Suppr超能文献

俄罗斯联邦莫斯科地区医护人员和孕妇的白喉、破伤风和百日咳免疫力:一项初步横断面研究。

Diphtheria, tetanus, and pertussis immunity among healthcare professionals and pregnant women in the Moscow region, Russian federation: A preliminary cross-sectional study.

作者信息

Basov Artem A, Zhernov Yury V, Kashutina Maria I, Kashkovskaya Natalia N, Kombarova Svetlana Yu, Enilenis Inga I, Severova Lyudmila P, Fadeeva Inna A, Vysochanskaya Sonya O, Belova Elena V, Shashina Ekaterina A, Makarova Valentina V, Shcherbakov Denis V, Skopin Anton Yu, Mitrokhin Oleg V

机构信息

Diphtheria and Pertussis Surveillance Laboratory, G.N. Gabrichevsky Research Institute for Epidemiology and Microbiology, Moscow, Russia.

Department of General Hygiene, F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.

出版信息

Front Pediatr. 2023 Feb 21;11:1043707. doi: 10.3389/fped.2023.1043707. eCollection 2023.

Abstract

Despite more than 50 years of primary immunization against diphtheria, pertussis, and tetanus in Russia, complicated illnesses, including fatal ones, still occur. The goal of this preliminary cross-sectional study is to see how well pregnant women and healthcare workers are protected against diphtheria, pertussis, and tetanus. The required sample size (pregnant women and healthcare professionals, as well as pregnant women of two age categories) for this preliminary cross-sectional study was calculated using a confidence value of 0.95 and a probability of 0.05. The required number of participants in each group calculated sample size must be at least 59 people. In the Moscow region (Solnechnogorsk city, Russia), a cross-sectional study of pregnant patients and healthcare professionals interacting with children regularly as part of their job from numerous medical organizations was conducted in the year 2021 ( = 655). Antibodies to diphtheria, tetanus, and pertussis toxoids and microorganisms were measured using an enzyme-linked immunosorbent assay (ELISA). The STATISTICA and IBM SPSS Statistics 26.0 were used to process the study results statistically. Descriptive statistics methods, the Mann-Whitney -test, discriminant analysis with the stepwise selection and analysis of ROC-curves were applied. IgG against diphtheria was found in 99.5% of pregnant women, tetanus in 91.5%, and pertussis in only 36.5%. According to the results of the discriminant analysis, the value of IgG to pertussis is linked to the value of IgA to pertussis and the gestational periods. Immunity to diphtheria was discovered in 99.1% of medical personnel, tetanus in 96.9%, and pertussis in 43.9%, no significant variations with age. When comparing the levels of immunity of pregnant women and healthcare professionals, it was shown that healthcare workers have greater levels of immunity against diphtheria and tetanus. The novel contribution of this study is that it will reveal the proportion of those vulnerable to pertussis, diphtheria, and tetanus among health workers and pregnant women in all age groups under the current national immunization program in Russia. Considering the data obtained from the preliminary cross-sectional study, we believe that it is necessary to conduct a full-scale study on a larger sample and, based on that, make certain changes to the national immunization program in Russia.

摘要

尽管俄罗斯开展白喉、百日咳和破伤风基础免疫已有50多年,但包括致命疾病在内的复杂病症仍有发生。这项初步横断面研究的目的是了解孕妇和医护人员对白喉、百日咳和破伤风的免疫保护情况。本初步横断面研究所需的样本量(孕妇、医护人员以及两个年龄组别的孕妇)采用95%的置信度和5%的概率进行计算。计算得出每组所需参与者数量至少为59人。2021年,在莫斯科地区(俄罗斯索尔涅奇诺戈尔斯克市),对来自众多医疗机构、日常工作中经常与儿童接触的孕妇患者和医护人员开展了一项横断面研究(n = 655)。采用酶联免疫吸附测定(ELISA)法检测白喉、破伤风和百日咳类毒素及微生物的抗体。研究结果采用STATISTICA和IBM SPSS Statistics 26.0进行统计学处理。应用了描述性统计方法、曼-惠特尼U检验、逐步选择判别分析以及ROC曲线分析。99.5%的孕妇检测到抗白喉IgG,91.5%检测到抗破伤风IgG,而抗百日咳IgG仅为36.5%。根据判别分析结果,抗百日咳IgG的值与抗百日咳IgA的值和妊娠期有关。99.1%的医护人员对白喉免疫,96.9%对破伤风免疫,43.9%对百日咳免疫,年龄差异无统计学意义。比较孕妇和医护人员的免疫水平发现,医护人员对白喉和破伤风的免疫水平更高。本研究的新贡献在于,它将揭示在俄罗斯现行国家免疫规划下,所有年龄组的医护人员和孕妇中易患百日咳、白喉和破伤风的人群比例。考虑到初步横断面研究获得的数据,我们认为有必要对更大样本进行全面研究,并在此基础上对俄罗斯国家免疫规划做出某些调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7033/9989173/4502feffff66/fped-11-1043707-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验