Longitudinal HbA1c Changes in Peruvian Type 2 Diabetes Patients

Peruvian patients with type 2 diabetes were tracked for changes in glycemic control over one year. The dataset contains records for 741 patients with at least two HbA1c measurements taken between 2015 and 2019. It was created by Romina Belen Carpio-Martinez and published in 2026.

Use Cases

• Model the odds of persistent poor glycemic control (HbA1c ≥ 7%) using features like diabetes duration, insulin use, and hypertriglyceridemia.
• Analyze individual HbA1c change from baseline to follow-up to identify patients who improved or worsened.
• Assess the association between reduced estimated glomerular filtration rate and lower odds of HbA1c ≥ 7%.
• Study the effect of time (follow-up vs. baseline) on glycemic control outcomes using the adjusted odds ratio.

Strengths

• 741 patient records provide a substantial cohort for analysis.
• Longitudinal design with paired baseline and one-year follow-up HbA1c measurements for each patient.
• Clear temporal coverage from 2015 to 2019.

Limitations

• The 2.7 MB file size suggests a small dataset, potentially limiting complex model training.
• Data is from a single national hospital in Peru, which may limit geographic generalizability.
• The description notes progressive models were built accounting for missing data, indicating potential data completeness issues.

Provenance

Source

Retrospective cohort study from a national hospital in Peru.

Collection Method

Clinical records review for patients with type 2 diabetes mellitus.

Time Range

2015 to 2019

Freshness

Data covers 2015-2019, but the dataset was last updated in 2026.

Geography

Peru