scholarly journals The Prevalence and Associated Factors of Hypertension among HIV Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Grace Wambura Mbuthia ◽  
Karani Magutah ◽  
Stephen T. McGarvey

Background. The dual burden of cardiovascular diseases and Human Immunodeficiency Virus (HIV) in sub-Saharan Africa is of public health concern. Persons living with HIV are 1.5–2 times more likely to develop CVD risk factors compared to the noninfected individuals. Hypertension is a major risk factor leading to the rising CVD epidemic in SSA. However, the burden of hypertension among HIV patients in Kenya is not well documented. Objective. This study determined the prevalence and the associated factors of hypertension among HIV patients receiving regular care at Thika Level 5 Hospital Comprehensive Care Clinic (CCC), within metropolitan Nairobi, Kenya. Methods. The current cross-sectional study involved review of patients’ records/charts. Charts for adult patients seen in the last 6 months at Thika Level 5 Hospital CCC were included in the study. Hypertension was defined as systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg on two different readings one month apart, while overweight/obesity was defined as body mass index (BMI) ≥ 25 kg/m2. Results. In a sample of 939 HIV patients, the majority, 68.8% (646), were female. The patients’ ages ranged from 18 to 84 years with a median age of 44 (IQR 37–51) years. The mean BMI was higher for females (25.8 kg/m2) compared to that of males (23.1 kg/m2). However, the prevalence of hypertension was higher among males (25.3%) compared to females (16.9%). Age >40 years (AOR = 2.80, p ≤ 0.001 ), male sex (AOR = 2.10; p = 0.04 ), history of alcohol consumption (AOR = 2.56, p ≤ 0.001 ), and being overweight/obese (AOR = 2.77 p ≤ 0.001 ) were significantly associated with hypertension. The antiretroviral (ARV) regimen and, additionally, the duration of antiretroviral therapy had no association with being hypertensive. Conclusion. The prevalence of hypertension is high among HIV patients. Traditional cardiovascular risk factors were associated with hypertension, but no association was observed with ART regime or duration of ARV use. There is a need to integrate hypertension management into regular HIV care.

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250676
Author(s):  
Isabelle Kousignian ◽  
Aurélie Sautereau ◽  
Corinne Vigouroux ◽  
Agnès Cros ◽  
Sandrine Kretz ◽  
...  

Background Diabetes mellitus (DM) is a major and increasing public health problem that may be underdiagnosed and undertreated among persons living with HIV (PLWH). Objective To describe the diagnosis, treatment and follow-up of DM among PLWH. Methods This study was performed inside a monocentric cohort of 1494 PLWH. DM was defined as having a FG ≥126 mg/dL twice or a HbA1c ≥6.5%, or a history of diabetes, or receiving antidiabetic treatment. The first visit mentioning a diagnosis of DM was considered as the baseline visit. Chi-Square or Fisher exact test were used to examine the association between categorical variables and DM, Wilcoxon or Student t-test were used for continuous variables. Results 156 PLWH with DM were included. Compared to non-diabetic participants, they were more likely to be native of Sub Saharan Africa (31.6% vs. 22.4%, p = 0.027) and older (54.6 vs. 49.9 years, p<0.001), to have a higher BMI (> 25 for 46.1% vs. 35.3%, p = 0.020) and a poorer control of HIV (HIV RNA<50 copies/mL: 80.1% vs. 89.5%, p<0.001). The diagnosis of DM was missed in 37.8% of PLWH, and 47.2% of PLWH treated for DM did not reach a HbA1c<7%. PLWH with DM were more frequently on antihypertensive and/or lipid-lowering medications: 94.2% had a LDL-cholesterol <70 mg/dL and 60.9% had a blood pressure <140/90 mmHg. Conclusion In a setting of HIV-control, HIV care providers should focus on metabolic issues. The management of DM and associated risk factors is mandatory to prevent cardiovascular disease in PLWH.


2021 ◽  
Vol 14 ◽  
pp. 1179173X2110533
Author(s):  
Jonathan Shuter ◽  
Sylvia A Ojoo ◽  
Patience Oduor ◽  
Maureen Ondire ◽  
Linda Khakali ◽  
...  

