Changes in D-Dimer after initiation of antiretroviral therapy in adults living with HIV in Kenya

doi:10.21203/rs.3.rs-23729/v1

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Changes in D-Dimer after initiation of antiretroviral therapy in adults living with HIV in Kenya

https://doi.org/10.21203/rs.3.rs-23729/v1

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published 14 Jul, 2020

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Background

Increased coagulation biomarkers are associated with poor outcomes among people living with HIV(PLHIV). There are few data available from African cohorts demonstrating the effect of antiretroviral therapy (ART) on coagulation biomarkers.

Methods

From March 2014 to October 2014, ART-naïve PLHIV initiating non-nucleoside reverse transcriptase inhibitor-based ART were recruited from seven clinics in western Kenya and followed for up to 12 months. Demographics, clinical history and blood specimens were collected. Logistic regression models adjusted for intrasite clustering examined associations between viral load and D-Dimer at baseline. Mixed linear effects models were used to estimate mean change from baseline to six months overall, and by baseline viral load, sex and TB status at enrollment. Mean change in D-dimer at six months is reported on the log10 scale and as percentage change from baseline.

Results

Among 611 PLHIV enrolled, 66% were female, median age was 34 years (interquartile range (IQR) 29–43 years), 31 (5%) participants had tuberculosis and median viral load was 113,500 copies/mL (IQR: 23,600 − 399,000). At baseline, 311 (50.9%) PLHIV had elevated D-dimer (> 500 ng/mL) and median D-dimer was 516.4 ng/mL (IQR: 302.7-926.6) (log baseline D-dimer: 2.7, IQR: 2.5-3.0). Higher baseline D-dimer was significantly associated with higher viral load (p < 0.0001), female sex (p = 0.02) and tuberculosis (p=-0.02). After six months on ART, 518 (84.8%) PLHIV had achieved viral load < 1,000 copies/mL and median D-dimer was 390.0 (IQR: 236.6-656.9) (log D-dimer: 2.6, IQR: 2.4–2.8). Mean change in log D-dimer from baseline to six months was − 0.12 (95%CI -0.15, − 0.09) (p < 0.0001) indicating at 31.3% decline (95%CI -40.0, -23.0) in D-dimer levels over the first six months on ART. D-dimer decline after ART initiation was significantly greater among PLHIV with tuberculosis at treatment initiation

Infectious Diseases

coagulation

D-dimer

ART initiation

tuberculosis

women

Increased levels of D-dimer, a marker of hyper coagulation, have been shown to be a strong predictor of morbidity and mortality among people living with HIV (PLHIV) both prior to and after initiation of antiretroviral therapy (ART). (1–3) The Strategies for Management of Antiretroviral Therapy (SMART) study provided important insights into the correlation between coagulation and inflammatory markers in PLHIV and increased mortality. The study found that D-dimer and IL-6 were the strongest predictors of all-cause mortality among a population of relatively healthy HIV-positive individuals.(4) Other studies have also shown that elevated D-dimer levels in PLHIV both before and after ART initiation are correlated with greater risk of non-AIDS events and mortality in resource-rich (2, 5) and resource limited settings among populations with advanced HIV disease.(3, 6, 7). PLHIV appear to be at higher risk for venous thrombotic events (8, 9) likely due to activation of coagulation pathways resulting in a pro-coagulant states (10, 11) which are associated with immunodeficiency and active viral replication.(4, 11)

While long-term ART, particularly with use of specific antiretroviral drugs, has been associated with some metabolic complications, including hyperlipidemia and myocardial infarction (12, 13), ART also has beneficial effects in decreasing inflammatory and coagulation biomarkers. Studies have shown declines in D-dimer levels following treatment initiation, and have further demonstrated that delayed ART, poor treatment adherence and interruption of ART may contribute to elevated coagulation markers and increased risk of death.(4, 14–16) Nonetheless, compared to HIV-negative persons, higher D-dimer levels have been shown to persist even in PLHIV who maintain viral suppression on long-term ART.(14, 17) Few studies have examined change in D-dimer resulting from ART initiation including examination of pre-treatment measures, and most research in this area has been conducted in resource-rich settings. In this analysis, we present an investigation of changes in D-dimer levels after ART initiation among a large cohort of adult PLHIV in Kenya.

