Lipoprotein-associated phospholipase A2 (LpPLA2) levels are associated with stroke, though whether this extends to all populations and stroke subtypes is unknown.
Serum samples from stroke-free community participants in the Northern Manhattan Study were assayed for LpPLA2 mass and activity. Participants were followed annually for stroke. Cox-proportional-hazard models were fitted to estimate hazard-ratios and 95% confidence intervals (HR, 95% CI) for the association of LpPLA2 levels with ischemic stroke (IS), after adjusting for demographic and medical risk factors.
Serum samples were available in 1946 participants, of whom 151 (7.8%) experienced a first IS during median follow-up 11 years. Mean age was 69 (SD 10), 35.6% were men, 20% non-Hispanic Whites, 22% non-Hispanic Blacks, and 55% Hispanics. LpPLA2 mass and activity levels were not associated with overall IS risk.
LpPLA2 mass but not activity levels were associated with strokes due to large artery atherosclerosis (LAA; adjusted HR per SD 1.55, 95% CI 1.17–2.04). There was a dose-response relationship with LAA (compared to first quartile, 2nd quartile HR = 1.43, 95% CI 0.23–8.64; 3rd quartile HR = 4.47, 95% CI 0.93–21.54; 4th quartile HR = 5.07, 95% CI 1.07–24.06). The associations between LpPLA2-mass and LAA-stroke risk differed by race-ethnicity (p = 0.01); LpPLA2-mass was associated with increased risk of LAA among non-Hispanic Whites (adjusted HR per SD 1.44, 95% CI 0.98–2.11), but not other race-ethnic groups.
Citation: Katan M, Moon YP, Paik MC, Wolfert RL, Sacco RL, Elkind MSV (2014) Lipoprotein-Associated Phospholipase A2 Is Associated with Atherosclerotic Stroke Risk: The Northern Manhattan Study. PLoS ONE 9(1): e83393. https://doi.org/10.1371/journal.pone.0083393
Editor: Stefan Kiechl, Innsbruck Medical University, Austria
Received: May 9, 2013; Accepted: November 4, 2013; Published: January 9, 2014
Copyright: © 2014 Katan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Funding: This work was supported by the National Institutes of Health/National Institute of Neurological Disorders and Stroke (R37 NS 29993 [RLS/MSVE] and R01 NS 48134 [MSVE]) and the Swiss National Science Foundation (PBZHP3-130982 [MK] as well as the Fondation Leduqc [MK]). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have read the journals policy and have the following disclosures: Dr. Katan has received an unconditional research grant form BRAHMS part of Thermo Fisher Scientific up to 2011. Ms Yeseon P. Moon has no disclosures. Dr. Myunghee C. Paik has no disclosures. Dr. Wolfert is a former employee of diaDexus, manufacturer of the PLAC Test for Lp-PLA2. Dr. Ralph Sacco received research support from NINDS for the Northern Manhattan Study (R37 NS 29993) and support from the Evelyn McKnight Brain Institute. Dr. Elkind receives compensation for serving on an event adjudication committee for Jarvik Heart; receives research support from diaDexus, Inc., Bristol-Myers Squibb/Sanofi Pharmaceuticals Partnership, and the NIH/NINDS; has given expert legal opinions on behalf of Organon (NuvaRing® and stroke litigation) and GlaxoSmithKline (Avandia® and stroke litigation); and serves as Resident and Fellow Section Editor for Neurology, for which he receives compensation from the AAN. This does not alter their adherence to all the PLOS ONE policies on sharing data and materials.
Stroke is the fourth leading cause of death in the United States and the leading cause of functional impairment . Because stroke is largely preventable, tailoring treatment based on estimated risk may target therapies to high-risk patients and reduce burden of disease. For this purpose, the measurement of soluble biomarkers, which indicate underlying subclinical pathological processes, could be an important adjunct to traditional risk assessment. A highly promising candidate biomarker for risk stratification is lipoprotein-associated phospholipase A2 (LpPLA2).
