Comorbidity and polypharmacy among people with HIV stratified by age, sex, and race.

Background: With an increase in life expectancy of people with HIV, there is a corresponding rise in comorbidities and consequent increases in comedications. Objective: This study compared comorbidity and polypharmacy among people with HIV and people without HIV stratified by age, sex, and race. Methods: This retrospective study utilised administrative claims data to identify adult people with HIV with antiretroviral therapy (ART) claims and HIV diagnosis codes from 01 January 2018 to 31 December 2018. Index date was the earliest ART claim or HIV diagnosis in the absence of ART claims. Inclusion required continuous enrolment for ≥12-month pre-index and ≥30-day post-index, along with ≥1 HIV diagnosis during baseline or follow-up. People with HIV were matched 1:2 with people without HIV on sociodemographic. Results were compared using z-tests with robust standard errors in an ordinary least squares regression or Rao-Scott tests. Results: Study sample comprised 20,256 people with HIV and 40,512 people without HIV. Mean age was 52.3 years, 80.0% males, 45.9% Caucasian, and 28.5% African American. Comorbidities were significantly higher in younger age people with HIV than people without HIV. Female had higher comorbidity across all comorbidities especially younger age people with HIV. Polypharmacy was also significantly greater for people with HIV versus people without HIV across all age categories, and higher in females. Across races, multimorbidity and polypharmacy were significantly greater for people with HIV versus people without HIV. Conclusions: Comorbidities and polypharmacy may increase the risk for adverse drug-drug interactions and individualised HIV management for people with HIV across all demographics is warranted.

Antiretroviral Treatment Gaps and Adherence Among People with HIV in the U.S. Medicare Program.

Approximately one-quarter of people with HIV (PWH) in the U.S. receive coverage through the Medicare program; however, no prior real-world study has examined antiretroviral therapy (ART) gaps and adherence and associated factors in this population. This retrospective cohort analysis used 2013-2018 national Medicare fee-for-service claims data to identify all PWH initiated on a new ART regimen including protease inhibitors [PI], non-nucleoside reverse transcriptase inhibitors [NNRTIs], or integrase strand transfer inhibitors [INSTIs] between 1/1/2014 and 12/31/2017. Study outcomes included ART adherence (based on proportion of days covered [PDC]), continuous treatment gaps ranging from 1 to 6 days to ≥ 180 days, and discontinuation (continuous gap ≥ 90 days) in the 12-month follow-up period. Multivariable regressions were used to assess factors associated with ART adherence and discontinuation. The final sample included 48,627 PWH (mean age: 54.5 years, 74.4% male, 47.5% White, 89.8% disabled). Approximately 53.0% of PWH had a PDC ≥ 0.95, 30.2% had a PDC between 0.70 and < 0.95, and 16.8% had PDC < 0.70. Treatment gaps of at least ≥ 7-days (55.2%) and ≥ 30-days (26.2%) were common and 10.1% PWH discontinued treatment. Younger age, female sex, Black race, higher comorbidity score, mental health conditions, and substance use disorder were associated with higher odds of lower adherence and discontinuation (all p-values < 0.05). In conclusion, suboptimal adherence and treatment gaps in ART use were commonly observed among PWH in Medicare. Interventions and policies to mitigate barriers to adherence are urgently needed in this population to both improve their survival and increase the potential for ending the HIV epidemic in the US.

Antiretroviral therapy among people with HIV with comorbidities in the United States: a retrospective cohort study.

OBJECTIVES: To describe patterns of antiretroviral medications among people with HIV (PWH) who also have common comorbid conditions in a United States cohort. METHODS: This retrospective cohort study used Optum Research Database claims data from 01/01/2017 through 01/31/2019 to identify adult PWH (≥18 years) based on pharmacy claims for ART during 2018. The index date was defined as the first date of an ART claim. Study inclusion required ≥1 HIV/AIDS diagnosis code during the study period, and continuous health plan enrollment 12 months prior to and at least 30 days after the index date. Descriptive statistics were used to report study results. RESULTS: The study population consisted of 17,694 PWH; mean (SD) age 52.2 (12.8) years; 62.0% were ≥ 50 years old. About 50.6% of the study sample had ≥2 comorbidities at baseline. The most prevalent comorbid conditions were hypertension (33.2%), hyperlipidemia (29.7%), neuropsychiatric conditions (26.9%), and cardiovascular disease (11.5%). Most (93.5%) of PWH received a nucleotide reverse transcriptase inhibitor (NRTI) backbone regimen, including tenofovir alafenamide (41.6%), tenofovir disoproxil fumarate (28.1%), and abacavir (22.0%). The most commonly used anchor agents, 62.6%, were integrase strand transfer inhibitors (INSTIs): dolutegravir (30.4%), elvitegravir (24.2%), and raltegravir (7.3%). The proportion of PWH using specific ARTs did not vary significantly with the presence and type of comorbidities. CONCLUSION: From our analyses, ART prescribing did not appear to vary with the presence of comorbidities and potential medication contraindications. ART regimens may have comparable efficacy profiles; however, selection should be guided by each patient's comorbidities to prevent potential comedication drug toxicities.

