Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Alcohol and Drug Use Disorders among Patients with Myocardial Infarction: Associations with Disparities in Care and Mortality

  • Cynthia A. Beck ,

    Affiliations Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada

  • Danielle A. Southern,

    Affiliation Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada

  • Richard Saitz,

    Affiliations Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America, Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America

  • Merril L. Knudtson,

    Affiliation Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada

  • William A. Ghali

    Affiliations Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada, Institute for Public Health (IPH), University of Calgary, Calgary, Alberta, Canada

Alcohol and Drug Use Disorders among Patients with Myocardial Infarction: Associations with Disparities in Care and Mortality

  • Cynthia A. Beck, 
  • Danielle A. Southern, 
  • Richard Saitz, 
  • Merril L. Knudtson, 
  • William A. Ghali



Because alcohol and drug use disorders (SUDs) can influence quality of care, we compared patients with and without SUDs on frequency of catheterization, revascularization, and in-hospital mortality after acute myocardial infarction (AMI).


This study employed hospital discharge data identifying all adult AMI admissions (ICD-9-CM code 410) between April 1996 and December 2001. Patients were classified as having an SUD if they had alcohol and/or drug (not nicotine) abuse or dependence using a validated ICD-9-CM coding definition. Catheterization and revascularization data were obtained by linkage with a clinically-detailed cardiac registry. Analyses (controlling for comorbidities and disease severity) compared patients with and without SUDs for post-MI catheterization, revascularization, and in-hospital mortality.


Of 7,876 AMI unique patient admissions, 2.6% had an SUD. In adjusted analyses mortality was significantly higher among those with an SUD (odds ratio (OR) 2.02; 95%CI: 1.10–3.69), while there was a trend toward lower catheterization rates among those with an SUD (OR 0.75; 95%CI: 0.55–1.01). Among the subset of AMI admissions who underwent catheterization, the adjusted hazard ratio for one-year revascularization was 0.85 (95%CI: 0.65–1.11) with an SUD compared to without.


Alcohol and drug use disorders are associated with significantly higher in-hospital mortality following AMI in adults of all ages, and may also be associated with decreased access to catheterization and revascularization. This higher mortality in the face of poorer access to procedures suggests that these individuals may be under-treated following AMI. Targeted efforts are required to explore the interplay of patient and provider factors that underlie this finding.


Alcohol and other drug use disorders (ie. substance use disorders, SUDs) can influence outcomes of other health conditions through a variety of mechanisms, including suboptimal quality of care. It is well known that physicians vary in their decision-making regarding the appropriateness of procedures [1][3]. Both clinical and non-clinical factors seem to enter into these decisions, and certain sociodemographic and insurance groups have been shown to receive fewer cardiovascular procedures than would be expected given their clinical condition [4][9]. Patient preferences and behaviors may also play a role [10]. Moreover, individuals with SUDs have been shown to have decreased access to medical and preventive health care [11][13].

There have been several studies that have shown the superiority of percutaneous coronary intervention (PCI) as a treatment for ST-elevation myocardial infarction (STEMI) when compared with thrombolytic therapy in terms of reducing mortality rate and recurrence of myocardial infarction (MI) [14][16]. Prior studies have reported discrepant results on the association between substance use disorders and access to these cardiovascular procedures following acute myocardial infarct (AMI) [11]. Druss and colleagues showed that those with SUDs aged 65 and older in acute care non-governmental hospitals in the United States were less likely than those with neither mental nor substance use disorder to receive cardiac catheterization after AMI [17]. Young reported data from a large all-payer American database stratified by age, indicating that patients with substance use disorders both younger and older than 65 years have lower rates of cardiac procedures and higher rates of in-hospital mortality compared with those with neither mental nor substance use disorders [18]. However, this study did not adjust for admission characteristics or left ventricular function. Most recently, Jones and colleagues published results from an analysis of administrative data from a large commercially insured sample of all ages, adjusting for comorbidities [19]. They obtained an unexpected result: those with a substance use disorder were more likely to receive percutaneous coronary intervention (PCI) compared to those with neither mental nor substance use disorders. This finding did not carry over to coronary artery bypass grafting (CABG). Li and colleagues looked at a related issue and demonstrated that in New York hospitals, individuals with substance use plus mental disorders but not substance use disorders alone were more likely to have their CABG surgery performed by low quality surgeons [20].