Experimental data indicates that LpPLA2 has important pro-inflammatory effects specifically affecting vessel walls . Clinical data using intravascular ultrasound suggests that elevated levels and increased activity of LpPLA2 are related to the progression of atherosclerotic disease . Levels of LpPLA2 mass and activity were strongly associated with increased risk of cardiovascular events (either MI or composite endpoints) in several large cohort studies and meta-analyses . Darapladib, a potential therapeutic agent specifically targeting LpPLA2 activity, is currently under investigation as a treatment administered after acute coronary syndromes and for stable coronary disease , .
Compared to the plethora of studies concerning LpPLA2 and cardiovascular events, only a few population-based studies have specifically addressed the association of LpPLA2 mass and activity and ischemic stroke as a primary outcome. The available data suggests that among those without a history of stroke, the risk of stroke is approximately doubled among those with the highest levels of LpPLA2, compared to those with the lowest levels . The risk of recurrent stroke is similarly elevated among those with a first stroke , .
We hypothesized that LpPLA2 levels would be associated with stroke risk in the stroke-free population of Northern Manhattan, and we further sought to determine whether associations differed by race-ethnicity and stroke subtype.
This study received approval from the institutional review boards at Columbia University Medical Center and the University of Miami, and all participants directly or through a surrogate when appropriate, gave their written informed consent for the study.
The Northern Manhattan Stroke (NOMAS) study is a prospective, population-based cohort study consisting of 3298 stroke-free multiethnic participants enrolled between 1993–2001. The primary goals of the study were to describe the prevalence of vascular risk factors and incidence of vascular outcomes in a community-based sample of a racially and ethnically diverse population, as previously described . Briefly, participants were ≥40 years at enrollment and resided in northern Manhattan, New York. The race/ethnic distribution of this cohort consists of 63% Hispanics, 20% non-Hispanic Black, and 15% non-Hispanic White residents.
Participants underwent a thorough baseline examination including comprehensive medical history, physical examination, review of medical records, and fasting blood samples, as previously described . Trained bilingual research assistants performed interviews; study physicians conducted physical and neurological examinations. To assess medical history, standardized questions were adapted from the Behavioral Risk Factor Surveillance System by the Centers for Disease Control and Prevention . Race-ethnicity was self-identified by participants using standard census questions.
Blood samples collected at enrollment were centrifuged and frozen at −80°C in 1 ml aliquots until the time of analysis. For this analysis, samples were available in 1946 participants. The available samples were shipped on dry ice. On arrival they were thawed to 4°C prior to measurements and analyzed within one hour thereafter, thus reducing pre-analytic problems. Serum samples were assayed for levels of LpPLA2 mass, using a manual enzyme-linked immunoassay (PLAC), and LpPLA2 activity, using a colorimetric activity method (CAM), at a central laboratory at diaDexus, Inc., San Francisco, CA, USA. Quality control was maintained using standardized procedures including running samples in duplicate. All testing was performed in a batch analysis blinded to all clinical data including outcome.
Prospective Outcome Assessment
Annual telephone follow-up assessed vital status as well as interval hospitalization or illness and specifically symptoms indicative of ischemic stroke; the average annual contact rate was 99% . A positive screen for suspected ischemic stroke was followed up by in-person assessment to determine whether an outcome had occurred. We prospectively screened all admissions and discharges to detect hospitalizations and outcomes that may not have been captured by telephone interview. Stroke was defined as the first symptomatic occurrence of fatal and non-fatal ischemic stroke according to the World Health Organization criteria . Ischemic stroke subtype was classified by a consensus of two study neurologists, with a third neurologist adjudicating if needed , based on the TOAST (Trial of Org 10172 in Acute Stroke Treatment) criteria .
