HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus

Aim. To establish a new score model to predict risk of death in patients with hepatocellular carcinoma and type 2 diabetes mellitus. Methods. This was a retrospective study of 147 patients with hepatocellular carcinoma and type 2 diabetes mellitus who came to Beijing Ditan Hospital between October 2...

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Main Authors: Lingling He, Shuan Zhang, Xiaoli Liu, Yuyong Jiang, Xianbo Wang, Zhiyun Yang
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2017/3819502
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author Lingling He
Shuan Zhang
Xiaoli Liu
Yuyong Jiang
Xianbo Wang
Zhiyun Yang
author_facet Lingling He
Shuan Zhang
Xiaoli Liu
Yuyong Jiang
Xianbo Wang
Zhiyun Yang
author_sort Lingling He
collection DOAJ
description Aim. To establish a new score model to predict risk of death in patients with hepatocellular carcinoma and type 2 diabetes mellitus. Methods. This was a retrospective study of 147 patients with hepatocellular carcinoma and type 2 diabetes mellitus who came to Beijing Ditan Hospital between October 2008 and June 2013. Univariate and multivariate logistic regression analysis was performed to obtain the independent factors associated with death risk. A new score model was devised according to these factors. Results. A prediction score model composed of HbA1c, NLR, age, and CTP class was devised, which ranged from 0 to 7. AUROC of the score was 0.853 (P<0.001, 95% CI: 0.791–0.915). Scores 0–2, 3-4, and 5–7 identified patients as low-, medium-, and high-risk categories. The cumulative survival rate was 93.6%, 83.0%, and 74.5% in the low-risk group in 1, 2, and 3 years, while it was 64.0%, 46.0%, and 26.0% in the medium-risk group, whereas it was 24.0%, 12.0%, and 6.0% in the high-risk group, respectively. The cumulative survival rate was significantly higher in the low-risk group than that in the medium-risk group and high-risk group (P<0.001). Conclusion. The HbA1c-based score model can be used to predict death risk in patients with hepatocellular carcinoma and type 2 diabetes mellitus.
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series Journal of Diabetes Research
spelling doaj-art-86c671e8c5c44345bf18f67675b288b62025-02-03T05:47:02ZengWileyJournal of Diabetes Research2314-67452314-67532017-01-01201710.1155/2017/38195023819502HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes MellitusLingling He0Shuan Zhang1Xiaoli Liu2Yuyong Jiang3Xianbo Wang4Zhiyun Yang5Department of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaDepartment of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaDepartment of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaDepartment of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaDepartment of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaDepartment of Traditional Chinese Medicine, Beijing Ditan Hospital and Collaborative Innovation Center of Infectious Diseases, Capital Medical University, Chaoyang, Beijing 100015, ChinaAim. To establish a new score model to predict risk of death in patients with hepatocellular carcinoma and type 2 diabetes mellitus. Methods. This was a retrospective study of 147 patients with hepatocellular carcinoma and type 2 diabetes mellitus who came to Beijing Ditan Hospital between October 2008 and June 2013. Univariate and multivariate logistic regression analysis was performed to obtain the independent factors associated with death risk. A new score model was devised according to these factors. Results. A prediction score model composed of HbA1c, NLR, age, and CTP class was devised, which ranged from 0 to 7. AUROC of the score was 0.853 (P<0.001, 95% CI: 0.791–0.915). Scores 0–2, 3-4, and 5–7 identified patients as low-, medium-, and high-risk categories. The cumulative survival rate was 93.6%, 83.0%, and 74.5% in the low-risk group in 1, 2, and 3 years, while it was 64.0%, 46.0%, and 26.0% in the medium-risk group, whereas it was 24.0%, 12.0%, and 6.0% in the high-risk group, respectively. The cumulative survival rate was significantly higher in the low-risk group than that in the medium-risk group and high-risk group (P<0.001). Conclusion. The HbA1c-based score model can be used to predict death risk in patients with hepatocellular carcinoma and type 2 diabetes mellitus.http://dx.doi.org/10.1155/2017/3819502
spellingShingle Lingling He
Shuan Zhang
Xiaoli Liu
Yuyong Jiang
Xianbo Wang
Zhiyun Yang
HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
Journal of Diabetes Research
title HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
title_full HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
title_fullStr HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
title_full_unstemmed HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
title_short HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus
title_sort hba1c based score model for predicting death risk in patients with hepatocellular carcinoma and type 2 diabetes mellitus
url http://dx.doi.org/10.1155/2017/3819502
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