Nested Knowledge, Inc, St Paul, MN, USA.
Department Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, New York, USA.
Clin Exp Med. 2023 Oct;23(6):1945-1959. doi: 10.1007/s10238-023-01004-5. Epub 2023 Feb 16.
Cancer patients are more vulnerable to COVID-19 compared to the general population, but it remains unclear which types of cancer have the highest risk of COVID-19-related mortality. This study examines mortality rates for those with hematological malignancies (Hem) versus solid tumors (Tumor). PubMed and Embase were systematically searched for relevant articles using Nested Knowledge software (Nested Knowledge, St Paul, MN). Articles were eligible for inclusion if they reported mortality for Hem or Tumor patients with COVID-19. Articles were excluded if they were not published in English, non-clinical studies, had insufficient population/outcomes reporting, or were irrelevant. Baseline characteristics collected included age, sex, and comorbidities. Primary outcomes were all-cause and COVID-19-related in-hospital mortality. Secondary outcomes included rates of invasive mechanical ventilation (IMV) and intensive care unit (ICU) admission. Effect sizes from each study were computed as logarithmically transformed odds ratios (ORs) with random-effects, Mantel-Haenszel weighting. The between-study variance component of random-effects models was computed using restricted effects maximum likelihood estimation, and 95% confidence intervals (CIs) around pooled effect sizes were calculated using Hartung-Knapp adjustments. In total, 12,057 patients were included in the analysis, with 2,714 (22.5%) patients in the Hem group and 9,343 (77.5%) patients in the Tumor group. The overall unadjusted odds of all-cause mortality were 1.64 times higher in the Hem group compared to the Tumor group (95% CI: 1.30-2.09). This finding was consistent with multivariable models presented in moderate- and high-quality cohort studies, suggestive of a causal effect of cancer type on in-hospital mortality. Additionally, the Hem group had increased odds of COVID-19-related mortality compared to the Tumor group (OR = 1.86 [95% CI: 1.38-2.49]). There was no significant difference in odds of IMV or ICU admission between cancer groups (OR = 1.13 [95% CI: 0.64-2.00] and OR = 1.59 [95% CI: 0.95-2.66], respectively). Cancer is a serious comorbidity associated with severe outcomes in COVID-19 patients, with especially alarming mortality rates in patients with hematological malignancies, which are typically higher compared to patients with solid tumors. A meta-analysis of individual patient data is needed to better assess the impact of specific cancer types on patient outcomes and to identify optimal treatment strategies.
癌症患者比一般人群更容易感染 COVID-19,但仍不清楚哪些类型的癌症患 COVID-19 相关死亡率最高。本研究比较了血液恶性肿瘤(Hem)和实体肿瘤(Tumor)患者的死亡率。使用嵌套知识软件(Nested Knowledge,St Paul,MN)对 PubMed 和 Embase 进行了系统搜索,以查找相关文章。如果文章报告了 COVID-19 血液恶性肿瘤或实体肿瘤患者的死亡率,则符合纳入标准。如果文章不是用英文发表的、是非临床研究、报告的人群/结果不足、或者不相关,则排除在外。收集的基线特征包括年龄、性别和合并症。主要结局是全因和 COVID-19 相关的院内死亡率。次要结局包括有创机械通气(IMV)和重症监护病房(ICU)入住率。从每项研究中计算的效应量为对数转换的优势比(OR),采用随机效应、Mantel-Haenszel 加权。随机效应模型的研究间方差分量采用受限效果最大似然估计计算,汇总效应量的 95%置信区间(CI)采用 Hartung-Knapp 调整计算。共有 12057 名患者纳入分析,其中 Hem 组有 2714 名(22.5%)患者,Tumor 组有 9343 名(77.5%)患者。未调整的全因死亡率的总体优势比在 Hem 组是 Tumor 组的 1.64 倍(95%CI:1.30-2.09)。这一发现与中高质量队列研究中呈现的多变量模型一致,提示癌症类型对院内死亡率有因果影响。此外,与 Tumor 组相比,Hem 组 COVID-19 相关死亡率的优势比更高(OR=1.86 [95%CI:1.38-2.49])。癌症组间有创机械通气或 ICU 入住的优势比无显著差异(OR=1.13 [95%CI:0.64-2.00]和 OR=1.59 [95%CI:0.95-2.66])。癌症是 COVID-19 患者严重结局的严重合并症,血液恶性肿瘤患者的死亡率尤其令人震惊,通常高于实体肿瘤患者。需要对个体患者数据进行荟萃分析,以更好地评估特定癌症类型对患者结局的影响,并确定最佳治疗策略。