Effect of exercise interventions on hospital length of stay and admissions during cancer treatment: a systematic review and meta-analysis.

OBJECTIVE: To assess the effect of participating in an exercise intervention compared with no exercise during cancer treatment on the duration and frequency of hospital admissions. DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE, EMBASE, PEDro and Cochrane Central Registry of Randomized Controlled Trials. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised studies published until August 2023 evaluating exercise interventions during chemotherapy, radiotherapy or stem cell transplant regimens, compared with usual care, and which assessed hospital admissions (length of stay and/or frequency of admissions). STUDY APPRAISAL AND SYNTHESIS: Study quality was assessed using the Cochrane Risk-of-Bias tool and Grading of Recommendations Assessment, Development and Evaluation assessment. Meta-analyses were conducted by pooling the data using random-effects models. RESULTS: Of 3918 screened abstracts, 20 studies met inclusion criteria, including 2635 participants (1383 intervention and 1252 control). Twelve studies were conducted during haematopoietic stem cell transplantation regimens. There was a small effect size in a pooled analysis that found exercise during treatment reduced hospital length of stay by 1.40 days (95% CI: -2.26 to -0.54 days; low-quality evidence) and lowered the rate of hospital admission by 8% (difference in proportions=-0.08, 95% CI: -0.13 to -0.03, low-quality evidence) compared with usual care. CONCLUSION: Exercise during cancer treatment can decrease hospital length of stay and admissions, although a small effect size and high heterogeneity limits the certainty. While exercise is factored into some multidisciplinary care plans, it could be included as standard practice for patients as cancer care pathways evolve.

Identification of comprehensive geriatric assessment-based risk factors for insomnia in elderly Chinese hospitalized patients.

OBJECTIVE: Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors associated with insomnia in elderly hospitalized patients. METHODS: Standardized face-to-face interviews were conducted and CGA data were collected from 356 Chinese hospitalized patients aged 60 years or older. Insomnia was defined as self-reported sleep poor quality according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-Ⅴ). Multivariate logistic regression analysis was applied to assess the association between patient clinical factors together with domains within the CGA and insomnia. RESULTS: Among the 365 patients, insomnia was found in 48.31% of the participants. Difficulty in initiating sleep (DIS), early morning awakening (EMA), difficulty in maintaining sleep (DMS), and snoring were found in 33.99%, 9.55%, 13.48%, and 1.69% of patients, respectively. Significant associations were found between insomnia and several covariates: female gender (P = 0.034), depression (P = 0.001), activities of daily living (ADL) (P = 0.034), instrumental activities of daily living (IADL; P = 0.009), falling (P = 0.003), chronic pain (P = 0.001), and poor nutritional status (P = 0.038). According to the results of the adjustment multivariate logistic regression analysis, female sex (odds ratio [OR] = 2.057, confidence interval [CI] = 1.179-3.588, P = 0.011), depression (OR = 1.889, CI = 1.080-3.304, P = 0.026), and chronic pain (OR = 1.779, CI = 1.103-2.868, P = 0.018) were significant independently predictors associated with insomnia. CONCLUSIONS: Our study revealed that female sex, depression, and chronic pain were independently predictors of insomnia in hospitalized patients. Early identification of elderly patients with these risk factors using the CGA may improve the quality of life and treatment outcomes.

Prevalence and the factors associated with malnutrition risk in elderly Chinese inpatients.

BACKGROUND: Malnutrition is an under recognized, but common issue in elderly patients. This study aimed to investigate the prevalence of poor nutritional status and identify comprehensive geriatric assessment-based clinical factors associated with increased malnutrition risk to assessing malnutrition risk in hospitalized elderly patients in China. METHODS: A total of 365 elderly hospitalized patients (178 women, 76.37 ± 7.74 years) undertook a comprehensive geriatric assessment (CGA), and have their nutritional status assessed using the short-form mini-nutritional assessment. RESULTS: Among 365 patients, 32 (8.77%) were malnourished and 112 (30.68%) were at risk of malnutrition. A logistic regression analysis showed that age (odds ratio [OR], 1.59; 95% confidence interval [CI], 1.13-2.23), alcohol consumption (OR, 2.04; 95% CI, 1.19-3.48), presence or history of cancer or heart failure (OR, 3.48 and 2.86; 95% CI, 1.49-8.13 and 1.12-7.27), depression (OR, 2.86; 95% CI, 1.97-4.17), body mass index (OR, 5.62; 95% CI, 3.62-8.71), being dependent in activity of daily living (OR, 3.81; 95% CI, 2.61-5.57), a lower score in instrumental activities of daily living (OR, 3.01; 95% CI, 2.09-4.33), recent fall(s) (OR, 2.22; 95% CI, 1.37-2.91), cognitive impairment (OR, 1.81; 95% CI, 1.30-2.53), insomnia (OR, 1.49; 95% CI, 1.07-2.06), hemoglobin and albumin level (OR, 1.72 and 2.86; 95% CI, 1.17-2.50 and 1.53-5.36) were independent correlates of malnutrition in older patients. CONCLUSION: Our study demonstrated that age, alcohol consumption, chronic diseases (cancer and heart failure), depression, body mass index, function status, recent fall(s), cognitive impairment, insomnia, and low hemoglobin and albumin levels were independently associated with malnutrition in these patients. Comprehensive geriatric assessment can provide detailed information of older patients and can be a useful tool for assessing malnutrition risk-associated factors.

Role of gut microbial metabolites in nonalcoholic fatty liver disease.

Nonalcoholic fatty liver disease (NAFLD) is a common, multifactorial liver disease that has emerged as a global challenge due to its increasing prevalence and lack of sustainable treatment options. Gut microbiota possess vital functions in fermenting dietary nutrients and synthesizing bioactive molecules. This function is of great importance in maintaining health because these microbial metabolites are essential in regulating energy metabolism, immune response, and other vital physiological processes. Altered gut flora can result in a change in gut microbial metabolites, affecting the onset and progression of multiple diseases. In this review we summarize the metabolites that may have beneficial or harmful effects on the development and progression of NAFLD. This will help us better understand the possible mechanisms underlying the pathogenesis of NAFLD and facilitate the identification of potential therapeutic approaches for NAFLD.

Targeting cyclin-dependent kinases in gastrointestinal cancer therapy.

Cyclin-dependent kinases (CDKs) play an important role in cell-cycle progression. CDKs are positively modulated by regulatory mitotic cyclins and negatively controlled by endogenous CDK inhibitors (CDKIs) cyclically as cells progress through different cell cycles of transitions. When activated by cyclins, cyclin-CDK complexes were able to facilitate the transition of cell cycle from one phase to the next, e.g., from G1 to S or from G2 to M. DNA damages may cause inhibition of CDKs leading to cell-cycle arrest, while unrepairable DNA damage causes cells to undergo apoptosis. Disruption of cell cycle progression is an important cancer hallmark to mediate uncontrolled cell proliferation, tumorigenesis, and metastasis. Aberrantly expressed CDKs are causally linked to the development of gastrointestinal cancers, and as such, CDKs may not only form a class of potential biomarkers for the diagnosis and therapy of gastrointestinal cancers. In this review article, we summarized the data from translational studies using CDKs as a target for gastrointestinal cancer treatment.