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Published on: June 11, 2012
Hypoglycemia is a strong independent predictor of mortality in acute calculous cholecystitis
Shachar Laks1, Eyal Leibovitz2, Chaled Alnakib1
1Department of Surgery "A", Edith Wolfson Medical Center, Holon, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Insights
Hypoglycemia in acute calculous cholecystitis predicts mortality, especially in lower Tokyo classifications. This finding offers a new prognostic tool for patient outcomes.
Area of Science:
- Gastroenterology
- Surgical Outcomes
- Critical Care Medicine
Background:
- Acute calculous cholecystitis is a common cause of surgical admission with significant mortality.
- The Tokyo classification aids outcome prediction but is limited in lower severity scores.
- Hypoglycemia is a known marker for adverse outcomes in various medical conditions.
Purpose of the Study:
- To investigate hypoglycemia as a prognostic marker for mortality in acute calculous cholecystitis.
- To assess the independent association of hypoglycemia with mortality across different Tokyo classification scores.
Main Methods:
- Retrospective cohort study of 1,447 patients with acute calculous cholecystitis (January 2015-December 2018).
- Data collected included demographics, clinical factors, laboratory results, Tokyo score, ASA score, and mortality.
- Hypoglycemia defined as serum glucose ≤70 mg/dL; Cox regression analyzed mortality predictors.
Main Results:
- 15% of patients experienced hypoglycemia, with a median hospital day of 2.
- Overall mortality was 6.8%; mortality rates varied by Tokyo score (2.5% for Tokyo 1, 7.9% for Tokyo 2, 24.5% for Tokyo 3).
- Hypoglycemia independently predicted mortality (HR 2.006, P=.001), particularly in Tokyo 1 (HR 3.258, P=.041) and Tokyo 2 (HR 1.841, P=.049) classifications.
Conclusions:
- Hypoglycemia is a frequent and significant predictor of mortality in acute calculous cholecystitis.
- This association is independent of established scoring systems like Tokyo and ASA.
- Hypoglycemia serves as a valuable prognostic tool, especially for patients with lower Tokyo scores lacking precise predictive capabilities.
Background:
Acute calculous cholecystitis is a frequent reason for surgical admissions. Most patients improve, but 0.6%-6.0% succumb to their disease. The Tokyo classification helps predict outcomes, but only in Tokyo 3, which represents a small portion of patients admitted and who will experience mortality. We lack accurate predictive tools in lower Tokyo scores. Hypoglycemia has been demonstrated as a prognostic marker of poor outcomes in other settings.
Methods:
Single-center retrospective cohort study of acute calculous cholecystitis between January 2015 and December 2018. Demographic, clinical, and laboratory data were collected, including treatments, intensive care unit admission, Tokyo score, American Society of Anesthesiology score, and mortality. Hypoglycemia was defined as any documented serum glucose ≤70 mg/dL (3.89 mmol/L), regardless of symptoms. Cox regression was performed to ascertain parameters independently associated with mortality.
Results:
Included 1,447 patients with acute calculous cholecystitis. The incidence of hypoglycemia was 15% and occurred on a median hospital day 2. Mortality occurred in 6.8% of the entire cohort, and specifically, in 2.5%, 7.9%, and 24.5% in Tokyo 1, 2, and 3, respectively. Cox regression showed age (hazard ratio, 1.071; P < .001), intensive care unit admission (hazard ratio, 15.8; P < .001), Tokyo score (hazard ratio, 1.792; P = .001), and hypoglycemia (hazard ratio, 2.006; P = .001) independently associated with mortality. Regression models for each Tokyo score demonstrated that hypoglycemia was associated with mortality in Tokyo 1 with a hazard ratio of 3.258 (P = .041) and in Tokyo 2 with a hazard ratio of 1.841 (P = .049).
Conclusion:
Hypoglycemia occurs frequently in acute calculous cholecystitis and is a significant prognosticator of mortality, independent of Tokyo and American Society of Anesthesiology guidelines. This is specifically powerful and useful in lower Tokyo classifications that lack accurate predictive tools.
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