As such, it is as yet unclear whether having a known substance use disorder affects receipt of cardiovascular procedures, and the only study for which analyses were adjusted for clinical characteristics such as ejection fraction used a sample over 65 years of age [17]. The availability of both hospital discharge data and the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH:, a linkable population-based registry of cardiovascular procedures, presented an opportunity to study this issue in Alberta, Canada [21]. These Canadian data had the additional advantage that any disparities detected in the analysis would be unlikely to be caused by lack of health insurance among patients with SUDs. To our knowledge there are no published Canadian studies to date on this issue. A further advantage of our data was that they contained information on patients' discharge status, allowing examination of the effect of discharge against medical advice (AMA) on the results. Discharge AMA has been shown to affect relationships between service utilization and substance use, and many studies have failed to take this issue into account [22], [23].

Our objective was to study AMI patients in APPROACH to compare the in-hospital mortality and the proportions receiving catheterization and revascularization, between those with and without a known alcohol or drug use disorder.


Data Sources, Subjects, and Variables

Two data sources were used for this analysis (see Figure 1). First, we defined an MI Cohort using hospital discharge data from the Calgary hospitals that perform cardiac catheterization. All discharges between April 1, 1996 and December 31, 2001 for initial AMI (ICD-9-CM code 410.x1) were identified, and a patient's data were included in the MI Cohort if the patient was 18 years of age or older and lived in the Calgary Health Region. This earlier time period was studied because administrative data were coded in ICD-9-CM at that time and this verification of the International Classification of Diseases was needed for defining substance use disorders using a validated coding method (see details in next section). Only the first AMI admission between the specified dates was included for each patient. The MI Cohort data were used to define a subgroup with alcohol and/or drug use disorders (see below for details) as well as to provide information on in-hospital death, and on age, sex, and baseline patient comorbidities that could affect mortality and receipt of cardiovascular procedures. Calgary Health Region discharge data contain up to 16 ICD-9-CM diagnostic codes. When patients left hospital against medical advice, this was also captured by a code in the MI Cohort data.

Information on catheterization and revascularization procedures was obtained from APPROACH, a clinical data collection initiative capturing prospective information on all patients undergoing cardiac catheterization in Alberta, Canada since 1995 [21]. APPROACH contains detailed patient information including age, sex, ejection fraction, and the presence or absence of previous myocardial infarction (MI), congestive heart failure, diabetes, cerebrovascular disease, peripheral vascular disease, chronic pulmonary disease, elevated creatinine, dialysis, hyperlipidemia, hypertension, liver or gastrointestinal disease, or malignancy. It contains both historical and prospective information on therapeutic interventions such as thrombolytic therapy and revascularization by CABG or PCI. Coronary anatomy and procedural details are also recorded. Follow-up mortality is ascertained through semi-annual linkage to data from the Alberta Bureau of Vital Statistics. It has been shown that such detailed information is important in modelling revascularization rates, which cannot be adequately explained by baseline data available in discharge data alone [24].

To investigate revascularizations related to hospitalizations for initial AMI, the discharge data for all initial AMI admissions were linked to the APPROACH data to create a Catheterization Cohort, using the unique personal health number and the timing of catheterization (see Figure 1). Since we wished to assess revascularizations related to the current AMI, we only included linkages to catheterizations that occurred during the hospital admission [25].

The Ethics Review Board at the University of Calgary has approved the APPROACH protocol and the linkage of the APPROACH database with Calgary Health Region discharge data. Only data on patients who signed informed consent were included in the linkage.

Definition of substance use disorders

Studies using administrative data have taken several different approaches to the definition of alcohol and drug use disorders using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. For example, Elixhauser's definitions focus on the psychiatric manifestations of abuse or dependence [26]. On the other hand, studies by both Adams and Saitz broadened the scope of the criteria to include medical sequelae of the substance use (that by definition indicate that the patient had the substance disorder) in the coding algorithms [21], [27]. A third algorithm has been proposed by the Washington Circle, a policy group on performance measurement for substance abuse services ( They have defined a set of ICD-9-CM markers for addictions that is available on their website. This definition focuses on current alcohol or drug abuse, includes physical manifestations of abuse, and excludes substance abuse in remission codes.

