高危妊娠的主要预测因素趋势

T. Tatarchuk, R. Marushko, O. Dudina
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Structured by individual components of the IA of the main predictors of HRP, it was carried out according to the generally accepted methodology of comprehensive assessment of the health status of the population based on integral indicators. The interpretation of the results of IA was based on the fact that the higher the integral indicator, the greater the risk of developing HRP. The methods of a systemic approach, structural-logical, epidemiological analysis were used. mathematical, modeling. Results. Analytical data show that in recent years in Ukraine, the levels of maternal and perinatal morbidity and mortality have remained high despite a multidirectional trend, a significant part of which could have been prevented by identifying and minimizing predictors of HRP. The analysis of the state of the main predictors of the development of HRP revealed high levels of the birth rate of young (5.21‰) and older (7.86 ‰) women with an increase in their total contribution to the total birth rate from 9.5% in 2010 to 16.29% in 2021, the rate of growth is 71.5%, insufficient with a negative trend of coverage of pregnant women by dispensary supervision and examination by a therapist (90.7% in 2010 and 87.82% in 2021, the rate of loss is 3.9% and 90.83%, 89.51% and 9.9% respectively). During this period, the frequency of diseases and complications of the gestational period remains high - anemia (26.4% in 2010, 24.75% in 2021, growth rate - 6.5%), diseases of the circulatory system (6.2-6.34% and 2.3%), diseases of the genitourinary system (14.05-14.03% and -2.4%), diabetes (0.17-0.96% and 452.9%), diseases of the thyroid gland (9.65, 9.2% and 1.76%), preeclampsia and eclampsia (2.31-2.1% and -9.1%), preeclampsia (6.65-6.7% and 0.8%) and venous complications (2.84-4.98% and 69.0%). The complex IA of the main predictors of HRP was carried out by dividing the regions into 3 groups - the Group I with a high risk of IA development (IA - 131.1-111.9%), the Group II with an average risk of IA development (106.5-92.0%) and the III group with a lower than average risk of HRP development (89.6-60.3%). The city of Kyiv is included in the 1st group of regions that require a detailed study and correction of the determinants of HRP, Vinnytsia, Poltava, Dnipropetrovsk, Kyiv, Chernihiv and Chernivtsi, to the 2nd group of regions with an average risk of developing HRP, that require strengthening of individual components of medical and social care for pregnant women - Volyn, Mykolaiv, Donetsk, Rivne, Kharkiv, Lviv, Zhytomyr, Cherkasy, Khmelnytskyi and Transcarpathian regions. Conclusions. The toolkit of IA of the main determinants of HRP has been developed, that makes it possible to provide an objective assessment of them as a whole and by individual components across regions and timely identification of problems that require intervention. 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A comprehensive retrospective analysis, a general characterization of the dynamics and regional features of the integral assessment of the main predictors of HRP based on the data of the State Statistics Service of Ukraine and the Medical Statistics Center of the Ministry of Health of Ukraine, was carried out. Structured by individual components of the IA of the main predictors of HRP, it was carried out according to the generally accepted methodology of comprehensive assessment of the health status of the population based on integral indicators. The interpretation of the results of IA was based on the fact that the higher the integral indicator, the greater the risk of developing HRP. The methods of a systemic approach, structural-logical, epidemiological analysis were used. mathematical, modeling. Results. 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引用次数: 0