The Antiretroviral Therapy and Inflammatory and Coagulation Biomarkers (ARTIC) study was a prospective cohort study designed to examine the relationship between ART use and changes in biomarkers among adult ART-naïve PLHV initiating treatment in Kenya (NCT02027480). Study participants included male and female PLHIV aged 18 years and older who were recruited from seven health facilities in Nyanza region of Kenya from March through October 2014. All participants were eligible for ART based on Kenyan national guidelines which changed over the course of the study from CD4 + cell count (CD4+) < 350 cells/mm³ or WHO World Health Organization (WHO) stage 3 or 4 to CD4 + < 500 cells/mm³ regardless of WHO stage (as of July 2014).(18) The recommended first line treatment regimen in Kenya at the time of the study was Tenofovir (TDF) + Lamivudine (3TC) + Efavirenz (EFV).(18) Women who were currently pregnant were excluded. The ARTIC study was approved by the Kenya Medical Research Institute (KEMRI) and the Columbia University Medical Center (CUMC) Institutional Review Board (IRB).

Consented participants attended an enrollment visit followed by visits at two, six and 12 months. The enrollment visit included collection of demographic, medical history, physical examinations including height and weight measurements, and collection of blood and urine samples. Participants received routine care at participating health facilities as per national guidelines including initiation of non-nucleoside reverse transcriptase inhibitor (NNRTI) based ART regimens. At all study follow-up visits, clinical data were abstracted from medical charts including CD4 + cell count and ART regimens. At six and 12 months, physical examinations included measurement of weight and blood pressure, and collection of blood and urine samples to assess biomarker and viral load over time. Blood specimens were collected by venipuncture using vacutainer tubes. Within 12 hours of collection, specimens were transported to the KEMRI/CDC laboratory where they were stored at -80 C until thawed for batched biomarker evaluation at the University of Nairobi Institute of Tropical and Infectious Diseases Laboratory (Nairobi, Kenya). We report measures of HIV viral load copies/mL (Xpert® HIV-1 Viral Load, Cepheid AB, Solna, Sweden) and D-dimer in nanograms (ng)/mL (Nano-Check™ kits, Nano-Ditech, New Jersey, USA). The lower limits of detection was 40 copies/mL for viral load and 200 ng/mL for D-dimer.

In this analysis, we describe study population characteristics at enrollment by D-dimer level including sex, age, CD4 + cell count, viral load level, body mass index (BMI) and tuberculosis (TB) status. D-dimer was dichotomized as elevated (> 500 ng/mL) and normal/low (≤ 500 ng/mL) based on standard (non-age adjusted) cutoffs used to identify activated coagulation in patients.(19) BMI was defined as individual’s weight divided by the square of their height (kg/m²) and was categorized in accordance with the WHO guidelines (20). TB diagnosis at the time of study enrollment was ascertained from clinical records. Chi-square tests for proportions and Wilcoxon tests for medians were used to assess the unadjusted association of D-dimer at baseline with participant demographic and clinical characteristics including sex, age, CD4 + cell count, viral load, BMI and current TB. We also examined the correlation between age and baseline D-dimer as a continuous variable using Pearson correlation coefficients. We report unadjusted median D-dimer levels at baseline and six months after ART initiation overall and according to pre-treatment viral load, sex and TB status at enrollment. D-dimer was not normally distributed and was evaluated in models on the log10 scale. To estimate mean change in log D-dimer values from baseline to six months, analysis of variance (ANOVA) models (random effects linear models) adjusted for baseline D-dimer were used. We also estimated mean log D-Dimer change by category of baseline viral load, sex and TB status at enrollment. Mean change estimates were back transformed to the original D-dimer scale and presented as percent change from baseline.

