Abstract
Women with coronary heart disease (CHD) are consistently less likely than men with CHD to be at low density lipoprotein cholesterol (LDL-C) goals, and the reasons for the gender gap are not established. We studied 2190 patients with CHD or equivalent (34% women, 42% racial/ethnic minority) who participated in the Family Cardiac Caregiver Investigation To Evaluate Outcomes (FIT-O) Study and had baseline lipid data, to determine whether having a paid or informal caregiver was independently associated with adherence to LDL-C goals (<100mg/dL, <70mg/dL) and statin use, and to determine if the association varied by gender. Caregiver status was assessed by standardized questionnaire and lipid levels/statin use were obtained from a hospital-based informatics system. The associations between caregiving and LDL-C and statin use were assessed in univariate and multivariable models, and interaction evaluated in gender stratified models. Men with CHD were more likely to be at LDL-C<100mg/dL, LDL-C<70mg/dL, and on statins than women with CHD (79% vs. 69%, p<.001; 48% vs. 36%, p<.001; and 73% vs. 67%, p=0.004, respectively). No significant association was observed between LDL-C<100mg/dL and informal caregiving or between paid caregiving and lipid goals or statin use. Having an informal caregiver was associated with having an LDL-C<70mg/dL (p=0.016) which remained significant after adjustment in multivariable models (OR=1.25; 95% CI=1.00–1.56). The multivariable association between informal caregiving and LDL-C was significant among men (OR=1.37; 95%CI=1.04–1.80), but not women. In conclusion, there was a significant association between informal caregiving and LDL-C control that was limited to men with informal caregivers.
Keywords: Gender, Cardiovascular disease prevention, Lipoproteins
Introduction
Low density lipoprotein cholesterol (LDL-C) reduction and statin therapy have proven benefits in the secondary prevention of coronary heart disease (CHD) for both men and women.1–2 Despite this, data consistently show that women with CHD are significantly less likely to reach LDL-C targets or to be on statin therapy compared to their male counterparts.3–8 The reasons for the gender gap remain elusive, and an unexplored mechanism may be differential access to type or quality of caregivers. Informal caregivers, such as family members or friends, are often involved in tasks such as assistance with medications and other preventive care that might be associated with better CHD risk factor control.9–11 Few data have examined whether caregiving is associated with better lipid management, or the gap in evaluating gender disparities. The purpose of this study was to determine whether having a caregiver (paid or informal) was associated with adherence to National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) and American Heart Association (AHA) secondary prevention guidelines for LDL-C goals (<100mg/dL and <70mg/dL) and statin use among hospitalized patients with CHD, and whether the association varied by patient gender.12–13
Methods
This was a cross sectional analysis of 2190 patients who participated in the National Heart Lung and Blood Institute (NHLBI) sponsored Family Cardiac Caregiver Investigation To Evaluate Outcomes (FIT-O) Study who had prior CHD or equivalent, and had a documented LDL-C within 12 months of hospital admission (N=2190, 34% women, 42% racial/ethnic minority). The design and methods of FIT-O have been previously reported.11 Briefly, FIT-O was a prospective cohort study that evaluated patterns of caregiving and the association with clinical outcomes among patients with CHD consecutively admitted to an academic medical center (93% enrollment rate, N=4,500).11,14 Patients who were unable to read or understand English or Spanish, lived in a full-time nursing facility, had a mental status that made them unable to participate, or refused to participate were excluded from the study. Participants with a documented contraindication to statin use were excluded from this analysis. The institutional review board of Columbia University Medical Center (CUMC) approved the study.
Trained bilingual research staff systematically distributed surveys (available in English and Spanish) to participants to determine whether they had a caregiver within the past year or planned to have one following hospital discharge. The definition of caregiving was adapted from the report of the National Alliance of Caregiving and the AARP.15 A caregiver was defined as a person who assists the patient with medical and/or preventative care and was categorized into two groups: 1) paid professional (e.g. nurse or home aide) or 2) informal/nonpaid (e.g. family member or friend).15 If a patient had both a paid and an informal caregiver, she or he was categorized as having a paid caregiver (n=80). Patients who reported having a caregiver in the year prior to hospitalization were classified as a having a caregiver in this analysis.