Hospitalization Among Patients Treated With Molnupiravir: A Retrospective Study of Administrative Data.

PURPOSE: Molnupiravir is an oral antiviral agent authorized for emergency use to treat mild to moderate cases of coronavirus disease 2019 (COVID-19) in adults at high risk for progression to severe clinical outcomes. This study aimed to describe patient characteristics and health outcomes in a cohort of adult patients treated with molnupiravir in an outpatient setting in the United States. METHODS: This was a retrospective cohort study of adults identified in the HealthVerity database with a pharmacy claim for molnupiravir between December 24, 2021, and April 14, 2022. Hospitalization and health care use were assessed over the 28 days after the molnupiravir pharmacy claim. FINDINGS: Among 26,554 patients identified, 71.1% were aged ≥50 years and 58.9% were female. A total of 8794 patients (33.1%) had received at least 1 dose of the COVID-19 vaccine. The most prevalent risk factors for severe COVID-19 identified were hypertension (45.1%), steroid and/or immunosuppressant use (39.6%), and being obese or overweight (24.6%), with 79.1% of patients having ≥1 risk factor. The majority (61.0%) of patients were prescribed comedications contraindicated with or had the potential for major drug-drug interactions with ritonavir-containing regimens. Within 28 days after initiating molnupiravir, 3.3% of patients were hospitalized for any cause and 1.7% for COVID-19-related reasons. Among all hospitalized patients, 9.2% were admitted to an intensive care unit, 3.9% received oxygen, and 3.8% required mechanical ventilation. IMPLICATIONS: The majority of patients treated with molnupiravir in early 2022 had at least one risk factor for severe COVID-19 and had comedications that could require treatment modification or monitoring if given a ritonavir-containing regimen. Hospitalization was uncommon after treatment with molnupiravir, with COVID-19-related inpatient admission in <2% of patients. Among those hospitalized, patient use of intensive care and oxygen-based resources was infrequent. The study design, however, does not permit any conclusions regarding the effectiveness of molnupiravir.

Weight gain following switch to integrase inhibitors from non-nucleoside reverse transcriptase or protease inhibitors in people living with HIV in the United States: analyses of electronic medical records and prescription claims.

OBJECTIVES: Real-world data evaluating weight changes in people living with HIV (PLWH) following switch to integrase strand transfer inhibitor (INSTI), specifically bictegravir (BIC), are limited. This retrospective cohort study analyzed weight changes upon switching to INSTI from non-nucleoside reverse transcriptase inhibitor (NNRTI) or protease inhibitor (PI) in treatment-experienced PLWH. METHODS: Adult PLWH (≥18 years) treated with NNRTI or PI (non-switch cohorts) and those switching to INSTI (switch cohorts) between January 1, 2014 and August 31, 2019 were identified using IQVIA's Ambulatory Electronic Medical Records linked to a prescription drug claims database. The associations of switching to INSTI and individual INSTI agents with having ≥5% weight gain at 12 months of follow-up were evaluated, adjusting for demographics and baseline clinical characteristics. RESULTS: At 12 months of follow-up, PLWH in the NNRTI-INSTI switch cohort (n = 508) were more likely to have ≥5% weight gain over 12 months compared to the NNRTI non-switch cohort (n = 614; odds ratio, OR [95% CI], 1.7 [1.2-2.4]). Switching from NNRTI to dolutegravir (DTG: OR [95% CI], 2.1 [1.4-3.0]) or BIC (2.0 [1.0-4.2]) resulted in significantly higher odds of ≥5% weight gain. PI-INSTI switch (n = 295) and non-switch (n = 228) cohorts had similar proportions of PLWH with ≥5% (21.1-23.4%) or ≥10% (7.8-7.9%) weight gain, and no significant association was found between switching from PI to INSTI and weight gain. CONCLUSION: Weight gain and related metabolic health of PLWH switching from NNRTI to DTG or BIC should be closely monitored by clinicians. Further research is needed to assess other metabolic outcomes in PLWH remaining on PI and those who switch from PI to INSTI.