Among 685 ART-naïve adult PLHIV enrolled in the ARTIC study, 611 (89.2%) are included in this analysis. Forty-nine (7.2%) participants were lost to follow-up after enrollment and another 25 (3.6%) were missing D-dimer measures at either baseline or six months. As shown in Table 1, among the included participants, half (50.9%) had high D-dimer levels (≥ 500) at study enrollment and median D-dimer overall was 516.4 (interquartile range (IQR): 302.7-926.6). Most participants were female (65.5%) and median age was 34 years (IQR: 29–43). At baseline median CD4 + count was 326 cells/mm³ (IQR 194–442) and median viral load was 113,500 copies/mL (IQR 23,600 − 399,000); half (52.9%) of all participants had a viral load > 100,000 copies/mL. Among 31 (5.0%) participants with TB at study enrollment, 19 (61.3%) were male. Most participants (69.5%) had normal BMI (18.5–24.9). The proportion of women with high D-dimer levels at baseline was more than double that for men (p = 0.02). Elevated D-dimer levels were also associated with higher viral load, 56.6% of PLHIV with elevated D-dimer had baseline viral load > 100,000 copies/mL compared to 44.0% of those with normal/low D-dimer (p = 0.01). PLHIV with TB disease at baseline were also more likely to have elevated D-dimer (p = 0.02). BMI and CD4 + at study enrollment were not associated with elevated baseline D-dimer. Age was also not associated with elevated baseline D-dimer when examined as a dichotomous variable (p = 0.60) (Table 1), nor as a continuous variable (correlation coefficient (r) = 0.03, p = 0.52).

Table 1

Characteristics at study enrollment of ART-naïve treatment eligible adults (≥ 18 years) living with HIV in Kenya and starting ART in 2014 according to enrollment D-dimer level, normal/low vs. high (N = 611)
	Total		Normal/low D-dimer (< 500 ng/mL)		High D-dimer (≥ 500 ng/mL)
	N	%	N	%	N	%	p-value
	611	100.0	300	49.1	311	50.9
Enrollment D-dimer, median (IQR)	516.4 (302.7-926.6)		301.7 (199.0-397-6)		912.8 (690.2-1446.2)		< 0.0001
Sex
Male	211	34.5	117	39.0	94	30.2	0.02
Female	400	65.5	183	61.0	217	69.8
Age (years), median (IQR)	34 (29–43)		34 (29–43)		34 (29–43)		0.86
< 25	52	8.5	29	9.7	23	7.4	0.60
25–40	384	62.9	186	62.0	198	63.7
> 40	175	28.6	85	28.3	90	28.9
CD4 + cells/mm3, median (IQR)	326 (194–442)		335 (221–451)		319 (177–435)		0.17
> 500	78	12.8	39	13.0	39	12.5	0.42
350–500	186	30.4	98	32.7	88	28.3
200–349	190	31.1	95	31.7	95	30.6
< 200	156	25.5	68	22.7	88	28.3
Missing	1	0.2	0	0.0	1	0.3
Viral load copies/mL, median (IQR)	113,500 (23,600 − 399,000)		82,200 (15,800 − 294,000)		159,000 (33,400–501,000)		0.0001
< 1,000 (< log 3.0)	30	4.9	18	6.0	12	3.9	0.01
1,000–9,999 (log 3.0-3.9)	57	9.3	34	11.3	23	7.4
10,000–99,999 (log 4.0-<4.9)	201	32.9	107	35.7	94	30.2
100,000–1,000,000 (log 5.0-5.9)	255	41.7	116	38.7	139	44.7
> 1,000,000 (> log 6.0)	53	8.7	16	5.3	37	11.9
Missing	15	2.5	9	3.0	6	1.9
BMI, median (IQR)	20.9 (18.9–22.9)		21.1 (19.1–22.9)		20.5 (18.6–23.0)		0.21
Underweight (< 18.5)	114	18.7	48	16.0	66	21.2	0.17
Normal (18.5–24.9)	425	69.6	219	73.0	206	66.2
Overweight & Obese (≥ 25)	72	11.8	33	11.0	39	12.5
Current TB at study enrollment	31	5.1	9	3.0	22	7.1	0.02

