963-P: Preconception Counseling in Women with Diabetes: SEARCH for Diabetes in Youth Study

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 963-P
Author(s):  
ALISSA J. ROBERTS ◽  
KATHERINE A. SAUDER ◽  
JEANETTE M. STAFFORD ◽  
FAISAL MALIK ◽  
CATHERINE PIHOKER ◽  
...  
Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 347-OR
Author(s):  
FAISAL MALIK ◽  
KATHERINE A. SAUDER ◽  
SCOTT ISOM ◽  
ALISSA J. ROBERTS ◽  
ELIZABETH J. MAYER-DAVIS ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 280-OR
Author(s):  
KATHERINE A. SAUDER ◽  
JEANETTE M. STAFFORD ◽  
NATALIE S. THE ◽  
ELIZABETH J. MAYER-DAVIS ◽  
JOAN THOMAS ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 279-OR
Author(s):  
ALLISON SHAPIRO ◽  
DANA DABELEA ◽  
JEANETTE M. STAFFORD ◽  
RALPH DAGOSTINO ◽  
CATHERINE PIHOKER ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amy S. Shah ◽  
Scott Isom ◽  
Dana Dabelea ◽  
Ralph D’Agostino ◽  
Lawrence M. Dolan ◽  
...  

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.


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

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 66-OR
Author(s):  
LINA MERJANEH ◽  
LAWRENCE M. DOLAN ◽  
CYNTHIA SUERKEN ◽  
RALPH DAGOSTINO ◽  
GIUSEPPINA IMPERATORE ◽  
...  

2018 ◽  
Vol 20 (2) ◽  
pp. 172-179 ◽  
Author(s):  
Lindsey M. Duca ◽  
Beth A. Reboussin ◽  
Catherine Pihoker ◽  
Giuseppina Imperatore ◽  
Sharon Saydah ◽  
...  

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 ◽  
...  

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