scholarly journals Diabetes-specific dementia risk score (DSDRS) predicts cognitive performance in patients with type 2 diabetes at high cardio-renal risk

2020 ◽  
Vol 34 (10) ◽  
pp. 107674
Author(s):  
Chloë Verhagen ◽  
Jolien Janssen ◽  
Lieza G. Exalto ◽  
Esther van den Berg ◽  
Odd Erik Johansen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Performance ◽  
Risk Score ◽  
Dementia Risk

scholarly journals Clinical Applicability of the Specific Risk Score of Dementia in Type 2 Diabetes in the Identification of Patients with Early Cognitive Impairment: Results of the MOPEAD Study in Spain

2020 ◽  
Vol 9 (9) ◽  
pp. 2726
Author(s):  
Angel Michael Ortiz Zuñiga ◽  
Rafael Simó ◽  
Octavio Rodriguez-Gómez ◽  
Cristina Hernández ◽  
Adrian Rodrigo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Risk Score ◽  
Screening Tool ◽  
Memory Clinic ◽  
Dementia Risk ◽  
High Prevalence ◽  
Level Hospital ◽  
Main Factor

Introduction: Although the Diabetes Specific Dementia Risk Score (DSDRS) was proposed for predicting risk of dementia at 10 years, its usefulness as a screening tool is unknown. For this purpose, the European consortium MOPEAD included the DSDRS within the specific strategy for screening of cognitive impairment in type 2 diabetes (T2D) patients attended in a third-level hospital. Material and Methods: T2D patients > 65 years, without known cognitive impairment, attended in a third-level hospital, were evaluated. As per MOPEAD protocol, patients with MMSE ≤ 27 or DSDRS ≥ 7 were referred to the memory clinic for complete neuropsychological assessment. Results: 112 T2D patients were recruited. A total of 82 fulfilled the criteria for referral to the memory unit (43 of them declined referral: 48.8% for associated comorbidities, 37.2% lack of interest, 13.95% lack of social support). At the Fundació ACE’s Memory Clinic, 34 cases (87.2%) of mild cognitive impairment (MCI) and 3 cases (7.7%) of dementia were diagnosed. The predictive value of DSDRS ≥ 7 as a screening tool of cognitive impairment was AUROC = 0.739, p 0.024, CI 95% (0.609–0.825). Conclusions: We found a high prevalence of unknown cognitive impairment in TD2 patients who attended a third-level hospital. The DSDRS was found to be a useful screening tool. The presence of associated comorbidities was the main factor of declining referral.

scholarly journals Association of Type 2 Diabetes, According to the Number of Risk Factors Within Target Range, With Structural Brain Abnormalities, Cognitive Performance, and Risk of Dementia

2021 ◽  
Author(s):  
April C.E. van Gennip ◽  
Coen D.A. Stehouwer ◽  
Martin P.J. van Boxtel ◽  
Frans R.J. Verhey ◽  
Annemarie Koster ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cognitive Performance ◽  
Target Range ◽  
Brain Abnormalities ◽  
Brain Volumes ◽  
Dementia Risk ◽  
Incident Dementia

<b>Objective </b>Type 2 diabetes is associated with increased risks of cognitive dysfunction and brain abnormalities. The extent to which risk factor modification can mitigate these risks is unclear. We investigated the associations between incident dementia, cognitive performance and brain abnormalities among individuals with type 2 diabetes, according to the number of risk factors on target, compared to controls without diabetes. <div><p><b>Research Design and Methods</b> Prospective data from UK Biobank of 87,856 individuals (n=10,663 diabetes/n=77,193 controls; baseline 2006-2010; dementia follow-up until February, 2018). Individuals with diabetes were categorized according to the number of seven selected risk factors within guideline-recommended target range (nonsmoking; guideline-recommended levels of HbA1c, blood pressure, BMI, albuminuria, physical activity, diet). Outcomes were incident dementia, domain-specific cognitive performance, white matter hyperintensities and total brain volume.</p> <p><b>Results </b>After a mean follow-up of 9.0 years, 147(1.4%) individuals with diabetes and 412(0.5%) controls had incident dementia. Among individuals with diabetes, excess dementia risk decreased stepwise for a higher number of risk factors on target. Compared to controls (incidence rate per 1,000 person-years 0.62(95%CI:0.56;0.68)), individuals with diabetes who had 5-7 risk factors on target had no significant excess dementia risk (absolute rate difference per 1,000 person-years 0.20(-0.11;0.52); HR:1.32(0.89;1.95)). Similarly, differences in processing speed, executive function, and brain volumes were progressively smaller for a higher number of risk factors on target; these results were replicated in the Maastricht Study.</p> <p><b>Conclusions </b>Among individuals with diabetes, excess dementia risk, lower cognitive performance and brain abnormalities decreased stepwise for a higher number of risk factors on target.</p></div>

