Mortality risk in the population of HIV-positive individuals in Southern China: A cohort study

Survival rate and its predictors in HIV patients: A 15-year follow-up of 3030 patients

BACKGROUND

The high prevalence of HIV infection and the deaths caused by it is one of the challenges for the healthcare systems throughout the world. In this study, we analyzed the survival of people living with HIV and co-infections, and related factors.

METHODS

This retrospective cohort study was performed on 3030 people living with HIV admitted to Imam Khomeini Behavioral Disease Counseling Center, Tehran, Iran, during 2004-2018. Required data were obtained from the individuals' files. Kaplan Meier diagrams and Log-rank tests were used to assess the relationship between different factors and survival. In addition, Cox regression analysis was performed to determine the effective factors in HIV mortality. Data were analyzed using STATA software, version 14.

RESULTS

The mean age of studied population was 43.2 ± 9.5 [years] and 77.3 % were male. Among the subjects, 3.2 % were infected with hepatitis B, 31.5 % with hepatitis C, and 13.9 % with Tuberculosis (TB). One, five, ten, and fifteen-year survival rates were 97.0 %, 93.0 %, 86.0 %, and 54.0 %, respectively. The mean survival time was 154.2 ± 0.9 months. Age more than 35, history of imprisonment, Unsafe sexual behavior, TB, and hepatitis C are independently associated with death in people living with HIV (p < 0.05).

CONCLUSION

The survival of people living with HIV in the present study was in the favorable range compared to previous studies. However, co-infection with hepatitis C was associated with reduced survival of the subjects in this study. Therefore, it is suggested to detect and then prevent and control HCV co-infection to increase the survival of subjects.

Immunologic Biomarkers in Peripheral Blood of Persons With Tuberculosis and Advanced HIV

Introduction

Tuberculosis (TB) is a common opportunistic infection among people living with HIV. Diagnostic tests such as culture, Xpert-MTB-RIF, and ULTRA have low sensitivity in paucibacillary TB disease; a blood biomarker could improve TB diagnostic capabilities. We assessed soluble factors to identify biomarkers associated with TB among persons with advanced HIV.

Methods

A case-control (1:1) study was conducted, with participants from Rio de Janeiro and Manaus, Brazil. People living with HIV presenting with CD4 count ≤100 cells/mm3 were eligible to participate. Cases had culture-confirmed TB (N=15) (positive for Mycobacterium tuberculosis [Mtb]); controls had HIV-infection only (N=15). Study visits included baseline, month 2 and end of TB therapy, during which samples of peripheral blood were obtained. A panel containing 29 biomarkers including cytokines, chemokines and growth factors was utilized to assess candidate biomarkers using Luminex technology in cryopreserved EDTA plasma samples. We used neural network analysis, based on machine learning, to identify biomarkers (single or in combination) that best distinguished cases from controls. Additional multi-dimensional analyses provided detailed profiling of the systemic inflammatory environment in cases and controls.

Results

Median CD4 count and HIV-1 RNA load values were similar between groups at all timepoints. Persons with TB had lower body mass index (BMI) (median=19.6, Interquartile Range [IQR]=18.6-22.3) than controls (23.7; IQR: 21.8 = 25.5, p=0.004). TB coinfection was also associated with increased frequency of other comorbidities. The overall profile of plasma cytokines, chemokines and growth factors were distinct between the study groups at all timepoints. Plasma concentrations of IL-15 and IL-10 were on average lower in TB cases than in controls. When used in combination, such markers were able to discriminate between TB cases and controls with the highest degree of accuracy at each study timepoint.

Conclusion

Among persons with advanced HIV, plasma concentrations of IL-15 and IL-10 can be used in combination to identify TB disease regardless of time on anti-TB treatment.

Clinical Evaluation of Active Tuberculosis-Related Deaths in Shenzhen, China: A Descriptive Study

Objective

The aim of this study was to assess active tuberculosis-related deaths in Shenzhen city of China to identify major causes of mortality in different age groups.

Patients and Methods

Medical records of mortality cases of patients with active TB diagnosed during 2013-2018 were reviewed. All TB deaths were classified into two broad age groups (the young group: 18-65 years old and the elderly group: >65 years old). Causes of death were analyzed based on medical records.

Results

A total of 279 mortality cases of active TB were reviewed during the study period. Among them, mean age was 54.0±20.5 years old; 80.6% (225/279) were male. There were 5.7% and 4.6% MDR/XDRTB patients in the young and elderly group. Newly treated TB accounted for 89.6% in the young group and 85.1% in the elderly group. Pulmonary TB was a major infection type in both groups (65.1% vs 77.0%). Advanced TB (23.4%) and HIV co-infection (20.8%) were the leading causes of deaths in the young group, but deaths in the elderly group were mostly associated with underlying diseases, including cardiovascular disease (52.9%), diabetes (33.3%), COPD (16.1%) and cancer (11.5%). Malnutrition was a significant condition in both groups (43.2% vs 35.6%). In terms of respiratory complications, bacterial infection was the leading comorbidity in both groups (27.1% vs 18.4%), followed by septic shock (18.2% vs 12.6%) and respiratory failure (12.0% vs 11.5%). There were no significant statistical differences between the two groups.

Conclusion

Our findings suggest that screening for HIV co-infection and early diagnosis of TB is vital in lowering TB-related deaths in young patients. Most deaths in elderly TB patients were caused by underlying health conditions or complications other than TB.