HSV-infection-related herpetic anogenital ulcer disease among PLWH in southeastern US: electronic medical record based analysis.

ObjectivesThe southeastern US is a domestic epicentre for incident HIV with high prevalence of herpes simplex virus (HSV) coinfection. We estimated the incidence rates (IR) of symptomatic herpetic anogenital ulcer disease (HAUD) and assessed its associations with demographic and clinical characteristics, specifically with immunological markers using median, nadir and trajectory CD4 counts. METHODS: Electronic medical records (EMR) of over 7000 people living with HIV (PLWH) attending one of the leading HIV clinics in the southeastern US between 2006 and 2018 were reviewed and analysed. IR of HSV-related HAUD were estimated per 10 000 person years. Joinpoint regressions were performed to examine temporal changes in the trends of IR. All IR and trends were stratified by gender and race. Six CD4 trajectory groups were constructed using the group-based trajectory modelling. Multivariable logistic models were conducted to assess the associations of CD4 counts (nadir, median CD4 and newly defined CD4 trajectory), separately with HAUD. RESULTS: Of the 4484 PLWH eligible individuals (3429 men, 1031 women and 24 transgender), we observed 425 patients with HSV-related HAUD. The mean log10viral load was higher in HAUD than HAUD-free groups, whereas the median nadir CD4 count (cells/uL) was higher in the non-cases than the case groups (p<0.05). HAUD were more frequent in women than men. Median CD4 (<200 cell/uL) was associated with HAUD (OR=2.1), but there were no significant associations with nadir CD4. Significant associations with declining and sustained low CD4 counts trajectory patterns were observed with HAUD. CONCLUSIONS: There were significant differences between men and women with incident HAUD among PLWH. EMR-based studies can provide innovative trajectory models that can potentially be helpful in guiding screening and clinical care of HAUD among high-risk PLWH.

Has COVID-19 changed the approach to HIV diagnosis?: A multicentric Italian experience.

ABSTRACT: The occurrence of COVID-19 pandemic had a significant negative effect on health care systems over the last year. Health care providers were forced to focus mainly on COVID-19 patients, neglecting in many cases equally important diseases, both acute and chronic. Therefore, also screening and diagnostic strategies for HIV could have been significantly impaired.This retrospective, multicenter, observational study aimed at assessing the number and characteristics of new HIV/AIDS diagnoses during COVID-19 pandemic in Italy and compared characteristics of people living with HIV at diagnosis between pre- and post-COVID-19 era (2019 vs 2020).Our results showed a significant reduction of HIV diagnoses during pandemic. By contrast, people living with HIV during pandemic were older and were diagnosed in earlier stage of disease (considering CD4+ T cell count) compared to those who were diagnosed the year before. Moreover, there was a significant decrease of new HIV diagnoses among men who have sex with men, probably for the impact of social distancing and restriction applied by the Italian Government. Late presentation incidence, if numbers in 2020 were lower than those in 2019, is still an issue.Routinely performing HIV testing in patients with suspected SARS-CoV-2 infection is identifying and linking to care underdiagnosed people living with HIV earlier. Thus, combined tests (HIV and SARS-CoV-2) should be implemented in patients with SARS-CoV-2 symptoms overlapping HIV's ones. Lastly, our results lastly showed how urgent implementation of a national policy for HIV screening is necessary.

Joint Modelling Approaches to Survival Analysis via Likelihood-Based Boosting Techniques.

Joint models are a powerful class of statistical models which apply to any data where event times are recorded alongside a longitudinal outcome by connecting longitudinal and time-to-event data within a joint likelihood allowing for quantification of the association between the two outcomes without possible bias. In order to make joint models feasible for regularization and variable selection, a statistical boosting algorithm has been proposed, which fits joint models using component-wise gradient boosting techniques. However, these methods have well-known limitations, i.e., they provide no balanced updating procedure for random effects in longitudinal analysis and tend to return biased effect estimation for time-dependent covariates in survival analysis. In this manuscript, we adapt likelihood-based boosting techniques to the framework of joint models and propose a novel algorithm in order to improve inference where gradient boosting has said limitations. The algorithm represents a novel boosting approach allowing for time-dependent covariates in survival analysis and in addition offers variable selection for joint models, which is evaluated via simulations and real world application modelling CD4 cell counts of patients infected with human immunodeficiency virus (HIV). Overall, the method stands out with respect to variable selection properties and represents an accessible way to boosting for time-dependent covariates in survival analysis, which lays a foundation for all kinds of possible extensions.

