Literature DB >> 29785614

Cascade of care and factors associated with virological suppression among HIV-positive persons linked to care in the Test and Keep in Care (TAK) project.

Justyna D Kowalska1,2, Magdalena Ankiersztejn-Bartczak3, Leah Shepherd4, Amanda Mocroft4.   

Abstract

INTRODUCTION: Early treatment remains the most effective HIV prevention strategy; poor linkage to care after HIV diagnosis may compromise this benefit. We sought to better understand patient characteristics and their association with virological suppression (VS) following cART initiation.
METHODS: The TAK project collects pre-linkage to care and clinical data on patients diagnosed with HIV in voluntary testing facilities in central Poland. Data collected for persons diagnosed in 2010-2013 were linked with HIV clinic records. Individuals linked to care who commenced cART were followed from until the earliest of first VS (HIV RNA < 50 copies/ml), last visit, death or 6 January 2016. Cox-proportional hazard models were used to identify factors associated with first viral suppression.
RESULTS: 232 persons were HIV positive, 144 (62%, 95% CI 55, 68%) linked to care, 116 (81% of those linked to care, 95% CI 73, 87%) started cART during follow up, of which 113 (97%, 95% CI 93, 99%) achieved VS. Non-PI based regimen (for integrase inhibitors aHR: 5.03: 1.90, 13.32) and HLA B5701-positive (aHR: 3.97: 1.33, 11.85) were associated with higher chance of VS. Unknown syphilis status (aHR: 0.27: 0.13, 0.57) and higher HIV RNA (aHR a tenfold increase: 0.56: 0.42, 0.75) remained associated with lower chance of VS.
CONCLUSIONS: Although a low proportion of persons were linked to care, almost all those linked to care started cART and achieved rapid VS. The high rates of VS were irrespective of prior HIV-associated risk behaviours. Linkage to care remains the highest priority in prevention strategies in central Poland.

Entities:  

Keywords:  Antiretroviral therapy; Cascade of care; HIV; Linkage; Viral suppression

Mesh:

Substances:

Year:  2018        PMID: 29785614      PMCID: PMC6096934          DOI: 10.1007/s15010-018-1154-0

Source DB:  PubMed          Journal:  Infection        ISSN: 0300-8126            Impact factor:   3.553


Introduction

Combination antiretroviral therapy (cART) remains the most effective HIV prevention strategy, if persons with HIV infection are identified, linked to care and receive effective treatment [1, 2]. To significantly reduce the impact of the HIV epidemic, UNAIDS has set the target of achieving at least 90% of persons with HIV diagnosed, 90% of those diagnosed to be linked to care and 90% of those linked to care on effective cART by 2020 [3, 4]. The cascade of care is a straightforward and simple summary of the sequential stages of HIV medical care for people living with HIV; and can be used to identify stages in care to be targeted to curb the epidemic across the whole range of interventions [5, 6]. While the left side of the cascade describes the actions taken for screening for HIV, the right side provides information on effectiveness of treating those who are diagnosed. Taken together, the cascade of care has the power to show the effectiveness of collaboration between public health institutions and medical care providers. This area has been identified as a weak spot for many European countries, especially for Central and Eastern Europe [7]. In our earlier work, we have identified that over 40% of the patients diagnosed in voluntary counselling and testing facilities (VCTs) in central Poland were not linked to care, and this situation did not change during the 4 years of observation [8, 9]. In the present study, our aim was to construct a cascade of care for central Poland. In addition, we investigate the rate of viral suppression, as well as pre-linkage and clinical factors related to it.

Materials and methods

The TAK project collects information on patients diagnosed with HIV in VCTs in central Poland, follows their linkage to care and ongoing routine clinical care [10]. Data collected for persons diagnosed in 2010–2013 in VCTs were linked with HIV clinic records using the western blot test number as a unique identifier. This allows for persons who test positive for HIV to be followed throughout linkage to care and ongoing routine clinical care following their diagnosis. Persons linked to care are managed in accordance with the Polish AIDS Society recommendations [11].

