An Index Predicting Histological Acute Cholecystitis in Patients Undergoing an Urgent Laparoscopic Cholecystectomy.


Journal

The Israel Medical Association journal : IMAJ
ISSN: 1565-1088
Titre abrégé: Isr Med Assoc J
Pays: Israel
ID NLM: 100930740

Informations de publication

Date de publication:
Apr 2022
Historique:
entrez: 13 4 2022
pubmed: 14 4 2022
medline: 15 4 2022
Statut: ppublish

Résumé

It is important to predict acute cholecystitis (AC) before a laparoscopic cholecystectomy because inflammation of the gallbladder predicts the need for open conversion and subsequent morbidity after a laparoscopic cholecystectomy. To create an index based on clinical, laboratory, and ultrasound criteria on admission that will predict AC on pathological examination in patients presenting acutely. We retrospectively reviewed consecutive cases of emergency laparoscopic cholecystectomies conducted by three experienced surgeons between 1 October 2014 and 31 January 2018. Independent variables were age, sex, presenting symptoms, admission laboratory tests, and ultrasound findings. The outcome variable was AC on histological examination. An index was created from all variables that added significantly to the logistic regression analysis. Eight variables that contributed significantly to the model, included age, male sex, vomiting on admission, an increased proportion of neutrophils, a normal aspartate aminotransferase test, a normal serum amylase test result, a thick gall bladder wall, and pericholecystic fluid. An index of ≤ 2 to ≥ 8 created from those variables had a graded risk for AC of 1.8% to 92.0% with a c-statistic of 0.86 (95% confidence interval 0.81-0.91). Operating time and bleeding increased in those with a higher index. An index including age, sex, symptoms, and selected laboratory results as well as ultrasound characteristics had an excellent graded risk in the prediction of histological AC that was associated with operating time and an increased risk of bleeding during the operation.

Sections du résumé

BACKGROUND BACKGROUND
It is important to predict acute cholecystitis (AC) before a laparoscopic cholecystectomy because inflammation of the gallbladder predicts the need for open conversion and subsequent morbidity after a laparoscopic cholecystectomy.
OBJECTIVES OBJECTIVE
To create an index based on clinical, laboratory, and ultrasound criteria on admission that will predict AC on pathological examination in patients presenting acutely.
METHODS METHODS
We retrospectively reviewed consecutive cases of emergency laparoscopic cholecystectomies conducted by three experienced surgeons between 1 October 2014 and 31 January 2018. Independent variables were age, sex, presenting symptoms, admission laboratory tests, and ultrasound findings. The outcome variable was AC on histological examination. An index was created from all variables that added significantly to the logistic regression analysis.
RESULTS RESULTS
Eight variables that contributed significantly to the model, included age, male sex, vomiting on admission, an increased proportion of neutrophils, a normal aspartate aminotransferase test, a normal serum amylase test result, a thick gall bladder wall, and pericholecystic fluid. An index of ≤ 2 to ≥ 8 created from those variables had a graded risk for AC of 1.8% to 92.0% with a c-statistic of 0.86 (95% confidence interval 0.81-0.91). Operating time and bleeding increased in those with a higher index.
CONCLUSIONS CONCLUSIONS
An index including age, sex, symptoms, and selected laboratory results as well as ultrasound characteristics had an excellent graded risk in the prediction of histological AC that was associated with operating time and an increased risk of bleeding during the operation.

Identifiants

pubmed: 35415983

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

241-245

Auteurs

Mohamed Abou Arisheh (M)

Department of General Surgery, Sanz Medical Center-Laniado Hospital, Netanya, Israel.

Paul Froom (P)

Department of Clinical Utility, Sanz Medical Center-Laniado Hospital, Netanya, Israel.
School of Public Health, University of Tel Aviv, Israel.

Zvi Shimoni (Z)

Department of Medical Director, Sanz Medical Center-Laniado Hospital, Netanya, Israel.
Adelson School of Medicine, Ariel University, Ariel, Israel.

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