The modified early warning score (MEWS), as a rapid assessment and early warning scoring tool, has been widely used in patients in China, which can help nurses to identify potentially critical patients early, but not in all clinical fields. Through the retrieval of the relevant literature of the clinical application of the MEWS in Wanfang Medical Database from 2011 to 2018, the SWOT analysis was used in this paper [strength (S), weakness (W), opportunities (O) and threats (T)] methods, to systematically analyze the advantages, problems existence, implementation opportunities and challenges in the clinical application of the MEWS in our country. The purpose of this study was to obtain the best cut-off value of MEWS in different diseases and to formulate standard early-warning intervention measures for MEWS, which may provide reference for clinical workers to carry out relevant research.

Objective To compare the Modified Early Warning Score(MEWS),blood glucose value score and the two scores combined with the ability to predict the prognosis of patients with acute complication of diabetes mellitus,and to explore the most suitable assessment tools. Methods 419 patients with acute complica-tions were collected in diabetic mellitus. To put the admission time as the inital observation point,MEWS score, blood glucose value score and MEWS combined with blood glucose value were assessed and compared between the time point of admission and discharge by ROC curve.Results Using death as a prediction index,MEWS score of subjects operating characteristic area under the curve of AUCROC was 0.875 and the optimal cut-off value of was over 4 in the sensitivity of 78.43%,specificity of 85.60%,the positive predictive valueof 43.01% and the negative predictive value of 96.63% independently. The average score of blood glucose area under ROC curve AUCROC was 0.681 and the optimal cut-off value was 2 in the sensitivity of 50.98%,the specificity of 85.33% the positive predictive value of 73.4% and negative predictive value of 67.5% respectively. Two scores combined with area under ROC curve AUCROCwas 0.982,and the optimal cut-off value was over 7 in the sensitivity of 94.12%,the specificity of 95.65%,the positive predictive value of 75% and the negative predictive value of 99.15% individually. Conclusion For predicting the prognosis of patients with acute complications of diabetes,the combined scores are better than the pure MEWS score and blood glucose value.It is worth of clinical application.

Background The decline of physical activity in the elderly due to aging may increase the risk of sarcopenia. Currently, there is a lack of evidence from large natural populations on the relationship between PA and sarcopenia. Objective To explore the relationship between PA and sarcopenia in the elderly aged 60 years and above in 10 provinces (autonomous regions) of China. Methods Data were retrieved from the 2022—2023 round of the China Development and Nutrition Health Impact Cohort. Personal basic information and PA data were collected by questionnaire survey. Skeletal muscle mass was measured by bio-electrical impedance analysis, muscle strength was measured using a grip dynamometer, and physical performance was reflected by 6-meter walk speed. The Asian Working Group for Sarcopenia (AWGS) 2019 criteria were used to diagnose sarcopenia. Light physical activity (LPA) duration, moderate-to-vigorous physical activity (MVPA) duration, and total physical activity volume were calculated. A total of 3326 residents aged ≥60 years with complete data were selected as the survey participants. Multiple logistic regression models and restricted cubic splines (RCS) were used to assess the association between PA duration/volume and sarcopenia. Results In 10 provinces (autonomous regions) of China, the prevalence of sarcopenia in the elderly aged 60 years and above was 5.5% (95%CI: 4.7%, 6.2%). The logistic regression analysis showed that compared with the elderly reporting 0-7.0 h·week⁻¹ in LPA duration, the risk of sarcopenia in the elderly with LPA duration of >14.0-21.0 h·week⁻¹ was reduced by 51% (OR=0.49, 95%CI: 0.26, 0.96). Compared with the elderly with total physical activity ≥15.0 metabolic equivalent of task (MET)-h·week⁻¹, those with <7.5 MET-h·week⁻¹ had a 2.24-fold increased risk of sarcopenia (OR=2.24, 95%CI: 1.17, 4.29). The RCS results found that LPA duration and total physical activity volume each showed a nonlinear dose-response relationship with the risk of sarcopenia (P_overall<0.05, P_non-linear<0.05). Compared with the elderly with an LPA duration of 0 h· week⁻¹, the risk of sarcopenia in the elderly with an LPA duration of 12.6 h· week⁻¹ was the lowest (OR=0.42, 95%CI: 0.21, 0.83). Compared with the elderly with a total physical activity volume of 15.0 MET-h· week⁻¹, the elderly with a total physical activity volume of 46.0 MET-h· week⁻¹ had the lowest risk of sarcopenia (OR=0.57, 95%CI: 0.38, 0.84). There was no statistically significant association between weekly MVPA duration and the risk of sarcopenia (P>0.05). Conclusion Increasing weekly LPA duration and total physical activity volume would help to reduce the risk of sarcopenia.