Admission diagnosis, baseline characteristics, past medical history, and prescription medications were documented by standardized electronic chart review by trained professional research staff. A secure and comprehensive electronic clinical information system at CUMC/New York Presbyterian Hospital (NYPH) was used to access and review patient medical records. Admission diagnosis was classified using the International Classification of Disease, 9th Revision (ICD-9) billing code for admission or primary diagnosis. The definition and classification of CHD equivalent was adapted from the NHLBI ATP III report.16 Patients were classified as having CHD or equivalent if they had an ICD-9 billing code consistent with any of the following: ischemic heart disease, myocardial infarction, prior coronary artery bypass graft surgery, non cardiac atherosclerotic disease, peripheral artery disease, abdominal aortic aneurysm, or diabetes mellitus. Comorbidities were determined based on electronic chart review and a summary Ghali Comorbidity index was calculated (range=0–11). 17
LDL-C values obtained closest to within 24 hours of admission were defined as admission LDL-C. If an admission LDL-C was not available (n=362), LDL-C values from within 1 year of hospital admission date were used. LDL-C was calculated according to the Friedewald equation: LDL-C=Total cholesterol – high density lipoprotein cholesterol – (triglycerides/5).18 Serum total cholesterol, high density lipoprotein cholesterol, and triglycerides (TG) were measured using the Beckman Coulter analyzer in the core laboratory of CUMC/NYPH. The main results were similar when patients with TG≥400mg/dL (n=13) were excluded, so they were retained in the analyses. LDL-C goals and indication for statin use were defined according to ATP III and AHA secondary prevention guidelines and categorized as minimum goal LDL-C<100mg/dL and optional goal LDL-C <70mg/dL, and statin use unless contraindicated.12–13
Standardized questionnaires regarding caregiver status and activities were processed using intelligent character recognition software ExDataPro32, version 8.0.7 (Creative ICR, Beaverton, Oregon) and Image Formula, version Dr-2,580C (Canon US, New York, New York). The data were double checked for errors and stored in a Microsoft Access database (Microsoft, Redmond, Washington). Chi-square tests were conducted to determine the association between having a caregiver (paid or informal) and the baseline characteristics of hospitalized patients with CHD, using a Bonferroni correction for multiple comparisons (p<0.017). The independent associations between caregiving and LDL-C goals and statin use were evaluated using logistic regression adjusted for demographics (age, gender, health insurance status, marital status), Ghali comorbidity index, diabetes, current smoking, being on ≥9 medications, and statin use. Gender stratified analyses and interaction terms were evaluated to assess for effect modification by gender.
Results
Baseline characteristics of participants stratified by caregiver status are shown in Table 1. The mean age of hospitalized patients with CHD was 67+/−12 years. Approximately 34% of the participants were women, and 42% were racial/ethnic minorities. The prevalence of attainment of goal LDL-C <100mg/dL was 76% overall and differed significantly by gender with men being more likely than women to attain goal LDL-C <100mg/dL (p<0.0001), as shown in Figure 1. Similarly, attainment of the more intensive goal LDL-C <70mg/dL which was 44% overall, was more prevalent among men than women (p<0.0001). Overall, 72% of patients in this study were on a statin which also varied significantly by gender with more men than women being on a statin (p=0.004).
Table 1.
