ArticleBMC infectious diseases2022
Risk factors and prediction model of severe pertussis in infants < 12 months of age in Tianjin, China.
Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Influencing factors for severe pertussis among Chinese children: A meta-analysis.Human vaccines & immunotherapeutics · 2026Pooled it
- Variability in the Diagnostic Criteria for Severe Pertussis: A Systematic Review.JAMA network open · 2026Pooled it
- Pertussis infection in critically ill infants: meta-analysis and validation of a mortality score.Critical care (London, England) · 2025Pooled it
- Seroprevalence of IgG antibodies against pertussis toxin in the Chinese population: A systematic review and meta-analysis.Human vaccines & immunotherapeutics · 2024Pooled it
- Early risk stratification for ICU admission in hospitalized children with pertussis: development and internal validation of an admission-time prediction model.BMC infectious diseases · 2026Article
- Preliminary epidemiological and clinical profile of the 2024 pediatric pertussis outbreak: a retrospective analysis.Frontiers in pediatrics · 2026Article
- Clinical characteristics and macrolide resistance analysis of pertussis in children: a retrospective study.Frontiers in public health · 2026Article
- Clinical characteristics of pertussis in infants and risk factors for respiratory support.Annals of medicine · 2025Article
- Retrospective analysis of 104 cases of pediatric severe pertussis in Southern China.BMC infectious diseases · 2025Article
- Clinical characteristics and prognosis of exchange transfusion in infants with severe pertussis.BMC pediatrics · 2025Article
- Clinical and immunological predictors of severe pertussis in children: a nomogram-based prediction model.BMC infectious diseases · 2025Article
- Sources and clinical characteristics of infant pertussis in China: increasing contribution of siblings.BMC infectious diseases · 2025Article
- Epidemiological and clinical characteristics of children with pertussis: a 6-year retrospective cohort study in Chengdu, China.Frontiers in pediatrics · 2025Article
- Epidemiology of pertussis in Saudi Arabia (2006-2023): regional variations and COVID-19 effects.Frontiers in public health · 2025Article
- Severe pertussis in infants: a scoping review.Annals of medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundTo identify risk factors associated with the prognosis of pertussis in infants (< 12 months).
methodsA retrospective study on infants hospitalized with pertussis January 2017 to June 2019. 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.
resultsFinally, 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 = 63; non-severe pertussis group, n = 189) were randomly selected for univariate and multivariate logistic regression analysis. The results showed rural area [P = 0.002, OR = 6.831, 95% CI (2.013-23.175)], hospital stay (days) [P = 0.002, OR = 1.304, 95% CI (1.107-1.536)], fever [P = 0.040, OR = 2.965, 95% CI (1.050-8.375)], cyanosis [P = 0.008, OR = 3.799, 95% CI (1.419-10.174)], pulmonary rales [P = 0.021, OR = 4.022, 95% CI (1.228-13.168)], breathing heavily [P = 0.001, OR = 58.811, 95% CI (5.503-628.507)] and abnormal liver function [P < 0.001, OR = 9.164, 95% CI (2.840-29.565)] were independent risk factors, and higher birth weight [P = 0.006, OR = 0.380, 95% CI (0.191-0.755)] 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%.
conclusionsThe findings indicated risk factor prediction models may be useful for the early identification of severe pertussis in infants.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.