<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">SS</journal-id><journal-title-group><journal-title>Surgical Science</journal-title></journal-title-group><issn pub-type="epub">2157-9407</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ss.2017.81004</article-id><article-id pub-id-type="publisher-id">SS-73461</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Percutaneous Coronary Intervention Reduces Mortality in Out-of-Hospital Cardiac Arrest after Acute Coronary Syndrome: An Outcomes-Based Study from the Nationwide Inpatient Sample Database
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Christine</surname><given-names>S. M. Lau</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mahyar</surname><given-names>Pourriahi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amanda</surname><given-names>Ward</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kedar</surname><given-names>P. Kulkarni</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Krishnaraj</surname><given-names>Mahendraraj</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ronald</surname><given-names>S. Chamberlain</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Saint George’s University School of Medicine, St. George, Grenada</addr-line></aff><aff id="aff1"><addr-line>Department of Surgery, Saint Barnabas Medical Center, Livingston, NJ, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ronald.chamberlain@bannerhealth.com(RSC)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>12</day><month>01</month><year>2017</year></pub-date><volume>08</volume><issue>01</issue><fpage>27</fpage><lpage>36</lpage><history><date date-type="received"><day>December</day>	<month>6,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>January</month>	<year>10,</year>	</date><date date-type="accepted"><day>January</day>	<month>13,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Mortality following cardiac arrest (CA) is extremely high, with rates as high as 91.5% after out-of-hospital cardiac arrest (OHCA) and 76.1% after in-hospital cardiac arrest (IHCA). This study assessed the clinical profile and outcomes of a large cohort of patients undergoing primary percutaneous coronary intervention (PCI) for OHCA to determine its effect on clinical outcomes and mortality. 
  Methods: 247,456 patients with OHCA due to acute coronary syndrome (ACS) were abstracted from the Nationwide Inpatient Sample database (2001-2011). 
  Results: Among 247,456 OHCA patients, 11,111 (4.5%) had PCI while 236,345 (95.5%) did not. Patients who underwent PCI were younger than those who did not receive PCI (64 vs. 66 years), 
  <em>p</em> &lt; 0.001. Caucasians (79.6%) and males (66.5%) were more likely to undergo PCI, while significantly fewer African Americans (AA) (7.7%) and Hispanics (6.5%) received PCI, 
  <em>p</em> &lt; 0.001. A significantly greater percentage of patients with private insurance (35.5%) or Medicare (47.4%) underwent PCI, 
  <em>p</em> &lt; 0.001. Overall mortality was significantly lower among those undergoing PCI (28.3% vs. 65.4%), 
  <em>p</em> &lt; 0.001. Multivariate analysis identified age &gt;65 years, female gender, AA or Hispanic race, advanced cancer, and liver dysfunction as independent factors associated with increased mortality, while PCI conferred a survival advantage in OHCA, 
  <em>p </em>&lt; 0.001. 
  Conclusion: Treatment with PCI was associated with a significant decrease in mortality. PCI was performed most often in Caucasians, males, patients &gt; 50 years old, and those with Medicare. PCI significantly reduces mortality in OHCA patients and should be considered in all OHCA patients. Further investigation and development of methods to overcome the apparent socioeconomic barriers to PCI is required.
