Systemic Inflammation Mortality Associations in Shanghai Cohort

9,318 participants from a community-based prospective cohort study in Pudong New Area, Shanghai, China. The data examines associations between systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) with all-cause, cardiovascular, cancer, and respiratory mortality using Cox and Fine-Gray models. The study found significant dose-response relationships and that adding SIRI or SII to conventional risk models improved predictive performance.

Use Cases

• Model the dose-response relationship between SII quartiles and all-cause mortality hazard ratios using Cox regression.
• Assess the prognostic enhancement of adding SIRI to conventional risk models for predicting cardiovascular mortality.
• Perform stratified analysis to examine stronger associations of SIRI with all-cause mortality in participants aged < 60 years.
• Evaluate non-linear relationships between SIRI and cause-specific mortality using restricted cubic splines.

Strengths

• Analysis based on a cohort of 9,318 participants from a defined community population.
• Examines associations with four specific mortality outcomes: all-cause, cardiovascular, cancer, and respiratory.
• Uses multivariable-adjusted Cox and Fine-Gray models and includes measures of model discrimination and reclassification.

Limitations

• The dataset is a 110.5 KB DOCX file, likely containing summary results and not the underlying raw tabular data.
• Geographic scope is limited to a single community in Shanghai, China, limiting generalizability.
• Specific sample sizes, column definitions, and raw data rows are unavailable for direct analysis.

Provenance

Source

figshare, authored by Juzhong Ke.

Collection Method

Analysis of data from a community-based prospective cohort study.

Time Range

null

Freshness

Last updated March 2026.

Geography

Pudong New Area, Shanghai, China.