Regimen simplification to 2-drug antiretroviral therapy (2-ART) may address potential tolerability issues, increase adherence, and reduce toxicity and potential drug-drug-interactions among people living with HIV-1 (PLWH). However, real-world treatment patterns and characteristics of 2-ART users are unclear.
This retrospective observational cohort study employed a large-scale medical claim database of Japanese hospitals to extract data on 4,293 PLWH aged ≥18 years with diagnosis of HIV and treated with any ART regimens between April 2008 and April 2019. A 2-ART cohort was compared with a 3-drug antiretroviral therapy (3-ART) cohort in terms of population characteristics, comorbid conditions, and treatment patterns. Treatment switching rates were calculated for each cohort followed by sensitivity analysis to confirm the robustness of the findings.
There were 94 individuals identified in the 2-ART cohort. Compared to the standard 3-ART cohort (n = 3,993), the 2-ART cohort was older (median age 53 [IQR 44–64] vs 42 years [IQR 35–50]), with a lower proportion of males (87.2% vs 93.8%), higher Charlson Comorbidity Index (CCI) (median score 6 [IQR 5–8] vs 5 [IQR 4–6]), more co-medications (median 6 [IQR 4–11] vs 3 [IQR 2–7]), and a higher percentage of AIDS-defining conditions (66.0% vs 42.8%). The most common 2-ART were protease inhibitor (PI) + integrase strand transfer inhibitor (INSTI) and non-nucleoside reverse transcriptase inhibitor (NNRTI) + INSTI (33.0% and 31.9%, respectively). Overall, most of the regimens were nucleoside reverse transcriptase inhibitor (NRTI)-sparing (71.3%), with a decreasing trend over time (76.2% to 70.2%). ART regimen switch occurred more often in the 2-ART cohort than in the 3-ART cohort (33.0% vs 21.2%).
Citation: Ruzicka DJ, Kamakura M, Kuroishi N, Oshima N, Yamatani M, Yi J, et al. (2022) Characteristics of 2-drug regimen users living with HIV-1 in a real-world setting: A large-scale medical claim database analysis in Japan. PLoS ONE 17(6): e0269779. https://doi.org/10.1371/journal.pone.0269779
Editor: Wenyu Lin, Harvard Medical School, UNITED STATES
Received: May 31, 2021; Accepted: May 27, 2022; Published: June 14, 2022
Copyright: © 2022 Ruzicka 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.
Data Availability: In this study, we used a de-identified data set provided by Medical Data Vision, Co., Ltd. (MDV), a commercial database provider. No personal information was traceable and the authors did not receive special privileges that others would not have, from the vendor or third parties. As the data are not publicly available, researchers looking to access the data used in this study should contact Medical Data Vision Co., Ltd via their website (http://www.mdv.co.jp/ [Japanese] or https://en.mdv.co.jp/ [English]).
Funding: This study is a company sponsored study, employed authors DJR, NK, NO, MK, MY received salaries and the manuscript was reviewed by company to meet scientific criteria and meet with our areas of interest as a company. Authors contribution for authors employed by the funding organization is described in "Author Contributions". The funding organization did not interfere with study design, data collection and analysis, nor the decision to publish and has an ethical guideline to always publish after a study has been conducted regardless of the outcome of the results.
Competing interests: This study is a company sponsored study, employed authors DJR, NK, NO, MK, MY received salaries and the manuscript was reviewed by company to meet scientific criteria and meet with our areas of interest as a company. SO received research budget from ViiV healthcare and Gilead Sciences, and honorarium for lectures from ViiV Healthcare, Gilead Sciences, and MSD K.K.. Authors contribution for authors employed by the funding organization is described in "Author Contributions". The funding organization did not interfere with study design, data collection and analysis, nor the decision to publish and has an ethical guideline to always publish after a study has been conducted regardless of the outcome of the results. This does not alter our adherence to PLOS ONE policies on sharing data and materials
Antiretroviral therapy (ART) regimens have been credited with increasing the survival of people living with HIV-1 (PLWH) . Three-drug ART regimens (3-ART), which consist of a backbone with two nucleoside reverse transcriptase inhibitors (NRTIs) plus an anchor drug with or without a booster, have become the standard of care (SoC) and treatment for HIV-1 [2, 3]. While advances in ART have been credited with improving survival by decades [4, 5], recent evidence of long-term adverse events (AEs) with 3-ART have been documented , particularly in terms of renal and bone toxicity [7–10] associated with treatment with tenofovir disoproxil fumarate (TDF). Although switches to tenofovir alafenamide (TAF) have been well-documented to result in relative less toxicity [11, 12], the extent of toxicity associated with TAF itself is inconclusive.