 
</p></abstract><kwd-group><kwd>Cardiac Arrest</kwd><kwd> Percutaneous Coronary Intervention</kwd><kwd> NIS</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Out-of-hospital cardiac arrest (OHCA) is a leading cause of death in the industrialized world [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref3">3</xref>] . Over 350,000 people experience OHCA each year in the United States (US), while an additional 200,000 patients experience in-hospital cardiac arrest (IHCA) [<xref ref-type="bibr" rid="scirp.73461-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref6">6</xref>] . The Global Registry of Acute Coronary Events (GRACE) Registry found that cardiac arrest was an independent prognostic factor for in-hospital mortality [<xref ref-type="bibr" rid="scirp.73461-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref7">7</xref>] . Despite advancements in resuscitation guidelines and techniques, survival rates remain low for both OHCA (9.5%) and IHCA (23.9%) [<xref ref-type="bibr" rid="scirp.73461-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref9">9</xref>] .<sub> </sub></p><p>Coronary artery disease (CAD) plays a major role in acute coronary syndrome (ACS), and is the most important cause of OHCA [<xref ref-type="bibr" rid="scirp.73461-ref10">10</xref>] . Clinical and pathological analysis suggest that CAD, cardiac dysrhythmia, cardiomyopathy, or hypertensive heart disease increase the risk of ACS [<xref ref-type="bibr" rid="scirp.73461-ref11">11</xref>] . Risk factors such as smoking, elevated lipids, inactivity, diabetes mellitus, and obesity also contribute to CAD [<xref ref-type="bibr" rid="scirp.73461-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref13">13</xref>] .</p><p>The 2013 American College of Cardiology Foundation and American Heart Association (ACCF/AHA) guidelines recommend immediate angiography and percutaneous coronary intervention (PCI) in resuscitated OHCA patients whose initial electrocardiogram (ECG) show ST-segment elevation myocardial infarction (STEMI) [<xref ref-type="bibr" rid="scirp.73461-ref14">14</xref>] . There is increasing evidence that PCI should be considered in all OHCA patients for whom a cardiac etiology cannot be clinically excluded, regardless of electrocardiogram (ECG) findings. Dumas et al. studied 435 patients with return of spontaneous circulation (ROSC) and found at least one significant coronary artery lesion in nearly all patients with ST-elevation [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] . Furthermore, coronary artery lesions were also present in over 50% of patients without ST-segment elevation [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] . Successful PCI was associated with a significant survival advantage for both ST-elevation (51% vs. 31%, p &lt; 0.001) and the non-ST elevation patients (47% vs. 31%, p &lt; 0.001), compared to patients not receiving PCI [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] . Given the high incidence of ACS in patients with OHCA, guidelines recommend immediate angiography in all resuscitated OHCA patients suspected of ACS regardless of ECG finding [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref8">8</xref>] . Despite these current recommendations, the real world use of PCI in this setting remains low.</p><p>Currently there are few cohort studies examining the utilization of PCI after OHCA and its effect on survival. The Kunadian et al. study and the Dumas et al. studies are both retrospective studies examining the utilization of PCI for OHCA in United Kingdom and Parisian population respectively [<xref ref-type="bibr" rid="scirp.73461-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.73461-ref3">3</xref>] . The current study examined a large cohort of OHCA patients from the Nationwide Inpatient Service (NIS) database to compare demographic and clinical differences between those who received PCI and those who did not, and the impact of PCI on survival.