A nomogram for predicting neurogenic lower urinary tract dysfunction in patients with acute ischemic stroke: A retrospective study.

AIMS: To investigate the risk factors for neurogenic lower urinary tract dysfunction (NLUTD) in patients with acute ischemic stroke (AIS), and develop an internally validated predictive nomogram. The study aims to offer insights for preventing AIS-NLUTD. METHODS: We conducted a retrospective study on AIS patients in a Shenzhen Hospital from June 2021 to February 2023, categorizing them into non-NLUTD and NLUTD groups. The bivariate analysis identified factors for AIS-NLUTD (p < 0.05), integrated into a least absolute shrinkage and selection operator (LASSO) regression model. Significant variables from LASSO were used in a multivariate logistic regression for the predictive model, resulting in a nomogram. Nomogram performance and clinical utility were evaluated through receiver operating characteristic curves, calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC). Internal validation used 1000 bootstrap resamplings. RESULTS: A total of 373 participants were included in this study, with an NLUTD incidence rate of 17.7% (66/373). NIHSS score (OR = 1.254), pneumonia (OR = 6.631), GLU (OR = 1.240), HGB (OR = 0.970), and hCRP (OR = 1.021) were used to construct a predictive model for NLUTD in AIS patients. The model exhibited good performance (AUC = 0.899, calibration curve p = 0.953). Internal validation of the model demonstrated strong discrimination and calibration abilities (AUC = 0.898). Results from DCA and CIC curves indicated that the prediction model had high clinical utility. CONCLUSIONS: We developed a predictive model for AIS-NLUTD and created a nomogram with strong predictive capabilities, assisting healthcare professionals in evaluating NLUTD risk among AIS patients and facilitating early intervention.

A retrospective study on the prevalence and risk factors of neurogenic lower urinary tract dysfunction for acute ischemic stroke in China: A case-control study.

PURPOSE: This study identified risk factors for neurogenic lower urinary tract dysfunction (NLUTD) in patients with acute ischemic stroke (AIS) through multidimensional analysis of the medical records of patients, aiming to reduce the incidence of NLUTD, improve prognosis, and facilitate rehabilitation. MATERIALS AND METHODS: In this case-control study, patients with AIS were recruited from two tertiary general hospitals in Shenzhen, China, from March 2021 to October 2023. Patients were divided into NLUTD and non-NLUTD groups based on the presence and absence of NLUTD, respectively. Comparative analysis was performed using the Mann-Whitney U and chi-square tests, with significant variables being included in logistic regression analysis. RESULTS: Of the 652 participants enrolled in this study, 119 participants (18.3%) developed NLUTD. Bivariate analysis showed that 39 of 54 screened factors exhibited a significant correlation (p<0.05) with the incidence of NLUTD after AIS. Significant variables identified through logistic regression analysis included Glasgow coma scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) scores, anemia, aphasia, pneumonia, brainstem involvement, multiple lesions, urine clarity (CLA), random venous blood glucose (GLU) and hemoglobin (HGB) levels, and white blood cell (WBC) count. CONCLUSIONS: A total of 11 risk factors for NLUTD were identified in this study. This finding provides valuable guidance for reducing the incidence of NLUTD after AIS and improving the quality of life of patients.

The Realities and Needs of Nursing Assistants Caring for Disabled Patients with Fecal Incontinence During Hospitalization: A Qualitative Study.

Objective: To explore the experience, role, and needs of medical nursing assistants during hospitalization in patients with incapacitated fecal incontinence. Methods: Qualitative study using reflexive thematic analysis. Semi-structured interviews were conducted with 21 medical nursing assistants from three hospitals in Southern China. Results: Four themes were constructed from the data: (1) Role perception. All participants described the multiple roles they played during care and knowledge and familiarity with the roles were seen as providing high-quality care to patients. (2) Career cognition. Overall, participants had a positive view of nurse assistants as a career. They believed that nursing experience was more important than training. (3) emotional belonging. The multiple roles of medical nursing assistants give them very mixed emotions. (4) Potential needs. Participants reported that the fatigue of repeatedly scrubbing and cleaning stools, the negative emotions that could not be faced and resolved, and their special status made them overwhelmed, potentially reflecting that they needed more support. Conclusions: This study highlights the roles, experiences, confusions, and needs of nursing assistants in caring for patients with disabling fecal incontinence. Suggested areas for improvement include the development of more intelligent fecal incontinence collection devices and the development of management and training strategies by health managers based on the specific context of medical nursing assistants to emphasize the role of medical nursing assistants and improve the quality of clinical care.

Prevalence and Influencing Factors of Help-Seeking Behavior Among Women with Urinary Incontinence: A Systematic Review and Meta-Analysis.