scholarly journals Risk score for prediction of 10 year dementia risk in individuals with type 2 diabetes: a cohort study

2013 ◽  
Vol 1 (3) ◽  
pp. 183-190 ◽  
Author(s):  
Lieza G Exalto ◽  
Geert Jan Biessels ◽  
Andrew J Karter ◽  
Elbert S Huang ◽  
Wayne J Katon ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Risk Score ◽  
Dementia Risk

scholarly journals Association of Type 2 Diabetes, According to the Number of Risk Factors Within Target Range, With Structural Brain Abnormalities, Cognitive Performance, and Risk of Dementia

2021 ◽  
Author(s):  
April C.E. van Gennip ◽  
Coen D.A. Stehouwer ◽  
Martin P.J. van Boxtel ◽  
Frans R.J. Verhey ◽  
Annemarie Koster ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cognitive Performance ◽  
Target Range ◽  
Brain Abnormalities ◽  
Brain Volumes ◽  
Dementia Risk ◽  
Incident Dementia

<b>Objective </b>Type 2 diabetes is associated with increased risks of cognitive dysfunction and brain abnormalities. The extent to which risk factor modification can mitigate these risks is unclear. We investigated the associations between incident dementia, cognitive performance and brain abnormalities among individuals with type 2 diabetes, according to the number of risk factors on target, compared to controls without diabetes. <div><p><b>Research Design and Methods</b> Prospective data from UK Biobank of 87,856 individuals (n=10,663 diabetes/n=77,193 controls; baseline 2006-2010; dementia follow-up until February, 2018). Individuals with diabetes were categorized according to the number of seven selected risk factors within guideline-recommended target range (nonsmoking; guideline-recommended levels of HbA1c, blood pressure, BMI, albuminuria, physical activity, diet). Outcomes were incident dementia, domain-specific cognitive performance, white matter hyperintensities and total brain volume.</p> <p><b>Results </b>After a mean follow-up of 9.0 years, 147(1.4%) individuals with diabetes and 412(0.5%) controls had incident dementia. Among individuals with diabetes, excess dementia risk decreased stepwise for a higher number of risk factors on target. Compared to controls (incidence rate per 1,000 person-years 0.62(95%CI:0.56;0.68)), individuals with diabetes who had 5-7 risk factors on target had no significant excess dementia risk (absolute rate difference per 1,000 person-years 0.20(-0.11;0.52); HR:1.32(0.89;1.95)). Similarly, differences in processing speed, executive function, and brain volumes were progressively smaller for a higher number of risk factors on target; these results were replicated in the Maastricht Study.</p> <p><b>Conclusions </b>Among individuals with diabetes, excess dementia risk, lower cognitive performance and brain abnormalities decreased stepwise for a higher number of risk factors on target.</p></div>

1645-P: Polygenic Risk Score for Prediction of Complications in Men and Women with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1645-P
Author(s):  
JOHANNE TREMBLAY ◽  
REDHA ATTAOUA ◽  
MOUNSIF HALOUI ◽  
RAMZAN TAHIR ◽  
CAROLE LONG ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Men And Women ◽  
Polygenic Risk ◽  
Prediction Of Complications

