LHR and Diabetic Macular Edema: Clinical Data from 423 Type 2 Diabetes Patients

Ying Yang published a clinical dataset on figshare in 2026 investigating the association between the lymphocyte-to-high-density lipoprotein ratio (LHR) and diabetic macular edema (DME). The dataset contains clinical and laboratory information for 423 patients with diabetic retinopathy, categorized into DME (n=163) and non-DME (n=260) groups based on optical coherence tomography. Data was collected retrospectively from a single hospital between January 2022 and December 2024.

Use Cases

• Train a binary classification model to predict diabetic macular edema based on the LHR biomarker and other clinical variables.
• Conduct statistical analysis to validate the reported negative linear correlation between LHR and the odds of DME.
• Perform subgroup analyses to explore how the LHR-DME association varies across different patient demographics or clinical profiles.

Strengths

• Dataset includes 423 patient records, providing a basis for statistical analysis.
• Analysis includes multiple validation methods such as logistic regression, quartile-based trend tests, and restricted cubic splines, as described in the study.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is sourced from a single hospital, which may reflect institutional or geographic bias.

Provenance

Source

Ying Yang via figshare.

Collection Method

Retrospective clinical study gathering patient records and laboratory information.

Time Range

January 2022 to December 2024.

Freshness

Last updated 2026-05-01 04:17:49; freshness should be verified.