</p></sec><sec id="s2"><title>2. Methods</title><p>Data for the current study was extracted from the Nationwide Inpatient Sample (NIS) database, a part of the Healthcare Cost and Utilization Project (HCUP) of the Agency for Healthcare Research and Quality (AHRQ) database, between 2001 and 2011. The NIS is the largest all-payer inpatient care database in the US, containing data on more than eight million hospital stays from over 1000 hospitals. All patients identified to have had OHCA were identified and exported to IBM SPSS<sup>&#174;</sup>v20.2. ICD-0-CM code 427.5 was utilized. Demographic and clinical data extracted included age, gender, race, admission source, primary expected payer, and preexisting comorbidities. Endpoints examined included length of stay (LOS), and overall inpatient mortality. Patients who received primary percutaneous coronary intervention (PCI), as a primary procedure, was identified using ICD-9 code 00.66, 00.40 - 00.48. Data was compared across the two subgroups: patients who received primary percutaneous coronary intervention and those who did not. Categorical variables were compared using the Chi-square test, and continuous variables were compared using student t-test and analysis of variance (ANOVA). Multivariate analysis using the “backward Wald” method was performed to calculate odds ratios (OR) and determine independent factors which increased the risk of mortality following cardiac arrest. All reported data was included in the calculations and analysis, including frequencies and multivariate analysis. The total number of patients included in the analysis for each variable has been reported in the corresponding tables. Statistical significance was accepted at the level of p &lt; 0.05.</p></sec><sec id="s3"><title>3. Results</title><p>There were 247,456 patients who had OHCA reported in the NIS database over the 11-year period (2001-2011) (<xref ref-type="table" rid="table1">Table 1</xref>). There were 11,111 (4.5%) patients who received PCI and 236,345 (95.5%) patients who did not receive PCI.</p><sec id="s3_1"><title>3.1. Demographic Characteristics</title><p>The mean age for all OHCA patients was 66 &#177; 19 years (<xref ref-type="table" rid="table1">Table 1</xref>). Patients who received PCI were younger than those who did not receive PCI (mean age of 64 &#177; 13 years vs. 66 &#177; 19 years). A greater proportion of patients who received PCI were between the age of 50 and 64 years old (38.0% vs. 23.4%), while a lower percentage of patients receiving PCI were &lt;50 years (14.1% vs. 16.6%) and &gt;65 years (47.9% vs. 60.0%), p &lt; 0.001. The majority of patients who developed OHCA were males (54.2%) with a male to female (M:F) ratio of 1.18:1. More males underwent PCI than females (66.5% vs. 33.5%, p &lt; 0.001). Among those who received PCI, 79.6% (N = 6931) were Caucasian, 7.7% (N = 675) were African American, 6.5% (N = 563) were Hispanic, and 6.2% (N = 541) were designated as “other”. A significantly greater proportion of patients who received PCI were Caucasians (79.6% vs. 68.3%) while fewer patients who received PCI were African Americans (7.7% vs. 16.3%) and Hispanics (6.5% vs. 9.2%), p &lt; 0.001.</p><p>Overall, most patients who developed OHCA were admitted from the emergency room (ER) (67.5%), or transferred from home (21.9%) or another hospital (7.7%). A smaller proportion of patients who received PCI were admitted from the ER (62.7% vs. 67.6%, p &lt; 0.001), and a greater percentage of them were admitted through another</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic profile 247,456 patients with out of hospital cardiac arrest from the nationwide inpatient sample database (2001 to 2011)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Overall</th><th align="center" valign="middle" >PCI</th><th align="center" valign="middle" >No PCI</th></tr></thead><tr><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >247,456</td><td align="center" valign="middle" >11,111 (4.5%)</td><td align="center" valign="middle" >236,345 (95.5%)</td></tr><tr><td align="center" valign="middle" >Age, (Mean &#177; SD)</td><td align="center" valign="middle" >66 &#177; 19</td><td align="center" valign="middle" >64 &#177; 13</td><td align="center" valign="middle" >66 &#177; 19</td></tr><tr><td align="center" valign="middle" >Under 50</td><td align="center" valign="middle" >40,813 (16.5%)</td><td align="center" valign="middle" >1567 (14.1%)</td><td align="center" valign="middle" >39,246 (16.6%)</td></tr><tr><td align="center" valign="middle" >Age 50 to 64</td><td align="center" valign="middle" >59,426 (24.0%)</td><td align="center" valign="middle" >4220 (38.0%)</td><td align="center" valign="middle" >55,206 (23.4%)</td></tr><tr><td align="center" valign="middle" >Age 65 and older</td><td align="center" valign="middle" >147,144 (59.5%)</td><td align="center" valign="middle" >5323 (47.9%)</td><td align="center" valign="middle" >141,821 (60.0%)</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >134,100 (54.2%)</td><td align="center" valign="middle" >7391 (66.5%)</td><td align="center" valign="middle" >126,709 (53.6%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >113,311 (45.8%)</td><td align="center" valign="middle" >3719 (33.5%)</td><td align="center" valign="middle" >109,592 (46.4%)</td></tr><tr><td align="center" valign="middle" >Race, N (%)</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >Caucasian</td><td align="center" valign="middle" >133,492 (68.8%)</td><td align="center" valign="middle" >6931 (79.6%)</td><td align="center" valign="middle" >126,561 (68.3%)</td></tr><tr><td align="center" valign="middle" >African American</td><td align="center" valign="middle" >30,948 (16.0%)</td><td align="center" valign="middle" >675 (7.7%)</td><td align="center" valign="middle" >30,273 (16.3%)</td></tr><tr><td align="center" valign="middle" >Hispanic</td><td align="center" valign="middle" >17,639 (9.1%)</td><td align="center" valign="middle" >563 (6.5%)</td><td align="center" valign="middle" >17,076 (9.2%)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >11,908 (6.1%)</td><td align="center" valign="middle" >541 (6.2%)</td><td align="center" valign="middle" >11,367 (6.1%)</td></tr><tr><td align="center" valign="middle" >Admission source, N (%)</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >ER</td><td align="center" valign="middle" >122,290 (67.5%)</td><td align="center" valign="middle" >3559 (62.7%)</td><td align="center" valign="middle" >118,731 (67.6%)</td></tr><tr><td align="center" valign="middle" >Another hospital source</td><td align="center" valign="middle" >14,009 (7.7%)</td><td align="center" valign="middle" >799 (14.1%)</td><td align="center" valign="middle" >13,210 (7.5%)</td></tr><tr><td align="center" valign="middle" >Other health facility, including long-term care</td><td align="center" valign="middle" >5079 (2.8%)</td><td align="center" valign="middle" >108 (1.9%)</td><td align="center" valign="middle" >4971 (2.8%)</td></tr><tr><td align="center" valign="middle" >Court/Law enforcement</td><td align="center" valign="middle" >61 (0.0%)</td><td align="center" valign="middle" >1 (0.0%)</td><td align="center" valign="middle" >60 (0.0%)</td></tr><tr><td align="center" valign="middle" >Routine admission from home</td><td align="center" valign="middle" >39,750 (21.9%)</td><td align="center" valign="middle" >1209 (21.3%)</td><td align="center" valign="middle" >38,541 (22.0%)</td></tr><tr><td align="center" valign="middle" >Primary expected payer, N (%)</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >Medicare</td><td align="center" valign="middle" >152,445 (61.7%)</td><td align="center" valign="middle" >5259 (47.4%)</td><td align="center" valign="middle" >147,186 (62.4%)</td></tr><tr><td align="center" valign="middle" >Medicaid</td><td align="center" valign="middle" >24,589 (10.0%)</td><td align="center" valign="middle" >710 (6.4%)</td><td align="center" valign="middle" >23,879 (10.1%)</td></tr><tr><td align="center" valign="middle" >Private insurance</td><td align="center" valign="middle" >50,978 (20.6%)</td><td align="center" valign="middle" >3933 (35.5%)</td><td align="center" valign="middle" >47,045 (19.9%)</td></tr><tr><td align="center" valign="middle" >Self-pay</td><td align="center" valign="middle" >11,518 (4.7%)</td><td align="center" valign="middle" >761 (6.9%)</td><td align="center" valign="middle" >10,757 (4.6%)</td></tr><tr><td align="center" valign="middle" >No charge</td><td align="center" valign="middle" >1027 (0.4%)</td><td align="center" valign="middle" >65 (0.6%)</td><td align="center" valign="middle" >962 (0.4%)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >6490 (2.6%)</td><td align="center" valign="middle" >363 (3.3%)</td><td align="center" valign="middle" >6127 (2.6%)</td></tr></tbody></table></table-wrap><p>Abbreviations: ER = emergency room; N = number; PCI = primary percutaneous coronary intervention; SD = standard deviation.</p><p>hospital source (14.1% vs. 7.5%, p &lt; 0.001).</p><p>The majority of patients who developed cardiac arrest had Medicare insurance (61.7%), followed by private insurance (20.6%), Medicaid (10.0%), self-pay (4.7%), other (2.6%), or no charge (0.4%). A significantly greater proportion of patients who received PCI had private insurance (35.5% vs. 19.9%, p &lt; 0.001), compared to those who did not receive PCI.</p></sec><sec id="s3_2"><title>3.2. Clinical Characteristics</title><p>A smaller percentage of patients undergoing PCI after cardiac arrest had preexisting comorbidities (<xref ref-type="table" rid="table2">Table 2</xref>). Specifically, fewer PCI patients had a history of alcohol abuse (4.4% vs. 4.9%), deficiency anemia (14.1% vs. 15.6%), congestive heart failure (4.1% vs. 18.4%), coagulopathy (7.1% vs. 10.2%), depression (3.9% vs. 4.5%), diabetes with chronic complications (3.9% vs. 5.9%), hypothyroidism (5.7% vs. 7.1%), liver disease (1.0% vs. 3.1%), fluid and electrolyte disorder (32.7% vs. 42.0%), other neurological disorder (7.1% vs 13.9%), renal failure (13.1% vs 19.1%), and valvular disease (1.0% vs 4.8%). In contrast, a greater percentage of PCI patients suffered from uncomplicated diabetes mellitus (20.8% vs. 19.7%), hypertension (52.1% vs. 43.3%), obesity (9.0% vs. 5.9%), and peripheral vascular disease (8.8% vs. 7.5%).