tetano
Editor, Senior Moderator
J Int Med Res
. 2023 Feb;51(2):3000605231153768.
doi: 10.1177/03000605231153768.
Development of a nomogram for severe influenza in previously healthy children: a retrospective cohort study
Wenyun Huang[SUP] 1 2 [/SUP], Wensi Niu[SUP] 2 [/SUP], Hongmei Chen[SUP] 1 [/SUP], Wujun Jiang[SUP] 2 [/SUP], Yanbing Fu[SUP] 1 2 [/SUP], Xiuxiu Li[SUP] 1 2 [/SUP], Minglei Li[SUP] 1 2 [/SUP], Jun Hua[SUP] 1 2 [/SUP], Chunxia Hu[SUP] 2 [/SUP]
Affiliations
Abstract
Objective: We aimed to develop a nomogram to predict the risk of severe influenza in previously healthy children.
Methods: In this retrospective cohort study, we reviewed the clinical data of 1135 previously healthy children infected with influenza who were hospitalized in the Children's Hospital of Soochow University between 1 January 2017 and 30 June 2021. Children were randomly assigned in a 7:3 ratio to a training or validation cohort. In the training cohort, univariate and multivariate logistic regression analyses were used to identify risk factors, and a nomogram was established. The validation cohort was used to evaluate the predictive ability of the model.
Result: Wheezing rales, neutrophils, procalcitonin > 0.25 ng/mL, Mycoplasma pneumoniae infection, fever, and albumin were selected as predictors. The areas under the curve were 0.725 (95% CI: 0.686-0.765) and 0.721 (95% CI: 0.659-0.784) for the training and validation cohorts, respectively. The calibration curve showed that the nomogram was well calibrated.
Conclusion: The nomogram may predict the risk of severe influenza in previously healthy children.
Keywords: Severe influenza; child; diagnose; nomogram; predictor model; risk factor.
. 2023 Feb;51(2):3000605231153768.
doi: 10.1177/03000605231153768.
Development of a nomogram for severe influenza in previously healthy children: a retrospective cohort study
Wenyun Huang[SUP] 1 2 [/SUP], Wensi Niu[SUP] 2 [/SUP], Hongmei Chen[SUP] 1 [/SUP], Wujun Jiang[SUP] 2 [/SUP], Yanbing Fu[SUP] 1 2 [/SUP], Xiuxiu Li[SUP] 1 2 [/SUP], Minglei Li[SUP] 1 2 [/SUP], Jun Hua[SUP] 1 2 [/SUP], Chunxia Hu[SUP] 2 [/SUP]
Affiliations
- PMID: 36802862
- DOI: 10.1177/03000605231153768
Abstract
Objective: We aimed to develop a nomogram to predict the risk of severe influenza in previously healthy children.
Methods: In this retrospective cohort study, we reviewed the clinical data of 1135 previously healthy children infected with influenza who were hospitalized in the Children's Hospital of Soochow University between 1 January 2017 and 30 June 2021. Children were randomly assigned in a 7:3 ratio to a training or validation cohort. In the training cohort, univariate and multivariate logistic regression analyses were used to identify risk factors, and a nomogram was established. The validation cohort was used to evaluate the predictive ability of the model.
Result: Wheezing rales, neutrophils, procalcitonin > 0.25 ng/mL, Mycoplasma pneumoniae infection, fever, and albumin were selected as predictors. The areas under the curve were 0.725 (95% CI: 0.686-0.765) and 0.721 (95% CI: 0.659-0.784) for the training and validation cohorts, respectively. The calibration curve showed that the nomogram was well calibrated.
Conclusion: The nomogram may predict the risk of severe influenza in previously healthy children.
Keywords: Severe influenza; child; diagnose; nomogram; predictor model; risk factor.