Pulmonary Hypertension Hospitalizations and Temperature in Shanghai 2013-2023

12,218 hospitalizations for pulmonary hypertension recorded over an 11-year period from 2013 to 2023 in Shanghai, China. The dataset supports a time-series analysis of the non-linear relationship between daily mean temperature and hospitalization risk, with stratification by age, sex, and medical insurance status.

Use Cases

• Analyze the U-shaped exposure-response relationship between daily mean temperature and pulmonary hypertension hospitalization risk.
• Examine stratified risk estimates for vulnerable subpopulations based on age, sex, and medical insurance status.
• Calculate attributable fractions for hospitalizations due to extreme cold and moderate cold temperature exposures.
• Model the single-day and cumulative lag effects of temperature on hospitalizations over a 30-day period using relative risk estimates.

Strengths

• 11-year longitudinal time-series data from 2013 to 2023.
• Analysis based on 12,218 recorded hospitalization events.
• Includes stratified results by age, sex, and medical insurance status, identifying specific vulnerable groups.

Limitations

• The underlying raw data is not provided; the file contains only a summary report in DOCX format (13.1 KB).
• Geographic scope is limited to a single city (Shanghai), limiting generalizability.
• The analysis focuses on temperature effects, potentially omitting other confounding environmental or clinical variables.

Provenance

Source

Author Ang Zhao via figshare.

Collection Method

Time-series analysis of hospital admission records from Shanghai, using a distributed lag non-linear model.

Time Range

2013 to 2023.

Freshness

Data covers up to 2023; the summary document was last updated in March 2026.

Geography

Shanghai, China.