scholarly journals OPPORTUNISTIC SCREENING FOR UNDIAGNOSED DIABETES MELLITUS AND PRE-DIABETES IN SULAIMANI CITY AND ITS ASSOCIATED RISK FACTORS

2021 ◽  
Vol 11 (1) ◽  
pp. 109-120
Author(s):  
Shelan Omer Rasheed ◽  
◽  
Zhian Salah Ramzi ◽  
Taha Othman Mahwi ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Undiagnosed Diabetes ◽  
Opportunistic Screening ◽  
Associated Risk Factors ◽  
Undiagnosed Diabetes Mellitus

Prevalence of diagnosed and undiagnosed diabetes mellitus and its risk factors in a population-based study of Qatar

2009 ◽  
Vol 84 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Abdulbari Bener ◽  
Mahmoud Zirie ◽  
Ibrahim M. Janahi ◽  
Abdulla O.A.A. Al-Hamaq ◽  
Manal Musallam ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Population Based ◽  
Undiagnosed Diabetes ◽  
Population Based Study ◽  
Undiagnosed Diabetes Mellitus

scholarly journals Undiagnosed Diabetes Prediction With Development of Scoring System Based on Risk Factors

2020 ◽  
Vol 11 (1) ◽  
pp. 9-21
Author(s):  
Irene Febriani
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Risk Score ◽  
Central Obesity ◽  
Prediction Models ◽  
Undiagnosed Diabetes ◽  
Predictive Score ◽  
Undiagnosed Diabetes Mellitus

Undiagnosed Diabetes Mellitus (UDDM) is a person condition where has never been diagnosed with diabetes, but when a blood sugar examination survey shows the criteria for diabetes. Late diagnosis is a major problem for diabetes. In some cases, 50% of patients do not know the condition of diabetes mellitus, so the complications of diabetes mellitus become very severe. This study aimed to analyze dominant risk factors and make a risk score for Undiagnosed Diabetes Mellitus (UDDM). Making a risk score was carried out in 2016 based on secondary data from 2013 Basic Health Research (Riskesdas). The study population was adults aged ≥ 18 years, diagnosed early in diabetes during the 2013 Riskesdas, did not suffer from other chronic / contagious diseases. The sample size analyzed amounted to 18,963 people. The value of β coefficient from the results of multiple logistic regression predictive models was used to develop the score. The accuracy of the diabetes predictive score was assessed by ROC (Receiver Operating Characteristic). 2 prediction models developed into risk scores. Model 1 predictions of UDDM with 8 predictors (AUC 73.13%, sensitivity 29.19%, specificity 90.33%, PPV 25.32%, NPV 91.90%, cutoff ≥30), model 2 predictions of UDDM with 5 predictors (AUC 74.22%, sensitivity of 64.91%, spessivity 67.95%, PPV 18.37%, NPV 94.60%, cutoff 21). Undiagnosed diabetes risk factors and predictors in making scores on model 1 were gender, age, hypertension, body mass index, central obesity, HDL and LDL. In model 2 were gender, age, hypertension, body mass index, central obesity.

scholarly journals 164 Undiagnosed diabetes mellitus in rural communities in Sudan: prevalence and risk factors

2015 ◽  
Vol 21 (3) ◽  
pp. 164-170 ◽  
Author(s):  
S.K.M. Noor ◽  
S.O.E. Bushara ◽  
A.A. Sulaiman ◽  
W.M.Y. Elmadhoun ◽  
M.H. Ahmed
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Rural Communities ◽  
Undiagnosed Diabetes ◽  
Undiagnosed Diabetes Mellitus

scholarly journals Undiagnosed Diabetes Mellitus in Community-Acquired Pneumonia: A Prospective Cohort Study

2017 ◽  
Vol 65 (12) ◽  
pp. 2091-2098 ◽  
Author(s):  
Andreas Vestergaard Jensen ◽  
Daniel Faurholt-Jepsen ◽  
Gertrud Baunbæk Egelund ◽  
Stine Bang Andersen ◽  
Pelle Trier Petersen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Community Acquired Pneumonia ◽  
Undiagnosed Diabetes ◽  
Male Sex ◽  
Multicenter Prospective Cohort Study ◽  
Undiagnosed Diabetes Mellitus

Abstract Background Diabetes mellitus is an important risk factor for community-acquired pneumonia, whereas the prevalence of undiagnosed diabetes mellitus and prediabetes in patients with community-acquired pneumonia is largely unknown. We aimed to determine the prevalence of prediabetes, undiagnosed diabetes mellitus, and risk factors associated with undiagnosed diabetes mellitus in a large European community-acquired pneumonia cohort. Methods This was a multicenter prospective cohort study of hospitals and private practices in Germany and Austria encompassing 1961 adults with community-acquired pneumonia included in the German Community-Acquired Pneumonia Competence Network (CAPNETZ) study between 2007 and 2014. The prevalence of undiagnosed diabetes mellitus and prediabetes was estimated based on hemoglobin A1c measurements. Logistic regression was used to assess risk factors for undiagnosed diabetes mellitus. Results Fifteen percent of patients had known diabetes mellitus. Among patients without known diabetes mellitus, 5.0% had undiagnosed diabetes mellitus and 37.5% had prediabetes. Male sex (odds ratio [OR], 2.45 [95% confidence interval {CI}, 1.35–4.45]), body mass index ≥25 kg/m2 (OR, 2.64 [95% CI, 1.48–4.72]), and hyperglycemia at admission (6–11 mM: OR, 2.93 [95% CI, 1.54–5.60] and ≥11 mM: OR, 44.76 [95% CI, 17.58–113.98]) were associated with undiagnosed diabetes mellitus. Patients with undiagnosed diabetes mellitus had a higher 180-day mortality rate compared to patients without diabetes mellitus (12.1% vs 3.8%, respectively; P = .001). Conclusions Undiagnosed diabetes mellitus was prevalent among community-acquired pneumonia. Male sex, overweight, and hyperglycemia at admission were associated with undiagnosed diabetes mellitus. The long-term mortality among patients with undiagnosed diabetes mellitus was high compared to patients without diabetes mellitus.

1486-P: Identification of Undiagnosed Diabetes Mellitus and Associated Alternation of Predicted ASCVD Risk Using Chinese and U.S. Risk Calculators

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1486-P
Author(s):  
JING YANG ◽  
YANGLU ZHAO ◽  
YI REN ◽  
LIZHEN LAN ◽  
LINXIN XU ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Undiagnosed Diabetes ◽  
Ascvd Risk ◽  
Undiagnosed Diabetes Mellitus
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