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构建并分析预测儿童腺病毒肺炎行有创机械通气后并发感染性细支气管炎闭塞的列线图预测模型。

Construction and analysis of a nomogram prediction model for post-infectious bronchiolitis obliterans in children with adenovirus pneumonia after invasive mechanical ventilation.

机构信息

Hunan Provincial Key Laboratory of Pediatric Respirology, Pediatric Medical Center, Hunan Provincial People's Hospital (the First Affiliated Hospital of Hunan Normal University), Fu-Rong District, 61 Jie-Fang West Road, Changsha, 410005, People's Republic of China.

出版信息

BMC Pediatr. 2023 Feb 16;23(1):81. doi: 10.1186/s12887-023-03883-9.

Abstract

BACKGROUND

Post-infectious bronchiolitis obliterans (PIBO) is the most common sequelae in children with adenovirus pneumonia (ADVP). However, there are few studies on the risk factors for PIBO occurrence. This study aims to investigate the risk factors for PIBO in pediatric patients with severe ADVP, especially after invasive mechanical ventilation (IMV), as well as to build a nomogram prediction model.

METHODS

The clinical data, laboratory and imaging features, and treatment of 863 children with ADVP under 3 years old who were admitted to our hospital from January to December 2019 were retrospectively analyzed. Among them, 66 children with severe ADVP received IMV treatment. The situation and the influencing factors of PIBO in children with severe ADVP were explored, and a nomogram prediction model was constructed.

RESULTS

Among the 863 cases of ADVP, 46 cases (5.33%) developed PIBO. Duration of fever, IMV, complications, and neutrophil percentage were independent risk factors for PIBO in children with ADVP. Among the 66 patients with ADVP who underwent IMV, 33 patients (50.0%) developed PIBO. Gender, duration of fever, adenovirus (ADV) load, and mixed fungal coinfections were independent risk factors for PIBO. In the nomogram prediction model analysis, the area under the curve (AUC) was 0.857; in addition, Hosmer‒Lemeshow (H-L) detection reflected good alignment (χ2 = 68.75, P < 0.01).

CONCLUSIONS

A nomogram prediction model, which can be utilized to predict PIBO occurrence in pediatric patients with ADVP after IMV at an early time period, was successfully built.

摘要

背景

腺病毒肺炎(ADVP)后发生的闭塞性细支气管炎(PIBO)是儿童最常见的后遗症。然而,关于 PIBO 发生的危险因素研究较少。本研究旨在探讨小儿重症 ADVP,尤其是接受有创机械通气(IMV)治疗后的小儿 PIBO 的危险因素,并建立列线图预测模型。

方法

回顾性分析 2019 年 1 月至 12 月我院收治的 863 例 3 岁以下 ADVP 患儿的临床资料、实验室及影像学特征、治疗情况,其中 66 例重症 ADVP 患儿接受 IMV 治疗。探讨小儿重症 ADVP 发生 PIBO 的情况及影响因素,并构建列线图预测模型。

结果

863 例 ADVP 中,46 例(5.33%)发生 PIBO。发热持续时间、IMV、并发症、中性粒细胞百分比是 ADVP 患儿发生 PIBO 的独立危险因素。66 例行 IMV 的 ADVP 患儿中,33 例(50.0%)发生 PIBO。性别、发热持续时间、腺病毒(ADV)载量、混合真菌感染是 PIBO 的独立危险因素。在列线图预测模型分析中,曲线下面积(AUC)为 0.857;此外,Hosmer‒Lemeshow(H-L)检验显示拟合良好(χ2=68.75,P<0.01)。

结论

成功建立了预测小儿重症 ADVP 患儿接受 IMV 治疗后 PIBO 发生的列线图预测模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc73/9933386/e30206286634/12887_2023_3883_Fig1_HTML.jpg

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