Clinical characteristics and outcomes of COVID-19 patients in Bali, Indonesia.

INTRODUCTION: The spectrum of illness and outcomes of coronavirus disease 2019 (COVID-19) patients may vary. This study reports the characteristics of COVID-19 patients in Bali, Indonesia, and evaluates the diagnostic value of their clinical symptoms. METHOD: This observational study was conducted in eight hospitals. The patients were classified as non-severe COVID-19, severe COVID-19, and non-COVID-19. Demographics, clinical, laboratory, and radiologic characteristics, and outcomes of COVID-19 patients were collected. Factors associated with the severity and outcomes were assessed using the chi-squared test or ANOVA when appropriate. We also compared the clinical features of non-severe COVID-19 and non-COVID-19 patients to evaluate the diagnostic accuracy. RESULTS: This study included 92 patients: 41 non-COVID-19 and 51 COVID-19 patients, comprising 45 non-severe and six severe cases. The most common symptoms of COVID-19 were cough (47.1%), fever (31.0%), and dyspnea (25.3%). Cough, fatigue, and anosmia have high accuracy, and combining these complaints in clinical diagnostics offered a higher accuracy in predicting COVID-19 patients (60.1%). We found lower lymphocyte counts and interleukin-1R levels and higher levels of C-reactive protein, interleukin-6, and interleukin-8 in severe compared than in non-severe COVID-19 patients. Lactate dehydrogenase was associated with intensive care unit admission and ventilator use, while other markers such as neutrophil-lymphocyte ratio, C-reactive protein, and interleukin-6 were not. CONCLUSION: A battery of symptoms, including cough, fatigue, and anosmia, is likely associated with COVID-19 in Bali. Clinicians should be aware of these symptoms to ensure a prompt diagnostic test for COVID-19, beyond other causes of acute febrile illnesses.

High levels of serum IL-6 and serum hepcidin and low CD4 cell count were risk factors of anemia of chronic disease in HIV patients on the combination of antiretroviral therapy.

Purpose: This study aimed to determine whether high levels of serum IL-6 and serum hepcidin and CD4<350 cells/ul were risk factors for the anemia of chronic disease (ACD) in HIV-infected patients on the combination of antiretroviral (cARV) therapy with successful clinically and immunological responses. Patients and Methods: A matched case-control study was conducted in the VCT clinic of Sanglah General Hospital, Indonesia, between January 1 and September 1, 2016. The case group was HIV patients with ACD, while the control group was HIV patients without ACD. Purposive consecutive sampling was employed in HIV patients aged 15-65 years who have received cARV therapy for >6 months, had >95% adherence of cARV within 6 months, did not have any clinical failure, did not have any immunological failure and did not receive switch therapy within 6 months. Chi-square test and logistic regression analysis were performed. Results: A total of 42 cases and 42 controls were included in this study. Significant differences were found between case and control, which included serum IL-6, serum hepcidin, smoking, creatinine clearance, anemia at the initiation of cARV, CD4 at the initiation of cARV and actual CD4 (cell/µL). High levels of serum IL-6, high levels of serum hepcidin and CD4< 350 cells/µl were risk factors for ACD. After adjusted with anemia at cARV initiation and BMI, we found that high levels of serum IL-6 (adjusted OR: 17.682; 95% CI: 3.442-90.826), high levels of serum hepcidin (adjusted OR: 10.562; 95% CI: 2.531-44.076) and CD4 <350 cells/µl (adjusted OR: 4.181; 95% CI: 5.6-12.381) remain as risk factors for ACD. Conclusion: High levels of serum IL-6, high levels of serum hepcidin and CD4 count <350 cells/µL were risk factors for ACD in HIV patients with cARV therapy.

Brief Report: Malignancies in Adults Living With HIV in Asia.

BACKGROUND: Hematological malignancies have continued to be highly prevalent among people living with HIV (PLHIV). This study assessed the occurrence of, risk factors for, and outcomes of hematological and nonhematological malignancies in PLHIV in Asia. METHODS: Incidence of malignancy after cohort enrollment was evaluated. Factors associated with development of hematological and nonhematological malignancy were analyzed using competing risk regression and survival time using Kaplan-Meier. RESULTS: Of 7455 patients, 107 patients (1%) developed a malignancy: 34 (0.5%) hematological [0.08 per 100 person-years (/100PY)] and 73 (1%) nonhematological (0.17/100PY). Of the hematological malignancies, non-Hodgkin lymphoma was predominant (n = 26, 76%): immunoblastic (n = 6, 18%), Burkitt (n = 5, 15%), diffuse large B-cell (n = 5, 15%), and unspecified (n = 10, 30%). Others include central nervous system lymphoma (n = 7, 21%) and myelodysplastic syndrome (n = 1, 3%). Nonhematological malignancies were mostly Kaposi sarcoma (n = 12, 16%) and cervical cancer (n = 10, 14%). Risk factors for hematological malignancy included age >50 vs. ≤30 years [subhazard ratio (SHR) = 6.48, 95% confidence interval (CI): 1.79 to 23.43] and being from a high-income vs. a lower-middle-income country (SHR = 3.97, 95% CI: 1.45 to 10.84). Risk was reduced with CD4 351-500 cells/µL (SHR = 0.20, 95% CI: 0.05 to 0.74) and CD4 >500 cells/µL (SHR = 0.14, 95% CI: 0.04 to 0.78), compared to CD4 ≤200 cells/µL. Similar risk factors were seen for nonhematological malignancy, with prior AIDS diagnosis showing a weak association. Patients diagnosed with a hematological malignancy had shorter survival time compared to patients diagnosed with a nonhematological malignancy. CONCLUSIONS: Nonhematological malignancies were common but non-Hodgkin lymphoma was more predominant in our cohort. PLHIV from high-income countries were more likely to be diagnosed, indicating a potential underdiagnosis of cancer in low-income settings.