Clinicians are more likely to under-report substance use disorders than to over-report them (these disorders are classically unrecognized and under-documented in records). Furthermore, the mechanism by which having a disorder might lead to worse care does not require the disorder be current (e.g. stigma from a past disorder may be relevant). Therefore we decided to use as sensitive a definition as possible, including physical manifestations of abuse such as alcoholic fatty liver. A list of candidate ICD-9-CM diagnostic codes was compiled by combining codes from 1) Drug and alcohol abuse as defined by Elixhauser and colleagues [26], 2) Drug- and alcohol-related diagnoses as defined by Saitz and colleagues [22] and 3) the Washington Circle definition (, augmented by including substance use disorders in remission. This candidate list was then independently reviewed by two internists (RS and WG) and a psychiatrist (CB) to decide whether each ICD-9-CM code should be included in the definition, and to suggest other codes that might have been overlooked. Discrepancies were resolved by consensus.

Table 1 presents the resulting ICD-9-CM coding algorithm used to define substance use disorder (SUD) for the purpose of this analysis. A patient was considered to have an SUD if they had at least one of these codes in the discharge data associated with their AMI admission.

Statistical Analysis

Mortality, catheterization, and revascularization among all AMI admissions.

The MI Cohort data were used to analyze in-hospital mortality and proportions receiving catheterization and revascularization among all patients admitted for initial AMI, regardless whether these individuals' data linked to the APPROACH database. Revascularization was studied as receipt of CABG, PCI, and “any revascularization” (ie. either CABG or PCI). For this analysis the catheterizations and revascularizations were restricted to within a year after the admission for AMI.

First, crude proportions for the SUD and no SUD groups were computed and compared for catheterization, revascularization, and in-hospital mortality using chi-square tests. Next, logistic regression was used to compare these outcomes between SUD groups adjusting for age, sex, and patient comorbidities. For mortality, we adjusted for comorbidities that have been shown by Tu and colleagues [28] to be predictive of mortality following acute MI. For receipt of catheterization and revascularization, we adjusted instead using Elixhauser's comorbidities [26], which are predictive of a more general group of outcomes for adult inpatients, including length of stay and costs as well as in-hospital mortality. To these Elixhauser comorbidities we added smoking, shock, and edema because these are particularly important for outcomes after AMI.

Since age might be expected to modify the effect of SUD on mortality and revascularization and past studies have tended to focus either on younger or older adults but not both, further logistic regression models were constructed to examine this potential interaction.

Revascularization following catheterization.

Receipt of revascularization was examined in the Catheterization Cohort. First, we computed and compared the proportions receiving any revascularization (CABG or PCI) in each of the SUD groups using chi-square tests. Next, we examined time to revascularization using multivariable Cox proportional hazards analyses. Hazard ratios were calculated for revascularization at one year by SUD status, adjusting for age, sex, APPROACH comorbidities and severity of coronary artery disease. The proportional hazards assumption was tested using the method of Schoenfeld residuals. Further Cox models were constructed examining the interaction of age and SUD. Time-to-event curves were computed and plotted using a ‘cumulative incidence competing risks’ analysis, comparing the revascularization rates in the SUD and No SUD groups [29]. We chose this method over the more traditional Kaplan-Meier approach because it does not assume independence of death and revascularization.

Discharge against medical advice.

It has previously been reported that outcomes can be misleading when discharge against medical advice (AMA) is not taken into account in studies of relationships between service utilization and substance use disorders [22], [23]. Therefore, we conducted a sensitivity analysis by excluding those individuals who left AMA, and repeating the analyses described above.

All analyses were conducted using SAS, Version 9.2 (Cary, NC) [30].


Mortality, catheterization, and revascularization among all initial AMI admissions

Data sources and study population.

There were 7,876 first admissions to Calgary Health Region hospitals for AMI between April 1, 1996 and December 31, 2001 (Figure 1). Table 2 presents the characteristics of these MI Cohort patients, of whom 203 (2.6%, 95%CI 2.2–3.0) met criteria for an SUD as defined in the Methods section. Of these, 174 (2.2%) had an alcohol use disorder, 44 (0.6%) had a drug use disorder, and 15 (0.2%) had both. Those with an SUD were more likely to be under age 65, to be male, to smoke, and to have certain related comorbidities (other neurological disorders, chronic pulmonary disease, liver disease, peptic ulcer disease, coagulopathy, fluid and electrolyte disorders, blood loss anemia, depression, and acute renal failure). Patients with SUDs were less likely to have cancer.

Table 2. Characteristics of SUD* and No SUD subgroups of the MI Cohort (N = 7,876).

