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. Author manuscript; available in PMC: 2014 Apr 15.
Published in final edited form as: Am J Cardiol. 2013 Jan 26;111(8):10.1016/j.amjcard.2012.12.033. doi: 10.1016/j.amjcard.2012.12.033

Effect of Morbid Obesity on In-Hospital Mortality and Coronary Revascularization Outcomes after Acute Myocardial Infarction in the United States

Jashdeep Dhoot a, Shamail Tariq a, Ashwini Erande a, Alpesh Amin b,c, Pranav Patel a,c, Shaista Malik a,c
PMCID: PMC3885329  NIHMSID: NIHMS439579  PMID: 23360768

Abstract

We sought to investigate the impact of morbid obesity (body mass index (BMI ≥ 40 kg/m2)] on in-hospital mortality and coronary revascularization outcomes on patients presenting with acute myocardial infarction (AMI). We used the Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP) and reviewed 413,673 patients hospitalized with acute myocardial infarction (AMI) in 2009. The morbidly obese comprised 3.7% of all AMI patients. Analysis of the unadjusted data revealed that morbidly obese patients compared to those not morbidly obese were more likely to undergo any invasive cardiac procedures when presenting with either STEMI (97.4% vs 93.8%, p<0.0001) or NSTEMI (85.5% vs 80.6%, p<0.0001). The unadjusted mortality rate for morbidly obese patients with AMI was 3.5% compared to 5.5% (p<.0.0001) of those not obese. In adjusted analyses also, patients with morbid obesity had lower odds of in-hospital mortality compared to non-morbidly obese patients consistent with the phenomenon of "the obesity paradox."

Keywords: morbid obesity, mortality, acute myocardial infarction, percutaneous coronary intervention

Introduction

Given the previously reported worse short-term outcomes for morbidly obese patients presenting with ACS in prior registry studies (15), we explored whether this association was evident in a large national database. Using data from the Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP), we analyzed the association between morbid obesity, treatment utilization, and mortality while adjusting for baseline characteristics, including comorbidities, for 413,673 patients hospitalized with acute myocardial infarction (AMI).

Methods

This study involved a population-based sample of all patients admitted with AMI to 1,045 hospitals in 44 states in 2009 whose admission and discharge data were included in the Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP). Our sample included those admitted with a principal diagnosis of AMI according to the International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 410.0 to 410.92. ST elevation myocardial infarction (STEMI) was recorded when the principal diagnosis was billed with ICD- 9 codes 410.0–410.62, 410.81–410.82 and Non ST elevation myocardial infarction (NSTEMI) with ICD-9 codes 410.70–410.72, 410.90–410.92. Patients were excluded if AMI was an in-hospital complication. Institutional review board approval was obtained from the authors’ university.

These data include ICD-9–coded primary and secondary diagnoses; primary and secondary procedures; admission and discharge status; demographic information such as sex, age, race and ethnicity, and median income for zip code divided into quartiles; expected payment source; total charges; length of stay; and hospital region, teaching status, ownership type, and bed size. We used ICD-9 secondary diagnosis codes and a database defined variable for morbid obesity (BMI ≥ 40 kg/m2) developed by the Agency for Healthcare Research and Quality (AHRQ). ICD-9 secondary codes were used to indicate the presence of up to 30 chronic comorbidities likely to have been present on admission, using the Elixhauser comorbidity adjustment method (6) developed at AHRQ. Variables in the risk adjustment algorithm include age, sex, peripheral vascular disease, paralysis, other neurological disorders, chronic pulmonary disease, diabetes mellitus, diabetes mellitus with chronic complications, hypothyroidism, renal failure, liver disease, peptic ulcer disease, AIDS, lymphoma, metastatic cancer, solid tumor without metastasis, rheumatoid arthritis, coagulopathy, weight loss, fluid and electrolyte disorders, chronic blood loss anemia, deficiency anemia, alcohol abuse, drug abuse, psychoses, and hypertension.

The principal outcome measure was short-term all-cause mortality (in-hospital mortality) which was defined as death that occurred during the initial hospitalization, between day of hospital admission and date before discharge, provided the length of stay was less than or equal to 30 days. Secondary outcomes included cardiac procedures and were defined using ICD-9 primary procedure codes to indicate whether diagnostic coronary angiography (ICD-9 codes: 37.22, 37.23, 88.53, 88.54, 88.55, 88.56, 88.57), percutaneous coronary intervention (PCI) (ICD-9 codes: 36.04, 36.06, 36.07, 00.66) or coronary artery bypass graft (CABG) surgery (ICD-9 codes: 36.10–36.19) were performed during the hospitalization.

