Assessment of Satisfaction with Life among Elderly Patients Receiving HIV Care and Treatment in Mulago HIV Clinic: A Chronic Illness Quality of Life Model

Objective: This study aimed at assessing satisfaction with life among elderly HIV patients attending Mulago HIV Clinic. Methodology: A cross-sectional study design carried out among elderly people (>50 years old) attending Mulago HIV clinic, as stated by the WHO standard age cut-off of >50 years. A random selection of 353 elderly HIV patients was made. The study collected quantitative data to assess patient satisfaction with life, Illness related to discrimination, Barriers to healthcare and social services, and Physical wellbeing, social support and coping using quantitative data collection techniques. Interview discussions were harnessed to obtain patients’ opinions and perceptions and then results grouped into themes. EPIDATA and STATA 14.2 statistical softwares were used for statistical analysis. Results: The study showed that only variables that were significantly associated at multivariate level are, disagreeing that other patients are seen before you when you are first to arrive, which had an odds ratio of 2.87, disagreeing that your employer can never promote you which had an odds ratio of 6.87 compared to agreeing, not being sure whether friend or family member cannot share room/utensil/clothes with you reduced the odds of being satisfied by 95% when compared to agreeing and disagreeing that friend or family member blames you for not getting better with an odds ratio of 5.65 compared to agreeing. Conclusion: This study unearthed existing gaps in levels of satisfaction. These shortfalls in the service delivery can be addressed according to the following recommendations below: Create a quick way for elderly patients to see a clinician and give them priority, provide more work-related support awareness programs;Put more efforts towards counselling care takers or family members who help them to adhere or socialize with them.

Seroprevalence of IgG and IgM anti-Toxoplasma antibodies in HIV/AIDS patients,northern Iran

ObjectiveTo determine the seroprevalence of anti-Toxoplasma gondii (T. gondii) IgG and IgM antibodies in HIV/AIDS patients and uninfected subjects.MethodsThis cross sectional survey was carried out on 78 healthy and 62 HIV+/AIDS individuals in northern Iran between September 2007 and October 2008. Five mL of blood samples were collected from each person in case and control groups. Determination of CD4+ counts was performed by flow cytometry. The serum separated from blood samples was evaluated by conventional ELISA technique to determine the presence of antibodies to T. gondii.ResultsForty eight out of 62 (77.4%) HIV/AIDS serum samples were found positive for anti-T. gondii IgG antibody, compared with 59 among 78 (75.6%) HIV negative samples from the same area (P > 0.05). Six out of 62 (9.7%) HIV+/AIDS patients showed anti-T. gondii IgM antibody in their serum samples, compared with 7 among 78 (9%) HIV negative samples (P > 0.05). The mean of CD4+ counts in HIV+/AIDS was (430.8±182.3) cells/μL and in control group was (871.0±243.3)% cells/μL (P<0.01). CD4+ estimation in 5 (11.1%) of HIV+/AIDS patients was <200 cells/μL (P < 0.0001).ConclusionsSeroprevalence of latent toxoplasmosis in HIV patients is high, therefore the prevention of toxoplasmic encephalitis, administration of primary prophylaxis with co-trimoxazole to all HIV+/AIDS patients are necessary.

Optimizing the Dosage Regimen of Micafungin against <i>Candida spp</i>in HIV Positive Patients with EC Based on Mote Carlo Simulation

The objective of our study was to explore the possibility of the antifungal efficacy of various micafungin dosage regimens against Candida spp in HIV positive patients with EC. According to pharmacokinetic/pharmacodynamics parameters of micafungin in HIV positive patients and MICs distribution of micafungin against Candida spp. in published studies, the dosage regimens of micafungin were 50, 100 and 150 mg QD iv. Monte Carlo Simulation analysed the probability of target attainment and cumulative fraction of response. The results showed that micafungin has good antifungal effect in treating HIV positive patients with EC when pathomycetes are Candida albicans, Candida glabrata or Candida tropicalis, in dosage at 100 mg QD and 150 mg QD.

A Review of Index Case Testing Induced Intimate Partner Violence and Electronic Management of Information in HIV Care

Intimate Partner Violence (IPV) is a form of Gender Base Violence (GBV) where an intimate partner perpetrates violence. In the HIV care continua which has the aim of achieving epidemic control based on the goals defined by UNAIDS, 95% of people living with HIV (PLHIV) have to know their HIV status, 95% initiated ARV treatment and 95% are virally suppressed in order to achieve epidemic control. One of the evidence-based strategies used for achieving an optimal number of PLHIV who know their HIV status is the Index Case Testing Strategy (ICT). While the ICT strategy helps the achievement of epidemic control, its implementation increases the incidence of IPV among either serodiscordant or concordant couples. Tackling information about IPV is very sensitive. A review of the literature on the management of HIV patient information has shown that shifting from paper-based management of HIV patient information to computerized Electronic Medical Records (EMR) systems, using software such as OPEN MRS has significantly improved the management of HIV patient information with high-level confidentiality of patient information. The reviews showed that the EMR systems put in place to manage HIV patient information need to integrate the stages used for the management of IPV among PLHIV.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Steps To ward HIV Cure Two more HIV-infected patients appear to be virus-free after bone-marrow transplants

THIS year＇s International AIDS Society Conference on HIV Pathogenesis, Treatment and Preven-／tion, held in Kuala Lumpur, Malaysia, made major headlines when Timothy Hendch, an American doctor, announced that two more cancer patients may have been cured of HIV after receiving bone-marrow transplants to treat lymphoma. Both patients had been taking retroviral medication, and continued to do so after the transplants as their viral levels sank until doctors were unable to find any traces of HIV in the patients＇ blood.

A REPORT ON 8 SERONEGATIVE CONVERTED HIV/AIDS PATIENTS WITH TRADITIONAL CHINESE MEDICINE

Since February 1990, during the treatment of HIV/AIDS patients in Tanzania, seronegative conversion （SNC） occurredin 8 HIV/AIDS patients after medication with traditional Chinese medicine. Among them, 7 cases have been checked with PCR amplifying assay and 5 patients with p24 antigen. The 8 cases were reported in this article.