Changes in renal function with long-term exposure to antiretroviral therapy in HIV-infected adults in Asia.

PURPOSE: Renal disease is common among people living with human immunodeficiency virus (HIV). However, there is limited information on the incidence and risk factors associated with renal dysfunction among this population in Asia. METHODS: We used data from the TREAT Asia HIV Observational Database. Patients were included if they started antiretroviral therapy during or after 2003, had a serum creatinine measurement at antiretroviral therapy initiation (baseline), and had at least 2 follow-up creatinine measurements taken ≥3 months apart. Patients with a baseline estimated glomerular filtration rate (eGFR) ≤60 mL/min/1.73 m2 were excluded. Chronic kidney disease was defined as 2 consecutive eGFR values ≤60 mL/min/1.73 m2 taken ≥3 months apart. Generalized estimating equations were used to identify factors associated with eGFR change. Competing risk regression adjusted for study site, age and sex, and cumulative incidence plots were used to evaluate factors associated with chronic kidney disease (CKD). RESULTS: Of 2547 patients eligible for this analysis, tenofovir was being used by 703 (27.6%) at baseline. Tenofovir use, high baseline eGFR, advanced HIV disease stage, and low nadir CD4 were associated with a decrease in eGFR during follow-up. Chronic kidney disease occurred at a rate of 3.4 per 1000 patient/years. Factors associated with CKD were tenofovir use, old age, low baseline eGFR, low nadir CD4, and protease inhibitor use. CONCLUSIONS: There is an urgent need to enhance renal monitoring and management capacity among at-risk groups in Asia and improve access to less nephrotoxic antiretrovirals.

Trends in first-line antiretroviral therapy in Asia: results from the TREAT Asia HIV observational database.

BACKGROUND: Antiretroviral therapy (ART) has evolved rapidly since its beginnings. This analysis describes trends in first-line ART use in Asia and their impact on treatment outcomes. METHODS: Patients in the TREAT Asia HIV Observational Database receiving first-line ART for ≥ 6 months were included. Predictors of treatment failure and treatment modification were assessed. RESULTS: Data from 4662 eligible patients was analysed. Patients started ART in 2003-2006 (n = 1419), 2007-2010 (n = 2690) and 2011-2013 (n = 553). During the observation period, tenofovir, zidovudine and abacavir use largely replaced stavudine. Stavudine was prescribed to 5.8% of ART starters in 2012/13. Efavirenz use increased at the expense of nevirapine, although both continue to be used extensively (47.5% and 34.5% of patients in 2012/13, respectively). Protease inhibitor use dropped after 2004. The rate of treatment failure or modification declined over time (22.1 [95%CI 20.7-23.5] events per 100 patient/years in 2003-2006, 15.8 [14.9-16.8] in 2007-2010, and 11.6 [9.4-14.2] in 2011-2013). Adjustment for ART regimen had little impact on the temporal decline in treatment failure rates but substantially attenuated the temporal decline in rates of modification due to adverse event. In the final multivariate model, treatment modification due to adverse event was significantly predicted by earlier period of ART initiation (hazard ratio 0.52 [95%CI 0.33-0.81], p = 0.004 for 2011-2013 versus 2003-2006), older age (1.56 [1.19-2.04], p = 0.001 for ≥ 50 years versus <30 years), female sex (1.29 [1.11-1.50], p = 0.001 versus male), positive hepatitis C status (1.33 [1.06-1.66], p = 0.013 versus negative), and ART regimen (11.36 [6.28-20.54], p<0.001 for stavudine-based regimens versus tenofovir-based). CONCLUSIONS: The observed trends in first-line ART use in Asia reflect changes in drug availability, global treatment recommendations and prescriber preferences over the past decade. These changes have contributed to a declining rate of treatment modification due to adverse event, but not to reductions in treatment failure.