Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction

There are limited contemporary data evaluating the relation between hospital characteristics and outcomes of patients with cardiac arrest complicating acute myocardial infarction (AMI-CA). As such, we used the National Inpatient Sample database (2000 to 2017), to identify adult admissions with prima...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The American journal of cardiology 2022-04, Vol.169, p.24-31
Hauptverfasser: Patlolla, Sri Harsha, Pajjuru, Venkata S., Sundaragiri, Pranathi R., Cheungpasitporn, Wisit, Sachdeva, Rajesh, McDaniel, Michael C., Kumar, Gautam, Rab, S. Tanveer, Vallabhajosyula, Saraschandra
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 31
container_issue
container_start_page 24
container_title The American journal of cardiology
container_volume 169
creator Patlolla, Sri Harsha
Pajjuru, Venkata S.
Sundaragiri, Pranathi R.
Cheungpasitporn, Wisit
Sachdeva, Rajesh
McDaniel, Michael C.
Kumar, Gautam
Rab, S. Tanveer
Vallabhajosyula, Saraschandra
description There are limited contemporary data evaluating the relation between hospital characteristics and outcomes of patients with cardiac arrest complicating acute myocardial infarction (AMI-CA). As such, we used the National Inpatient Sample database (2000 to 2017), to identify adult admissions with primary diagnosis of AMI and concomitant CA. Interhospital transfers were excluded, and hospitals were classified based on location and teaching status (rural, urban nonteaching, and urban teaching) and bed size (small, medium, and large). Among 494,083 AMI-CA admissions, 9.3% received care at rural hospitals, 43.4% at urban nonteaching hospitals, and 47.3% at urban teaching hospitals. Compared with urban nonteaching and teaching hospitals, AMI-CA admissions at rural hospitals received lower rates of cardiac and noncardiac procedures. Admissions to urban teaching hospitals had higher rates of acute organ failure, concomitant cardiogenic shock, and cardiac and noncardiac procedures. When hospitals were stratified by bed size, 9.8% of AMI-CA admissions were admitted to small capacity hospitals, 26.0% to medium capacity, and 64.2% to large capacity hospitals. The use of cardiac and noncardiac procedures was lower in small hospitals with higher rates of use in medium and large hospitals. In-hospital mortality was higher in urban nonteaching (adjusted odds ratio [OR] 1.17; 95% confidence interval [CI]1.14 to 1.20; p
doi_str_mv 10.1016/j.amjcard.2021.12.057
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2622283245</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0002914921012716</els_id><sourcerecordid>2647644573</sourcerecordid><originalsourceid>FETCH-LOGICAL-c323t-c31be9f57af749deedf61f00df28b1e19cf9a3c49a20be0d6c445a252654c0e83</originalsourceid><addsrcrecordid>eNqFkU9v1DAQxS0EotvCRwBZ4sIlwX_iZH1Cq4XSSot6gbPltcfFUWIH26nUb4_LLhy4cPHImt97M5qH0BtKWkpo_2Fs9TwanWzLCKMtZS0RwzO0odtBNlRS_hxtCCGskbSTF-gy57F-KRX9S3TBBek569kGlZuYF1_01BzgASb8yedFJ188ZOwDLj8Af9VB38MMoWAdLL5bi4lzbUeH93W-1wbvUoJc8D7Oy-SNLj7c451ZSxU_RvMbmvBtcDqZ4mN4hV44PWV4fa5X6Pv152_7m-Zw9-V2vzs0hjNe6kuPIJ0YtBs6aQGs66kjxDq2PVKg0jipuemkZuQIxPam64RmgvWiMwS2_Aq9P_kuKf5c64Zq9tnANOkAcc2qXoCxLWedqOi7f9AxrinU7SrVDX11HnilxIkyKeacwKkl-VmnR0WJeopFjeoci3qKRVGmaixV9_bsvh5nsH9Vf3KowMcTAPUcDx6SysZDMGB9AlOUjf4_I34BRhShnQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2647644573</pqid></control><display><type>article</type><title>Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Patlolla, Sri Harsha ; Pajjuru, Venkata S. ; Sundaragiri, Pranathi R. ; Cheungpasitporn, Wisit ; Sachdeva, Rajesh ; McDaniel, Michael C. ; Kumar, Gautam ; Rab, S. Tanveer ; Vallabhajosyula, Saraschandra</creator><creatorcontrib>Patlolla, Sri