We used SAS version 9.1 (SAS Institute, Inc.) for all analyses. Univariate and distributional analysis included measures of central tendency, kurtosis and skew. Differences between morbidly obese patients and non-morbidly obese patients were assessed with the χ2 test for categorical variables and with the Student t-test or one-way analysis of variance as appropriate for continuous variables. Adjusted ORs for in-hospital mortality as well as procedure use were estimated using unconditional logistic regression. To control for differential characteristics of morbidly obese patients and non-morbidly obese patients, covariates including age, gender, race, income, Elixhauser comorbidities, and hospital characteristics such as hospital location, hospital control (for-profit, non-profit), hospital teaching status and hospital volume were included in the models. All analyses were weighted using NIS provided weights to create national estimates.

Results

The 2009 NIS database included 413,673 admissions for AMI, with 32% due to STEMI and 68% due to NSTEMI (Table 1). Morbidly obese (BMI ≥ 40 kg/m2) patients comprised 3.7% of all AMI patients. Morbidly obese patients presenting with AMI were more likely to be female (45.8% vs 36.7%, p<.0001), younger (59.6 years old vs. 65.3 years old, p<.0001), black (11.7% vs 9.2%, p<.0001) and had a higher incidence of co-morbid conditions such as diabetes mellitus (63.4% vs 33.0%, p<.0001), hypertension (77.3% vs 67.6%, p<.0001), and renal failure (21.6% vs 16.7%, p<.0001).

Table 1.

Baseline characteristics of Acute Myocardial Infarction (AMI) patients with morbid obesity

AMI a patients Morbid obesity P-Value d

Number of cases Overall sample Yes No
Overall 413,673 3.7 (15,254) 96.3 (398,419)
Female 37.0 (153,147) 45.8 (6,993) 36.7 (146,154) <0.0001
Males 63.0 (260,526) 54.2 (8,262) 63.3 (252,265) <0.0001
STEMI b 32.4 (134,032) 23.8 (3,623) 32.7 (130,409) 0.0001
NON- STEMI c 67.6 (279,641) 76.3(11,631) 67.3 (268,010) 0.0001
In-hospital death 5.4 (22,315) 3.5 (529) 5.5 (21,786) <0.0001
Diagnostic Cath 18.7 (77,157) 21.1 (3,215) 18.6 (73,942) <0.0001
PCI 48.7 (201,291) 41.5 (6,327) 48.9 (194,964) <0.0001
CABG 9.6 (39,551) 16.2 (2,470) 9.3 (37,081) <0.0001
Mean age
Overall 65.6 ± 31.1 59.6 ± 26.2 65.9 ± 31.2 <0.0001
STEMI 62.3 ± 30.6 57.3 ± 26.6 62.5 ± 30.6 <0.0001
NSTEMI 67.1 ± 30.7 60.4 ± 25.9 67.5 ± 30.1 <0.0001
Race
White 76.7 (317,413) 77.0 (11,742) 76.7 (305,671)
Black 9.3 (38,361) 11.7 (1,780) 9.2 (36,581))
Hispanic 7.3 (29,991) 7.0 (1,057) 7.3 (28,934) <0.0001
Asian 2.2 (8,873) 0.9 (135) 2.2 (8,738)
Others 4.6 (19,035) 3.5 (540) 4.6 (18,495)

Median household Income ($)
1– 39,999 26.9 (111,165) 31.3 (4,771) 26.7 (106,393)
40,000 – 49,999 26.7 (110,471) 27.0 (4,117) 26.7 (106,354) <0.0001
50,000– 65,000 25.0 (103,238) 25.0 (3,813) 25.0 (99,424)
66,000+ 21.5 (88,799) 16.7 (2,553) 21.7 (86,246)

Co-morbidities
Diabetes Mellitus 34.1 (140,916) 63.4 (9,677) 33.0 (131,239) <0.0001
Hypertension 68.0 (281,044) 77.3 (11,787) 67.6 (269,258) <0.0001
Perivascular disorders 11.8 (48,868) 10.9 (1,664) 11.9 (47,204) 0.0004
Renal Failure 17.0 (69,841) 21.6 (3,292) 16.7 (66,550) <0.0001

