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Effect of Climatic Factors on the Seasonal Fluctuation of Pulmonary Embolism

Association Between Climatic Factors and Hospital Admissions for Pulmonary Embolism: Time Series Study in China Between Years 2014 to 2019.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04419194
Enrollment
10000
Registered
2020-06-05
Start date
2014-07-31
Completion date
2019-07-31
Last updated
2020-06-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Embolism

Keywords

Pulmonary Embolism, Climate

Brief summary

To estimate the risks of daily hospital admissions for pulmonary embolism associated with short term exposure to climatic factors (temperature, precipitation, air pressure, sunshine duration, relative humidity, wind speed, and ambient fine particulate matter \[aerodynamic diameter ≤2.5 μm; PM2.5\]) in China.

Detailed description

Hospital admissions for pulmonary embolism were identified based on the primary diagnosis. The central adjudication committee at Peking Union Medical College Hospital (Beijing, China) reviewed all medical and death records and determined the final diagnosis. Two adjudication committee members verified events independently, and discrepancies were resolved by discussion involving additional committee members.For each admission, we extracted data on the date of admission, sex, age, and location of the patient from hospital information system. All the data of daily meteorological variables for the same period, including temperature variables (°C) (the min, max and mean temperature), relative humidity (%), air pressure (hPa), precipitation (mm), wind speed (m/s) and sunshine duration (h), were collected from the China Meteorological Data Sharing Service System (http://www.escience.gov.cn/metdata/page/index.html). The data on PM2.5 levels in each city was collected from the National Air Pollution Monitoring System. An overdispersed generalised additive model was used to estimate associations between climatic factors and pulmonary embolism admissions. A distributed lag non-linear model (DLNM) was employed to examine their lagged effects.

Interventions

None listed

Sponsors

Peking Union Medical College Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CROSSOVER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Males and females. * With a primary diagnosis of pulmonary embolism based on clinical symptoms, with or without radiologic features.

Exclusion criteria

* Lack of important data.

Design outcomes

Primary

MeasureTime frameDescription
Incidence of pulmonary embolismFrom July 31, 2014 to July 31, 2019Daily counts of hospital admissions for primary diagnoses of pulmonary embolism among different demographic groups were used to estimate the associations between climatic factors and morbidity.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026