</p></sec><sec id="s3_3"><title>3.3. Clinical Outcomes</title><p>Patients who received PCI had an equivalent LOS to those who did not (9 &#177; 10 days vs. 9 &#177; 15 days) (<xref ref-type="table" rid="table3">Table 3</xref>). The overall in-hospital mortality rate for patients who developed cardiac arrest was 63.7%, however, it was significantly lower in PCI patients compared to those not receiving PCI (28.3% vs. 65.4%, p &lt; 0.001).</p></sec><sec id="s3_4"><title>3.4. Multivariate Analysis</title><p>Multivariate analysis identified age &gt; 65 (OR 1.6), female gender (OR 1.1), African</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Clinical profile 247,456 patients with out of hospital cardiac arrest from the nationwide inpatient sample database (2001 to 2011)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Overall</th><th align="center" valign="middle" >PCI</th><th align="center" valign="middle" >No PCI</th></tr></thead><tr><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >247,456</td><td align="center" valign="middle" >11,111 (4.5%)</td><td align="center" valign="middle" >236,345 (95.5%)</td></tr><tr><td align="center" valign="middle" >Comorbidity, N (%)</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >Alcohol abuse</td><td align="center" valign="middle" >11,847 (4.8%)</td><td align="center" valign="middle" >488 (4.4%)</td><td align="center" valign="middle" >11,359 (4.9%)</td></tr><tr><td align="center" valign="middle" >Deficiency anemias</td><td align="center" valign="middle" >38,052 (15.5%)</td><td align="center" valign="middle" >1567 (14.1%)</td><td align="center" valign="middle" >36,485 (15.6%)</td></tr><tr><td align="center" valign="middle" >Congestive Heart Failure</td><td align="center" valign="middle" >43,448 (17.7%)</td><td align="center" valign="middle" >460 (4.1%)</td><td align="center" valign="middle" >42,988 (18.4%)</td></tr><tr><td align="center" valign="middle" >Chronic Pulmonary Disease</td><td align="center" valign="middle" >56,465 (23.0%0)</td><td align="center" valign="middle" >2020 (18.2%)</td><td align="center" valign="middle" >54,445 (23.3%)</td></tr><tr><td align="center" valign="middle" >Coagulopathy</td><td align="center" valign="middle" >24,750 (10.1%)</td><td align="center" valign="middle" >788 (7.1%)</td><td align="center" valign="middle" >23,962 (10.2%)</td></tr><tr><td align="center" valign="middle" >Depression</td><td align="center" valign="middle" >10,903 (4.5%)</td><td align="center" valign="middle" >434 (3.9%)</td><td align="center" valign="middle" >10,469 (4.5%)</td></tr><tr><td align="center" valign="middle" >Diabetes, uncomplicated</td><td align="center" valign="middle" >48,320 (19.7%)</td><td align="center" valign="middle" >2311 (20.8%)</td><td align="center" valign="middle" >46,009 (19.7%)</td></tr><tr><td align="center" valign="middle" >Diabetes, with chronic complications</td><td align="center" valign="middle" >14,249 (5.8%)</td><td align="center" valign="middle" >433 (3.9%)</td><td align="center" valign="middle" >13,816 (5.9%)</td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >107,159 (43.7%)</td><td align="center" valign="middle" >5789 (52.1%)</td><td align="center" valign="middle" >101,370 (43.3%)</td></tr><tr><td align="center" valign="middle" >Hypothyroidism</td><td align="center" valign="middle" >17,252 (7.0%)</td><td align="center" valign="middle" >634 (5.7%)</td><td align="center" valign="middle" >16,618 (7.1%)</td></tr><tr><td align="center" valign="middle" >Liver Disease</td><td align="center" valign="middle" >7,469 (3.0%)</td><td align="center" valign="middle" >113 (1.0%)</td><td align="center" valign="middle" >7356 (3.1%)</td></tr><tr><td align="center" valign="middle" >Fluid and electrolyte disorder</td><td align="center" valign="middle" >101,967 (41.6%)</td><td align="center" valign="middle" >3631 (32.7%)</td><td align="center" valign="middle" >98,336 (42.0%)</td></tr><tr><td align="center" valign="middle" >Other neurological disorder</td><td align="center" valign="middle" >33,302 (13.6%)</td><td align="center" valign="middle" >788 (7.1%)</td><td align="center" valign="middle" >32,514 (13.9%)</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >14,746 (6.0%)</td><td align="center" valign="middle" >1004 (9.0%)</td><td align="center" valign="middle" >13,742 (5.9%)</td></tr><tr><td align="center" valign="middle" >Peripheral