Harsha ; Pajjuru, Venkata S. ; Sundaragiri, Pranathi R. ; Cheungpasitporn, Wisit ; Sachdeva, Rajesh ; McDaniel, Michael C. ; Kumar, Gautam ; Rab, S. Tanveer ; Vallabhajosyula, Saraschandra</creatorcontrib><description>There are limited contemporary data evaluating the relation between hospital characteristics and outcomes of patients with cardiac arrest complicating acute myocardial infarction (AMI-CA). As such, we used the National Inpatient Sample database (2000 to 2017), to identify adult admissions with primary diagnosis of AMI and concomitant CA. Interhospital transfers were excluded, and hospitals were classified based on location and teaching status (rural, urban nonteaching, and urban teaching) and bed size (small, medium, and large). Among 494,083 AMI-CA admissions, 9.3% received care at rural hospitals, 43.4% at urban nonteaching hospitals, and 47.3% at urban teaching hospitals. Compared with urban nonteaching and teaching hospitals, AMI-CA admissions at rural hospitals received lower rates of cardiac and noncardiac procedures. Admissions to urban teaching hospitals had higher rates of acute organ failure, concomitant cardiogenic shock, and cardiac and noncardiac procedures. When hospitals were stratified by bed size, 9.8% of AMI-CA admissions were admitted to small capacity hospitals, 26.0% to medium capacity, and 64.2% to large capacity hospitals. The use of cardiac and noncardiac procedures was lower in small hospitals with higher rates of use in medium and large hospitals. In-hospital mortality was higher in urban nonteaching (adjusted odds ratio [OR] 1.17; 95% confidence interval [CI]1.14 to 1.20; p &lt;0.001) and urban teaching hospitals (adjusted OR 1.36; 95% CI 1.32 to 1.39; p &lt;0.001) compared with rural hospitals. Compared with small hospitals, medium (adjusted OR 1.11; 95% CI 1.08 to 1.14; p &lt;0.001) and large hospitals (adjusted OR 1.22; 95% CI 1.19 to 1.25; p &lt;0.001) were associated with higher in-hospital mortality. In conclusion, AMI-CA admissions to large and urban hospitals had higher in-hospital mortality compared with small and rural hospitals potentially owing to greater acuity.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2021.12.057</identifier><identifier>PMID: 35063262</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acuity ; Adult ; Cardiac arrest ; Confidence intervals ; Heart ; Heart Arrest - complications ; Heart Arrest - epidemiology ; Heart Arrest - therapy ; Heart attacks ; Hospital Mortality ; Hospitals ; Hospitals, Urban ; Humans ; Medical imaging ; Mortality ; Myocardial infarction ; Myocardial Infarction - complications ; Myocardial Infarction - epidemiology ; Myocardial Infarction - therapy ; Patients ; Pulmonary arteries ; Regression analysis ; Rural areas ; Rural health care ; Shock, Cardiogenic - etiology ; Socioeconomic factors ; Teaching hospitals ; Trends ; United States - epidemiology ; Urban areas ; Urban health care</subject><ispartof>The American journal of cardiology, 2022-04, Vol.169, p.24-31</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-c31be9f57af749deedf61f00df28b1e19cf9a3c49a20be0d6c445a252654c0e83</citedby><cites>FETCH-LOGICAL-c323t-c31be9f57af749deedf61f00df28b1e19cf9a3c49a20be0d6c445a252654c0e83</cites><orcidid>0000-0002-7729-6247 ; 0000-0001-7952-0217 ; 0000-0002-1914-3998 ; 0000-0002-1631-8238 ; 0000-0001-9954-9711</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2647644573?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,782,786,3552,27931,27932,46002,64392,64394,64396,72476</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35063262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patlolla, Sri Harsha</creatorcontrib><creatorcontrib>Pajjuru, Venkata S.