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. 2024 Sep 26;13(19):5734.
doi: 10.3390/jcm13195734.

Pericholecystic Fat Stranding as a Predictive Factor of Length of Stays of Patients with Acute Cholecystitis: A Novel Scoring Model

Suh-Won Lee  1 , Cheng-Han Tsai  1 , Hui-An Lin  1   2   3 , Yu Chen  1 , Sen-Kuang Hou  1   2 , Sheng-Feng Lin  1   3   4   5
Affiliations

Pericholecystic Fat Stranding as a Predictive Factor of Length of Stays of Patients with Acute Cholecystitis: A Novel Scoring Model

Suh-Won Lee et al. J Clin Med. .

Abstract

Background: The 2018 Tokyo Guidelines (TG18) are used to classify the severity of acute cholecystitis (AC) but insufficient to predict the length of hospital stay (LOS). Methods: For patients with AC, clinical factors and computed tomography features, including our proposed grading system of pericholecystic fat stranding were used for predicting an LOS of ≥7 days in the logistic regression models. Results: Our multivariable model showed age ≥ 65 years (OR: 2.56, p < 0.001), C-reactive protein (CRP) ≥ 2 mg/dL (OR: 1.97, p = 0.013), gamma-glutamyltransferase levels (OR: 2.460, p = 0.001), TG18 grade (OR: 2.89 per grade, p < 0.001), and moderate to severe pericholecystic fat stranding (OR: 2.14, p = 0.012) exhibited prolonged LOS ≥ 7 days. Conclusions: We developed a scoring model, including TG18 grades (score of 1-3 per grade), our grading system of fat stranding (score of 1), CRP (score of 1), and gamma-glutamyltransferase (score of 1), and a cutoff of >3 had highest diagnostic performance.

Keywords: Tokyo guidelines; acute cholecystitis; computed tomography; length of stays; pericholecystic fat stranding.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Categorization of fat stranding signs. (a) Grade 0: no pericholecystic fat stranding or gallbladder wall thickening. (b) Grade 1: gallbladder wall thickening > 0.3 cm without pericholecystic fat stranding. (c) Grade 2: linear pericholecystic fat stranding. (d) Grade 3: prominent pericholecystic reticular dirty fat.
Figure 2
Figure 2
Receiver of operating characteristic curve of the multivariable model.
Figure 3
Figure 3
Receiver of operating characteristic curve of the scoring system model.
See this image and copyright information in PMC

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