Vascular Disease</td><td align="center" valign="middle" >18,469 (7.5%)</td><td align="center" valign="middle" >977 (8.8%)</td><td align="center" valign="middle" >17,492 (7.5%)</td></tr><tr><td align="center" valign="middle" >Renal failure</td><td align="center" valign="middle" >46,179 (18.8%)</td><td align="center" valign="middle" >1457 (13.1%)</td><td align="center" valign="middle" >44,722 (19.1%)</td></tr><tr><td align="center" valign="middle" >Valvular Disease</td><td align="center" valign="middle" >11,362 (4.6%)</td><td align="center" valign="middle" >109 (1.0%)</td><td align="center" valign="middle" >11,253 (4.8%)</td></tr></tbody></table></table-wrap><p>Abbreviations: N = number; PCI = primary percutaneous coronary intervention.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Clinical outcomes profile 247,456 patients with out of hospital cardiac arrest from the nationwide inpatient sample database (2001 to 2011)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Overall</th><th align="center" valign="middle" >PCI</th><th align="center" valign="middle" >No PCI</th></tr></thead><tr><td align="center" valign="middle" >N (%)</td><td align="center" valign="middle" >247,456</td><td align="center" valign="middle" >11,111 (4.5%)</td><td align="center" valign="middle" >236,345 (95.5%)</td></tr><tr><td align="center" valign="middle" >Length of stay (mean days &#177; SD)</td><td align="center" valign="middle" >9 &#177; 15</td><td align="center" valign="middle" >9 &#177; 10</td><td align="center" valign="middle" >9 &#177; 15</td></tr><tr><td align="center" valign="middle" >Outcome of hospitalization, N (%)</td><td align="center" valign="middle"  colspan="3"  ></td></tr><tr><td align="center" valign="middle" >Alive</td><td align="center" valign="middle" >89,749 (36.3%)</td><td align="center" valign="middle" >7958 (71.7%)</td><td align="center" valign="middle" >81,791 (34.6%)</td></tr><tr><td align="center" valign="middle" >Dead</td><td align="center" valign="middle" >157,429 (63.7%)</td><td align="center" valign="middle" >3146 (28.3%)</td><td align="center" valign="middle" >154,283 (65.4%)</td></tr></tbody></table></table-wrap><p>Abbreviations: N = number; PCI = primary percutaneous coronary intervention; SD = standard deviation.</p><p>American (OR 1.2), advanced cancer (OR 2.3), and liver dysfunction (OR 1.8) as independent risk factors for mortality, while PCI (OR 0.2) conferred a survival advantage in patients with cardiac arrest, p &lt; 0.001. Insurance status was not found to be independently associated with mortality, p &gt; 0.05.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Coronary artery disease is a leading cause of morbidity and mortality in both men and women in industrialized countries [<xref ref-type="bibr" rid="scirp.73461-ref15">15</xref>] . In the US, there are over 350,000 cases of OHCA and over 200,000 cases of IHCA each year [<xref ref-type="bibr" rid="scirp.73461-ref5">5</xref>] . According to the American College of Cardiology Foundation/American Heart Association (ACCF/AHA) guidelines, PCI is a Class I-A recommendation following cardiac arrest secondary to ischemic-mediated events, including acute coronary syndrome (ACS) [<xref ref-type="bibr" rid="scirp.73461-ref16">16</xref>] . CAD has been the leading cause of OHCA, and the AHA 2010 Cardiopulmonary Resuscitation and Emergency Cardiovascular Care guidelines recommend emergent activation of coronary reperfusion protocols when there is high suspicion of acute myocardial infarction, regardless of EKG findings [<xref ref-type="bibr" rid="scirp.73461-ref17">17</xref>] . The two absolute contraindications to PCI are single vessel disease without proximal left anterior descending (LAD) artery involvement and when there are no anatomical or physiological indications for revascularization [<xref ref-type="bibr" rid="scirp.73461-ref16">16</xref>] . This study showed that overall mortality was significantly lower in OHCA patients who undergo PCI (28.3% vs. 65.4%, p &lt; 0.001). Despite guideline recommendations, improved survival, and few contraindications to PCI use, there continues to be disparities in race, sex, age, and insurance coverage which limit access to this life saving therapy.