At six months after starting ART, 518 (84.8%) PLHIV had achieved a viral load < 1,000 copies/mL (5.7% missing viral load at six months). Baseline median D-dimer level was 516.4 ng/mL (IQR 302.7-926.6) (log 2.7, IQR: 2.5-3.0) and at six months after ART initiation was 390.0 (IQR: 236.6-656.9) (log 2.6, IQR: 2.4–2.8) (Table 2). Mean log change for all participants from baseline to six months was − 0.12 (95%CI -0.15,-0.09). Median D-dimer at baseline among PLHIV with log viral load > 6.0 /mL (819.8 ng/mL) and mean change at 6 months (-0.28 (95%CI -0.37, -0.19) was significantly higher compared to those with lower baseline viral load (p < 0.001) (Table 2). PLHIV with TB at enrollment had the highest baseline D-dimer (median 1230.3, IQR: 465.1-2586.3) and mean change in log D-dimer at six months in these participants was significantly higher than in PLHIV without TB (-0.43, 95%CI -0.56, -0.31, p < 0.0001). Although women had higher median D-dimer at baseline compared to men (566.1 vs. 448.0), there was no significant difference in mean change from baseline to six months in log D-dimer by sex (p = 0.14) (Table 2). Overall, there was a 31.3% decline in D-dimer from baseline to six months after ART initiation (95%CI -40.0, -23.0) (Fig. 1). Among PLHIV starting ART with log viral load > 6.0 copies/mL, there was a 91.1% (95%CI -136.7, -54.2) decrease at six months on ART, while those with baseline log viral load < 4.0, had a mean decrease of 19.1% (95%CI -39.0, -2.1). PLHIV with TB at ART initiation saw the largest percent decline in D-dimer levels, 172.1% (95%CI -259.0, -106.3).

Table 2

Median biomarker values at baseline and six months and mean change from baseline to six months among adults (≥ 18 years) starting ART in Kenya 2014 (N = 611)
	Baseline		6 months		Change Baseline to 6 months
	Median (IQR)	Log Median (IQR)	Median (IQR)	Log Median (IQR)	Mean log10 change (95% CI)	p-value*
D-dimer (ng/mL)	516.4 (302.7-926.6)	2.7 (2.5-3.0)	390.0 (236.6-656.9)	2.6 (2.4–2.8)	-0.12 (-0.15, -0.09)	< 0.0001
Sex
Male	448.0 (245.7-872.1)	2.7 (2.4–2.9)	290.1 (199.0-539.3)	2.5 (2.3–2.7)	-0.15 (-0.2, -0.1)	0.14
Female	566.1 (347.9-953.4)	2.8 (2.5-3.0)	430.2 (279.6-714.7)	2.6 (2.4–2.9)	-0.10 (-0.14, -0.07)
Baseline log viral load cells/mL
>6.0	819.8 (466.8-1262.3)	2.9 (2.7–3.1)	397.8 (259.5-617.8)	2.6 (2.4–2.8)	-0.28 (-0.37, -0.19)	< 0.01
5.0–6.0	566.8 (320.2-970.4)	2.8 (2.5-3.0)	399.2 (246.1-723.3)	2.6 (2.4–2.9)	-0.13 (-0.17, -0.09)
4.0-4.9	461.8 (284.3-894.9)	2.7 (2.5-3.0)	410.3 (258.4-639.3)	2.6 (2.4–2.8)	-0.08 (-0.13, -0.03)
<4.0	435.0 (258.7-683.1)	2.6 (2.4–2.8)	326.4 (199.0-590.6)	2.5 (2.3–2.8)	-0.08 (-0.14, 0.01)
Baseline TB
No	495.9 (300.6-884.8)	2.7 (2.5–2.9)	390.2 (237.4-666.3)	2.6 ( 2.4–2.8)	-0.10 (-0.13, -0.07)	< 0.0001
Yes	1230.3 (465.1-2586.3)	3.1 (2.7–3.4)	297.3 (199.0-572.8)	2.5 (2.3–2.8)	-0.43 (-0.56, -0.31)	< 0.0001
*p-values from Type 3 Tests of Fixed Effects.

