Falls are the main cause of accidental death in persons aged 65 years or older. Using MEDLINE and previous reviews, we searched for prospective studies investigating risk factors for falls among community-dwelling older people. For risk factors investigated by at least 5 studies in a comparable way, we computed pooled odds ratios (ORs) using random-effects models, with a test for heterogeneity. A total of 74 studies met the inclusion criteria and 31 risk factors were considered, including sociodemographic, mobility, sensory, psychologic, and medical factors and medication use. The strongest associations were found for history of falls (OR = 2.8 for all fallers; OR = 3.5 for recurrent fallers), gait problems (OR = 2.1; 2.2), walking aids use (OR = 2.2; 3.1), vertigo (OR = 1.8; 2.3), Parkinson disease (OR = 2.7; 2.8), and antiepileptic drug use (OR = 1.9; 2.7). For most other factors, the ORs were moderately above 1. ORs were generally higher for recurrent fallers than for all fallers. For some factors, there was substantial heterogeneity among studies. For some important factors (eg, balance and muscle weakness), we did not compute a summary estimate because the measures used in various studies were not comparable. This meta-analysis provides comprehensive evidence-based assessment of risk factors for falls in older people, confirming their multifactorial etiology. Some nonspecific indicators of high baseline risk were also strong predictors of the risk of falling.

Purpose: Recent screening trial results indicate that low-dose computed tomography (LDCT) reduces lung cancer mortality in high-risk patients. However, high false-positive rates, costs, and potential harms highlight the need for complementary biomarkers. The diagnostic performance of a noninvasive plasma microRNA signature classifier (MSC) was retrospectively evaluated in samples prospectively collected from smokers within the randomized Multicenter Italian Lung Detection (MILD) trial. Patients and Methods: Plasma samples from 939 participants, including 69 patients with lung cancer and 870 disease-free individuals (n = 652, LDCT arm; n = 287, observation arm) were analyzed by using a quantitative reverse transcriptase polymerase chain reaction–based assay for MSC. Diagnostic performance of MSC was evaluated in a blinded validation study that used prespecified risk groups. Results: The diagnostic performance of MSC for lung cancer detection was 87% for sensitivity and 81% for specificity across both arms, and 88% and 80%, respectively, in the LDCT arm. For all patients, MSC had a negative predictive value of 99% and 99.86% for detection and death as a result of disease, respectively. LDCT had sensitivity of 79% and specificity of 81% with a false-positive rate of 19.4%. Diagnostic performance of MSC was confirmed by time dependency analysis. Combination of both MSC and LDCT resulted in a five-fold reduction of LDCT false-positive rate to 3.7%. MSC risk groups were significantly associated with survival (χ₁² = 49.53; P < .001). Conclusion: This large validation study indicates that MSC has predictive, diagnostic, and prognostic value and could reduce the false-positive rate of LDCT, thus improving the efficacy of lung cancer screening.

Background: It is widely reported that maternal diet influences the nutritional composition of breast milk. The amount of variability in human milk at