</p><p>In the current study, 79.6% of PCI patients were Caucasian, while only 7.7% were African American and 6.5% were Hispanic. The discrepancy between ethnicities for healthcare access has been longstanding and is well documented. Bradley et al. conducted a retrospective observational study of over 37,000 patients from 434 unique hospitals, concluding that Caucasians accounted for 85.3% of those who received PCI, while 5.0% were African Americans, and 3.5% were Hispanic [<xref ref-type="bibr" rid="scirp.73461-ref18">18</xref>] . Not only were African Americans and Hispanics significantly less likely to receive PCI compared to Caucasians, but the time in which they received treatment was also significantly increased. The mean door-to-balloon (D2B) time across all hospitals was 122.3 minutes for African Americans, 114.8 minutes for Hispanics, and 103.4 minutes for Caucasians [<xref ref-type="bibr" rid="scirp.73461-ref18">18</xref>] . The current recommendations are that PCI should be performed in OHCA patients within 90 minutes of first medical contact at a hospital with PCI capability and within 120 minutes at a hospital without PCI capability [<xref ref-type="bibr" rid="scirp.73461-ref16">16</xref>] . After adjusting the model to take into account age, sex, insurance providers, hospital characteristics, and time of presentation, the model was attenuated, but D2B times still remained 8.7 minutes longer (95% CI, 6.7 - 10.8) for African Americans and 3.7 minutes longer (95% CI, 1.3 - 6.1) for Hispanics when compared to Caucasians [<xref ref-type="bibr" rid="scirp.73461-ref18">18</xref>] .</p><p>In addition to race, gender disparities are also present in access to PCI after OHCA. This study showed that 66.5% of the patients who received PCI were male while only 33.5% were female. Males are more likely than females to have an OHCA (54.2% vs. 45.8%). Although males had a greater incidence of OHCA, there is a large discrepancy between the percentage of females having an OHCA and the percentage receiving PCI. Jackson et al. studied over 8000 similar patients from 34 hospitals and reported that only 28.9% of the cohort receiving PCI was female. There was no significant difference in the study between men and women having a cardiac arrest (7.3% vs. 7.8%, p = 0.41). Further, the mean D2B time was significantly longer for females compared to males (94 vs. 85 minutes, p &lt; 0.001) [<xref ref-type="bibr" rid="scirp.73461-ref19">19</xref>] . The authors found that women tend to be undertreated and are less likely to receive aspirin before PCI, even in the presence of multiple comorbidities [<xref ref-type="bibr" rid="scirp.73461-ref19">19</xref>] . Similarly, Jneid et al. studied over 78,000 similar patients in 420 US hospitals, in which 38% of the cohort were women [<xref ref-type="bibr" rid="scirp.73461-ref20">20</xref>] . Compared to men, women were less likely to receive PCI (36.1% vs. 52.3%, p &lt; 0.0001) and had prolonged D2B time (103 vs. 95 minutes, p &lt; 0.0001) [<xref ref-type="bibr" rid="scirp.73461-ref20">20</xref>] .</p><p>The current study documented that younger patients (64 &#177; 13 vs. 66 &#177; 19 years, p &lt; 0.001) were more likely to receive PCI compared to the elderly, patients aged 65 and older. Patients between 50 - 64 years old received PCI more often than patients &gt;65. A multicenter prospective observational study of over 11,000 patients conducted by Mylotte et al. demonstrated that the severity of coronary artery disease varied significantly by age. The mean age for patients presenting with single vessel disease was 56.1 &#177; 13.6 years compared to patients presenting with multi-vessel disease was 67.2 &#177; 12.1 years [<xref ref-type="bibr" rid="scirp.73461-ref21">21</xref>] . Community studies have also shown that elderly patients are less likely to undergo revascularization due to decreased efficacy and increased complications [<xref ref-type="bibr" rid="scirp.73461-ref22">22</xref>] . Furthermore, there has been a paucity of evidence to guide therapy in the elderly population, since most clinical trials excluded this advanced age group [<xref ref-type="bibr" rid="scirp.73461-ref22">22</xref>] .</p><p>This current study clearly demonstrates that access to PCI may be biased depending on patient insurance status, though this is difficult to determine precisely since the mean age of the patient cohort is over the Medicare qualifying age. The majority of patients who received PCI had either Medicare (47.4%) or private insurance (35.5%), whereas only 6.4% of Medicaid and 6.9% had no insurance or were self-paying. Bradley et al. demonstrated the same discrepancies in provider coverage, noting that PCI was performed more often in patients with either Medicare (18.5%) or private insurance (45.9%) compared to those with Medicaid (2%) or self-paying (7.6%) [<xref ref-type="bibr" rid="scirp.73461-ref18">18</xref>] . Treatment related to insurance provider is simple to correlate; however, the association between the two may mask a more important aspect of healthcare disparity―socioeconomic status. Chang et al. conducted a study in Canada where all residents are fully insured, and stratified patients into 4 socioeconomic groups based on median income for the neighborhood they resided. The study showed that despite having the same insurance coverage, the use of PCI varied significantly between the lowest and highest socioeconomic groups (12.4% vs 21.8%, p &lt; 0.1) [<xref ref-type="bibr" rid="scirp.73461-ref23">23</xref>] .