Values are expressed as mean ± standard deviation for continuous variables or % (n) for dichotomous variables

a

Acute Myocardial Infarction (AMI)- ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061, 41062, 41070, 41071, 41072, 41080, 41081, 41082, 41090, 41091, 41092

b

ST Elevation myocardial infarction (STEMI)- ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061,41062, 41080

c

non ST Elevation myocardial infarction (NSTEMI)-ICD9 codes 41070, 41071, 41072, 41090, 41091, 41092

d

P value obtained by Chi-Square test of Independence for categorical variables

e

Morbid obesity is defined as body mass index (BMI) >40 in kg/m2

Analysis of the unadjusted data revealed that morbidly obese patients compared to those not morbidly obese were more likely to undergo any invasive cardiac procedures when presenting with either STEMI (97.4% vs 93.8%, p<0.0001) or NSTEMI (85.5% vs 80.6%, p<0.0001) (Table 2). In both the STEMI and NSTEMI subgroups, morbidly obese patients were slightly more likely to undergo only diagnostic catheterization with no further revascularization (10.3% vs 9.01%, p<0.0001 and 29.2% vs 27.1%, p<0.001, respectively.) Regardless of the type of AMI, morbidly obese patients were less likely to undergo PCI (45.1% vs 52.9%, p<0.0001) and more likely to receive CABG (18.6% vs 10.9%, p< 0.0001) than non-morbidly obese patients.

Table 2.

Relationship Between Cardiac procedures and Morbid Obesityi in all Acute Myocardial Infarction, STEMI and NSTEMI patients

Cardiac
Procedure
AMI a patients STEMI b patients NSTEMI c patients

Morbid obesity Morbid obesity Morbid obesity

n Yes No Chi -
square
P -
Value
n Yes No Chi -
square
P -
Value
n Yes No Chi -
square
P -
Value
No procedured 61,729 11.7
(1,779)
15.1
(59,950)
132.7 <0.0001 8136 2.6
(95)
6.2
(8,042)
191.9 <0.0001 53,593 14.5
(1,684)
19.4
(51,909)
171.9 <0.0001
Any procedure e 351,944 88.3
(13,475)
85.0
(338,468)
132.7 <0.0001 125,896 97.4
(3,529)
93.8
(122,368)
78.3 <0.0001 226,048 85.5
(9,947)
80.6
(216,101)
171.9 <0.0001
Diagnostic cath f 88,250 24.7
(3,763)
21.2
(84,487)
105 <0.0001 12,123 10.3
(373)
9.01
(11,750)
7.1 0.008 76,127 29.2
(3390)
27.1
(72,737)
22.6 <0.0001
PCI g 217,492 45.1
(6,878)
52.9
(210,615)
356.1 <0.0001 102,266 72.7
(2634)
76.4
(99,632)
26.6 <0.0001 115,227 36.5
(4244)
41.4
(110,983)
111.6 <0.0001
CABG h 46,201 18.6
(2,834)
10.9
(43,367)
877.2 <0.0001 11,508 14.4
(521)
8.4
(10,986)
159.8 <0.0001 34,694 19.9
(2313)
12.1
(32,381)
624.9 <0.0001

Values are expressed as % (n)

a

Acute Myocardial Infarction (AMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061, 41062, 41070, 41071, 41072, 41080, 41081, 41082, 41090, 41091, 41092

b

ST elevation myocardial infarction (STEMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061,41062, 41080, 41081,41082

c

non ST Elevation myocardial infarction (NSTEMI) - ICD9 codes 41070, 41071, 41072, 41090, 41091, 41092

d

Patients who have not undergone any procedure

e

Patients who have undergone any of the cardiac procedures

f

Diagnostic Catheterization- ICD9 codes 3722, 3723, 8853, 8854, 8855, 8856, 8857

g

Percutaneous Intervention (PCI) - ICD9 codes 0066, 3604, 3606, 3607

h

Coronary Artery Bypass Graft (CABG) - ICD9 codes 3610, 3611, 3612, 3613, 3614, 3615, 3616, 3617, 3619

i

Morbid obesity is defined as body mass index (BMI) >40 in kg/m2

After adjusting for age, gender, race, income, hospital factors and Elixhauser comorbidities, these differences persisted. Morbidly obese patients presenting with STEMI who required revascularization were more likely to undergo CABG (OR 1.60, (95% CI 1.45- 1.78)) and less likely PCI (OR 0.86, (95% CI 0.80–0.94)) than non-morbidly obese patients (Table 3). Similarly, when presenting with NSTEMI, and undergoing revascularization, morbidly obese patients were more likely to undergo CABG (OR 1.61, (95% CI 1.53–1.69)) and less likely PCI (OR 0.78, (95% CI 0.80–0.94)).