Weight gain after antiretroviral therapy initiation in people living with HIV in the United States: analyses of electronic medical records and prescription claims.

BACKGROUND: Treatment guidelines recommend integrase strand transfer inhibitor (INSTI)-based antiretroviral therapy (ART) regimens for treatment naïve people living with HIV (PLWH) in the United States (US). This retrospective database study compared weight changes following initiation of INSTI-, non-nucleoside reverse transcriptase inhibitor (NNRTI)-, or protease inhibitor (PI)-based ART in treatment-naïve PLWH. METHODS: Adult (≥18 years) PLWH initiated on INSTI, NNRTI, or PI plus ≥2 nucleoside reverse transcriptase inhibitors (NRTI) between 1 January 2014 to 31 August 2019 were identified in IQVIA's Ambulatory Electronic Medical Records (AEMR) linked to prescription drug claims (LRx). Weight changes over up to 36 months (M) of follow-up were compared among PLWH on INSTI- vs. NNRTI- and PI-based ART separately using non-linear mixed effect models, adjusting for demographics and baseline clinical characteristics. RESULTS: The INSTI, NNRTI, and PI cohorts included 931, 245, and 124 PLWH, respectively. For all three cohorts, the majority were male (78.2-81.2%) and overweight/obese (53.6-61.6%) at baseline; 40.8-45.2% of the groups were African American. The INSTI vs. NNRTI/PI cohorts were younger (median age: 38 years vs. 44 years/46 years), had lower weight at ART initiation (mean: 80.9 kg vs. 85.7 kg/85.0 kg), and had higher TAF usage during follow-up (55.6% vs. 24.1%/25.8%; all p < .05). Multivariate models showed higher weight gain among PLWH in INSTI vs. NNRTI and PI cohorts during treated follow-up (estimated weight gain after 36 M: 7.1 kg vs. 3.8 kg and 3.8 kg, both p < .05). CONCLUSION: Study findings highlight the need to monitor an increase in weight and potential metabolic complications among PLWH starting ART with INSTI.

Body mass index and quality of life in people living with HIV.

With advances in the treatment of HIV, people living with HIV (PLWH) are now expected to have a near-normal life expectancy, but challenges remain in the form of substantially poorer health-related quality of life (HRQoL) than the general population. Being overweight or obese may pose an additional burden in PLWH, but few studies have evaluated the relationship between body mass index (BMI) and HRQoL in PLWH. This study aimed to evaluate and describe the association between HRQoL and BMI among PLWH in the US. Data were obtained from the 2018 and 2019 US National Health and Wellness Survey, an online, self-reported, general population survey. Analyses included 575 PLWH who self-reported a physician diagnosis and prescription use for the treatment of HIV, as well as 1725 propensity score matched non-HIV controls. After adjusting for age, sex, race, and comorbidities, higher BMI was associated with poorer physical (ß = -0.18, p = 0.005) and general (ß = -0.42, p = 0.014) HRQoL among PLWH. Additionally, PLWH reported poorer mental, physical, and general HRQoL than non-HIV controls; these relationships were not moderated by BMI. The potential negative impact of higher BMI on patients' humanistic outcomes should be considered in HIV management, including selection of treatment.

Comorbidity and comedication burden among people living with HIV in the United States.

