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BACKGROUND: The most frequent body composition alterations in post-COVID-19 syndrome include low muscle mass, dynapenia, sarcopenia, and obesity. These conditions share interconnected pathophysiological mechanisms that exacerbate each other. The relationship between body composition phenotypes and metabolic abnormalities in post-COVID-19 syndrome remains unclear. OBJECTIVE: To evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome. METHODS: A cross-sectional, single-center study involving 483 subjects with post-COVID-19 syndrome following moderate to severe acute COVID-19 requiring hospitalization. Individuals with diabetes, those who declined to participate, or those who could not be contacted were excluded. Body composition phenotypes were classified as normal weight, dynapenia, sarcopenia, dynapenic obesity, and sarcopenic obesity (SO). RESULTS: The average age was 52.69 ± 14.75 years; of note, 67.08% were male. The prevalence of body composition phenotypes was as follows: 13.25% were of normal weight, 9.52% had dynapenia, 9.94% had sarcopenia, 43.69% had obesity, 18.84% had dynapenic obesity, and 4.76% had SO. Additionally, 58.18% had IR. Obesity (OR: 2.98, CI95%; 1.64-5.41) and dynapenic obesity (OR: 4.98, CI95%; 1.46-6.88) were associated with IR. CONCLUSION: The most common body composition phenotypes were obesity, dynapenic obesity, and dynapenia. Furthermore, obesity and dynapenic obesity were associated with IR in post-COVID-19 syndrome.

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Introduction: Lower respiratory tract infections remain the deadliest communicable disease worldwide. The relationship between cardiovascular diseases and viral infections is well known; for example, during the AH1N1 influenza pandemic, many patients developed acute cardiovascular disease. In the SARS-CoV2 pandemic, cardiovascular health has again become a challenge, with early reports showing cardiac damage in these patients. Objective: The study aims to describe the clinical characteristics of COVID-19 patients with an emphasis on cardiovascular compromises, compared with past outbreaks of influenza AH1N1, to identify prognostic factors of severity. Methods: A cross-sectional study of 72 subjects with a confirmed diagnosis of COVID-19 was conducted. Subjects were evaluated in two groups: 38 hospitalized patients and 34 patients in the Intensive Care Unit (ICU). Data from different outbreaks of influenza AH1N1 were then compared with this group. Results: The 34 subjects in the ICU had higher levels of high sensible troponin, D dimer, creatinine, and leukocytes compared with the 38 hospitalized subjects. The lymphocytes count was diminished in 85.29% of ICU subjects. When compared with AH1N1 patients, it was found that SARS-CoV2 patients were 10 years older on average. The proportion of overweight and obese SARS-CoV2 patients was double that in the influenza outbreaks. In addition, it was observed that a high number of SARS-CoV2 subjects presented with diabetes mellitus. Conclusion: There were various clinical and severity differences between each of these outbreaks. However, viral respiratory infection diseases such as SARS-CoV2 are a significant risk factor for acute ischemic, functional, and structural cardiovascular complications. The only way to combat this risk is a prevention approach, specifically through vaccines, but also through measures that force drastic changes in health policies to reduce perhaps the worst of pandemics, obesity, and its metabolic consequences.

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BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is characterized by progressive and irreversible airflow limitation. Different factors that modify pulmonary function include age, sex, muscular strength, and a history of exposure to toxic agents. However, the impact of body composition compartments and sarcopenia on pulmonary function is not well-established. This study aimed to evaluate how body composition compartments and sarcopenia affect pulmonary function in COPD patients. METHODS: In a cross-sectional study, patients with a confirmed diagnosis of COPD, > 40 years old, and forced expiratory volume in the first second /forced vital capacity ratio (FEV1/FVC) < 0.70 post-bronchodilator were included. Patients with cancer, HIV, and asthma were excluded. Body composition was measured with bioelectrical impedance. Sarcopenia was defined according to EWGSOP2, and pulmonary function was assessed by spirometry. RESULTS: 185 patients were studied. The mean age was 72.20 ± 8.39 years; 55.14% were men. A linear regression adjusted model showed associations between body mass index, fat-free mass, skeletal muscle mass index, appendicular skeletal muscle mass index, and phase angle (PhA), and sarcopenia with FEV1 (%). As regards FVC (%), PhA and exercise tolerance had positive associations. CONCLUSION: Body composition, especially PhA, SMMI, ASMMI, and sarcopenia, has a significant impact on pulmonary function. Early detection of disturbances of these indexes enables the early application of such therapeutic strategies in COPD patients.

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Chronic Obstructive Pulmonary Disease (COPD) patients have alterations in body composition. Bioelectrical impedance analysis (BIA) evaluates body composition, hydration status, and fluid distribution. Subjects with fluid disturbances have been found to have lower FEV1, respiratory muscle strength, and poor prognosis. We aimed to evaluate the effect of hydration status and fluid distribution on pulmonary function in COPD patients. A cross-sectional study, 180 patients with a confirmed diagnosis of COPD were included. Patients with asthma, advanced renal or liver disease, acute HF, exacerbation of COPD, or pacemakers were excluded. Hydration status variables (TBW, ECW, ICW) and disturbance of fluid distribution [impedance ratio (IR) > 0.84 and phase angle (PhA)] were evaluated by BIA. Pulmonary function was assessed by spirometry. The mean population age was 71.55 ± 8.94 years; 55% were men. Subjects were divided into two groups according to the IR ≥ 0.84 or < 0.84. The group with higher IR ≥ 0.84 had lower FEV1, FVC, FEV1/FVC, DLCO and, PhA compared to those with IR < 0.84. After adjusting for confounding variables TBW, ECW, IR ≥ 0.84, PhA, and resistance/height increase were associated with decreased FEV1. In the same way, with IR ≥ 0.84, edema index ≥ 0.48, trunk and abdominal IR were negatively associated with FVC, and PhA had a positive association with FVC. Fluid distribution, especially IR and PhA, could be a useful parameter for predicting pulmonary function in COPD patients.

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