834-P: Weight Change and Dementia Risk in Patients with New-Onset Type 2 Diabetes: A Nationwide Cohort Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 834-P
Author(s):  
HYUK-SANG KWON ◽  
SOON JIB YOO ◽  
MIN-KYUNG LEE ◽  
GA EUN NAM
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Weight Change ◽  
Onset Type ◽  
Dementia Risk ◽  
New Onset

304-OR: Polygenic Risk Score Predicts Type 2 Diabetes Susceptibility in a Diverse Consumer Genetic Database

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 304-OR
Author(s):  
MICHAEL L. MULTHAUP ◽  
RYOSUKE KITA ◽  
NICHOLAS ERIKSSON ◽  
STELLA ASLIBEKYAN ◽  
JANIE SHELTON ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Diabetes Susceptibility ◽  
Genetic Database ◽  
Polygenic Risk

scholarly journals A novel drug response score more accurately predicts renoprotective drug effects than existing renal risk scores

2021 ◽  
Vol 12 ◽  
pp. 204201882097419
Author(s):  
Nienke M. A. Idzerda ◽  
Sok Cin Tye ◽  
Dick de Zeeuw ◽  
Hiddo J. L. Heerspink
Keyword(s):  
Type 2 Diabetes ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Risk Score ◽  
Drug Response ◽  
Drug Effects ◽  
Risk Scores ◽  
Renal Outcome ◽  
Response Score

Background: Risk factor-based equations are used to predict risk of kidney disease progression in patients with type 2 diabetes order to guide treatment decisions. It is, however, unknown whether these models can also be used to predict the effects of drugs on clinical outcomes. Methods: The previously developed Parameter Response Efficacy (PRE) score, which integrates multiple short-term drug effects, was first compared with the existing risk scores, Kidney Failure Risk Equation (KFRE) and The Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) renal risk score, in its performance to predict end-stage renal disease (ESRD; KFRE) and doubling of serum creatinine or ESRD (ADVANCE). Second, changes in the risk scores were compared after 6 months’ treatment to predict the long-term effects of losartan on these renal outcomes in patients with type 2 diabetes and chronic kidney disease. Results: The KFRE, ADVANCE and PRE scores showed similarly good performance in predicting renal risk. However, for prediction of the effect of losartan, the KFRE risk score predicted a relative risk change in the occurrence of ESRD of 3.1% [95% confidence interval (CI) −5 to 12], whereas the observed risk change was −28.8% (95% CI −42.0 to −11.5). For the composite endpoint of doubling of serum creatinine or ESRD, the ADVANCE score predicted a risk change of −12.4% (95% CI −17 to −7), which underestimated the observed risk change −21.8% (95% CI −34 to −6). The PRE score predicted renal risk changes that were close to the observed risk changes with losartan treatment [−24.0% (95% CI −30 to −17) and −22.6% (95% CI −23 to −16) for ESRD and the composite renal outcome, respectively]. Conclusion: A drug response score such as the PRE score may assist in improving clinical decision making and implement precision medicine strategies.

scholarly journals Development of Risk Score for Predicting 3-Year Incidence of Type 2 Diabetes: Japan Epidemiology Collaboration on Occupational Health Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142779 ◽  
Author(s):  
Akiko Nanri ◽  
Tohru Nakagawa ◽  
Keisuke Kuwahara ◽  
Shuichiro Yamamoto ◽  
Toru Honda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Occupational Health ◽  
Risk Score ◽  
Health Study

scholarly journals Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Bernard Omech ◽  
Julius Chacha Mwita ◽  
Jose-Gaby Tshikuka ◽  
Billy Tsima ◽  
Oathokwa Nkomazna ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Predictive Value ◽  
Total Population ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Haemoglobin A1c ◽  
Diabetes Risk Score ◽  
Medical Outpatients

This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged ≥20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from 291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = ±11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%,P=0.26). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.55–0.72) for the total population, 0.65 (95% CI: 0.56–0.75) for women, and 0.67 (95% CI: 0.52–0.83) for men. The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males. The positive predictive value and negative predictive value were 20% and 89.5%, respectively. The findings indicate that the Finnish questionnaire was only modestly effective in predicting undiagnosed diabetes among outpatients in Botswana.

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