In-hospital mortality.

The in-hospital mortality for those with a known SUD (18 of 203; 8.9%) in the MI Cohort did not differ significantly (p = 0.344) from those without an SUD (547 of 7,673; 7.1%). However, Table 3 presents a different picture once age, sex, and comorbidities are included as covariates in a logistic regression model of in-hospital mortality as a function of SUD. Those with an SUD had significantly higher odds of in-hospital death than those without an SUD in the multivariable analysis (OR = 2.02, 95%C.I. (1.10, 3.69)).

Table 3. Odds Ratios for in-hospital mortality and catheterization by SUD* status (N = 7,876).


The proportion of those with SUD undergoing catheterization during hospitalization for AMI (107 of 203; 52.7%) did not differ significantly (p = 0.131) compared to the No SUD group (4,451 of 7,673; 58.0%). However, multivariable logistic regression results in Table 3 demonstrate a borderline significant odds ratio of 0.75 (95% CI 0.55–1.01) of catheterization among those with an SUD compared to those without an SUD, once adjusted for age, sex, smoking, comorbidities and shock. Of note, removal of smoking from the model had minimal effect on the results.


The MI Cohort received a total of 3845 revascularizations within 4 years of index hospitalization, including 900 coronary artery bypass grafting (CABG) and 2945 percutaneous coronary intervention (PCI) procedures; some patients received more than one revascularization. Having an SUD did not significantly affect the proportions of either CABG or PCI alone in the MI cohort, possibly because of small numbers receiving each intervention in the SUD group (data not shown). However, when CABG and PCI were combined, there was a near-significant difference (p = .05) in overall receipt of revascularization between the SUD groups, with 39.9% revascularized among those with SUD and 46.9% without SUD.

Interaction of age and SUD status.

Age modified the effect of SUD on in-hospital mortality in a logistic regression model (p = .04); the effect of SUD was much greater in patients under age 65 than in the older group (a shift from an OR of 1.00 (ref) to 3.75 in younger patients than it was for patients over 65 (only a small shift from an OR of 3.51 with no SUD to 3.78)). There was no such effect modification for receipt of catheterization.

Revascularization following catheterization (Analysis using Catheterization Cohort).

During the period used to define the MI Cohort (April 1, 1996 to December 31, 2001), a total of 22,744 cardiac catheterizations were performed in Calgary hospitals and recorded in the APPROACH database. Of these, 6,772 catheterizations were done for an indication of initial hospital presentation with acute MI (ICD-9 code 410.x1). Linkage of the APPROACH database with the MI Cohort data yielded 3,448 records, with catheterization date falling within admission and discharge dates, (Catheterization Cohort) describing patients who underwent cardiac catheterization for an initial AMI indication during an admission for AMI. Out of these individuals, 73 (2.1%, 95% CI 1.7–2.7%) satisfied our criteria for SUD.

Table 4 presents the clinical and demographic characteristics of the 3,448 Catheterization Cohort patients by SUD status. As in the MI Cohort, patients with an SUD were more likely to be under age 65 and to smoke, and they were marginally more likely to have a malignancy or a liver or gastrointestinal disease. By contrast they did not differ from patients without an SUD by sex, comorbidities, or measures of risk based on coronary artery anatomy or ejection fraction.

Table 4. Characteristics SUD* and No SUD subgroups of the Catheterization Cohort (N = 3,448).

The time-to-event curves describing revascularization events as a function of time since catheterization for those with and without an SUD are shown in Figure 2. Within one year of catheterization, (2,717 of 3,375; 81%) of those without an SUD had undergone revascularization, compared with (55 of 73; 76%) with an SUD (p = 0.32). The unadjusted hazard ratio for any revascularization by one year post-MI was 0.91 (95% CI: 0.69 to 1.20) for those with an SUD compared to those without (Table 5). Adjusting for age, sex, severity of coronary artery disease (anatomy and ejection fraction), and comorbidities, the hazard ratio was 0.83 (95% CI: 0.44 to 1.50) (Table 5). The Schoenfeld residual test did not indicate violation of the proportional hazards assumption (p = 0.421).

Figure 2. Time to Revascularization Curves (N = 3,448): Unadjusted (PANEL A) and Adjusted (PANEL B).

Table 5. Hazard Ratios for CABG* and PCI** within one year by SUD (N = 3,448).

Sensitivity analysis excluding patients discharged against medical advice.

