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SARS-CoV-2 感染在接受积极治疗的癌症患者中的临床特征及预测严重呼吸衰竭和死亡的因素分析。

SARS-CoV-2 infection in cancer patients undergoing active treatment: analysis of clinical features and predictive factors for severe respiratory failure and death.

机构信息

Medical Oncology Division, Hospital Universitario 12 de Octubre, Madrid, Spain.

Instituto de Investigación 12 de Octubre, Madrid, Spain; Internal Medicine Department, Hospital Universitario 12 de Octubre, Madrid, Spain.

出版信息

Eur J Cancer. 2020 Aug;135:242-250. doi: 10.1016/j.ejca.2020.06.001. Epub 2020 Jun 6.

Abstract

AIM

Previous studies have suggested a more frequent and severe course of novel coronavirus SARS-CoV-2 infection in cancer patients undergoing active oncologic treatment. Our aim was to describe the characteristics of the disease in this population and to determine predictive factors for poor outcome in terms of severe respiratory distress (acute respiratory distress syndrome [ARDS]) or death.

PATIENTS AND METHODS

Patients consecutively admitted for SARS-CoV-2 infection were prospectively collected, and retrospective statistical analysis was performed. Univariate and multivariate analyses were performed to assess potential factors for poor outcomes defined as ARDS or death.

RESULTS

Sixty-three patients were analysed, and 34 of them developed respiratory failure (70% as ARDS). Lymphocytes/mm3 (412 versus 686; p = 0.001), serum albumin (2.84 versus 3.1); lactate dehydrogenase (LDH) (670 versus 359; p < 0.001) and C-reactive protein (CRP) levels (25.8 versus 9.9; p < 0.001) discriminate those that developed respiratory failure. Mortality rate was 25%, significantly higher among ARDS, neutropenic patients (p = 0.01) and in those with bilateral infiltrates (44% versus 0%; p < 0.001). Multivariate logistic analyses model confirmed the predictive value of severe neutropenia (odds ratio [OR] 16.54; 95% confidence interval [CI] 1.43-190.9, p 0.025), bilateral infiltrates (OR 32.83, CI 95% 3.51-307, p 0.002) and tumour lung involvement (OR 4.34, CI 95% 1.2-14.95, p 0.02).

CONCLUSION

Cancer patients under active treatment admitted for SARS-CoV-2 infection have worse outcomes in terms of mortality and respiratory failure rates compared with COVID-19 global population. Lymphopenia, LDH, CRP and albumin discriminate illness severity, whereas neutropenia, bilateral infiltrates and tumour pulmonary involvement are predictive of higher mortality.

摘要

目的

先前的研究表明,正在接受积极肿瘤治疗的癌症患者新型冠状病毒 SARS-CoV-2 感染的病程更为频繁和严重。我们的目的是描述这一人群的疾病特征,并确定严重呼吸窘迫(急性呼吸窘迫综合征[ARDS])或死亡不良预后的预测因素。

患者和方法

连续收治的 SARS-CoV-2 感染患者被前瞻性收集,并进行回顾性统计分析。进行单变量和多变量分析,以评估定义为 ARDS 或死亡的不良结局的潜在因素。

结果

共分析了 63 例患者,其中 34 例发生呼吸衰竭(70%为 ARDS)。淋巴细胞/mm3(412 与 686;p=0.001)、血清白蛋白(2.84 与 3.1)、乳酸脱氢酶(LDH)(670 与 359;p<0.001)和 C 反应蛋白(CRP)水平(25.8 与 9.9;p<0.001)可区分发生呼吸衰竭的患者。死亡率为 25%,ARDS、中性粒细胞减少症患者(p=0.01)和双肺浸润患者(44%与 0%;p<0.001)显著更高。多变量逻辑分析模型证实严重中性粒细胞减少症(比值比[OR]16.54;95%置信区间[CI]1.43-190.9,p=0.025)、双肺浸润(OR 32.83,95%CI 3.51-307,p=0.002)和肿瘤肺部受累(OR 4.34,95%CI 1.2-14.95,p=0.02)具有预测价值。

结论

与 COVID-19 全球人群相比,正在接受积极治疗的癌症患者因死亡率和呼吸衰竭发生率而导致的结局更差。淋巴细胞减少、LDH、CRP 和白蛋白可区分疾病严重程度,而中性粒细胞减少症、双肺浸润和肿瘤肺部受累是高死亡率的预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01c2/7275164/217b79663c47/gr1_lrg.jpg

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