Further, rising concerns and studies of polypharmacy and potential drug-drug interactions have been well documented in complex regimens [13–16]. Protease inhibitors (PI) and certain integrase strand transfer inhibitors (INSTI) require additional administration with a booster such as ritonavir or cobicistat to increase their plasma concentrations. Ritonavir and cobicistat are strong non-specific inhibitors of cytochrome P450 (CYP) and other transporters involved in drug metabolism and pharmacokinetics [17, 18]. There is concern that ARTs containing a booster may cause further unknown drug interactions with other co-medications, resulting in toxicity or failure to reach therapeutic concentrations [19, 20]. As ART dosage and compatibility remain complex, such toxicities and complexities have prompted development of drug-sparing strategies with a simplified 2-drug ART regimen (2-ART) in attempt to reduce its negative impact.
In contrast, multi-center clinical trials of 2-ART (dolutegravir plus lamivudine and dolutegravir plus rilpivirine) have demonstrated to have non-inferior efficacy as well as safety compared to 3-ART [21, 22]. Based on the positive impact, there is an increasing diversity of therapies with a 2-drug combination of integrase strand transfer inhibitors (INSTI) plus protease inhibitors (PI) or non-nucleoside reverse transcriptase inhibitors (NNRTI). More ART regimens are being developed and used in real-world settings to tailor to the long-term complexities related to an individual’s genetic background, treatment history, and comorbidities .
In Japan, ART treatment uptake and clinical success among diagnosed HIV individuals, in terms of viral suppression, has been shown to be excellent and in line with UNAIDS/WHO targets of 90% [3, 24, 25]. However, Japanese PLWH have been demonstrated to have unique comorbidities and co-medication patterns . There is limited evidence that switching to 2-ART may improve outcomes . While the practice of regimen switching and reduction is an increasing global trend, the profile and number of individuals receiving 2-ART in real-world practice are not well understood in Japan. This study aimed to characterize individuals who received 2-ART and provide an overview of ART treatment patterns until April 2019 in Japan.
Study design and data source
This study was a retrospective cohort analysis of ART treatment patterns and population characteristics among adult individuals living with HIV on 2-ART compared to 3-ART in Japan. Data were extracted from a hospital-based medical claim database maintained by Medical Data Vision Co., Ltd. (MDV, Tokyo, Japan). The data is from all hospitals included in the MDV hospital panel, which covers 374 acute phase hospitals across regions (approximately 22% of acute phase hospitals in Japan) and approximately 25 million people. The MDV database includes treatment information, including antiretrovirals used, co-medications, and comorbidities, etc., but no laboratory results such as CD4 counts or plasma viral load.
PLWH were included in the analyses if they had a diagnosis of HIV (ICD-10: B20-B24), had been treated with 2- or 3-ART, and were aged ≥18 years. The identification period for treatment index dates was from the first date available in the database (April 2008) to the last available (April 2019). An individual was considered to be on a 2-ART if they were prescribed any two antiretrovirals on the same day, and the first date of their 2-ART was the index date for this cohort. Individuals who did not have any 2-ART during their medical record were eligible for the 3-ART cohort if they were prescribed three antiretrovirals on the same day. The first date of their 3-ART was considered to be the index date for this cohort. Boosting agents (ritonavir or cobicistat) were not counted towards the 2-drug or 3-drug regimen definition and all individuals could only be classified into one cohort. Individuals were excluded if they were treated with a C-C chemokine receptor type 5 (CCR5) antagonist or two antiretrovirals in the same class as their index 2-ART because they are not SoC. Additionally, individuals treated with any regimens outside of 1) INSTI+2NRTI, 2) PI+2NRTI, or 3) NNRTI+2NRTI during their index 3-ART were excluded as they are also not SoC.
