Dynapenic abdominal obesity as predictor of mortality and disability worsening in older adults: A 10-year prospective study.

UNLABELLED: There are relatively few prospective studies evaluating the combined effect of abdominal obesity and low muscle strength on worsening disability and on mortality. The study aimed at evaluating prospectively the prognostic value of dynapenic abdominal obesity definition on disability worsening in a 5.5-year follow-up and mortality in a 10-year follow-up. METHODS: In 93 men and 169 women aged between 66 and 78 years, leg isometric strength, waist circumference (WC), BMI, glycemia, HOMA, lipid profile, vitamin D3, albumin, fibrinogen, physical activity level, income, smoking status and comorbidities were evaluated at the baseline. Reported disabilities were measured at baseline, 1-y, 2-y, 3-y and 5.5-y follow-up and mortality rate was evaluated during a 10-y follow-up. The study population was categorized in dynapenic abdominal obese (D/AO), nondynapenic abdominal obese (ND/AO), dynapenic nonabdominal obese (D/NAO), nondynapenic nonabdominal obese (ND/NAO) according to muscle strength/WC tertiles. RESULTS: D/NAO subjects presented a disability worsening risk of 1.69 times (95%CI:1.11-2.57), ND/AO subjects showed a 2-fold increase in risk (95%CI:1.34-2.98), while being D/AO more than trebled the risk, even after considering confounding variables (HR:3.39,95%CI:1.91-6.02). Mortality risk after adjustment for other confounding variables was 1.57 (95%CI:1.16-2.13) for ND/AO and 2.46 (95%CI:1.34-4.52) for D/AO. CONCLUSIONS: Dynapenic abdominal obese subjects are at higher risk of worsening disability and mortality than subjects with dynapenia or central fat distribution only.

Identifying sarcopenia in acute care setting patients.

OBJECTIVES: To evaluate the prevalence of sarcopenia by applying European Working Group on Sarcopenia in Older People (EWGSOP) flow chart in an acute care geriatric unit as well as to test a modified version of the EWGSOP diagnostic algorithm combining handgrip and gait speed test to identify subjects with low muscle mass. DESIGN: Observational cohort study. SETTING: Geriatric unit in an academic medical department. PARTICIPANTS: One hundred nineteen acutely ill persons (34.4% female), with mean age 80.4 ± 6.9 years and body mass index 26.3 ± 4.9 kg/m(2). MEASUREMENTS: Assessment of muscle mass by bioimpedence analysis, muscle strength by handheld dynamometer, and gait speed with the 4-meter walking test. RESULTS: Using the EWGSOP classification for sarcopenia, 5.0% presented with sarcopenia and 21.0% with severe sarcopenia. Combining gait speed test and handgrip strength measurement, the highest predictive power in detecting subjects with low muscle mass was observed (sensitivity and specificity, 80.6% and 62.5%, respectively). Subjects presenting with both normal gait speed and handgrip showed normal values of muscle mass as assessed with bioimpedence analysis. By using the ROC method, when the 2 tests were combined, the AUC was statistically higher than when using each test separately (0.740; P = .018). CONCLUSIONS: Our study shows that 1 of 4 patients admitted to the acute care department were recognized to be sarcopenic. When a modifived version of the EWGSOP flow chart, obtained combining both gait speed and handgrip was used, sensitivity and specificity of algorithm to identify subjects with low muscle mass was improved.