Factors influencing thirst in ICU patients: A mixed methods systematic review.

OBJECTIVE: To systematically review the factors influencing thirst in ICU patients, providing a reference for effective management of thirst in ICU patients and the formulation of intervention measures. METHODS: A total of 12 electronic databases were searched from inception to July 2023. The synthesis method of JBI mixed methods research systematic review was used. The quantitative studies were analyzed by Stata17.0 and RevMan 5.3 software, and the qualitative studies by meta-aggregation. RESULTS: A total of 13 studies were included, including 2 qualitative studies and 11 quantitative studies. The quantitative study was carried out by meta-aggregation, extracting seven categories to form two synthesized findings. Quantitative meta-analysis revealed that 11 factors, including marital status, whether to use mechanical ventilation for the first time, air leakage, mechanical ventilation mode, simplified acute physiology score, respiratory rate, mask comfort, serum sodium concentration, breathing pattern, diuretics, and vasoactive drugs, were all associated with the occurrence of thirst in ICU patients. The qualitative and quantitative results were integrated into 5 categories, namely personal characteristics and lifestyle, disease factors, treatment factors, psychological factors, and nurse factors. CONCLUSIONS: Thirst is a prevalent and severe issue among ICU patients, and effective interventions are required to address it. Considering its various causes, managing thirst in ICU patients should involve multiple levels of intervention. Treatment-related factors contribute significantly to thirst, and these factors should be taken into consideration when developing a thirst management strategy. Personal characteristics and lifestyle, psychological factors, drug-related factors, and nursing factors should be identified and optimized as soon as possible. IMPLICATIONS FOR CLINICAL PRACTICE: Healthcare professionals should pay attention to thirst symptoms in ICU patients and promptly take effective preventive or intervention measures based on the influencing factors.

Reliability and validity of the Chinese version of the trauma-specific frailty index (TSFI) for geriatric trauma patients.

BACKGROUND: Pre-traumatic frailty in geriatric trauma patients has caught attention from emergency medical workers and the assessment of it thus become one of the important aspects of risk management. Several tools are available to identify frailty, but limited tools have been validated for geriatric trauma patients in China to assess pre-traumatic frailty.The aim of this study is to translate the Trauma-Specific Frailty Index(TSFI) into Chinese, and to evaluate the reliability and validity of the translated version in geriatric trauma patients. METHODS: A cross-sectional study was conducted. The TSFI was translated with using the Brislin model, that included forward and backward translation. A total of 184 geriatric trauma patients were recruited by a convenience sampling between October and December 2020 in Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan. Using reliability or internal consistency tests assessed with Cronbach's alpha coefficient, split-half reliability and test-retest reliability. Content validity and construct validity analysis were both performed. Sensitivity, specificity and maximum Youden index(YI) were used to determine the optimal cut-off value. The screening performance was examined by Kappa value. RESULTS: The total study population included 184 subjects, of which 8 participants were excluded, resulting in a study sample size of 176 elderly trauma patients (the completion rate was 95.7%). The Chinese version of Trauma-Specific Frailty Index(C-TSFI) have 15 items with 5 dimensions. Cronbach's alpha coefficient of the C-TSFI was 0.861, Cronbach's alpha coefficient of dimensions ranged from 0.837 to 0.875, the split-half reliability of the C-TSFI were 0.894 and 0.880 respectively, test-retest reliability ranged from 0.692 to 0.862. The correlation coefficient between items and the C-TSFI ranged from 0.439 to 0.761. The content validity index for items (I-CVI) of the C-TSFI scale was 0.86~1.00, and the scale of content validity index (S-CVI) was 0.93. The area under curve (AUC) of the C-TSFI was 0.932 (95%CI 0.904-0.96, P < 0.05), the maximum YI was 0.725, the sensitivity was 80.2%, the specificity was 92.3%, and the critical value was 0.31. Kappa value was 0.682 (P < 0.05). CONCLUSIONS: The Chinese version of TSFI could be used as a general assessment tool in geriatric trauma patients, and both its reliability and validity have been demonstrated.

Prevalence and Risk Factors of Postdialysis Fatigue in Patients Under Maintenance Hemodialysis: A Systematic Review and Meta-Analysis.

PURPOSE: Despite the high prevalence of postdialysis fatigue (PDF) in maintenance hemodialysis patients, no meta-analysis on the prevalence and risk factors of PDF has yet been published. This study aimed to identify the prevalence of PDF and explore its related factors. METHODS: PubMed, Embase, CENTRAL, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and the four Chinese databases (National Knowledge Infrastructure [CNKI], Chinese Biomedical Literature database [SinoMed], Wanfang Digital Periodicals [WANFANG], and Chinese Science and Technology Periodicals [VIP] database) were searched from inception up to July 2022. This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The articles were independently searched by two reviewers, and the relevant data were extracted. The Agency for Healthcare Research and Quality was used to assess the quality of the included studies. RESULTS: Thirteen articles with 2,118 participants were included. The pooled prevalence was 60.0%. The meta-analysis results revealed that the ultrafiltration volume, mean arterial pressure after dialysis, and good sleep quality were potentially associated with PDF, whereas only good sleep quality (odds ratio 0.24, 95% confidence interval 0.19-0.30) was significantly associated with PDF. CONCLUSION: PDF is common in maintenance hemodialysis patients, which is related to the ultrafiltration volume, sleep quality, and mean arterial pressure after dialysis. However, the mechanism underlying the risk factors and PDF remains unknown. Further research is warranted to investigate the risk factors, intervention, treatment, and mechanism in maintenance hemodialysis patients.