OBJECTIVE: To describe the burden of comorbid conditions and comedications among people living with HIV (PLWH) vs. people living without HIV (PLWoH). METHODS: This was a case-control study conducted among insured patients using administrative claims data. Adult PLWH were identified by antiretroviral therapy (ART) claims or HIV/AIDS diagnosis codes from 1 January 2018 to 31 December 2018 (index date was set by the earliest claim). Continuous enrollment was required for ≥12 months pre-index (baseline) and ≥30 days post-index (follow-up). Patients were required to have ≥1 HIV diagnosis during baseline or follow-up. Those with only HIV prophylaxis were excluded. PLWoH were matched 2:1 to PLWH on demographic characteristics. Study outcomes were compared using z-tests with robust standard errors in an ordinary least squares regression or Rao-Scott tests. RESULTS: The study included 20,256 PLWH and 40,512 matched PLWoH, mean age 52 years. PLWH vs. PLWoH had higher mean (SD) Charlson comorbidity index scores (0.93 [1.59] vs. 0.61 [1.28]; p < .001) and a greater proportion had ≥1 comorbidity (69.1% vs. 54.5%, p < .001). The most prevalent comorbidities included hypertension (33.9% vs. 32.2%; p < .001), hyperlipidemia (29.4% vs. 24.6%; p < .001), chronic kidney disease (13.6% vs. 9.4%, p < .001), depression (13.1% vs. 7.3%, p < .001) and substance abuse (12.8% vs. 7.1%, p < .001). Mean (SD) non-ART prescription fills were higher among PLWH vs. PLWoH (11.9 [10.1] vs. 9.2 [9.4]; p < .001). CONCLUSIONS: Multimorbidity and polypharmacy were more prevalent among PLWH vs. matched PLWoH. Findings support the need to consider comorbidities and comedications when choosing ART and to minimize drug-drug interactions and adverse events to improve patient outcomes.

Lipid Changes After Switch From TDF to TAF in the OPERA Cohort: LDL Cholesterol and Triglycerides.

BACKGROUND: Increases in lipids have been observed in people with HIV (PWH) switching from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF). We assessed changes in low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG) following a switch from TDF to TAF. METHODS: Adults with ≥1 lipid measure before and after switch from TDF to TAF were identified in the OPERA cohort. Multivariable linear regression using generalized estimating equations was used to estimate predicted changes in lipids over time on TAF, modeled flexibly with linear splines. RESULTS: A total of 6451 PWH switched from TDF to TAF, of whom 4328 maintained all other agents. LDL-C increased significantly by 1.40 mg/dL/mo over the first 3 months on TAF, by 0.33 mg/dL/mo between 3 and 9 months and then plateauing beyond 9 months. TG increased significantly by 3.52 mg/dL/mo over the first 3 months of TAF, by 0.91 mg/mL/mo between 3 and 9 months and by 0.72 mg/mL/mo between 9 and 16 months, but decreased thereafter. Similar patterns were observed in analyses restricted to PWH who switched from TDF to TAF but maintained all other agents. CONCLUSIONS: TDF-to-TAF switch was associated with LDL-C and TG increases over the first 9 to 16 months on TAF. The dynamic patterns observed cannot be attributed to changes in other agents.

Switch from Tenofovir Disoproxil Fumarate to Tenofovir Alafenamide in People Living with HIV: Lipid Changes and Statin Underutilization.

BACKGROUND AND OBJECTIVE: Many people living with HIV (PLWH) on stable tenofovir disoproxil fumarate (TDF)-containing regimens have switched to tenofovir alafenamide (TAF), despite the potential lipid-lowering effect of TDF. We aimed to assess the impact of switching from TDF to TAF on lipids in real-world clinical practice. METHODS: PLWH prescribed TDF for ≥ 4 weeks who switched to TAF were identified in the OPERA cohort. Patterns of dyslipidemia were compared before and after switch based on NCEP ATPIII guidelines. Elevated 10-year risk of atherosclerotic cardiovascular disease (ASCVD ≥ 7.5%) and statin use were assessed. RESULTS: Among 6423 PLWH switched from TDF to TAF, the proportion with dyslipidemia/severe dyslipidemia observed after switch from TDF to TAF increased statistically significantly (p < 0.0001) with total cholesterol (5-10%), low-density lipoprotein cholesterol (16-23%), and triglycerides (21-27%), but decreased statistically significantly with high-density lipoprotein cholesterol (35-30%, p < 0.0001). These patterns of dyslipidemia persisted in sensitivity analyses restricted to PLWH who maintained all other antiretrovirals (N = 4328) or stratified by pharmaco-enhancer use before and after switch. An elevated ASCVD risk was detected in 29% before and 31% after switch. As many as 59% of PLWH with an elevated ASCVD risk were not prescribed a statin after switch from TDF to TAF. CONCLUSIONS: In this large, diverse population of PLWH in the USA, the switch from TDF to TAF was associated with development of less favorable lipid profiles, regardless of pharmaco-enhancers or third-agent use. Statins remained underutilized after a switch from TDF to TAF.