Impact of the COVID-19 pandemic situation on HIV care in Liège, Belgium.

BACKGROUND: Background: The COVID-19 pandemic and associated containment measures dramatically affected the health care systems including the screening of human immunodeficiency virus and the management people living with HIV around the world by making the access to preventive care services and specific medical monitoring more difficult. OBJECTIVE: Objective: To study the impact of the COVID-19 pandemic on the holistic care of people living with HIV in Liège (Belgium). METHODS: Methods: In this retrospective observational study conducted in Liège University Hospital, we compared the out-patient follow-up of HIV-infected individuals as well as the number of new HIV diagnoses between 2019 and 2020 and between the different waves of the COVID-19 pandemic in 2020. RESULTS: Results: In 2020, when compared to 2019, we observed a significant decrease in the number of new HIV diagnoses, especially during the first wave of the pandemic, and in the number of consultations undertaken by sexual health services, psychologists and specialists in infectious diseases at our HIV clinic. We also observed a decrease in the number of viral load assays and blood CD4 + T-cells count analyses performed, although we found less patients with HIV plasma viral load above 400 copies per mL in 2020. Finally, we noted a significant reduction in terms of screening of our HIV-infected patients for hepatitis C, syphilis, colorectal and anal cancers and hypercholesterolemia. CONCLUSIONS: Conclusions: Our experience exhibits the deleterious impact of the COVID-19 pandemic on the HIV care and the need to implement new strategies to guarantee its continuum.

Modifications of CD4 T cells, CD4/CD8 ratio and serum levels of soluble CD14 in HIV-HCV-coinfected patients after sustained HCV response induced by direct-acting antiviral agents: influence of liver cirrhosis.

To analyze the modifications of CD4 T cell, CD4/CD8 ratio, and serum levels of soluble CD14 (sCD14) in HIV/HCV-coinfected patients after treatment with direct anti-HCV antiviral agents. Consecutive cases of HIV/HCV-coinfected patients, attended at the University Hospital, who achieved sustained virological responses with interferon-free hepatitis C antiviral drugs, were analyzed. Thirty-five percent of patients (n = 39) had been diagnosed with liver cirrhosis. The evaluation criteria were changes in CD4 T-cell counts and percentages and inflammation (measured by serum sCD14 levels) or immune activation indexes (determined by CD4/CD8 ratio) from beginning anti-HCV therapy to 12 months later. One hundred twelve patients were included (87% male; median age, 54 years; median time from the infection diagnosis, 22 years; previous drug users, 87%). Significant increases in CD4 T cell count and percentage were detected only in individuals without liver cirrhosis. No significant differences in CD4/CD8 ratios or sCD14 levels were observed in patients with or without cirrhosis. The proportion of patients with less than 500 CD4 T cell/mm3 before therapy who achieved more than 500 CD4 T cell/mm3 after it increased only in the group without liver cirrhosis. The finding that CD4 T cell count and percentage were improved only in patients without liver cirrhosis supports the idea that treatment against HCV in HIV/HCV-coinfected patients is needed in the early phases of liver disease.

Variation in HIV care and treatment outcomes by facility in South Africa, 2011-2015: A cohort study.

