish Psychiatric Association on the diagnostics and different treatment methods for nicotine dependence in patients with psychiatric disorders are presented.
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Heart failure (HF) remains one of the most common causes of hospitalization and mortality among Polish patients. The position of the Section of Cardiovascular Pharmacotherapy presents the currently applicable options for pharmacological treatment of HF based on the latest European and American guidelines from 2021-2022 in relation to Polish healthcare conditions. Treatment of HF varies depending on its clinical presentation (acute/chronic) or left ventricular ejection fraction. Initial treatment of symptomatic patients with features of volume overload is based on diuretics, especially loop drugs. Treatment aimed at reducing mortality and hospitalization should include drugs blocking the renin-angiotensin-aldosterone system, preferably angiotensin receptor antagonist/neprilysin inhibitor, i.e. sacubitril/valsartan, selected beta-blockers (no class effect - options include bisoprolol, metoprolol succinate, or vasodilatory beta-blockers - carvedilol and nebivolol), mineralocorticoid receptor antagonist, and sodium-glucose cotransporter type 2 inhibitor (flozin), constituting the 4 pillars of pharmacotherapy. Their effectiveness has been confirmed in numerous prospective randomized trials. The current HF treatment strategy is based on the fastest possible implementation of all four mentioned classes of drugs due to their independent additive action. It is also important to individualize therapy according to comorbidities, blood pressure, resting heart rate, or the presence of arrhythmias. This article emphasizes the cardio- and nephroprotective role of flozins in HF therapy, regardless of ejection fraction value. We propose practical guidelines for the use of medicines, profile of adverse reactions, drug interactions, as well as pharmacoeconomic aspects. The principles of treatment with ivabradine, digoxin, vericiguat, iron supplementation, or antiplatelet and anticoagulant therapy are also discussed, along with recent novel drugs including omecamtiv mecarbil, tolvaptan, or coenzyme Q10 as well as progress in the prevention and treatment of hyperkalemia. Based on the latest recommendations, treatment regimens for different types of HF are discussed.
Subject(s)
Expert Testimony , Heart Failure , Humans , United States , Stroke Volume/physiology , Poland , Prospective Studies , Ventricular Function, Left , Valsartan/therapeutic use , Drug Combinations , Angiotensin Receptor Antagonists/therapeutic use , Aminobutyrates/therapeutic useABSTRACT
Maximal heart rate (HRmax) is a widely used measure of cardiorespiratory fitness. Prediction of HRmax is an alternative to cardiopulmonary exercise testing (CPET), but its accuracy among endurance athletes (EA) requires evaluation. This study aimed to externally validate HRmax prediction models in the EA independently for running and cycling CPET. A total of 4043 runners (age = 33.6 (8.1) years; 83.5% males; BMI = 23.7 (2.5) kg·m-2) and 1026 cyclists (age = 36.9 (9.0) years; 89.7% males; BMI = 24.0 (2.7) kg·m-2) underwent maximum CPET. Student t-test, mean absolute percentage error (MAPE), and root mean square error (RMSE) were applied to validate eight running and five cycling HRmax equations externally. HRmax was 184.6 (9.8) beats·min-1 and 182.7 (10.3) beats·min-1, respectively, for running and cycling, p = 0.001. Measured and predicted HRmax differed significantly (p = 0.001) for 9 of 13 (69.2%) models. HRmax was overestimated by eight (61.5%) and underestimated by five (38.5%) formulae. Overestimated HRmax amounted to 4.9 beats·min-1 and underestimated HRmax was in the range up to 4.9 beats·min-1. RMSE was 9.1-10.5. MAPE ranged to 4.7%. Prediction models allow for limited precision of HRmax estimation and present inaccuracies. HRmax was more often underestimated than overestimated. Predicted HRmax can be implemented for EA as a supplemental method, but CPET is the preferable method.