Weight gain before and after switch from TDF to TAF in a U.S. cohort study.

INTRODUCTION: Although weight gain has been reported with the use of integrase strand transfer inhibitors (InSTI), concurrent use of tenofovir alafenamide (TAF) has been implicated in recent studies. This study examined weight changes in people living with HIV (PLWH) who switched from tenofovir disoproxil fumarate (TDF) to TAF, to clarify the relative contribution to weight gain of core agents versus TDF to TAF switch. METHODS: Antiretroviral-experienced, virologically suppressed PLWH in the U.S. OPERA cohort were included if they switched from TDF to TAF (5NOV2015-28FEB2019) and either maintained all other antiretrovirals or switched from a non-InSTI to an InSTI. Linear mixed models were used to assess weight changes before/after the switch to TAF (restricted cubic splines on time) and rates of change over time (linear splines on time, based on the shape of the weight change curves). Changes in weight on TDF or TAF were assessed among those who maintained other antiretrovirals (overall, by core class), and those who maintained an InSTI or switched to an InSTI (by core agent). All models were adjusted for age, sex, race, (age-sex, race-sex interactions), BMI, CD4 cell count, endocrine disorders and concurrent medications that could affect weight. RESULTS: A total of 6908 PLWH were included, with 5479 maintaining all other antiretrovirals (boosted protease inhibitor: 746, non-nucleoside reverse transcriptase inhibitor: 1452, InSTI: 3281) and 1429 switching from a non-InSTI to an InSTI (elvitegravir/cobicistat: 1120, dolutegravir: 174, bictegravir: 129). In adjusted models, modest weight gain was observed over time on TDF for most (0.24 to 0.71 kg/year); raltegravir was the exception with weight loss. Switching to TAF was associated with early, pronounced weight gain for all (1.80 to 4.47 kg/year). This effect with TAF switch was observed both in PLWH maintaining other antiretrovirals and those switching to an InSTI, regardless of which InSTI agent was used. Weight gain tended to slow down or plateau approximately nine months after switch to TAF. CONCLUSIONS: In this large, diverse U.S. cohort of PLWH, switching from TDF to TAF was associated with pronounced weight gain immediately after switch, regardless of the core class or core agent, suggesting an independent effect of TAF on weight gain.

Healthcare resource utilization and costs in patients with HIV-1 who switched first-line antiretroviral therapy.

Objectives: This study compared healthcare utilization and costs associated with switching the first-line protease inhibitor (PI) or non-nucleoside reverse transcriptase inhibitor (NNRTI) based antiretroviral (ARV) regimen due to reasons other than virologic failure among patients with HIV-1. Methods: This was a retrospective analysis of commercial and Medicare Advantage with Part D enrollees in two US administrative claims databases. The study population comprised adults with HIV-1 infection initiating antiretroviral therapy (ART) on PI- or NNRTI-containing regimens from 1 January 2006 to 31 December 2015. Patients with a subsequent change in anchor agent were assigned to the switch cohort; the non-switch cohort was constructed using propensity score matching of three non-switching patients for each patient in the switch cohort. Patient characteristics and per patient per month healthcare resource utilization and costs were compared between the cohorts during the pre-switch, switch (15 days before and after switching) and post-switch periods. Costs during the switch period were also estimated with a multivariable-adjusted model. Results: The matched study population consisted of 1204 patients who switched their first-line PI- or NNRTI-based regimen and 3612 patients who did not. Compared with the non-switch cohort, patients who switched had higher healthcare resource utilization during the pre-switch, switch and post-switch periods. Mean unadjusted non-ART costs in the switch cohort were nearly double ($2944 versus $1530, p < .001), more than double ($2562 versus $1215, p < .001) and 1.5 times higher ($1473 versus $968, p < .001) than costs in the non-switch cohort in the pre-switch, switch and post-switch periods, respectively. Conclusions: Patients with HIV-1 who initiated PI- or NNRTI-based regimens and switched ARTs for reasons other than virologic failure used more healthcare resources and incurred greater costs relative to patients in the non-switch cohort. This study highlights the importance of initiating patients on appropriate first-line ART to avoid the need to switch due to reasons other than virologic failure.

