Figures
Abstract
Conventional wisdom supports prescribing “fibrates before statins”, that is, prioritizing treatment of hypertriglyceridemia (hTG) to prevent pancreatitis ahead of low-density lipoprotein cholesterol to prevent coronary heart disease. The relationship between hTG and acute pancreatitis, however, may not support this approach to clinical management. This study analyzed administrative data from the Veterans Health Administration for evidence of (1) temporal association between assessed triglycerides level and days to acute pancreatitis admission; (2) association between hTG and outcomes in the year after hospitalization for acute pancreatitis; (3) relative rates of prescription of fibrates vs statins in patients with acute pancreatitis; (4) association of prescription of fibrates alone versus fibrates with statins or statins alone with rates of adverse outcomes after hospitalization for acute pancreatitis. Only modest association was found between above-normal or extremely high triglycerides and time until acute pancreatitis. CHD/MI/stroke occurred in 23% in the year following AP, supporting cardiovascular risk management. Fibrates were prescribed less often than statins, defying conventional wisdom, but the high rates of cardiovascular events in the year following AP support a clinical focus on reducing cardiovascular risk factors.
Citation: Copeland LA, Swendsen CS, Sears DM, MacCarthy AA, McNeal CJ (2018) Association between triglyceride levels and cardiovascular disease in patients with acute pancreatitis. PLoS ONE 13(1): e0179998. https://doi.org/10.1371/journal.pone.0179998
Editor: Zoltán Rakonczay Jr., University of Szeged, HUNGARY
Received: February 13, 2017; Accepted: June 7, 2017; Published: January 30, 2018
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Data Availability: The authors do not have the right/permission to make any data available; access to all VA data is controlled by VA data security policies. The source data from which the study were derived are available for individuals who meet the criteria for access, and de-identified data may be requested from Christopher.Vaca@va.gov.
Funding: This study was supported by Scott & White Research Mentor Award #150103, awarded to LAC & CSS, http://researchers.sw.org/academic-research-development/internal-funding; and Veterans Health Administration HX-09-335, awarded to LAC, http://www.hsrd.research.va.gov/funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors LAC, CSS, DS, and CJM are employed by Baylor Scott & White Health, a private not-for-profit health care system. LAC and CSS were awarded a small research grant ($3,000) by Baylor Scott & White Health to help support the salary of a data manager. Baylor Scott & White Health had no role in this study beyond helping support the salaries of these researchers.
Competing interests: LAC is employed by Veterans Health Administration and has been awarded grant funds from Veterans Health Administration, NIMH, Commonwealth Fund, and Mallinckrodt Pharmaceuticals, given to her institution to support her salary. AAM is employed by Veterans Health Administration. CSS, DMS, CJM, and LAC are employed by Baylor Scott & White Health. The author LAC’s salary is partially supported by a research award from Mallinckrodt Pharmaceuticals for her contributions to a study of opioid-related adverse events among surgery inpatients being conducted at Baylor Scott & White Health (August 2016-August 2017). There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.
Introduction
Lederle et al. noted that the risk of acute pancreatitis (AP) attributable to hypertriglyceridemia (hTG) and the extent to which hTG is an epiphenomenon rather than a cause of AP, raised critical questions that have not been answered despite longstanding guidelines emphasizing the need to treat hTG to prevent AP [1]. In addition, research suggests that statins and not fibrates may better reduce the risk of AP in patients with hTG due to favorable changes in cholesterol-associated gallstone formation [2]. Alcohol abuse and gallstone disease account for approximately 80% of AP, with hTG estimated to contribute 3–10% [3]. Despite the low risk of hTG-induced pancreatitis [4], lipid guidelines for primary and secondary prevention of cardiovascular disease (CVD) recommend as a first step, triglyceride-lowering therapy (i.e., fibrate) rather than statin therapy in patients with hTG >500 mg/dL to prevent hTG-associated pancreatitis[5] although greater risk of pancreatitis may be associated with levels well above 2000 mg/dL [6,7].
To understand the relationships among hTG, AP, lipid-lowering drugs (LLRx), and CVD outcomes among patients with acute pancreatitis, we analyzed data from a large, integrated health care system, the Veterans Health Administration (VA), to determine the following: (1) the temporal association between days to AP admission and TG level; (2) associations between high TG and adverse outcomes after AP admission (1-year mortality; gall bladder disease; stroke; coronary heart disease (CHD); coronary artery bypass graft (CABG); and percutaneous intervention (PCI); (3) relative rates of prescription of fibrates vs statins in patients with AP; (4) association of prescription of fibrates alone rather than fibrates with statins or statins alone with rates of adverse outcomes following AP. We expected a negative correlation between lag to AP admission and TG level and anticipated positive associations between adverse outcomes and both very high TG and use of fibrates alone.