Introduction Persons living with HIV (PLWH) use tobacco at higher rates than the general population in both high-income countries and low- and middle-income countries. Tobacco use rates are increasing in sub-Saharan Africa, the home to most of the world’s PLWH. As the reach of antiretroviral therapy (ART) expands and HIV-related morbidity and mortality wanes, tobacco use is emerging as a leading cause of disease and death in PLWH. A better understanding of tobacco use behaviors in various settings will be crucial to designing optimal tobacco control strategies. Methods In late 2019, we enrolled 50 PLWH cigarette smokers from 6 clinical sites in Nairobi, Kenya (4 HIV care clinics and 2 methadone maintenance programs) for one-on-one interviews focusing on their behaviors and beliefs related to tobacco use. Results Fifty PLWH smokers completed the interviews. The mean age was 38.5 ± 9.7 years (range 20-57 years) and 68% were male. All were currently receiving ART. They smoked a mean of 14.9 ± 12.4 cigarettes per day, and 82% reported smoking every day. Only 6% reported dual use of smokeless tobacco products. Nicotine dependence was moderate or high in 74%. More than a third (36%) reported a prior history of tuberculosis. In our sample, use of other substances was common, especially alcohol, marijuana, and methadone. On the motivation to quit scale, 90% were at least in the contemplation stage, but only 2% had ever received behavioral cessation counseling, and only 8% had ever used pharmacotherapy (exclusively nicotine replacement therapy). Participants reported significant concern about developing smoking-related illness, exposing others to secondary smoke, and the financial burden associated with their tobacco use. Measures of intrinsic and extrinsic motivation to quit, smoker and abstainer self-concept, and social support yielded encouraging results regarding the possibility of successful quitting. Conclusions Tobacco use is an important health concern in PLWH in Kenya. A more thorough understanding of their tobacco use behaviors and beliefs will provide critical information for providers, public health officials, and policy makers as they redouble their efforts to confront this urgent health challenge.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.Q Wu ◽  
X Li ◽  
J.P Lu ◽  
B.W Chen ◽  
Y.C Li ◽  
...  

Abstract Background In China, an abundance of cardiovascular risk factors has contributed to the increasing prevalence of cardiovascular diseases (CVD), which caused almost 4 million deaths per year. However, comprehensive evidence on the geographical profiles of cardiovascular disease risk in China is lacking, as findings in prior studies have been limited to relatively small sample sizes, had incomplete regional coverage, or focused on a narrow risk factor spectrum. Purpose To compare the population CVD risk among different regions across China, and to describe the geographical distributions of CVD risk factors and their clusters throughout the nation. Methods In a nationwide population-based screening project covering 252 counties of China, standardized measurements were conducted to collect information on 12 major CVD risk factors. Individuals of high CVD risk were identified as those with previous CVD, or with a predicted 10-year risk of CVD greater than 10% according to the WHO risk prediction charts. We applied factor analysis to generate “clusters” that characterized the clustering of these risk factors, then explored their relationship with the local ambient temperature and per capital GDP. Results Among 983476 participants included, 9.2% were of high CVD risk, with a range of 1.6% to 23.6% across counties. Among the seven regions in China, the rate was relatively high in the Northeast (11.8%) and North China (10.4%), while low in the South China (7.2%) and Northwest (7.8%). We identified 6 clusters underlying CVD risk factors, including Obesity factor, Blood pressure factor, Staple food factor, Non-staple food factor, Smoking and alcohol factor, and Metabolic and physical activity factor (Figure). We found high risk regions were facing different leading challenges, like obesity and blood pressure for the North China, while unhealthy non-staple food for the Northeast. The South China, as the region with the lowest CVD risk, still had the highest prevalence of unhealthy staple food. Lower annual average ambient temperature was associated with higher risk in Blood pressure factor, Obesity factor and Non-staple food factor, but lower risk in Staple food factor and Metabolic and physical activity factor (p&lt;0.001 for all), consistently between rural and urban. Higher per capital GDP was associated with lower risk in Non-staple food factor in urban and higher risk in Metabolic and physical activity factor in rural (p&lt;0.05 for both). The correlation between per capital GDP and Smoking and alcohol factor differed significantly between in rural and urban regions (p=0.042). Conclusions The geographical profile of CVD risk in China is complex - population risk levels varied substantially across regions, which were contributed by different risk factors. China needs geographically targeted intervention strategies considering environmental and socio-economic factors to control CVD risk and reduce the burden related to CVD. Geographical disparity of risk clusters Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): The National Key Research and Development Program from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Svein Ivar Bekkelund