Clinical characteristics of patients with community-acquired complicated intra-abdominal infections: a prospective, multicentre, observational study.

In this prospective, observational, multicentre study using data from five countries (Columbia, The Philippines, Portugal, Taiwan and Thailand), the clinical impact of extended-spectrum ß-lactamase (ESBL)-producing organisms on hospitalised patients with community-acquired complicated intra-abdominal infections (CA-cIAIs) was compared with that of non-ESBL-producing organisms during the period April 2010 to December 2011. Adult patients (aged ≥18 years) requiring surgery or percutaneous drainage were enrolled and were followed during the first hospitalisation course. An unadjusted statistical comparison of risk factors for ESBL-positive and ESBL-negative patients was performed. Multivariate regression analyses were performed to assess whether length of stay (LOS) in hospital, clinical cure rate and some important clinical characteristics were associated with ESBL positivity. During the study period, a total of 105 adult patients from five countries were enrolled, of whom 17 (16.2%) had CA-cIAI due to ESBL-positive organisms and 88 (83.8%) had CA-cIAI due to ESBL-negative organisms. Escherichia coli was isolated in 73.3% of all samples. Infections were cured in 8 (47.1%) of the patients with CA-cIAI due to ESBL-positive organisms and in 59 (67.0%) of the patients with CA-cIAI due to ESBL-negative organisms (P=0.285). The median LOS was 11.6 days for patients with infections due to ESBL-negative organisms and 17.6 days for patients with infections due to ESBL-positive organisms (P=0.011). Multivariate logistic regression analysis revealed that pre-existing co-morbidities, but not ESBL positivity, were adversely associated with clinical cure of CA-cIAIs. In contrast, duration of hospitalisation was longer for patients with CA-cIAI due to ESBL-positive organisms.

Health-related quality of life in patients with hepatitis C virus infection in Brazil.

OBJECTIVE: To quantify the health-related quality of life (HRQoL) burden of hepatitis C virus (HCV) infection among a broad sample of adults in Brazil, particularly among those 40 years of age and older. METHODS: This was a retrospective observational study of data from the 2011 Brazil National Health and Wellness Survey, a large (n = 12 000) cross-sectional survey that includes information on medical conditions and health outcomes, including the Medical Outcomes Study Short-form 12 health questionnaire, version 2 (SF-12v2). Respondents who reported a physician diagnosis of HCV infection were compared with those who reported never experiencing HCV on the Mental (MCS) and Physical (PCS) Component Summary scores and SF-6D health utility scores. Unadjusted comparisons were conducted with chi-square tests for categorical variables and t-tests for continuous variables. Regression was used to adjust outcomes for potential confounds. Subgroup analyses were conducted on those 40 years of age and older. RESULTS: Unadjusted comparisons between respondents infected with HCV (n = 100) and controls (n = 11 694) revealed similar MCS and PCS scores, but HCV patients had lower SF-6D utility scores (0.70 vs. 0.73, P < 0.05). Regressions adjusting for demographic and health characteristics provided similar results to unadjusted comparisons. Subgroup analyses of respondents 40 years of age and older revealed decrements in both MCS (45.95 vs. 49.72, P < 0.05) and SF-6D (0.71 vs. 0.76, P < 0.05). PCS scores were comparable in HCV patients and controls. CONCLUSIONS: HCV infection in Brazil causes significant HRQoL burden, especially among the older population. Prevention measures to curtail the spread of the virus in Brazil should provide societal benefits in terms of quality of life, in addition to preventing morbidity and mortality from chronic infection.

Health-related quality of life in patients with hepatitis C virus infection in Brazil / Calidad de vida relacionada con la salud en pacientes infectados por el virus de la hepatitis C en el Brasil

