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The infants were divided into two groups according to the severity of disease: severe pertussis and non-severe pertussis groups. We collected all case data from medical records including socio-demographics, clinical manifestations, and auxiliary examinations. Univariate analysis and Logistic regression were used.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Finally, a total of 84 infants with severe pertussis and 586 infants with non-severe pertussis were admitted. The data of 75% of the cases (severe pertussis group, n\u2009=\u200963; non-severe pertussis group, n\u2009=\u2009189) were randomly selected for univariate and multivariate logistic regression analysis. The results showed rural area [P\u2009=\u20090.002, OR\u2009=\u20096.831, 95% CI (2.013\u201323.175)], hospital stay (days) [P\u2009=\u20090.002, OR\u2009=\u20091.304, 95% CI (1.107\u20131.536)], fever [P\u2009=\u20090.040, OR\u2009=\u20092.965, 95% CI (1.050\u20138.375)], cyanosis [P\u2009=\u20090.008, OR\u2009=\u20093.799, 95% CI (1.419\u201310.174)], pulmonary rales [P\u2009=\u20090.021, OR\u2009=\u20094.022, 95% CI (1.228\u201313.168)], breathing heavily [P\u2009=\u20090.001, OR\u2009=\u200958.811, 95% CI (5.503\u2013628.507)] and abnormal liver function [P\u2009&lt;\u20090.001, OR\u2009=\u20099.164, 95% CI (2.840\u201329.565)] were independent risk factors, and higher birth weight [P\u2009=\u20090.006, OR\u2009=\u20090.380, 95% CI (0.191\u20130.755)] was protective factor for severe pertussis in infants. The sensitivity and specificity of logistic regression model for remaining 25% data of severe group and common group were 76.2% and 81.0%, respectively, and the consistency rate was 79.8%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The findings indicated risk factor prediction models may be useful for the early identification of severe pertussis in infants.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12879-021-07001-x","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T06:05:09Z","timestamp":1641276309000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Risk factors and prediction model of severe pertussis in infants &lt; 12\u00a0months of age in Tianjin, China"],"prefix":"10.1186","volume":"22","author":[{"given":"Cui","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanmei","family":"Zong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejie","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,4]]},"reference":[{"issue":"3","key":"7001_CR1","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.pop.2018.05.003","volume":"45","author":"VTN Nguyen","year":"2018","unstructured":"Nguyen VTN, Simon L. 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