Materials and methods
Data source and sample
The Institutional Review Boards of the Central Texas Veterans Health Care System and of the VA Central Western Massachusetts Healthcare System approved the study using an expedited review and waiver of informed consent. The Scott & White Memorial Hospital Institutional Review Board exempted the study from oversight at Baylor Scott & White. Data were extracted from the STOPP data repository, a collection of administrative extracts from the VA’s all-electronic medical records system (EMR) on all patients treated during fiscal years 2006–2009 (FY2006-FY2009; Oct 2005-Sep 2009) [8] and from the VA’s Corporate Data Warehouse. Variables included dates and types of care, diagnoses, procedures, prescription medications, lab test results, outpatient care, and admission and inpatient stay details on 7 million veterans of US military service using the Veterans Health Administration for care. Administrative data are reported nightly from all facility EMR’s across the VA system and cumulated in the Corporate Data Warehouse and related files, accessible for research purposes via a secure VA intranet environment after IRB approval.
Inclusion criteria were age 18 years or older, veterans granted VA Priority 1–8 indicating eligibility for VA care based on military service or disability or poverty, valid triglycerides lab data, and admitted for AP during FY2006-FY2009. For patients with multiple qualifying admissions, their first during the observation period was used.
Measures
Variables assessed age, race, ethnicity, gender, marital status, and utilization (lab results; hospital admission; timing of care) as well as risk adjustment measures including mental and physical illnesses and the Charlson Comorbidity Index of conditions associated with post-discharge one-year mortality calculated without the two cancer measures (retained as separate indicators) [9,10].
The inclusion criterion for AP was defined by International Classification of Diseases 9th Edition (ICD9) diagnosis code 577.0 during an inpatient admission; chronic pancreatitis was defined by ICD9 code 577.1 (inpatient or outpatient diagnosis). The date of first AP admission during the observation period was the index date for each patient. Covariates included TG level, the maximum recorded lab result on the date closest to AP admission in the year prior to AP admission through the first week prior to admission. Lag between TG values and AP admission was determined in days, also categorized into quarters (9 to 12 months prior, 6 to 9 months prior, 3 to 6 months prior, and 0 to 3 months prior through 7 days pre-admission). TG values from -7 through +7 days were captured to examine hTG at the time of hospitalization for AP, in “month 0”. Based on American Heart Association guidelines published by Miller et al. 2011, TG values <150 mg/dL are categorized as normal, 150–199 mg/dL are borderline, 200–500 are very high [11]. However, the lack of evidence supporting the definition of 500+ as critically high led us to recategorize TG values for analysis as follows: <200 (normal/borderline), 200–499, 500–999, 1000–1999, 2000+; dichotomies of below and above 500, 1000, and 2000 were also created.
To ascertain and adjust for baseline comorbidity, the Charlson Comorbidity Index and other relevant disorders were assessed from International Classification of Diseases 9th Edition (ICD-9) diagnoses recorded in the 365 days prior to AP admission. Conditions and the corresponding ICD-9 codes included the Charlson conditions of myocardial infarction (AMI; 410, 412), chronic heart failure (428), peripheral vascular disease, stroke (430–438), dementia (290), chronic obstructive pulmonary disease (490–496, 501–506.4), rheumatologic disease (710.0, 710.1, 710.4, 714.0, 714.1, 714.2, 714.81, 725), peptic ulcer (531–534), cirrhosis of the liver (571.2, 571.4, 571.5, 571.6), liver failure (572.2–572.8, 456.0, 456.1, 456.20, 456.21), diabetes (250), hemi/paraplegia (342, 344.1), chronic kidney disease (582–583, 585–586, 588), cancers (140–172, 174–195, 200–208), metastatic cancers (196, 197, 198, 199), AIDS (042–044); as well as CHD (414), gall bladder disease (574, 575, 576), osteoporosis (733), hypertension (401–405), hypothyroidism (244), and vitamin D deficiency (268). Additional conditions were assessed to understand variability in risk. Previous research has noted differences in post-hospitalization health outcomes for veterans with mental and behavioral disorders [8]. Alcohol disorders were indicated by ICD-9 diagnoses of 291, 303, or 305.0. Serious mental illnesses as defined by the VA [12] were major depressive disorder (MDD; 296.2, 296.3, 311), posttraumatic stress disorder (PTSD; 309.81), and psychotic disorders (bipolar disorder, 296.0–296.1, 296.4–296.8; and schizophrenia, 295). Prior-year AP admission during the 365 days before the index admission was identified from inpatient data. Prescription drug use was noted for statins, fibrates, and other lipid-lowering medications (LLRx) prescribed for at least 60 days in the 45–75 days prior to admission (see S1 Appendix).