Prevalence of Demographic Factors and Comorbidities Among 2190 Patients with CHD Stratified by Caregiver Status
Variable | Have a Paid Caregiver (n=283) [A] | Have an Informal Caregiver (n=596) [B] | Have No Caregiver (n=1311) [C] |
---|---|---|---|
Age≥65 | 220 (78%)B,C | 349 (59%)A | 691 (53%)A |
Men | 132 (47%)B,C | 426 (71%)A | 888 (68%)A |
Minority Race/Ethnicity§ | 130 (51%)C | 242 (44%) | 497 (39%)A |
Not Married¥ | 135 (58%)B,C | 191 (38%)A,C | 500 (45%)A,B |
No Health Insurance | 66 (23%)B,C | 87 (15%)A | 154 (12%)A |
Ghali Co-morbidity index≥1 | 188 (66%)B,C | 277 (47%)A,C | 445 (34%)A,B |
Diabetes Mellitus | 169 (60%)B,C | 302 (51%)A,C | 549 (42%)A,B |
Chronic Renal Disease | 99 (35%)B,C | 127 (21%)A,C | 199 (15%)A,B |
Prior Stroke | 50 (18%)C | 72 (12%)C | 110 (8%)A,B |
Prior Coronary Artery Disease | 109 (39%)B,C | 337 (57%)A,C | 881 (68%)A,B |
Prior Myocardial Infarction | 108 (38%) | 239 (40%)C | 444 (34%)B |
Prior Coronary Artery Bypass Surgery | 86 (30%)C | 155 (26%)C | 249 (19%)A,B |
Prior Peripheral Vascular Disease | 78 (28%)B, C | 104 (17%)A | 177 (14%)A |
Prior Heart Failure | 106 (37%)B,C | 140 (23%)A,C | 189 (14%)A,B |
Chronic Obstructive Pulmonary Disease | 33 (12%)B,C | 40 (7%)A,C | 52 (4%)A, B |
Hypertension (history) | 237 (84%) | 502 (84%) | 1059 (81%) |
Dyslipidemia (history) | 204 (72%) | 423 (71%) | 978 (75%) |
≥9 Medications | 176 (62%)B,C | 256 (43%)A,C | 446 (34%)A,B |
Current Smoker | 12 (4%)B,C | 52 (9%)A | 154 (12%)A |
On Statin at Admission | 212 (75%) | 418 (70%) | 931 (71%) |
Superscript A,B,C denote statistically significant differences between column percentages, significance set at p < 0.017
Missing race/ethnicity information, n = 122
Missing Marital status information, n = 329
Figure 1.
Percentage of Participants at LDL-C Targets and on Statins by Gender
The overall prevalence of caregiving in this population was 40% (13% paid, 27% informal), similar to the larger FIT-O cohort.11 Among men, 13% (n=132) had a paid caregiver and 32% (n=426) had an informal caregiver. Among women, 26% (n=151) had a paid caregiver and 29% (n=170) had an informal caregiver. As outlined in Table 2, having a paid caregiver was not associated with LDL-C goals <100mg/dL or <70mg/dL, or statin use. In contrast, having an informal caregiver was significantly associated with being more likely to be at LDL-C <70mg/dL than having no caregiver (p<.05). There was a non-significant trend that participants with an informal caregiver were more likely than participants without a caregiver to be at LDL-C <100mg/dL, however there was no relation between informal caregiving and statin use.
Table 2.