Abstract Background High and low levels of serum alanine aminotransferase (ALT) are both associated with cardiovascular diseases (CVD) risks especially in elderly, but the mechanisms are less known. This study investigated associations between ALT and CVD risk factors including effects of sex and age in a Caucasian population. Methods Cross-sectional data were analysed sex-stratified in 2555 men (mean age 60.4 years) and 2858 women (mean age 60.0 years) from the population study Tromsø 6. Associations were assessed by variance analysis and multivariable logistic regression of odds to have abnormal ALT. Risk factors included body mass index (BMI), waist-to-hip-ratio, blood pressure, lipids, glucose, glycated haemoglobin and high-sensitive C-reactive protein (CRP). Results Abnormal elevated ALT was detected in 113 men (4.4%) and 188 women (6.6%). Most CVD risk factors associated positively with ALT in both sexes except systolic blood pressure and CRP (women only), while ALT was positively associated with age in men when adjusted for CVD risk factors, P < 0.001. BMI predicted ALT in men (OR 0.94; 95% CI 0.88–1.00, P = 0.047) and women (OR 0.90; 95% CI 0.86–0.95, P < 0.001). A linear inversed association between age and ALT in men and a non-linear inversed U-trend in women with maximum level between 60 and 64 years were found. Conclusion This study confirms a positive relationship between ALT and CVD risk factors, particularly BMI. Age is not a major confounder in the ALT-CVD relationship, but separate sex-analyses is recommended in such studies.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hafte Kahsay Kebede ◽  
Lillian Mwanri ◽  
Paul Ward ◽  
Hailay Abrha Gesesew

Abstract Background It is known that ‘drop out’ from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood. Methods We performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests. Results Thirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1–1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1–1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2–1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5–2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04–1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2–25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9–4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6–4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2–5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5–3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1–1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02–1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7–2.8, I2 = 75%). Conclusions The current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Salasyuk ◽  
S Nedogoda ◽  
I Barykina ◽  
V Lutova ◽  
E Popova

Abstract Background Metabolic syndrome (MetS) and abdominal obesity are one of the most common CVD risk factors among young and mature patients. However, the currently used CVD risk assessment scales may underestimate the CV risk in people with obesity and MS. Early vascular aging rather than chronological aging can conceptually offer better risk prediction. MetS, as accumulation of classical risk factors, leads to acceleration of early vascular aging. Since an important feature of MetS is its reversibility, an adequate risk assessment and early start of therapy is important in relation to the possibilities of preventing related complications. Purpose To derive a new score for calculation vascular age and predicting EVA in patients with MetS. Methods Prospective open cohort study using routinely collected data from general practice. The derivation cohort consisted of 1000 patients, aged 35–80 years with MetS (IDF,2005 criteria). The validation cohort consisted of 484 patients with MetS and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD (EVA syndrome). Results In univariate analysis, EVA was significantly correlated with the presence of type 2 diabetes and clinical markers of insulin resistance (IR), body mass index (BMI), metabolic syndrome severity score (MetS z-score), uric acid (UA) level, hsCRP, HOMA-IR, total cholesterol (TC), triglycerides (TG), heart rate (HR), central aortic blood pressure (CBP), diastolic blood pressure (DBP). Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of EVA; the odds ratios were 2.75 (95% CI: 2.34, 3.35) and 1.57 (95% CI: 1.16, 2.00), respectively. In addition, the risk of having EVA increased by 76% with an increase in HOMA-IR by 1 unit, by 17% with an increase in hsCRP by 1 mg/l, by 4% with an increase in DBP by 1 mm Hg, and by 1% with each 1 μmol / L increase in the level of UA. The area under the curve for predicting EVA in patients with MetS was 0,949 (95% CI 0,936 to 0,963), 0,630 (95% CI 0,589 to 0,671), 0,697 (95% CI 0,659 to 0,736) and 0,686 (95% CI 0,647 to 0,726), for vascular age, calculated from cfPWV, SCORE scale, QRISK-3 scale and Framingham scale, respectively. Diabetes mellitus and clinical markers of IR (yes/no), HOMA-IR and UA level were used to develop a new VAmets score for EVA prediction providing a total accuracy of 0.830 (95% CI 0,799 to 0,860). Conclusion cfPWV at present the most widely studied index of arterial stiffness, fulfills most of the stringent criteria for a clinically useful biomarker of EVA in patients with MetS. Although, parallel efforts for effective integration simple clinical score into clinical practice have been offered. Our score (VAmets) may accurately identify patients with MetS and EVA on the basis of widely available clinical variables and classic cardiovascular risk factors can prioritize using of vascular age in routine care. ROC-curves for predicting EVA in MetS Funding Acknowledgement Type of funding source: None


