Effect of Climatic Factors on the Seasonal Fluctuation of Pulmonary Embolism

Pulmonary Embolism Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04419194
• Other study ID #: PUMCH-PE-Climatic factors
• Status: Completed
• Start date: July 31, 2014
• Est. completion date: July 31, 2019

Study information

• Verified date: May 2020
• Source: Peking Union Medical College Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 10000
• Est. completion date: July 31, 2019
• Est. primary completion date: July 31, 2019
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

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.

Related Conditions & MeSH terms

• Embolism
• Pulmonary Embolism

Locations

Country	Name	City	State
China	Peking Union Medical College Hospital	Beijing	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
Peking Union Medical College Hospital

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Incidence of pulmonary embolism	Daily 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.	From July 31, 2014 to July 31, 2019