Prevalence and associated factors of chemotherapy-related cognitive impairment in older breast cancer survivors.

AIMS: To examine the prevalence and associated factors of chemotherapy-related cognitive impairment (CRCI) in older breast cancer survivors (BCS). DESIGN: Systematic review. DATA SOURCES: We searched EMBASE, PubMed, PsychInfo, CINAHL, Cochrance Library, Web of Science, CNKI and SinoMed, without language restrictions, for studies published from the establishment of the database to September 2022. REVIEW METHODS: Two researchers independently examined the full texts, data extraction and quality assessment, and any discrepancies were resolved through discussion with a third reviewer. Quality of evidence was assessed using the Newcastle-Ottawa Scale and the Agency for Healthcare Research and Quality Scale. RESULTS: The seven included studies showed that the estimated prevalence of CRCI in older BCS ranged from 18.6% to 27% on objective neuropsychological tests and from 7.6% to 49% on subjective cognitive assessments. The areas most affected were attention, memory, executive functioning and processing speed. CRCI was associated with 10 factors in six categories, including sociodemographic (e.g. age, education level), physiological (e.g. sleep disorders, fatigue and comorbidities), psychological (e.g. anxiety, depression), treatment modalities (e.g. chemotherapy cycles, chemotherapy regimens), genetic (e.g. APOE2, APOE4) and lifestyle factor (e.g. physical inactivity). CONCLUSION: CRCI is multifactorial and has a relatively high prevalence. However, the results of subjective and objective cognitive examinations were inconsistent, possibly due to variations in tools used to evaluate different definitions of CRCI. Nevertheless, as there are few published studies of older BCS, this conclusion still require verification by well-designed studies in the future. IMPACT: We found that the prevalence of CRCI in older adults is relatively high and multifactorial, providing evidence for further health care for this population. NO PATIENT OR PUBLIC CONTRIBUTION: There was no patient or public involvement.

Alzheimer's Disease: Causal Effect between Obesity and APOE Gene Polymorphisms.

Currently studies on the correlation between obesity and Alzheimer's disease (AD) are still unclear. In addition, few indicators have been used to evaluate obesity, which has failed to comprehen-sively study the correlations between body fat mass, body fat distribution, and AD. Thus, this study innovatively utilized bioinformatics and Mendelian randomization (MR) to explore the key targets of obesity-induced AD, and investigate the causal associations between different types of obesity and key targets. The common targets of obesity and AD were screened using the GeneCards database, and functional and pathway annotations were carried out, thereby revealing the key target. MR analysis was conducted between body anthropometric indexes of obesity and the key target using an IVW model. Bioinformatics analysis revealed Apolipoprotein E (APOE) as the key target of obesity-induced AD. MR results showed that body mass index (BMI) had a negative causal association with APOE2, while body fat percentage (BFP) and trunk fat percentage (TFP) had no significant causal association with APOE2; BMI, BFP, and TFP had a negative causal association with APOE3, and none had any significant causal association with APOE4. In conclusion, there is a correlation between obesity and AD, which is mainly due to the polymorphism of the APOE gene rather than adipose tissue distribution. APOE3 carriers may be more susceptible to obesity, while the risk of AD caused by APOE2 and APOE4 may not be induced by obesity. This study sheds new light on current disputes. At the same time, it is suggested to regulate the body fat mass of APOE3 carriers in the early stage, and to reduce the risk of AD.

Predictive Value of Malnutrition, Identified via Different Nutritional Screening or Assessment Tools, for Functional Outcomes in Patients with Stroke: A Systematic Review and Meta-Analysis.

BACKGROUND: Malnutrition affects more than half of patients with stroke. Although malnutrition leads to more deaths, a longer hospital stay, and higher costs, there is still a lack of consensus regarding the impact of malnutrition on physical functional outcomes in patients with stroke, and there are large differences in the diagnostic effects of nutritional screening or assessment tools for malnutrition. This study aimed to explore the impact of malnutrition in patients with stroke and assess the significance of current nutritional screening and assessment tools for these patients. METHODS: Six databases were systematically searched until October 2022. Cohort studies meeting the eligibility criteria were included. Pooled effects were calculated using random-effects models. RESULTS: Twenty-six studies with 21,115 participants were included. The pooled effects of malnutrition on poor functional outcome, FIM points, and dysphagia were OR = 2.72 (95% CI = 1.84-4.06), WMD = -19.42(95% CI = -32.87--5.96), and OR = 2.80 (95% CI = 1.67-4.67), respectively. CONCLUSION: Malnutrition adversely affects the recovery of physical and swallowing functions in patients with stroke. Nutritional assessments consistently predict the outcomes of physical function in patients with stroke.

Social frailty as a predictor of adverse outcomes among older adults: a systematic review and meta-analysis.

BACKGROUND: With the aging of the population, frailty has attracted much attention, and the social dimension of frailty, namely social frailty, has also attracted attention. Studies have shown that social frailty can bring some adverse effects to the elderly, such as physical and cognitive function. AIMS: To explore the risk of adverse health outcomes in older adults with social frailty compared with older adults with non-social frailty. METHODS: Five databases were systematically searched from inception to February 28, 2023. Screening, data extraction and quality assessment were conducted independently by two researchers. The included studies were longitudinal studies of adverse outcomes in community-dwelling socially frail older adults, and the quality of each study was assessed using the Newcastle‒Ottawa Scale. RESULTS: A total of 15 studies were included based on the inclusion criteria, of which 4 were subjected to meta-analysis. The mean age of the included population ranged from 66.3 to 86.5 years. According to existing research, social frailty was predictive of some adverse outcomes, such as incident disability, depressive symptoms, and reduced neuropsychological function. The meta-analysis showed that social frailty had a significant predictive effect on mortality among older adults [HR = 2.27, (95% CI = 1.03-5.00)]. CONCLUSION: In community-dwelling older adults, social frailty was a predictor of mortality, incident disability, depressive symptoms and other adverse outcomes. Social frailty had a negative impact on older adults, so it was necessary to strengthen the screening of social frailty to reduce the incidence of adverse outcomes.

