Development and validation of the predictive score for pediatric COVID-19 pneumonia: A nationwide, multicenter study

Araya Satdhabudha, Chanapai Chaiyakulsil, Rattapon Uppala, Watit Niyomkarn, Prakarn Tovichien, Vasinee Norasettekul, Kanokpan Ruangnapa, Chutima Smathakanee, Bararee Choursamran, Aunya Kulbun, Rasintra Jaroenying, Harutai Kamalaporn, Tidarat Sriboonyong, Koonkoaw Roekworachai, Kanokkarn Sunkonkit, Auchara Tangsathapornpong, Pornumpa Bunjoungmanee, Wanida Pao-in, Patcharapa Thaweekul, Pichaya Tantiyavarong, Thanyarat Ratanavongkosol, Chutima Thongnual, Paskorn Sritipsukho and Jitladda Deerojanawong

PLOS ONE, 2022, vol. 17, issue 8, 1-12

Abstract: Background: Due to the possibility of asymptomatic pneumonia in children with COVID-19 leading to overexposure to radiation and problems in limited-resource settings, we conducted a nationwide, multi-center study to determine the risk factors of pneumonia in children with COVID-19 in order to create a pediatric pneumonia predictive score, with score validation. Methods: This was a retrospective cohort study done by chart review of all children aged 0–15 years admitted to 13 medical centers across Thailand during the study period. Univariate and multivariate analyses as well as backward and forward stepwise logistic regression were used to generate a final prediction model of the pneumonia score. Data during the pre-Delta era was used to create a prediction model whilst data from the Delta one was used as a validation cohort. Results: The score development cohort consisted of 1,076 patients in the pre-Delta era, and the validation cohort included 2,856 patients in the Delta one. Four predictors remained after backward and forward stepwise logistic regression: age

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0273842

DOI: 10.1371/journal.pone.0273842

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