Table 3.

Multivariate Regression showing association of Obesity with cardiac procedures in Acute Myocardial Infarction, STEMI, NSTEMI patients

AMI patients a STEMI patientsb NSTEMI patients c

Models Outcome Morbid obesityj Morbid obesity Morbid obesity

Odds Ratio
(95 % CI)
P -
Value
Odds Ratio
(95 % CI)
P -
Value
Odds Ratio
(95 % CI)
P - Value
Age, Gender, Race, Income, Hospital factors e and 30 Elixhauser morbidities i Diagnostic cath f 1.09 (1.04 – 1.13) <0.0001 1.12 (1.0003 – 1.25) <0.0001 1.02 (0.98 – 1.07) 0.27
Age, Gender, Race, Income, Hospital factors and 30 Elixhauser morbidities PCI g 0.74 (0.72 – 0.77) <0.0001 0.86 (0.80 – 0.94) 0.0003 0.78 (0.0.75–0.0.81) <0.0001
Age, Gender, Race, Income, Hospital factors and 30 Elixhauser morbidities CABG h 1.66 (1.59 – 1.74) <0.0001 1.60 (1.45 – 1.78) <0.0001 1.61(.53– 1.69) <0.0001
Age, Gender, Race, Income, Hospital factors and 30 Elixhauser morbidities Any procedure d 1.08 (1.02 – 1.14) 0.01 2.25 (1.82 – 2.79) <0.0001 1.04 (0.98 – 1.10) 0.21
a

Acute Myocardial Infarction (AMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061, 41062, 41070, 41071, 41072, 41080, 41081, 41082, 41090, 41091, 41092

b

ST Elevation myocardial infarction (STEMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061,41062, 41080, 41081,41082

c

non ST Elevation myocardial infarction (NSTEMI) - ICD9 codes 41070, 41071, 41072, 41090, 41091, 41092

d

Patients who have undergone any of the cardiac procedures

e

Hospital factors such as hospital location, hospital control (government /private), hospital teaching status and total discharges

f

Diagnostic Catheterization- ICD9 codes 3722, 3723, 8853, 8854, 8855, 8856, 8857

g

Percutaneous Intervention (PCI) - ICD9 codes 0066, 3604, 3606, 3607

h

Coronary Artery Bypass Graft (CABG)- ICD9 codes 3610, 3611, 3612, 3613, 3614, 3615, 3616, 3617, 3619

i

30 Elixhauser morbidities include Congestive heart failure, Cardiac arrhythmias, Valvular disease, Pulmonary Circulation Disorders, Peripheral vascular Disorders, Hypertension, uncomplicated and complicated, Paralysis, other neurological Disorders

j

Morbid obesity is defined as body mass index (BMI) >40 in kg/m2

A lower unadjusted in-hospital mortality rate was observed in the morbidly obese compared to those not morbidly obese in both the STEMI subsample (4.7% vs 6.3%, p< 0.0001) and the NSTEMI subsample (3.1% vs 5.1%, p<0.0001) (Table 4). After adjustment, no difference in mortality was found between morbidly obese patients and non-morbidly obese patients who were admitted with STEMI, regardless of whether they underwent no procedure, diagnostic cath, PCI, or CABG (Table 5). In those presenting with NSTEMI, however, the adjusted risk of in-hospital mortality was lower for morbidly obese patients compared to those not morbidly obese (OR 0.87, (95% CI 0.78–0.98)). When diagnosed with NSTEMI and subsequently undergoing no procedure, morbidly obese patients had a lower risk of in-hospital mortality than non-morbidly obese patients (OR 0.83, (0.71–0.98)).

Table 4.

Relationship between post Cardiac procedures mortality and Obesity in all Acute Myocardial Infarction, STEMI and NSTEMI patients