Cascade of care

To set the scene, a complete cascade of care was constructed using the TAK information. The proportion of people living with HIV in Poland (both diagnosed and undiagnosed) is unknown; therefore, the first stage in the cascade was considered to be those who tested positive for HIV at the VCTs (100%). The subsequent stages of the cascade are shown as both percentages according to those who tested positive for HIV (fixed denominator), as well as step wise percentages, i.e., the percentages of HIV-positive people who were linked to care, of those linked to care who started cART, and of those who started cART who achieved VS.

Factors associated with the final stage of the cascade: virological suppression in those who started cART

For the second component of the project, baseline was defined as the date of first cART, defined as three or more antiretroviral drugs including integrase inhibitor (InSTI), protease inhibitor (PI) or non-nucleoside reverse transcriptase inhibitors (NNRTI). People were followed from baseline until first viral suppression, defined as HIV RNA < 50 copies/ml, or censored at last visit, death or 6 Jan 2016, the administrative censoring date. Persons who did not have a HIV RNA and CD4+ count measured at cART start were excluded. The distribution of variables at baseline were shown according to those who did and did not achieve viral suppression. Frequencies and percentages with Chi-squared tests are shown for categorical variables, and median and interquartile range (IQR) with Wilcoxon–Mann–Whitney tests are shown for continuous variables. Kaplan–Meyer curves were used to investigate the time to viral suppression in those who started cART overall as well as stratified by year of starting cART. Univariate and multivariate Cox-proportional hazard models were used to identify factors measured at time of cART initiation which were associated with higher chance of viral suppression. Factors considered for inclusion included age, gender, nationality (Polish vs other), education (high vs lower/unknown), sexual orientation, HIV test location (VCTs vs other), number of HIV tests within the last year, partner’s HIV status, partner’s testing status, number of partners in last year and in the lifetime, condom use with stable partner, condom use with casual partners, having sex under the influence of drugs or alcohol, time to linkage to care, lymphocyte CD3+, CD4+ and CD8+ count, CD4+/CD8+ ratio, year of first cART, HIV RNA at starting cART, syphilis, anti-HCV antibodies and anti-HBc total antibodies (HCV and HBV) status, HIV subtype, HLA B5701 genotype (positive vs negative) and cART regimen. Factors with P < 0.1 in univariate models were included in multivariate models, which were additionally adjusted for age. Factors with a frequency of < 5 in any level were not considered for inclusion in univariate or multivariate models. Basic characteristics of those stopped treatment during follow up were compared according to drug class. Those who stopped were split according to those who switched regimens (defined as stopping the first regimen and starting the second within 7 days) and those who did not restart after stopping. The number and percent of people who stopped their initial regimen as well as the reason for stopping were reported. The study was approved by the Bioethical Committee of the Medical University of Warsaw (AKBE/99/16). Informed consents were not collected due to the anonymous character of VCT testing.

Results

Two hundred and thirty-two persons were tested HIV positive at VCTs and 144 (62%, 95% CI 55, 68) linked to care (Fig. 1). Of those linked to care, 116 (81% 95% CI 73, 87) started cART during follow up, with a median time from linkage to care to starting cART of 6 (IQR 3–9) months. One hundred and thirteen (97%, 95% CI 93, 99%) persons achieved viral suppression in a median time of 5 (IQR 4–5) months (Fig. 2).The median survival time to viral suppression has significantly reduced in more recent calendar years, from a median of 5.42 (95% CI 2.95, 4.89) months in 2010/11, through 4.96 (95% CI 3.74, 6.74) in 2012 and 4.54 (95% CI 3.06, 6.74) in 2013 to 2.17 (95% CI 1.87, 5.03) months in 2014/15 (Fig. 2, P = 0.01).
Fig. 1

Cascade of care for TAK project

Fig. 2

Kaplan–Meier survival curve for time to viral suppression in those who start cART presented for all (left side) and by year of starting cART (right side)

Cascade of care for TAK project Kaplan–Meier survival curve for time to viral suppression in those who start cART presented for all (left side) and by year of starting cART (right side) Of those who started cART 111 (96%) were men, 98 (85%) were of homosexual orientation, 26 (22%) had a positive venereal disease research laboratory test (VDRL) at baseline, 34 (29%) had a partner who had never tested for HIV, 33 (28%) had a HIV-positive partner, 66 (57%) reported always using condoms with casual partners, and 24 (21%) reported having sex on drugs or alcohol. The median age was 32 (IQR 28–37) years, lymphocyte CD4+ count was 353 (260–416) cells/µl and HIV RNA was 4.5 (3.9–5.1) log10 copies/ml at first starting cART (Table 1).
Table 1