Dependent variables
Adverse outcomes of acute pancreatitis include recurrent gall bladder disease and multiple organ failure and death; risks from uncontrolled lipids (primarily LDL-cholesterol) include coronary heart disease, stroke, and myocardial infarct. Outcomes in the 365 days after the index AP admission date therefore included gallbladder disease, cardiovascular disease (CVD) events and related procedures (CHD, stroke, MI, PCI, CABG), and death within 1 year post-AP (see S1 Appendix).
Analysis
To address the first aim, maximum TG level was graphed by month prior to AP admission to show temporal relationship of elevated TG with acute AP exacerbation. A Cox proportional hazards model estimated the association between TG level and time from TG assessment to AP admission adjusting for demographic and clinical covariates. To address the third aim regarding treatment with fibrates or statins, chi-square analysis assessed frequencies of and bivariate associations between receipt of fibrate, statins, or both and TG level. To address the second and fourth aims regarding adverse outcomes associated with LLRx patterns and outcomes following AP hospitalization, multivariable logistic regression modeled the association of LLRx treatment (fibrate-alone, statin+fibrate, statins-alone, neither fibrate nor statins and other LLRx (e.g., ezetimibe, niacin) and TG level with post-AP adverse events (gall bladder disorders, CHD, stroke, MI, PCI but not CABG as it was too rare to model), any of those clinical outcomes, one-year mortality, and the combined outcome (any adverse clinical outcome or death). The models were repeated on the subsample without alcohol or gall bladder disorders diagnosed pre- or post-AP.
Results
The cohort of 20,608 veterans with AP during FY2006-FY2009 included 19,778 males (96%), age 21–97 (mean: 60.4, SD: 12.2), of whom 27% were black, 3% Asian/other; 7% were Hispanic; 40% were married (see Table 1). About one-third had diagnosis of either alcohol or gall bladder disorders (6,336; 31%). Comorbidity levels in the baseline pre-AP year averaged 2.0 (SD 2.1) on the adapted Charlson index of mortal conditions (omitting cancer measures); the most common physical disorders were hypertension (77%), dyslipidemia (56%), and diabetes (40%). Gall bladder disorders characterized 6%; 13.1% had cancer and 2.6% had metastatic solid tumor (13.4% had either or both). Regarding behavioral and mental disorders, about one-quarter (25%) had an alcohol use disorder, 33% were depressed, 15% had PTSD, and 10% had a psychotic disorder. In the year following AP admission, 36% of patients had an adverse clinical outcome (MI, CHD, stroke, CABG, PCI), and 13% of patients died including 14% of those without alcohol or gall bladder disorders.
Bivariate associations
Association between hypertriglyceridemia and adverse outcomes.
Increasing TG level in the year prior to AP admission was associated with decreasing 1-year mortality in unadjusted analysis (Mantel-Haenszel chi-square test-for-trend 119.5, df = 1, p < .0001) with 15% of patients in the lowest category (TG<200) dying within one year, 8% with TG 200–499 mg/dL and decreasing percentages to 4% for those in the highest category (TG 2000 or higher). Age correlated slightly negatively with TG level meaning younger patients had relatively higher TG (r = -0.14; p < .0001).
Association between TG level and days until admission.
The number of days to AP admission from TG assessment varied significantly by TG level with shorter lag to admission among those with very high TG, ranging from 108.5 days for TG<200 to 90.9 days for TG 1000–1999 and 54.5 days for TG of 2000+ (F = 23.8; df = 4, 20603; p < .0001). Overall, TG level correlated modestly and negatively with days until admission for acute pancreatitis (r = -.07; p < .0001; see Fig 1), consistent with a temporal relationship between TG level and risk of AP assuming TG levels continued to increase between last lab test and AP admission. The adjusted Cox model estimated a small positive association between days from TG assay to AP admission and hTG (TG of 2000 mg/dL or more; HR = 1.38 95%CI 1.16–1.63) but not with lesser levels of elevated TG, in the range 200–1999 mg/dL.
Relative rates of prescription of fibrates vs statins.
Most patients with AP were not taking LLRx prior to their admission for AP: 24% were on statins, 5% fibrates including 2% on both drugs, and 3% were on other LLRx. Thus, fibrates were less commonly prescribed than statins in patients hospitalized for AP. Patients with above-borderline/normal TG levels were more likely to be on fibrates only (65% of 614) or both fibrates and statins (61% of 498) than on neither (26% of 14,977) or statins only (30% of 4,519; chi-square 724.4; p < .0001). However, only 5% of all AP patients were in the fibrates-treated groups.
Multivariable models
Association of prescription pattern with adverse outcomes.