BACKGROUND: Despite widespread availability of HIV treatment, patient outcomes differ across facilities. We propose and evaluate an approach to measure quality of HIV care at health facilities in South Africa's national HIV program using routine laboratory data. METHODS AND FINDINGS: Data were extracted from South Africa's National Health Laboratory Service (NHLS) Corporate Data Warehouse. All CD4 counts, viral loads (VLs), and other laboratory tests used in HIV monitoring were linked, creating a validated patient identifier. We constructed longitudinal HIV care cascades for all patients in the national HIV program, excluding data from the Western Cape and very small facilities. We then estimated for each facility in each year (2011 to 2015) the following cascade measures identified a priori as reflecting quality of HIV care: median CD4 count among new patients; retention 12 months after presentation; 12-month retention among patients established in care; viral suppression; CD4 recovery; monitoring after an elevated VL. We used factor analysis to identify an underlying measure of quality of care, and we assessed the persistence of this quality measure over time. We then assessed spatiotemporal variation and facility and population predictors in a multivariable regression context. We analyzed data on 3,265 facilities with a median (IQR) annual size of 441 (189 to 988) lab-monitored HIV patients. Retention 12 months after presentation increased from 42% to 47% during the study period, and viral suppression increased from 66% to 79%, although there was substantial variability across facilities. We identified an underlying measure of quality of HIV care that correlated with all cascade measures except median CD4 count at presentation. Averaging across the 5 years of data, this quality score attained a reliability of 0.84. Quality was higher for clinics (versus hospitals), in rural (versus urban) areas, and for larger facilities. Quality was lower in high-poverty areas but was not independently associated with percent Black. Quality increased by 0.49 (95% CI 0.46 to 0.53) standard deviations from 2011 to 2015, and there was evidence of geospatial autocorrelation (p < 0.001). The study's limitations include an inability to fully adjust for underlying patient risk, reliance on laboratory data which do not capture all relevant domains of quality, potential for errors in record linkage, and the omission of Western Cape. CONCLUSIONS: We observed persistent differences in HIV care and treatment outcomes across South African facilities. Targeting low-performing facilities for additional support could reduce overall burden of disease.

SARS-CoV-2 infection in persons living with HIV: A single center prospective cohort.

Information about severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in HIV-infected individuals is scarce. In this prospective study, we included HIV (human immunodefeciency virus)-infected individuals (people living with HIV [PLWHIV]) with confirmed SARS-CoV-2 infection and compared them with PLWHIV negative for SARS-CoV-2. We compared 55 cases of SARS-CoV-2 infection with 69 asymptomatic PLWHIV negative for SARS-CoV-2 reverse transcription-polymerase chain reaction and/or serology. There was no significant difference between SARS-CoV-2 positive or negative patients for age distribution, gender, time with HIV infection, nadir CD4-cell counts, type and number of co-morbidities, current CD4 and CD8 counts and type of anti-HIV therapy. Positive patients presented with a median of three symptoms (interquartile range, 1-3). Most common symptoms were fever (76%), dyspnea (35%), anosmia (29%) non-productive cough (27%), fatigue 22%), and ageusia (20%). Ten patients (18%) were completely asymptomatic. Four (7.2%) subjects died of coronavirus disease 2019. Factors significantly (P < .05) associated with death included age and number of co-morbidities, while time from HIV infection and lower current CD4 counts were significant only in univariate analysis. HIV-infected individuals are not protected from SARS-CoV-2 infection or have a lower risk of severe disease. Indeed, those with low CD4 cell counts might have worse outcomes. Infection is asymptomatic in a large proportion of subjects and this is relevant for epidemiological studies.

Utility of CD4 count measurement in the era of universal antiretroviral therapy: an analysis of routine laboratory data in Botswana.

OBJECTIVES: National guidelines in Botswana recommend baseline CD4 count measurement and both CD4 and HIV viral load (VL) monitoring post-antiretroviral therapy (ART) initiation. We evaluated the utility of CD4 count measurement in Botswana in the era of universal ART. METHODS: CD4 and VL data were analysed for HIV-infected adults undergoing CD4 count measurement in 2015-2017 at the Botswana Harvard HIV-Reference Laboratory. We determined (1) the proportion of individuals with advanced HIV disease (CD4 count < 200 cells/µL) at initial CD4 assessment, (2) the proportion with an initial CD4 count ≥ 200 cells/µL experiencing a subsequent decline in CD4 count to < 200 cells/µL, and (3) the proportion of these immunologically failing individuals who had virological failure. Logistic regression modelling examined factors associated with advanced HIV disease. CD4 count trajectories were assessed using locally weighted scatterplot smoothing (LOWESS) regression. RESULTS: Twenty-five per cent (3571/14 423) of individuals with an initial CD4 assessment during the study period had advanced HIV disease at baseline. Older age [≥ 35 years; adjusted odds ratio (aOR) 1.9; 95% confidence interval (CI) 1.8-2.1] and male sex were associated with advanced HIV disease. Fifty per cent (7163/14 423) of individuals had at least two CD4 counts during the study period. Of those with an initial CD4 count ≥ 200 cells/µL, 4% (180/5061) experienced a decline in CD4 count to < 200 cells/µL; the majority of CD4 count declines were in virologically suppressed individuals and transient. CONCLUSIONS: One-quarter of HIV-positive individuals in Botswana still present with advanced HIV disease, highlighting the importance of baseline CD4 count measurement to identify this at-risk population. Few with a baseline CD4 count ≥ 200 cells/µL experienced a drop below 200 cells/µL, suggesting limited utility for ongoing CD4 monitoring.