</creatorcontrib><creatorcontrib>Sundaragiri, Pranathi R.</creatorcontrib><creatorcontrib>Cheungpasitporn, Wisit</creatorcontrib><creatorcontrib>Sachdeva, Rajesh</creatorcontrib><creatorcontrib>McDaniel, Michael C.</creatorcontrib><creatorcontrib>Kumar, Gautam</creatorcontrib><creatorcontrib>Rab, S. Tanveer</creatorcontrib><creatorcontrib>Vallabhajosyula, Saraschandra</creatorcontrib><title>Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>There are limited contemporary data evaluating the relation between hospital characteristics and outcomes of patients with cardiac arrest complicating acute myocardial infarction (AMI-CA). As such, we used the National Inpatient Sample database (2000 to 2017), to identify adult admissions with primary diagnosis of AMI and concomitant CA. Interhospital transfers were excluded, and hospitals were classified based on location and teaching status (rural, urban nonteaching, and urban teaching) and bed size (small, medium, and large). Among 494,083 AMI-CA admissions, 9.3% received care at rural hospitals, 43.4% at urban nonteaching hospitals, and 47.3% at urban teaching hospitals. Compared with urban nonteaching and teaching hospitals, AMI-CA admissions at rural hospitals received lower rates of cardiac and noncardiac procedures. Admissions to urban teaching hospitals had higher rates of acute organ failure, concomitant cardiogenic shock, and cardiac and noncardiac procedures. When hospitals were stratified by bed size, 9.8% of AMI-CA admissions were admitted to small capacity hospitals, 26.0% to medium capacity, and 64.2% to large capacity hospitals. The use of cardiac and noncardiac procedures was lower in small hospitals with higher rates of use in medium and large hospitals. In-hospital mortality was higher in urban nonteaching (adjusted odds ratio [OR] 1.17; 95% confidence interval [CI]1.14 to 1.20; p &lt;0.001) and urban teaching hospitals (adjusted OR 1.36; 95% CI 1.32 to 1.39; p &lt;0.001) compared with rural hospitals. Compared with small hospitals, medium (adjusted OR 1.11; 95% CI 1.08 to 1.14; p &lt;0.001) and large hospitals (adjusted OR 1.22; 95% CI 1.19 to 1.25; p &lt;0.001) were associated with higher in-hospital mortality. In conclusion, AMI-CA admissions to large and urban hospitals had higher in-hospital mortality compared with small and rural hospitals potentially owing to greater acuity.</description><subject>Acuity</subject><subject>Adult</subject><subject>Cardiac arrest</subject><subject>Confidence intervals</subject><subject>Heart</subject><subject>Heart Arrest - complications</subject><subject>Heart Arrest - epidemiology</subject><subject>Heart Arrest - therapy</subject><subject>Heart attacks</subject><subject>Hospital Mortality</subject><subject>Hospitals</subject><subject>Hospitals, Urban</subject><subject>Humans</subject><subject>Medical imaging</subject><subject>Mortality</subject><subject>Myocardial infarction</subject><subject>Myocardial Infarction - complications</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Myocardial Infarction - therapy</subject><subject>Patients</subject><subject>Pulmonary arteries</subject><subject>Regression analysis</subject><subject>Rural areas</subject><subject>Rural health care</subject><subject>Shock, Cardiogenic - etiology</subject><subject>Socioeconomic factors</subject><subject>Teaching hospitals</subject><subject>Trends</subject><subject>United States - epidemiology</subject><subject>Urban areas</subject><subject>Urban health care</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkU9v1DAQxS0EotvCRwBZ4sIlwX_iZH1Cq4XSSot6gbPltcfFUWIH26nUb4_LLhy4cPHImt97M5qH0BtKWkpo_2Fs9TwanWzLCKMtZS0RwzO0odtBNlRS_hxtCCGskbSTF-gy57F-KRX9S3TBBek569kGlZuYF1_01BzgASb8yedFJ188ZOwDLj8Af9VB38MMoWAdLL5bi4lzbUeH93W-1wbvUoJc8D7Oy-SNLj7c451ZSxU_RvMbmvBtcDqZ4mN4hV44PWV4fa5X6Pv152_7m-Zw9-V2vzs0hjNe6kuPIJ0YtBs6aQGs66kjxDq2PVKg0jipuemkZuQIxPam64RmgvWiMwS2_Aq9P_kuKf5c64Zq9tnANOkAcc2qXoCxLWedqOi7f9AxrinU7SrVDX11HnilxIkyKeacwKkl-VmnR0WJeopFjeoci3qKRVGmaixV9_bsvh5nsH9Vf3KowMcTAPUcDx6SysZDMGB9AlOUjf4_I34BRhShnQ</recordid><startdate>20220415</startdate><enddate>20220415</enddate><creator>Patlolla, Sri Harsha</creator><creator>Pajjuru, Venkata S.