Odds of LDL-C Goal Attainment and Statin Use by Caregiver Status, Demographics, and Covariates
Variable | Low-Density Lipoprotein Cholesterol (mg/dL)
|
On Statin | |
---|---|---|---|
<100 | <70 | ||
OR (95% CI) | OR (95% CI) | OR (95% CI) | |
| |||
Paid vs. No Caregiver | 1.08 (0.8–1.46) | 0.93 (0.72–1.21) | 1.22 (0.91–1.64) |
Informal vs. No Caregiver | 1.20 (0.95–1.51) | 1.27 (1.05–1.54)‡ | 0.96 (0.78–1.19) |
Age≥65 | 1.38 (1.13–1.68)‡ | 1.33 (1.12–1.58)‡ | 1.23 (1.02–1.48)‡ |
Men | 1.72 (1.41–2.10)† | 1.58 (1.32–1.90)† | 1.33 (1.10–1.61)‡ |
Minority Race | 0.56 (0.46–0.69)† | 0.63 (0.53–0.75)† | 0.73 (0.60–0.88)‡ |
Not Married | 0.56 (0.45–0.69)† | 0.68 (0.57–0.82)† | 0.55 (0.45–0.68)† |
No Health Insurance | 0.51 (0.39–0.66)† | 0.57 (0.44–0.73)† | 0.95 (0.73–1.24) |
Ghali Index≥1 | 1.07 (0.88–1.31) | 1.04 (0.87–1.23) | 1.05 (0.87–1.27) |
Diabetes | 1.24 (1.01–1.51)‡ | 1.21 (1.02–1.43)‡ | 1.44 (1.19–1.73)‡ |
≥9 Medications | 1.80 (1.45–2.22)† | 1.62 (1.36–1.93)† | 2.42 (1.97–2.94)† |
Current Smoker | 0.59 (0.44–0.80)‡ | 0.56 (0.42–0.76)‡ | 0.64 (0.48–0.85)‡ |
On Statin at Admission | 3.83 (3.12–4.72)† | 3.21 (2.61–3.99)† | -- |
p<.0001
p<.05
Significant correlates (p<.05) of LDL-C <70mg/dL were having diabetes mellitus, being on ≥9 medications, older age (≥65 years old), male sex, and being on a statin at admission. Being a racial/ethnic minority, not being married, not having health insurance, and current smoking were significantly associated with being at minimum and intensive LDL-C goals. After adjustment for demographics, comorbidities, and confounders, having an informal caregiver remained significantly associated with being at LDL-C <70mg/dL.
The results of the gender stratified analysis of the association between caregiver status and attainment of LDL-C goals and statin use are presented in Table 3. Among men, having an informal caregiver was significantly associated (p<.05) with being at LDL-C <70mg/dL and there was a non-significant trend of an association between informal caregiving and being at LDL-C <100mg/dL. In contrast, among women there was no association between having an informal caregiver and LDL-C <70 mg/dL or LDL-C <100mg/dL. Table 4 presents the results of the multivariable analysis for informal caregiving and attainment of LDL-C <70mg/dL overall, and according to gender. The relation between informal caregiving and being at intensive goal LDL-C remained significant among men after adjustment.
Table 3.
Association Between Caregiver Status and Attainment of LDL-C Goals and Statin Use
Variable | Low-Density Lipoprotein Cholesterol (mg/dL)
|
On Statin | ||||
---|---|---|---|---|---|---|
<100 | <70 | |||||
| ||||||
Men OR (95% CI) |
Women OR (95% CI) |
Men OR (95% CI) |
Women OR (95% CI) |
Men OR (95% CI) |
Women OR (95% CI) |
|
Paid vs.No Caregiver | 1.27(0.79–2.03) | 1.16(0.77–1.75) | 1.11(0.77–1.60) | 0.91(0.61–1.34) | 1.19(0.77–1.82) | 1.42(0.93–2.14) |
Informalvs. No Caregiver | 1.26(0.94–1.68) | 1.05(0.72–1.55) | 1.35(1.07–1.70) ‡ | 1.04(0.72–1.51) | 0.95(0.73–1.23) | 0.94(0.64–1.36) |
Data are presented as ORs (95% CIs)
p < 0.05
Table 4.
