scholarly journals Comment on Jaiswal et al. Prevalence of and Risk Factors for Diabetic Peripheral Neuropathy in Youth With Type 1 and Type 2 Diabetes: SEARCH for Diabetes in Youth Study. Diabetes Care 2017;40:1226–1232

Diabetes Care ◽  
2018 ◽  
Vol 41 (3) ◽  
pp. e35-e36 ◽  
Author(s):  
Amélie Simoneau ◽  
Marie Monlun ◽  
Pauline Poupon ◽  
Laurence Baillet-Blanco ◽  
Laure Alexandre ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Diabetes Care ◽  
Diabetic Peripheral Neuropathy ◽  
Youth Study ◽  
Diabetes In Youth

scholarly journals Prevalence of and Risk Factors for Diabetic Peripheral Neuropathy in Youth With Type 1 and Type 2 Diabetes: SEARCH for Diabetes in Youth Study

Diabetes Care ◽  
2017 ◽  
Vol 40 (9) ◽  
pp. 1226-1232 ◽  
Author(s):  
Mamta Jaiswal ◽  
Jasmin Divers ◽  
Dana Dabelea ◽  
Scott Isom ◽  
Ronny A. Bell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Diabetic Peripheral Neuropathy ◽  
Youth Study ◽  
Diabetes In Youth

279-OR: Cognition in Young Adults with Youth-Onset Type 1 and Type 2 Diabetes: The SEARCH for Diabetes in Youth Study

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 279-OR
Author(s):  
ALLISON SHAPIRO ◽  
DANA DABELEA ◽  
JEANETTE M. STAFFORD ◽  
RALPH DAGOSTINO ◽  
CATHERINE PIHOKER ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Young Adults ◽  
Onset Type ◽  
Youth Study ◽  
Diabetes In Youth

scholarly journals A cross sectional study to compare cardiac structure and diastolic function in adolescents and young adults with youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amy S. Shah ◽  
Scott Isom ◽  
Dana Dabelea ◽  
Ralph D’Agostino ◽  
Lawrence M. Dolan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diastolic Function ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Factors Associated ◽  
Youth Study ◽  
Hispanic White ◽  
Diabetes In Youth

Abstract Aims To compare left ventricular structure (LV) and diastolic function in young adults with youth- onset diabetes by type, determine the prevalence of abnormal diastolic function by diabetes type using published values from age similar healthy controls, and examine the risk factors associated with diastolic function. Methods In a cross sectional analysis we compared LV structure and diastolic function from two dimensional echocardiogram in participants with type 1 (T1D) and type 2 diabetes (T2D) who participated in the SEARCH for Diabetes in Youth Study. Linear models were used to examine the risk factors associated with worse diastolic function. Results Of 479 participants studied, 258 had T1D (mean age 21.2 ± 5.2 years, 60.5% non-Hispanic white, 53.9% female) and 221 had T2D (mean age 24.8 ± 4.3 years, 24.4% non-Hispanic white, 73.8% female). Median diabetes duration was 11.6 years. Participants with T2D had greater LV mass index and worse diastolic function that persisted after adjustment for differences in risk factors compared with participants with T1D (all p < 0.05). Abnormal diastolic function, quantified using healthy controls, was pronounced in both groups but greater in those with T2D than T1D (T2D: 57.7% vs T1D: 47.2%, respectively), p < 0.05. Risk factors associated with worse diastolic function included older age at diabetes diagnosis, female sex, higher BP, heart rate and HbA1c and longer diabetes duration. Conclusions LV structure and diastolic function is worse in individuals with T2D compared to T1D. However, abnormal diastolic function in seen in both groups compared to published values from age similar healthy controls.

scholarly journals Endothelin-1 predicts incident diabetic peripheral neuropathy in Type 2 Diabetes: a cohort study

2020 ◽  
Vol 182 (4) ◽  
pp. 429-438
Author(s):  
Sharon Li Ting Pek ◽  
Su Chi Lim ◽  
Keven Ang ◽  
Pek Yee Kwan ◽  
Wern Ee Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Peripheral Neuropathy ◽  
Diabetic Peripheral Neuropathy ◽  
Diabetes Duration ◽  
Endothelin 1