Characteristics of persons who were tested HIV positive at VCT, linked to care and started cART stratified by viral suppresion

FactorsTotalN = 116Viral suppressionNo N = 3Viral suppressionYes N = 113P value
Number (%)
Male gender111 (95.7)3 (100)108 (95.6)0.981
Polish nationality112 (96.6)3 (100)109 (96.5)0.983
High education94 (81.0)3 (100)91 (80.5)0.959
Sexual orientation
 Heterosexual12 (10.3)0 (0.0)12 (10.6)0.998
 Homosexual98 (84.5)3 (100)95 (84.1)
 Bisexual6 (5.2)0 (0.0)6 (5.3)
Last test at VCT68 (58.6)2 (66.7)66 (58.4)0.776
At least one HIV test within last year85 (73.3)3 (100)82 (72.6)0.951
Positive HBV status at first cART14 (12.1)0 (0.0)14 (12.4)0.996
Positive HCV status at first cART3 (2.6)0 (0.0)3 (2.7)0.999
Positive syphilis status at first cART26 (22.4)1 (33.3)25 (22.1)0.951
Partner tested for HIV42 (36.2)2 (66.7)40 (35.4)0.92
Partner HIV positive33 (28.4)2 (66.7)31 (27.4)0.18
Always using condom with stable partners56 (48.3)1 (33.3)55 (48.7)0.605
Always using condom with casual partners66 (56.9)1 (33.3)65 (57.5)0.421
Sex on drugs or alcohol24 (20.7)1 (33.3)23 (20.4)0.59
Time to linked to care
 < 1 month89 (76.7)3 (100)86 (76.1)0.996
 1–3 months15 (12.9)0 (0.0)15 (13.3)
 >3 months12 (10.3)0 (0.0)12 (10.6)
HIV Subtype
 A/CRF/OTHER13 (11.2)0 (0.0)13 (11.5)0.998
 B87 (75.0)3 (100)84 (74.3)
 Unknown16 (13.8)0 (0.0)16 (14.2)
Year of first cART
 2010/1124 (20.7)1 (33.3)23 (20.4)0.988
 201228 (24.1)1 (33.3)27 (23.9)
 201339 (33.6)1 (33.3)38 (33.6)
 2014/1525 (21.6)0 (0.0)25 (22.1)
cART regimen type
 PI65 (56.0)2 (66.7)63 (55.8)0.968
 NNRTI44 (37.9)1 (33.3)43 (38.1)
 InSTI7 (6.0)0 (0.0)7 (6.2)
Positive HLA B57015 (4.3)0 (0.0)5 (4.4)0.981
Median(IQR)
 Age in years31.6 (28.1, 37.3)24.5 (23.3, 36.5)31.6 (28.3, 37.4)0.189
 HIV RNA (log10 copies/ml)4.5 (3.9, 5.1)5.1 (4.7, 5.7)4.5 (3.9, 5.1)0.122
 Lymphocytes CD4+ count (cells/mm3)352.5 (259.5, 415.5)523.0 (224.0, 574.0)352.0 (265.0, 405.0)0.361
 Number of casual partners (1 year)3.5 (0.0, 3.5)3.5 (1.0, 3.5)0.823
 Number of partners (lifetime)15.5 (8.0, 35.5)15.5 (3.5, 35.5)15.5 (8.0, 35.5)0.746
 Time to linked to care (years)0.0 (0.0, 0.1)0.0 (0.0, 0.1)0.0 (0.0, 0.1)0.146
Characteristics of persons who were tested HIV positive at VCT, linked to care and started cART stratified by viral suppresion Unadjusted hazard ratios (HR) between both preclinical and clinical factors and viral suppression are shown in Table 2. Those of bisexual orientation had an almost a threefold higher chance of achieving viral suppression relative to those of homosexual orientation (HR 2.97 95% CI 1.27, 6.96). Those with no reported history of sex on drugs and alcohol (HR 1.63 95% CI 1.02, 2.61), HLA B5701 genotype (HR 5.12 95% CI 1.98, 13.26), later year of starting cART and a non-PI based regimen at the time of starting cART also had higher chance of achieving viral suppression. Unknown syphilis (HR 0.46 95% CI 0.25, 0.85), and a higher HIV RNA level (HR For a tenfold increase: 0.61 95% CI 0.49, 0.75) were associated with lower chance of achieving viral suppression. Those who had one or more HIV tests within the last year (P = 0.078), of unknown HCV (P = 0.168) and HBV status (P = 0.064), relative to negative status relative to no disease were borderline associated with higher chance of viral suppression, and were also included in multivariate models.
Table 2