OBJECTIVE: To quantify the health-related quality of life (HRQoL) burden of hepatitis C virus (HCV) infection among a broad sample of adults in Brazil, particularly among those 40 years of age and older. METHODS: This was a retrospective observational study of data from the 2011 Brazil National Health and Wellness Survey, a large (n = 12 000) cross-sectional survey that includes information on medical conditions and health outcomes, including the Medical Outcomes Study Short-form 12 health questionnaire, version 2 (SF-12v2). Respondents who reported a physician diagnosis of HCV infection were compared with those who reported never experiencing HCV on the Mental (MCS) and Physical (PCS) Component Summary scores and SF-6D health utility scores. Unadjusted comparisons were conducted with chi-square tests for categorical variables and t-tests for continuous variables. Regression was used to adjust outcomes for potential confounds. Subgroup analyses were conducted on those 40 years of age and older. RESULTS: Unadjusted comparisons between respondents infected with HCV (n = 100) and controls (n = 11 694) revealed similar MCS and PCS scores, but HCV patients had lower SF-6D utility scores (0.70 vs. 0.73, P < 0.05). Regressions adjusting for demographic and health characteristics provided similar results to unadjusted comparisons. Subgroup analyses of respondents 40 years of age and older revealed decrements in both MCS (45.95 vs. 49.72, P < 0.05) and SF-6D (0.71 vs. 0.76, P < 0.05). PCS scores were comparable in HCV patients and controls. CONCLUSIONS: HCV infection in Brazil causes significant HRQoL burden, especially among the older population. Prevention measures to curtail the spread of the virus in Brazil should provide societal benefits in terms of quality of life, in addition to preventing morbidity and mortality from chronic infection.

OBJETIVO: Cuantificar la carga de la infección por el virus de la hepatitis C (VHC) en cuanto a calidad de vida relacionada con la salud (CVRS) en una amplia muestra de adultos del Brasil, particularmente en los de 40 años de edad o mayores. MÉTODOS: Se llevó a cabo un estudio retrospectivo y de observación de los datos de la Encuesta Nacional de Salud y Bienestar del Brasil del 2011, una amplia encuesta transversal (n = 12 000) que aporta información sobre trastornos médicos y resultados en materia de salud, e incluye el cuestionario de salud denominado Estudio de los Resultados Médicos, en la versión 2 de su forma abreviada de 12 ítems (SF-12v2). Los entrevistados que notificaron un diagnóstico médico de infección por el VHC se compararon con los que afirmaron que nunca habían padecido esta infección en cuanto a las puntuaciones resumen de las componentes mental (MCS) y física (PCS) y las puntuaciones de utilidad en salud del SF-6D. Se llevaron a cabo comparaciones no ajustadas mediante pruebas de ji al cuadrado para las variables categóricas y pruebas t para las variables continuas. Se empleó un modelo de regresión para ajustar los resultados en cuanto a confusiones potenciales. Se realizaron análisis del subgrupo de adultos de 40 años de edad o mayores. RESULTADOS: Las comparaciones no ajustadas entre los entrevistados infectados por el VHC (n = 100) y los controles (n = 11 694) mostraron puntuaciones de MCS y PCS similares, pero los pacientes infectados por el VHC obtuvieron puntuaciones de utilidad del SF-6D inferiores (0,70 frente a 0,73, P < 0.05). Las regresiones de ajuste de las características demográficas y de salud proporcionaron resultados similares a los de las comparaciones no ajustadas. Los análisis del subgrupo de entrevistados de 40 años de edad o mayores mostraron disminuciones tanto en la MCS (45,95 frente a 49,72, P < 0.05) como en el SF-6D (0,71 frente a 0,76, P < 0.05). Las puntuaciones de la PCS fueron comparables en los pacientes infectados por el VHC y los controles. CONCLUSIONES: La infección por el VHC en el Brasil causa una carga significativa en cuanto a CVRS, especialmente en la población de mayor edad. Las medidas preventivas para reducir la propagación del virus en el Brasil deben proporcionar beneficios sociales en cuanto a calidad de vida, además de prevenir la morbilidad y la mortalidad causadas por la infección crónica.

The burden of hepatitis C in Europe from the patients' perspective: a survey in 5 countries.

