PLR and NLR Biomarkers for Hemorrhagic Fever with Renal Syndrome Diagnosis

A retrospective study of 215 patients with Hemorrhagic Fever with Renal Syndrome (HFRS) and 256 healthy controls. The dataset, authored by Ting Wang and last updated in 2026, contains calculated platelet-lymphocyte and neutrophil-lymphocyte ratios from peripheral blood samples to evaluate their diagnostic performance.

Use Cases

• Training diagnostic classifiers based on platelet, neutrophil, and lymphocyte counts.
• Evaluating biomarker performance using ROC curve analysis as described in the study.
• Assessing the combined predictive power of PLT, PLR, and NLR for HFRS diagnosis.
• Studying age-dependent variations in neutrophil-lymphocyte ratio values.

Strengths

• Includes data from 471 total subjects (215 patients, 256 controls).
• Reports specific performance metrics, including an AUC of 0.9029 for the combined biomarkers.
• Analysis adjusted for confounding effects of age and gender using multivariate logistic regression.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Geographic origin of the patient cohort is not specified, which may limit generalizability.
• The dataset is very small at 29.2 KB, indicating limited scope.

Provenance

Source

figshare, author Ting Wang.

Collection Method

Retrospective study analyzing collected peripheral blood samples.

Freshness

Last updated 2026-05-29 04:49:03.