The results for receipt of catheterization differed in interpretation when the cohort was restricted to those who did not leave AMA, in that the adjusted odds of catheterization was significantly lower for the SUD group compared to No SUD (OR 0.72, 95% CI 0.53 to 0.97). In the full MI Cohort (including those who left AMA) this odds ratio had only approached significance (OR 0.75, 95% CI 0.55 to 1.01; see Table 3). For the revascularization and mortality endpoints, the results were essentially unchanged when patients who left AMA were excluded from the analysis (data not shown).


Our results suggest that alcohol and drug disorders are associated with a significantly higher odds of in-hospital mortality following AMI, and may be associated with decreased access to catheterization and subsequent revascularization. These results agree with some past reports from the United States, including those of Druss and Young [11], [12], and suggest that the Canadian universal health care environment does not eliminate disparities in access to cardiac procedures after AMI for those with substance use disorders. Moreover, our study extends previous results by clarifying that the association of substance use with access to catheterization is similar in younger and older adults. To our knowledge, our study is the first to examine these issues in adults of all ages taking into account clinical characteristics such as ejection fraction that affect decision making regarding cardiac procedures.

This study further demonstrates the importance of including individuals who leave hospital AMA in analyses of this type. Our catheterization results showed a significant discrepancy in receipt of catheterization post-AMI when the sample was restricted to those who did not leave AMA; this result was no longer significant in the full cohort including those who left AMA. The availability of an external database containing catheterization data allowed us to analyze these individuals' outcomes despite their leaving hospital.

In spite of our broad definition of drug and alcohol disorders, the sensitivity of our measure was probably low, as evidenced by the prevalence of drug or alcohol disorders of only 2.3 per cent. In our study, this misclassification would be expected to produce a conservative result, as several individuals with substance disorders would be included in the non-substance use disorder group. Juergens and colleagues have pointed out a similar lack of sensitivity of physician recorded diagnoses of alcoholism in the coronary care unit, and showed that it can be mitigated by screening [31]. Furthermore, our patient numbers were sufficient to demonstrate a discrepancy in receipt of catheterization post-AMI and provides insight into potential areas for intervention.

Another limitation in our study is that we are unable to distinguish between ST-elevation and non ST-elevation MI. The importance of this limitation is mitigated by the fact that early catheterization has been shown to be of value in both sub-types of MI [32]. We recognize that the data studied is from a time when standard of care may have been different. This was done as we used validated ICD-9-CM definitions for SAD's, and therefore we have confined the analysis to older data. We do not think however that it undermines the internal validity of the comparison between those with substance abuse vs. those without.

The reason for increased mortality in the SUD group may relate partially to lower quality of care, though we cannot be certain based on our data alone. It is also possible that we inadequately adjusted for smoking by relying on ICD-9 codes rather than clinical report in the analysis of the MI cohort. A final caveat is that although we adjusted for major comorbidities and clinical characteristics, it is possible that there are other variables for which we did not adjust that might have influenced the outcome.

The reason for the decreased access to cardiac procedures seen in our data and in that of other groups is as yet unknown. There is known variability unrelated to patient characteristics in ratings of appropriateness of treatment [33]. Whether issues of stigma might enter into the decision-making process regarding cardiac procedures for individuals with substance use disorders is unclear at this point, though there is some literature to suggest that stigma does limit access to other types of medical care for these individuals [34], [35].

In interpreting these results, it is also important to recognize that patients do not always consent to procedures which are offered to them, and that refusal of procedures was not available as a variable in our data. It is possible that individuals with substance use disorders in our sample were more likely to refuse procedures than those without such disorders. This would be consistent with the literature that reports an association of drug and alcohol disorders with leaving hospital against medical advice [22], [36], [37]. Although we had similar results when we excluded individuals who signed out against medical advice, there might have been others who refused a catheterization or revascularization, but were not discharged against medical advice.

In conclusion, we demonstrate that despite a universal health care system, individuals post AMI both under and over the age of 65 with alcohol and drug use disorders have a higher likelihood of in-hospital mortality, and a lower likelihood of receiving cardiac procedures, than those without substance use disorders. Our finding of higher mortality in the face of this poorer access to procedures suggests that individuals with drug and alcohol use disorders might be undertreated following AMI. Targeted efforts are required to explore the interplay of patient and provider factors that underlie this finding so that subsequent interventions can be developed to ultimately enhance the quality of care. Qualitative investigation might be a next step to better define the underlying barriers, beliefs, and processes that are operating.