[Influencing factors of antiretroviral therapy and its association with immunological effect among HIV/AIDS patients in Taizhou city, 2006-2019].

Objective: To analyze influencing factors of instant antiretroviral therapy (ART) and explore associution between strategies of ART and immunological effects among HIV/AIDS patients in Taizhou city during 2006-2019. Methods: A retrospective cohort study was conducted on HIV/AIDS patients under ART, and a logistic regression model was used to analyze factors of instant ART. The student t-test and chi-square test were used to compare immunological effect of different ART strategies while the Kaplan-Meier method was used to generate a survival curve. Results: A total of 2 971 HIV/AIDS patients were enrolled with 1 786 cases (60.1%) having instant ART strategy. The proportion of instant ART were 77.8% (1 170/1 504) during 2016 to 2019. The treatment success rate of the instant ART group (87.4%, 1 561/1 786) were higher than the delayed ART group (84.4%, 1 000/1 185). The results of multivariate logistic regression model indicated that male (aOR=1.28, 95%CI: 1.03-1.59), married (aOR=1.71, 95%CI: 1.33-2.19) and baseline CD(4)(+)T lymphocyte cells (CD(4)) counts ≤200 cells/µl (aOR=1.60, 95%CI: 1.27-2.02) were factors positively related to instant ART while 31-40 years old (aOR=0.63, 95%CI: 0.48-0.84), infected through heterosexual transmission(aOR=0.60, 95%CI: 0.49-0.74) and diagnosed before 2015 (aOR=0.20, 95%CI: 0.17-0.23) were inversely related to instant ART. The increase of the CD(4)/CD(8) ratio was greater, and the cumulative ART success rate was higher each year in the instant ART group than in the delayed ART group (P<0.05). Conclusions: The instant ART strategy has been well implemented in Taizhou city during 2006-2019, and the immunological effect was better in instant ART group. The proportion of instant ART were more than 60.0% among HIV/AIDS patients. Instant ART strategy needs to be strengthened for those who are 31-40 years old, women, unmarried, and infected through heterosexual transmission in an attempt to further increase treatment level and improve treatment effect.

Glomerular diseases related to HIV in Colombian population: Better outcomes with highly active antiretroviral therapy?

INTRODUCTION: End-stage renal disease (ESRD) related to HIV is becoming a leading cause of renal replacement therapy requirement is some areas of the world. Our study aims to describe the incidence and renal outcomes of HIV-associated nephropathy (HIVAN), and immune-mediated kidney disease related to HIV (HIVICK) in Colombia. METHODOLOGY: A retrospective cohort study was performed, including all HIVAN or HIVICK incident cases assessed by the infectious diseases division in a high complexity institution in Colombia, between 2004 and 2018. A longitudinal data model under the Generalized Estimating Equations (GEE) method was used to determine changes on the glomerular filtration rate (GFR) over time. RESULTS: Within a cohort composed by 1509 HIV-infected patients, we identified 22 with HIV-associated glomerular disease. Cumulative incidence was 1.45%. At diagnosis, GFR was above 30 mL/min in 90.8% of patients, and 77.2% displayed sub-nephrotic proteinuria. Factors associated with GFR at diagnosis were: level of CD4 (Coefficient 0.113, CI 95 %: 0.046, 0.179, p < 0.01), and the inverse of the CD4/CD8 ratio. The GEE model did not demonstrate significant changes in the GFR over a 3-year period. Findings were similar when comparing GFR at diagnosis with GFR at 12 (-3.9 mL/min/1.73m2, CI 95% -7.3, 0.4, p = 0.98), 24 (-2.47 mL/min/1.73m2, CI 95% -7.0, 2.1, p=0.85), and 36 months (0.39 mL/min/1.73m2, CI 95% -4.4, 5.2, p = 0.43) of follow-up. CONCLUSIONS: Patients with glomerular disease associated with HIV have stable GFR over a 3-year period, and low rates of progression towards dialysis requirement. Differences with previous reports could be related with early diagnosis and treatment with highly active antiretroviral therapy.

A real-world, cross sectional study of oral lesions and their association with CD4 cell counts and HIV viral load in Yunnan, China.

