Evaluation of the late presentation and associated factors of people living with HIV in Turkey.

To identify the frequency of late presentation and late presentation with advanced disease, and associated factors in people living with HIV (PLHIV). Data from PLHIV diagnosed between 2008 and 2021 were retrospectively analyzed. Time of diagnosis (categorized based on key events affecting HIV care continuum e.g., national strategies, HIV guidelines, COVID-19 pandemic) and characteristics of late presenters (LP: CD4 ≤350 cells/mm³ or an AIDS defining event) and late presenters with advanced disease (LPAD: CD4 <200 cells/mm³) were describe. Associations between dependent (LP, LPAD) and independent variables were assessed using univariate/multivariate regression tests and presented as odds ratios (95% confidential interval). Of 1585 individuals (93.7% men), 42.5% were LPs and 19.3% were LPADs. Most common route of transmission was sex between men (54.3%). Non-LPs were younger (30 vs. 34 and 36 years; p < 0.001) and included more men who have sex with men (60.3% vs. 46.3% and 39.5%; p < 0.001). Factors associated with being LP and LPAD were age >30 years, heterosexual/unknown route of transmission (vs. sex between men), diagnosis in 2008-2013 or 2020-2021, (vs. 2014-2019). With reference to Turkish subjects, migrants from Africa had higher odds of being LPAD. LP is still an important health issue in HIV care. Heterosexuality, older age (>30 years), migration from Africa, and the COVID-19 pandemic are associated with delays in HIV presentation in Turkey. These factors need to be considered when developing and implementing policies to enable earlier diagnosis and treatment of PLHIV to achieve UNAIDS 95-95-95 targets.

Changing Characteristics of Patients Living with HIV/AIDS After the COVID-19 Pandemic in Turkey.

AIMS: The COVID-19 pandemic has substantially changed lives and presented several barriers to health services. HIV care continuum needs a high rate of diagnosis, effective treatment, and sustained suppression of viral replication. The COVID-19 pandemic has affected these three steps of HIV care. This study investigated the characteristics of newly diagnosed patients living with HIV/AIDS (PLWH) during the COVID pandemic and compared them with those before the pandemic. METHODS: All newly diagnosed patients in three HIV healthcare centers, in Istanbul, Turkey, were included in the study. The pandemic period included April 1, 2020, to April 1, 2021, and the prepandemic period included March 1, 2019, to March 1, 2020. RESULTS: 756 patients were diagnosed with HIV/AIDS. In the pandemic period, this figure was 58% less: 315. Patients in the pre-pandemic and pandemic period had comparable age and gender distributions. PLWH diagnosed in the pandemic period had higher rates of low CD4 cells: low CD4 (<350 cells /mm3) was measured in 243 (36.4%) patients in the pre-pandemic period, while it was done in 126 (47.9%) in the pandemic period (p<0.01). Also, the distribution of CD4 cells was significantly different between periods: In the pandemic period, CD4 cell distribution significantly skewed to lower CD4 categories. Symptomatic patient rates and AIDS-defining disorder rates among symptomatic patients were comparable. Viral loads were not significantly different in the two periods. CONCLUSION: A low number of newly diagnosed PLWH can be explained by less HIV testing, less admission to health care, or an actual decrease of HIV prevalence during the pandemic. Sexual behaviors may have changed during the COVID-19 pandemic, leading to HIV transmission restriction. Lower CD4 counts among the newly diagnosed PLWH suggest that admittance to health care is late and a significant portion of PLWH remain undiagnosed.

Does DPP-4 inhibitor treatment affect the clinical outcomes of COVID-19 in type 2 diabetes mellitus patients?

OBJECTIVE: We aim to investigate whether the use of dipeptidyl peptidase inhibitors (DPP-4i) affects the severity of disease, hospital mortality, and 3-month post-discharge mortality in type 2 diabetes mellitus (T2DM) individuals with coronavirus disease 2019 (COVID-19) infection. METHODS: The study included 217 patients with type 2 diabetes hospitalized due to COVID-19 between March and October 2020. The patients included in the study were divided into two groups those using DPP-4i and those not using DPP-4i. Demographic characteristics, laboratory parameters, accompanying risk factors, concomitant comorbidities, hospital mortality, clinical course, and 3-month post-discharge mortality were compared between the patients who used DPP-4i and those who did not use. RESULTS: The duration of hospitalization was 10.96±9.16 days in the group using DPP-4i, 12.22±9.1 days in the group not using DPP-4i, and when both groups were evaluated together, it was determined as 11.91±9.11 days. The hospitalization periods were similar between DPP-4i users and non-DPP-4i users (p=0.384). The need for mechanical ventilation (p=0.478 OR 0.710 95% confidence interval [CI], 0.274-1.836) and high-flow nasal cannula (p=0.457, OR: 0.331, 95% CI: 0.41-2.67) were similar between DPP-4i users and non-users. It was determined that the mortality (p=0.208, OR: 0.409, 95% CI: 0.117-1.429) and 3-month post-discharge mortality (p=0.383) were similar in the group using DPP-4i and those not using DPP-4i. CONCLUSION: This study demonstrated that the use of DPP-4i by patients with T2DM in catching COVID-19 does not affect the mortality due to COVID-19, the severity of COVID-19 disease, and 3-month post-discharge mortality.

