Fig. ImpetuousNCT06798987

Based on the Data from the Zhejiang Emergency Center, Explore the Independent and Interactive Effects of the Association Between Meteorological Factors and Air Pollution and the Number of Emergency Personnel, Identify the Relevant Vulnerable Population Characteristics, Sensitive Disease Types

An observational study of Fig. Impetuous, run by Li hengjie at 1 site in China.

Enrolling by invitation

Enrolling by invitation. The study team selects and invites participants, usually from an existing group of patients.

Sites and contacts

Official record

Search all trials

Trial summary

Who is it for?: Any age
Conditions the study is for: Fig. Impetuous
What is being tested?: Meteorological conditions and air pollution
How many people: 1,500,000 participants
Where: 1 siteChina
Study dates: 1 May 2024to 1 Mar 2025
How long will I take part?: 1 Year
Phase: Observational
Are there results?: Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

Ages Any age
All sexes
No healthy volunteers
Child, Adult, Older adult

Study population: Number of emergency patients per hour at the emergency command center of Zhejiang Province

Who may be able to join

-Emergency data of Zhejiang Emergency Command Center in the past 5 years

Who cannot join

Prehospital emergency information from non-Zhejiang province domains
Emergency calls due to labor and delivery.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

China1 site

Zhejiang Provincial People's Hospital
Hangzhou

Other trials in China

About this study

Official title: Characterization of the Spatial Distribution and Drivers of the Association of Meteorological Factors and Air Pollution with the Number of First Aiders

Based on the health data from Zhejiang Emergency Command Center, combined with meteorological, air pollution, land use and socio-economic data of Zhejiang Province, distributional lag nonlinear models, grouped weighted quantile and regression and Bayesian spatial models were used to explore the independent and interactive effects of the association between meteorological factors and air pollution and the number of first-aiders, to identify the related characteristics of the vulnerable populations, the types of sensitive diseases and the high-risk areas, and to elucidate the driving factors of the association between meteorological factors and air pollution and the number of first-aiders. It also clarifies the drivers of the association between meteorological factors and air pollution and the number of emergencies, so as to provide a reference for the government to take targeted measures to reduce the burden of related healthcare services.

Conditions: Fig. Impetuous
Being tested: Meteorological conditions and air pollution

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Meteorological conditions and air pollutionOther
Climate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods

What is being measured

The primary outcome is the main question the study is designed to answer.

Number of first aiders per hour as assessed by R4.4.0
Measured: 6 months
Vulnerable population characteristics as assessed by R4.4.0
Measured: 6 Months
Types of Sensitive Diseases as assessed by R4.4.0
Measured: 6 Month
High-risk areas as assessed by R4.4.0
Measured: 6 months

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

1 May 20241 Mar 2025

First posted29 Jan 2025
Study start1 May 2024
Primary completion31 Dec 2024
Study completion1 Mar 2025 (estimated)

Resources

Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
Publications (16)Papers the sponsor has linked to this study.
Other trials for Fig. ImpetuousStudies of the same condition, open and under way.
What the trial phases meanHow a treatment moves from first tests in people to approval.

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design

Study type: Observational
Observational model: Cohort
Time perspective: Cross-sectional
Enrolment: 1,500,000 participants (estimated)
Target duration: 1 Year

IDs, dates and publications

ClinicalTrials.gov ID: NCT06798987
Sponsor's protocol ID: QT202146
Status last verified: Jan 2025
First submitted: 13 Jan 2025
Last updated: 29 Jan 2025
Results posted: No
Data monitoring committee: No