Human immunodeficiency virus (HIV) supresses immune system, primarily cell-mediated immunity. Cluster of differentiation 4 (CD4) cell count, viral load, and oral lesions are the most important laboratory parameters to evaluate the evolution of acquired immunodeficiency syndrome. The present study aims to determine the incidence of HIV-related oral lesions with CD4 cell count and viral load in Yunnan, China.A cross-sectional study was conducted from December 2007 to December 2009, in 1812 HIV positive patients from Department of Infectious Diseases in Kunming Third People's Hospital. CD4, CD8, and viral load data were collected and analyzed statistically using SPSS 11.3.Out of 1812 HIV positive patients, 929 (51.27%) were associated with 1 or more oral lesions. The most common oral lesions observed were Candida Pseudomembranous (13.75%), Candida erythematous (10.93%), Oral hairy leukoplakia (7.95%), Aphthous ulcer (6.18%), Herpes simplex infection (5.58%). In most patients with oral lesions, the CD4 cell count was < 200/µL. The incidence of oral lesions was lower when CD4 count was > 200/µL and with undetectable (P < .01) HIV viral load. Almost no oral lesions was observed when CD4 count > 500/µL (P < .01). With highly active antiretroviral therapy, reduction in HIV-related oral lesions was observed especially in Candida erythematous, Candida Pseudomembranous, Oral hairy leukoplakia, and Aphthous ulcer.The higher incidence of oral lesions with lower CD4 count (<200/µL) in HIV-infected patients indicated importance of CD4 cell count in identifying disease progression.

Assessing linear CD4 decline quantifying diagnosis delay after HIV seroconversion: assessing the linearity assumption of CD4 decline.

PURPOSE: To estimate time from seroconversion to diagnosis, researchers have modeled time based on CD4 decline, assuming the square root of the CD4 count decreases linearly over time before antiretroviral treatment (ART) initiation. If true, utilizing CD4 counts reported anytime in the pre-ART period would result in estimates of diagnosis delay that are not appreciably different. METHODS: We applied CD4 depletion model parameters from seroconverter cohorts to New York City residents diagnosed from 2006 to 2015, having two or more pre-ART CD4 counts. RESULTS: Median diagnosis delays based on first or second pre-ART CD4 counts were similar (n = 12,849; 2.8 years, interquartile range [IQR]: 0-7.7, and 2.8 years, IQR: 0-7.6, respectively; P = .09, Wilcoxon signed-rank test). Among people whose second pre-ART CD4 count was measured more than 6 months after diagnosis (n = 2761), the average diagnosis delay based on first pre-ART CD4 count was shorter (1.5 years, IQR: 0-5.4) than the second pre-ART CD4 count (1.7 years, IQR: 0-6.0) but not significantly (P = .12). CONCLUSIONS: Results are consistent with the linearity assumption of the CD4 depletion model. To estimate population-level diagnosis delay, researchers may use pre-ART CD4 counts reported more than 6 months post-diagnosis.

Do sex-specific immunobiological factors and differences in angiotensin converting enzyme 2 (ACE2) expression explain increased severity and mortality of COVID-19 in males?

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2), shares similarities with the former SARS outbreak, which was caused by SARS-CoV-1. SARS was characterized by severe lung injury due to virus-induced cytopathic effects and dysregulated hyperinflammatory state. COVID-19 has a higher mortality rate in men both inside and outside China. In this opinion paper, we describe how sex-specific immunobiological factors and differences in angiotensin converting enzyme 2 (ACE2) expression may explain the increased severity and mortality of COVID-19 in males. We highlight that immunomodulatory treatment must be tailored to the underlying immunobiology at different stages of disease. Moreover, by investigating sex-based immunobiological differences, we may enhance our understanding of COVID-19 pathophysiology and facilitate improved immunomodulatory strategies.

[Using linear mixed-effects model to analyze the progression of HIV disease, among men who have sex with men].

