Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study.

Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study.
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DOI:
10.1371/journal.pone.0262342
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Mansour MK
Mansour MK
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Atallah NJ;Warren HM;Roberts MB;Elshaboury RH;Bidell MR;Gandhi RG;Adamsick M;Ibrahim MK;Sood R;Bou Zein Eddine S;Cobler-Lichter MJ;Alexander NJ;Timmer KD;Atallah CJ;Viens AL;Panossian VS;Scherer AK;Proctor T;Smartt S;Letourneau AR;Paras ML;Johannes S;Wiemer J;Mansour MK

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2019冠状病毒病(COVID - 19)与包括急性呼吸衰竭在内的一系列广泛临床症状相关。能够预测COVID - 19患者预后的生物标志物有助于患者的管理。本研究旨在评估降钙素原(PCT)是否能够预测感染严重急性呼吸综合征冠状病毒2(SARS - CoV - 2)患者的临床结局及细菌继发感染情况。 研究对象为2020年3月17日至4月30日期间,因感染SARS - CoV - 2入住马萨诸塞州波士顿一家三级医疗中心、经鼻咽拭子聚合酶链反应(PCR)确诊为SARS - CoV - 2感染且有基线PCT值的成年患者。疑似SARS - CoV - 2阳性但缺乏PCT检测值,或尿液分析阳性但培养阴性的患者被排除在外。从电子病历中提取人口统计学信息、临床及实验室数据。 共回顾了324份患者病历,并根据第28天的临床和微生物学结局进行分组。与非细菌感染组相比,确诊菌血症(p = 0.0005)和细菌性肺炎(p = 0.00077)患者的基线PCT水平显著更高。基线PCT与美国国立过敏与传染病研究所(NIAID)序贯量表评分及随时间推移的生存情况呈正相关。与其他炎症生物标志物相比,PCT在预测菌血症方面表现更优。 基线PCT水平与因SARS - CoV - 2感染住院患者的结局及细菌继发感染相关。
Coronavirus disease-2019 (COVID-19) is associated with a wide spectrum of clinical symptoms including acute respiratory failure. Biomarkers that can predict outcomes in patients with COVID-19 can assist with patient management. The aim of this study is to evaluate whether procalcitonin (PCT) can predict clinical outcome and bacterial superinfection in patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Adult patients diagnosed with SARS-CoV-2 by nasopharyngeal PCR who were admitted to a tertiary care center in Boston, MA with SARS-CoV-2 infection between March 17 and April 30, 2020 with a baseline PCT value were studied. Patients who were presumed positive for SARS-CoV-2, who lacked PCT levels, or who had a positive urinalysis with negative cultures were excluded. Demographics, clinical and laboratory data were extracted from the electronic medical records. 324 patient charts were reviewed and grouped by clinical and microbiologic outcomes by day 28. Baseline PCT levels were significantly higher for patients who were treated for true bacteremia (p = 0.0005) and bacterial pneumonia (p = 0.00077) compared with the non-bacterial infection group. Baseline PCT positively correlated with the NIAID ordinal scale and survival over time. When compared to other inflammatory biomarkers, PCT showed superiority in predicting bacteremia. Baseline PCT levels are associated with outcome and bacterial superinfection in patients hospitalized with SARS-CoV-2.
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