Publications

Cui Y, Ai S, Liu Y, Qian ZM, Wang C, Sun J, Sun X, Zhang S, Syberg KM, Howard S, Qin L, Lin H. Hourly associations between ambient temperature and emergency ambulance calls in one central Chinese city: Call for an immediate emergency plan. Sci Total Environ. 2020 Apr 1;711:135046. doi: 10.1016/j.scitotenv.2019.135046. Epub 2019 Nov 3.
PubMed 31812379
Bobb JF, Peng RD, Bell ML, Dominici F. Heat-related mortality and adaptation to heat in the United States. Environ Health Perspect. 2014 Aug;122(8):811-6. doi: 10.1289/ehp.1307392. Epub 2014 Apr 29.
PubMed 24780880
Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O3 and emergency ambulance dispatches in Japan: A multi-city study. Sci Total Environ. 2023 Feb 25;861:160725. doi: 10.1016/j.scitotenv.2022.160725. Epub 2022 Dec 6.
PubMed 36493818
Wang X, Leng M, Liu Y, Qian ZM, Zhang J, Li Z, Sun L, Qin L, Wang C, Howard SW, Vaughn MG, Yan Y, Lin H. Different sized particles associated with all-cause and cause-specific emergency ambulance calls: A multicity time-series analysis in China. Sci Total Environ. 2021 Aug 20;783:147060. doi: 10.1016/j.scitotenv.2021.147060. Epub 2021 Apr 18.
PubMed 34088160
Michikawa T, Sasaki J, Yamazaki S, Takami A, Asakura K, Imamura H, Ueda K, Saito S, Hoshi J, Yoshino A, Sugata S, Nitta H, Nishiwaki Y. A Case-Crossover Analysis of the Association between Exposure to Total PM2.5 and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo. Environ Sci Technol. 2022 Jun 7;56(11):7319-7327. doi: 10.1021/acs.est.1c08219. Epub 2022 May 24.
PubMed 35608996
Dawson LP, Andrew E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Guo Y, Smith K, Stub D. Temperature-related chest pain presentations and future projections with climate change. Sci Total Environ. 2022 Nov 20;848:157716. doi: 10.1016/j.scitotenv.2022.157716. Epub 2022 Jul 29.
PubMed 35914598
Sangkharat K, Mahmood MA, Thornes JE, Fisher PA, Pope FD. Impact of extreme temperatures on ambulance dispatches in London, UK. Environ Res. 2020 Mar;182:109100. doi: 10.1016/j.envres.2019.109100. Epub 2020 Jan 3.
PubMed 31918315
Chen R, Yin P, Wang L, Liu C, Niu Y, Wang W, Jiang Y, Liu Y, Liu J, Qi J, You J, Kan H, Zhou M. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018 Oct 31;363:k4306. doi: 10.1136/bmj.k4306.
PubMed 30381293
Gasparrini A, Guo Y, Hashizume M, Lavigne E, Zanobetti A, Schwartz J, Tobias A, Tong S, Rocklov J, Forsberg B, Leone M, De Sario M, Bell ML, Guo YL, Wu CF, Kan H, Yi SM, de Sousa Zanotti Stagliorio Coelho M, Saldiva PH, Honda Y, Kim H, Armstrong B. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet. 2015 Jul 25;386(9991):369-75. doi: 10.1016/S0140-6736(14)62114-0. Epub 2015 May 20.
PubMed 26003380
Ahn J, Bae S, Chung BH, Myong JP, Park MY, Lim YH, Kang MY. Association of summer temperatures and acute kidney injury in South Korea: a case-crossover study. Int J Epidemiol. 2023 Jun 6;52(3):774-782. doi: 10.1093/ije/dyac163.
PubMed 35950799
Achilleos S, Al-Ozairi E, Alahmad B, Garshick E, Neophytou AM, Bouhamra W, Yassin MF, Koutrakis P. Acute effects of air pollution on mortality: A 17-year analysis in Kuwait. Environ Int. 2019 May;126:476-483. doi: 10.1016/j.envint.2019.01.072. Epub 2019 Mar 4.
PubMed 30844583
Fiore AM, Naik V, Spracklen DV, Steiner A, Unger N, Prather M, Bergmann D, Cameron-Smith PJ, Cionni I, Collins WJ, Dalsoren S, Eyring V, Folberth GA, Ginoux P, Horowitz LW, Josse B, Lamarque JF, MacKenzie IA, Nagashima T, O'Connor FM, Righi M, Rumbold ST, Shindell DT, Skeie RB, Sudo K, Szopa S, Takemura T, Zeng G. Global air quality and climate. Chem Soc Rev. 2012 Oct 7;41(19):6663-83. doi: 10.1039/c2cs35095e. Epub 2012 Aug 6.
PubMed 22868337
Chen K, Wolf K, Breitner S, Gasparrini A, Stafoggia M, Samoli E, Andersen ZJ, Bero-Bedada G, Bellander T, Hennig F, Jacquemin B, Pekkanen J, Hampel R, Cyrys J, Peters A, Schneider A; UF&HEALTH Study Group. Two-way effect modifications of air pollution and air temperature on total natural and cardiovascular mortality in eight European urban areas. Environ Int. 2018 Jul;116:186-196. doi: 10.1016/j.envint.2018.04.021. Epub 2018 Apr 22.
PubMed 29689465
Doherty RM, Heal MR, O'Connor FM. Climate change impacts on human health over Europe through its effect on air quality. Environ Health. 2017 Dec 5;16(Suppl 1):118. doi: 10.1186/s12940-017-0325-2.
PubMed 29219103
Ebi KL, Capon A, Berry P, Broderick C, de Dear R, Havenith G, Honda Y, Kovats RS, Ma W, Malik A, Morris NB, Nybo L, Seneviratne SI, Vanos J, Jay O. Hot weather and heat extremes: health risks. Lancet. 2021 Aug 21;398(10301):698-708. doi: 10.1016/S0140-6736(21)01208-3.
PubMed 34419205