Objective: To understand the progression of CD(4)(+) T cells (CD(4)) declining rate in different age groups among MSM and to further explore the pathogenesis of HIV infection. Methods: Data regarding MSM who were diagnosed as HIV positive, aged ≥15 years, with homosexual route of transmission and with more than two records of CD(4) count retained before antiretroviral therapy (ART), were collected from the National AIDS Comprehensive Prevention Information System until May 31, 2019. Linear mixed effect model was used to fit the linear elimination relationship between the square root of CD(4) cell count and infection time before taking up the ART. To get the intercept estimation, we used the results from CD(4) count which containing the dates of last negativity and first positivity on HIV antibody testing. Both t test and Z test were used to test the model parameters. Median intervals from HIV seroconversion to CD(4)<500, <350, <200 cells/µl were estimated. Results: A total of 26 754 individuals were included in the study including 146 of them having records on the last date of being test negative. Their median age was 27 years old (M=27, P(25)-P(75):23-35). The intercept of the liner mixed models among 15-, 25- and ≥35 year olds were 24.84 (95%CI: 23.76-25.92), 23.94 (95%CI: 22.86-25.02), 23.44 (95%CI: 21.91-24.96) and the slope of the liner mixed models among the 15-24, 25-34, 35-44 and ≥45 year olds were -1.31 (95%CI: -1.33--1.25), -1.37(95%CI: -1.40--1.33), -1.53 (95%CI: -1.58--1.47) and -1.59 (95%CI:-1.68--1.51), respectively. Estimation on the median intervals from HIV seroconversion to CD(4) <500, <350, <200 cells/µl counts were 1.29 (95%CI: 0.79-1.81), 3.92 (95%CI: 3.36-4.48) and 7.21 (95%CI: 6.58-7.81), respectively. The median time of 15-24 age group from HIV seroconversion to reach the three CD(4) thresholds appeared the longest, as 1.89 (95%CI: 1.05-2.85), 4.68(95%CI: 3.80-5.77) and 8.17 (95%CI: 7.23-9.42) years, respectively, the median time of ≥45 age group from HIV seroconversion to reach the three CD(4) thresholds appeared the shortest, as 0.68 (95%CI: 0.00-1.72)、2.98 (95%CI: 1.91-4.14)、5.85 (95%CI: 4.62-7.16) years, respectively. Conclusions: Our findings suggested that the CD(4) declining rate had been accelerated along with ageing. Progression time from HIV seroconversion to different CD(4) thresholds appeared different, which was shorter in the older age group. Again, these findings showed the great impact of HIV infection among older age groups in the MSM population. Early diagnosis and treatment were bound to delay the progression of the disease.

Enrollment Length, Service Category, and HIV Health Outcomes Among Low-Income HIV-Positive Persons Newly Enrolled in a Housing Program, New York City, 2014-2017.

Objectives. To evaluate the impact of duration and service category on HIV health outcomes among low-income adults living with HIV and enrolled in a housing program in 2014 to 2017.Methods. We estimated relative risk of engagement in care, viral suppression, and CD4 improvement for 561 consumers at first and second year after enrollment to matched controls through the New York City HIV surveillance registry, by enrollment length (enrolled for more than 1 year or not) and service category (housing placement assistance [HPA], supportive permanent housing [SPH], and rental assistance [REN]).Results. The SPH and REN consumers were enrolled longer and received more services, compared with HPA consumers. Long-term SPH and REN consumers had better engagement in care, viral suppression, and CD4 count than controls at both first and second year after enrollment, but the effect did not grow bigger from year 1 to 2. HPA consumers did not have better outcomes than controls regardless of enrollment length.Conclusions. Longer enrollment with timely housing placement and a higher number and more types of services are associated with better HIV health outcomes for low-income persons living with HIV with unmet housing needs.

Rapid point-of-care CD4 testing at mobile units and linkage to HIV care: an evaluation of community-based mobile HIV testing services in South Africa.

