Factors associated with unquantifiable total HIV-1 DNA in peripheral blood in persons living with HIV: An observational study.

Background: The human immunodeficiency virus type 1 (HIV-1) cannot be eradicated even with suppressive antiretroviral therapy because its retrotranscribed genome integrates into the DNA of host cells, creating a long-term reservoir. Quantification of total HIV-1 DNA in peripheral blood is a biomarker of this reservoir that can predict progression of the infection, treatment response, and HIV-1-related complications. A deeper understanding of the reservoir may help develop a cures. Objective: This study aimed to characterize persons living with HIV-1 (PLWH) with unquantifiable total HIV-1 DNA in blood (below the quantification threshold) and identify associated factors. Methods: We have conducted a retrospective observational study. During the study period, all PLWH who had total leukocyte-associated HIV-1 DNA measured by quantitative PCR were included. We have isolated a population of participants with HIV-1 DNA levels below the quantification threshold (40 copies/106 leukocytes). Results: Out of 1094 patients analysed, 62 had unquantifiable and 1032 quantifiable HIV-1 DNA levels in blood. We have found that those with unquantifiable HIV-1 DNA had a higher CD4 T cell nadir (p = 0.006) and a lower viral load zenith (p < 0.001). Multivariate analyses showed that initiation of treatment in primary infection was the only protective factor against HIV-1 DNA quantifiability, the odds of HIV-1 DNA quantifiability decreased by 82% in those treated within 30 days of infection, after controlling for other factors. Conclusion: Our research highlights the importance of an early start of anti-retroviral therapy to limit the size of the HIV-1 reservoir, as receiving treatment during primary infection was found as the only protective factor against quantifiability of HIV-1 DNA in blood.

The build-up of stock of stable integrated proviruses overtime explains the difficulty in reducing HIV-1 DNA levels when treatment is initiated at the chronic stage of the infection.

Background: Understanding factors affecting the size and the evolution of the HIV reservoir is essential for the development of curative strategies. This study aimed to assess the impact of antiretroviral therapy (ART) initiated during primary infection (PHI) vs chronic infection (CHI) on the levels and dynamics of integrated HIV-1 DNA, a biomarker of viral persistence. Methods: Integrated and total HIV-1-DNA were measured in the blood of 92 patients treated during PHI (early group) and 41 during CHI (deferred group), at diagnosis, ART initiation, and 12-24 months on treatment. Results: On ART, detectable (>1.78 log10 copies/106 PBMCs) integrated HIV-1 DNA levels were significantly lower in the early vs deferred group (2.99 log10vs 3.29 log10,p = 0.005). The proportion of undetectable integrated HIV-1 DNA tended to be higher in the early group vs deferred group (61 % vs 46 %; p = 0.133). Conclusion: Treatment initiated at PHI limits the levels of integrated HIV-1 DNA in blood. However, initiating treatment at CHI does not allow reaching such low levels in most patients, probably because the stable proviruses at that stage are present in the less prone to elimination long-lived cells. Thus, early ART could provide an opportunity to preparing for functional cure and eradication strategies.

Is Machine Learning-derived Low-Density Lipoprotein Cholesterol estimation more reliable than standard closed form equations? Insights from a laboratory database by comparison with a direct homogeneous assay.

BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol (LDL-C) in routine laboratories. METHODS: We conducted a retrospective study to compare the performances of a Machine Learning (ML) algorithm using the K-Nearest Neighbors (LDL-KNN) method with that of the Friedewald formula (LDL-F), the Martin-Hopkins equation (LDL-NF), the de Cordova equation (LDL-CO) and the Sampson equation (LDL-SA) against direct homogeneous LDL-C assay (LDL-D) in patients who presented to the Laboratories of Hôtel Dieu de France university hospital in Beirut, Lebanon, from September 2017 to July 2020. Agreements between methods were analyzed using Intraclass Correlation Coefficients (ICC) and the Bland-Altman method of agreement. RESULTS: 31,922 observations from 19,279 subjects were included, with a mean age of 52 ± 18 years and 10,075 (52.3%) females. All methods except LDL-F and LDL-CO exhibited an overall ICC beyond the 0.9 cut-off. LDL-SA, LDL-NF and LDL-KNN were less susceptible to triglyceridemia than LDL-F and LDL-CO, with LDL-KNN resulting in the lesser fraction of points beyond the Bland-Altman limits of agreement. CONCLUSION: An ML algorithm using LDL-KNN is promising for the estimation of LDL-C as it agrees better with LDL-D than closed form equations, especially in mild and severe hypertriglyceridemia.

Do age-adjusted sex-specific cut-off values improve the agreement between high sensitivity cardiac troponins I and T? A retrospective study.

BACKGROUND: Many reports noted a disagreement between High sensitivity cardiac Troponin (hs-cTn) assays on the diagnosis of Acute Coronary Syndrome (ACS). METHODS: We conducted a retrospective study aiming to assess the agreement between hs-cTn T (Roche) and hs-cTn I (Abbott) in patients presenting with a suspected ACS to the emergency department at Hotel-Dieu hospital between September 2017 and October 2019 using overall, sex-specific, and age-adjusted sex-specific cut-off values. This was measured using Cohen's Kappa. We explored whether renal function, circadian rhythm, age and sex influenced the discordance. And we analyzed the trend of agreement between baseline and repeated measurements. RESULTS: 4856 patients who had simultaneous hs-cTn I and T values were retained for the analysis. 53.5% had a hs-cTn T above the overall 99th percentile, compared to 19.9% for hs-cTn I. The numbers were significantly reduced when applying age-adjusted sex-specific 99th percentile. A disagreement was seen in 34% of cases using overall 99th percentile. Using sex-specific cut off values did not impact this discordance; however, age-adjusted sex-specific cut-off values reduced the percentage of discrepancies to 15.8%. The decreased renal function had a negative effect on the agreement while the circadian rhythm had minimal effect. This initial discordance was carried forward into repeated measurements. CONCLUSION: The disagreement between hs-cTn T and I assays could be imputed to the choice of cut-off values. The use of age-adjusted sex specific 99th percentile reduced majorly these discordances. Further studies are needed in order to evaluate their clinical utility in patients presenting with ACS.