Study at a glance

From the registry record, last updated by the sponsor on 29 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.

Official title: Characterization of the Spatial Distribution and Drivers of the Association of Meteorological Factors and Air Pollution with the Number of First Aiders
ClinicalTrials.gov ID: NCT06798987
Acronym / sponsor ID: QT202146
Conditions: Fig. Impetuous
Study type: Observational
Recruitment status: Enrolling by invitation
Enrolment: 1,500,000 participants (estimated)
Lead sponsor: Li hengjieUniversity, hospital or other
Study start: 1 May 2024 (actual)
Primary completion: 31 Dec 2024 (actual)
Study completion: 1 Mar 2025 (estimated)
First posted: 29 Jan 2025 (actual)
Results: Not posted in the source record

Clinical summary

The research question as the sponsor registered it. This describes what the study plans to test, not what it found.

Study design

Observational model: Cohort
Time perspective: Cross-sectional
Target follow-up: 1 Year

Who may qualify

Sex: All
Healthy volunteers: Not accepted
Age groups: Child, Adult, Older adult
Study population: Number of emergency patients per hour at the emergency command center of Zhejiang Province

Key inclusion criteria (1 listed)

-Emergency data of Zhejiang Emergency Command Center in the past 5 years

Key exclusion criteria (2 listed)

Prehospital emergency information from non-Zhejiang province domains
Emergency calls due to labor and delivery.

Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.

Interventions

Intervention	Type	Arms
Meteorological conditions and air pollutionClimate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods	Other	–

Primary outcome

Number of first aiders per hour as assessed by R4.4.0
Time frame: 6 months
Vulnerable population characteristics as assessed by R4.4.0
Time frame: 6 Months
Types of Sensitive Diseases as assessed by R4.4.0
Time frame: 6 Month
High-risk areas as assessed by R4.4.0
Time frame: 6 months

Results and safety

This study is still under way. Results are not available in the source record yet.