Cardiac
Procedure
AMI a patients STEMI b patients NSTEMI c patients

Morbid obesity Morbid obesity Morbid obesity

n Yes No Chi -
square
P -
Value
n Yes No Chi -
square
P -
Value
n Yes No Chi -
square
P -
Value
In-hospital mortality 22,315 3.5 (529) 5.5
(21,786)
114.9 <0.0001 8327 4.7
(171)
6.3
(8,157)
14.5 <0.0001 13,988 3.1
(359)
5.1
(13,629)
94 <.0001
Mortality for "no procedures" group 10,884 12.1
(216)
17.8
(10,669)
38.3 <0.0001 2,433 27.3(26) 29.9
(2407)
0.5 0.5 8,452 11.3
(190)
15.9
(8262)
26.1 <.0001
Post diagnostic cathf mortality 3321 2.1 (78) 3.8 (3243) 31.2 <0.0001 1272 7.0 (26) 10.6
(1246)
5.2 0.02 2049 1.5
(51.8)
2.8
(1997)
18.3 <.0001
Post PCIg mortality 6253 2.3 (156) 2.9
(6,097)
9.5 0.002 4027 3.8
(100)
3.9
(3,927)
0.14 0.7 2,226 1.3 (56) 2.0
(2,170)
8.7 0.003
Post CABGh mortality 1857 2.8 (80) 4.1
(1,777)
11.1 0.0009 595 3.7 (19) 5.2 (576) 2.4 0.12 1262 2.6 (61) 3.7
(1201)
7.1 0.008

Values are expressed as % (n)

a

Acute Myocardial Infarction (AMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061, 41062, 41070, 41071, 41072, 41080, 41081, 41082, 41090, 41091, 41092

b

ST Elevation myocardial infarction (STEMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061,41062, 41080, 41081,41082

c

non ST Elevation myocardial infarction (NSTEMI) -ICD9 codes 41070, 41071, 41072, 41090, 41091, 41092

d

Patients who have not undergone any procedure

e

Patients who have undergone any of the cardiac procedures

f

Diagnostic Catheterization- ICD9 codes 3722, 3723, 8853, 8854, 8855, 8856, 8857

g

Percutaneous Intervention (PCI)- ICD9 codes 0066, 3604, 3606, 3607

h

Coronary Artery Bypass Graft (CABG)- ICD9 codes 3610, 3611, 3612, 3613, 3614, 3615, 3616, 3617, 3619

i

Morbid obesity is defined as body mass index (BMI) >40 in kg/m2

Table 5.

Multivariate Regression showing association of morbid obesity and in-hospital mortality in Acute Myocardial Infarction, STEMI and NSTEMI patients

AMI a patients STEMIb patients NSTEMIc patients

Models Procedures Obesity Obesity Obesity

Odds Ratio (95 %
CI)
P - Value Odds Ratio (95 %
CI)
P - Value Odds Ratio (95 %
CI)
P -
Value
Age, Gender, Race, Income, Hospital factors e and 30 Elixhauser morbiditiesi Overall MI sample 0.86 (0.78– 0.94) 0.0008 0.90 (0.77– 1.07) 0.24 0.87 (0.78–0.98) 0.017
Age, Gender, Race, Income, Hospital factorse and 30 Elixhauser morbiditiesi No procedures d 0.79 (0.68– 0.92) 0.002 1.14 (0.69– 1.88) 0.61 0.83 (0.71– 0.98) 0.026
Age, Gender, Race, Income, Hospital factorse and 30 Elixhauser morbiditiesi Diagnostic cath only f 0.75 (0.60 – 0.95) 0.018 0.97 (0.64 – 1.49) 0.9 0.76 (0.57 –1.02) 0.063
Age, Gender, Race, Income, Hospital factorse and 30 Elixhauser morbiditiesi PCI g 0.59 (0.51–0.69) <.0001 1.06 (0.84 – 1.32) 0.64 0.91 (0.69– 1.20) 0.49
Age, Gender, Race, Income, Hospital factorse and 30 Elixhauser morbiditiesi CABG h 0.91 (0.72 – 1.15) 0.41 0.81 (0.50 – 1.30) 0.38 0.99(0.75–1.30) 0.92
a

Acute Myocardial Infarction (AMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061, 41062, 41070, 41071, 41072, 41080, 41081, 41082, 41090, 41091, 41092

b

ST Elevation myocardial infarction (STEMI) - ICD9 codes 41000, 41001, 41002, 41010, 41011, 41012, 41020, 41021, 41022, 41030, 41031, 41032, 41040, 41041, 41042, 41050, 41051, 41052, 41060, 41061,41062, 41080, 41081,41082

c

non ST Elevation myocardial infarction (NSTEMI) - ICD9 codes 41070, 41071, 41072, 41090, 41091, 41092

d

Patients who have not undergone any procedure

e

Hospital factors such as hospital location, hospital control (government /private), hospital teaching status and total discharges

f

Diagnostic Catheterization- ICD9 codes 3722, 3723, 8853, 8854, 8855, 8856, 8857

g

Percutaneous Intervention (PCI) - ICD9 codes 0066, 3604, 3606, 3607

h

Coronary Artery Bypass Graft (CABG)- ICD9 codes 3610, 3611, 3612, 3613, 3614, 3615, 3616, 3617, 3619

