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A nomogram for predicting in-hospital overall survival of hypertriglyceridemia-induced severe acute pancreatitis: A single center, cross-sectional study.
Wu, Hongsheng; Liao, Biling; Ji, Tengfei; Jia, Shichao; Luo, Yumei; Ma, Keqiang.
Afiliação
  • Wu H; Department of Hepatobiliary Pancreatic Surgery, Huadu District People's Hospital of Guangzhou, Guangzhou, 510800, Guangdong, PR China.
  • Liao B; Department of Hepatobiliary Pancreatic Surgery, Huadu District People's Hospital of Guangzhou, Guangzhou, 510800, Guangdong, PR China.
  • Ji T; Department of Hepatobiliary Pancreatic Surgery, Huadu District People's Hospital of Guangzhou, Guangzhou, 510800, Guangdong, PR China.
  • Jia S; Information Network Center, Huadu District People's Hospital of Guangzhou, Guangzhou, Guangzhou, 510800, Guangdong, PR China.
  • Luo Y; Department of Hepatobiliary Pancreatic Surgery, Huadu District People's Hospital of Guangzhou, Guangzhou, 510800, Guangdong, PR China.
  • Ma K; Department of Hepatobiliary Pancreatic Surgery, Huadu District People's Hospital of Guangzhou, Guangzhou, 510800, Guangdong, PR China.
Heliyon ; 10(1): e23454, 2024 Jan 15.
Article em En | MEDLINE | ID: mdl-38173503
ABSTRACT

Background:

Hypertriglyceridemia-induced severe acute pancreatitis (HTG-SAP) is a type of pancreatitis characterized by an abnormal elevation of plasma triglyceride. HTG-SAP has been associated with various complications and a high mortality rate. In this study, we established a nomogram for predicting the overall survival (OS) of HTG-SAP patients during hospitalization.

Methods:

128 HTG-SAP cases hospitalized at the Affiliated Huadu Hospital, Southern Medical University, from 2019 to 2022 were analyzed retrospectively. A nomogram including prognostic factors correlated with OS during hospitalization was established by multivariate Cox regression analysis. We internally validated the nomogram using time-dependent (at 1-, 2-, and 3- months) survival receiver operating characteristic (SROC) and calibration curve with 500 iterations of bootstrap resampling. Time-dependent decision curve analysis (DCA) was employed to validate the clinical value of the nomogram.

Results:

Multivariate Cox regression indicated that serum triglyceride, red blood cell distribution width (RDW), lactic acid, and interleukin-6 (IL6) were independent prognostic factors for OS of HTG-SAP patients during hospitalization and were used to construct a nomogram. The time-dependent area under the curve (AUC) values at 1-, 2-, and 3- months were 0.946, 0.913, and 0.929, respectively, and the Concordance index (C-index) of the nomogram was 0.916 (95%CI 0.871-0.961). The time-dependent calibration curves indicated good consistency between the observed and predicted outcomes. The time-dependent DCAs also revealed that the nomogram yielded a high clinical net benefit. After stratifying the included cases into two risk groups based on the risk score obtained from the nomogram, the high-risk group exhibited a significantly inferior overall survival (OS) compared to the low-risk group (p < 0.0001).

Conclusions:

Our nomogram exhibited good performance in predicting the overall survival of HTG-SAP patients during hospitalization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article