Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Dec 15.
Published in final edited form as: Am J Cardiol. 2018 Sep 21;122(12):2120–2124. doi: 10.1016/j.amjcard.2018.08.051

A National Population-based Study of Adults with Coronary Artery Disease and Coarctation of the Aorta

Sarah S Pickard a, Kimberlee Gauvreau a, Michelle Gurvitz a, Joshua J Gagne b,c, Alexander R Opotowsky a,c, Kathy J Jenkins a, Ashwin Prakash a
PMCID: PMC6260783  NIHMSID: NIHMS1509523  PMID: 30318418

Abstract

Adults with repaired coarctation of the aorta (CoA) suffer reduced long-term survival compared to the general population, in part due to coronary artery disease (CAD). There is conflicting evidence as to whether or not CoA is an independent risk factor for CAD. The primary aim was to determine if CoA is independently associated with premature myocardial infarction (MI) in the contemporary era. The secondary aim was to determine if CoA is independently associated with early coronary intervention. In a cross-sectional study using the National Inpatient Sample database from 2005–2014, we compared the age at MI and the age at coronary intervention (CABG or PCI, in the absence of MI diagnosis) in patients with and without CoA using weighted linear regression. Among 5,472,416 observations with a primary diagnosis of MI, 174 had a diagnosis of CoA. Patients with CoA had MI 7.2 years younger than those without CoA, after adjusting for potential confounders (95% CI −11.3, −3.1, P = 0.001). Among 3,631,718 patients without a diagnosis of MI who underwent CABG or PCI, 279 had a diagnosis of CoA. Patients with CoA who underwent coronary intervention were 15.6 years younger than those without CoA, after adjusting potential confounders (95% CI −18.3, −12.9, P < 0.001). In conclusion, patients with CoA have MI at a slightly younger age and undergo coronary intervention at a significantly younger age than those without CoA in the contemporary era. Our findings support continued close surveillance for and treatment of modifiable risk factors for CAD.

Keywords: congenital heart disease, myocardial infarction, epidemiology

INTRODUCTION

Patients with coarctation of the aorta (CoA), a common form of congenital heart disease often repaired in early childhood, have reduced long-term survival relative to the general population.1,2 Coronary artery disease (CAD) has historically been reported as a common cause of premature death in these patients.36 However, a more recent study found that while the prevalence of CAD in patients with CoA was higher than in patients with ventricular septal defects, after adjusting for traditional risk factors, CoA was not independently associated with risk of CAD.7 It is not known if CoA is associated with premature myocardial infarction (MI) or coronary intervention in the contemporary surgical era in the United States. In addition, the associated morbidities of CoA patients who suffer MI or undergo coronary intervention and in-hospital mortality are unknown. We utilized the National Inpatient Sample (NIS) database, the largest all-payer inpatient database representing over 95% of the US population, to determine if CoA is independently associated with premature MI. Our secondary aim was to determine if CoA is independently associated with earlier coronary intervention [coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI)] in the absence of acute MI.

METHODS

Methodology is adapted from our previously published study of stroke in adults with CoA.8 A cross-sectional study of patients ≥ 18 years of age included in the administrative NIS discharge database, provided by the Healthcare Cost and Utilization Project (HCUP) of the Agency for Healthcare Research and Quality, was performed for the period 2005–2014. Each year of the NIS includes data from an estimated 35 million annual discharges.9 Our primary hypothesis was that patients with CoA are hospitalized with myocardial infarction at a younger age than patients without CoA Our secondary hypothesis was that patients with CoA undergo coronary intervention, including CABG and PCI, at a younger age than the general population. Additional secondary outcomes included associated morbidities. Due to the use of publically available and anonymous data, the Boston Children’s Hospital Institutional Review Board exempted the study and waived the requirement for informed consent.

CoA was defined by International Classification of Diseases, Ninth Revision (ICD-9) code 747.1.10 MI was defined by a primary diagnostic ICD-9 code of 410.x (excluding 410.x2, “subsequent episode of care”).11,12 The positive predictive value of administrative codes for MI is ≥ 93%.12 CABG was defined by a primary procedural ICD-9 code of 36.1, 36.2, or 36.3. PCI was defined by primary procedural ICD-9 code of 00.66, 17.55, or 36.0. Observations were excluded if there was a concomitant ICD-9 code indicating infective endocarditis (421.x), complex congenital heart disease (Supplementary Table 1), cardiac surgery other than CABG, or pregnancy as designated by HCUP. For the primary outcome of MI, elective admissions were excluded. For the secondary outcome of coronary intervention, both elective and non-elective admissions were included and observations with a concomitant diagnosis of MI were excluded. If an observation had both a primary diagnosis of MI and underwent coronary intervention, it was included in the MI analysis only. Previously reported covariate ICD-9 definitions are shown in Supplementary Table 2.1318 Median income quartiles based on ZIP code are provided by HCUP; the upper limit of quartile 1 is 150% of the federal poverty level. Per HCUP, race includes both race and ethnicity; in the case that the source data supplied both, ethnicity takes precedence over race.9

