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Cardiovascular Risk Factors in Veterans with SCI and Acute Myocardial Infarction
Sunil Sabharwal, MD1,2; Pat Woods MSN1; Kelly Stolzmann1; Ram Sharma1; Errol Baker1
1VA Boston Health Care System; 2Harvard Medical School
Acknowledgements
Supported in part by the Department of Veterans Affairs, Office of Research and Development, Health Services Research and Development ,Grant # RRP 11-013
VA IHD QUERI Elliot Lowy G. Blake Wood
VA SCI QUERI Bridget Smith Fran Weaver
Heart Disease is a leading cause of morbidity and mortality in SCI
Whiteneck GG, Charlifue SW, Frankel HL, Fraser MH, Gardner BP, Gerhart KA et al. Mortality, morbidity, and psychosocial outcomes of persons spinal cord injured more than 20 years ago. Paraplegia 1992; 30: 617–630.
DeVivo MJ, Krause JS, Lammertse DP.Recent trends in mortality and causes of death among persons with spinal cord injury. Arch Phys Med Rehabil. 1999 Nov;80(11):1411-9
Garshick E, Kelley A, Cohen SA, Garrison A, Tun CG, Gagnon D, Brown R. A prospective assessment of mortality in chronic spinal cord injury.Spinal Cord. 2005 Jul;43(7):408-16.
Conventional risk factors for heart disease are well established in the general population
Non-modifiable Older age Male sex Family history of early heart disease
Modifiable Hypertension Cigarette smoking Hypercholesterolemia, lipid disorder Diabetes Other: Obesity, lack of physical activity
Novel or non-traditional
▪ Khot UN, Khot MB, Bajzer CT, Sapp SK, Ohman EM, Brener SJ, Ellis SG, Lincoff AM, Topol EJ. Prevalence of conventional risk factors in patients with coronary heart disease. JAMA. 2003 Aug 20;290(7):898-904
Role of cardiovascular risk factors in SCI:Literature exists but is limited/inconclusive
Bauman WA, Spungen AM. Coronary heart disease in individuals with spinal cord injury: assessment of risk factors. Spinal Cord. 2008 Jul;46(7):466-76.
Cragg JJ, Noonan VK, Krassioukov A, Borisoff J.
Cardiovascular disease and spinal cord injury: results from a national population health survey. Neurology. 2013 Aug 20;81(8):723-8.
Wilt TJ, Carlson KF, Goldish GD, MacDonald R, Niewoehner C, Rutks I, Shamliyan T, Tacklind J, Taylor BC, Kane RL. Carbohydrate and lipid disorders and relevant considerations in persons with spinal cord injury. Evid Rep Technol Assess (Full Rep). 2008 Jan;(163):1-95.
Objectives
Compare the prevalence of conventional cardiovascular risk factors (hypertension, lipid disorders, diabetes, and smoking) in individuals with and without spinal cord injury (SCI) who develop acute myocardial infarction (AMI)
Study design
Retrospective cohort study of veterans with and without SCI hospitalized with AMI at any Veterans Administration (VA) hospital between July 2003 and December 2010
Data Sources
VA Cardiac Care Follow-up Clinical Study (CCFCS) data repository: ▪ Includes data, abstracted by trained abstractors using standard
reporting forms, on all patients hospitalized with a discharge diagnosis of AMI at any VA medical center from July 2003-Dec 2010▪ In addition to all patients with AMI (ICD-9 codes 410.x), ~10% of CCFCS includes a
random sample of patients with unstable angina without AMI (ICD-9 codes 411.x)
VA Spinal Cord Dysfunction (SCD) registry: ▪ Includes information about characteristics of SCI. ▪ Individuals with SCI were identified in the CCFCS database and cross-
matched with the VA SCD registry to obtain information about neurological level and completeness of SCI.