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COVID-19 has a deteriorating impact on health which is especially important for endurance athletes (EAs) who need to maintain continuity of training. The illness affects sleep and psychology, which influence sport performance. The aims of this study were: (1) to assess the consequences of mild COVID-19 on sleep and psychology and (2) to assess the consequences of mild COVID-19 on cardiopulmonary exercise test (CPET) results. A total of 49 EAs (males = 43, 87.76%; females = 6, 12.24%; age = 39.9 ± 7.8 years; height = 178.4 ± 6.8 cm; weight = 76.3 ± 10.4 kg; BMI = 24.0 ± 2.6 kg·m-2) underwent a maximal cycling or running CPET pre- and post-COVID-19 and completed an original survey. Exercise performance deteriorated after COVID-19 (maximal oxygen uptake, VO2max = 47.81 ± 7.81 vs. 44.97 ± 7.00 mL·kg·min-1 pre- and post-infection, respectively; p < 0.001). Waking up at night affected the heart rate (HR) at the respiratory compensation point (RCP) (p = 0.028). Sleep time influenced pulmonary ventilation (p = 0.013), breathing frequency (p = 0.010), and blood lactate concentration (Lac) (p = 0.013) at the RCP. The maximal power/speed (p = 0.046) and HR (p = 0.070) were linked to the quality of sleep. Stress management and relaxation techniques were linked with VO2max (p = 0.046), maximal power/speed (p = 0.033), and maximal Lac (p = 0.045). Cardiorespiratory fitness deteriorated after mild COVID-19 and was correlated with sleep and psychological indices. Medical professionals should encourage EAs to maintain proper mental health and sleep after COVID-19 infection to facilitate recovery.
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The diagnosis of metabolic associated fatty liver disease (MAFLD) is significant for patients' prognosis, as the disease accelerates the development of cardiovascular complications and, on the other hand, cardiometabolic conditions are risk factors for the development of fatty liver diseases. This expert opinion presents principles of MAFLD diagnosis and standards of management to reduce cardiovascular risks in patients with MAFLD.
Subject(s)
Cardiovascular Diseases , Liver Diseases , Humans , Expert Testimony , Cardiovascular Diseases/etiology , Cardiovascular Diseases/prevention & control , Poland , Risk Factors , Heart Disease Risk FactorsABSTRACT
In recent years, numerous prognostic models have been developed to predict VO2max. Nevertheless, their accuracy in endurance athletes (EA) stays mostly unvalidated. This study aimed to compare predicted VO2max (pVO2max) with directly measured VO2max by assessing the transferability of the currently available prediction models based on their R2, calibration-in-the-large, and calibration slope. 5,260 healthy adult EA underwent a maximal exertion cardiopulmonary exercise test (CPET) (84.76% male; age 34.6±9.5 yrs.; VO2max 52.97±7.39 mL·min-1·kg-1, BMI 23.59±2.73 kg·m-2). 13 models have been selected to establish pVO2max. Participants were classified into four endurance subgroups (high-, recreational-, low- trained, and "transition") and four age subgroups (18-30, 31-45, 46-60, and ≥61 yrs.). Validation was performed according to TRIPOD guidelines. pVO2max was low-to-moderately associated with direct CPET measurements (p>0.05). Models with the highest accuracy were for males on a cycle ergometer (CE) (Kokkinos R2 = 0.64), females on CE (Kokkinos R2 = 0.65), males on a treadmill (TE) (Wasserman R2 = 0.26), females on TE (Wasserman R2 = 0.30). However, selected models underestimated pVO2max for younger and higher trained EA and overestimated for older and lower trained EA. All equations demonstrated merely moderate accuracy and should only be used as a supplemental method for physicians to estimate CRF in EA. It is necessary to derive new models on EA populations to include routinely in clinical practice and sports diagnostic.