BACKGROUND: Mobile HIV testing services (HTS) are effective at reaching undiagnosed people living with HIV. However, linkage to HIV care from mobile HTS is often poor, ranging from 10 to 60%. Point-of-care (POC) CD4 testing has shown to increase retention in health facilities, but little evidence exists about their use in mobile HTS. This study assessed the feasibility of POC CD4 test implementation and investigated linkage to HIV care among clients accepting a POC test at community-based mobile HTS. METHODS: This retrospective study used routinely collected data from clients who utilized community-based mobile HTS in the City of Cape Town Metropolitan district, South Africa between December 2014 and September 2016. A POC CD4 test was offered to all clients with an HIV positive diagnosis during this period, and a CD4 cell count was provided to clients accepting a POC CD4 test. Random effects logistic regression was used to assess factors associated with POC CD4 test uptake and self-reported linkage to care among clients accepting a POC test. Models were adjusted for sex, age, previous HIV test done, tuberculosis status and year of HIV diagnosis. RESULTS: One thousand three hundred twenty-five of Thirty-nine thousand seven hundred ninety clients utilizing mobile HTS tested HIV positive (3%). 51% (679/1325) accepted a POC test. The age group with the highest proportion accepting a POC test was 50+ years (60%). Females were less likely to accept a POC test than males (odds ratio = 0.7, 95%CI = 0.6-0.8). Median CD4 count was 429 cells/µl (interquartile range = 290-584). Among 679 clients who accepted a POC CD4 test, 491 (72%) linked to HIV care. CD4 cell count was not associated with linkage to care. CONCLUSION: Our findings suggest that mobile HTS can identify early HIV infection, and show that a high proportion of clients with a POC test result linked to care. Future research should assess factors associated with POC test acceptance and assess the impact of POC CD4 testing in comparison to alternative strategies to engage HIV positive people in care.

Assessment of Tp-e interval and Tp-e/QT ratio in patients with human immunodeficiency virus.

OBJECTIVE: Sudden cardiac death (SCD) plays an important part in all-cause mortality in patients infected with human immunodeficiency virus (HIV). The T-peak to T-end (Tp-e) interval, corrected Tp-e (Tp-ec) interval, and Tp-e/QT ratio on the ECG are parameters used to stratify risk for SCD. The objective of this study was to investigate the differences between HIV-infected patients and healthy individuals in terms of Tp-e interval, Tp-ec interval, and Tp-e/QT ratio, as well as other influencing factors. METHODS: Ninety-eight HIV-infected patients and 62 healthy controls were included in this prospective case-control study. Tp-e interval, Tp-ec interval, and Tp-e/QT ratio were measured in all participants. Echocardiographic examination and routine laboratory analysis were performed. In addition, CD4 T-cell count and HIV RNA levels were assessed in HIV-infected patients. RESULTS: All baseline characteristics were comparable in both groups. The median survival of those living with HIV was 20.63 months; 53% of them had controlled viral load, and 74% were receiving antiretroviral therapy. Mean baseline CD4 T-cell count was 409. In HIV-infected patients, the Tp-e interval and Tp-ec interval were prolonged, and the Tp-e/QT ratio was higher (p<0.001, p<0.001 and p=0.021, respectively). In bivariate and partial correlation analyses, there was a negative correlation between CD4 T-cell level and Tp-e interval, Tp-ec interval, and Tp-e/QT ratio. CONCLUSION: Tp-e interval, Tp-ec interval, and Tp-e/QT ratio were greater in HIV-infected patients compared with healthy individuals. HIV-infected patients, particularly those with low baseline CD4 T-cell counts, should be closely monitored due to risk of SCD.

Modelling immune deterioration, immune recovery and state-specific duration of HIV-infected women with viral load adjustment: using parametric multistate model.

BACKGROUND: CD4 cell and viral load count are highly correlated surrogate markers of human immunodeficiency virus (HIV) disease progression. In modelling the progression of HIV, previous studies mostly dealt with either CD4 cell counts or viral load alone. In this work, both biomarkers are in included one model, in order to study possible factors that affect the intensities of immune deterioration, immune recovery and state-specific duration of HIV-infected women. METHODS: The data is from an ongoing prospective cohort study conducted among antiretroviral treatment (ART) naïve HIV-infected women in the province of KwaZulu-Natal, South Africa. Participants were enrolled in the acute HIV infection phase, then followed-up during chronic infection up to ART initiation. Full-parametric and semi-parametric Markov models were applied. Furthermore, the effect of the inclusion and exclusion viral load in the model was assessed. RESULTS: Inclusion of a viral load component improves the efficiency of the model. The analysis results showed that patients who reported a stable sexual partner, having a higher educational level, higher physical health score and having a high mononuclear component score are more likely to spend more time in a good HIV state (particularly normal disease state). Patients with TB co-infection, with anemia, having a high liver abnormality score and patients who reported many sexual partners, had a significant increase in the intensities of immunological deterioration transitions. On the other hand, having high weight, higher education level, higher quality of life score, having high RBC parameters, high granulocyte component scores and high mononuclear component scores, significantly increased the intensities of immunological recovery transitions. CONCLUSION: Inclusion of both CD4 cell count based disease progression states and viral load, in the time-homogeneous Markov model, assisted in modeling the complete disease progression of HIV/AIDS. Higher quality of life (QoL) domain scores, good clinical characteristics, stable sexual partner and higher educational level were found to be predictive factors for transition and length of stay in sequential adversity of HIV/AIDS.