Multivariable Analysis for Having an Informal Caregiver and LDL-C <70mg/dL Overall and Stratified by Gender
Variable | LDL-C < 70mg/dL
|
|||
---|---|---|---|---|
Unadjusted Overall | Fully Adjusted Overall | Fully Adjusted Men | Fully Adjusted Women | |
OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | |
Paid Caregiver vs. No Caregiver | 1.11 (0.77–1.60) | 0.82 (0.58–1.14) | 1.20 (0.76–1.90) | 0.48 (0.29–0.81) ‡ |
Informal Caregiver vs. No Caregiver | 1.27 (1.05–1.54) ‡ | 1.26 (1.00–1.59)‡ | 1.35 (1.03–1.78) ‡ | 1.07 (0.69–1.66) |
Age≥65 | 1.16 (0.94–1.42) | 1.10 (0.86–1.41) | 1.35 (0.91–2.01) | |
Men | 1.48 (1.18–1.86)‡ | -- | -- | |
Minority Race | 0.73 (0.59–0.90)‡ | 0.69 (0.53–0.90) ‡ | 0.85 (0.59–1.22) | |
Not Married | 0.96 (0.78–1.19) | 0.99 (0.76–1.28) | 0.95 (0.66–1.38) | |
No Health Insurance | 0.61 (0.45–0.83)‡ | 0.53 (0.35–0.79) ‡ | 0.77 (0.48–1.23) | |
Ghali Index≥1 | 0.91 (0.74–1.13) | 0.87 (0.67–1.13) | 0.98 (0.68–1.43) | |
Diabetes | 1.03 (0.83–1.27) | 1.04 (0.81–1.35) | 1.00 (0.69–1.46) | |
≥9 Medications | 1.47 (1.18–1.82)‡ | 1.43 (1.10–1.86) ‡ | 1.65 (1.12–2.44) ‡ | |
Current Smoker | 0.79 (0.55–1.12) | 0.64 (0.42–0.97) ‡ | 1.36 (0.72–2.60) | |
On Statin at Admission | 2.66 (2.10–3.38)‡ | 2.37 (1.78–3.16) ‡ | 3.40 (2.21–5.22) ‡ |
Data are presented as ORs (95% CIs)
p < 0.05
Discussion
In this contemporary study of patients hospitalized with CHD, we documented that having an informal caregiver was independently associated with meeting ATPIII and AHA defined secondary prevention goal LDL-C <70mg/dL among men but not among women. We also showed that women were less likely to be at minimum and intensive LDL-C goals and less likely to be on a statin compared to men. To our knowledge, this is the first study examining the association between caregivers and ATP III and AHA defined LDL-C goals for secondary prevention among CHD patients.
Our data documenting baseline gender differences in LDL-C control and statin use among a diverse population of hospitalized CHD patients are consistent with numerous studies that have shown similar gender disparities in various patient groups and care settings. 3–9, 19–21 In a prospective study of a community based cohort of CHD patients sampled from 62 different practices, women had higher baseline LDL-C levels, and also had a lower probability of LDL-C goal attainment after initiation of lipid lowering therapy (median follow up 3.6 years).22 Sambamoorthi et al documented similar disparities among 500,000 veterans with cardiovascular disease (CVD), including 10,582 women: 27% of women versus 17% of men were not at LDL-C goals.5 Chou et al reported that among patients in private managed care plans, women with CVD were considerably less likely to be at established LDL-C goals than their male counterparts (47% vs. 55%, respectively).20
The overall prevalence of LDL-C <100mg/dL and <70mg/dL (76% and 44%, respectively) among patients with CHD in our study, and the observed disparity by gender are consistent with previously published works.8,23 Karalis et al found similar trends in the overall and gender specific prevalence of LDL-C <100mg/dL (79% overall: 83% men vs. 73% women) and LDL-C <70mg/dL (35% overall: 38% men vs. 31% women) among 10,040 patients with established coronary artery disease seen in a large outpatient cardiology practice.23 Our findings that participants with more CVD risk factors were more likely to be at LDL-C goal and on a statin are consistent with prior studies that show that those who are perceived to be higher risk may be treated more aggressively,22 or may have more advanced CVD which has been associated with having non-pharmaceutically lowered cholesterol levels.24
Lipid control is multi-factorial and dependent upon various patient, provider, and health care system factors which could provide alternative explanations for our results.25 Appropriate screening, prescription of appropriate therapy and titration/escalation of medical therapy when indicated, as well as adequate education on diet and lifestyle are all examples of provider factors that have been shown to vary by patient gender.5 Several studies have documented that women with CHD may be inadequately screened and/or sub optimally treated according to established guidelines.26,27
An important limitation of current reports on gender disparities in LDL-C control and statin use, is that many studies have not been designed to examine patient, provider, and health care system factors at the same time. However, in a recent study of 3,500 patients with CVD, Turner et al demonstrated that even when simultaneously controlling for patient, provider, and health care system factors known to be associated with gender disparities in lipid control and statin use, women were still significantly less likely than men to reach LDL-C goals. 21 These data emphasize the importance of examining previously unexplored factors such as caregiving and their potential role in gender disparities in LDL-C control and statin use.
