Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Physiology and Anesthesiology, Medical College of Wisconsin, Milwaukee, Wisconsin.
J Surg Res. 2024 Sep;301:71-79. doi: 10.1016/j.jss.2024.05.034. Epub 2024 Jun 24.
The COVID-19 pandemic has significantly influenced surgical practices, with SARS-CoV-2 variants presenting unique pathologic profiles and potential impacts on perioperative outcomes. This study explores associations between Alpha, Delta, and Omicron variants of SARS-CoV-2 and surgical outcomes.
We conducted a retrospective analysis using the National COVID Cohort Collaborative database, which included patients who underwent selected major inpatient surgeries within eight weeks post-SARS-CoV-2 infection from January 2020 to April 2023. The viral variant was determined by the predominant strain at the time of the patient's infection. Multivariable logistic regression models explored the association between viral variants, COVID-19 severity, and 30-d major morbidity or mortality.
The study included 10,617 surgical patients with preoperative COVID-19, infected by the Alpha (4456), Delta (1539), and Omicron (4622) variants. Patients infected with Omicron had the highest vaccination rates, most mild disease, and lowest 30-d morbidity and mortality rates. Multivariable logistic regression demonstrated that Omicron was linked to a reduced likelihood of adverse outcomes compared to Alpha, while Delta showed odds comparable to Alpha. Inclusion of COVID-19 severity in the model rendered the odds of major morbidity or mortality equal across all three variants.
Our study examines the associations between the clinical and pathological characteristics of SARS-CoV-2 variants and surgical outcomes. As novel SARS-CoV-2 variants emerge, this research supports COVID-19-related surgical policy that assesses the severity of disease to estimate surgical outcomes.
COVID-19 大流行极大地影响了外科实践,SARS-CoV-2 的变体呈现出独特的病理特征,并可能对围手术期结果产生影响。本研究探讨了 SARS-CoV-2 的 Alpha、Delta 和 Omicron 变体与手术结果之间的关联。
我们使用国家 COVID 队列协作数据库进行了回顾性分析,该数据库包含了 2020 年 1 月至 2023 年 4 月期间在 SARS-CoV-2 感染后八周内接受选定主要住院手术的患者。病毒变体是通过患者感染时的主要菌株确定的。多变量逻辑回归模型探讨了病毒变体、COVID-19 严重程度与 30 天主要发病率或死亡率之间的关系。
本研究纳入了 10617 例术前患有 COVID-19 的手术患者,他们感染了 Alpha(4456)、Delta(1539)和 Omicron(4622)变体。感染 Omicron 的患者疫苗接种率最高,疾病最轻微,30 天发病率和死亡率最低。多变量逻辑回归表明,与 Alpha 相比,Omicron 与不良结果的可能性降低相关,而 Delta 的可能性与 Alpha 相当。在模型中纳入 COVID-19 严重程度后,所有三种变体的主要发病率或死亡率的可能性相等。
本研究检查了 SARS-CoV-2 变体的临床和病理特征与手术结果之间的关系。随着新型 SARS-CoV-2 变体的出现,这项研究支持 COVID-19 相关的外科政策,该政策评估疾病的严重程度以估计手术结果。