</creator><creator>Sundaragiri, Pranathi R.</creator><creator>Cheungpasitporn, Wisit</creator><creator>Sachdeva, Rajesh</creator><creator>McDaniel, Michael C.</creator><creator>Kumar, Gautam</creator><creator>Rab, S. Tanveer</creator><creator>Vallabhajosyula, Saraschandra</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7729-6247</orcidid><orcidid>https://orcid.org/0000-0001-7952-0217</orcidid><orcidid>https://orcid.org/0000-0002-1914-3998</orcidid><orcidid>https://orcid.org/0000-0002-1631-8238</orcidid><orcidid>https://orcid.org/0000-0001-9954-9711</orcidid></search><sort><creationdate>20220415</creationdate><title>Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction</title><author>Patlolla, Sri Harsha ; Pajjuru, Venkata S. ; Sundaragiri, Pranathi R. ; Cheungpasitporn, Wisit ; Sachdeva, Rajesh ; McDaniel, Michael C. ; Kumar, Gautam ; Rab, S. Tanveer ; Vallabhajosyula, Saraschandra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-c31be9f57af749deedf61f00df28b1e19cf9a3c49a20be0d6c445a252654c0e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acuity</topic><topic>Adult</topic><topic>Cardiac arrest</topic><topic>Confidence intervals</topic><topic>Heart</topic><topic>Heart Arrest - complications</topic><topic>Heart Arrest - epidemiology</topic><topic>Heart Arrest - therapy</topic><topic>Heart attacks</topic><topic>Hospital Mortality</topic><topic>Hospitals</topic><topic>Hospitals, Urban</topic><topic>Humans</topic><topic>Medical imaging</topic><topic>Mortality</topic><topic>Myocardial infarction</topic><topic>Myocardial Infarction - complications</topic><topic>Myocardial Infarction - epidemiology</topic><topic>Myocardial Infarction - therapy</topic><topic>Patients</topic><topic>Pulmonary arteries</topic><topic>Regression analysis</topic><topic>Rural areas</topic><topic>Rural health care</topic><topic>Shock, Cardiogenic - etiology</topic><topic>Socioeconomic factors</topic><topic>Teaching hospitals</topic><topic>Trends</topic><topic>United States - epidemiology</topic><topic>Urban areas</topic><topic>Urban health care</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patlolla, Sri Harsha</creatorcontrib><creatorcontrib>Pajjuru, Venkata S.</creatorcontrib><creatorcontrib>Sundaragiri, Pranathi R.</creatorcontrib><creatorcontrib>Cheungpasitporn, Wisit</creatorcontrib><creatorcontrib>Sachdeva, Rajesh</creatorcontrib><creatorcontrib>McDaniel, Michael C.</creatorcontrib><creatorcontrib>Kumar, Gautam</creatorcontrib><creatorcontrib>Rab, S. Tanveer</creatorcontrib><creatorcontrib>Vallabhajosyula, Saraschandra</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Physical Education Index</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patlolla, Sri Harsha</au><au>Pajjuru, Venkata S.</au><au>Sundaragiri, Pranathi R.</au><au>Cheungpasitporn, Wisit</au><au>Sachdeva, Rajesh</au><au>McDaniel, Michael C.