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CT Quantitation and Prediction of the Risk of Type 2 Diabetes Mellitus in Non-Obese Patients with Pancreatic Fatty Infiltration.
Tang, Yi; Wei, Zemin; Li, Ning; Jiang, Chao; Liang, Chen; Sun, Lulu; Tian, Lufeng; Jin, Zhengyu; Wu, Zhe; Sun, Hao.
Afiliação
  • Tang Y; Department of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Wei Z; Department of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Li N; Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Jiang C; Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Liang C; Department of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Sun L; Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Tian L; Department of Internal Medicine, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Jin Z; Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Wu Z; Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
  • Sun H; Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Diabetes Metab Syndr Obes ; 17: 2619-2625, 2024.
Article em En | MEDLINE | ID: mdl-38974951
ABSTRACT

Purpose:

To examine the risk of type 2 diabetes mellitus in non-obese patients with pancreatic fatty infiltration through abdominal computed tomography (CT) quantitation. Patients and

Methods:

We carried out a retrospective analysis of abdominal CT and inpatient medical records of 238 inpatients from July 2019 to April 2021. The patients were divided into a normal non-obese group (BMI < 25, n = 135) and diabetic non-obese group (BMI < 25, n = 103). Abdominal CT-related parameters included body width; mean CT values of the pancreas, liver, and spleen; difference between pancreas and spleen CT values (P-S); pancreas-to-spleen attenuation ratio (P/S); and liver-to-spleen attenuation ratio (L/S). Logistic regression was used to estimate the risk factors for comorbid diabetes in a non-obese population.

Results:

The P-values of the pancreas CT value, P-S, P/S, body width, and L/S were all <0.05 and correlated to comorbid diabetes in non-obese patients. Worsening pancreatic fatty infiltration increased the risk of developing diabetes. Using a P/S of 1.0 as reference, every successive decrease in this ratio by 0.1 increases patient risk by 3.981, 4.452, 6.037, and 12.937 times.

Conclusion:

The risk of developing type 2 diabetes mellitus in non-obese patients increases with the degree of pancreatic fatty infiltration as assessed by CT.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diabetes Metab Syndr Obes Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diabetes Metab Syndr Obes Ano de publicação: 2024 Tipo de documento: Article