RESUMEN
BACKGROUND: Low muscle mass is common in hospitalized patients. It is associated with adverse clinical outcomes. Reported prevalence varies widely due to non-universally accepted diagnostic criteria and the heterogeneity of the populations studied. Non-surgical ill patients are underrepresented in the literature. AIMS: To estimate the prevalence of low muscle index and its impact on survival in patients admitted to an internal medicine unit. METHODS: We prospectively enrolled patients with abdominal CT scans on admission to the Internal Medicine ward. We assessed muscle mass index (L3MI) at the level of the L3 lumbar vertebra. The primary outcome was to estimate the prevalence of low muscle mass on admission. Secondary outcomes were to determine the relationship of low L3MI with hospital mortality, length of stay, nosocomial infections, and hospital readmission. RESULTS: One hundred and seven patients were included. The prevalence of low L3MI was 46.7%. An L3MI of 46.3 cm2/m2 in men and 40.9 cm2/m2 in women predicted death at one year with a sensitivity of 66% and a specificity of 78% (AUC = 0.62 [95% CI 0.38-0.86]) and 69 and 66% (AUC of 0.63 [95% IC 0.47-0.78]), respectively. In-hospital mortality, death at 60, 90, and 360 d, and hospital readmission were significantly higher in patients with low L3MI. CONCLUSION: Almost half of the patients admitted to an internal medicine ward have low muscle mass index. The cutoff point of 40.9 cm2/m2 in females and 46.3 cm2/m2 in males predicts relevant clinical variables. We established the better L3MI cutoff value to predict 12-month mortality.
RESUMEN
Polycystic ovary syndrome (PCOS) is often accompanied with metabolic disturbances attributed to androgen excess and obesity, but the contribution of each has not been defined, and the occurrence of metabolic disturbances is usually not investigated. Ninety-nine women with PCOS and forty-one without PCOS were evaluated. The clinical biomarkers of alterations related to glucose (glucose, insulin, and clamp-derived glucose disposal - M), liver (aspartate aminotransferase, alanine aminotransferase, and gamma-glutamyl transferase), and endothelium (arginine, asymmetric dymethylarginine, carotid intima-media thickness, and flow-mediated dilation) metabolism were measured; participants were categorized into four groups according to their obesity (OB) and hyperandrogenemia (HA) status as follows: Healthy (no-HA, lean), HA (HA, lean), OB (no-HA, OB), and HAOB (HA, OB). Metabolic disturbances were very frequent in women with PCOS (≈70%). BMI correlated with all biomarkers, whereas free testosterone (FT) correlated with only glucose- and liver-related indicators. Although insulin sensitivity and liver enzymes were associated with FT, women with obesity showed lower M (coef = 8.56 - 0.080(FT) - 3.71(Ob); p < 0.001) and higher aspartate aminotransferase (coef = 26.27 + 0.532 (FT) + 8.08 (Ob); p = 0.015) than lean women with the same level of FT. Women with obesity showed a higher risk of metabolic disorders than lean women, independent of hyperandrogenemia. Clinicians are compelled to look for metabolic alterations in women with PCOS. Obesity should be treated in all cases, but hyperandrogenemia should also be monitored in those with glucose-or liver-related disturbances.