To test our primary hypothesis, we compared the age at hospitalization with a primary diagnosis of MI in patients with and without a diagnosis of CoA using simple and multivariable weighted linear regression. Covariates included sex, race, atrial fibrillation or flutter, chronic kidney disease, diabetes mellitus, hyperlipidemia, hypertension, tobacco use, alcohol dependence or abuse, and median income by ZIP code. Sample weights were applied to patient-level discharge observations to generate a nationally representative estimate of US hospitalizations per recommendations from the Healthcare Cost and Utilization Project Methods Series.19 To account for a change in sampling frame in 2012, revised trend weights supplied by the Agency for Healthcare Research and Quality were used. Stata statistical software (version 14.2) svy commands were used to account for sample weights and clustering in the NIS survey design.

Interactions between CoA and hypertension and sex were assessed using interaction terms. In addition, a second model excluding hypertension was evaluated for both outcomes to determine if inclusion of hypertension, which may be an intermediary in the causal pathway from CoA to age at MI or coronary intervention, attenuated the effect of CoA on the outcome. Income was missing in 2.4% of observations and race in 15.9%, therefore, multiple imputation was used to impute the incomplete observations based on the values of all other covariates (Stata mi commands). Multinomial regression was used for both income and race, and 10 imputed datasets were created. Weighted linear regression models were run for each of the imputed datasets and combined to give the final results. Relationships between secondary outcomes and patient characteristics were assessed using logistic regression. For all analyses, the statistical significance level was set at 0.05 and hypothesis tests were 2-sided.

Codes for bicuspid aortic valve (BAV), which is present in over 50% of patients with CoA, have limited accuracy in administrative databases.20,21 It may be coded as either bicuspid aortic valve/congenital aortic insufficiency (746.4) or congenital aortic stenosis (746.3). To determine the impact of inclusion of observations with BAV on the association of CoA with age at MI and coronary intervention, we repeated analyses adjusting for the presence of these codes.

RESULTS

An estimated 5,472,416 patients were hospitalized with a primary diagnosis of myocardial infarction from 2005–2014. There were 174 patients with a secondary diagnosis of CoA. Patient characteristics are summarized in Table 1. The only statistically significant difference between the two groups with respect to clinical comorbidities and sociodemographic characteristics was in the sex distribution. Twenty percent of patients with CoA were female versus 39.9% of patients without CoA (P = 0.016). Hyperlipidemia and hypertension were common comorbidities in both those with and without CoA, but the frequency did not differ between the two groups.

Table 1.

Characteristics of Patients with Myocardial Infarction

Variable Coarctation of Aorta P-value

Yes (N = 174) No (N = 5,472,242)
Female 35 (20.0%) 1,798,033 (39.9%) 0.016
Atrial Fibrillation or Flutter 35 (22.9%) 778,722 (17.0%) 0.40
Chronic Kidney Disease 773,446 (16.5%) 0.10
Diabetes Mellitus 59 (37.0%) 1,677,262 (36.5%) 0.97
Hyperlipidemia 93 (61.7%) 2,573,525 (56.3%) 0.55
Hypertension 102 (69.6%) 3,220,471 (70.5%) 0.89
Tobacco Use 53 (36.0%) 1,612,868 (35.3%) 0.91
Alcohol Dependence or Abuse 128,512 (2.9%) 0.98
Race 0.76
    White 116 (78.2%) 3,452,330 (76.5%)
    Black 449,506 (10.0%)
    Hispanic 14 (9.2%) 332,680 (7.4%)
    Asian or Pacific Islander 99,405 (2.2%)
    Native American - 25,102 (0.6%)
    Other - 138,394 (3.2%)
Median Income by ZIP Code (Quartile) 0.69
    1 46 (27.3%) 1,284,758 (28.5%)
    2 51 (35.8%) 1,189,017 (27.2%)
    3 20 (17.7%) 1,069,789 (24.0%)
    4 33 (19.2%) 953,854 (20.3%)

Total numbers (N) are weighted estimates rounded to the nearest whole number.

