Factors Associated With Surgical Mortality and Complications Among Patients With and Without Coronavirus Disease 2019 (COVID-19) in Italy

Francesco Doglietto, Marika Vezzoli, Federico Gheza, Gian Luca Lussardi, Marco Domenicucci, Luca Vecchiarelli, Luca Zanin, Giorgio Saraceno, Liana Signorini, Pier Paolo Panciani, Francesco Castelli, Roberto Maroldi, Francesco Antonio Rasulo, Mauro Roberto Benvenuti, Nazario Portolani, Stefano Bonardelli, Giuseppe Milano, Alessandro Casiraghi, Stefano Calza, Marco Maria Fontanella, Francesco Doglietto, Marika Vezzoli, Federico Gheza, Gian Luca Lussardi, Marco Domenicucci, Luca Vecchiarelli, Luca Zanin, Giorgio Saraceno, Liana Signorini, Pier Paolo Panciani, Francesco Castelli, Roberto Maroldi, Francesco Antonio Rasulo, Mauro Roberto Benvenuti, Nazario Portolani, Stefano Bonardelli, Giuseppe Milano, Alessandro Casiraghi, Stefano Calza, Marco Maria Fontanella

Abstract

Importance: There are limited data on mortality and complications rates in patients with coronavirus disease 2019 (COVID-19) who undergo surgery.

Objective: To evaluate early surgical outcomes of patients with COVID-19 in different subspecialties.

Design, setting, and participants: This matched cohort study conducted in the general, vascular and thoracic surgery, orthopedic, and neurosurgery units of Spedali Civili Hospital (Brescia, Italy) included patients who underwent surgical treatment from February 23 to April 1, 2020, and had positive test results for COVID-19 either before or within 1 week after surgery. Gynecological and minor surgical procedures were excluded. Patients with COVID-19 were matched with patients without COVID-19 with a 1:2 ratio for sex, age group, American Society of Anesthesiologists score, and comorbidities recorded in the surgical risk calculator of the American College of Surgeons National Surgical Quality Improvement Program. Patients older than 65 years were also matched for the Clinical Frailty Scale score.

Exposures: Patients with positive results for COVID-19 and undergoing surgery vs matched surgical patients without infection. Screening for COVID-19 was performed with reverse transcriptase-polymerase chain reaction assay in nasopharyngeal swabs, chest radiography, and/or computed tomography. Diagnosis of COVID-19 was based on positivity of at least 1 of these investigations.

Main outcomes and measures: The primary end point was early surgical mortality and complications in patients with COVID-19; secondary end points were the modeling of complications to determine the importance of COVID-19 compared with other surgical risk factors.

Results: Of 41 patients (of 333 who underwent operation during the same period) who underwent mainly urgent surgery, 33 (80.5%) had positive results for COVID-19 preoperatively and 8 (19.5%) had positive results within 5 days from surgery. Of the 123 patients of the combined cohorts (78 women [63.4%]; mean [SD] age, 76.6 [14.4] years), 30-day mortality was significantly higher for those with COVID-19 compared with control patients without COVID-19 (odds ratio [OR], 9.5; 95% CI, 1.77-96.53). Complications were also significantly higher (OR, 4.98; 95% CI, 1.81-16.07); pulmonary complications were the most common (OR, 35.62; 95% CI, 9.34-205.55), but thrombotic complications were also significantly associated with COVID-19 (OR, 13.2; 95% CI, 1.48-∞). Different models (cumulative link model and classification tree) identified COVID-19 as the main variable associated with complications.

Conclusions and relevance: In this matched cohort study, surgical mortality and complications were higher in patients with COVID-19 compared with patients without COVID-19. These data suggest that, whenever possible, surgery should be postponed in patients with COVID-19.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Castelli reported grants from Gilead outside the submitted work. No other disclosures were reported.

Figures

Figure.. Classification Tree for Complications and Their…
Figure.. Classification Tree for Complications and Their Associated Variables
Each leaf of the tree (in color) is classified according to the most frequent class in it (majority vote rule); blue, dark blue, and gray are for none, mild, and severe complications, respectively. The root node (containing all observations) is automatically divided by the algorithm with respect to the group variable: control patients are positioned on the left of the tree and coronavirus disease 2019 (COVID-19) on the right. The control branches lead to blue or dark blue leaves. In contrast, the COVID-19 branch leads to a unique gray leaf classified as severe complications. CRP indicates C-reactive protein; obs, observed.

Source: PubMed

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