Demographic and clinical characteristics for the 2-ART cohort were stratified by three time periods to assess possible temporal changes due to novel drug access in Japan: April 1, 2008 to September 30, 2014 (representative of 1st generation INSTI availability, mainly raltegravir), October 1, 2014 to June 30, 2016 (representative of 2nd generation INSTI availability, including dolutegravir), and July 1, 2016 to April 30, 2019 (last available data period, representative of TAF availability as a novel prodrug of tenofovir to reduce toxicities). All drug classes and combinations were also tabulated for all individuals. To describe treatment characteristics, average gap (in days) between 2-ART and the total average duration of treatment were calculated from regimen initiation to last ART prescription in the database. Time to index regimen for the 2-ART cohort was calculated as the time from individuals’ first ART (prior to 2-drug initiation) to their index date.
The analyses compared population characteristics on 2-ART with those with 3-ART. Population profiles consisted of demographics (age at index, gender, year of index date), co-medications, and comorbidities (hemophilia, AIDS-defining conditions, modified Charlson Comorbidity Index (CCI)). Modified CCI is severity indicator which is able to predict one-year mortality among hospitalized patients by weighting 17 different comorbid conditions (e.g. myocardial infarction, congestive heart failure), and has been validated using Japanese data . Upon its validation, the CCI has been widely used as a comorbidity and severity indicator regardless of hospitalization status. All diseases and comorbidities were identified using ICD-10 codes or Japanese disease codes as available in the data. Additionally, all 2- and 3-drug combinations observed for each cohort were tabulated. These combinations were described by drug class: INSTI, PI, NNRTI, and NRTI. Regimens that did not contain any NRTIs were considered to be NRTI-sparing regimens in alignment with the definition of U.S. Department of Health and Human Services .
ART regimen switch.
Two- and 3-ART switch patterns were also assessed from their index date. Individuals were considered to have switched their drug regimen if they had any change to their index regimen, such as an addition, removal, or exchange of a drug. Treatment switch rules were the same for both cohorts. However, it is noted that for individuals on 3-ART, they cannot switch to a 2-ART at any point by definition, since any evidence of 2-ART in an individual’s record would classify that person in the 2-ART cohort to begin with. In order to capture true switches, regimen changes were only counted as switches if they lasted for more than 90 days. Individuals on both 2- and 3-ART were considered to have switched even if they remained on the same number of drugs, as long as a change in any component of their regimen was present. Specific transitions were not considered switches: the same regimen with only tenofovir disoproxil fumarate (TDF) switched to TAF, the same regimen with changes in dosing, or the same regimen with an added/switched booster. Switch rate was defined as number of individuals who switched divided by total person years. Total person-years for treatment switches was time from index treatment initiation to the first treatment switch, whereas person-years for individuals who did not switch was defined as time from the first treatment initiation to the last ART prescription during the study period. The switch rate and time-to-next-switch were calculated from the index date to the individual’s next treatment switch, the last ART claim in the database, or end of the study period, whichever occurs first. The switch rate observed in among both cohorts were compared.
Finally, a sensitivity analysis of switching was performed to make comparisons among individuals with at least one switch and with similar follow-up time after the switch. As described in S1 Fig, only individuals on 2-ART with at least one antiretroviral drug prior to their index date and individuals on 3-ART with at least 1 switch after their index date were included to ensure that the starting point of switch analysis would be after at least one switch and only assessed for treatment experienced individuals. In addition, only individuals with at least one year of follow-up data were included to ensure that potential switches could be captured in the data. In the switch sensitivity analyses, the switch index date was set to patient’s first switch for the 3-ART cohort and the switch rate was calculated from the time of the first switch to their next switch.
