Epidemiological characteristics of high-risk pregnant women in Liangxi district,Wuxi city from 2019 to 2023
Objective:To analyze the epidemiological characteristics of high-risk pregnant women in Liangxi Dis-trict of Wuxi City from 2019 to 2023,so as to provide a reference for regulating the management of high-risk preg-nant women.Methods:Based on the maternal and Child Health Information System of Jiangsu province,the char-acteristics and pregnancy risk information of high-risk pregnant women in Liangxi district of Wuxi city from 2019 to 2023 were collected to analyze the trends of high-risk pregnancy incidence,pregnancy risk grade,population char-acteristics and pregnancy risk factor characteristics.Results:From 2019 to 2023,the incidence of high-risk preg-nant women in Liangxi District increased year by year,with an average of 75.428％.The pregnancy risk was main-ly yellow,and the proportion of orange and red risk increased year by year.The upward trends of elderly high-risk pregnant women(≥35)and gave birth by cesarean section had reversed since 2021,and picked up significantly in 2023;the proportion of young high-risk pregnant women(≤18 years old)remained low.In the past five years,the proportion of high-risk pregnant women who completed the initial antenatal examination within 13 weeks or more than 10 antenatal examinations increased year by year;the top 10 types of pregnancy risk factors had changed a lit-tle,and the top three in 2023 were abnormal body mass index,anemia,and diabetes.Conclusion:From 2019 to 2023,the incidence of high-risk pregnant women in Liangxi District increased year by year,and the pregnancy risk grade tended to be complicated;the characteristics of age,delivery mode and major pregnancy risk factors were changed.The health management of high-risk pregnant women was gradually standardized;Liangxi district should adjust the direction of high-risk pregnancy management according to the current situation,and take corresponding intervention measures according to the difficulties and weaknesses.
NETL
NSTL
万方数据
