OBJECTIVE To establish the mechanism for monitoring,standardizing and alarming of relative risk factors to reflect the tendency of hospital infection.METHODS Data of hospital infection during six years were surveyed and analyzed completely.The prevalence baseline of hospital infection was chosen as the value to assess the control rate of hospital infection.The alarm value was set on the baseline.RESULTS The hospital infection revalence baseline and alarm value were used to assess the quality of infection control in whole hospital and each department objectively and accurately.These values could be also used to assess the effect of control of hospital infection among departments.They also could be used to survey the tendency of hospital infection and determine prevalence and outbreak of hospital infection.CONCLUSIONS Prevalence baseline and alarm value for hospital infection are valuable for preventing hospital infection and its outbreak.

Objective:To analyze the current prevalence of pre-diabetes (PDM) and its relationship with overweight and obesity in an adult health check-up population.Methods:This study was a cross-sectional and retrospective cohort study and was applied using whole-cluster random sampling method. A total of 491 379 adults who underwent health check-ups at the Health Management Centre of Sichuan Provincial People′s Hospital from January 2017 to July 2023 were selected to analyze the epidemiological characteristics of PDM and overweight-obesity, as well as the trend of change over time. A retrospective cohort study was conducted on 19 001 of the subjects who underwent≥3 health check-ups and did not have diabetes and PDM at baseline, and the relationships between body mass index, waist circumference and the risk for developing PDM were analyzed using Cox proportional risk regression models. And the dose-response relationship between body mass index, waist circumference and the risk for developing PDM was analyzed using restricted cubic spline regression (RCS).Results:Of the 491 379 cases included in the cross-sectional study, 275 084 were male and 216 295 were female, 163 158 cases were under 40 years old, and 328 221 cases were 40 years old and above; the total prevalence of PDM was 19.41% in 2017-2023, with an overall increasing trend. Of the 19 001 people included in the cohort study, a total of 2 487 (13.09%) new cases of PDM were identified at the end of follow-up. After adjusting for confounding factors, overweight ( HR=1.150, 95% CI: 1.047-1.263), obesity ( HR=1.335, 95% CI: 1.149-1.552) and abdominal obesity ( HR=1.218, 95% CI: 1.105-1.342) were risk factors for PDM. The risk of PDM rised with the increase of body mass index (>22.9 kg/m 2, Pnon-linear=0.973) and waist circumference (>80 cm, Pnon-linear=0.830), with a linear dose-response mode. In different gender and age groups, it was found the greater the body mass index (>24.1 kg/m 2 for men,>21.5 kg/m 2 for women;>23.3 kg/m 2 for age≥40 years,>24.1 kg/m 2 for age<40 years) and waist circumference (>85 cm for men, >73 cm for women; >82 cm for age ≥40 years, >85 cm for age <40 years), the higher the risk of PDM. Conclusions:The prevalence of PDM is on the rise in the adult health check-up population. To prevent PDM, it is necessary to control the body mass index and waist circumference to a lower level than the overweight and obesity standards.