• S W Wen, R Hernandez, and C D Naylor.
• Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
• JAMA. 1995 Dec 6; 274 (21): 1687-91.

ObjectivesTo assess the short-term outcomes of incidental appendectomy through analysis of hospital administrative data and determine the consistency and plausibility of the observed results.DesignPopulation-based historical cohort study.SettingAll general hospitals in Ontario between 1981 and 1990.PatientsPatients undergoing open primary cholecystectomy with (7846 exposed) and without (191,599 unexposed) incidental appendectomy.Main Outcome MeasuresIn-hospital fatality rates, complication rates, and lengths of hospital stay.ResultsCrude comparisons showed a striking and paradoxical reduction in mortality after cholecystectomy when incidental appendectomy was performed (odds ratio [OR], 0.37; 95% confidence interval [CI], 0.23 to 0.57; P < .001); mean length of stay was also lower by -0.46 day (P < .001). After adjustment for confounding differences, such as comorbidity and nonelective surgery, mortality and lengths of stay were similar for exposed and unexposed patients; but exposed patients showed a significant increase in nonfatal complications (OR, 1.53; 95% CI, 1.39 to 1.68; P < .001). Adverse effects from incidental appendectomy emerged consistently for all three outcomes only after restricting the analysis to subgroups of patients at low surgical risk. The increased mortality for exposed patients was largest among low-risk groups; for example, among those younger than 70 years undergoing elective surgery, the OR was 2.65 (95% CI, 1.25 to 5.64; P < .001).ConclusionThese findings suggest that incidental appendectomy is associated with a small but definite increase in adverse postoperative outcomes. However, plausible and consistent findings were only obtained after restricting the analysis to low-risk subgroups in which unmeasured differences in patients' baseline characteristics were less likely to confound adjusted outcome comparisons. This exercise highlights the potential pitfalls in nonrandomized outcomes comparisons using data sources with limited clinical detail, such as hospital discharge abstracts.

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