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预测小儿复杂性尿路感染复发风险的临床特征和列线图模型。

Clinical characteristics and nomogram model for predicting the risk of recurrence of complicated urinary tract infection in pediatric patients.

机构信息

Department of Pediatrics, West China Second University Hospital, Sichuan University, Renmin South Road Section Three 17, Wuhou District, Chengdu, 610041, Sichuan, China.

Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, 610041, Sichuan, China.

出版信息

Sci Rep. 2024 Oct 25;14(1):25393. doi: 10.1038/s41598-024-76901-0.

Abstract

Complicated urinary tract infection (cUTI) has higher incidences of antibiotic resistance, recurrence, chronicity, and progression. There exist differences in the immune functions, anatomical structures and physiological functions of urinary tract system between children and adults. In addition, the immature stage of hygiene habit development and the inability to express discomfort accurately all contribute to cUTI recurrence in pediatric patients. cUTI recurrence in children can lead to serious consequences such as growth and development delay, renal scars, and progression to end-stage kidney diseases. Despite the high incidence of cUTI recurrence, no predictive model currently exists to guide targeted intervention in pediatric patients. This study aimed to establish a nomogram to predict the risk of cUTI recurrence in children, thereby facilitating targeted prevention and treatment strategies in pediatric patients. The nomogram was developed based on a retrospective cohort that included 421 pediatric patients with cUTI at West China Second University Hospital from January 2020 to August 2023. The patients were randomly divided into a training set and a validation set in a 3:1 ratio. Logistic regression analysis was used to identify risk factors and construct the nomogram for predicting the risk of cUTI recurrence, followed by validation and performance analysis. Of the 421 children with cUTI, the recurrence rate of cUTI was 68.4% (288 cases) during an average follow-up duration of 22.9 months. The nomogram comprised female gender, history of urinary tract surgery, Escherichia coli in urine culture, renal dysfunction, and vesicoureteral reflux as predictors of cUTI recurrence in pediatric patients. The model showed favorable performance with C-index values of 0.735 and 0.750 in the training dataset and the validation dataset, respectively. The decision curve analysis revealed that the nomogram might be clinically useful. The reliable nomogram would be beneficial for clinicians to identify children with high risks of cUTI recurrence for targeted intervention.

摘要

复杂性尿路感染(cUTI)具有更高的抗生素耐药性、复发率、慢性化和进展率。儿童与成人的尿路系统在免疫功能、解剖结构和生理功能上存在差异。此外,儿童卫生习惯发育不成熟阶段和无法准确表达不适,都导致了儿科患者 cUTI 的复发。儿童 cUTI 的复发可能导致严重后果,如生长发育迟缓、肾瘢痕形成和进展为终末期肾病。尽管 cUTI 的复发率很高,但目前尚无预测模型来指导儿科患者的针对性干预。本研究旨在建立一个列线图来预测儿童 cUTI 复发的风险,从而为儿科患者制定有针对性的预防和治疗策略。该列线图是基于华西第二医院 2020 年 1 月至 2023 年 8 月间收治的 421 例儿童 cUTI 的回顾性队列研究建立的。患者按 3:1 的比例随机分为训练集和验证集。采用 logistic 回归分析识别风险因素,并构建预测儿童 cUTI 复发风险的列线图,然后进行验证和性能分析。在 421 例 cUTI 患儿中,平均随访 22.9 个月后,cUTI 的复发率为 68.4%(288 例)。该列线图由女性、尿路手术史、尿液培养出大肠埃希菌、肾功能不全和膀胱输尿管反流等预测因素组成。模型在训练数据集和验证数据集中的 C 指数值分别为 0.735 和 0.750,表现出良好的性能。决策曲线分析表明,该列线图可能具有临床应用价值。该可靠的列线图将有助于临床医生识别出具有高复发风险的儿童,以便进行有针对性的干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf41/11511905/73f306eeefd4/41598_2024_76901_Fig1_HTML.jpg

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