Subject(s)
Oxygen Consumption , Sports , Adult , Female , Humans , Male , Middle Aged , Exercise Test/methods , Athletes , Nutritional StatusABSTRACT
COVID-19 and imposed restrictions are linked with numerous health consequences, especially among endurance athletes (EA). Unfavorable changes in physical activity and nutrition may affect later sports and competition performance. The aims of this study were: (1) to assess the impact of COVID-19 infection and pandemic restrictions on the nutrition and physical activity of EAs and (2) to compare them with the results of cardiopulmonary exercise testing (CPET). In total, 49 EAs (nmale = 43, nfemale = 6, mean age = 39.9 ± 7.8 year., height = 178.4 ± 6.8 cm, weight = 76.3 ± 10.4 kg; BMI = 24.0 ± 2.6 kg·m−2) underwent pre- and post-COVID-19 CPET and fulfilled the dietary and physical activity survey. COVID-19 infection significantly deteriorated CPET performance. There was a reduction in oxygen uptake and in heart rate post-COVID-19 (both p < 0.001). Consuming processed meat and replacing meat with plant-based protein affected blood lactate concentration (p = 0.035). Fat-free mass was linked with consuming unsaturated fatty acids (p = 0.031). Adding salt to meals influenced maximal speed/power (p = 0.024) and breathing frequency (p = 0.033). Dietary and Fitness Practitioners and Medical Professionals should be aware of possible COVID-19 infection and pandemic consequences among EA. The results of this study are a helpful guideline to properly adjust the treatment, nutrition, and training of EA.
Subject(s)
COVID-19 , Physical Endurance , Humans , Adult , Middle Aged , Physical Endurance/physiology , Exercise/physiology , Nutritional Status , AthletesABSTRACT
Background: Properly performed training is a matter of importance for endurance athletes (EA). It allows for achieving better results and safer participation. Recently, the development of machine learning methods has been observed in sports diagnostics. Velocity at anaerobic threshold (VAT), respiratory compensation point (VRCP), and maximal velocity (Vmax) are the variables closely corresponding to endurance performance. The primary aims of this study were to find the strongest predictors of VAT, VRCP, Vmax, to derive and internally validate prediction models for males (1) and females (2) under TRIPOD guidelines, and to assess their machine learning accuracy. Materials and Methods: A total of 4001 EA (nmales = 3300, nfemales = 671; age = 35.56 ± 8.12 years; BMI = 23.66 ± 2.58 kg·m-2; VO2max = 53.20 ± 7.17 mL·min-1·kg-1) underwent treadmill cardiopulmonary exercise testing (CPET) and bioimpedance body composition analysis. XGBoost was used to select running performance predictors. Multivariable linear regression was applied to build prediction models. Ten-fold cross-validation was incorporated for accuracy evaluation during internal validation. Results: Oxygen uptake, blood lactate, pulmonary ventilation, and somatic parameters (BMI, age, and body fat percentage) showed the highest impact on velocity. For VAT R2 = 0.57 (1) and 0.62 (2), derivation RMSE = 0.909 (1); 0.828 (2), validation RMSE = 0.913 (1); 0.838 (2), derivation MAE = 0.708 (1); 0.657 (2), and validation MAE = 0.710 (1); 0.665 (2). For VRCP R2 = 0.62 (1) and 0.67 (2), derivation RMSE = 1.066 (1) and 0.964 (2), validation RMSE = 1.070 (1) and 0.978 (2), derivation MAE = 0.832 (1) and 0.752 (2), validation MAE = 0.060 (1) and 0.763 (2). For Vmax R2 = 0.57 (1) and 0.65 (2), derivation RMSE = 1.202 (1) and 1.095 (2), validation RMSE = 1.205 (1) and 1.111 (2), derivation MAE = 0.943 (1) and 0.861 (2), and validation MAE = 0.944 (1) and 0.881 (2). Conclusions: The use of machine-learning methods allows for the precise determination of predictors of both submaximal and maximal running performance. Prediction models based on selected variables are characterized by high precision and high repeatability. The results can be used to personalize training and adjust the optimal therapeutic protocol in clinical settings, with a target population of EA.