Descriptive statistics were calculated, including means for continuous variables and proportions for dichotomous variables. The primary outcome for this analysis was ischemic stroke and the secondary outcome was large artery atherosclerotic stroke (LAA). The main predictors were LpPLA2 mass and activity considered as continuous predictors and also by quartiles in order to facilitate clinical interpretation. We fitted Cox proportional hazard models to calculate hazard ratios and 95% confidence intervals (HR, 95% CI), unadjusted and adjusted for demographic and vascular risk factors, including lipid levels. Adjusted covariates were predictors of ischemic stroke in prior analyses in NOMAS and traditionally accepted risk factors for stroke. We tested for interactions between LpPLA2 and sociodemographic and vascular risk factors. The interaction models were also fully adjusted using the same variables as in the Cox proportional hazard models. The final models were tested to ensure no violation of the proportionality assumption for the Cox model. We ran sensitivity analyses using the inverse probability weighted (IPW) method to correct for potential selection bias that may have been introduced when the LpPLA2 cohort were selected from the full NOMAS cohort. All testing was two-tailed and p<0.05 was considered to indicate statistical significance. All calculations were performed using SAS v9.1.3 (SAS Institute, Cary, NC).
Study population characteristics
Among 3298 in the stroke free cohort, LpPLA2 levels were available for 1946 participants. The current study population consisted of 35.6% men; mean age was 69 (SD± 10) years, 20% were non-Hispanic Whites, 22% non-Hispanic Blacks, and 55% Hispanics. Mean LpPLA2 mass levels were 308.7 ng/mL (SD 88.2), and mean LpPLA2 activity levels 116.9 nmol/min/mL (SD 29.6). Characteristics among these participants were similar to those not in this analysis; this study cohort was slightly younger (mean age 69 versus 70), and participants were more likely to be female (64% versus 61%), Hispanic (55% versus 48%), or suffer from diabetes mellitus (24% versus 18%), and they were more likely to be physically inactive (55% versus 62%), and less likely to complete high school (44% versus 49%). We present all baseline characteristics according to race ethnicity (table 1).
Association of LpPLA2 levels with incident ischemic stroke
Among the 1946 participants, 151 (7.8%) developed an ischemic stroke during a median follow-up of 11 years. Stroke etiologies according to the TOAST criteria were distributed as follows: 26 (17%) LAA, 35 (23%) small vessel, 54 (36%) cardioembolic, and 36 (24%) unknown etiology.
In the adjusted analysis, LpPLA2 mass (adjusted HR per SD 1.02, 95% CI 0.86–1.19) and activity (0.88, 95% CI 0.71–1.08) were not associated with ischemic stroke (see table 2). There was also no association when analyzing LpPLA2 mass and activity by quartiles.
Association of LpPLA2 and large artery atherosclerotic strokes (LAA)
LpPLA2 mass but not activity levels were associated with LAA (adjusted HR per SD 1.55, 95% CI 1.17–2.04). When analyzed by quartiles, there was a dose-response relationship: compared to the lowest quartile of LpPLA2 mass, there was an increased risk for those in the second (adjusted HR = 1.43, 95% CI 0.23–8.64), third (adjusted HR = 4.47, 95% CI 0.93–21.54), and fourth quartiles (adjusted HR = 5.07, 95% CI 1.07–24.06; table 3). LpPLA2 mass was not associated with cardioembolic stroke (adjusted HR per SD 0.91, 95% CI 0.69–1.20), or lacunar stroke (adjusted HR per SD 0.69, 95% CI 0.46–1.05).
Sensitivity analyses using the inverse probability weighted method to correct for potential selection bias that may have been introduced when the LpPLA2 cohort was selected from the full NOMAS cohort demonstrated qualitatively similar results (data not shown).
Modification of the association of Lp-PLA2 by race-ethnicity
There was a non-significant trend toward effect modification of the association between LpPLA2 mass and all ischemic strokes by race-ethnicity (likelihood ratio test with 2 degrees of freedom, p = 0.14). The effect of LpPLA2 mass on the risk of IS was greater in non-Hispanic Whites (adjusted HR per SD 1.44, 95% CI 0.98–2.11), compared to Blacks (adjusted HR per SD 0.88, 95% CI 0.66–1.17) and Hispanics (adjusted HR per SD 1.01, 95% CI 0.79–1.28) (see table 4).
Each stroke etiology had different distributions of race-ethnicity. The proportion of strokes due to LAA was 24% among non-Hispanic Whites, 10% among non-Hispanic Blacks and 17% among Hispanics, whereas small vessel stroke was the etiologic subtype in 31% of non-Hispanic Blacks and 22% of Hispanics, but only 17% of non-Hispanic Whites. The proportion of cardioembolic stroke was 31% among non-Hispanic Whites, 46% among non-Hispanic Blacks and 33% among Hispanics.
