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原发性自发性气胸复发:相关因素。

Recurrence of primary spontaneous pneumothorax: Associated factors.

机构信息

Pneumology Department, University Hospital Complex of Santiago de Compostela, Spain.

Pneumology Department, University Hospital Complex of Santiago de Compostela, Spain.

出版信息

Pulmonology. 2022 Jul-Aug;28(4):276-283. doi: 10.1016/j.pulmoe.2020.06.003. Epub 2020 Jun 26.

DOI:10.1016/j.pulmoe.2020.06.003
PMID:32601016
Abstract

INTRODUCTION

Determining the risk of recurrence of primary spontaneous pneumothorax is challenging. The objective of this study was to develop a risk assessment model to predict the probability of recurrence in patients with spontaneous pneumothorax.

METHODS

A retrospective study was performed of all episodes of pneumothorax diagnosed in the last 12 years in a hospital, in patients not initially submitted to surgery. Logistic regression was used to estimate the probability of recurrence. Based on a set of variables, a predictive model was built with its corresponding ROC curve to determine its discrimination power and diagnostic precision.

RESULTS

Of the 253 patients included, 128 (50.6%) experienced recurrence (37% within the first year). Recurrence was detected within 110 days in 25% of patients. The median of time to recurrence for the whole population was 1120 days. The presence of blebs/bullae was found to be a risk factor of recurrence (OR: 5.34; 95% CI: 2.81-10.23; p=0.000), whereas chest drainage exerted protective effect (OR: 0.19; 95% CI: 0.08-0.40; p=0.000). The variables included in the regression model constructed were hemoglobin and leukocyte count in blood, treatment received, and presence of blebs/bullae, with a fair discriminative power to predict recurrence [AUC=0.778 (95% CI: 0.721-0.835)].

CONCLUSION

The overall recurrence rate was high and was associated with the presence of blebs/bullae, failure to perform an active intervention (chest drainage) and low levels of hemoglobin and leukocytes in blood. Recurrence rarely occurs later than three years after the first episode. Once validated, this precision model could be useful to guide therapeutic decisions.

摘要

简介

原发性自发性气胸复发风险的确定具有挑战性。本研究的目的是开发一种风险评估模型,以预测气胸患者复发的概率。

方法

对过去 12 年在一家医院诊断的所有气胸发作病例进行回顾性研究,这些患者最初未接受手术。使用逻辑回归来估计复发的概率。基于一组变量,建立预测模型及其对应的 ROC 曲线,以确定其判别能力和诊断精度。

结果

在 253 例患者中,128 例(50.6%)出现复发(37%在第 1 年内)。25%的患者在 110 天内检测到复发。整个人群复发的中位时间为 1120 天。发现大疱/大疱的存在是复发的危险因素(OR:5.34;95%CI:2.81-10.23;p=0.000),而胸腔引流具有保护作用(OR:0.19;95%CI:0.08-0.40;p=0.000)。纳入回归模型的变量包括血液中的血红蛋白和白细胞计数、接受的治疗以及大疱/大疱的存在,对预测复发具有良好的判别能力[AUC=0.778(95%CI:0.721-0.835)]。

结论

总的复发率较高,与大疱/大疱的存在、未能进行积极干预(胸腔引流)以及血液中血红蛋白和白细胞水平较低有关。复发很少在第一次发作后三年后发生。一旦得到验证,该精确模型可能有助于指导治疗决策。

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