Purpose: This systematic review and meta-analysis aimed to investigate the mean (weighted) prevalence of help-seeking behavior among women with urinary incontinence (UI) in relevant subgroups and the related influencing factors. Materials and Methods: Six English and four Chinese databases were systematically searched between 1996 and July 10, 2022. Two researchers independently screened the literature, extracted data, and evaluated the quality of the included studies. All statistical analyses were conducted using RevMan 5.4. Results: The mean (weighted) prevalence of help-seeking behavior based on the 41 included studies, including a total of 32,640 women with UI, was 28% (95% confidence interval [CI]: 22%-34%). We performed a subgroup analysis based on UI type, population, region, publication time, case definition of help-seeking, and use of validated tools to determine UI. The results of the subgroup analysis showed that the pooled prevalence of help-seeking behavior was 23% (95% CI: 14%-32%) among pregnant and maternity women, 27% (95% CI: 19%-35%) among menopausal women, 24% (95% CI: 14%-35%) among 20- to 50-year-old women, 31% (95% CI: 25%-36%) among those older than 50 years, 24% (95% CI: 17%-30%) in Asia, and 33% (95% CI: 22%-44%) in Europe. Meanwhile, the pooled odds ratio showed that education level, UI type, UI severity, and quality of life significantly influenced help-seeking behavior among women with UI. Conclusions: This systematic review revealed that the pooled prevalence of help-seeking behaviors among women with UI is 28%. These influencing factors have important implications for adapting to health care and social care systems.

Predictive value of risk factors for bladder dysfunction in Chinese patients with type 2 diabetes mellitus: A case-control study.

OBJECTIVE: To analyze risk factors associated with bladder dysfunction in patients with type 2 diabetes mellitus (T2DM) and to construct a prediction model for early prediction of diabetic bladder dysfunction (DBD). METHODS: We included hospitalized patients with T2DM from the endocrinology department of Shenzhen Hospital, Southern Medical University, Shenzhen, China, from January 2019 to 2022. Factors associated with DBD in bivariate analysis with a p < 0.05 were included in a multivariate logistic regression analysis. Multivariate logistic regression analysis was used to determine independent risk factors and to construct a prediction model. The prediction model was presented as the model formula. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of the above risk factors and the prediction model for DBD. The model was internally verified by Boostrap resampling 1000 times. RESULTS: Two hundred and eleven patients were included in this study, and they were divided into the DBD group (n = 101) and the non-DBD group (n = 110). Eight variables showed significant significance in the bivariate analysis, including age, diabetic peripheral neuropathy (DPN), glycated hemoglobin (HbA1c), urinary microalbumin (mALB), red blood cell count (RBC), white blood cell count (WBC), absolute neutrophil count (ANC), percentage of monocyte (Mono%). Furthermore, multivariate logistic regression analysis revealed that age (OR [95% CI]: 1.077 [1.042-1.112]), p < 0.001; DPN (OR [95% CI]: 2.373 [1.013-5.561]), p = 0.047; HbA1c (OR [95% CI]: 1.170 [1.029-1.330]), p = 0.017 and ANC (OR [95% CI]: 1.234 [1.059-1.438]), p = 0.007 were independent risk factors for the DBD. The prediction model formula was Logit (p) = -6.611 + 0.074 age + 0.864 DPN + 0.157 HbA 1 c + 0.078 ANC. The area under the ROC curve (AUC) for the four risk factors were 0.676, 0.582, 0.618, and 0.674, respectively. The prediction model predicted DBD with higher accuracy than the individual risk factors, AUC = 0.817 (95% CI: 0.757-0.877), and the sensitivity and specificity were 88.1% and 50.0%, respectively. The model internal validation results showed that the AUC = 0.804 (95% CI: 0.707-0.901), and the calibration curve is close to the ideal diagonal line. CONCLUSIONS: Age, DPN, HbA1c, and ANC were risk factors for DBD. The prediction model constructed based on the four risk factors had a good predictive value for predicting the occurrence of DBD.

Clinical practice guidelines for the management of adult patients with neurogenic lower urinary tract dysfunction: a systematic review protocol.

INTRODUCTION: Neurogenic lower urinary tract dysfunction (NLUTD) both threatens the health of affected patients long-term and also has a significantly negative impact on the patients' quality of life. present, many clinical practice guidelines (CPGs) have been developed for NLUTD patients, but these CPGs may confuse healthcare professionals and patients due to their great difference in terms of scope, quality and content. This review aims to identify the CPGs for NLUTD patients published from 2012 to 2022, assess their quality and then analyse them in an integrated manner. METHODS AND ANALYSIS: We will systematically search electronic healthcare databases (English databases including PubMed, EMBASE, OVID, Scopus, Web of Science, Cochrane Library, CINAHL, UpToDate, and Best Practice and Chinese databases including China National Knowledge Infrastructure, Wanfang Database, VIP Periodical Resource Integration Service Platform and SinoMed), online CPG repositories and relevant professional association websites to identify eligible CPGs. The CPGs published in English and Chinese with full texts available within the period from January 2012 to March 2022 will be included in this study. The Appraisal of Guidelines for Research and Evaluation (AGREE) II will be used to assess the quality of included CPGs. According to the predesigned data table, the general characteristics of these CPGs, proposed recommendations and their quality of evidence, strength of recommendation and other information will be extracted. Qualitative thematic analysis will be applied to the extracted recommendations. A summary of the proposed recommendations, their quality of evidence, strength of recommendation and other information will eventually be described in a table. This review is expected to identify knowledge gaps in current CPGs and to identify the areas of the proposed recommendations derived from low-level evidence. ETHICS AND DISSEMINATION : This systematic review does not involve the participation of any subjects, and therefore no ethical approval is required. The findings of this review will be published in a peer-reviewed journal and disseminated via conference presentations. PROSPERO REGISTRATION NUMBER: CRD42022318180.