Covariates are defined in Supplemental Table 2. There were no CoA patients of Native

American or other race, denoted by “-”.

Healthcare Cost and Utilization Project data use agreement prohibits reporting of fewer than 11 observations. CoA = coarctation of the aorta.

Patients with CoA were admitted with MI at a median age of 60 years (interquartile range (IQR) 50–71), compared to median age of 68 years (IQR 57–79) in those without CoA (Figure 1). After adjusting for potential confounders, CoA patients had MI 7.2 years younger than patients without CoA (95% CI −11.3, −3.1, Table 5). Stratification by the presence of hypertension or sex was not performed as the interaction terms did not reach statistical significance. In addition, inclusion of hypertension in the model did not significantly affect the estimate for CoA (Table 5). Only 8.8% of CoA patients and 0.06% of non-CoA patients had a diagnostic code for BAV or congenital aortic stenosis, which is significantly less than the established prevalence of BAV in CoA. When BAV was included in the model, there was no significant change in the association of CoA with age at MI (ß −6.6, 95% CI −10.7, −2.4, P = 0.002).

Figure 1. Age at Myocardial Infarction and Coronary Intervention in Patients with and without Coarctation of the Aorta.

Figure 1.

Box-plot diagram showing age of myocardial infarction and coronary intervention [coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI)] in those with and without coarctation of the aorta (CoA). The central line is the median and the box ranges from the 25th-75th percentile with bars encompassing 95% confidence interval. P-values are derived from univariate weighted linear regression. CABG = coronary artery bypass grafting; PCI = percutaneous coronary intervention; CoA = coarctation of the aorta.

An estimated 3,631,718 patients without a diagnosis of acute MI underwent CABG or PCI from 2005–2014. There were 279 patients with a diagnosis of CoA. Patient characteristics are summarized in Table 2. Hyperlipidemia was less common in patients with CoA (44.7%) compared to those without CoA (69.8%, P < 0.001). Hypertension was common in both groups (77.0% and 68.6% in those with and without CoA, respectively, P = 0.17). Most coronary interventions were percutaneous (70.6%) and there was no significant difference in the proportion of PCI versus CABG in those with and without CoA.

Table 2.

Characteristics of Patients with Coronary Intervention (PCI or CABG)

Variable Coarctation of Aorta P-value

Yes No (N = 279) (N = 3,631,439)
Female 72 (32.4%) 1,206,827 (29.2%) 0.55
Atrial Fibrillation or Flutter 28 (14.7%) 564,515 (13.7%) 0.81
Chronic Kidney Disease 381,992 (3.4%) 0.12
Diabetes Mellitus 63 (39.3%) 1,495,004 (27.7%) 0.11
Hyperlipidemia 115 (44.7%) 2,631,265 (69.8%) <0.001
Hypertension 172 (77.0%) 2,907,850 (68.6%) 0.17
Tobacco Use 67 (32.7%) 1,240,477 (25.6%) 0.24
Alcohol Dependence or Abuse 64,343 (3.5%) 0.32
0.97
    White 183 (72.9%) 2,980,624 (79.7%)
    Black 14 (5.5%) 275,009 (7.4%)
    Hispanic 54 (21.6%) 242,732 (6.5%)
    Asian or Pacific Islander - 83,683 (2.3%)
    Native American - 20,846 (0.6%)
    Other - 132,748 (3.6%)
Median Income by ZIP Code (Quartile) 0.93
    1 68 (26.7%) 1,013,805 (24.4%)
    2 53 (26.9%) 980,533 (24.0%)
    3 95 (24.7%) 897,508 (39.4%)
    4 34 (21.7%) 843,796 (12.3%)

Total numbers (N) are weighted estimates rounded to the nearest whole number.

Covariates are defined in Supplemental Table 2. There were no CoA patients of Asian or Pacific Islander, Native American, or other race, denoted by “-”.

Healthcare Cost and Utilization Project data use agreement prohibits reporting of fewer than 11 observations.

CoA = coarctation of the aorta.

