Systemic Inflammatory Response Index and Mortality in Obstructive Sleep Apnea

A research dataset from figshare by Mengxian Jiang, last updated May 2026, examines the association between the Systemic Inflammatory Response Index (SIRI) and mortality in obstructive sleep apnea. It includes data from 9,992 adults with OSA symptoms from the NHANES survey and an external validation cohort of 994 patients from the Central Hospital of Wuhan. The study uses multivariate Cox regression and ROC analysis to assess SIRI's predictive value for all-cause and cardiovascular mortality.

Use Cases

• Predicting all-cause mortality risk based on systemic inflammatory response index (SIRI) levels.
• Predicting cardiovascular mortality risk based on SIRI levels in individuals with OSA symptoms.
• Validating a clinical biomarker's predictive power using an external hospital-based cohort.
• Analyzing non-linear relationships between inflammatory markers and health outcomes using restricted cubic spline analysis.

Strengths

• Includes a large primary cohort of 9,992 adults from NHANES.
• Features an independent external validation cohort of 994 patients from a hospital.
• Reports specific predictive performance metrics (AUC values of 0.822 and 0.806 for mortality outcomes).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary dataset is unknown, which may limit suitability assessment.
• The dataset is small in file size (429.7 KB), suggesting limited scope or aggregated summary data.

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) and Central Hospital of Wuhan.

Collection Method

Cohort study using multivariate weighted Cox regression, subgroup analyses, restricted cubic spline (RCS) analyses, and ROC curves.

Freshness

Last updated 2026-05-01 05:35:08; freshness should be verified.

Geography

United States (NHANES) and Wuhan, China (validation cohort).