TY - JOUR
T1 - Assessing mortality risk in Type 2 Diabetes patients with prolonged ASCVD risk factors
T2 - the inclusive Poh-Ai predictive scoring system with CAC Score integration
AU - Lei, Meng Huan
AU - Hsu, Yu Chen
AU - Chung, Sheng Liang
AU - Chen, Chao Chin
AU - Chen, Wei Cheng
AU - Chen, Wan Ming
AU - Jao, An Tzu
AU - Hsiao, Ju Feng
AU - Hsu, Jen Te
AU - Wu, Szu Yuan
N1 - © 2024. The Author(s).
PY - 2024/5/19
Y1 - 2024/5/19
N2 - PURPOSE: To enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic Cardiovascular Disease (ASCVD) risk factors. Despite the utility of the Coronary Artery Calcium (CAC) score in assessing cardiovascular risk, its capacity to predict all-cause mortality remains limited.METHODS: A retrospective cohort study included 1929 asymptomatic T2DM patients with ASCVD risk factors, aged 40-80. Variables encompassed demographic attributes, clinical parameters, CAC scores, comorbidities, and medication usage. Factors predicting all-cause mortality were selected to create a predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups.RESULTS: In our analysis of all-cause mortality in T2DM patients with extended ASCVD risk factors over 5 years, we identified significant risk factors, their adjusted hazard ratios (aHR), and scores: e.g., CAC score > 1000 (aHR: 1.57, score: 2), CAC score 401-1000 (aHR: 2.05, score: 2), and more. These factors strongly predict all-cause mortality, with varying risk groups (e.g., very low-risk: 2.0%, very high-risk: 24.0%). Significant differences in 5-year overall survival rates were observed among these groups (log-rank test < 0.001).CONCLUSION: The Poh-Ai Predictive Scoring System excels in forecasting mortality and cardiovascular events in individuals with Type 2 Diabetes Mellitus and extended ASCVD risk factors.
AB - PURPOSE: To enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic Cardiovascular Disease (ASCVD) risk factors. Despite the utility of the Coronary Artery Calcium (CAC) score in assessing cardiovascular risk, its capacity to predict all-cause mortality remains limited.METHODS: A retrospective cohort study included 1929 asymptomatic T2DM patients with ASCVD risk factors, aged 40-80. Variables encompassed demographic attributes, clinical parameters, CAC scores, comorbidities, and medication usage. Factors predicting all-cause mortality were selected to create a predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups.RESULTS: In our analysis of all-cause mortality in T2DM patients with extended ASCVD risk factors over 5 years, we identified significant risk factors, their adjusted hazard ratios (aHR), and scores: e.g., CAC score > 1000 (aHR: 1.57, score: 2), CAC score 401-1000 (aHR: 2.05, score: 2), and more. These factors strongly predict all-cause mortality, with varying risk groups (e.g., very low-risk: 2.0%, very high-risk: 24.0%). Significant differences in 5-year overall survival rates were observed among these groups (log-rank test < 0.001).CONCLUSION: The Poh-Ai Predictive Scoring System excels in forecasting mortality and cardiovascular events in individuals with Type 2 Diabetes Mellitus and extended ASCVD risk factors.
KW - All-cause mortality
KW - Atherosclerotic cardiovascular disease
KW - Coronary artery calcium
KW - Predictive scoring system
KW - Type 2 diabetes
UR - https://www.scopus.com/pages/publications/85193485816
U2 - 10.1186/s13098-024-01341-9
DO - 10.1186/s13098-024-01341-9
M3 - 文章
C2 - 38764060
AN - SCOPUS:85193485816
SN - 1758-5996
VL - 16
SP - 104
JO - Diabetology and Metabolic Syndrome
JF - Diabetology and Metabolic Syndrome
IS - 1
M1 - 104
ER -