Chart review▪ If missing information about SCI level and completeness in SCD registry
Defining the Study Population
SCI and non-SCI cohorts established
Defining the SCI cohort ICD-9 codes:806.0 – 806.9 (fracture of vertebral column with
SCI), 907.2-907.3 (late effects of spinal cord injury), 952.00-952.9 (spinal cord injury without evidence of spinal bone injury), 344.0-344.09 (quadriplegia), 344.1 (paraplegia)▪ Excluded patients with multiple sclerosis and ALS
Excluded from both SCI and non-SCI cohorts Inter-hospital transfer after presenting to a community hospital AMI occurrence during inpatient stay Females – constituted < 2% of the study population in both
groups. Unstable angina without AMI (ICD-9 411.x)
VA Cardiac Care Follow-up Study Data Repository
(N=96,025)
SCI Diagnosis (n=479)
SCI with AMI (n=465)
SCI Patients Presented to VA
ER with AMI (n=223)
SCI Males Presented to VA
ER with AMI (n=191)
Final SCI AMI Group (n=191)
Excluded: Females (n=3); Incorrect SCI
diagnosis (n=29)
Excluded: Developed AMI as inpatients (n=190); Transfer
from community hospital (n=52)
Excluded: Unstable angina
w/out AMI (n=14)
Non-SCI (n=95,560)
Non-SCI with AMI (n=86,206)
Non-SCI Patients
Presented to VA ER with AMI (n=56,951)
Non-SCI Males Presented to VA
ER with AMI (n=55,958)
Final Non-SCI AMI Group (n=55,958)
Excluded: Females (n=993)
Excluded: Developed AMI as inpatients
(n=15,364);Transfer from
community hospital (n=13,891)
Excluded: Unstable angina
w/out AMI (n=9,354)
Defining the SCI & non-SCI Cohorts
Study Variables
Patient demographics, cardiovascular history and risk factors, AMI characteristics
SCI characteristics (Neurological level and completeness of SCI). For analyses we grouped SCI into 4
groups: High-Complete, High-Incomplete, Low-Complete, and Low-Incomplete.
Analyses
Prevalence of individual cardiovascular risk factors was identified in the SCI and non-SCI cohorts (and for each of the SCI sub-groups) from the CCFCS database
Multiple logistic regression was used to assess the significance of select cardiovascular risk factors (hypertension, lipid disorder, diabetes, cigarette smoking, and age) on SCI status
SCI & Non-SCI Cohorts with AMI: Logistic Regression
SCIN = 191
Non-SCI N =
55,958
P Value Odds Ratio
(95%CI)
Age (mean, years) 66.5 68.8 0.007
Risk Factors (%) Hypertension Lipid disorder Diabetes mellitus Smoking history Smoking w/in past year
51.855.929.920.115.9
63.372.134.422.626.1
0.002<0.001
0.220.2
<0.001
1.4 (1.1-2.0)
2.0 (1.5-2.8)
1.1 (0.8-1.7)
1.3 (0.9-1.9)
2.4 (1.5-3.7)
Other variables assessed
SCI(N = 191)
Non-SCI (N =
56,951)
P Value
Prior Event (%) Myocardial infarction Heart failure Stroke Coronary angioplasty Coronary artery bypass surgery
19.824.28.69.19.1
21.320.46.115.820.2
0.410.220.160.010.002
Other variables Family history (high missing) Obesity (recorded diagnosis only) Depression
13.63.19.8
12.28.59.6
0.840.010.94
Diagnosis – MI type (%) Non-ST- Elevation MI (NSTEMI) ST- Elevation MI (STEMI)
83.314.1
83.214.8
N.S.N.S.
Within the SCI group: High complete vs. all other SCI
High-Complete N
= 19
Other SCI
N = 172
P Value
Age Hypertension Lipid disorder Diabetes mellitus Smoking history Smoking w/in past year
62.451.855.929.920.115.9
66.963.372.134.422.626.1
0.90.020.060.70.20.5
Study Limitations
Retrospective study, relies on accuracy and completeness of data (However, concern mitigated by use of trained abstractors)
Limited to male veterans; potential effect on
generalizability
Relatively small sample size of the SCI group (though large for an SCI cohort study)
Does not account for AMI that was completely missed so never entered in CCFCS
Conclusion: Primary Finding
Individuals with SCI were less likely to be identified as having several of the conventional risk factors for cardiovascular disease than the non-SCI cohort, despite developing AMI at a younger age
Potential Explanations
Factors other than the traditional risk factors may play a more prominent role in development of cardiovascular disease in people with SCI
Some aspects of risk may not be fully captured by conventional diagnostic criteria in the CCFCS database (e.g. peripheral insulin resistance vs. diabetes, isolated low HDL vs. “lipid disorder”, relative hyper-adiposity vs. obesity diagnosis)
Threshold for cardiovascular risk could be different in people with SCI for some traditional risk factors (e.g. hypertension)
Potential Implications
Our results support further study to examine the role of factors such as autonomic impairment, sepsis, and pro-inflammatory/ pro-thrombotic factors in the development of cardiovascular disease following SCI
Conventional risk factors for heart disease should be identified and treated in people with SCI according to current standards of care, while gathering evidence to guide possible adaptation of the standards for individuals with SCI.