2019 ◽  
Vol 10 (4) ◽  
pp. 634-646 ◽  
Author(s):  
Ehsan Ghaedi ◽  
Mohammad Mohammadi ◽  
Hamed Mohammadi ◽  
Nahid Ramezani-Jolfaie ◽  
Janmohamad Malekzadeh ◽  
...  

ABSTRACTThere is some evidence supporting the beneficial effects of a Paleolithic diet (PD) on cardiovascular disease (CVD) risk factors. This diet advises consuming lean meat, fish, vegetables, fruits, and nuts and avoiding intake of grains, dairy products, processed foods, and added sugar and salt. This study was performed to assess the effects of a PD on CVD risk factors including anthropometric indexes, lipid profile, blood pressure, and inflammatory markers using data from randomized controlled trials. A comprehensive search was performed in the PubMed, Scopus, ISI Web of Science, and Google Scholar databases up to August 2018. A meta-analysis was performed using a random-effects model to estimate the pooled effect size. Meta-analysis of 8 eligible studies revealed that a PD significantly reduced body weight [weighted mean difference (WMD) = −1.68 kg; 95% CI: −2.86, −0.49 kg], waist circumference (WMD = −2.72 cm; 95% CI: −4.04, −1.40 cm), BMI (in kg/m2) (WMD = −1.54; 95% CI: −2.22, −0.87), body fat percentage (WMD = −1.31%; 95% CI: −2.06%, −0.57%), systolic (WMD = −4.75 mm Hg; 95% CI: −7.54, −1.96 mm Hg) and diastolic (WMD = −3.23 mm Hg; 95% CI: −4.77, −1.69 mm Hg) blood pressure, and circulating concentrations of total cholesterol (WMD = −0.23 mmol/L; 95% CI: −0.42, −0.04 mmol/L), triglycerides (WMD = −0.30 mmol/L; 95% CI: −0.55, −0.06 mmol/L), LDL cholesterol (WMD = −0.13 mmol/L; 95% CI: −0.26, −0.01 mmol/L), and C-reactive protein (CRP) (WMD = −0.48 mg/L; 95% CI: −0.79, −0.16 mg/L) and also significantly increased HDL cholesterol (WMD = 0.06 mmol/L; 95% CI: 0.01, 0.11 mmol/L). However, sensitivity analysis revealed that the overall effects of a PD on lipid profile, systolic blood pressure, and circulating CRP concentrations were sensitive to removing some studies and to the correlation coefficients, hence the results must be interpreted with caution. Although the present meta-analysis revealed that a PD has favorable effects on CVD risk factors, the evidence is not conclusive and more well-designed trials are still needed.


2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.


Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Rachel E Luehrs ◽  
Graziela Z Kalil ◽  
Seth W Holwerda ◽  
Nealy A Wooldridge ◽  
Jess G Fiedorowicz ◽  
...  

