Abstract P347: Measures of Microvascular Complications Varies Across Racial/Ethnic Groups Over a Seven Year Period: Post-Hoc Analysis of Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial Data
Bibliographic record
Abstract
Introduction: Type 2 diabetes (T2D) microvascular complications is a major public health issue that disproportionately affects people of color in the U.S. and Canada. There is limited understanding of racial/ethnic disparities in the longitudinal natural history of microvascular complications. We aimed to address this gap in knowledge by examining racial/ethnic differences in microvascular complication-related measures over seven years among T2D adults living in the U.S. and Canada. Hypothesis: We assessed the hypothesis that measures of microvascular complications vary by race/ethnic group over a period of seven years. Methods: From 10,251 Action to Control Cardiovascular Risk in Diabetes (ACCORD) (2003-2009) trial participants, we derived 6,683 participants having a baseline and ≥ two years of outcome recordings for our analysis (baseline mean age 62 ± 6.6 years, and 11 ± 7.4 years of diabetes diagnosis). In this longitudinal study, we used T2D microvascular measurements recorded at baseline, yearly for seven years, and during a trial exit period. Neuropathy-related measures analyzed was the Michigan Neuropathy Screening Instrument (MNSI); Nephropathy-related measures included the glomerular filtration rate (eGFR) by four-variable Modification of Diet in Renal Disease equation (ml/min/1.73 m 2 ), urine albumin (mg/dl), and urine albumin : creatinine (mg/g). We examined differences in measurement among Black (n 1 = 1,176), White (n 2 = 4,282), and Other race adults (n 3 = 1,229). We used multigroup latent growth modeling to compare models from fully constrained to unconstrained means, covariances, and residual variances models. Results: MNSI, eGFR, and urine albumin significantly differed across racial/ethnic groups (ΔX 2 MNSI (2) = 231.8, p<0.001; ΔX 2 eGFR (2) = 489.2, p<0.001; ΔX 2 urine-albumin (2) = 194.6, p<0.001). We noticed that at least one of the means and covariances differed across racial/ethnic groups. The average MNSI trajectory for Other race/ethnicity (intercept=1.88, slope=-0.08) were better than that for Black (intercept=2.07, slope=-0.09) and White adults (intercept=2.67, slope=-0.14). The average eGFR trajectories for Black (intercept=88.86, slope=-1.16) and Other race/ethnicity (intercept=85.68, slope=-1.15) were better than that for White adults (intercept=82.59, slope=-1.36). However, average urine albumin trajectories for Black adults were worst (intercept=10.77, slope=0.98) followed by Other race/ethnicity (intercept=9.36, slope=0.73) and White adults (intercept=7.65, slope=0.57). Conclusion: Trajectories of microvascular complication-related measures appear to vary by racial/ethnic group. Other race adults, with primarily consists of Hispanics, appeared to at lower risk of neuropathy for years than Black and White adults. Nephropathy outcomes could vary across racial/ethnic group depending on how nephropathy is defined.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".