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. 2020 Oct 14;273(1):34–40. doi: 10.1097/SLA.0000000000004420

TABLE 4.

Matched Analysis of COVID-19 Positive and Negative Surgical Patients

COVID-19 Positive COVID-19 Negative
(N = 35) (N = 35) P-value
Age median (IQR) 61 (38–70) 60 (44–72) 0.96
Male 21 (60.0) 17 (48.6) 0.34
ASA 0.46
 1–2 12 (34.3) 12 (34.3)
 3 13 (36.1) 17 (48.2)
 4–5 10 (27.8) 6 (17.1)
Any comorbidity 26 (74.3) 24 (68.6) 0.60
Functional status 0.72
 Independent 30 (85.7) 31 (88.6)
 Dependent 5 (14.3) 4 (11.4)
Urgency of procedure 1.00
 Emergent 12 (34.3) 12 (34.3)
 Urgent 23 (65.7) 23 (65.7)
McNemar's Chi-Square Test Exact conditional Logistic Regression OR (95% CI)
ICU admission 13 (37.1) 7 (20.0) 0.0833 3.00 (0.75–17.23)
Serious complications 20 (57.1) 5 (14.3) 0.0006 8.50 (2.02–75.85)
Death 6 (17.1) 1 (2.9) 0.0253 6.73 (1.22-infinity)

A nested 1:1 case-control study was conducted as the sensitivity analysis where each COVID-19 positive patient was matched to 1 negative control patient with a similar surgical procedure and ASA status as well as the difference of age within 10 years. McNemar Chi-Square test was used to compare the discordant pairs on the outcomes of ICU admission, severe complications, and death. Conditional logistic regression models were employed to estimate the odds ratio of outcomes of interest for the COVID-19 positive patients compared to negative controls. IQR, Interquartile Range.

P-value <0.05.