</p><p>Trends from this study show those patients &lt; 65 years old, Caucasians, males, and those with Medicare or private insurance are the most likely to receive PCI. An explanation for these trends may be elucidated from center specific variations. Hypotheses, such as limited access to PCI-capable facilities, delays in treatment due to atypical disease presentations, lack of treatment due to clinical judgement, and delays in seeking treatment due to high out-of-pocket cost have been considered as possible explanations for these disparities. For example, African Americans and Hispanics present more frequently to community hospitals requiring transfer to a PCI-capable facility, thus increasing D2B time. Hsia et al. studied the distance between zip codes and PCI capable facilities, concluding untimely access (≥60 minutes) from a zip code to a PCI capable facility was more common in low-income communities (OR 3.00; 95% CI, 2.39 - 3.77) and Hispanic communities (OR 2.55; 95% CI, 1.86 - 3.49) [<xref ref-type="bibr" rid="scirp.73461-ref24">24</xref>] . Furthermore, ACS typically presents as NSTEMI and unstable angina in females compared to STEMI in males which can account for differences in immediate PCI use [<xref ref-type="bibr" rid="scirp.73461-ref15">15</xref>] . Despite these guidelines, placement of PCI is primarily based on clinical judgement, and in some scenarios the risks of the procedure may outweigh the benefits when evaluating overall health and comorbidities in the elderly. Finally, data has emerged that patients with Medicaid and self-pay insurance present later to the emergency room than patients with Medicare, delaying treatment and increasing the risk of morbidity and mortality [<xref ref-type="bibr" rid="scirp.73461-ref25">25</xref>] .</p><p>The limitations of the current study include those inherent to large administrative databases, such as errors in coding and sampling. Immediate post-operative complications were apparent in the NIS database; however, readmissions for a complication of undergoing PCI were not identifiable, likely resulting in an underestimation of the actual complication rates. Of note however, this limitation would apply to all groups, and should not have altered the overall findings of this report. This limitation to in-hospital information without follow-up data could lead to long-term complications and mortality after hospital discharge not being captured in this study. Another potential limitation of this study design is the presence of comorbidities, which were based on the presence of administrative codes within the NIS database and were not clinically confirmed. Participation in the NIS database is voluntary, and only selected centers participate in the registry. Further, timing of treatment relative to the qualifying event and the management or medications given to the patients is unknown. Despite these limitations however, the NIS includes data from 1000 different hospitals in the US and more than 700,000 patient records were obtained for this study, and is likely a diverse enough sample to be able to generalize across most US hospitals in terms of delivery of care.</p></sec><sec id="s5"><title>5. Conclusion</title><p>OHCA is associated with high mortality and morbidity. Specialized cardiac arrest centers and updated post-OHCA management protocols allow for better risk stratification and have led to significantly reduced mortality in patients suffering CA. PCI provides significant survival advantage, and is performed most often in Caucasian males age &gt;50 with private insurance, and less often in AA and Hispanics. Significant cultural, ethnic and socioeconomic barriers to PCI have been discussed in this study which warrants additional studies and resources to assure equity in access to this potentially life-saving therapy.</p></sec><sec id="s6"><title>Cite this paper</title><p>Lau, C.S.M., Pourriahi, M., Ward, A., Kulkarni, K.P., Mahen- draraj, K. and Chamberlain, R.S. (2017) Per- cutaneous Coronary Intervention Reduces Mortality in Out-of-Hospital Cardiac Arrest after Acute Coronary Syndrome: An Outcomes-Based Study from the Nationwide Inpatient Sample Database. 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