We gratefully acknowledge the cardiac personnel for their diligence in data collection and entry: Foothills Medical Center; Royal Alexandra Hospital; and the University of Alberta Hospital.

Members of the APPROACH Clinical Steering Committee: Edmonton - Dr. Ross Tsuyuki (chair); Dr. Wayne Tymchak; Dr. Michelle Graham; Dr. Arvind Koshal; Dr. Neil Brass: Calgary - Dr. Micheal Curtis; Dr. William A. Ghali; Dr. Merril L. Knudtson; Dr. Andrew Maitland; Dr. L. Brent Mitchell and Dr. Mouhieddin Traboulsi.

Author Contributions

Conceived and designed the experiments: CAB DAS RS MLK WAG. Performed the experiments: CAB DAS RS MLK WAG. Analyzed the data: DAS. Contributed reagents/materials/analysis tools: CAB DAS WAG. Wrote the paper: CAB DAS RS MLK WAG.


  1. 1. Muir Gray JA (1997) Evidence Based Healthcare. Churchill Livingstone: London.
  2. 2. Brook RH, Kosecoff JB, Park RE, Chassin MR, Winslow CM, et al. (1988) Diagnosis and treatment of coronary disease: Comparison of Doctors' attitudes in the USA and UK. Lancet 1: 750–753.
  3. 3. McGlynn EA, Naylor CD, Anderson GM, Leape LL, Park RE, et al. (1994) Comparison of the Appropriateness of Coronary Angiography and Coronary Artery Bypass Graft Surgery between Canada and New York State. JAMA 272: 934–940.
  4. 4. Pilote L, Joseph L, Belisle P, Penrod J (2003) Universal health insurance coverage does not eliminate inequities in access to cardiac procedures after acute myocardial infarction. Am Heart J 146: 1030–1037.
  5. 5. Philbin EF, McCullough PA, DiSalvo TG, Dec GW, Jenkins PL, et al. (2000) Socioeconomic status is an important determinant of the use of invasive procedures after acute myocardial infarction in New York State. Circulation 102: III107–III115.
  6. 6. Kressin NR, Petersen LA (2001) Racial differences in the use of invasive cardiovascular procedures: review of the literature and prescription for future research. Ann Intern Med 135: 352–366.
  7. 7. Ayanian JZ, Epstein AM (1991) Differences in the use of procedures between women and men hospitalized for coronary heart disease. N Engl J Med 325: 221–225.
  8. 8. Schulman KA, Berlin JA, Harless W, Kerner JF, Sistrunk S, et al. (1999) The effect of race and sex on physicians' recommendations for cardiac catheterization. N Engl J Med 340: 618–626.
  9. 9. Gaglia MA Jr, Torguson R, Xue Z, Gonzalez MA, Collins SD, et al. (2010) Insurance type influences the use of drug-eluting stents. JACC Cardiovasc Interv 3: 773–779.
  10. 10. Mumma BE, Baumann BM, Diercks DB, Takakuwa KM, Campbell CF, et al. (2010) Sex Bias in Cardiovascular Testing: The Contribution of Patient Preference. Ann Emerg Med 57 (6) 551–560.
  11. 11. Mitchell AJ, Malone D, Doebbeling CC (2009) Quality of medical care for people with and without comorbid mental illness and substance misuse: systematic review of comparative studies. Br J Psychiatry 194: 491–499.
  12. 12. Merrick EL, Hodgkin D, Garnick DW, Horgan CM, Panas L, et al. (2008) Unhealthy drinking patterns and receipt of preventive medical services by older adults. J Gen Intern Med 23: 1741–1748.
  13. 13. Fiellin DA, O'Connor PG, Wang Y, Radford MJ, Krumholz HM (2006) Quality of care for acute myocardial infarction in elderly patients with alcohol-related diagnoses. Alcohol Clin Exp Res 30: 70–75.
  14. 14. Andersen HR, Nielsen TT, Rasmussen K, Thuesen L, Kelbaek H, et al. (2003) A comparison of coronary angioplasty with fibrinolytic therapy in acute myocardial infarction. N Engl J Med 349: 733–42.
  15. 15. Henriques JPS, Zijlstra F, van't Hof AWJ, de Boer MJ, Dambrink JH, et al. (2006) Primary percutaneous coronary intervention versus thrombolytic treatment: long term follow up according to infarct location. Heart 92: 75–9.
