Objective To investigate prevalence of metabolic syndrome (MS) in population at high-risk for diabetes in Changfeng community of Shanghai. Methods Totally, 982 persons aged 40-79 years without previous history of diabetes, but with risk factors for diabetes from Changfeng community in Shanghai were screened by questionnaire, physical examinations, lipid profile and oral glucose tolerance test. Prevalence of MS and its clinical characteristic were observed. Results Overall prevalence of MS was 44. 6% (438/982) in Changfeng community, significantly higher in women of 48.6% (341/701) than that in men of 34. 5% (97/281) (P<0.01). Prevalence of MS increased with age in women (P <0. 01 ), but not in men (P>0.05). Components of MS ranking from high to low were hypertension of 66. 5% (653/982), abdominal obesity of 62.8% (617/982), decreased high-density lipoprotein-cholesterol (HDL-C) of 49. 4% (485/982), increased triglyceride (TG) of 46. 0% (452/982) and increased fasting glucose of 35.7% (351/982). There were 55.9% (245/438) of MS patients with three or more MS components in addition to abdominal obesity. Conclusions Prevalence of MS is higher in community population at high-risk for diabetes and more than half of the MS patients have three or more risk factors for cardiovascular disease.

Objective:To analyze the application effect of health failure mode and effect analysis (HFMEA) model in patients with artificial airways in the cardiovascular surgery intensive care unit (CSICU) by establishing a HFMEA project team, and to develop targeted improvement measures and processes.Methods:The patients undergoing cardiovascular surgeries and with established artificial airways in the Shandong Provincial Hospital Affiliated to Shandong First Medical University were recruited from October 2021 to March 2022. The enrolled patients were divided into the conventional management group and the HFMEA model management group according to random number table method. The conventional management group applied the conventional procedures for monitoring the air bag pressure. The HFMEA model management group used the HFMEA model to implement and improve the airbag pressure monitoring process. The efficacy of HFMEA was assessed by comparing the incidence of ventilator-associated pneumonia (VAP), the pass rate of airbag pressure monitoring, the duration of endotracheal intubation and the length of CSICU stay between two groups. The practicability of HFMEA model was evaluated by analyzing the theoretical assessment scores and practical skill scores of nurses and their satisfaction scores with HFMEA.Results:Compared with the conventional management group, the patients in the HFMEA mode management group had a significantly higher rate of passing airbag pressure monitoring [94.99% (2 994/3 152) vs. 69.97% (1 626/2 324), P < 0.01], shorter duration of endotracheal intubation and length of CSICU stay [duration of endotracheal intubation (hours): 6 (7, 12) vs. 6 (8, 13), length of CSICU stay (hours): 40 (45, 65) vs. 41 (46, 85), both P < 0.05], but the incidences of VAP between the two groups were similar. The theoretical assessment scores and practical skill scores of nurses were significantly higher (theoretical assessment score: 44.47±2.72 vs. 37.59±6.56, practical skill score: 44.56±2.66 vs. 40.03±4.32, total score: 89.03±3.07 vs. 77.63±9.56, all P < 0.05) in the HFMEA mode management group. And the satisfaction scores with airbag pressure management were also significantly higher in the HFMEA mode management group (7.72±1.11 vs. 6.44±1.32, P < 0.05). Conclusions:The application of the HFMEA can improve the airbag pressure measures and standardize the monitoring procedures in patients with artificial airways, and reduce the risk of clinical nursing. It is safe and effective for patients with invasive mechanical ventilation in the CSICU.