Unadjuste and adjusted hazard ratios for time to first viral suppression defined as HIV RNA < 50 after starting cART

VariableUnivariateMultivariate
HR (95% CI)P valueP valueHR (95% CI)P valueP value
Age at starting cART
 Per year older0.86 (0.67, 1.10)0.2180.2180.77 (0.54, 1.09)0.1380.138
Sexual orientation
 Heterosexual0.89 (0.49, 1.62)0.6980.0370.98 (0.44, 2.17)0.9640.007
 HomosexualReferenceReference
 Bisexual2.97 (1.27, 6.96)0.0124.54 (1.76, 11.68)0.002
Number of tests within last year
 NoneReference0.078Reference0.13
 1 or more0.69 (0.45, 1.04)0.0780.68 (0.41, 1.12)0.13
Year of first cART
 2010/11Reference0.011Reference0.316
 20121.45 (0.82, 2.58)0.2031.80 (0.93, 3.50)0.083
 20131.55 (0.90, 2.68)0.1161.50 (0.81, 2.77)0.195
 2014/152.74 (1.50, 5.01)0.0011.22 (0.56, 2.66)0.614
HBV status at first cART
 Yes0.84 (0.48, 1.49)0.5540.1831.02 (0.47, 2.21)0.9570.708
 NoReferenceReference
 Unknown/missing0.59 (0.33, 1.04)0.070.76 (0.39, 1.49)0.432
HCV status at first cART
 Yes0.77 (0.24, 2.45)0.6630.1681.95 (0.48, 7.86)0.3470.642
 NoReferenceReference
 Unknown/missing0.47 (0.22, 1.04)0.0641.12 (0.43, 2.92)0.815
Syphilis status at first cART
 Yes0.83 (0.52, 1.31)0.4220.0430.91 (0.55, 1.49)0.7020.003
 NoReferenceReference
 Unknown/missing0.46 (0.25, 0.85)0.0130.27 (0.13, 0.57)< 0.001
HIV RNA at starting cART
 Per tenfold higher0.61 (0.49, 0.75)< 0.001< 0.0010.56 (0.42, 0.75)< 0.001< 0.001
Regimen type
 PIReference< 0.001Reference0.003
 NNRTI2.00 (1.34, 2.98)< 0.0011.56 (0.95, 2.57)0.079
 INSTI2.87 (1.30, 6.35)0.0095.03 (1.90, 13.32)0.001
Sex on drugs or alcohol
 No1.63 (1.02, 2.61)0.0410.0411.42 (0.83, 2.43)0.1990.199
 YesReference
HLA B5701
 No/UnknownReference< 0.001
 Yes5.12 (1.98, 13.26)< 0.0013.97 (1.33, 11.85)0.0130.013
Unadjuste and adjusted hazard ratios for time to first viral suppression defined as HIV RNA < 50 after starting cART Variables with P < 0.1 in univariate analysis (listed above) and age were adjusted for in multivariate analyses, and the resulting adjusted HR (aHR) are shown in Table 2. Bisexual orientation relative to homosexual orientation (aHR 4.54 95% CI 1.76, 11.68), a non-PI based regimen (particularly strong for integrase inhibitors aHR 5.03 95% CI 1.90, 13.32) and HLA B5701 positive (aHR 3.97 95% CI 1.33, 11.85) remained associated with higher chance of viral suppression. Unknown syphilis status (relative to no syphilis, aHR: 0.27 95% CI 0.13, 0.57) and higher HIV RNA (aHR a tenfold increase: 0.56 95% CI 0.42, 0.75) remained associated with lower chance of viral suppression. No association remained between number of HIV tests within the last year, year of starting cART, and reported sex on drugs or alcohol after adjustment for other factors (all P > 0.05). Of the 116 people who started cART, 17 (15%) persons stopped their first regimen and 15 of 17 (13%) who stopped started a second regimen within 7 days. A summary of those who stopped their initial regimen is shown in Table 3. Of the 65 people who started on PI based regimen, 10 (15%) stopped treatment, followed by 7 (16%) of those who started NNRTI based regimen, and none of those who started InSTI. Reasons for stopping NNRTI included four (57%) due to hypersensitivity, two (29%) due to patient decision/non adherence, and one (14%) due to toxicity. Most (80%) of those who stopped PI were due to toxicity, one (10%) due to patient decision/non adherence and another one (10%) due to simplification of regimen. Of the two people who did not start a second regimen within 7 days of stopping, one was due to toxicity and one was due to patients decision or non-adherence (Table 3). Further information regarding specific toxicities was not available.
Table 3