In this cohort of 611 ART-naïve, treatment-eligible Kenyan adults, almost half had elevated pre-ART D-dimer levels (> 500 ng/mL) indicating increased risk for morbidity and mortality. Women, PLHIV with higher viral load and those with TB at ART initiation were most likely to have elevated pre-treatment D-dimer. At six month visit after starting ART, D-dimer levels decreased, with the median falling to below the threshold indicative of elevated coagulation. The most significant declines were observed among those with highest pre-treatment levels, including participants with high pre-treatment viral load and those with co-existing TB. To our knowledge, this is largest cohort report of changes in this critical coagulation marker after ART initiation from a sub-Saharan African country and our findings provide important information about the benefits of treatment initiation, particularly for PLHIV with advanced disease.

At study enrollment, among all treatment eligible PLHIV in Kenya with median viral load of roughly 100,000 copies/mL, we observed a median D-dimer of 516 ng/mL which is slightly above the clinical cutoff of 500 ng/mL. Our findings showed somewhat lower baseline levels than previous studies of untreated African cohorts, including a study of women living with HIV in Rwanda (21) and another of South African PLHIV with advanced disease.(3) In our cohort, women, PLHIV with high viral load and those with TB had higher pre-treatment D-dimer levels. Sex differences in coagulation makers have been previously documented in HIV-negative populations and in PLHIV enrolled in clinical trials conducted in high resource settings.(22–24) Similar to our results, a study conducted in South Africa and Uganda also found higher pre-treatment D-dimer levels in women compared to men.(25) Previous studies in HIV-positive populations have shown an association between advanced disease and coagulation markers (1, 3, 22, 25), including D-dimer, however we believe this to be one of the largest African cohorts in which pre-treatment findings have been described.

We report significant reduction in D-dimer levels over the first six month after ART initiation in Kenyan PLHIV, particularly among those with higher viral load and TB at enrollment. Overall, median D-dimer level at six months on treatment was 390 ng/mL which is below the clinical cutoff of 500 ng/mL and there was a 31% decline overall in D-dimer levels after treatment start. PLHIV starting ART with higher viral load and those with TB saw the largest declines in D-dimer. These findings demonstrate the important benefits of treatment initiation for PLHIV particularly those with advanced disease and comorbidities. While the impact of treatment with antiretroviral medications on levels of coagulation markers in PLHIV has been shown in clinical trials, there are limited findings from real world cohorts, particularly from African settings. The SMART trial found that among participants who achieved viral load < 400 copies/mL, at six months on ART median decline in D-dimer level was − 0.10 ug/mL (IQR: -0.31–0.00) or a 51% reduction (15). The Monitoring of Early Adherence (META) cohort study, conducted in South Africa and Uganda, also showed significant reductions in D-dimer at 12 months after ART initiation among 438 PLHIV.(25) While we examined D-dimer change over the first six months on ART in a cohort of PLHIV with more advanced disease than these previous studies, our results are consistent. Our estimate of mean change in the first six months after treatment initiation is also similar to a study of 100 PLHIV from South Africa with advanced disease which reported significant reductions in D-dimer at six months after ART initiation (-0.12, p < 0.0001).(3) In a cohort of Rwandan women living with HIV, significant reductions in D-dimer levels were observed at two years on ART demonstrating the continued salutary effect of treatment initiation.(21) The decrease in D-dimer levels as a result of treatment can be anticipated to result in favorable outcomes in terms of thrombotic complications and survival.

There are several important strengths of this analysis. As noted, our findings are unique based on the size and setting of the cohort, as well as the measurement of D-dimer and viral load over the first six months of treatment. The large size of this African cohort is important given that the majority of PLHIV receive care in similar settings and the fact that few prior studies have focused on coagulation markers in this population. Our findings demonstrating the effect of ART initiation on D-dimer levels are highly relevant for this population and underscore the importance of treatment initiation to improve long term health outcomes for PLHIV. There are also limitations to our analysis including the relatively short duration of follow-up which did not allow us to examine the durability of the reductions we observed in D-dimer. The sample size also limited our ability to examine associations between baseline and change in D-dimer levels with morbidity and mortality outcomes over time. Our study was conducted prior to the introduction of ‘treat all’ guidelines in Kenya and the cohort is thus representative of the patient population eligible for treatment during that period and reflect outcomes for patients starting the ART regimens recommended at that time.