i

30 Elixhauser morbidities include Congestive heart failure, Cardiac arrhythmias, Valvular disease, Pulmonary Circulation Disorders, Peripheral vascular Disorders, Hypertension, uncomplicated and complicated, Paralysis, Other neurological Disorders

e

Morbid obesity is defined as body mass index (BMI) >40 in kg/m2

Discussion

Our analysis of the relationship between morbid obesity, invasive cardiac procedures, and mortality for 413,673 patients hospitalized with AMI revealed that: 1) morbidly obese patients presenting with AMI are more often women, black, have more comorbidities, and have lower socioeconomic status than non-morbidly obese patients; 2) after adjustment for comorbidities and demographic factors, morbidly obese patients have lower mortality when presenting with NSTEMI than non-morbidly obese patients. 3) In current practice, morbidly obese patients have higher rates of CABG and lower rates of PCI compared to non-morbidly obese patients when revascularization is chosen after AMI.

The morbidly obese patients with AMI in our study were on average about six years younger than the non-morbidly obese patients yet had higher rates of comorbid risk factors, such as diabetes mellitus and hypertension, consistent with the findings of the previously cited registry studies by Diercks et al. and Das et al. (7,8). This finding is likely due to the influence of the comorbidities associated with morbid obesity on accelerating the pathogenesis of myocardial infarction resulting in a younger age of presentation.

As mentioned previously, prior studies evaluating the association between obesity and in-hospital mortality post-AMI revealed that morbidly obese patients have higher adjusted mortality, despite overweight and moderately obese patients having a lower adjusted mortality compared to normal weight patients (7,8). This suggests that the apparent protective effect of “the obesity paradox” for post-MI mortality does not extend to patients whose BMI is greater than 40. Our study, however, found a significantly lower risk of adjusted in-hospital mortality for morbidly obese patients presenting with NSTEMI compared to non-morbidly obese patients. Morbidly obese STEMI patients had the same risk of mortality as non-morbidly obese patients.

The reason for the discrepancy between our results and those of previously published papers is unclear. One possible explanation is differences in the comparison group. The Das et al. and Diercks et al. studies used the lowest risk groups for comparison (overweight and class I obese groups, respectively), which would have enhanced the odds ratio for morbidly obese patients (7,8). The morbidly obese patients in our study, however, were compared to the entirety of the non-morbidly obese patients, which include underweight patients. Another reason for the difference in outcomes is the use of Elixhauser comorbidities and hospital characteristics in our study, which may have resulted in adjusting for more confounders in our study than prior studies.

Another interesting finding from our review of the national database was the preference for CABG surgery over PCI in morbidly obese patients. Possible explanations for this disparity include more extensive coronary disease in morbidly obese patients, which required surgical revascularization and the younger age of morbidly obese patients, which made them better surgical candidates.

In our study, morbidly obese patients also had lower risk of mortality than non-morbidly obese patients if no procedure was performed when presenting with NSTEMI but not with STEMI. It is possible that the marginal benefit of the early invasive strategy following NSTEMI that is recommended in the current ACC/AHA guidelines (9) is negated by increased theoretical peri-procedural complications and technical challenges in administering therapeutic interventions to morbidly obese patients. Further prospective studies are warranted to evaluate the outcomes of invasive cardiac therapies in morbidly obese patients.

This study has several limitations. The data was extracted from an administrative database that may not have included potentially important confounding variables and details on medical treatments. Undiscovered confounders are widely believed to explain “the obesity paradox” (10). Also, as previously mentioned, the heterogeneity of the comparison cohort in this study makes comparisons to previous similar studies difficult. Finally, since this was a retrospective study, we can only comment on the association of morbid obesity, therapeutic interventions and outcomes. Prospective studies would be needed to prove causation of morbid obesity and adverse or beneficial effects.

In this large nationwide contemporary cohort of 413,673 patients presenting with AMI, morbid obesity was associated with a lower risk of adjusted in-hospital mortality compared to non-morbidly obese patients consistent with the phenomenon of “the obesity paradox.” Factors that may impact the better survival in morbidly obese patients include presenting at a younger age on presentation, the tendency to present with NSTEMI rather than STEMI, and the higher rate of referral for CABG.

Acknowledgements

Our work was supported by the National Heart, Lung, Blood Institute (KHL097158A, SM).

Footnotes

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Disclosures

There are no conflicts of interest. All authors had full access to the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis.

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