Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy
Rationale, aims, and objectives The human body is regulated by intrinsic factors which follow a 24‐hour biological clock. Implications of a circadian rhythm in the out‐of‐hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify...
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| Veröffentlicht in: | Journal of evaluation in clinical practice 2021-02, Vol.27 (1), p.84-92 |
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| container_title | Journal of evaluation in clinical practice |
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| creator | Baert, Valentine Vilhelm, Christian Escutnaire, Joséphine Marc, Jean‐Baptiste Wiel, Eric Tazarourte, Karim Goldstein, Patrick Khoury, Carlos El Hubert, Hervé Génin, Michaël |
| description | Rationale, aims, and objectives
The human body is regulated by intrinsic factors which follow a 24‐hour biological clock. Implications of a circadian rhythm in the out‐of‐hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify temporal cluster of high or low incidence of OHCA occurrence during a day.
Methods
Multicentre comparative study based on the French national OHCA registry data between 2013 and 2017. After describing the population, the detection of significant temporal clusters of OHCA incidence was achieved using temporal scan statistics based on a Poisson model adjusted for age and gender. Then, comparisons between identified patients clusters and the rest of the population were performed.
Results
During the study, 37 163 medical OHCA victims were included. The temporal scan revealed a significant 3‐hour high incidence temporal cluster between 8:00 am and 10:59 am (Relative R = 1.76, P |
| doi_str_mv | 10.1111/jep.13390 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04342038v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2383523584</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3870-45028e39b5ca91f4e9ba6f82fea909825caf064228460cb95cd986fc0e3cd1a73</originalsourceid><addsrcrecordid>eNp1kctu1DAUhi1ERS-w4AVQJDbtIq1vSWx2VVVoq5FgAWvL4xxPPMrEwXammh07tjwjT4LD9CIh4YVtHX_-jq0fobcEn5M8LtYwnhPGJH6Bjgirq5I2FXs576u6JFTyQ3Qc4xpjwnDVvEKHjFJCKeNH6OdtC0Ny1hmdnB8KbwtdbHwY3LAq_JR-__jlbZ46H0eXdF8YHVqnTaFDgJgK008xQZjvdW7VZdINxmWngQ9F8veZjtlouuAHn0_HANu54RZmExQxBZ1gtXuNDqzuI7x5WE_Qt4_XX69uysXnT7dXl4vSMNHgkleYCmByWRktieUgl7q2glrQEktBc9nimlMqeI3NUlamlaK2BgMzLdENO0Fne2-nezUGt9Fhp7x26uZyoeYa5oxTzMSWZPZ0z47Bf5_yb9XGRQN9rwfwU1SUCVZRVgme0ff_oGs_hSH_RFHeSNYQyvBzcxN8jAHs0wsIVnOSKiep_iaZ2XcPxmm5gfaJfIwuAxd74N71sPu_Sd1df9kr_wBb6qxS</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2479371230</pqid></control><display><type>article</type><title>Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><creator>Baert, Valentine ; Vilhelm, Christian ; Escutnaire, Joséphine ; Marc, Jean‐Baptiste ; Wiel, Eric ; Tazarourte, Karim ; Goldstein, Patrick ; Khoury, Carlos El ; Hubert, Hervé ; Génin, Michaël</creator><creatorcontrib>Baert, Valentine ; Vilhelm, Christian ; Escutnaire, Joséphine ; Marc, Jean‐Baptiste ; Wiel, Eric ; Tazarourte, Karim ; Goldstein, Patrick ; Khoury, Carlos El ; Hubert, Hervé ; Génin, Michaël ; on behalf GR-RéAC ; on behalf GR‐RéAC</creatorcontrib><description>Rationale, aims, and objectives
The human body is regulated by intrinsic factors which follow a 24‐hour biological clock. Implications of a circadian rhythm in the out‐of‐hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify temporal cluster of high or low incidence of OHCA occurrence during a day.
