Menu
Recruiting NCT06663267

Acute Effects of Meteorological Factors and Air Pollution on Cardiovascular Health

Observational Cardiovascular System Health

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: NOT.
Who it may be relevant to
Registry conditions: Cardiovascular System, Health. Basic parameters: 18 years — 75 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

The goal of this observational study is to analyze the acute effects of meteorological factors and air pollution on cardiovascular system. The main question it aims to answer is: 1. How do meteorological factors and air pollution affect cardiovascular system? 2. What is the interaction between meteorological factors and air pollution on cardiovascular system? Participants will: 1. Provide their health data obtained in physical examination, including but not limited to blood pressure, blood routine, urine routine and B-ultrasound. 2. agree that the research team will use their personal identification number, gender, age, education level and other information for statistical analysis of the data.

Detailed description

The collected data include: ID number (or unique identification code similar to ID number), physical examination date, work unit, occupation, gender, age, systolic blood pressure, diastolic blood pressure, height, weight, blood routine, urine routine and blood biochemical examination results,Color Doppler (or B-ultrasound) examination results (thyroid color Doppler, abdominal color Doppler, urinary color Doppler, cardiac color Doppler, cervical vascular color Doppler, etc.), electrocardiogram, cardiac CTA, carbon 13 breath test, and written diagnosis results of liver fibrosis.

Interventions

  • Other NOT
    This retrospective cohort study involves no new interventions. It analyzes existing health data collected from subjects exposed to varying atmospheric conditions to assess impacts on health outcomes.

Primary outcome measures

  • Troponin [Time frame: The troponin data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Blood pressure [Time frame: The blood pressure data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
Secondary outcome measures (8)
  • Left ventricular ejection fraction(LVEF) [Time frame: The left ventricular ejection fraction(LVEF)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • White cell count [Time frame: The white cell count data were tested at baseline 3 months before exposure to meteorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Controlled Attenuation Parameter(CAP) [Time frame: The Controlled Attenuation Parameter(CAP)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • ST segment of electrocardiogram [Time frame: The ST segment of electrocardiogram were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Degree of coronary artery stenosis [Time frame: The degree of coronary artery stenosis data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Weight [Time frame: The weight data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Height [Time frame: The height data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]
  • Urinary glucose [Time frame: The urinary glucose data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.]

Eligibility criteria

Inclusion criteria

·Relevant records in the physical examination database shall be ≥3 times

·≥18 years old

Exclusion criteria

  • Relevant records in the physical examination database shall be ≥3times
  • Serious heart and lung diseases
  • Malignant tumors
  • Serious mental illness in the past

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Cohort

Study locations

China · 1 center
  • MingWei Wang — Hanzhou

Publications

  • Clement DL, De Buyzere ML, De Bacquer DA, de Leeuw PW, Duprez DA, Fagard RH, Gheeraert PJ, Missault LH, Braun JJ, Six RO, Van Der Niepen P, O'Brien E; Office versus Ambulatory Pressure Study Investigators. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003 Jun 12;348(24):2407-15. doi: 10.1056/NEJMoa022273. PMID 12802026
  • McCarron P, Smith GD, Okasha M, McEwen J. Blood pressure in young adulthood and mortality from cardiovascular disease. Lancet. 2000 Apr 22;355(9213):1430-1. doi: 10.1016/S0140-6736(00)02146-2. PMID 10791531
  • Tandon S, Grande AJ, Karamanos A, Cruickshank JK, Roever L, Mudway IS, Kelly FJ, Ayis S, Harding S. Association of Ambient Air Pollution with Blood Pressure in Adolescence: A Systematic-review and Meta-analysis. Curr Probl Cardiol. 2023 Feb;48(2):101460. doi: 10.1016/j.cpcardiol.2022.101460. Epub 2022 Oct 18. PMID 36265590

Identifiers

NCT: NCT06663267 · AH-2023-005

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