scholarly journals The All-Cause Mortality and a Screening Tool to Determine High-Risk Patients among Prevalent Type 2 Diabetes Mellitus Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Mohamad Adam Bujang ◽  
Pei Xuan Kuan ◽  
Xun Ting Tiong ◽  
Fatin Ellisya Saperi ◽  
Mastura Ismail ◽  
...  

Aims. This study aims to determine the all-cause mortality and the associated risk factors for all-cause mortality among the prevalent type 2 diabetes mellitus (T2DM) patients within five years’ period and to develop a screening tool to determine high-risk patients. Methods. This is a cohort study of T2DM patients in the national diabetes registry, Malaysia. Patients’ particulars were derived from the database between 1st January 2009 and 31st December 2009. Their records were matched with the national death record at the end of year 2013 to determine the status after five years. The factors associated with mortality were investigated, and a prognostic model was developed based on logistic regression model. Results. There were 69,555 records analyzed. The mortality rate was 1.4 persons per 100 person-years. The major cause of death were diseases of the circulatory system (28.4%), infectious and parasitic diseases (19.7%), and respiratory system (16.0%). The risk factors of mortality within five years were age group (p<0.001), body mass index category (p<0.001), duration of diabetes (p<0.001), retinopathy (p=0.001), ischaemic heart disease (p<0.001), cerebrovascular (p=0.007), nephropathy (p=0.001), and foot problem (p=0.001). The sensitivity and specificity of the proposed model was fairly strong with 70.2% and 61.3%, respectively. Conclusions. The elderly and underweight T2DM patients with complications have higher risk for mortality within five years. The model has moderate accuracy; the prognostic model can be used as a screening tool to classify T2DM patients who are at higher risk for mortality within five years.

2018 ◽  
Vol 6 (1) ◽  
pp. e000489 ◽  
Author(s):  
Nabil Sulaiman ◽  
Ibrahim Mahmoud ◽  
Amal Hussein ◽  
Salah Elbadawi ◽  
Salah Abusnana ◽  
...  

ObjectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus.Research design and methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.ResultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).ConclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0124536 ◽  
Author(s):  
Antonio Pacilli ◽  
Olga Lamacchia ◽  
Andrea Fontana ◽  
Massimiliano Copetti ◽  
Mauro Cignarelli ◽  
...  

2009 ◽  
Vol 3 (3) ◽  
pp. 223
Author(s):  
Michael H. Davidson ◽  
Anton F.H. Stalenhoef ◽  
Jennifer G. Robinson ◽  
Regina Duttlinger-Maddux ◽  
David Kallend ◽  
...  

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