Methods
Multicentre comparative study based on the French national OHCA registry data between 2013 and 2017. After describing the population, the detection of significant temporal clusters of OHCA incidence was achieved using temporal scan statistics based on a Poisson model adjusted for age and gender. Then, comparisons between identified patients clusters and the rest of the population were performed.
Results
During the study, 37 163 medical OHCA victims were included. The temporal scan revealed a significant 3‐hour high incidence temporal cluster between 8:00 am and 10:59 am (Relative R = 1.76, P < .001). In the identified cluster, OHCA occurred more out of the home with fewer witnesses, and advanced life support was less attempted in the cluster. No difference was observed on the return of spontaneous circulation, survival at hospital admission, and survival 30 days after the OHCA or at hospital discharge.
Conclusions
We observed a three‐hour morning high incidence peak of OHCA. This high incidence could be explained by different physiological changes in the morning. These changes are well known and the evidence of a morning peak of cardiovascular disease should enable medical teams to adapt care strategy and hospital organization.</description><identifier>ISSN: 1356-1294</identifier><identifier>EISSN: 1365-2753</identifier><identifier>DOI: 10.1111/jep.13390</identifier><identifier>PMID: 32212234</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Inc</publisher><subject>Ambulance services ; Biological clocks ; Cardiac arrest ; Cardiopulmonary Resuscitation ; chrono‐prevention ; Circadian rhythm ; Clinical outcomes ; Emergency Medical Services ; Epidemiology ; Heart attacks ; Hospitalization ; Humans ; Incidence ; Life Sciences ; Out-of-Hospital Cardiac Arrest - epidemiology ; out‐of‐hospital cardiac arrest ; Registries ; registry ; Risk factors ; temporal incidence cluster</subject><ispartof>Journal of evaluation in clinical practice, 2021-02, Vol.27 (1), p.84-92</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><rights>2021 John Wiley & Sons, Ltd.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3870-45028e39b5ca91f4e9ba6f82fea909825caf064228460cb95cd986fc0e3cd1a73</citedby><cites>FETCH-LOGICAL-c3870-45028e39b5ca91f4e9ba6f82fea909825caf064228460cb95cd986fc0e3cd1a73</cites><orcidid>0000-0002-0507-6181 ; 0000-0003-2944-7597 ; 0000-0002-9098-7528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjep.13390$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjep.13390$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32212234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.univ-lille.fr/hal-04342038$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Baert, Valentine</creatorcontrib><creatorcontrib>Vilhelm, Christian</creatorcontrib><creatorcontrib>Escutnaire, Joséphine</creatorcontrib><creatorcontrib>Marc, Jean‐Baptiste</creatorcontrib><creatorcontrib>Wiel, Eric</creatorcontrib><creatorcontrib>Tazarourte, Karim</creatorcontrib><creatorcontrib>Goldstein, Patrick</creatorcontrib><creatorcontrib>Khoury, Carlos El</creatorcontrib><creatorcontrib>Hubert, Hervé</creatorcontrib><creatorcontrib>Génin, Michaël</creatorcontrib><creatorcontrib>on behalf GR-RéAC</creatorcontrib><creatorcontrib>on behalf GR‐RéAC</creatorcontrib><title>Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy</title><title>Journal of evaluation in clinical practice</title><addtitle>J Eval Clin Pract</addtitle><description>Rationale, aims, and objectives
The human body is regulated by intrinsic factors which follow a 24‐hour biological clock. Implications of a circadian rhythm in the out‐of‐hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify temporal cluster of high or low incidence of OHCA occurrence during a day.
Methods
Multicentre comparative study based on the French national OHCA registry data between 2013 and 2017. After describing the population, the detection of significant temporal clusters of OHCA incidence was achieved using temporal scan statistics based on a Poisson model adjusted for age and gender. Then, comparisons between identified patients clusters and the rest of the population were performed.
Results
During the study, 37 163 medical OHCA victims were included. The temporal scan revealed a significant 3‐hour high incidence temporal cluster between 8:00 am and 10:59 am (Relative R = 1.76, P < .001). In the identified cluster, OHCA occurred more out of the home with fewer witnesses, and advanced life support was less attempted in the cluster. No difference was observed on the return of spontaneous circulation, survival at hospital admission, and survival 30 days after the OHCA or at hospital discharge.
