Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Intensive Care Unit, Department of Internal Medicine, Camillian Saint Mary's Hospital Luodong, Luodong, Yilan, Taiwan.
PLoS One. 2021 Jan 22;16(1):e0245748. doi: 10.1371/journal.pone.0245748. eCollection 2021.
Procalcitonin (PCT) has been widely investigated as an infection biomarker. The study aimed to prove that serum PCT, combining with other relevant variables, has an even better sepsis-detecting ability in critically ill patients.
We conducted a retrospective cohort study in a regional teaching hospital enrolling eligible patients admitted to intensive care units (ICU) between July 1, 2016, and December 31, 2016, and followed them until March 31, 2017. The primary outcome measurement was the occurrence of sepsis. We used multivariate logistic regression analysis to determine the independent factors for sepsis and constructed a novel PCT-based score containing these factors. The area under the receiver operating characteristics curve (AUROC) was applied to evaluate sepsis-detecting abilities. Finally, we validated the score using a validation cohort.
A total of 258 critically ill patients (70.9±16.3 years; 55.4% man) were enrolled in the derivation cohort and further subgrouped into the sepsis group (n = 115) and the non-sepsis group (n = 143). By using the multivariate logistic regression analysis, we disclosed five independent factors for detecting sepsis, namely, "serum PCT level," "albumin level" and "neutrophil-lymphocyte ratio" at ICU admission, along with "diabetes mellitus," and "with vasopressor." We subsequently constructed a PCT-based score containing the five weighted factors. The PCT-based score performed well in detecting sepsis with the cut-points of 8 points (AUROC 0.80; 95% confidence interval (CI) 0.74-0.85; sensitivity 0.70; specificity 0.76), which was better than PCT alone, C-reactive protein and infection probability score. The findings were confirmed using an independent validation cohort (n = 72, 69.2±16.7 years, 62.5% men) (cut-point: 8 points; AUROC, 0.79; 95% CI 0.69-0.90; sensitivity 0.64; specificity 0.87).
We proposed a novel PCT-based score that performs better in detecting sepsis than serum PCT levels alone, C-reactive protein, and infection probability score.
降钙素原(PCT)已被广泛研究作为感染生物标志物。本研究旨在证明血清 PCT 结合其他相关变量在危重病患者中具有更好的检测脓毒症的能力。
我们在一家地区教学医院进行了一项回顾性队列研究,纳入 2016 年 7 月 1 日至 2016 年 12 月 31 日期间入住重症监护病房(ICU)的符合条件的患者,并对他们进行随访直至 2017 年 3 月 31 日。主要结局测量是发生脓毒症。我们使用多变量逻辑回归分析确定脓毒症的独立因素,并构建包含这些因素的新型基于 PCT 的评分。应用受试者工作特征曲线下面积(AUROC)评估脓毒症检测能力。最后,我们使用验证队列验证了该评分。
共有 258 名危重病患者(70.9±16.3 岁;55.4%为男性)被纳入推导队列,并进一步分为脓毒症组(n=115)和非脓毒症组(n=143)。通过多变量逻辑回归分析,我们揭示了检测脓毒症的五个独立因素,即 ICU 入院时的“血清 PCT 水平”、“白蛋白水平”和“中性粒细胞-淋巴细胞比值”,以及“糖尿病”和“使用血管加压药”。随后,我们构建了一个包含五个加权因素的基于 PCT 的评分。该 PCT 评分在检测脓毒症方面表现良好,截断值为 8 分(AUROC 0.80;95%置信区间(CI)0.74-0.85;敏感性 0.70;特异性 0.76),优于单独的 PCT、C 反应蛋白和感染概率评分。使用独立的验证队列(n=72,69.2±16.7 岁,62.5%为男性)(截断值:8 分;AUROC,0.79;95%CI 0.69-0.90;敏感性 0.64;特异性 0.87)证实了这些发现。
我们提出了一种新型的基于 PCT 的评分,与单独的血清 PCT 水平、C 反应蛋白和感染概率评分相比,该评分在检测脓毒症方面表现更好。