Patients with CoA underwent CABG or PCI at a median age of 53 years (IQR 35–60), compared to a median age of 66 years (IQR 57–74) in those without CoA (Figure 2). After adjusting for potential confounders, CoA patients underwent coronary intervention 15.6 years younger than patients without CoA (Table 3). As in the primary analysis, the interaction term for CoA and hypertension did not reach statistical significance. In addition, exclusion of hypertension from the model did not affect the beta estimate for CoA (Table 3). As in the analysis for the primary outcome of MI, BAV was more common in those with CoA (12.5% vs. 0.08%, P <0.001) but less than the established prevalence. When BAV was included in the model, there was no significant change in the association of CoA with age at coronary intervention (ß −15.1, 95% CI −17.8, −12.4, P < 0.001).

Table 3.

Multivariable Linear Models of Relationship between Coarctation of the Aorta and Age at Myocardial Infarction and Coronary Intervention with and without Hypertension

Primary Diagnosis β for CoA (years) 95% CI P-value
Myocardial Infarction
    Model 1 −7.1 −11.3, −3.0 0.001
    Model 2 −7.2 −11.3, −3.1 0.001
Coronary Intervention
    Model 1 −15.6 −18.4, −12.9 <0.001
    Model 2 −15.6 −18.3, −12.9 <0.001

Model 1: adjusted for sex, atrial fibrillation or flutter, chronic kidney disease, diabetes mellitus, hyperlipidemia, tobacco use, alcohol dependence or abuse, race, and income

Model 2: adjusted for all Model 1 variables and hypertension

CoA = coarctation of the aorta

Among admissions for CABG or PCI, 45% were elective. In this elective intervention group, CoA patients underwent coronary intervention at an average age 20.0 years younger than those without CoA, after adjusting for potential confounders (ß −20.0; 95% CI −22.5, −15.5; P <0.001). Among non-elective admissions, CoA patients underwent coronary intervention at an average age 10.2 years younger than those without CoA, after adjusting for confounders (ß −10.2; 95% CI −14.5 −5.9; P <0.001).

DISCUSSION

In this nationally representative analysis of hospitalizations in the United States, we found that patients with CoA suffered MI at only a slightly younger age (7.2 years) and underwent coronary intervention at a significantly younger age (16 years) than those without CoA.

The younger age at MI in those with CoA may be due to increased risk of MI, potentially due to long-standing hypertension.22 However, alternative explanations exist. The age difference may be explained by overall decreased survival in patients with CoA, for a variety of reasons, and does not necessarily imply increased risk of MI. The life expectancy of patients with CoA has been reported to be 5–10 years shorter than the age- and sex-matched United Kingdom population.1 Cerebrovascular disease, both ischemic and hemorrhagic, is also a significant contributor to early morbidity and mortality.1,8 Therefore, our results support, but do not definitively prove the hypothesis that there is an increased risk for premature MI in this population. This finding is consistent with the case-control study by Roifman et al., which found an increased prevalence of CAD in patients with CoA compared to those with ventricular septal defects; this difference was, however, entirely attributable to increased prevalence of traditional risk factors.7

Despite the relatively modest difference in age at MI, patients with CoA underwent coronary intervention in the absence of MI at a substantially younger age than those without CoA. This difference in age was most prominent in patients who underwent elective interventions. There are several possible explanations for these findings. First, patients with CoA may be subjected to closer surveillance and thus CAD may be detected and intervened upon sooner. Of note, it is unknown if intervening upon coronary disease identified by more aggressive screening is appropriate or provides clinical benefit, and practice patterns on coronary revascularization for asymptomatic patients have shifted. It is also possible that historical concern for increased risk of MI in patients with CoA may lead to more aggressive diagnostic testing and intervention when CAD is detected. While PCI has not been shown to decrease mortality or risk of MI in the general population with stable CAD, the impact of coronary intervention in patients with CoA remains unknown.23,24 Finally, patients with CoA develop hypertension at a young age and over 50% are hypertensive by middle-age even in the absence of restenosis.22 While inclusion of hypertension in the models of MI or coronary intervention did not significantly attenuate the effect of CoA on age at outcome, duration of hypertension and treatment-response may impact age at coronary artery disease, which could not be accounted for in our analyses. Further research is needed to understand the drivers of early age of coronary intervention and whether or not it reduces the risk of premature MI.