Elevated short-term (24 hour) blood pressure variability (BPV) is associated with subclinical target organ damage and cardiovascular disease (CVD) among middle-aged/older (MA/O) adults with hypertension and obesity. Circulating total cholesterol (TC), low-density cholesterol (LDL-C) and triglycerides (TGs) increase with human obesity and are independent risk factors for CVD. In addition, BPV is increased in mouse models of hyperlipidemia and is normalized with statins. However, whether higher circulating lipoproteins independently contribute to greater short-term BPV among adults with obesity remains unclear. We hypothesized that higher LDL-C, TGs and lower high-density lipoprotein (HDL-C) would be associated with greater short-term BPV among individuals with obesity. Fasting plasma lipids and 24 hour ambulatory BP monitoring were assessed in fifty-six MA/O adults with obesity defined as body mass index (BMI) ≥ 30 kg/m 2 (56% F; age 54±7 yrs; BMI, 38.2±5.6 kg/m 2 ) and at least one other CVD risk factor. There was a significant relation between 24 hour systolic BPV and TC (r=0.30, P=0.03), TGs (r=0.34, P=0.01) and LDL-C (r=0.25, P=0.059), but not HDL-C (r=-0.07, P=0.61). Interestingly, these findings remained significant after adjusting for age, sex, BMI and 24 hour systolic BP (TC: r=0.34, P=0.01; TGs: r=0.39, P<0.01; LDL-C: r=0.31, P=0.03) but HDL-C remained non-significant (r=-0.16, P=0.27). In contrast, other cardiometabolic risk factors such as fasting glucose, insulin, c-reactive protein concentrations, carotid-femoral pulse wave velocity and HOMA-IR were not associated with 24 hour systolic BPV. In a multiple linear regression model that included age, sex, BMI, 24 hour systolic BP, TGs and LDL-C, only fasting TGs (β=0.02 ± 0.01, P=0.02) were a significant correlate of 24 hour systolic BPV (Model R 2 =0.24, P=0.03). Results were the same if TC was substituted for LDL-C in the model. In conclusion, higher plasma TC, LDL-C and TGs are associated with greater 24 hour BPV among MA/O adults with obesity with only TGs being independently associated with BPV. These data suggest that greater variability in BP among MA/O adults with obesity is mediated in part through circulating TGs suggesting that TGs may be a therapeutic target to modify short-term BPV.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nancy S Jenny ◽  
Nels C Olson ◽  
Alicia M Ellis ◽  
Margaret F Doyle ◽  
Sally A Huber ◽  
...  

Introduction: Clinically, natural killer (NK) cells are important in inflammatory and autoimmune diseases. As part of innate immunity, NK cells produce chemokines and inflammatory cytokines, potentially linking them to cardiovascular disease (CVD) development and progression as well. However, their role in human CVD is not clear. Hypothesis: NK cells are proatherogenic in humans and are associated with CVD risk factors and subclinical CVD measures. Methods: We examined cross-sectional associations of circulating NK cell levels with CVD risk factors, subclinical CVD measures and coronary artery calcium (CAC) in 891 White, Black, Chinese and Hispanic men and women (mean age 66 y) in the Multi-Ethnic Study of Atherosclerosis (MESA) at Exam 4 (2005-07). NK cell percent, percent of circulating lymphocytes that were CD3 - CD56 + CD16 + , was measured in whole blood by flow cytometry. CAC presence was defined as Agatston score > 0. Results: Mean (standard deviation) NK percent differed by race/ethnicity; 8.2% (4.7) in Whites, 11.3% (7.5) in Chinese (p<0.001 compared to Whites), 7.1 (4.2) in Blacks (p=0.007) and 8.4 (5.2) in Hispanics (p=0.6). NK cell percent was positively associated with age (p<0.001) and systolic blood pressure (P=0.003) in the full group. However, NK cell percent was lower in current smokers than in never smokers (p=0.002). Adjusting for age, sex, race/ethnicity, smoking, body mass index, systolic blood pressure, diabetes and dyslipidemia, NK cell percent was negatively associated with common carotid intima media thickness (IMT; β coefficient -0.01; 95% confidence interval -0.03, -0.003) but was not associated with internal carotid IMT (-0.002; -0.037, 0.033). Likewise, NK cell percent was not associated with the presence of CAC (compared those with no detectable CAC; relative risk 1.02; 95% confidence interval 0.96, 1.08) or continuous Agatston score in those with a positive score (β coefficient 0.16, 95% confidence interval -0.003, 0.32) in the full group (models adjusted as above). Results were similar across race/ethnic groups. Conclusions: Of clinical interest, CD3 - CD56 + CD16 + NK cell percent varied significantly by race/ethnicity in these men and women from MESA. However, NK cell percent was inconsistently associated with CVD risk factors; positively with age and systolic blood pressure, and negatively with smoking. NK cell percent was also negatively associated with common carotid IMT. Larger sample sizes and longitudinal analyses will be required to clarify the potential relationship between NK cells and atherosclerosis in humans.


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