Research links

Official record on ClinicalTrials.govLast updated by the sponsor 29 Jan 2025.
Background: PubMed 31812379Cui Y, Ai S, Liu Y, Qian ZM, Wang C, Sun J, Sun X, Zhang S, Syberg KM, Howard S, Qin L, Lin H. Hourly associations between ambient temperature and emergency ambulance calls in one central Chinese city: Call for an immediate emergency plan. Sci Total Environ. 2020 Apr 1;711:135046. doi: 10.1016/j.scitotenv.2019.135046. Epub 2019 Nov 3.
Background: PubMed 24780880Bobb JF, Peng RD, Bell ML, Dominici F. Heat-related mortality and adaptation to heat in the United States. Environ Health Perspect. 2014 Aug;122(8):811-6. doi: 10.1289/ehp.1307392. Epub 2014 Apr 29.
Background: PubMed 36493818Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O3 and emergency ambulance dispatches in Japan: A multi-city study. Sci Total Environ. 2023 Feb 25;861:160725. doi: 10.1016/j.scitotenv.2022.160725. Epub 2022 Dec 6.
Background: PubMed 34088160Wang X, Leng M, Liu Y, Qian ZM, Zhang J, Li Z, Sun L, Qin L, Wang C, Howard SW, Vaughn MG, Yan Y, Lin H. Different sized particles associated with all-cause and cause-specific emergency ambulance calls: A multicity time-series analysis in China. Sci Total Environ. 2021 Aug 20;783:147060. doi: 10.1016/j.scitotenv.2021.147060. Epub 2021 Apr 18.
Background: PubMed 35608996Michikawa T, Sasaki J, Yamazaki S, Takami A, Asakura K, Imamura H, Ueda K, Saito S, Hoshi J, Yoshino A, Sugata S, Nitta H, Nishiwaki Y. A Case-Crossover Analysis of the Association between Exposure to Total PM2.5 and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo. Environ Sci Technol. 2022 Jun 7;56(11):7319-7327. doi: 10.1021/acs.est.1c08219. Epub 2022 May 24.
Background: PubMed 35914598Dawson LP, Andrew E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Guo Y, Smith K, Stub D. Temperature-related chest pain presentations and future projections with climate change. Sci Total Environ. 2022 Nov 20;848:157716. doi: 10.1016/j.scitotenv.2022.157716. Epub 2022 Jul 29.
Background: PubMed 31918315Sangkharat K, Mahmood MA, Thornes JE, Fisher PA, Pope FD. Impact of extreme temperatures on ambulance dispatches in London, UK. Environ Res. 2020 Mar;182:109100. doi: 10.1016/j.envres.2019.109100. Epub 2020 Jan 3.
Background: PubMed 30381293Chen R, Yin P, Wang L, Liu C, Niu Y, Wang W, Jiang Y, Liu Y, Liu J, Qi J, You J, Kan H, Zhou M. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018 Oct 31;363:k4306. doi: 10.1136/bmj.k4306.
Background: PubMed 26003380Gasparrini A, Guo Y, Hashizume M, Lavigne E, Zanobetti A, Schwartz J, Tobias A, Tong S, Rocklov J, Forsberg B, Leone M, De Sario M, Bell ML, Guo YL, Wu CF, Kan H, Yi SM, de Sousa Zanotti Stagliorio Coelho M, Saldiva PH, Honda Y, Kim H, Armstrong B. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet. 2015 Jul 25;386(9991):369-75. doi: 10.1016/S0140-6736(14)62114-0. Epub 2015 May 20.
Background: PubMed 35950799Ahn J, Bae S, Chung BH, Myong JP, Park MY, Lim YH, Kang MY. Association of summer temperatures and acute kidney injury in South Korea: a case-crossover study. Int J Epidemiol. 2023 Jun 6;52(3):774-782. doi: 10.1093/ije/dyac163.
Background: PubMed 30844583Achilleos S, Al-Ozairi E, Alahmad B, Garshick E, Neophytou AM, Bouhamra W, Yassin MF, Koutrakis P. Acute effects of air pollution on mortality: A 17-year analysis in Kuwait. Environ Int. 2019 May;126:476-483. doi: 10.1016/j.envint.2019.01.072. Epub 2019 Mar 4.
Background: PubMed 22868337Fiore AM, Naik V, Spracklen DV, Steiner A, Unger N, Prather M, Bergmann D, Cameron-Smith PJ, Cionni I, Collins WJ, Dalsoren S, Eyring V, Folberth GA, Ginoux P, Horowitz LW, Josse B, Lamarque JF, MacKenzie IA, Nagashima T, O'Connor FM, Righi M, Rumbold ST, Shindell DT, Skeie RB, Sudo K, Szopa S, Takemura T, Zeng G. Global air quality and climate. Chem Soc Rev. 2012 Oct 7;41(19):6663-83. doi: 10.1039/c2cs35095e. Epub 2012 Aug 6.

Referral and contact

AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.

The record lists no contact. Use the official record to reach the sponsor.

1 site in 1 country: see every site and its status.

Questions about this trial

What is this clinical trial studying?

An observational study of Fig. Impetuous, run by Li hengjie at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: enrolling by invitation, as of the sponsor's last update on 29 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Number of first aiders per hour as assessed by R4.4.0 (time frame: 6 months). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT06798987, which also lists 16 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Jan 2025.