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用于个体化预测1至36个月龄儿科住院患儿尿布皮炎风险的列线图模型的开发。

The development of a nomogram model for the individualized prediction of diaper dermatitis risk in pediatric hospitalized children aged 1-36 months.

作者信息

Shao Lingling, Yu Youna

机构信息

The Department of Pediatric Ward, The Women and Children Hospital in Zhoushan, Zhejiang province, 316000, China.

出版信息

J Tissue Viability. 2023 Feb;32(1):85-93. doi: 10.1016/j.jtv.2023.01.002. Epub 2023 Jan 11.

Abstract

AIMS AND OBJECTIVE

To develop a nomogram model for individualized prediction of diaper dermatitis in pediatric hospitalized infants and toddlers aged 1-36 months.

BACKGROUND

Diaper dermatitis is a common skin health problem in pediatrics, which brings pain and discomfort to the child. However, there is a scarcity of risk prediction tools for diaper dermatitis in infants and toddlers hospitalized in pediatrics.

DESIGN

A cross-sectional study.

METHODS

210 cases each for caregivers and hospitalized children aged 1-36 months were selected as the research objects. A prediction nomogram model was established based on the risk factors according to the results of univariate analysis and multivariate logistic regression analysis. The predictive performance of the nomogram model was evaluated by discrimination and calibration. The clinical utility of the model was evaluated by decision curve analysis. This study was reported using the TRIPOD checklist.

RESULTS

41 hospitalized children with diaper dermatitis with a prevalence of 19.52%. The risk factors included: age in months, diarrhea, history of diaper dermatitis, without prophylactic application of buttock protection products, frequency of diaper change per day ≤6.6 times, and the level of caregivers' knowledge of infantile diaper dermatitis. The results showed that the C-index of the nomogram model was 0.891(95% CI: 0.832, 0.950), the calibration curve manifested a satisfactory consistency, and the net benefit was satisfactory.

CONCLUSIONS

The nomogram has a good predictive ability and satisfactory clinical utility, which is useful for pediatric medical staff screening high-risk patients with diaper dermatitis.

RELEVANCE TO CLINICAL PRACTICE

The prediction nomogram model can help pediatric medical staff to calculate the risk probability of diaper dermatitis in pediatrics, formulate interventions timely, and optimize pediatric DD standardized care protocols. NO PATIENT OR PUBLIC CONTRIBUTION: the children's caregivers enrolled in this study only for the data collection.

摘要

目的

建立一个列线图模型,用于个体化预测1至36个月住院婴幼儿尿布皮炎。

背景

尿布皮炎是儿科常见的皮肤健康问题,给儿童带来疼痛和不适。然而,儿科住院婴幼儿尿布皮炎的风险预测工具匮乏。

设计

横断面研究。

方法

选取210名1至36个月住院患儿及其照料者作为研究对象。根据单因素分析和多因素逻辑回归分析结果,基于危险因素建立预测列线图模型。通过区分度和校准评估列线图模型的预测性能。通过决策曲线分析评估模型的临床实用性。本研究按照TRIPOD清单进行报告。

结果

41名住院患儿患有尿布皮炎,患病率为19.52%。危险因素包括:月龄、腹泻、尿布皮炎病史、未预防性使用臀部保护产品、每日更换尿布次数≤6.6次以及照料者对婴儿尿布皮炎的认知水平。结果显示,列线图模型的C指数为0.891(95%CI:0.832,0.950),校准曲线显示出良好的一致性,净效益令人满意。

结论

该列线图具有良好的预测能力和令人满意的临床实用性,有助于儿科医护人员筛查尿布皮炎高危患者。

与临床实践的相关性

预测列线图模型可帮助儿科医护人员计算儿科尿布皮炎的风险概率,及时制定干预措施,优化儿科尿布皮炎标准化护理方案。无患者或公众参与:本研究纳入的儿童照料者仅用于数据收集。

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