Conclusions
We observed a three‐hour morning high incidence peak of OHCA. This high incidence could be explained by different physiological changes in the morning. These changes are well known and the evidence of a morning peak of cardiovascular disease should enable medical teams to adapt care strategy and hospital organization.</description><subject>Ambulance services</subject><subject>Biological clocks</subject><subject>Cardiac arrest</subject><subject>Cardiopulmonary Resuscitation</subject><subject>chrono‐prevention</subject><subject>Circadian rhythm</subject><subject>Clinical outcomes</subject><subject>Emergency Medical Services</subject><subject>Epidemiology</subject><subject>Heart attacks</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Incidence</subject><subject>Life Sciences</subject><subject>Out-of-Hospital Cardiac Arrest - epidemiology</subject><subject>out‐of‐hospital cardiac arrest</subject><subject>Registries</subject><subject>registry</subject><subject>Risk factors</subject><subject>temporal incidence cluster</subject><issn>1356-1294</issn><issn>1365-2753</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kctu1DAUhi1ERS-w4AVQJDbtIq1vSWx2VVVoq5FgAWvL4xxPPMrEwXammh07tjwjT4LD9CIh4YVtHX_-jq0fobcEn5M8LtYwnhPGJH6Bjgirq5I2FXs576u6JFTyQ3Qc4xpjwnDVvEKHjFJCKeNH6OdtC0Ny1hmdnB8KbwtdbHwY3LAq_JR-__jlbZ46H0eXdF8YHVqnTaFDgJgK008xQZjvdW7VZdINxmWngQ9F8veZjtlouuAHn0_HANu54RZmExQxBZ1gtXuNDqzuI7x5WE_Qt4_XX69uysXnT7dXl4vSMNHgkleYCmByWRktieUgl7q2glrQEktBc9nimlMqeI3NUlamlaK2BgMzLdENO0Fne2-nezUGt9Fhp7x26uZyoeYa5oxTzMSWZPZ0z47Bf5_yb9XGRQN9rwfwU1SUCVZRVgme0ff_oGs_hSH_RFHeSNYQyvBzcxN8jAHs0wsIVnOSKiep_iaZ2XcPxmm5gfaJfIwuAxd74N71sPu_Sd1df9kr_wBb6qxS</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Baert, Valentine</creator><creator>Vilhelm, Christian</creator><creator>Escutnaire, Joséphine</creator><creator>Marc, Jean‐Baptiste</creator><creator>Wiel, Eric</creator><creator>Tazarourte, Karim</creator><creator>Goldstein, Patrick</creator><creator>Khoury, Carlos El</creator><creator>Hubert, Hervé</creator><creator>Génin, Michaël</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-0507-6181</orcidid><orcidid>https://orcid.org/0000-0003-2944-7597</orcidid><orcidid>https://orcid.org/0000-0002-9098-7528</orcidid></search><sort><creationdate>202102</creationdate><title>Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy</title><author>Baert, Valentine ; Vilhelm, Christian ; Escutnaire, Joséphine ; Marc, Jean‐Baptiste ; Wiel, Eric ; Tazarourte, Karim ; Goldstein, Patrick ; Khoury, Carlos El ; Hubert, Hervé ; Génin, Michaël</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3870-45028e39b5ca91f4e9ba6f82fea909825caf064228460cb95cd986fc0e3cd1a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Ambulance services</topic><topic>Biological clocks</topic><topic>Cardiac arrest</topic><topic>Cardiopulmonary Resuscitation</topic><topic>chrono‐prevention</topic><topic>Circadian rhythm</topic><topic>Clinical outcomes</topic><topic>Emergency Medical Services</topic><topic>Epidemiology</topic><topic>Heart attacks</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Incidence</topic><topic>Life Sciences</topic><topic>Out-of-Hospital Cardiac Arrest - epidemiology</topic><topic>out‐of‐hospital cardiac arrest</topic><topic>Registries</topic><topic>registry</topic><topic>Risk factors</topic><topic>temporal incidence cluster</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baert, Valentine</creatorcontrib><creatorcontrib>Vilhelm, Christian</creatorcontrib><creatorcontrib>Escutnaire, Joséphine</creatorcontrib><creatorcontrib>Marc, Jean‐Baptiste</creatorcontrib><creatorcontrib>Wiel, Eric</creatorcontrib><creatorcontrib>Tazarourte, Karim</creatorcontrib><creatorcontrib>Goldstein, Patrick</creatorcontrib><creatorcontrib>Khoury, Carlos