</au><au>Kumar, Gautam</au><au>Rab, S. Tanveer</au><au>Vallabhajosyula, Saraschandra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2022-04-15</date><risdate>2022</risdate><volume>169</volume><spage>24</spage><epage>31</epage><pages>24-31</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>There are limited contemporary data evaluating the relation between hospital characteristics and outcomes of patients with cardiac arrest complicating acute myocardial infarction (AMI-CA). As such, we used the National Inpatient Sample database (2000 to 2017), to identify adult admissions with primary diagnosis of AMI and concomitant CA. Interhospital transfers were excluded, and hospitals were classified based on location and teaching status (rural, urban nonteaching, and urban teaching) and bed size (small, medium, and large). Among 494,083 AMI-CA admissions, 9.3% received care at rural hospitals, 43.4% at urban nonteaching hospitals, and 47.3% at urban teaching hospitals. Compared with urban nonteaching and teaching hospitals, AMI-CA admissions at rural hospitals received lower rates of cardiac and noncardiac procedures. Admissions to urban teaching hospitals had higher rates of acute organ failure, concomitant cardiogenic shock, and cardiac and noncardiac procedures. When hospitals were stratified by bed size, 9.8% of AMI-CA admissions were admitted to small capacity hospitals, 26.0% to medium capacity, and 64.2% to large capacity hospitals. The use of cardiac and noncardiac procedures was lower in small hospitals with higher rates of use in medium and large hospitals. In-hospital mortality was higher in urban nonteaching (adjusted odds ratio [OR] 1.17; 95% confidence interval [CI]1.14 to 1.20; p &lt;0.001) and urban teaching hospitals (adjusted OR 1.36; 95% CI 1.32 to 1.39; p &lt;0.001) compared with rural hospitals. Compared with small hospitals, medium (adjusted OR 1.11; 95% CI 1.08 to 1.14; p &lt;0.001) and large hospitals (adjusted OR 1.22; 95% CI 1.19 to 1.25; p &lt;0.001) were associated with higher in-hospital mortality. In conclusion, AMI-CA admissions to large and urban hospitals had higher in-hospital mortality compared with small and rural hospitals potentially owing to greater acuity.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35063262</pmid><doi>10.1016/j.amjcard.2021.12.057</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7729-6247</orcidid><orcidid>https://orcid.org/0000-0001-7952-0217</orcidid><orcidid>https://orcid.org/0000-0002-1914-3998</orcidid><orcidid>https://orcid.org/0000-0002-1631-8238</orcidid><orcidid>https://orcid.org/0000-0001-9954-9711</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0002-9149
ispartof The American journal of cardiology, 2022-04, Vol.169, p.24-31
issn 0002-9149
1879-1913
language eng
recordid cdi_proquest_miscellaneous_2622283245
source MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland
subjects Acuity
Adult
Cardiac arrest
Confidence intervals
Heart
Heart Arrest - complications
Heart Arrest - epidemiology
Heart Arrest - therapy
Heart attacks
Hospital Mortality
Hospitals
Hospitals, Urban
Humans
Medical imaging
Mortality
Myocardial infarction
Myocardial Infarction - complications
Myocardial Infarction - epidemiology
Myocardial Infarction - therapy
Patients
Pulmonary arteries
Regression analysis
Rural areas
Rural health care
Shock, Cardiogenic - etiology
Socioeconomic factors
Teaching hospitals
Trends
United States - epidemiology
Urban areas
Urban health care
title Hospital-Level Disparities in the Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T01%3A15%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hospital-Level%20Disparities%20in%20the%20Management%20and%20Outcomes%20of%20Cardiac%20Arrest%20Complicating%20Acute%20Myocardial%20Infarction&rft.jtitle=The%20American%20journal%20of%20cardiology&rft.au=Patlolla,%20Sri%20Harsha&rft.date=2022-04-15&rft.volume=169&rft.spage=24&rft.epage=31&rft.pages=24-31&rft.issn=0002-9149&rft.eissn=1879-1913&rft_id=info:doi/10.1016/j.amjcard.2021.12.057&rft_dat=%3Cproquest_cross%3E2647644573%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2647644573&rft_id=info:pmid/35063262&rft_els_id=S0002914921012716&rfr_iscdi=true