Introduction Diabetic peripheral neuropathy (DPN) is a common microvascular complication in patients with type 2 diabetes (T2D). Apart from hyperglycemia, few modifiable risk factors have been identified. Endothelin-1 is a potent vasoconstrictor peptide, implicated in the causal pathway of microangiopathy. We investigated whether baseline plasma endothelin-1 and other metabolic and vascular risk factors predicted the incidence of DPN. Design This is a 3-year observational, cohort study. Methods In patients with T2D (n = 2057), anthropometric data, fasting blood, and urine were collected for biochemistry and urine albumin/creatinine measurements. Forearm cutaneous endothelial reactivity was assessed by iontophoresis and laser Doppler flowmetry/imaging. Measurements were repeated on follow-up. Incident DPN was considered present if an abnormal finding in monofilament (<8 of 10 points) or neurothesiometer testing was ≥25 volts on either foot at 3-year follow-up, but normal at baseline. Plasma endothelin-1 was assessed by ELISA. Results At baseline, mean age of patients was 57.4 ± 10.8 years old and prevalence of DPN was 10.8%. Of the 1767 patients without DPN, 1250 patients returned for follow-up assessment ((2.9 ± 0.7) years), with a 10.7% incidence of DPN. Patients with incident DPN had significantly higher baseline endothelin-1 (1.43 (1.19–1.73) vs 1.30 (1.06–1.63)) pg/mL, P < 0.0001. Multivariable Cox proportional hazards ratio showed a 1-s.d. increase in log endothelin-1 (adjusted HR: 4.345 (1.451–13.009), P = 0.009), systolic blood pressure (per 10-unit) (adjusted HR: 1.107 (1.001–1.223), P = 0.047) and diabetes duration (adjusted HR: 1.025 (1.004–1.047), P = 0.017) predicted incident DPN, after adjustment for glycemic control, eGFR, albuminuria, peripheral arterial disease and retinopathy status. Conclusion Higher baseline endothelin-1, blood pressure and diabetes duration were significant and independent predictors for incident DPN. Validation of our findings in independent cohorts and molecular mechanistic studies will help better our understanding on the role of endothelin-1 in DPN.

scholarly journals Detection of Diabetes Status and Type in Youth using Electronic Health Records (EHRs): The SEARCH for Diabetes in Youth Study

2020 ◽  
Author(s):  
Brian J. Wells ◽  
Kristin M. Lenoir ◽  
Lynne E. Wagenknecht ◽  
Elizabeth J. Mayer-Davis ◽  
Jean M. Lawrence ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Multinomial Regression ◽  
Rule Based ◽  
Diabetes Status ◽  
Icd 10 ◽  
Youth Study ◽  
Diabetes In Youth

<u>Objective:</u> Diabetes surveillance often requires manual medical chart reviews to confirm status and type. This project aimed to create an electronic health record (EHR)-based procedure for improving surveillance efficiency through automation of case identification. <p><u> </u></p> <p><u>Research Design and Methods:</u> Youth (< 20 years) with potential evidence of diabetes (N=8,682) were identified from EHRs at three children’s hospitals participating in the SEARCH for Diabetes in Youth Study. True diabetes status/type was determined by manual chart reviews. Multinomial regression was compared with an ICD-10 rule-based algorithm in the ability to correctly identify diabetes status and type. Subsequently, the investigators evaluated a scenario of combining the rule based algorithm with targeted chart reviews where the algorithm performed poorly.</p> <p> </p> <p><u>Results:</u> The sample included 5308 true cases (89.2% type 1 diabetes). The rule-based algorithm outperformed regression for overall accuracy (0.955 vs 0.936). Type 1 diabetes was classified well by both methods: sensitivity (<i>Se</i>) (>0.95), specificity (<i>Sp</i>) (>0.96), and positive predictive value (PPV) (>0.97). In contrast, the PPVs for type 2 diabetes were 0.642 and 0.778 for the rule-based algorithm and the multinomial regression, respectively. Combining the rule-based method with chart reviews (n=695, 7.9%) of persons predicted to have non type 1 diabetes resulted in perfect PPV for the cases reviewed, while increasing overall accuracy (0.983). The sensitivity, specificity, and PPV for type 2 diabetes using the combined method were >=0.91. </p> <p> </p> <p><u>Conclusions</u>: An ICD-10 algorithm combined with targeted chart reviews accurately identified diabetes status/type and could be an attractive option for diabetes surveillance in youth. </p> <br>

scholarly journals Mortality in youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth study

2018 ◽  
Vol 32 (6) ◽  
pp. 545-549 ◽  
Author(s):  
Kristi Reynolds ◽  
Sharon H. Saydah ◽  
Scott Isom ◽  
Jasmin Divers ◽  
Jean M. Lawrence ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Onset Type ◽  
Youth Study ◽  
Diabetes In Youth
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