Controlling for demographics, prior-year acute pancreatitis, lag between TG assay and AP admission, Charlson comorbidity and cancers, alcohol and psychiatric disorders, hypertension, dyslipidemia, and prescribed LLRx, elevated triglyceride levels—as opposed to normal/borderline levels—were significantly inversely related to post-AP gall bladder disease, one-year mortality, CHD, and the combined clinical outcome as well as the combined clinical and mortality outcome; odds ratios ranged from 0.29 to 0.91 (see Table 2). Statins and fibrates were inversely associated with 1-year mortality, but were risk factors in the models of other clinical outcomes. Triglyceride level was not significantly related to the post-AP outcomes of stroke, MI, or PCI.
Among those without alcohol or gall bladder disorders, risk of 1-year mortality was lower for those with elevated TG (results not shown). The models of MI, CHD, and stroke found no association with TG level. The combined cardiovascular outcome showed decreased risk associated with fibrates and increased risk associated with statins and other LLRx, at modest levels.
Discussion
Our examination of patient data from the year prior to admission with AP through the year following admission found little supportive evidence that “fibrates before statins” in patients with elevated TG, 200 mg/dL or higher, was a meaningful strategy. The patients studied were veterans of military service, mostly males and highly comorbid, therefore the results observed may not apply to women or patients in private healthcare systems. Patients may have had lipid assays or care in other healthcare systems leading to underreporting. Increasing TG level did appear to be weakly associated with admission for AP but generally speaking not with subsequent adverse outcomes. Rather, the inverse association between elevated TG and post-AP death or cardiovascular outcomes suggests that addressing risk factors for cardiovascular outcomes would be a better focus of care than lowering TG. The use of statins, fibrates, and other lipid-lowering drugs did not appear to follow the expected pattern–“fibrates before statins”—and appeared to serve mainly to identify patients at elevated risk of MI, CHD, stroke, PCI, or CABG.
Acknowledgments
This study was supported by the Veterans Health Administration. The views are those of the authors and do not necessarily reflect the views of the Department of Veterans Affairs.
Author Contributions
- Conceptualization: CJM CSS LAC.
- Data curation: LAC AAM.
- Formal analysis: LAC AAM.
- Funding acquisition: LAC CSS.
- Investigation: LAC CSS DMS CJM.
- Methodology: LAC CJM CSS.
- Project administration: LAC.
- Resources: LAC DMS AAM.
- Supervision: LAC DMS.
- Validation: LAC AAM.
- Visualization: LAC CSS.
- Writing – original draft: LAC CSS.
- Writing – review & editing: LAC CSS DMS AAM CJM.
References
- 1. Lederle FA, Bloomfield HE. Drug Treatment of Asymptomatic Hypertriglyceridemia to Prevent Pancreatitis: Where is the Evidence? Ann Intern Med 2012; 157: 662–664.
- 2. Kushner PA, Cobble ME. Hypertriglyceridemia: the importance of identifying patients at risk. Postgrad Med 2016; 128(8): 848–58. pmid:27710158
- 3. Ewald N, Hardt PD, Kloer HU. Severe hypertriglyceridemia and pancreatitis: presentation and management. Curr Opin Lipidol. 2009 Dec;20(6):497–504. pmid:19770656
- 4. Third Report of the National Cholesterol Education Program (NECP) on the Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation 2002;106:3143–421. pmid:12485966
- 5. Berglund L, Brunzell JD, Goldberg AC, Goldberg IJ, Sacks F, Murad MH, et al. Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline. J Clin Endol Metab 97(9):2969–2989. pmid:22962670
- 6. Wang SH, Chou YC, Shangkuan WC, Wei KY, Pan YH, Lin HC. Relationship between plasma triglyceride level and severity of hypertriglyceridemic pancreatitis. PLoS One. 2016 Oct 11;11(10):e0163984. pmid:27727299
- 7. Pederson SB, Langsted A, Nordestgaard BG. Nonfasting mild-to-moderate hypertriglyceridemia and risk of acute pancreatitis. JAMA Intern Med. 2016;176(12):1834–1842. pmid:27820614
- 8. Copeland LA, Zeber JE, Sako EY, Mortensen EM, Pugh MJ, Wang CP, et al. Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration. BMC Surg 2015 Jun 18;15:74. pmid:26084521
- 9. Charlson ME, Pompei P, Ales KA, MacKenzie CR. “A new method of classifying prognostic comorbidity in longitudinal studies: development and validation,” J Chronic Dis. 1987;40:373–383. pmid:3558716
- 10. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9. pmid:1607900
- 11. Miller M, Stone NJ, Ballantyne C, Bittner V, Criqui MH, Ginsberg HN, et al. Triglycerides and cardiovascular disease. Circulation 2011; 123(20):2292–2333. Available at: http://circ.ahajournals.org. pmid:21502576
- 12.
Veterans Health Administration, VHA Directive 2012–002 Re-engaging Veterans with Serious Mental Illness in Treatment, http://www1.va.gov/vhapublications/ViewPublication.asp?pub_ID=2476