Many of the limitations of this study are intrinsic to the use of an administrative database. First, we do not have data on type or timing of CoA repair or the presence of residual aortic obstruction, factors which may contribute to development of premature CAD. Second, the interaction terms for hypertension and CoA were statistically insignificant in the models of both outcomes; however, power was limited to detect effect modification. Third, body mass index could not be ascertained given the poor predictive value of ICD-9 codes for obesity.25 Fourth, it is likely that CoA is not routinely coded in all admitted patients with CoA resulting in an underestimation of its prevalence, though this would not affect the estimates of age at MI or coronary intervention. Finally, information regarding medication use or duration of treatment for comorbidities, such as hypertension, was not available.

In conclusion, patients with CoA in the United States suffer MI at a slightly younger age and undergo coronary intervention at a significantly younger age than patients without CoA in the contemporary era. Further research is needed to determine the drivers of early intervention and its effects on premature morbidity and mortality in patients with CoA. In the interim, our findings support continued close surveillance for and treatment of modifiable risk factors for coronary artery disease.

Supplementary Material

1
2

Footnotes

Sources of Funding: Funding for the project was provided by NIH/NHLBI T32 HL007572–32 (SSP) and the Matthew’s Hearts of Hope research grant (SSP, AP).

Disclosures: JJG has received salary support from grants from Novartis Pharmaceutical Corporation and Eli Lilly and Company to the Brigham and Women’s Hospital and is a consultant to Aetion, Inc. and to Optum, Inc., all for unrelated work. The remainder of the authors have no financial disclosures relevant to the topic of this manuscript.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Diller G-P, Kempny A, Alonso-Gonzalez R, Swan L, Uebing A, Li W, Babu-Narayan S, Wort SJ, Dimopoulos K, Gatzoulis MA. Survival Prospects and Circumstances of Death in Contemporary Adult Congenital Heart Disease Patients Under Follow-Up at a Large Tertiary Centre. Circulation 2015;132:2118–2125. [DOI] [PubMed] [Google Scholar]
  • 2.Brown ML, Burkhart HM, Connolly HM, Dearani JA, Cetta F, Li Z, Oliver WC, Warnes CA, Schaff H V. Coarctation of the aorta: lifelong surveillance is mandatory following surgical repair. J Am Coll Cardiol 2013;62:1020–1025. [DOI] [PubMed] [Google Scholar]
  • 3.Maron BJ, Humphries JO, Rowe RD, Mellits ED. Prognosis of surgically corrected coarctation of the aorta. A 20-year postoperative appraisal. Circulation 1973;47:119–126. [DOI] [PubMed] [Google Scholar]
  • 4.Cohen M, Fuster V, Steele PM, Driscoll D, McGoon DC. Coarctation of the aorta. Long-term follow-up and prediction of outcome after surgical correction. Circulation 1989;80:840–845. [DOI] [PubMed] [Google Scholar]
  • 5.Toro-Salazar OH, Steinberger J, Thomas W, Rocchini AP, Carpenter B, Moller JH. Long-term follow-up of patients after coarctation of the aorta repair. Am J Cardiol 2002;89:541–547. [DOI] [PubMed] [Google Scholar]
  • 6.Cokkinos D V, Leachman RD, Cooley DA. Increased mortality rate from coronary artery disease following operation for coarctation of the aorta at a late age. J Thorac Cardiovasc Surg 1979;77:315–318. [PubMed] [Google Scholar]
  • 7.Roifman I, Therrien J, Ionescu-Ittu R, Pilote L, Guo L, Kotowycz MA, Martucci G, Marelli AJ. Coarctation of the Aorta and Coronary Artery Disease: Fact or Fiction? Circulation 2012;126:16–21. [DOI] [PubMed] [Google Scholar]
  • 8.Pickard SS, Gauvreau K, Gurvitz M, Gagne JJ, Opotowsky AR, Jenkins KJ, Prakash A. Stroke in Adults With Coarctation of the Aorta: A National Population‐Based Study. J Am Heart Assoc 2018;7:e009072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Anon. NIS Database Documentation: Healthc Cost Util Proj (HCUP) 2017. Available at: www.hcup-us.ahrq.gov/db/nation/nis/nisdbdocumentation.jsp. [Google Scholar]
  • 10.Broberg C, McLarry J, Mitchell J, Winter C, Doberne J, Woods P, Burchill L, Weiss J. Accuracy of Administrative Data for Detection and Categorization of Adult Congenital Heart Disease Patients from an Electronic Medical Record. Pediatr Cardiol 2015;36:719–725. [DOI] [PubMed] [Google Scholar]