The finding that having an informal caregiver was associated with achieving LDL-C intensive goal among CHD patients may reflect participation of informal caregivers in assistance with medication adherence. Previous studies among cardiac patients have shown that having an informal caregiver is associated with adherence to medications as well as other important behaviors such as compliance with physician visit follow up and diet. 28 Alternatively, the observed association between informal caregiving and LDL-C <70 mg/dL goal attainment could reflect advanced illness among patients with caregivers, as low LDL-C may be seen among patients with advanced CVD,24,29 and patients with more advanced disease are more likely to have caregivers.9
Strengths of this study include the significant representation of women and racial/ethnic minorities and the high participation with consecutive nature of enrollment that contribute to the generalizability of the results. The observational study design limits our ability to determine cause and effect. Caregiver status was based on self report and there may have been misclassification, however systematic assessment methods reduced the likelihood that misclassification would be differential by caregiver status and therefore results would have been biased towards the null. We did not evaluate lifestyle strategies such as diet and exercise for LDL-C control which may have contributed to gender disparities in LDL-C goal attainment, which should be considered in future studies.
Acknowledgments
Grant Support:
This study was supported by the National Heart, Lung, and Blood Institute (2RO1 HL075101 and K24 HL076346, principal investigator Dr. Mosca). New York, NY, USA. Drs. Hammond and Mochari-Greenberger were supported by NIH T32 training grants (HL007343), New York, NY USA.
Footnotes
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.Kotis WJ, Cheng TA, Dobrzynski JM, Cabrera J, Kotis JB. Meta-analysis of statin effects in women versus men. J Am Coll Cardiol. 2012;59:572–582. doi: 10.1016/j.jacc.2011.09.067. [DOI] [PubMed] [Google Scholar]
- 2.Tzimalos K, Kakafika Al, Athyros VG, Karagiannis A, Mikhailidis DP. The role of statins for the primary and secondary prevention of coronary heart disease in women. Curr Pharm Des. 2009;15:1054–1062. doi: 10.2174/138161209787846946. [DOI] [PubMed] [Google Scholar]
- 3.Ferrara A, Mangione CM, Kim C, Kim C, Marrero DG, Curb D, Stevens M, Selby JV. Sex disparities in control and treatment of modifiable cardiovascular disease risk factors among patients with diabetes: Translating Research into Action for Diabetes (TRIAD) Study. Diabetes Care. 2008;31:69–74. doi: 10.2337/dc07-1244. [DOI] [PubMed] [Google Scholar]
- 4.Mosca L, Merz NB, Blumenthal RS, Cziraky MJ, Fanunmi RP, Sarawate C, Watson KE, Willey VJ, Stanek EJ. Opportunity for intervention to achieve American Heart Association guidelines for optimal lipid levels in high-risk women in a managed care setting. Circulation. 2005;111:488–493. doi: 10.1161/01.CIR.0000153859.66086.85. [DOI] [PubMed] [Google Scholar]
- 5.Sambamoorthi U, Mitra S, Findley PA, Pogach LM. Women Health Iss: official publication of the Jacobs Institute of Women’s Health. 2012. Decomposing gender differences in low-density lipoprotein cholesterol among veterans with or at risk for cardiovascular illness; pp. 22e201–208. [DOI] [PubMed] [Google Scholar]