Number of persons who stopped first regimen and reasons for stopping

InSTINNRTIPITotal
N % N % N % N %
Started treatment71004410065100116100
Stopped or swapped regimen (ALL)0071610151715
Reason for stopping N (% of those who stopped)
 ARV toxicity00114880953
 ARV failure00000000
 Patient’s decision or non-adherence00229110318
 Other or unknown000011016
 Hypersensitivity0045700424
Stopped regimen and did not restart00114110212
Reason for stopping N (% of those who stopped)
 ARV toxicity00110000150
 Patient’s decision or non-adherence00001100150
Number of persons who stopped first regimen and reasons for stopping

Discussion

In our study, four in ten people who tested HIV positive at the voluntary settings were not linked to care, but almost all those who were linked to care started cART and achieved rapid viral suppression during follow-up. In addition, most of the persons who started treatment in our study remained on the first cART regimen during the observation time. Viral suppression remains the core factor in achieving treatment aims, namely reduction in morbidity/mortality and in HIV transmission. Therefore, we have investigated factors associated with the rate of viral suppression and identified bisexual orientation, HLA B5701 positivity and cART regimen to be significantly associated with faster rate of viral suppression. In earlier TAK analyses bisexual orientation was shown to be negatively associated with linkage to care [9]. In the survey study of sexual behaviours in 13 European cities, including Warsaw, men who have sex with men and women tended to be less open about their own sexual attraction as compared to men who have sex with men only. Furthermore, 60% of participants declared they would not openly admit their attraction to men [12]. This indicates that bisexual persons cannot be considered a homogeneous group, in terms of social behaviours. The association between bisexual orientation and faster viral suppression in the current study might be underpowered, as this group is represented by merely six persons in the studied population, and likely to disappear with a larger sample. Recently there is a trend in focusing on key populations, defined as persons more likely to acquire or transmit HIV and it is considered that their engagement in prevention and educational programs is necessary for achieving better control over the HIV epidemic [13, 14]. The findings of the TAK project underlines that educational programs for the general population should not be omitted in order to decrease stigma and improve linkage to care and antiretroviral therapy intake. Although hetero- and bisexual mode of HIV transmission is far less frequent than homosexual, these two groups are at higher risk of not being linked to care thus remaining at risk of disease progression and HIV transmission [15]. In countries with high HIV fear and stigmatisation many persons with risky behaviour do not consider themselves at risk and do not spontaneously seek for information about HIV [16, 17]. In our study, both InSTI and NNRTI based regimens were associated with over twice faster rate of viral suppression as compared to PI based regiment, even after adjusting for other factors. The InSTI based regimen has been shown to have better efficacy and tolerability with lower treatment discontinuation rate as compared to PI-based regimens [18, 19]. The findings on NNRTI in our study almost in all cases relate to rilpivirine co-formulated with emtricitabine and tenofovir in one pill. Therefore, the observed faster suppression rate may reflect better adherence to one-pill regimen [20]. The impact of HLA B5701 is well in line with our earlier findings showing faster viral suppression after starting cART in persons with the presence of this allele, as well as with studies of long-term nonprogressors [21-23]. However, it needs to be underlined that other non-routinely tested HLA alleles, such as HLA B27 may play a role in natural control over viral replication. Furthermore, we have identified a slower rate of viral suppression in persons with higher baseline HIV RNA, which is a well identified factor for worse or slower response to cART [24]. The unknown syphilis status, indicating ‘no-show’ to test, may also reflect worse compliance to physicians counselling, also resulting in suboptimal adherence and subsequent slower viral suppression in this group of patients [25]. Although genotyping is routinely performed in most of patients before starting cART these data were not collected in this study. Therefore, we cannot determine the role of drug resistance in response to treatment. However, Poland is a country with low prevalence of primary HIV drug resistance [26, 27]. In addition, our data are confirmed by other Polish analyses showing an initial response