The association of LpPLA2 mass with LAA stroke differed significantly by race-ethnicity (likelihood ratio test with 2 degrees of freedom, p = 0.01). LpPLA2 was associated with increased risk of LAA among non-Hispanic Whites (adjusted HR per SD 3.05, 95% CI 1.92–4.85), but not Blacks (adjusted HR per SD 1.19, 95% CI 0.70–2.05) or Hispanics (adjusted HR per SD 1.26, 95% CI 0.70–2.05) (see table 5). These interactions were not seen when analyzing LpPLA2 activity.
In this urban multiethnic population-based sample we found that LpPLA2 mass levels previously associated with vascular disease risk are associated with risk of large artery atherosclerotic stroke, and the association was most prominent among non-Hispanic White participants, but not in other race-ethnic groups. We did not find an association of LpPLA2 with overall ischemic stroke risk.
There is limited data on the association of LpPLA2 levels and specific stroke etiologic subtypes. LpPLA2, a marker of inflammation and atherosclerosis, has been associated with coronary artery disease and myocardial disease. The causes of ischemic stroke are more heterogeneous than those of atherosclerotic heart disease, however, and considering all ischemic stroke as one disease for the purposes of these analyses may underestimate effects of particular risk factors. For example, several early epidemiologic studies indicated a lack of association between stroke risk and elevated lipid levels, but generally did not distinguish between stroke subtypes . In recent studies, however, it has been demonstrated that lipids are risk factors specifically for large artery atherosclerotic strokes . These findings supported our hypothesis that LpPLA2 may be associated with large artery atherosclerotic stroke risk, but not overall ischemic stroke risk. We did not find associations of LpPLA2 mass levels with lacunar strokes, arising from lipohyalinosis of small perforating arteries, which are generally considered to be related to hypertension and diabetes, or with cardioembolic stroke, related to the formation of thrombin-rich clots that form in the heart, often in the presence of atrial fibrillation. Further indirect evidence in support of this hypothesis may be drawn from a recently published study of a population of patients with transient ischemic attacks in which LpPLA2 activity was increased specifically when LAA was the most likely mechanism for the TIA . Moreover, others have shown that LpPLA2 expression was significantly higher in the carotid plaque of symptomatic patients, in particular in those with TIA .
We have previously reported that LpPLA2 mass as well as activity levels in the top quartile predict recurrent stroke after first ischemic stroke . These findings seem not to be consistent with the lack of association of LpPLA2 with ischemic stroke risk in the present study. However, the effect of LpPLA2 on the risk of recurrent stroke appeared to be greater for those with previous atherosclerotic strokes . Moreover, the population of incident stroke patients differs from the stroke-free population, such that subjects with a first stroke are likely in a very high vascular risk category compared to the stroke free population. Therefore the predictive value of LpPLA2 may differ.
We also found that the association of LpPLA2 with risk of atherosclerotic stroke differed by race-ethnic group; the effect of LpPLA2 on LAA risk was greater among non-Hispanic Whites compared to non-Hispanic Blacks or Hispanics. It thus may be that risk factors for large vessel atherosclerosis are not exactly the same in all ethnicities, or that the effect of other risk factors, like diabetes or hypertension, are more important than LpPLA2 in other race-ethnic groups. Studies on the value of LpPLA2 mass and/or activity levels in the prediction of stroke risk have been carried out predominantly in Caucasian populations, and differences in LpPLA2 across race-ethnicities have been reported . Of the four largest population studies, including the Rotterdam study cohort , the Malmö Diet and Cancer Study (MDCS) , the Women's Health Initiative Observational Study (WHI-OS)  and the Atherosclerosis Risk in Communities (ARIC)  study, only ARIC and WHI-OS included a relatively large proportion of Blacks. Hispanics have not been studied with regard to LpPLA2 and stroke risk. Although similar well-known vascular risk factors and molecular pathways are involved in the global process of atherogenesis, local expression and severity of atherosclerosis differs among vulnerable individuals. A paradigm of this disparity is the difference in race-ethnic distribution of atherosclerosis. Carotid bifurcation atherosclerosis, for example, appears to be most prevalent among Caucasians compared to African Americans, Hispanics or Asians –. Our study is the first assessing LpPLA2 as a potential risk factor for incident ischemic stroke events in a multiethnic cohort including a large proportion of Hispanics. This large proportion of Hispanics may explain why LpPLA2 levels were not associated with all ischemic stroke in our cohort and why in contrast in other primarily European Caucasian populations in which LAA may be a relatively more prominent subtype  investigators found an association of LpPLA2 with all ischemic stroke.
