Critical evaluation of established risk prediction models for acute respiratory distress syndrome in adult patients: A systematic review and meta-analysis.

AIM: To assess the performance of validated prediction models for acute respiratory distress syndrome (ARDS) by systematic review and meta-analysis. METHODS: Eight databases (Medline, CINAHL, Embase, The Cochrane Library, CNKI, WanFang Data, Sinomed, and VIP) were searched up to March 26, 2023. Studies developed and validated a prediction model for ARDS in adult patients were included. Items on study design, incidence, derivation methods, predictors, discrimination, and calibration were collected. The risk of bias was assessed by the Prediction model Risk of Bias Assessment Tool. Models with a reported area under the curve of the receiver operating characteristic (AUC) metric were analyzed. RESULTS: A total of 25 studies were retrieved, including 48 unique prediction models. Discrimination was reported in all studies, with AUC ranging from 0.701 to 0.95. Emerged AUC value of the logistic regression model was 0.837 (95% CI: 0.814 to 0.859). Besides, the value in the ICU group was 0.856 (95% CI: 0.812 to 0.899), the acute pancreatitis group was 0.863 (95% CI: 0.844 to 0.882), and the postoperation group was 0.835 (95% CI: 0.808 to 0.861). In total, 24 of the included studies had a high risk of bias, which was mostly due to the improper methods in predictor screening (13/24), model calibration assessment (9/24), and dichotomization of continuous predictors (6/24). CONCLUSIONS: This study shows that most prediction models for ARDS are at high risk of bias, and the discrimination ability of the model is excellent. Adherence to standardized guidelines for model development is necessary to derive a prediction model of value to clinicians.

[Effect of reinforced health education on deep radiofrequency thermotherapy for patients with tumor].

OBJECTIVE: To explore the effect of reinforced health education on deep radiofrequency thermotherapy for patients with tumor. METHODS: From June 2012 to June 2014, 106 patients who underwent deep radiofrequency thermotherapy in our hospital were randomly selected, and were divided into a control group (n=69) and an observation group (n=65). The observation group received reinforced health education while the control group received the traditional health education before treatment. Th e reinforced health education included preparation, cooperation and health behavior during and aft er treatment. Th en the compliance rate, degree of satisfaction, and the awareness rate of related knowledge were compared and analyzed aft er treatment between the 2 groups. RESULTS: Th e compliance rate in the observation group and the control group was 85.51% and 63.08% respectively; there was significant difference in the awareness rates of related knowledge and the overall degree of satisfaction between the patients and their family members (all P<0.05). CONCLUSION: Implement of reinforced health education is benefit to patients to understand the content of health education before treatment and keep health behavior after treatment, and can also improve the compliance, the degree of satisfaction in the deep radiofrequency thermotherapy for patients with tumor.