scholarly journals Predictors of Dyslipidemia Over Time in Youth With Type 1 Diabetes: For the SEARCH for Diabetes in Youth Study

Diabetes Care ◽  
2017 ◽  
Vol 40 (4) ◽  
pp. 607-613 ◽  
Author(s):  
Amy S. Shah ◽  
David M. Maahs ◽  
Jeanette M. Stafford ◽  
Lawrence M. Dolan ◽  
Wei Lang ◽  
...  
2018 ◽  
Vol 20 (2) ◽  
pp. 172-179 ◽  
Author(s):  
Lindsey M. Duca ◽  
Beth A. Reboussin ◽  
Catherine Pihoker ◽  
Giuseppina Imperatore ◽  
Sharon Saydah ◽  
...  

Hypertension ◽  
2020 ◽  
Vol 76 (Suppl_1) ◽  
Author(s):  
Andrew M South ◽  
Joseph Rigdon ◽  
Jeanette M Stafford ◽  
Dana Dabelea ◽  
Jean Lawrence ◽  
...  

Background: Type 1 diabetes (T1D) increases CVD risk, and early detection of CV changes could mitigate CVD risk. Increased arterial stiffness is an early marker of adverse CV health and precedes hypertension. Uric acid has been associated with arterial stiffness, hypertension, and CVD in select conditions such as obesity, but its relationship to T1D is undefined. We hypothesized that uric acid predicts increased arterial stiffness and BP over time in youth with T1D, especially those with overweight/obesity. Methods: Prospective cohort of 451 participants with T1D from the SEARCH for Diabetes in Youth Study. We measured uric acid, BP, and arterial stiffness assessed by pulse wave velocity (PWV) in the arm (PWV-R), trunk (PWV-T), and lower extremity (PWV-LE). BP and PWV were repeated a mean of 4.5 years later (±1.1). We defined high BP as ≥90 th %ile for age/sex/height (<13 years) and ≥120/80 mmHg (≥13 years). We applied multivariable regression models to estimate the association of uric acid with annualized changes in each outcome. Directed acyclic graph-informed models were adjusted for age, sex, race/ethnicity, health insurance, family history of CVD, A1c, antihypertensive use, T1D duration, dyslipidemia, and study site. We assessed for effect modification by overweight/obesity. Results: Mean age was 18.1 years (±4.5), 50.8% (229/451) were female, 66.1% (298/451) were White, and 42.4% (191/451) had overweight/obesity. A 1 mg/dl increase in uric acid was associated with increased PWV-R (adjusted β : 0.02 m/s/year, 95% CI -0.01 to 0.06), decreased SBP (-0.45 mmHg/year, -0.73 to -0.18), and sustained high BP (referenced to normal BP, adjusted OR 1.28, 0.91 to 1.79), but not PWV-T or PWV-LE. Compared to normal BMI, those with overweight/obesity demonstrated somewhat stronger associations between uric acid and PWV-R (0.05 m/s/year, 0.0 to 0.1 vs. 0.0 m/s/year, -0.05 to 0.05, interaction p =0.17) and sustained high BP (1.58, 0.99 to 2.51 vs. 0.79, 0.44 to 1.4, interaction p =0.06). Discussion: Among participants with T1D, uric acid was modestly associated with changes in PWV-R and BP over time, particularly in those with overweight/obesity. Further investigations are warranted to determine uric acid’s role in hypertension and arterial stiffness in T1D.


Diabetes Care ◽  
2012 ◽  
Vol 36 (1) ◽  
pp. 27-33 ◽  
Author(s):  
C. Pihoker ◽  
A. Badaru ◽  
A. Anderson ◽  
T. Morgan ◽  
L. Dolan ◽  
...  

2020 ◽  
Author(s):  
Brian J. Wells ◽  
Kristin M. Lenoir ◽  
Lynne E. Wagenknecht ◽  
Elizabeth J. Mayer-Davis ◽  
Jean M. Lawrence ◽  
...  

<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>


2019 ◽  
Vol 24 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Evgenia Gourgari ◽  
Jeanette M. Stafford ◽  
Ralph D'Agostino Jr ◽  
Lawrence M. Dolan ◽  
Jean M. Lawrence ◽  
...  

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 161-OR
Author(s):  
DARIA IGUDESMAN ◽  
BETH A. REBOUSSIN ◽  
KATHERINE J. SOURIS ◽  
CATHERINE PIHOKER ◽  
LAWRENCE M. DOLAN ◽  
...  

Author(s):  
Amy S. Shah ◽  
Lawrence M. Dolan ◽  
Abigail Lauer ◽  
Cralen Davis ◽  
Dana Dabelea ◽  
...  

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