All statistical analysis was completed on SAS version 9.4 (SAS Institute Inc., Cary, USA). All descriptive data were presented as frequencies for categorical variables and mean (standard deviation [SD]) or median [Q1, Q3] for continuous variables. Comparisons were made using the chi-square and t-tests, respectively. Time-to-first switch is presented using Kaplan-Meier curves and 95% confidence limits of the switch rate were calculated assuming a Poisson distribution. Multivariable analyses were conducted to explore the differences in comedications, AIDS-defining conditions, and CCI score using age, gender, and index year cluster as covariates. Logistic regression was utilized in a model for any comedications and AIDS-defining conditions, and linear regression was utilized for the CCI score.
Ethics approval and consent to participate
The study protocol was reviewed and approved by the Rinsyou Kenkyuu Suishin Network Japan Ethics Committee (Approval Number: 518-NIS-8422). The Japanese Ethical Guidelines for Medical and Health Research Involving Human Subjects (http://www.mhlw.go.jp/file/06-Seisakujouhou-10600000-Daijinkanboukouseikagakuka/0000153339.pdf) do not apply to studies exclusively using de-identified data, so we were not obligated to obtain informed consent in this study.
For the study period between April 1, 2008, and April 30, 2019, a total of 8,813 individuals with a diagnosis of HIV were identified. Among them, 4,513 cases were excluded because of lack of an ART record. From the remaining 4,300 cases, all eligible cases were selected according to inclusion/exclusion criteria and a final 4,087 individuals were analyzed in this study. The flow of the process was illustrated in Fig 1. Among the included individuals, 94 (2.3%) received a 2-ART on their index date and were classified as the 2-ART cohort. There were 3,993 (97.7%) individuals who received a 3-ART and were classified as the 3-ART cohort. The median duration of follow-up was 712 days and 701 days in the 2-ART cohort and the 3-ART cohort, respectively.
Baseline and clinical overview
Of the 94 individuals in the 2-ART cohort, the median age (IQR) was 53 years (44, 64 years) and 87.2% were male. In contrast, the 3-ART cohort was significantly younger with the median age (IQR) of 42 years (35, 50 years) and included significantly more males (93.8%). The proportion of individuals having hemophilia was greater in the 2-ART cohort than in the 3-ART cohort (12.8% vs. 2.1%; p<0.001) (Table 1).
Of individuals in the 2-ART cohort, 92.6% had been prescribed at least one class of co-medication with the median (IQR) of 6 different co-medication classes (4, 11 classes) (based on ATC level 4 code) during the follow-up period. The top five most common co-medication classes were proton pump inhibitors, angiotensin II antagonists, calcium antagonists, anti-gout preparations, and non-barbiturates and statins [S1 Table]. In contrast, 75.0% of individuals in the 3-ART cohort have been prescribed a co-medication, with a lower median (IQR) number of different co-medication classes of 3 (2, 7 classes) (p<0.01) [Table 1, S2 Fig]. The most commonly prescribed co-medications in the 3-ART cohort included systemic antihistamines, non-barbiturates, proton pump inhibitors, non-steroidal anti-rheumatics, and other anti-ulcerants. After accounting for potential differences in age, gender, and year of initiation, the 2-ART cohort remained more likely to have at least 1 comedication compared to the 3-ART cohort [S2 Table].
AIDS-defining conditions varied between the 2- and 3-ART cohorts; 66.0% of individuals on 2-ART had an AIDS-defining condition compared with 42.8% of those on 3-ART [S3 Table]. AIDS-defining conditions other than an AIDS diagnosis were present in 42.6% and 31.6% of individuals in the 2- and 3-ART cohorts, respectively. A diagnostic code for AIDS itself was found in 52.1% and 24.8% of the 2- and 3-ART cohorts, respectively. The top 5 most common AIDS-defining conditions other than AIDS itself was the same for both cohorts: pneumocystis (20.2% and 22.1%), cytomegalovirus disease (17.0% and 10.5%), tuberculosis (6.4% and 6.4%), non-Hodgkin lymphoma (4.3% and 3.2%), and encephalopathy (4.3% and 2.5%). After accounting for potential differences in age, gender, and year of initiation, the 2-ART cohort remained significantly more likely to have at least 1 AIDS-defining compared to the 3-ART cohort [S3 Table]. Similar to comedications, older age and earlier year cluster of initiation were also observed to be significantly associated with having an AIDS-defining condition.