摘要

任何国家社会的可持续发展在很大程度上取决于孕妇的健康,孕妇的健康决定着胎儿在个体发育各个阶段的生存能力和健康。目的:对乌克兰2010-2021年高危妊娠(HRP)主要预测因素进行分析、变化趋势和综合评估(IA)。材料和方法。根据乌克兰国家统计局和乌克兰卫生部医学统计中心的数据,进行了全面的回顾性分析,对HRP主要预测因素综合评估的动态和区域特征进行了总体描述。该调查是根据普遍接受的以综合指标为基础对人口健康状况进行综合评估的方法,根据HRP主要预测因素的内部各组成部分进行的。对IA结果的解释是基于积分指标越高,发生HRP的风险越大。采用系统方法、结构逻辑分析和流行病学分析。数学建模。结果。分析数据显示,近年来在乌克兰,尽管出现了多向趋势,但产妇和围产期发病率和死亡率的水平仍然很高,其中很大一部分可以通过查明和尽量减少HRP的预测因素来预防。分析发展的主要预测因子的状态合显示高水平的年轻的出生率(5.21‰)及以上(7.86‰)妇女与她们的总贡献总生育率从2010年的9.5%到2021年的16.29%,增长速度为71.5%,不足的负面趋势报道孕妇的药房监督检查由治疗师(2021年90.7%,2010年87.82%,损失是3.9%和90.83%,89.51%, 9.9%)。在此期间,妊娠期疾病和并发症的发病率仍然很高——贫血(2010年为26.4%,2021年为24.75%,增长率为6.5%)、循环系统疾病(6.2-6.34%和2.3%)、泌尿生殖系统疾病(14.05-14.03%和-2.4%)、糖尿病(0.17-0.96%和452.9%)、甲状腺疾病(9.65%、9.2%和1.76%)、先兆子痫和子痫(2.31-2.1%和-9.1%)、子痫前期(6.65 ~ 6.7%)和静脉并发症(2.84 ~ 4.98%)(69.0%)。将HRP主要预测因子的综合IA分为3组,即IA发生风险高的I组(IA - 131.1-111.9%)、IA发生风险平均的II组(106.5-92.0%)和低于HRP发生风险平均的III组(89.6-60.3%)。基辅市被列入需要详细研究和纠正HRP决定因素的第一组地区,包括文尼察、波尔塔瓦、第聂伯罗彼得罗夫斯克、基辅、切尔尼耶夫和切尔尼夫西;第二组地区有发展HRP的平均风险,需要加强对孕妇的医疗和社会护理的个别组成部分,包括沃林、尼古拉耶夫、顿涅茨克、里夫涅、哈尔科夫、利沃夫、日托米尔、切尔卡西、赫梅利尼茨基和外喀尔巴阡地区。结论。已编制了关于HRP主要决定因素的内部评估工具包,从而能够对它们进行整体和跨区域的个别组成部分的客观评估,并及时查明需要干预的问题。作者未声明存在利益冲突。
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Trends in major predictors of high-risk pregnancy
The sustainable development of the society of any country is largely determined by the health of pregnant women, which determines the viability and health of the offspring at all stages of ontogenesis. Purpose - to conduct an analysis, change trends, and an integrated assessment (IA) of the main predictors of high-risk pregnancy (HRP) in Ukraine in 2010-2021. Materials and methods. A comprehensive retrospective analysis, a general characterization of the dynamics and regional features of the integral assessment of the main predictors of HRP based on the data of the State Statistics Service of Ukraine and the Medical Statistics Center of the Ministry of Health of Ukraine, was carried out. Structured by individual components of the IA of the main predictors of HRP, it was carried out according to the generally accepted methodology of comprehensive assessment of the health status of the population based on integral indicators. The interpretation of the results of IA was based on the fact that the higher the integral indicator, the greater the risk of developing HRP. The methods of a systemic approach, structural-logical, epidemiological analysis were used. mathematical, modeling. Results. Analytical data show that in recent years in Ukraine, the levels of maternal and perinatal morbidity and mortality have remained high despite a multidirectional trend, a significant part of which could have been prevented by identifying and minimizing predictors of HRP. The analysis of the state of the main predictors of the development of HRP revealed high levels of the birth rate of young (5.21‰) and older (7.86 ‰) women with an increase in their total contribution to the total birth rate from 9.5% in 2010 to 16.29% in 2021, the rate of growth is 71.5%, insufficient with a negative trend of coverage of pregnant women by dispensary supervision and examination by a therapist (90.7% in 2010 and 87.82% in 2021, the rate of loss is 3.9% and 90.83%, 89.51% and 9.9% respectively). During this period, the frequency of diseases and complications of the gestational period remains high - anemia (26.4% in 2010, 24.75% in 2021, growth rate - 6.5%), diseases of the circulatory system (6.2-6.34% and 2.3%), diseases of the genitourinary system (14.05-14.03% and -2.4%), diabetes (0.17-0.96% and 452.9%), diseases of the thyroid gland (9.65, 9.2% and 1.76%), preeclampsia and eclampsia (2.31-2.1% and -9.1%), preeclampsia (6.65-6.7% and 0.8%) and venous complications (2.84-4.98% and 69.0%). The complex IA of the main predictors of HRP was carried out by dividing the regions into 3 groups - the Group I with a high risk of IA development (IA - 131.1-111.9%), the Group II with an average risk of IA development (106.5-92.0%) and the III group with a lower than average risk of HRP development (89.6-60.3%). The city of Kyiv is included in the 1st group of regions that require a detailed study and correction of the determinants of HRP, Vinnytsia, Poltava, Dnipropetrovsk, Kyiv, Chernihiv and Chernivtsi, to the 2nd group of regions with an average risk of developing HRP, that require strengthening of individual components of medical and social care for pregnant women - Volyn, Mykolaiv, Donetsk, Rivne, Kharkiv, Lviv, Zhytomyr, Cherkasy, Khmelnytskyi and Transcarpathian regions. Conclusions. The toolkit of IA of the main determinants of HRP has been developed, that makes it possible to provide an objective assessment of them as a whole and by individual components across regions and timely identification of problems that require intervention. No conflict of interests was declared by the authors.
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