Evidence map›Paper›PMID 35958486›Full record

ArticleAmerican journal of translational research2022

Development and validation of a nomogram to predict recurrence in children with Henoch-Schönlein purpura.

Danyang Song, Yajing Jiang, Qiuju Zhao, Jinling Li

Abstract read
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Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Danyang SongDepartment of Children's Emergency, Cangzhou Central Hospital Cangzhou 061000, Hebei, China.
Yajing JiangDepartment of Paediatrics, Cangzhou Central Hospital Cangzhou 061000, Hebei, China.
Qiuju ZhaoDepartment of Paediatrics, Cangzhou Central Hospital Cangzhou 061000, Hebei, China.
Jinling LiDepartment of Paediatrics, Cangzhou Central Hospital Cangzhou 061000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo screen risk factors for the recurrence in children with Henoch-Schönlein Purpura (HSP) and to develop and validate a nomogram for recurrence in children with HSP.

methodsDuring September 2019 and September 2021, 212 children with HSP were selected in this study. The children were divided into two sets in a proportion of 7:3 using R language, with the first group as the training sets and the second as the internal validation sets. The related variables were analyzed by univariate and multivariate logistic regression analyses, and a nomogram for predicting the recurrence in HSP children was established. The nomogram was evaluated by ROC curve, calibration curve and decision curve, and 1000 times bootstrap resampling method was used to verify the model internally.

resultsUnivariate and multivariate regression analyses identified respiratory infection, without preventive medication and diet restriction, age, allergen positive and abnormal urine routine as risk factors for the recurrence in children with HSP. Those risk factors were used to construct a predictive nomogram. The calibration curves revealed excellent accuracy of the predictive nomogram model, internally and externally.

conclusionsWe constructed and validated a clinical nomogram to predict the recurrence in children with HSP. We confirmed that respiratory tract infection, without preventive medication and diet restriction, age, allergen positive and abnormal urine routine were independent recurrence risk factors. This nomogram had a good performance in clinical decision-making.

Indexed as

Henoch-Schönlein purpuranomogramrecurrencerisk predictors

Identifiers

PMID35958486
PMCPMC9360896

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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.