Association between ambient temperature and increased total length of hospital stay of patients with cardiopulmonary disease in Hong Kong
2024

Impact of Temperature on Hospital Stay for Heart and Lung Patients in Hong Kong

Sample size: 4095722 publication 10 minutes Evidence: high

Author Information

Author(s): Long Chenxiang, Guo Shengyu, Tian Ping, Sun Yingying

Primary Institution: Guizhou Medical University

Hypothesis

Is there an association between daily variation in ambient temperature and the total length of hospital stay for cardiopulmonary patients?

Conclusion

Extreme temperatures were associated with increased hospital stay durations for cardiopulmonary patients in Hong Kong's older adult population.

Supporting Evidence

  • Both cold and heat were associated with increased total length of stay for cardiopulmonary disease.
  • Temperature-related hospital stay days increased significantly during extreme temperature events.
  • 11.5% of total length of stay for cardiovascular disease was attributed to non-optimal temperatures.
  • 10.7% of total length of stay for respiratory disease was attributed to non-optimal temperatures.
  • Cold temperatures had a greater impact on hospital stay duration than heat.

Takeaway

When it's really hot or really cold, people with heart and lung problems have to stay in the hospital longer.

Methodology

Generalized linear regression with a distributed lag non-linear model using 13 years of time-series data on daily temperature and hospital admissions.

Potential Biases

Potential exposure misclassification could bias results toward the null hypothesis.

Limitations

Exposure measurement errors for ambient temperature and outdated data may limit generalizability.

Participant Demographics

Older adults aged 65 and over in Hong Kong.

Statistical Information

P-Value

11.5% for cardiovascular disease, 10.7% for respiratory disease attributable to non-optimal temperature.

Confidence Interval

95% empirical CI: 5.3–17.2% for cardiovascular disease, 95% empirical CI: 7.1–13.9% for respiratory disease.

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1411137

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication