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降钙素原预测乌干达 HIV 感染的下呼吸道感染成年患者的死亡率。

Procalcitonin predicts mortality in HIV-infected Ugandan adults with lower respiratory tract infections.

机构信息

Department of Internal Medicine, University of California, San Francisco, CA, USA; Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA.

出版信息

Respirology. 2014 Apr;19(3):382-8. doi: 10.1111/resp.12237. Epub 2014 Jan 26.

Abstract

BACKGROUND AND OBJECTIVE

In low and middle-income countries where HIV infection is prevalent, identifying patients at high risk of dying from lower respiratory tract infections is challenging and validated prognostic models are lacking. Serum procalcitonin may be a useful prognostic tool in these settings. We sought to determine if elevated serum procalcitonin is associated with increased in-hospital mortality and to combine serum procalcitonin with available clinical characteristics to create a clinically useful prognostic model.

METHODS

We conducted a prospective, nested case-control study of 241 HIV-infected adults admitted to Mulago Hospital in Kampala, Uganda with cough ≥2 weeks in duration. We collected demographic and clinical information, baseline serum for procalcitonin analysis, and followed patients to determine in-hospital mortality.

RESULTS

Serum procalcitonin was a strong and independent predictor of inpatient mortality (aOR = 7.69, p = 0.01, sensitivity = 93%, negative predictive value = 97%). Best subset multivariate analysis identified 3 variables that were combined into a prognostic model to risk stratify patients; these variables included respiratory rate ≥30 breaths/minute (aOR = 2.07, p = 0.11), oxygen saturation <90% (aOR = 3.07, p = 0.02), and serum procalcitonin >0.5 ng/ml (aOR = 7.69, p = 0.01). The predicted probability of inpatient mortality ranged from 1% when no variables were present, to 42% when all variables were present.

CONCLUSIONS

Elevated serum procalcitonin >0.5 ng/ml is an independent predictor of in-hospital mortality. Elevated serum procalcitonin, tachypnea, and hypoxemia may be combined into a prognostic model to identify patients at high risk of dying in the hospital. This model may be used to estimate the probability of death and to guide triage and treatment decisions.

摘要

背景和目的

在艾滋病毒感染流行的中低收入国家,识别因下呼吸道感染而死亡风险较高的患者具有挑战性,且缺乏经过验证的预后模型。血清降钙素原可能是这些环境下有用的预后工具。我们试图确定血清降钙素原升高是否与住院死亡率增加相关,并将血清降钙素原与现有临床特征相结合,创建一个具有临床应用价值的预后模型。

方法

我们对 241 名在乌干达坎帕拉的穆拉戈医院住院的艾滋病毒感染成人进行了一项前瞻性、嵌套病例对照研究,这些患者的咳嗽持续时间≥2 周。我们收集了人口统计学和临床信息、基线血清降钙素原分析,并对患者进行随访以确定住院死亡率。

结果

血清降钙素原是住院死亡率的一个强有力且独立的预测因素(优势比=7.69,p=0.01,敏感性=93%,阴性预测值=97%)。最佳子集多变量分析确定了 3 个变量,将这些变量结合到一个预后模型中,用于对患者进行风险分层;这些变量包括呼吸频率≥30 次/分钟(优势比=2.07,p=0.11)、氧饱和度<90%(优势比=3.07,p=0.02)和血清降钙素原>0.5ng/ml(优势比=7.69,p=0.01)。住院死亡率的预测概率从没有任何变量时的 1%,到所有变量都存在时的 42%。

结论

血清降钙素原升高>0.5ng/ml是住院死亡率的独立预测因素。升高的血清降钙素原、呼吸急促和低氧血症可能结合到一个预后模型中,以识别有在医院死亡高风险的患者。该模型可用于估计死亡概率,并指导分诊和治疗决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3ef/4276722/315f91200251/nihms-554653-f0001.jpg

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