Clinical Features and Outcome of General Surgery Patients with COVID-19 Infection in General Surgery Department

Vania Idelia Winantyo1* and Sahudi Sahudi2

Abstract

Background: COVID-19 has remarkable impacts on all aspect of healthcare system. Many centres reported a decrease of emergency cases, and most of the elective cases is postponed. In this study we aimed to examine the demographic data, clinical profiles, and outcomes of subjects infected with COVID-19 in General Surgery Department. Methods: Seventy patients were admitted in General Surgery Department with confirmed-COVID-19 infection during May 1, 2020 – April 31, 2021. COVID-19 infection was diagnosed using quantitative reverse transcriptase polymerase chain reaction analysis. We collected patients’ data from the medical records. Results: Sixty-one patients (87.1%) were emergency cases. Thirty-two patients (45.7%) were treated operatively. The most prevalent cases were from digestive surgery (44.3%). Most of the patients contracted COVID-19 before the admission in the hospital (74.3%). We found that 43 patients had at least 1 comordity (61.4%) and 67 patients developed complications during treatment (95.7%). There was a significant association between the case of ARDS and the clinical outcome (P < 0.0001; OR = 45.000; 95% CI = 5.310–381.356). There was no significant association found between sex, age, comorbidity hypertension, and diabetes mellitus. Conclusion: Comorbidity and complication was found to be highly prevalent in COVID-19 patients with poor outcome in General Surgery Department.

Keywords

COVID-19; general surgery; SARS-CoV-2

Cite This Article

Winantyo, V. I., Sahudi, S. (2022). Clinical Features and Outcome of General Surgery Patients with COVID-19 Infection in General Surgery Department. International Journal of Scientific Advances (IJSCIA), Volume 3| Issue 4: Jul-Aug 2022, Pages 600-604, URL: https://www.ijscia.com/wp-content/uploads/2022/08/Volume3-Issue4-Jul-Aug-No.316-600-604.pdf

Volume 3 | Issue 4: Jul-Aug 2022 

 

ISSN: 2708-7972

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This work is licensed under a Creative Commons Attribution 4.0 (International) Licence.(CC BY-NC 4.0).

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