Stroke etiology in the present cohort differed by race-ethnicity. Whites were more likely to have LAA than Blacks or Hispanics, but less likely to have small vessel disease than other race-ethnicity. These distributions were consistent with other studies. In the South London Ethnicity and Stroke study, the proportion of LAA was greater among Whites (14.3%) than among Blacks (8%) whereas small vessel disease was much more common among Blacks (33%) compared to Whites (14%) . In the Rochester Epidemiology Project the incidence of stroke due to large-vessel atherosclerosis with stenosis was significantly greater among Whites (27 per 100 000) than Blacks (17 per 100 000) .
We found associations for LpPLA2 mass levels but not activity levels. We previously found that mass levels were more strongly associated than activity levels with outcomes after incident stroke in our cohort , . LpPLA2 activity is also more strongly associated with lipid markers then mass  and, as we previously reported, baseline lipid panel components were not clearly associated with an increased stroke risk in this cohort , possibly because of temporal trends in use of statins and levels of lipids. Further possible reasons for differences between mass and activity levels as prognostic markers include acute changes in activity levels in the setting of lipoprotein changes.
Our study has limitations. First, the blood samples were stored at −80 C for several years, which could potentially lead to some protein degradation. However, LpPLA2 seems to be quite stable over time when stored at −70 C . Moreover our samples were stored for a similar length of time as compared to other studies . Second, we did not have blood available for analysis in all participants in our cohort, but the differences between our entire cohort and the sample analyzed in this study were minimal. Third, repeated measurements of LpPLA2 and measurements closer to the event or their change over time may be a better or of ischemic stroke than levels measured at a single baseline point. Fourth, there are shortcomings with all etiological classifications of ischemic stroke and it is always difficult to determine stroke subtype with certainty. In the NOMAS cohort we tried to minimize misclassification by relying only on a consensus among vascular neurologists, with a third neurologist adjudicating if needed . If misclassification occurred it would rather be non-differential misclassification due to missed cases thus underestimating the association of LpPLA2 and LAA strokes. Fifth, self-report of race-ethnicity depends on cultural and social characteristics and is not equivalent to a biological marker or genetic indicator. Finally, as the number of LAA strokes is relatively small, analyses by race-ethnicity groups should be considered with caution and differences observed may be due to chance. Although the magnitude of association may be over- or underestimated, and thus the precision of the point estimates may be limited, we are confident that the associations we found are reliable. But these results need external validation.
The strengths of this study include the population-based multiethnic cohort, including a large proportion of Hispanics who are frequently underrepresented in other cohort studies, minimal loss to follow-up, and the ability to adjust for numerous potential covariates. Moreover, we were able to assess stroke etiology and potential interactions, and we ran sensitivity analyses to exclude biases due to selection of the subsample.
If our results are confirmed, this could have potential clinical implications. For example it may be that stroke risk reduction strategies aimed at targeting LpPLA2 inhibition will have differential benefits across different ethnicities. Concerning potential primary prevention trials with the LpPLA2 inhibitor darapladib it will be important to adequately select patients who are most likely to benefit.
In conclusion, our study aimed at investigating the association of LpPLA2 with incident ischemic stroke in a multiethnic cohort. LpPLA2 mass levels were associated with risk of atherosclerotic stroke among non-Hispanic White participants, but not in other race-ethnic groups in this cohort. Further study is needed to confirm these race-ethnic differences and the reasons for them.
