Table 1_Association between platelet-to-neutrophil ratio and asthma–COPD overlap: a cross-

A 2026 cross-sectional study of 1,025 participants, including 340 with asthma-COPD overlap (ACO), 372 with COPD, 348 with asthma, and 685 healthy controls. The dataset, shared by Lei Yang on figshare, examines the association between the platelet-to-neutrophil ratio (PNR) and ACO risk using multivariable logistic regression and restricted cubic spline models.

Use Cases

• Predicting ACO risk based on the platelet-to-neutrophil ratio and clinical covariates like age, BMI, and smoking history.
• Analyzing non-linear dose-response relationships between a biomarker and disease risk using the described threshold of PNR=61.17.
• Training binary classification models for ACO using the provided clinical and laboratory features from the study population.
• Conducting subgroup analyses to investigate differences in biomarker associations across specific population segments.

Strengths

• Includes data from 1,025 participants, providing a substantial sample for analysis.
• Study reports a statistically significant inverse association (OR=0.964) between PNR and ACO, validated by ROC analysis (AUC=0.774).
• Analysis adjusted for multiple key covariates including demographics, lab values, and lifestyle factors.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data is from a single cross-sectional study in China, which may limit generalizability to other populations.
• The dataset is very small (12.2 KB), indicating limited scope, likely containing summary statistics rather than raw patient-level data.

Provenance

Source

Lei Yang via figshare

Collection Method

Cross-sectional retrospective study using hospital data and multivariable logistic regression analyses.

Freshness

Last updated 2026-03-18 07:07:57

Geography

China