In summary, while we found important associations with D-dimer levels and baseline characteristics as well as significant reductions in D-dimer following ART initiation, it should be noted that women and those with higher pre-treatment viral load appear to continue to show elevated levels which suggests continued risk for comorbidities including cardiovascular disease (CVD), and may be indicative of ongoing mortality risk.(26) Further research is needed to identify interventions that are effective at decreasing such markers among PLHIV on ART.

3TC Lamivudine

ART Antiretroviral therapy

ARTIC Antiretroviral Therapy and Inflammatory and Coagulation Biomarkers

BMI body mass index

CUMC Columbia University Medical Center

EFV Efavirenz

HIV Human immunodeficiency syndrome

IQR interquartile range

IRB Institutional review board

KEMRI Kenya Medical Research Institute

NNRTI non-nucleoside reverse transcriptase inhibitor

mL milliliter

ng nanograms

NIH National Institutes of Health

OAR Office of AIDS Research

PLHIV People living with HIV

TB Tuberculosis

TDF Tenofovir

VL viral load

WHO World Health Organization

Ethics approval and consent to participate

All participants provided written informed consent to participate in the ARTIC study. The ARTIC study was approved by the Kenya Medical Research Institute (KEMRI) and the Columbia University Medical Center (CUMC) Institutional Review Board (IRB).

Consent for publication

Not applicable

Availability of data and materials

Data from the ARTIC study are available upon request; please contact Allison Zerbe at ICAP at Columbia University, [email protected]

Competing interests

The authors declare no competing interests.

Funding

Research reported in this paper is supported by the National Institutes of Health through the Office of AIDS Research under the terms of Award Number OAR 1B01NIAIDCU52002.

Author contributions

WME, MH, AZ, DC designed the study and oversaw collection of study data, CAT, WME, AZ, CH designed the analysis, CAT, CH conducted the analysis, and all contributed to manuscript writing and review.

Acknowledgements

The authors would like to thank the study participants who made the study possible, the study staff and health facility personnel and administrators who provided care to the participants. Finally, we thank the National Institutes of Health and the Office of AIDS Research for funding this study (OAR 1B01NIAIDCU52002).