Conceived and designed the experiments: MK YPM MCP RLS MSVE. Performed the experiments: MK YPM MCP RLS MSVE. Analyzed the data: MK YPM MCP RLS MSVE. Contributed reagents/materials/analysis tools: RLW RLS MSVE. Wrote the paper: MK YPM MSVE. Revised the manuscript critically for important intellectual content and approved this submitted version: MK YPM MCP RLW RLS MSVE. Funding for this study was provided by: MK MSVE.
- 1. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, et al. (2011) Heart disease and stroke statistics–2011 update: a report from the American Heart Association. Circulation 123: e18–e209.
- 2. Wilensky RL, Shi Y, Mohler ER 3rd, Hamamdzic D, Burgert ME, et al. (2008) Inhibition of lipoprotein-associated phospholipase A2 reduces complex coronary atherosclerotic plaque development. Nat Med 14: 1059–1066.
- 3. Serruys PW, Garcia-Garcia HM, Buszman P, Erne P, Verheye S, et al. (2008) Effects of the direct lipoprotein-associated phospholipase A(2) inhibitor darapladib on human coronary atherosclerotic plaque. Circulation 118: 1172–1182.
- 4. Thompson A, Gao P, Orfei L, Watson S, Di Angelantonio E, et al. (2010) Lipoprotein-associated phospholipase A(2) and risk of coronary disease, stroke, and mortality: collaborative analysis of 32 prospective studies. Lancet 375: 1536–1544.
- 5. http://clinicaltrials.gov/ct2/show/NCT01000727). (accesed 2013) The Stabilization of plaques using Darapladib- Thrombolysis in Myocardial Infarction 52 Trial (SOLID-TIMI 52).
- 6. http://clinicaltrials.gov/ct2/show/NTC00799903). (accessed 2013) The Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy Trial (STABILITY).
- 7. Gorelick PB (2008) Lipoprotein-associated phospholipase A2 and risk of stroke. Am J Cardiol 101: 34F–40F.
- 8. Elkind MS, Tai W, Coates K, Paik MC, Sacco RL (2009) Lipoprotein-associated phospholipase A2 activity and risk of recurrent stroke. Cerebrovasc Dis 27: 42–50.
- 9. Elkind MS, Tai W, Coates K, Paik MC, Sacco RL (2006) High-sensitivity C-reactive protein, lipoprotein-associated phospholipase A2, and outcome after ischemic stroke. Arch Intern Med 166: 2073–2080.
- 10. Elkind MS, Sciacca RR, Boden-Albala B, Rundek T, Paik MC, et al. (2005) Relative elevation in baseline leukocyte count predicts first cerebral infarction. Neurology 64: 2121–2125.
- 11. Gentry EM, Kalsbeek WD, Hogelin GC, Jones JT, Gaines KL, et al. (1985) The behavioral risk factor surveys: II. Design, methods, and estimates from combined state data. American journal of preventive medicine 1: 9–14.
- 12. Sacco RL, Anand K, Lee HS, Boden-Albala B, Stabler S, et al. (2004) Homocysteine and the risk of ischemic stroke in a triethnic cohort: the NOrthern MAnhattan Study. Stroke; a journal of cerebral circulation 35: 2263–2269.
- 13. Organisation WH (1983) Proposal for the multinational monitoring of trends and determinants in cardiovascular disease(MONICA project). WHO/MNC/821 Rev 1.
- 14. Gan R, Sacco RL, Kargman DE, Roberts JK, Boden-Albala B, et al. (1997) Testing the validity of the lacunar hypothesis: the Northern Manhattan Stroke Study experience. Neurology 48: 1204–1211.
- 15. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, et al. (1993) Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke; a journal of cerebral circulation 24: 35–41.
- 16. Cholesterol, diastolic blood pressure, and stroke: 13,000 strokes in 450,000 people in 45 prospective cohorts. Prospective studies collaboration. Lancet 346: 1647–1653.
- 17. Bang OY, Saver JL, Liebeskind DS, Pineda S, Ovbiagele B (2008) Association of serum lipid indices with large artery atherosclerotic stroke. Neurology 70: 841–847.
