Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
PLoS One. 2024 Sep 6;19(9):e0308463. doi: 10.1371/journal.pone.0308463. eCollection 2024.
Patients with multiple myeloma (MM) face heightened infection susceptibility, particularly severe risks from COVID-19. This study, the first systematic review in its domain, seeks to assess the impacts of COVID-19 on MM patients.
Adhering to PRISMA guidelines and PROSPERO registration (ID: CRD42023407784), this study conducted an exhaustive literature search from January 1, 2020, to April 12, 2024, using specified search terms in major databases (PubMed, EMBASE, and Web of Science). Quality assessment utilized the JBI Critical checklist, while publication bias was assessed using Egger's test and funnel plot. The leave-one-out sensitivity analyses were performed to assess the robustness of the results by excluding one study at a time to identify studies with a high risk of bias or those that significantly influenced the overall effect size. Data synthesis involved fitting a random-effects model and estimating meta-regression coefficients.
A total of 14 studies, encompassing a sample size of 3214 yielded pooled estimates indicating a hospitalization rate of 53% (95% CI: 40.81, 65.93) with considerable heterogeneity across studies (I2 = 99%). The ICU admission rate was 17% (95% CI: 11.74, 21.37), also with significant heterogeneity (I2 = 94%). The pooled mortality rate was 22% (95% CI: 15.33, 28.93), showing high heterogeneity (I2 = 97%). The pooled survival rate stood at 78% (95% CI: 71.07, 84.67), again exhibiting substantial heterogeneity (I2 = 97%). Subgroup analysis and meta-regression highlighted that study types, demographic factors, and patient comorbidities significantly contributed to the observed outcome heterogeneity, revealing distinct patterns. Mortality rates increased by 15% for participants with a median age above 67 years. ICU admission rates were positively correlated with obesity, with a 20% increase for groups with at least 19% obesity. Mortality rates rose by 33% for the group of patients with at least 19% obesity, while survival rates decreased by 33% in the same group.
Our meta-analysis sheds light on diverse COVID-19 outcomes in multiple myeloma. Heterogeneity underscores complexities, and study types, demographics, and co-morbidities significantly influence results, emphasizing the nuanced interplay of factors.
多发性骨髓瘤(MM)患者易受感染,尤其面临感染 COVID-19 的严重风险。本研究是该领域的首次系统综述,旨在评估 COVID-19 对 MM 患者的影响。
本研究严格遵循 PRISMA 指南和 PROSPERO 注册(ID:CRD42023407784),从 2020 年 1 月 1 日至 2024 年 4 月 12 日,在主要数据库(PubMed、EMBASE 和 Web of Science)中使用特定的检索词进行了全面的文献检索。质量评估采用 JBI 关键清单,通过 Egger 检验和漏斗图评估发表偏倚。通过每次排除一项研究来进行逐一剔除敏感性分析,以识别存在高偏倚风险或对总体效应量有显著影响的研究,从而评估结果的稳健性。数据综合采用随机效应模型,并估计荟萃回归系数。
共有 14 项研究,样本量为 3214 例,汇总估计结果显示住院率为 53%(95%CI:40.81,65.93),研究间存在显著异质性(I2 = 99%)。重症监护病房(ICU)入住率为 17%(95%CI:11.74,21.37),同样存在显著异质性(I2 = 94%)。汇总死亡率为 22%(95%CI:15.33,28.93),异质性很高(I2 = 97%)。汇总生存率为 78%(95%CI:71.07,84.67),也表现出显著的异质性(I2 = 97%)。亚组分析和荟萃回归强调,研究类型、人口统计学因素和患者合并症显著影响了观察到的结果异质性,揭示了不同的模式。对于年龄中位数大于 67 岁的参与者,死亡率增加了 15%。ICU 入住率与肥胖呈正相关,肥胖程度至少为 19%的组增加了 20%。肥胖程度至少为 19%的组死亡率上升了 33%,而同一组的生存率下降了 33%。
我们的荟萃分析揭示了多发性骨髓瘤患者 COVID-19 多种结局的情况。异质性突显了复杂性,研究类型、人口统计学因素和合并症显著影响了结果,强调了因素之间的细微相互作用。