Baker JV, Sharma S, Grund B, et al. Systemic Inflammation, Coagulation, and Clinical Risk in the START Trial. Open Forum Infect Dis. 2017;4(4):ofx262.
Boulware DR, Hullsiek KH, Puronen CE, et al. Higher levels of CRP, D-dimer, IL-6, and hyaluronic acid before initiation of antiretroviral therapy (ART) are associated with increased risk of AIDS or death. J Infect Dis. 2011;203(11):1637–46.
Ledwaba L, Tavel JA, Khabo P, et al. Pre-ART levels of inflammation and coagulation markers are strong predictors of death in a South African cohort with advanced HIV disease. PloS One. 2012;7(3):e24243.
Kuller LH, Tracy R, Belloso W, et al. Inflammatory and coagulation biomarkers and mortality in patients with HIV infection. PLoS Medicine. 2008;5(10):e203.
Tenorio AR, Zheng Y, Bosch RJ, et al. Soluble markers of inflammation and coagulation but not T-cell activation predict non-AIDS-defining morbid events during suppressive antiretroviral treatment. J Infect Dis. 2014;210(8):1248–59.
Siedner MJ, Kim JH, Nakku RS, et al. Persistent Immune Activation and Carotid Atherosclerosis in HIV-Infected Ugandans Receiving Antiretroviral Therapy. J Infect Dis. 2016;213(3):370–8.
Lee S, Byakwaga H, Boum Y, et al. Immunologic Pathways That Predict Mortality in HIV-Infected Ugandans Initiating Antiretroviral Therapy. J Infect Dis. 2017;215(8):1270–4.
Sullivan PS, Dworkin MS, Jones JL, Hooper WC. Epidemiology of thrombosis in HIV-infected individuals. The Adult/Adolescent Spectrum of HIV Disease Project. AIDS. 2000;14(3):321–4.
Howard JFB, Rokx C, Smit C, et al. Incidence of a first venous thrombotic event in people with HIV in the Netherlands: a retrospective cohort study. The Lancet HIV. 2019;6(3):e173-e81.
Levine AM, Vigen C, Gravink J, et al. Progressive prothrombotic state in women with advancing HIV disease. J Acquir Immune Defic Syndr. 2006;42(5):572–7.
Funderburg NT. Markers of coagulation and inflammation often remain elevated in ART-treated HIV-infected patients. Curr Opin HIV AIDS. 2014;9(1):80–6.
Carr A, Samaras K, Thorisdottir A, et al. Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: a cohort study. Lancet. 1999;353(9170):2093–9.
Friis-Moller N, Sabin CA, Weber R, et al. Combination antiretroviral therapy and the risk of myocardial infarction. N Engl J Med. 2003;349(21):1993–2003.
Wada NI, Jacobson LP, Margolick JB, et al. The effect of HAART-induced HIV suppression on circulating markers of inflammation and immune activation. AIDS. 2015;29(4):463–71.
Baker JV, Neuhaus J, Duprez D, et al. Changes in inflammatory and coagulation biomarkers: a randomized comparison of immediate versus deferred antiretroviral therapy in patients with HIV infection. J Acquir Immune Defic Syndr. 2011;56(1):36–43.
Castillo-Mancilla JR, Morrow M, et al. Brief Report: Higher ART Adherence Is Associated With Lower Systemic Inflammation in Treatment-Naive Ugandans Who Achieve Virologic Suppression. J Acquir Immune Defic Syndr. 2018;77(5):507–13.
Shivakoti R, Yang WT, Berendes S, et al. Persistently Elevated C-Reactive Protein Level in the First Year of Antiretroviral Therapy, Despite Virologic Suppression, Is Associated With HIV Disease Progression in Resource-Constrained Settings. J Infect Dis. 2016;213(7):1074–8.
Kenya National, AIDS & STI Contorl Program. Guidlines on use of antiretroviral drugs for treating and prevening HIV infection: rapid advice. Kenya: Nairobi; 2014.
Bounameaux H, de Moerloose P, Perrier A, Reber G. Plasma measurement of D-dimer as diagnostic aid in suspected venous thromboembolism: an overview. Thromb Haemost. 1994;71(1):1–6.
World Health Organization(WHO). Global health observatory visualization: indicator metadata registry. 2019. Available at: http://apps.who.int/gho/data/node.wrapper.imr?x-id=1.
Kiefer EM, Hoover DR, Shi Q, et al. Longitudinal evaluation of markers of inflammation in HIV-positive and HIV-negative Rwandan women. HIV Med. 2018;19(10):734–44.
Borges AH, O'Connor JL, Phillips AN, et al. Factors associated with D-dimer levels in HIV-infected individuals. PloS One. 2014;9(3):e90978.
Lee AJ, Fowkes GR, Lowe GD, Rumley A. Determinants of fibrin D-dimer in the Edinburgh Artery Study. Arterioscler Thromb Vasc Biol. 1995;15(8):1094–7.
Kabrhel C, Mark Courtney D, Camargo CA, et al. Factors associated with positive D-dimer results in patients evaluated for pulmonary embolism. Acad Emerg Med. 2010;17(6):589–97.
Siedner MJ, Bwana MB, Asiimwe S, et al. Timing of Antiretroviral Therapy and Systemic Inflammation in Sub-Saharan Africa: Results From the META Longitudinal Cohort Study. J Infect Dis. 2019;220(7):1172–7.
Duprez DA, Neuhaus J, Kuller LH, et al. Inflammation, coagulation and cardiovascular disease in HIV-infected individuals. PloS One. 2012;7(9):e44454.

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Changes in D-Dimer after initiation of antiretroviral therapy in adults living with HIV in Kenya

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