Timing of early water intake post-general anaesthesia: a systematic review and meta-analysis.

BACKGROUND: Early water intake has gained widespread attention considering enhanced recovery after surgery (ERAS). In the present systematic evaluation and meta-analysis, we assessed the effects of early water intake on the incidence of vomiting and aspiration in adult patients who received general anaesthesia on regaining consciousness during the resuscitation period. OBJECTIVE: To systematically analyse the results of randomised controlled trials on early postoperative water intake in patients who underwent different types of surgery under general anaesthesia, both at home and abroad, to further explore the safety and application of early water intake and provide an evidence-based foundation for clinical application. DESIGN: Systematic review and meta-analysis. METHODS: To perform the systematic evaluation and meta-analysis, we searched the Web of Science, CINAHL, Embase, PubMed, Cochrane Library, Sinomed, China National Knowledge Infrastructure (CNKI), Wanfang, and Vipshop databases to identify randomised controlled trial studies on early water intake in adult patients who received general anaesthesia. RESULTS: Herein, we included 10 publications with a total sample size of 5131 patients. Based on statistical analysis, there was no statistically significant difference in the incidence of vomiting (odds ratio [OR] = 0.81; 95% confidence interval [CI] [0.58-1.12]; p = 0.20; I-squared [I2] = 0%) and aspiration (OR = 0.78; 95%CI [0.45-1.37]; p = 0.40; I2 = 0%) between the two groups of patients on regaining consciousness post-general anaesthesia. CONCLUSION: Based on the available evidence, early water intake after regaining consciousness post-anaesthesia did not increase the incidence of adverse complications when compared with traditional postoperative water abstinence. Early water intake could effectively improve patient thirst and facilitate the recovery of gastrointestinal function.

Machine learning-based prediction of the risk of moderate-to-severe catheter-related bladder discomfort in general anaesthesia patients: a prospective cohort study.

BACKGROUND: Catheter-related bladder discomfort (CRBD) commonly occurs in patients who have indwelling urinary catheters while under general anesthesia. And moderate-to-severe CRBD can lead to significant adverse events and negatively impact patient health outcomes. However, current screening studies for patients experiencing moderate-to-severe CRBD after waking from general anesthesia are insufficient. Constructing predictive models with higher accuracy using multiple machine learning techniques for early identification of patients at risk of experiencing moderate-to-severe CRBD during general anesthesia resuscitation. METHODS: Eight hundred forty-six patients with indwelling urinary catheters who were resuscitated in a post-anesthesia care unit (PACU). Trained researchers used the CRBD 4-level assessment method to evaluate the severity of a patient's CRBD. They then inputted 24 predictors into six different machine learning algorithms. The performance of the models was evaluated using metrics like the area under the curve (AUC). RESULTS: The AUCs of the six models ranged from 0.82 to 0.89. Among them, the RF model displayed the highest predictive ability, with an AUC of 0.89 (95%CI: 0.87, 0.91). Additionally, it achieved an accuracy of 0.93 (95%CI: 0.91, 0.95), 0.80 sensitivity, 0.98 specificity, 0.94 positive predictive value (PPV), 0.92 negative predictive value (NPV), 0.87 F1 score, and 0.07 Brier score. The logistic regression (LR) model has achieved good results (AUC:0.87) and converted into a nomogram. CONCLUSIONS: The study has successfully developed a machine learning prediction model that exhibits excellent predictive capabilities in identifying patients who may develop moderate-to-severe CRBD after undergoing general anesthesia. Furthermore, the study also presents a nomogram, which serves as a valuable tool for clinical healthcare professionals, enabling them to intervene at an early stage for better patient outcomes.

The relationship between uncertainty and acute procedure anxiety among surgical patients in Chinese mainland: the mediating role of resilience.

BACKGROUND: Surgery, as one of the main diagnostic and treatment methods, is a routine work in medical settings. Patients undergoing surgery often experience acute procedure anxiety due to uncertainty. There is ample evidence showing that uncertainty is a risk factor for the acute procedure anxiety in surgical patients. However, little is known about the psychological processes mediating this relationship. Therefore, this study aims to evaluate resilience as a mediator of the association between uncertainty and anxiety. METHODS: A population-based cross-sectional survey with a convenience sampling method was conducted, involving 243 surgical patients in Jiaxing, Zhejiang province of China was carried out. Relevant data were collected by self-reporting questionnaires, including demographic characteristics questionnaire, Amsterdam Preoperative Anxiety and Information Scale (APAIS-C), Mishel's Illness Uncertainty Scale (MUIS), Connor-Davidson Resilience Scale (CD-RISC). Pearson correlation analysis was employed to examine correlations between various variables. A path model was used to assess the mediation effect of resilience with respect to uncertainty and acute procedure anxiety. RESULTS: In the path model, uncertainty have an indirect effect on acute procedure anxiety through resilience. The results suggest that resilience has a mediating role in uncertainty and acute procedure anxiety among surgical patients. CONCLUSIONS: These findings call for the development of interventions targeting the role of resilience in effectively predicting and preventing acute procedure anxiety and uncertainty among surgical patients.

Sulfur-containing substances in sewers: Transformation, transportation, and remediation.

Sulfur-containing substances in sewers frequently incur unpleasant odors, corrosion-related economic loss, and potential human health concerns. These observations are principally attributed to microbial reactions, particularly the involvement of sulfate-reducing bacteria (SRB) in sulfur reduction process. As a multivalent element, sulfur engages in complex bioreactions in both aerobic and anaerobic environments. Organic sulfides are also present in sewage, and these compounds possess the potential to undergo transformation and volatilization. In this paper, a comprehensive review was conducted on the present status regarding sulfur transformation, transportation, and remediation in sewers, including both inorganic and organic sulfur components. The review extensively addressed reactions occurring in the liquid and gas phase, as well as examined detection methods for various types of sulfur compounds and factors affecting sulfur transformation. Current remediation measures based on corresponding mechanisms were presented. Additionally, the impacts of measures implemented in sewers on the subsequent wastewater treatment plants were also discussed, aiming to attain better management of the entire wastewater system. Finally, challenges and prospects related to the issue of sulfur-containing substances in sewers were proposed to facilitate improved management and development of the urban water system.