What were the changes during the COVID-19 pandemic era concerning occupational risks among health care workers?

BACKGROUND: Accidental exposure to percutaneous needle stick and sharp injuries (NSSIs) and blood and other body fluids is the unintended contact with risky medical instruments or patient secretions during a medical intervention. During the COVID-19 pandemic, the significance of occupational injuries in healthcare professionals was revealed once again. To assess the occupational injuries, we compared rates, distribution and type of exposure to blood and body fluids and NSSIs of health care workers for 2019 (pre-pandemic era) and 2020 (pandemic era) years, respectively. MATERIAL AND METHODS: Our study included data collected by the 'Hospital Infection Control Committee' for the years 2019-2020. Data collected using the active surveillance method were analyzed retrospectively. RESULTS: During 2019 (pre-pandemic period) and 2020 (pandemic period), 112 (27.65%0) and 82 (21.4%0) NSSIs reported, respectively. Of the exposed HCWs in 2019 (pre-pandemic period), 16.8%0 (14) were doctor, 53.6%0 (60) were nurse and 47.4%0 (14) were intern doctors. In the 2020 (pandemic period), NSSIs were observed most frequently in nurses and cleaning staff, 50.24%0 and 33.64%0, respectively. Concerning the total percentage of exposure to blood and other body fluids, a slight increase was revealed from 1.48%0 to 2.62%0 in 2019 and 2020, respectively. A significant decrease in exposure rate was reported among the doctors between the pre-pandemic and pandemic era; 3.6%0 and 1.19%0 at 2019 and 2020, respectively. A significant increase in exposure rate was reported among the nurses between pre-pandemic and pandemic era; 0.8%0 and 6.89%0, respectively. CONCLUSION: In conclusion, the exposure to NSSIs during the pandemic period decreased; however, there was no severe difference at pre-pandemic and pandemic periods concerning exposure to blood and body fluids. Well-designed training and awareness programs can be effective in preventing exposure to NSSIs and blood and other body fluids and exposure to respiratory acquired viruses.

Could we predict the prognosis of the COVID-19 disease?

OBJECTIVES: Coronavirus 2019 disease (COVID-19) lead to one of the pandemics of the last century. We aimed to predict poor prognosis among severe patients to lead early intervention. METHODS: The data of 534 hospitalized patients were assessed retrospectively. Risk factors and laboratory tests that might enable the prediction of prognosis defined as being transferred to the intensive care unit and/or exitus have been investigated. RESULTS: At the admission, 398 of 534 patients (74.5%) were mild-moderate ill. It was determined that the male gender, advanced age, and comorbidity were risk factors for severity. To estimate the severity of the disease, receiver operating characteristic analysis revealed that the areas under the curve which were determined based on the optimal cut off values that were calculated for the variables of values of neutrophil to lymphocyte ratio (NLR > 3.69), C-reactive protein (CRP > 46 mg/L), troponin I ( > 5.3 ng/L), lactate dehydrogenase (LDH > 325 U/L), ferritin ( > 303 ug/L), d-dimer ( > 574 µg/L), neutrophil NE ( > 4.99 × 109 /L), lymphocyte (LE < 1.04 × 109 /L), SO2 ( < %92) were 0.762, 0.757,0.742, 0.705, 0.698, 0.694,0.688, 0.678, and 0.66, respectively. To predict mortality, AUC of values for optimal cutoff troponin I ( > 7.4 ng/L), age ( > 62), SO2 ( < %89), urea ( > 40 mg/dL), procalcitonin ( > 0.21 ug/L), CKMB ( > 2.6 ng/L) were 0.715, 0.685, 0.644, 0.632, 0.627, and 0.617, respectively. CONCLUSIONS: The clinical progress could be severe if the baseline values of NLR, CRP, troponin I, LDH, are above, and LE is below the specified cut-off point. We found that the troponin I, elder age, and SO2 values could predict mortality.