El</creatorcontrib><creatorcontrib>Hubert, Hervé</creatorcontrib><creatorcontrib>Génin, Michaël</creatorcontrib><creatorcontrib>on behalf GR-RéAC</creatorcontrib><creatorcontrib>on behalf GR‐RéAC</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of evaluation in clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baert, Valentine</au><au>Vilhelm, Christian</au><au>Escutnaire, Joséphine</au><au>Marc, Jean‐Baptiste</au><au>Wiel, Eric</au><au>Tazarourte, Karim</au><au>Goldstein, Patrick</au><au>Khoury, Carlos El</au><au>Hubert, Hervé</au><au>Génin, Michaël</au><aucorp>on behalf GR-RéAC</aucorp><aucorp>on behalf GR‐RéAC</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy</atitle><jtitle>Journal of evaluation in clinical practice</jtitle><addtitle>J Eval Clin Pract</addtitle><date>2021-02</date><risdate>2021</risdate><volume>27</volume><issue>1</issue><spage>84</spage><epage>92</epage><pages>84-92</pages><issn>1356-1294</issn><eissn>1365-2753</eissn><abstract>Rationale, aims, and objectives
The human body is regulated by intrinsic factors which follow a 24‐hour biological clock. Implications of a circadian rhythm in the out‐of‐hospital cardiac arrest (OHCA) are studied but the literature is not consistent. The main objective of our study was to identify temporal cluster of high or low incidence of OHCA occurrence during a day.
Methods
Multicentre comparative study based on the French national OHCA registry data between 2013 and 2017. After describing the population, the detection of significant temporal clusters of OHCA incidence was achieved using temporal scan statistics based on a Poisson model adjusted for age and gender. Then, comparisons between identified patients clusters and the rest of the population were performed.
Results
During the study, 37 163 medical OHCA victims were included. The temporal scan revealed a significant 3‐hour high incidence temporal cluster between 8:00 am and 10:59 am (Relative R = 1.76, P < .001). In the identified cluster, OHCA occurred more out of the home with fewer witnesses, and advanced life support was less attempted in the cluster. No difference was observed on the return of spontaneous circulation, survival at hospital admission, and survival 30 days after the OHCA or at hospital discharge.
Conclusions
We observed a three‐hour morning high incidence peak of OHCA. This high incidence could be explained by different physiological changes in the morning. These changes are well known and the evidence of a morning peak of cardiovascular disease should enable medical teams to adapt care strategy and hospital organization.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Inc</pub><pmid>32212234</pmid><doi>10.1111/jep.13390</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0507-6181</orcidid><orcidid>https://orcid.org/0000-0003-2944-7597</orcidid><orcidid>https://orcid.org/0000-0002-9098-7528</orcidid></addata></record> |
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| ispartof | Journal of evaluation in clinical practice, 2021-02, Vol.27 (1), p.84-92 |
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| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Ambulance services Biological clocks Cardiac arrest Cardiopulmonary Resuscitation chrono‐prevention Circadian rhythm Clinical outcomes Emergency Medical Services Epidemiology Heart attacks Hospitalization Humans Incidence Life Sciences Out-of-Hospital Cardiac Arrest - epidemiology out‐of‐hospital cardiac arrest Registries registry Risk factors temporal incidence cluster |
| title | Identification of a morning out‐of‐hospital cardiac arrest cluster of high‐incidence: towards a chrono‐preventive care strategy |
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