Key Takeaways
- Appendicitis is the most common cause of acute surgical abdomen in the United States (incidence and emergency surgery context).
- 2019–2020 U.S. hospitalization rates show appendicitis as one of the leading causes of emergency abdominal surgery (rate varies by age and sex in NIS analyses).
- In the Global Burden of Disease (GBD) study, appendicitis is included within causes of ‘appendicitis’ with measurable incident cases and disability-adjusted life years (DALYs) by country and year.
- ~23% of patients with acute appendicitis are complicated by perforation, according to a meta-analysis estimate.
- Children with perforated appendicitis have a longer length of hospital stay than those with non-perforated appendicitis: 9.9 vs 3.2 days (reported in a U.S. multicenter study).
- In a systematic review/meta-analysis, laparoscopic appendectomy reduced surgical site infection compared with open surgery (RR reported with a statistically significant reduction).
- In CODA, antibiotic-first was associated with a lower rate of immediate adverse events compared with surgery (treatment-effect context in trial).
- In U.S. children, laparoscopic appendectomy adoption reached a majority share by the late 2000s/early 2010s in national data analyses.
- A U.S. national cohort study found that outpatient/observation patterns for uncomplicated appendicitis shifted over time following evidence for less invasive care.
Appendicitis drives frequent emergency surgery, and perforation and delayed care raise risks while laparoscopic approaches improve outcomes.
Related reading
Disease Burden
Disease Burden Interpretation
Clinical Outcomes
Clinical Outcomes Interpretation
More related reading
Treatment Patterns
Treatment Patterns Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 13). Appendicitis Statistics. Gitnux. https://gitnux.org/appendicitis-statistics
Emilia Santos. "Appendicitis Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/appendicitis-statistics.
Emilia Santos. 2026. "Appendicitis Statistics." Gitnux. https://gitnux.org/appendicitis-statistics.
References
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