  • 11.Wahl PM, Rodgers K, Schneeweiss S, Gage BF, Butler J, Wilmer C, Nash M, Esper G, Gitlin N, Osborn N, Short LJ, Bohn RL. Validation of claims-based diagnostic and procedure codes for cardiovascular and gastrointestinal serious adverse events in a commercially-insured population. Pharmacoepidemiol Drug Saf 2010;19:596–603. [DOI] [PubMed] [Google Scholar]
  • 12.McCormick N, Lacaille D, Bhole V, Avina-Zubieta JA. Validity of myocardial infarction diagnoses in administrative databases: a systematic review. PLoS One 2014;9:e92286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N, Hill MD, Ghali WA, McAlister FA. Validation of a case definition to define hypertension using administrative data. Hypertension 2009;54:1423–1428. [DOI] [PubMed] [Google Scholar]
  • 14.Tamariz L, Harkins T, Nair V. A systematic review of validated methods for identifying venous thromboembolism using administrative and claims data. Pharmacoepidemiol Drug Saf 2012;21:154–162. [DOI] [PubMed] [Google Scholar]
  • 15.Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, Ghali WA, IMECCHI Investigators. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res 2008;43:1424–1441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Khokhar B, Jette N, Metcalfe A, Cunningham CT, Quan H, Kaplan GG, Butalia S, Rabi D. Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations. BMJ Open 2016;6:e009952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wiley LK, Shah A, Xu H, Bush WS. ICD-9 tobacco use codes are effective identifiers of smoking status. J Am Med Inform Assoc 20:652–658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kim HM, Smith EG, Stano CM, Ganoczy D, Zivin K, Walters H, Valenstein M. Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use. BMC Health Serv Res 2012;12:18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Houchens R, Ross D, Elixhauser A, Jiang J. Nationwide Inpatient Sample (NIS) Redesign Final Report. HCUP Methods Ser Rep # 2014–04 ONLINE April 4, 2014 US Agency Healthc Res Qual; 2014. Available at: http://www.hcup-us.ahrq.gov/reports/methods/methods.jsp. [Google Scholar]
  • 20.Roos-Hesselink JW, Schölzel BE, Heijdra RJ, Spitaels SEC, Meijboom FJ, Boersma E, Bogers AJJC, Simoons ML. Aortic valve and aortic arch pathology after coarctation repair. Heart 2003;89:1074–1077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Khan A, Ramsey K, Ballard C, Armstrong E, Burchill LJ, Menashe V, Pantely G, Broberg CS. Limited Accuracy of Administrative Data for the Identification and Classification of Adult Congenital Heart Disease. J Am Heart Assoc 2018;7:e007378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hager A, Kanz S, Kaemmerer H, Schreiber C, Hess J. Coarctation Long-term Assessment (COALA): Significance of arterial hypertension in a cohort of 404 patients up to 27 years after surgical repair of isolated coarctation of the aorta, even in the absence of restenosis and prosthetic material. J Thorac Cardiovasc Surg 2007;134:738–745.e2. [DOI] [PubMed] [Google Scholar]
  • 23.Boden WE, O’Rourke RA, Teo KK, Hartigan PM, Maron DJ, Kostuk WJ, Knudtson M, Dada M, Casperson P, Harris CL, Chaitman BR, Shaw L, Gosselin G, Nawaz S, Title LM, Gau G, Blaustein AS, Booth DC, Bates ER, Spertus JA, Berman DS, Mancini GBJ, Weintraub WS, COURAGE Trial Research Group. Optimal Medical Therapy with or without PCI for Stable Coronary Disease. N Engl J Med 2007;356:1503–1516. [DOI] [PubMed] [Google Scholar]
  • 24.Bruyne B De, Pijls NHJ, Kalesan B, Barbato E, PAL Tonino, Piroth Z, Jagic N, Möbius- Winkler S, Rioufol G, Witt N, Kala P, MacCarthy P, Engström T, Oldroyd KG, Mavromatis K, Manoharan G, Verlee P, Frobert O, Curzen N, Johnson JB, Jüni P, Fearon WF, Fearon WF FAME 2 Trial Investigators. Fractional Flow Reserve–Guided PCI versus Medical Therapy in Stable Coronary Disease. N Engl J Med 2012;367:991–1001. [DOI] [PubMed] [Google Scholar]
  • 25.Kuhle S, Kirk SFL, Ohinmaa A, Veugelers PJ. Comparison of ICD code-based diagnosis ofobesity with measured obesity in children and the implications for health care cost estimates.BMC Med Res Methodol 2011;11:173. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1
2

RESOURCES