Objective:To evaluate the effects of different exercises on patients with chronic kidney disease based on network Meta-analysis so to provide a basis for medical and nursing staff to develop exercise programs.Methods:Randomized controlled trials on the effects of different exercises on patients with chronic kidney disease were electronically searched in databases such as Web of Science, PubMed, Embase, Cochrane Library, China Biology Medicine disc, WanFang Data, and China National Knowledge Infrastructure. The search period was from January 1, 2000, to March 1, 2023. Two researchers conducted literature screening, data extraction, and literature quality evaluation independently. The data was analyzed by using R software in conjunction with the gemtc package and plotted by using Stata software.Results:A total of 52 articles were included, with a cumulative sample size of 3 127 cases, involving three types of exercise (aerobic, resistance, and combined). The network Meta-analysis showed statistically significant differences between the three exercise methods and routine nursing in delaying renal function progression and improving cardiovascular endurance ( P<0.05). In controlling blood pressure and improving walking ability, the effects of three exercise methods were all superior to routine nursing, and the differences were statistically significant ( P<0.05). The area under the cumulative ranking probability curve showed that aerobic exercise>resistance exercise>combined exercise in terms of delaying renal function progression. In controlling blood pressure, resistance exercise>aerobic exercise>combined exercise. In terms of improving cardiovascular endurance, aerobic exercise>resistance exercise>combined exercise; In terms of improving walking ability, resistance exercise>combined exercise>aerobic exercise. Subgroup analysis showed that ≥ 24 weeks was the optimal intervention period for aerobic exercise. Resistance exercise intervention for ≥ 12 weeks could lower blood pressure, and intervention for ≤12 weeks could improve walking ability. However, when the intervention time was longer than 24 weeks, combined exercise had an excellent effect. Conclusions:Aerobic exercise is an excellent way to delay renal function progression and improve cardiovascular endurance. Resistance exercise is the optimal exercise method for controlling blood pressure and improving walking ability. Medical and nursing staff should choose appropriate types of exercise based on the patient's medical needs.
Objective:To explore the risk factors for postoperative delirium in colorectal cancer patients based on Meta-analysis.Methods:A computer search was conducted on PubMed, Embase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP and China Biology Medicine disc, and literatures on influencing factors of postoperative delirium of colorectal cancer published by each database until April 6, 2022 were selected. Two researchers independently screened the literature, extracted the data, and evaluated the quality of the literature using Newcastle-Ottawa Scale (NOS) . Stata 15.0 statistical software was used to conduct a Meta-analysis of the included literatures.Results:A total of 19 articles were included, including 5 295 patients. The Meta-analysis results showed that the combined odds ratio ( OR) values and 95% confidence interval (95% CI) of various factors for postoperative delirium in colorectal cancer patients were advanced age [1.10 (1.06-1.14) ] , male [2.29 (1.81-4.44) ] , alcohol abuse [3.14 (1.63-6.06) ] , preoperative physical condition grading (≥level 3) [1.47 (1.13-1.91) ] , comorbidities [1.59 (1.16-2.17) ] , history of mental illness [7.86 (4.57-13.54) ] , history of cerebrovascular disease [5.74 (3.78-8.72) ] , cognitive impairment [3.31 (1.20-9.08) ] , albumin [0.81 (0.66-0.99) ] , perioperative blood transfusion [2.29 (1.41-3.69) ] and C-reactive protein [2.24 (1.11-4.53) ] , all P<0.05. Conclusions:The risk factors for delirium in colorectal cancer patients after operation are old age, male, alcoholism, preoperative physical condition grading≥level 3, combined diabetes and other basic diseases, history of mental disease, history of cerebrovascular disease, cognitive dysfunction, low albumin, perioperative blood transfusion and elevated C-reactive protein.
Objective:To understand the macronutrient content and influencing factors of donated breast milk in breast milk bank.Methods:A total of 458 first-time breast milk donors and their donated breast milk from June 2016 to June 2018 in Shanghai were selected as research objects by the convenient sampling method to determine the macronutrient content in donated breast milk. Multiple linear regression was used to analyze the influencing factors of the macronutrient content of donated breast milk.Results:In macronutrient content of 458 donated breast milk, the protein content was (0.95±0.24) g/dl, fat content was (4.03±1.25) g/dl, sugar content was (7.44±0.38) g/dl, dry matter was (12.75±3.16) g/dl and energy content was (71.12±11.33) kcal/dl.The results of multiple linear regression analysis showed that the time of milk donation and infant gender were the influencing factors of protein content in donated breast milk ( P<0.05). The time of milk donation, mode of delivery and season of birth were the influencing factors of the sugar content in donated breast milk ( P<0.05). The time of milk donation was the influence factor of energy content in donated breast milk ( P<0.05) . Conclusions:The content of macronutrients in donated breast milk in this study is lower than the demand for macronutrients in premature infants. The macronutrient composition of donated breast milk varies greatly among individuals, which is related to the time of milk donation, the mode of delivery, the infant gender and birth season of the baby. Therefore, further research is needed on how to add breast milk additives to donated breast milk in the later stage for targeted reinforcement to meet the growth and development needs of premature infants.
Objective:To explore the current situation of hypoglycemia fear of elderly patients with type 2 diabetes mellitus (T2DM) in the community, identify different types of hypoglycemia fear among elderly T2DM patients in the community by latent profile analysis, and analyze its influencing factors, so as to provide reference for formulating intervention measures.Methods:From February to April 2023, convenience sampling was used to select 300 elderly T2DM patients from three community health service centers in Shunqing District, Nanchong City, Sichuan Province as the research subject. The self-designed General Information Questionnaire, the Chinese Version Hypoglycemia Fear Survey-Ⅱ (CHFS-Ⅱ), and the Summary Diabetes Self Care Activities (SDSCA) were used to investigate the patients, and the latent profile of hypoglycemia fear was analyzed. Binary Logistic regression was used to analyze the influencing factors of different latent categories of hypoglycemic fear in elderly T2DM patients in the community.Results:A total of 300 questionnaires were distributed, and 290 valid questionnaires were collected, with an effective response rate of 96.7% (290/300). Among 290 elderly T2DM patients in the community, the hypoglycemia fear could be divided into two latent categories, including the "moderate worry-normal coping" group ( n=134) and the "high fear-cautious behavior" group ( n=156). The binary Logistic regression showed that marital status, whether there were complications of diabetes, treatment plan and self-management were the factors influencing the latent categories of elderly T2DM patients in the community, and the difference was statistically significant ( P<0.05) . Conclusions:There are classification characteristics of hypoglycemic fear levels in elderly T2DM patients in the community. Community medical and nursing staff should early identify patients in the "high fear-cautious behavior" group, regularly carry out targeted hypoglycemic health education and psychological intervention, reduce their hypoglycemic fear, and improve their quality of life.
During the chemotherapy phase, patients with acute leukemia exhibit a myriad of symptoms. These symptoms are interconnected and mutually influential, forming symptom clusters that severely impact the patient's quality of life. This article summarizes the concept of symptom clusters, types of symptom clusters in acute leukemia patients undergoing chemotherapy, influencing factors, and non-pharmacological intervention measures. The aim is to provide a foundation for medical professionals in designing management plans for symptom clusters in acute leukemia patients undergoing chemotherapy.