to first cART of over 90% [4]. There are some limitations of this study which need to be mentioned. Due to short time of follow-up, we were not able to investigate longer term adherence to cART and retention in care. This is an important issue in public health and with increasing follow-up in TAK cohort we plan to investigate it. Secondly, most of our study population is men having sex with men and our findings may not be generalisable to populations with higher representation of women or injecting drug users. In addition, it is important to note that linkage to care was comparatively low compared to the proportion starting cART or responding to cART, and it is likely that patients linked to care have self-selected to engage in HIV care, and the high proportions starting cART and responding to cART reflect this. Finally our multivariate model includes 18 estimated parameters and is based on a sample size of 113 individuals, therefore we cannot completely rule out the possibility that this model has been over-fitted. In addition, given that only three people failed to achieve virological suppression it needs to be underlined that the power to detect differences between the groups might be limited. Viral suppression is required to prevent sexual HIV transmission, therefore the shortest time to achieving viral suppression provides the shortest window of opportunities for onward disease transmission [1]. In this perspective, better understanding of factors influencing time to viral suppression is crucial for controlling the epidemic [28]. In our earlier work, we have shown that the percentage of patient linked to care did not imrpove over calendar years, while the time to starting treatment shortened and the percentage of patients who started cART within 1 year from their first visit in the clinic increased [9]. Here we present that not only the time to starting cART, but also the time to achieving supressed viremia has improved over recent years. This can be contributed to substantial change in the understanding of early cART benefit resulting in physicians initiating treatment irrespective of CD4 count [29, 30]. In addition, wider access to InSTI and one tablet regimens in Poland has facilitated the availability of regimens with better tolerability and reduced pill burden, which may partially contribute to this effect. As a result, the relative benefit received from being linked to care, defined as decreasing morbidity and HIV transmission risk, has substantially increased over the recent years. However, looking at the TAK cascade of care in a step-wise perspective we can see a necessity for improvement from the public health perspective. The current healthcare system in Poland is ready to respond to the HIV epidemic with early treatment and high suppression rates, but interventions increasing the number of people who are aware of their HIV status and assuring they are under specialist care and engage with such care should be a priority. To achieve any significant impact on the epidemic, scaling up HIV testing and linkage to care followed by timely cART initiation must be considered as a holistic action. The modelling study by Phillips et al. suggests that using condoms and effective cART had only a limited effect on the HIV epidemic, until combined with much higher rates of HIV testing [31]. This indicates the importance of close collaboration between often structurally separated agencies and stakeholders [6, 32]. The cascade of care is a helpful tool in this process allowing to both tailor and evaluate interventions. This warrants further investigation and supervision of linkage to care.
  24 in total

1.  Factors responsible for incomplete linkage to care after HIV diagnosis: preliminary results from the Test and Keep in Care (TAK) project.

Authors:  M Ankiersztejn-Bartczak; E Firląg-Burkacka; H Czeszko-Paprocka; J Kubicka; A Cybula; A Horban; J D Kowalska
Journal:  HIV Med       Date:  2014-08-15       Impact factor: 3.180

2.  Transmitted HIV drug resistance in antiretroviral-treatment-naive patients from Poland differs by transmission category and subtype.

Authors:  Miłosz Parczewski; Magdalena Leszczyszyn-Pynka; Magdalena Witak-Jędra; Katarzyna Maciejewska; Weronika Rymer; Aleksandra Szymczak; Bartosz Szetela; Jacek Gąsiorowski; Monika Bociąga-Jasik; Paweł Skwara; Aleksander Garlicki; Anna Grzeszczuk; Magdalena Rogalska; Maria Jankowska; Małgorzata Lemańska; Maria Hlebowicz; Grażyna Barałkiewicz; Iwona Mozer-Lisewska; Renata Mazurek; Władyslaw Lojewski; Edyta Grąbczewska; Anita Olczak; Elżbieta Jabłonowska; Jeremy Clark; Anna Urbańska
Journal:  J Antimicrob Chemother       Date:  2014-09-23       Impact factor: 5.790

Review 3.  Linkage and retention in HIV care among men who have sex with men in the United States.

