Developing a model for predicting impairing physical symptoms in children... after SARS-CoV-2 ...: CLoCK Study, 2022, Nugawela, Crawley et al

Sly Saint · Apr 13, 2022

Developing a model for predicting impairing physical symptoms in children 3 months after a SARS-CoV-2 PCR-test: The CLoCk Study

preprint

Abstract
Importance Predictive models can help identify SARS-CoV-2 patients at greatest risk of post-COVID sequelae and direct them towards appropriate care.

Objective To develop and internally validate a model to predict children and young people most likely to experience at least one impairing physical symptom 3 months after a SARS-CoV-2 PCR-test and to determine whether the impact of these predictors differed by SARS-CoV-2 infection status.

Design Potential pre-specified predictors included: SARS-CoV-2 status, sex, age, ethnicity, deprivation, quality of life/functioning (5 EQ-5D-Y items), physical and mental health, and loneliness (all prior to SARS-CoV-2 testing), and number of physical symptoms at testing. Logistic regression was used to develop the model. Model performance was assessed using calibration and discrimination measures; internal validation was performed via bootstrapping; the final model was adjusted for overfitting.

Setting National cohort study of SARS-CoV-2 PCR-positive and PCR-negative participants matched according to age, sex, and geographical area.

Participants Children and young people aged 11-17 years who were tested for SARS-CoV-2 infection in England, January to March 2021.

Main outcome measure one or more physical symptom 3 months after initial PCR-testing which affected physical, mental or social well-being and interfered with daily living.

Results A total of 50,836 children and young people were approached; 7,096 (3,227 test-positives, 3,869 test-negatives) who completed a questionnaire 3 months after their PCR-test were included. 39.6% (1,279/3,227) of SAR-CoV-2 PCR-positives and 30.6% (1,184/3,869) of SAR-CoV-2 PCR-negatives had at least one impairing physical symptom 3 months post-test. The final model contained predictors: SARS-COV-2 status, number of symptoms at testing, sex, age, ethnicity, self-rated physical and mental health, feelings of loneliness and four EQ-5D-Y items before testing. Internal validation showed minimal overfitting with excellent calibration and discrimination measures (optimism adjusted calibration slope:0.97527; C-statistic:0.83640).

Conclusions and relevance We developed a risk prediction equation to identify those most at risk of experiencing at least one impairing physical symptom 3 months after a SARS-CoV-2 PCR-test which could serve as a useful triage and management tool for children and young people during the ongoing pandemic. External validation is required before large-scale implementation.

https://www.medrxiv.org/content/10.1101/2022.04.01.22273117v1
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Developing a model for predicting impairing physical symptoms in children... after SARS-CoV-2 ...: CLoCK Study, 2022, Nugawela, Crawley et al

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Developing a model for predicting impairing physical symptoms in children... after SARS-CoV-2 ...: CLoCK Study, 2022, Nugawela, Crawley et al

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