Laparoscopic cholecystectomy: do risk factors for a prolonged length of stay exist?

Valter Ripetti1, Paolo Luffarelli2, Simone Santoni1

  • 1General Surgery, Campus Bio-Medico University of Rome, Via Alvaro del Portillo, 200, 00128, Rome, Italy.

Updates in Surgery
|March 20, 2019
PubMed

Insights

Identifying patients at high risk for prolonged hospitalization after laparoscopic cholecystectomy is crucial. Patient age, not surgical complications, is the primary predictor of longer hospital stays for gallstone disease.

Area of Science:

  • Gastroenterology and Hepatobiliary Surgery
  • Surgical Outcomes Research

Background:

  • Gallstones are a prevalent global health issue.
  • Laparoscopic cholecystectomy is the standard treatment for gallstones.
  • Predictive factors for day-surgery laparoscopic cholecystectomy require further investigation.

Purpose of the Study:

  • To identify clinical factors predicting prolonged hospital stay after elective laparoscopic cholecystectomy.
  • To enhance the safety and efficiency of day-surgery cholecystectomy.

Main Methods:

  • Retrospective analysis of 985 patients undergoing elective laparoscopic cholecystectomy for gallstone disease.
  • Patients categorized into two groups based on length of stay: ≤2 days (Group A) and >2 days (Group B).
  • Univariate and logistic regression analyses employed to identify significant predictors of prolonged hospitalization.

Main Results:

  • Univariate analysis indicated age, sex, obesity, and cardiological/nephrological comorbidities were associated with longer stays.
  • Logistic regression identified age as the sole significant predictor of extended hospitalization.
  • No surgical complications were statistically significant in extending length of stay; comorbidities were influential.

Conclusions:

  • Patient age is a key factor in predicting prolonged hospitalization post-laparoscopic cholecystectomy.
  • Comorbidities, rather than surgical complications, significantly influence hospitalization duration.
  • This study aids in identifying high-risk patients for extended stays, optimizing day-surgery protocols.

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