Risk factors and prediction model of severe pertussis in infants < 12 months of age in Tianjin, China
© 2021. The Author(s)..
BACKGROUND: To identify risk factors associated with the prognosis of pertussis in infants (< 12 months).
METHODS: A 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.
RESULTS: 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 = 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%.
CONCLUSIONS: The findings indicated risk factor prediction models may be useful for the early identification of severe pertussis in infants.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
BMC infectious diseases - 22(2022), 1 vom: 04. Jan., Seite 24 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Cui [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 06.01.2022 Date Revised 08.01.2022 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12879-021-07001-x |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM335188311 |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a BACKGROUND: To identify risk factors associated with the prognosis of pertussis in infants (< 12 months) | ||
| 520 | |a METHODS: A 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 | ||
| 520 | |a RESULTS: 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 = 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% | ||
| 520 | |a CONCLUSIONS: The findings indicated risk factor prediction models may be useful for the early identification of severe pertussis in infants | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Infant | |
| 650 | 4 | |a Pertussis | |
| 650 | 4 | |a Risk factors | |
| 650 | 4 | |a Whooping cough | |
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| 700 | 1 | |a Wang, Zhe |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Li |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Yuejie |e verfasserin |4 aut | |
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