- 6.Spinarova L, Spinar J, Vitovec J, Linhart A, Widimsky P, Fedorca M, Malek F, Cihalik C, Miklik R, Dusek L, Zidova K, Jarkovsky J, Littnerova S, Parenica J. Gender differences in total cholesterol levels in patients with acute heart failure and its importance for short and long term prognosis. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2012;156:21–8. doi: 10.5507/bp.2012.015. [DOI] [PubMed] [Google Scholar]
- 7.O’Meara JG, Kardia SL, Armon JJ, Brown CA, Bowerwinkle E, Turner ST. Ethnic and sex differences in the prevalence, treatment, and control of dyslipidemia among hypertensive adults in the GENOA study. Arch Intern Med. 2004;164:1313–1318. doi: 10.1001/archinte.164.12.1313. [DOI] [PubMed] [Google Scholar]
- 8.Santos RD, Waters D, Tarasenko L, Messig M, Jukema JW, Ferrières J, Verdejo J, Chiang CW. Low- and high-density lipoprotein cholesterol goal attainment in dyslipidemic women: The Lipid Treatment Assessment Project (L-TAP) 2. Am Heart J. 2009;158:860–866. doi: 10.1016/j.ahj.2009.08.009. [DOI] [PubMed] [Google Scholar]
- 9.Kang X, Li Z, Nolan MT. Informal caregivers’ experiences of caring for patients with chronic heart failure: systematic review and metasynthesis of qualitative studies. Journal of Cardiovascular Nursing. 2011;26:386–394. doi: 10.1097/JCN.0b013e3182076a69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Madan SK, Shishani K, Froelicher ES. Psychosocial concerns and interventions for patients and their identified support givers to help cope with acute manifestations of advances coronary artery diseases. J Cardiovasc Nurs. 2012;27:132–146. doi: 10.1097/JCN.0b013e318239f647. [DOI] [PubMed] [Google Scholar]
- 11.Mosca L, Mochari-Greenberger H, Aggarwal B, Liao M, Suero-Tejeda N, Comellas M, Reahm L, Umann T, Mehran R. Patterns of Caregiving Among Patients Hospitalized with Cardiovascular Disease. J Cardiovasc Nurs. 2011;26:305–311. doi: 10.1097/JCN.0b013e3181f34bb3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Grundy SM, Cleeman JI, Merz CNB, Brewer HB, Jr, Clark LT, Hunningshake DB, Pasternak RC, Smith SC, Jr, Stone NJ for the Coordinating Committee of the National Cholesterol Education Program. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel Guidelines. Circulation. 2004;110:227–239. doi: 10.1161/01.CIR.0000133317.49796.0E. [DOI] [PubMed] [Google Scholar]
- 13.Smith SC, Jr, Allen J, Blair SN, Bonow RO, Brass LM, Fonarow GC, Grundy SM, Hiratzka L, Jones D, Krumholz HM, Mosca L, Pearson T, Pfeffer MA, Taubert KA AHA; ACC; National Heart, Lung, and Blood Institute. AHA/ACC guidelines for secondary prevention for patients with coronary and other atherosclerotic vascular disease: 2006 update endorsed by the National Heart, Lung, and Blood Institute. J Am Coll Cardiol. 2006;47:2130–2139. doi: 10.1016/j.jacc.2006.04.026. [DOI] [PubMed] [Google Scholar]
- 14.Mosca L, Aggarwal B, Mochari-Greenberger H, Liao M, Blair J, Cheng B, Comellas M, Rehm L, Suero-Tejeda N, Umann T. Association Between Having a Caregiver and Clinical Outcomes 1 Year After Hospitalization for Cardiovascular Disease. Am J Cardiol. 2012;109:135–139. doi: 10.1016/j.amjcard.2011.07.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.National Alliance for caregiving and AARP. [Accessed January 10,2012];Caregiving in the US. 2009 http://www.caregiving.org/data/Caregiving_in_the_US_2009_full_report.pdf.