- 18. Delgado P, Chacon P, Penalba A, Pelegri D, Garcia-Berrocoso T, et al. (2012) Lipoprotein-associated phospholipase a(2) activity is associated with large-artery atherosclerotic etiology and recurrent stroke in TIA patients. Cerebrovascular diseases 33: 150–158.
- 19. Mannheim D, Herrmann J, Versari D, Gossl M, Meyer FB, et al. (2008) Enhanced expression of Lp-PLA2 and lysophosphatidylcholine in symptomatic carotid atherosclerotic plaques. Stroke; a journal of cerebral circulation 39: 1448–1455.
- 20. Brilakis ES, Khera A, McGuire DK, See R, Banerjee S, et al. (2008) Influence of race and sex on lipoprotein-associated phospholipase A2 levels: observations from the Dallas Heart Study. Atherosclerosis 199: 110–115.
- 21. Oei HH, van der Meer IM, Hofman A, Koudstaal PJ, Stijnen T, et al. (2005) Lipoprotein-associated phospholipase A2 activity is associated with risk of coronary heart disease and ischemic stroke: the Rotterdam Study. Circulation 111: 570–575.
- 22. Persson M, Berglund G, Nelson JJ, Hedblad B (2008) Lp-PLA2 activity and mass are associated with increased incidence of ischemic stroke: a population-based cohort study from Malmo, Sweden. Atherosclerosis 200: 191–198.
- 23. Cook NR, Paynter NP, Manson JE, Martin LW, Robinson JG, et al. (2012) Clinical utility of lipoprotein-associated phospholipase A(2) for cardiovascular disease prediction in a multiethnic cohort of women. Clin Chem 58: 1352–1363.
- 24. Ballantyne CM, Hoogeveen RC, Bang H, Coresh J, Folsom AR, et al. (2005) Lipoprotein-associated phospholipase A2, high-sensitivity C-reactive protein, and risk for incident ischemic stroke in middle-aged men and women in the Atherosclerosis Risk in Communities (ARIC) study. Arch Intern Med 165: 2479–2484.
- 25. Markus HS, Khan U, Birns J, Evans A, Kalra L, et al. (2007) Differences in stroke subtypes between black and white patients with stroke: the South London Ethnicity and Stroke Study. Circulation 116: 2157–2164.
- 26. Sacco RL, Kargman DE, Gu Q, Zamanillo MC (1995) Race-ethnicity and determinants of intracranial atherosclerotic cerebral infarction. The Northern Manhattan Stroke Study. Stroke; a journal of cerebral circulation 26: 14–20.
- 27. Wityk RJ, Lehman D, Klag M, Coresh J, Ahn H, et al. (1996) Race and sex differences in the distribution of cerebral atherosclerosis. Stroke; a journal of cerebral circulation 27: 1974–1980.
- 28. Wong KS, Huang YN, Gao S, Lam WW, Chan YL, et al. (1998) Intracranial stenosis in Chinese patients with acute stroke. Neurology 50: 812–813.
- 29. De Silva DA, Woon FP, Lee MP, Chen CP, Chang HM, et al. (2007) South Asian patients with ischemic stroke: intracranial large arteries are the predominant site of disease. Stroke; a journal of cerebral circulation 38: 2592–2594.
- 30. Caplan LR, Gorelick PB, Hier DB (1986) Race, sex and occlusive cerebrovascular disease: a review. Stroke; a journal of cerebral circulation 17: 648–655.
- 31. Petty GW, Brown RD Jr, Whisnant JP, Sicks JD, O'Fallon WM, et al. (1999) Ischemic stroke subtypes: a population-based study of incidence and risk factors. Stroke; a journal of cerebral circulation 30: 2513–2516.
- 32. Willey JZ, Xu Q, Boden-Albala B, Paik MC, Moon YP, et al. (2009) Lipid profile components and risk of ischemic stroke: the Northern Manhattan Study (NOMAS). Archives of neurology 66: 1400–1406.
- 33. Oliver LK, Voskoboev N, Heser D, McConnell JP, Hodel-Hanson S, et al. (2011) Assessment of clinical performance without adequate analytical validation: A prescription for confusion. Clinical biochemistry 44: 1247–1252.