<p>Coefficients for Hct model 4.</p>

A retrospective study of 604 patients with 733 coronary lesions, analyzing the association between red blood cell parameters and angiography-derived microcirculatory resistance. The dataset, created by Abdulrahman AlQazzaz and last updated in March 2026, contains regression coefficients from a model adjusted for confounders and includes subgroup analyses by diabetes status and vessel type.

Use Cases

• Validate the association between hematocrit (Hct) and microvascular resistance based on the reported regression coefficients.
• Compare the effect of red blood cell parameters in LAD versus non-LAD coronary vessels as described in the subgroup analysis.
• Assess the consistency of findings across diabetic and non-diabetic patient subgroups using the provided statistical results.
• Reproduce multivariable linear regression models for coronary microcirculatory resistance using the published coefficients.

Strengths

• Dataset is based on a study of 604 patients and 733 coronary lesions, providing a specific clinical cohort.
• Analysis includes multivariable linear regression adjusted for confounders and sensitivity analyses, such as excluding hematocrit outliers.
• Results are stratified by clinically relevant subgroups (diabetes status, vessel type), adding analytical depth.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating it likely contains only summary statistics or model coefficients, not the underlying patient-level data.
• Geographic and temporal coverage of the source patient data is not specified, which may affect generalizability.

Provenance

Source

Abdulrahman AlQazzaz via figshare

Collection Method

Retrospective study evaluating patient data prior to angiography; microcirculatory resistance derived using the AngioPlus mQFR system.

Freshness

Last updated 2026-03-25 17:30:16; freshness should be verified.