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气肿性肾盂肾炎患者快速护理早期评分预测指标的评估

Evaluation of early scoring predictors for expedited care in patients with emphysematous pyelonephritis.

作者信息

Chawla Arun, Bhaskara Sunil Pillai, Taori Ravi, de la Rosette Jean J M C H, Laguna Pilar, Pandey Akhilesh, Mummalaneni Sitaram, Hegde Padmaraj, Rao Shwetapriya, K Prakashini

机构信息

Department of Urology and Renal Transplant, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal, India.

Department of Urology and Renal Transplant, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India.

出版信息

Ther Adv Urol. 2022 Feb 22;14:17562872221078773. doi: 10.1177/17562872221078773. eCollection 2022 Jan-Dec.

Abstract

INTRODUCTION

Emphysematous pyelonephritis (EPN), an acute necrotizing infection of the kidney and surrounding tissues, is associated with considerable mortality. We evaluated how existing critical care scoring systems could predict the need for intensive care unit (ICU) management for these patients. We also analyzed if CT-imaging further enhances these predictive systems.

PATIENTS AND METHODS

A retrospective analysis of 90 consecutive patients diagnosed clinico-radiologically with EPN from January 2011 to September 2020. Five scoring systems were evaluated for their predictive ability for the need for ICU management and mortality risk: National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), 'quick' Sequential Organ Failure Assessment score (qSOFA), Systemic Inflammatory Response Syndrome score (SIRS), and Sequential Organ Failure Assessment score (SOFA). CT images were classified as per Huang & Tseng and evaluated as stand-alone or added to the different predictive models. Receiver operating characteristic (ROC) curves were plotted for each critical care score and CT-Class using logistic regression, to obtain the area under curve (AUC) value for comparison of ICU admission predictability. Patients were analyzed up till discharge.

RESULTS

Ninety patients were diagnosed with EPN. Twenty-six patients required ICU management and nine patients died. The best scoring system to predict the need of early ICU management is NEWS (AUC 0.884). CT Class had no independent predictive power, nor did it add significantly to improvement in most of the early warning scoring systems, but rather guided us to the need for radiological, endourological or surgical intervention.

CONCLUSION

In patients with EPN, the NEWS scoring system predicts best the requirement of ICU care. It aids in triage of patients with EPN to appropriate early management and reduce mortality risk.

摘要

引言

气肿性肾盂肾炎(EPN)是一种肾脏及周围组织的急性坏死性感染,死亡率较高。我们评估了现有的重症监护评分系统如何预测这些患者对重症监护病房(ICU)管理的需求。我们还分析了CT成像是否能进一步增强这些预测系统。

患者与方法

对2011年1月至2020年9月期间临床放射学诊断为EPN的90例连续患者进行回顾性分析。评估了五个评分系统对ICU管理需求和死亡风险的预测能力:国家早期预警评分(NEWS)、改良早期预警评分(MEWS)、“快速”序贯器官衰竭评估评分(qSOFA)、全身炎症反应综合征评分(SIRS)和序贯器官衰竭评估评分(SOFA)。CT图像根据黄氏和曾氏分类法进行分类,并作为独立因素或添加到不同的预测模型中进行评估。使用逻辑回归为每个重症监护评分和CT分类绘制受试者操作特征(ROC)曲线,以获得曲线下面积(AUC)值,用于比较ICU入院预测性。对患者进行直至出院的分析。

结果

90例患者被诊断为EPN。26例患者需要ICU管理,9例患者死亡。预测早期ICU管理需求的最佳评分系统是NEWS(AUC 0.884)。CT分类没有独立的预测能力,在大多数早期预警评分系统中也没有显著提高预测能力,但它能指导我们判断是否需要进行放射、腔内泌尿外科或手术干预。

结论

在EPN患者中,NEWS评分系统对ICU护理需求的预测最佳。它有助于将EPN患者分诊至适当的早期管理,降低死亡风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/180d/8874189/5d9fa3510ddd/10.1177_17562872221078773-fig1.jpg

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