Objective Subjects with mild cognitive impairment (MCI) may revert to normal cognition (NC), but predictive factors are under study. We therefore sought to identify factors which could help in predicting reversion from MCI to NC. Methods Relevant studies were retrieved from PubMed, EMBASE, Cochrane Library, MEDLINE, Web of Science, EBSCO, and OVID. According to the inclusion and exclusion criteria, high‐quality assessments of relevant literatures were conducted, followed by data extraction and meta‐analysis with Stata 12.0 software. Results A total of 17 studies with 6829 participants were included in the meta‐analysis. The overall reversion rate is 27.57%. Positive predictive factors were found in younger age (SMD = −0.345, 95% CI, −0.501 to −0.189), higher education level (SMD = 0.337, 95% CI, 0.117‐0.558), no APOE ε4 allele (OR = 0.728, 95% CI, 0.575‐0.922), no hypertension (OR = 0.826, 95% CI, 0.692‐0.987), no stroke (OR = 0.696, 95% CI, 0.507‐0.953), and higher Mini‐Mental State Examination (MMSE) score (SMD = 0.707, 95% CI, 0.461‐0.953). Conclusion Individuals who are at young age, have higher education level and MMSE score, and have no APOEe4 allele, no hypertension, and no stroke had a high probability to revert from MCI to NC.

The neutrophil-to-lymphocyte ratio (NLR) and red blood cell distribution width (RDW) are important indicators of adverse outcomes and have predictive value for many diseases; however, the relationships between frailty, and the NLR and RDW in patients with coronary heart disease (CHD) have not been determined. In this cross-sectional study, we investigated the association between frailty, and the NLR and RDW in elderly CHD patients ≥ 60 years of age. Frailty was defined according to frailty phenotype. Of 345 patients enrolled in the study, 22.6%, 58.3%, and 19.1% were characterized as robust, pre-frail, and frail, respectively. A significant positive correlation was observed between frailty and the NLR (r = 0.169) and RDW (r = 0.196). After adjusting for confounders, linear regression analyses showed that participants in the 4th quartile of the NLR or RDW were more likely to have a higher frailty phenotype score. Based on multivariable logistic regression, patients in the 4th quartile of the NLR and RDW, the fully-adjusted odds ratios for incident frailty were 2.894 (p = 0.011) and 2.494 (p = 0.040), respectively. Our findings indicate that frailty is associated with the NLR and RDW in elderly patients with CHD.

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The purpose of this study was to explore the relationship between social support, health literacy, and health care utilization in older Chinese adults. A cross-sectional survey design was employed. Data were collected from 32 nursing homes from Urumqi in Xinjiang of China. A total of 1486 respondents completed a pack of questionnaires. The average health literacy level of older adults in nursing homes was relatively low, only 73.68 ± 29.42 points; the average social support level was also relatively low, only 31.42 ± 7.12 points (lower than domestic norm of Chinese residents, P < .001). Both values were below the midpoint for the overall population, indicating a sample with below-average levels of healthy literacy and social support. Low social support levels are associated with poor health literacy and greater likelihood of hospital admission ( P < .05). Social support was significantly associated with health literacy. Improving the quantity and quality of social support may be an effective means to obtain better health literacy and lower hospital admissions.