Nearly all Charlson comorbid conditions were more prevalent in the 2-ART cohort than in the 3-ART cohort (median score 6 vs. 5), with the largest differences found for mild liver disease (43.6% vs. 33.3%), congestive heart failure (26.6% vs. 5.1%), renal disease (34.0% vs. 4.8%), diabetes with chronic complications (19.2% vs. 4.1%), and malignancies (17.0% vs. 7.4%) (Table 1). In addition, the 2-ART cohort also showed a significantly higher prevalence of all other relevant systemic diseases, except for psychiatric disorders and hepatitis B/C co-infection. In multivariable analysis, the difference in CCI score remained significantly higher for the 2-ART cohort, older age, males, and 1st index year cluster (compared to last year cluster).
Among individuals on a 2-ART, NRTI-sparing regimens comprised the majority of all 2-ARTs (71.3%) (Fig 2A). Overall, the most common class combinations for this cohort were PI+INSTI (33.0%) and NNRTI+INSTI (31.9%). Among those treated with a 3-ART, the most common drug class combinations were INSTI+2NRTI (66.6%), followed by PI+2NRTI (20.5%) and NNRTI+2NRTI (12.9%). The top common antiretroviral drug combinations for both cohorts are presented in [S4 Table].
(a.) Treatment patterns by drug combination regimen at index date. (b.) Drug combinations over three periods for the 2-drug cohort.
The 2-ART cohort comprised of 1.9% of all individuals from April 1, 2008 to September 30, 2014 (representative of 1st generation INSTI), 5.8% between October 1, 2014 and June 30, 2016 (representative of 2nd generation INSTI), and 1.8% between July 1, 2016 and April 30, 2019 (representative of TAF). Among those in the 2-ART cohort, NRTI-sparing regimens were frequently found in all time periods examined (Fig 2B). Within the 2-ART cohort, the first time period (April 1, 2008 to September 30, 2014) had the highest proportion of NRTI-sparing regimens (76.2%), with the proportion decreasing slightly to 69.2% in the second time period (October 1, 2014 to June 30, 2016), then leveling out at 70.2% in the last time period (July 1, 2016 to April 30, 2019). Over time, there was a shift in drug class among NRTI-sparing regimens among the 2-ART cohort. Specifically, PI+INSTI (61.9%) regimens were dominant in the first time period (April 1, 2008 to September 30, 2014), but NNRTI+ INSTI regimens were most common from October 1, 2014 to April 30, 2019.
ART regimen switch occurred more often in the 2-ART cohort (33.0%; 31/94) than in the 3-ART cohort (21.2%; 845/3993). The switch rate was 20.88 switches/100 person-years (95% CI: 14.68–29.68) in the 2-ART cohort, and 10.34 switches/100 person-years (95% CI: 9.66–11.06) in the 3-ART cohort; however, no statistical comparisons were made (Table 2). In the time-to-switch analysis, around 25% of individuals in the 2-ART cohort had their first switch within one year, while only 10% of individuals in the 3-ART cohort had their first switch within one year. As presented in the Kaplan-Meier curve, the higher switch rate in the 2-ART cohort was most evident prior to year 5 of follow-up. However, due to the small cohort sample, long-term switch rates were more difficult to evaluate [S3 Fig].
Of all switches in the 2-ART cohort, 77.4% (24/31) was from 2-ART to 3-ART (Table 2). All switch patterns for the 2-ART cohort are presented in [S4 Fig]. The most common switching patterns were from PI+NRTI to PI+2NRTI and PI+INSTI to INSTI+2NRTI. Only 9.7% (3/31) of all switches in the 2-ART cohort were from a 2-ART to another 2-ART. In the 3-ART cohort, because individuals could not switch to a 2-ART by definition, 98.5% (832/845) of all switches were to another 3-ART (rather than to a 1- or 4-drug regimen). The most prevalent switch pattern was from PI+2NRTI to INSTI+2NRTI. About 1% of 3-ART cohort who switched changed to a 4-drug regimen, such as adding a PI to INSTI+2NRTI regimen.