Antibody avidity-based approach to estimate population-level incidence of hepatitis C.

BACKGROUND & AIMS: Accurate HCV incidence estimates are critical for monitoring progress towards HCV elimination goals, including an 80% reduction in HCV incidence by 2030. Moreover, incidence estimates can help guide prevention and treatment programming, particularly in the context of the US opioid epidemic. METHODS: An inexpensive, Genedia-based HCV IgG antibody avidity assay was evaluated as a platform to estimate cross-sectional, population-level primary HCV incidence using 1,840 HCV antibody and RNA-positive samples from 875 individuals enrolled in 5 cohort studies in the US and India. Using samples collected <2 years following HCV seroconversion, the mean duration of recent infection (MDRI) was calculated by fitting a maximum likelihood binomial regression model to the probability of appearing recent. Among samples collected ≥2 years post-HCV seroconversion, an individual-level false recent ratio (FRR) was calculated by estimating the probability of appearing recent using an exact binomial test. Factors associated with falsely appearing recent among samples collected ≥2 years post seroconversion were determined by Poisson regression with generalized estimating equations and robust variance estimators. RESULTS: An avidity index cut-off of <40% resulted in an MDRI of 113 days (95% CI 84-146), and FRRs of 0.4% (95% CI 0.0-1.2), 4.6% (95% CI 2.2-8.3), and 9.5% (95% CI 3.6-19.6) among individuals who were HIV-uninfected, HIV-infected, and HIV-infected with a CD4 count <200/µl, respectively. No variation was seen between HCV genotypes 1 and 3. In hypothetical scenarios of high-risk settings, a sample size of <1,000 individuals could reliably estimate primary HCV incidence. CONCLUSIONS: This cross-sectional approach can estimate primary HCV incidence for the most common genotypes. This tool can serve as a valuable resource for program and policy planners seeking to monitor and reduce HCV burden. LAY SUMMARY: Determining the rate of new hepatitis C virus (HCV) infections in a population is critical to monitoring progress toward HCV elimination and to appropriately guide control efforts. However, since HCV infections are most often initially asymptomatic, it is difficult to estimate the rate of new HCV infections without following HCV-uninfected people over time and repeatedly testing them for HCV infection. Here, we present a novel, resource-efficient method to estimate the rate of new HCV infections in a population using data from a single timepoint.

Assessing the Quality of Human Immunodeficiency Virus Care in Nursing Homes.

BACKGROUND: Quality of human immunodeficiency virus (HIV) care in nursing homes (NHs) has never been measured. DESIGN: A cross-sectional study. SETTING: NHs. PARTICIPANTS: A total of 203 NHs and 1375 persons living with HIV. MEASUREMENTS: Medicare claims from 2011 to 2013 were linked to assessments of resident health, prescription dispensing data, and national reports of NH characteristics. Five nationally validated HIV care quality measures (prescription of antiretroviral therapy; CD4/viral load monitoring; frequency of medical visits; gaps in medical visits; and Pneumocystis pneumonia prophylaxis) were adapted and applied to NHs. Logistic regression predicted compliance by organizational factors. Random intercept logistic regression predicted if persons living with HIV received care by person and organizational factors. RESULTS: Compliance ranged from 43.3% (SD = 31.1%) for CD4/viral load monitoring to 92.4% (SD = 13.6%) for gaps in medical visits. More substantiated complaints against an NH decreased the likelihood of high compliance with CD4/viral load monitoring (odds ratio [OR] = 0.846; 95% confidence interval [CI] = 0.726-0.986), while NH-reported incidents increased the likelihood of high compliance with pneumocystis pneumonia prophylaxis (OR = 1.173; 95% CI = 1.044-1.317). Differences between NHs explained 21.2% or less of variability in receipt of care. CONCLUSIONS: Since 2013, the population with HIV and NH HIV care quality has inevitably evolved; however, this study provides previously unknown baseline metrics on NH HIV care quality and highlights significant challenges when measuring HIV care in NHs. J Am Geriatr Soc 68:1226-1234, 2020.