Impact of calorie intake and refeeding syndrome on the length of hospital stay of patients with malnutrition: a systematic review and meta-analysis.

BACKGROUND & AIMS: The decrease of nutritional status has affected one-third hospitalized patients, while there is no widely used definition of malnutrition. Refeeding syndrome is a severe complication of refeeding in people with malnutrition, it includes a series of electrolyte disorders and clinical symptoms. Further research is warranted to determine whether refeeding syndrome prolongs the length of stay, and to verify the effect of different energy intakes during refeeding on the length of stay in people with malnutrition. Our review aimed to explore the effects of refeeding syndrome and initial calorie intake on the length of stay in patients with malnutrition. This study aids the understanding of clinical nutrition strategies to prevent and treat refeeding syndrome. METHODS: PubMed, Embase, Cochrane Library, Web of Knowledge, and two Chinese databases were systematically searched until October 2021. Controlled studies of patients' refeeding process with the outcome of length of stay were included. Effect sizes were expressed as 95% confidence intervals (CIs) and calculated using random-effects models. RESULTS: Eighteen studies involving 3868 participants were included in our review. The pooled length of stay of 2965 patients with refeeding syndrome in 11 studies was 25.55 (95% CI, 20.20-30.90) days. The pooled impact of refeeding syndrome on length of stay of 2634 patients in 10 studies was weighted mean difference (WMD) = 2.91 (95% CI, -0.18 - 6.00; P = 0.065) days. The pooled effect of higher calorie intake of 1234 patients in 8 studies was WMD = -3.04 (95% CI, -5.10 to -0.99, P = 0.003) days. CONCLUSIONS: The average length of stay in patients with refeeding syndrome was 25.55 days with a very high heterogeneity between studies. Refeeding syndrome affects the length of stay in part of, but not all, patients. In the present review, we concluded that higher initial calorie intake may help shorten the length of stay in patients with malnutrition. More well-designed randomized controlled trials are needed to explore the effect of calorie intake during refeeding.

Efficacy of cognitive behavioral therapy for insomnia (CBT-I) in older adults with insomnia: A systematic review and meta-analysis.

Objectives: The aim is to evaluate the efficacy of cognitive behavioral therapy for insomnia (CBT-I) in older adults. We searched six databases to identify articles published in English or Chinese until January 30th, 2022. Methods: The two authors of the review independently selected the studies, assessed the risk of bias, and extracted the data. Fourteen studies were included. Results: Based on the results from sleep logs, a significant pooled effect size was observed for sleep efficiency (SE%) (MD = 8.36; 95% CI, 5.96-10.76; I2 = 77%; p < .00001), sleep onset latency (SOL) (MD = -9.29; 95% CI, -13.62 to -4.96; I2 = 64%; p < 0.0001), wake after sleep onset (WASO) (MD = -23.44; 95% CI, -32.41 to -14.47; I2= 85%; p < .00001), and total sleep time (TST) (MD = -12.35; 95% CI, -21.27 to -3.42; I2 = 63%; p = 0.007). Conclusions: Our study suggests that CBT-I may be a safe and effective approach for improving insomnia in older adults.

Effects of monitor alarm management training on nurses' alarm fatigue: A randomised controlled trial.

BACKGROUND: Chaotic monitor alarm management generates a large number of alarms, which result in alarm fatigue. Intensive care unit (ICU) nurses are caretakers of critically ill patients, the effect of alarm management affect patient safety directly. OBJECTIVES: To evaluate the effect of monitor alarm management training based on the theory of planned behaviour for reducing alarm fatigue in intensive care unit nurses. DESIGN: A randomised, single-blind trial. This article follows the requirements of CONSORT statement. PARTICIPANTS: The study was conducted from February 2019-May 2019 in a tertiary A-level hospital. 93 ICU clinical nurses were included, and they were randomly assigned into two groups. INTERVENTION: Nurses in the experimental group (n = 47) received a 12-week alarm management training course based on the theory of planned behaviour. Nurses in the control group (n = 46) received regular training. All nurses' alarm fatigue scores were measured with a questionnaire before and after the study period. Total number of alarms, nonactionable alarms and true crisis alarms were recorded continuously throughout the study period. RESULTS: For baseline comparisons, no significant differences were found. By the analysis of independent samples one-way ANCOVAs, the nurses' adjusted alarm fatigue scores at the post-test in the experimental group were significantly lower than those in the control group (p < .001). After the study period, adjusted total number of alarms and nonactionable alarms recorded in the experimental group were both significantly lower than those recorded in the control group (p < .001). After the study period, no significant difference between the two groups was noted in the adjusted number of true crisis alarms (p > .05). The interventions did not cause adverse events in either group of patients and did not cause adverse events in patients. CONCLUSION: Intensive care unit nurses' alarm fatigue was effectively decreased by the monitor alarm management training based on the theory of planned behaviour. RELEVANCE TO CLINICAL PRACTICE: (1) Monitor alarm training based on the theory of planned behaviour is effective in reducing nonactionable alarms and lowering alarm fatigue in ICU nurses. (2) The intervention considering the social psychological aspects of behaviour is effective in rebuilding the nurses' awareness and behaviour of alarm management. (3) Nurses are the direct users of monitoring technology. Hospital administrators should attach importance to the role of nurses in the medical monitoring system. We suggest that nursing managers implement training programmes in more ICUs in the future to improve alarm management ability and lower alarm fatigue in ICU nurses.