Authors:  Katerina A Christopoulos; Moupali Das; Grant N Colfax
Journal:  Clin Infect Dis       Date:  2011-01-15       Impact factor: 9.079

4.  Prevention of HIV-1 infection with early antiretroviral therapy.

Authors:  Myron S Cohen; Ying Q Chen; Marybeth McCauley; Theresa Gamble; Mina C Hosseinipour; Nagalingeswaran Kumarasamy; James G Hakim; Johnstone Kumwenda; Beatriz Grinsztejn; Jose H S Pilotto; Sheela V Godbole; Sanjay Mehendale; Suwat Chariyalertsak; Breno R Santos; Kenneth H Mayer; Irving F Hoffman; Susan H Eshleman; Estelle Piwowar-Manning; Lei Wang; Joseph Makhema; Lisa A Mills; Guy de Bruyn; Ian Sanne; Joseph Eron; Joel Gallant; Diane Havlir; Susan Swindells; Heather Ribaudo; Vanessa Elharrar; David Burns; Taha E Taha; Karin Nielsen-Saines; David Celentano; Max Essex; Thomas R Fleming
Journal:  N Engl J Med       Date:  2011-07-18       Impact factor: 91.245

5.  HLA B*5701 is highly associated with restriction of virus replication in a subgroup of HIV-infected long term nonprogressors.

Authors:  S A Migueles; M S Sabbaghian; W L Shupert; M P Bettinotti; F M Marincola; L Martino; C W Hallahan; S M Selig; D Schwartz; J Sullivan; M Connors
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-14       Impact factor: 11.205

6.  The association between poor antiretroviral adherence and unsafe sex: differences by gender and sexual orientation and implications for scale-up of treatment as prevention.

Authors:  Robert H Remien; Curtis Dolezal; Glenn J Wagner; Kathy Goggin; Ira B Wilson; Robert Gross; Marc I Rosen; Jie Shen; Jane M Simoni; Carol E Golin; Julia H Arnsten; David R Bangsberg; Honghu Liu
Journal:  AIDS Behav       Date:  2014-08

7.  [Transmission of HIV-1 drug resistance among newly diagnosed patients in Poland].

Authors:  Grzegorz Piotr Stańczak; Janusz Julian Stańczak; Ewa Firlag-Burkacka; Alicja Wiercińska-Drapało; Magdalena Leszczyszyn-Pynkad; Ewa Jabłonowska; Ewa Małolepsza; Andrzej Horban
Journal:  Przegl Epidemiol       Date:  2007

8.  Why START? Reflections that led to the conduct of this large long-term strategic HIV trial.

Authors:  Jens Lundgren; Abdel Babiker; Fred Gordin; Sean Emery; Gerd Fätkenheuer; Jean-Michel Molina; Robin Wood; James D Neaton
Journal:  HIV Med       Date:  2015-04       Impact factor: 3.180

9.  Antiretroviral therapy recommendations for the global community: aspiration versus reality.

Authors:  Andrew N Phillips; Paula Munderi; Paul A Revill; Wafaa M El-Sadr; Jens D Lundgren
Journal:  AIDS       Date:  2014-04-24       Impact factor: 4.177

10.  Increased HIV incidence in men who have sex with men despite high levels of ART-induced viral suppression: analysis of an extensively documented epidemic.

Authors:  Andrew N Phillips; Valentina Cambiano; Fumiyo Nakagawa; Alison E Brown; Fiona Lampe; Alison Rodger; Alec Miners; Jonathan Elford; Graham Hart; Anne M Johnson; Jens Lundgren; Valerie C Delpech
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

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1.  Transmitted HIV drug resistance and subtype patterns among blood donors in Poland.

Authors:  Miłosz Parczewski; Ewa Sulkowska; Anna Urbańska; Kaja Scheibe; Karol Serwin; Piotr Grabarczyk
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.379

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