  16. 16. Keeley EC, Boura JA, Grines CL (2003) Primary angioplasty versus intravenous thrombolytic therapy for acute myocardial infarction: a quantitative re-view of 23 randomised trials. Lancet 361: 13–20.
  17. 17. Druss BG, Bradford DW, Rosenheck RA, Radford MJ, Krumholz HM (2000) Mental disorders and use of cardiovascular procedures after myocardial infarction. JAMA 283: 506–511.
  18. 18. Young JK, Foster DA (2000) Cardiovascular procedures in patients with mental disorders. JAMA 283: 3198–3199.
  19. 19. Jones LE, Carney CP (2005) Mental disorders and revascularization procedures in a commercially insured sample. Psychosom Med 67: 568–576.
  20. 20. Li Y, Glance LG, Cai X, Mukamel DB (2007) Are patients with coexisting mental disorders more likely to receive CABG surgery from low-quality cardiac surgeons? The experience in New York State. Med Care 45: 587–593.
  21. 21. Ghali WA, Knudtson ML (2000) Overview of the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease. On behalf of the APPROACH investigators. Can J Cardiol 16: 1225–1230.
  22. 22. Saitz R, Ghali WA, Moskowitz MA (1999) Characteristics of patients with pneumonia who are discharged from hospitals against medical advice. Am J Med 107: 507–509.
  23. 23. Saitz R, Ghali WA, Moskowitz MA (2000) The impact of leaving against medical advice on hospital resource utilization. J Gen Intern Med 15: 103–107.
  24. 24. Ghali WA, Faris PD, Galbraith PD, Norris CD, Curtis MJ, et al. (2002) Sex differences in access to coronary revascularization after cardiac catheterization: importance of detailed clinical data. Ann Intern Med 136: 723–732.
  25. 25. Norris CM, Ghali WA, Knudtson ML, Naylor CD, Saunders LD (2000) Dealing with missing data in observational health care outcome analyses. J Clin Epidemiol 53: 377–383.
  26. 26. Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures for use with administrative data. Med Care 36: 8–27.
  27. 27. Adams WL, Yuan Z, Barboriak JJ, Rimm AA (1993) Alcohol-related hospitalizations of elderly people. Prevalence and geographic variation in the United States. JAMA 270: 1222–1225.
  28. 28. Tu JV, Austin PC, Walld R, Roos L, Agras J, et al. (2001) Development and validation of the Ontario acute myocardial infarction mortality prediction rules. J Am Coll Cardiol 37: 992–997.
  29. 29. Southern DA, Faris PD, Brant R, Galbraith PD, Norris CM, et al. (2006) Kaplan-Meier methods yielding misleading results in competing risk scenarios. J Clin Epidemiol 59 (10) 1110–4.
  30. 30. SAS [Version 9.2]. (2010) Cary, North Carolina, USA.
  31. 31. Juergens SM, Hurt RD, Offord KP, Zarling KK, Zemke KK, et al. (1993) Alcoholism in a coronary care unit population. J Addict Dis 12: 57–76.
  32. 32. Patel AB, Quan H, Faris P, Knudtson ML, Traboulsi M, et al. (2011) Temporal associations of early patient transfers and mortality with the implementation of a regional myocardial infarction care model. Can J Cardiol Nov–Dec;27 (6) 731–8.
  33. 33. Hemingway H, Chen R, Junghans C, Timmis A, Eldridge S, et al. (2008) Appropriateness criteria for coronary angiography in angina: reliability and validity. Ann Intern Med 149: 221–231.
  34. 34. Ahern J, Stuber J, Galea S (2007) Stigma, discrimination and the health of illicit drug users. Drug Alcohol Depend 88: 188–196.
  35. 35. Santana P (2002) Poverty, social exclusion and health in Portugal. Soc Sci Med 55: 33–45.
  36. 36. Kaplan GG, Panaccione R, Hubbard JN, Nguyen GC, Shaheen AA, et al. (2009) Inflammatory bowel disease patients who leave hospital against medical advice: predictors and temporal trends. Inflamm Bowel Dis 15: 845–851.
  37. 37. Brook M, Hilty DM, Liu W, Hu R, Frye MA (2006) Discharge against medical advice from inpatient psychiatric treatment: a literature review. Psychiatr Serv 57: 1192–1198.