BACKGROUND: Few studies have examined the impact of Hepatitis C virus (HCV) infection on patient reported outcomes in Europe. This study was conducted to assess the burden of HCV infection in terms of work productivity loss, activity impairment, health-related quality of life, healthcare resource utilization, and associated costs. METHODS: The 2010 European National Health and Wellness Survey (n = 57,805) provided data. Patients reporting HCV infection in France, Germany, the UK, Italy, and Spain were matched to respondents without HCV using propensity scores. Outcome measures included the Work Productivity and Activity Impairment (WPAI) questionnaire and the Medical Outcomes Study Short Form-12 (SF-12v2) questionnaire. Subgroup analyses focused on treatment-naïve patients. RESULTS: HCV Patients (n = 286) had more work impairment (30% vs. 18%, p < .001), more impairment in non-work activities (34% vs. 28%, p < .05), and more annual physician visits per patient (19.8 vs. 13.3, p < .001). Estimated indirect and direct costs were €2,956 (p < .01) and €495 (p < .001) higher than in matched controls, respectively. Health-related quality of life was also lower among HCV patients. Treatment-naïve HCV patients (n = 139) also reported higher work impairment (29% vs. 15%, p < .01), as well as more frequent physician visits (19.5 vs. 12.1, p < .01) than matched controls. Each treatment-naïve HCV infected patient incurred €934 in direct costs vs. €508 (p < .01 in matched controls. Employed treatment-naïve patients reported higher productivity loss per year compared to matched controls (€6,414 vs. €3,642, p < .05). CONCLUSION: HCV infection in Europe is associated with considerable economic and humanistic burden. This is also true of diagnosed patients who have never been treated for HCV.

The impact of specific HIV treatment-related adverse events on adherence to antiretroviral therapy: a systematic review and meta-analysis.

Poor adherence to antiretroviral therapies (ARTs) in human immunodeficiency virus (HIV)-infected patients increases the risk of incomplete viral suppression, development of viral resistance, progression to acquired immune deficiency syndrome and death. This study assesses the impact of specific treatment-related adverse events (AEs) on adherence to ART in the adult HIV patient population. A systematic review of studies involving adult HIV-infected patients aged ≥ 16 years that reported an odds ratio (OR) for factors affecting adherence to ART was conducted through a search of the EMBASE(®) and Medline(®) databases. Database searches were complemented with a search of titles in the bibliographies of review papers. Studies conducted in populations limited to a particular demographic characteristic or behavioural risk were excluded. To qualify for inclusion into a meta-analysis, treatment-related AEs had to be defined similarly across studies. Also, multiple ORs from the same study were included where study sub-groups were distinct. Random effects models were used to pool ORs. In total, 19 studies and 18 ART-related AEs were included in meta-analyses. Adherence to ART was significantly lower in patients with non-specific AEs than in patients who did not experience AEs [OR = 0.623; 95% confidence interval (CI): 0.465-0.834]. Patients with specific AEs such as fatigue (OR = 0.631; 95% CI: 0.433-0.918), confusion (OR = 0.349; 95% CI: 0.184-0.661), taste disturbances (OR = 0.485; 95% CI: 0.303-0.775) and nausea (OR = 0.574; 95% CI: 0.427-0.772) were significantly less likely to adhere to ART compared to patients without these AEs. Knowledge of specific treatment-related AEs may allow for targeted management of these events and a careful consideration of well-tolerated treatment regimens to improve ART adherence and clinical outcomes.

The burden of untreated hepatitis C virus infection: a US patients' perspective.

BACKGROUND: Hepatitis C virus (HCV) infection is widespread and associated with high economic costs and reduced quality of life, but the impact of untreated HCV infection on patient outcome is not well understood. AIMS: To estimate the impact of untreated HCV infection on work productivity, daily activity, healthcare use, economic costs, and health-related quality of life (HRQoL). METHODS: Respondents to the 2010 US National Health and Wellness Survey (n = 75,000) reporting physician diagnosis of HCV infection but not current or previous treatment (patients) were matched to respondents without HCV infection (controls) by use of propensity scores. Those reporting infection with hepatitis B virus (HBV) or human immunodeficiency virus (HIV) were excluded. Self-reported work impairment, activity impairment, healthcare resource use, and HRQoL were compared between patients and controls. Indirect and direct costs were estimated. RESULTS: A total of 306 patients met inclusion criteria. Patients were more impaired at work than controls, with overall work impairment of 26 % versus 15 %, respectively (P < 0.001), mostly because of presenteeism in both groups. Annual productivity losses were estimated at $10,316 per employed patient compared with $5,469 per control (P < 0.001). Patients used more healthcare, with all-cause healthcare costs estimated at $22,818 per patient annually, compared with $15,362 per control (P < 0.001). HRQoL and activity impairment were also worse among patients than controls. CONCLUSIONS: Untreated HCV infection is associated with substantial economic costs to society, through loss of productivity and increased use of healthcare resources, and with impaired well-being of the patient.