Sensitivity analysis demonstrated that in the subset of individuals with at least 1 year follow-up and 1 prior switch at the starting point of assessment, the switch rate (per 100 person-years (PY)) was higher among the 2-ART cohort (29.24/PY; 95% CI: 18.65–45.84/PY) compared to the 3-ART cohort (5.67/PY; 95% CI: 4.71–6.83/PY).
Although real-world studies of 2-drug regimens exist [30–33], this is the first study in Japan to assess characteristics of PLWH on 2-drug regimens compared with those on the standard 3-ART regimens in a real-world setting to our knowledge. Despite the small number of individuals in the 2-ART cohort, and that they were more experienced at the index date, individuals on a 2-ART were significantly older, received a larger number of co-medications, and had a higher CCI score as well as higher proportion of individuals with AIDS-defining conditions, compared with individuals on a 3-ART.
These characteristics suggest that disease status was more severe and complicated in individuals on a 2-ART. In addition, hypertension, diabetes, lipid disorders, renal disease and congestive heart failure were significantly higher in the 2-ART cohort compared with 3-ART cohort. Similar comorbidities were highlighted in a review of multi-comorbidities in PLWH . It was also proposed in the review that clinical reassessment be scheduled for at-risk individuals, defined as those who are older than 50 years, have 2 or more comorbidities or receiving polypharmacy (generally considered as 6 or more medications). Another study also indicated that multi-comorbidities were higher in the 2-ART cohort compared with 3-ART cohort . They also found that individuals initiating 2-ART were older and had shorter time-to-discontinuation . These differences, especially older age and more comorbidities, are also well established in recent real world comparisons [31–33]. The significantly higher proportion of renal disease, hemodialysis and bone disorders in the 2-ART cohort compared with 3-ART cohort might be a reason for the choice of NRTI-sparing regimen. Some studies have demonstrated that greater decrease in renal function and bone mineral density (BMD) were observed in subjects treated with TDF-containing regimens than were observed in subjects treated with TDF-sparing regimens. TDF was well known to cause proximal tubular and renal toxicities, especially in individuals with low body weight not only in Japanese but also in Vietnamese populations [35–37], and were irreversible after a certain period of TDF use . NRTI-sparing regimen comprised the majority of all 2-ARTs in our study, which might suggest that TDF-sparing strategies were adopted to avoid these toxicities. Thus, resorting to non-standard regimens based on individuals’ more complex and sicker profiles reflect the strategy that we refer to as “negative selection”. In contrast, individuals who are not as sick as the population identified in our study may be also placed on 2-ART regimens an option, especially for naïve individuals or treatment-experienced individuals with few complications as these could be switches for convenience. We refer to 2-ART regimen selection of this nature as “positive selection”.
When stratifying by time periods that reflected the commercial availability of specific antiretrovirals in Japan, there was a shift in drug class among the NRTI-sparing regimens from PI + INSTI regimens to NNRTI + INSTI regimens between 2008 to 2019. With increase in variety of ART treatment options, 2-ART combinations seemed to be personalized to individuals and have become diverse. Accordingly, the shift to NNRTI + INSTI as represented by “dolutegravir + rilpivirine” has increased as a new NRTI-sparing regimen. The most common switching pattern of NRTI-sparing regimen with PI + INSTI to standard 3-ART with INSTI + 2NRTI might have occurred because a randomized study (NEAT001/ANRS143) suggested that “raltegravir + darunavir/ritonavir” group have more failures in individuals with low baseline CD4 cell count . Since this is a retrospective study and contains only data up to April 2019, as the landscape of 2-drug therapy is shifting in Japan, the treatment patterns and utilization profiles of 2-ART also need to be revisited as more data become available, especially with the approval of dolutegravir sodium/rilpivirine hydrochloride in late 2018 and the approval of dolutegravir sodium/lamivudine in 2020.