- 16.Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106:3143–3421. [PubMed] [Google Scholar]
- 17.Ghali WA, Hall RE, Rosen AK, Ash AS, Moskowitz MA. Searching for an improved clinical comorbidity index for use with ICD-9 CM administrative data. J Clin Epidemiol. 1996;49:273–278. doi: 10.1016/0895-4356(95)00564-1. [DOI] [PubMed] [Google Scholar]
- 18.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502. [PubMed] [Google Scholar]
- 19.Chou AF, Brown AF, Jensen RE, Shih S, Pawlson G, Scholle SH. Gender and racial disparities in the management of diabetes mellitus among Medicare patients. Women Health Iss: official publication of the Jacobs Institute of Women’s Health. 2006;17:150–161. doi: 10.1016/j.whi.2007.03.003. [DOI] [PubMed] [Google Scholar]
- 20.Chou AF, Scholle SH, Weisman CS, Bierman AS, Correa-de-Araujo R, Mosca L. Gender disparities in the quality of cardiovascular disease care in private managed care plans. Women Health Iss: official publication of the Jacobs Institute of Women’s Health. 2007;17:120–130. doi: 10.1016/j.whi.2007.03.002. [DOI] [PubMed] [Google Scholar]
- 21.Turner BJ, Hollenbeak CS, Weiner M, Tang S. A retrospective cohort study of the potency of lipid-lowering therapy and race-gender differences in LDL cholesterol control. BMC Cardiovasc Disord. 2011;11:58. doi: 10.1186/1471-2261-11-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Krobot KJ, Yin DD, Alemao E, Steinhagen-Thiessen E. Real-world effectiveness of lipid- lowering therapy in male and female outpatients with coronary heart disease: relation to pre-treatment low-density lipoprotein-cholesterol, pre-treatment coronary heart disease risk, and other factors. Eur J Cardiovasc Prev Rehabil. 2005;12:37–45. [PubMed] [Google Scholar]
- 23.Karalis DG, Subramanya RD, Hessen SE, Liu L, Victor MF. Achieving optimal lipid goals in patients with coronary artery disease. Am J Cardiol. 2011;107:886–890. doi: 10.1016/j.amjcard.2010.11.006. [DOI] [PubMed] [Google Scholar]
- 24.Horwich TB, Hamilton MA, Maclellan WR, Fonarow GC. Low serum total cholesterol is associated with marked increase in mortality in advanced heart failure. J Card Fail. 2002;8:126–224. doi: 10.1054/jcaf.2002.0804216. [DOI] [PubMed] [Google Scholar]
- 25.Chan DC, Shrank WH, Cutler D, Jan S, Fischer MA, Liu J, Avorn J, Solomon D, Brookhart MA, Choudhry NK. Patient, physician and payment predictors of statin adherence. Med Care. 2012;48:196–202. doi: 10.1097/MLR.0b013e3181c132ad. [DOI] [PubMed] [Google Scholar]
- 26.Nau DP, Mallya U. Sex disparity in the management of dyslipidemia among patients with type 2 diabetes mellitus in a managed care organization. Am J Manag Care. 2005;11:69–73. [PubMed] [Google Scholar]
- 27.Cabana MD, Kim C. Physician adherence to preventive cardiology guidelines for women. Women Health Iss: official publication of the Jacobs Institute of Women’s Health. 2003;13:142–149. doi: 10.1016/s1049-3867(03)00034-3. [DOI] [PubMed] [Google Scholar]
- 28.Rolley J, Smith J, DiGiacomo M, Salamonson Y, Davidson R. The caregiving role following percutaneous coronary intervention. J Clin Nurs. 2011;20:227–235. doi: 10.1111/j.1365-2702.2009.03104.x. [DOI] [PubMed] [Google Scholar]
- 29.Liu Y, Coresh J, Eustace JA, Longenecker JC, Jaar B, Fink NE, Tracy RP, Powe NR, Klag MJ. Association between cholesterol level and mortality in dialysis patients: role of inflammation and malnutrition. JAMA. 2004;291:451–459. doi: 10.1001/jama.291.4.451. [DOI] [PubMed] [Google Scholar]