Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Clin Chem Lab Med. 2022 Nov 11;61(2):339-348. doi: 10.1515/cclm-2022-0366. Print 2023 Jan 27.
Many biomarkers have been studied to assist in the risk stratification and prognostication of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Procalcitonin (PCT), a circulating precursor of the hormone calcitonin, has been studied with mixed results as a predictor of severe coronavirus disease 2019 (COVID-19) in the general population; however, to date, no studies have focused on the utility of PCT in predicting disease severity and death from COVID-19 in the cancer population.
We conducted a retrospective study of cancer patients hospitalized with COVID-19 at a comprehensive cancer center over a 10-month period who had PCT recorded on admission. We assessed associations between variables of clinical interest and the primary outcomes of progression of COVID-19 and death during or within 30 days of hospitalization using univariable and multivariable logistic regression.
The study included 209 unique patients. In the univariate analysis, elevated PCT on admission was associated with higher odds of progression of COVID-19 or death (Odds ratio [OR] 1.40, 95% CI 1.08-1.93) and mortality alone (OR 1.53, 95% CI 1.17-2.11). In multivariate regression, PCT remained significantly associated with progression or death after holding chronic kidney disease (CKD) status constant (OR 1.40, 95% CI: 1.08, 1.93, p=0.003). Similarly, the association of PCT and death remained significant after adjusting for age (OR 1.54, 95% CI: 1.17-2.15).
In hospitalized COVID-19 patients with underlying cancer, initial PCT levels on admission may be associated with prognosis, involving higher odds of progression of COVID-19 and/or mortality.
许多生物标志物已被研究用于协助严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染患者的风险分层和预后判断。降钙素原(PCT)是降钙素的循环前体,作为一般人群中 2019 年冠状病毒病(COVID-19)严重程度的预测因子,其研究结果不一;然而,迄今为止,尚无研究关注 PCT 在预测癌症患者 COVID-19 严重程度和死亡方面的作用。
我们对一家综合性癌症中心在 10 个月期间因 COVID-19 住院的癌症患者进行了回顾性研究,这些患者在入院时记录了 PCT。我们使用单变量和多变量逻辑回归评估了临床相关变量与 COVID-19 进展和住院期间或 30 天内死亡的主要结局之间的关联。
该研究共纳入 209 名患者。在单变量分析中,入院时 PCT 升高与 COVID-19 进展或死亡(优势比[OR] 1.40,95%置信区间[CI] 1.08-1.93)和单独死亡的几率较高相关(OR 1.53,95%CI 1.17-2.11)。在多变量回归中,在保持慢性肾脏病(CKD)状态不变的情况下,PCT 与进展或死亡仍显著相关(OR 1.40,95%CI:1.08,1.93,p=0.003)。同样,在调整年龄后,PCT 与死亡的相关性仍然显著(OR 1.54,95%CI:1.17-2.15)。
在患有基础癌症的 COVID-19 住院患者中,入院时的初始 PCT 水平可能与预后有关,涉及 COVID-19 进展和/或死亡率增加的几率较高。