In the current study, individuals in the 2-ART had a switch rate approximately two times higher than the 3-ART cohort, indicating some potential challenges in managing individuals on 2-ART. Our study has clearly characterized individuals on 2-ART might be difficult to treat regardless of 2 or 3-ART. Several studies on 2-ART have demonstrated heterogeneous efficacy results [40–42], some demonstrating inferiority compared to SoC. However, recently several 2-ARTs have demonstrated non-inferiority and have been approved in several countries. Since these studies were usually randomized controlled trials with a very controlled patient population, data from real-world settings will need to demonstrate the robustness of these regimens. Although the MDV database is not completely representative of the general Japanese HIV population due to its use of acute hospital data, this study objective was to compare 2-ART and 3-ART regimens, where both groups were identified in the same database. We assume that a similar relationship between the two comparison groups would hold in the general population as well.
There are several limitations inherent in database studies. The MDV database is not representative of all PLWH in general as described. Doctors’ choices of ART regimens or switching strategies may also differ not only among hospitals in the database but also between these hospitals and HIV-specialized facilities. It is also not possible to track individuals as they move between hospitals. Individuals may only receive an HIV diagnosis in an MDV hospital during a medical encounter, but received treatment elsewhere, as observed in cohort attrition from the large drop between HIV diagnoses captured in the database and individuals receiving ART. Similarly, individuals may be considered treatment-naïve based on their first observed therapy in MDV data, but may have received treatment elsewhere. To address this shortfall, sensitivity analysis was performed that required individuals to meet criteria for inclusion as “continuously” receiving care and assessed individuals from their first captured switch in the database. There may still be differential follow-up time between 2-ART and 3-ART cohort beyond one year, a potential remaining source of bias when evaluating switch rates. Limitations also exist with the switch analysis for the 3-ART cohort as, due to limited sample size, any individual on a 2-antiretroviral was classified into the 2-ART cohort. Therefore, a 3-ART switch could not drop to a 2-ART. The causes for switching could not be captured in this retrospective database study, which limits the interpretability and extent of clinical implications of our findings. In addition, with the 2-ART cohort, the index date is the date of initiation of 2-ART, which could be quite far along in their treatment course. Similarly, confounding by indication in assignment to 2-ART and 3-ART regimens cannot be excluded, as concerns regarding drug-drug interactions or the severe disease status of 2-ART are more likely drivers for their regimen assignment. Finally, lab results, such as viral load and CD4+ counts, were not recorded in the database, only the number of the test was recorded. Therefore, the clinical effects of 2- versus 3-ART could not be assessed.
This study was the first step in understanding population profiles and medical needs of those who benefit from 2-ART in Japan. It provides a foundation for future studies to further analyze and explore reasons for switching, as well as identifying those may most benefit from NRTI-sparing regimen. As it is expected that more individuals will receive 2-ART by positive selection in the future, research characterizing the benefits of these regimens is imperative.
In conclusion, PLWH in Japan on 2-ART demonstrated to have complex profiles, were older, and had more comorbidities and co-medications compared to individuals on 3-ART. This highlighted the negative selection of 2-ART regimens and the need for careful management by physicians to reduce treatment-related toxicities until April 2019.
S2 Table. Adjusted analysis of co-medications and comorbidities.
Age was included as a continuous variable and the corresponding OR represents per 1-year increase.
S3 Table. AIDS-defining conditions among each cohort.
All conditions were identified using ICD-10 codes or Japanese disease codes.
S4 Table. Top 10 regimen in 2- and 3-drug regimen cohort.
All regimens listed above may or may not be used with an additional booster; *Tenofovir includes tenofovir disoproxil fumarate and tenofovir alafenamide fumarate.
S3 Fig. Kaplan-Meier curve for time to switch for the 2- and 3-drug regimen cohorts.
We would like to thank William Y.H. Kuan, Russell Miller, and all project members of Syneos Health K.K. for their substantial contributions to statistical analysis, and writing and editorial assistance, provided under contract with MSD K.K., Tokyo, Japan.
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