No abstract

Background/aim: Tuberculosis (TB) is one of the most common chronic infectious conditions causing mortality and se- vere outcomes, particularly in people living with HIV/AIDS (PLWHA). In this study, we aimed to determine the prevalence and predictors of TB among PLWHA. Materials and methods: We conducted a retrospective and single-center study of adults (≥18 years) PLWHA registered at our tertiary teaching and research hospital between 2000 and 2016. Results: A total of 711 PLWHA were included. Of whom, 633 (89.0%) were male. Mean age was 36.53 ±11.55 years (range, 17-79). Thirty-eight (5.3%) patients were diagnosed with active TB. TB development was associated with low CD4+ lymphocyte count (p<0.001), high viral load (p=0.040) and alcohol consumption (p=0.004) but no association with age (p=0.392), gender (p=0.928) and duration since anti-retroviral therapy initiation (p=0.788) was found. Also, a receiver operating characteristic analysis showed that the area under the curves of CD4+ lymphocyte count as a predictor for TB development in PLWHA was 0.717 (p<0.001). Conclusion: There are still clinical challenges to predict TB diagnosis. However, CD4+ lymphocyte count and viral load may be considered as valuable predictors for TB development. Also, community strategies to reduce harmful effect of alco- hol use should be developed. Keywords: Tuberculosis; HIV viral load; CD4 cell counts.

Aim: We aimed to determine the prognostic values of the National Early Warning Score 2 (NEWS2) and laboratory parameters during the first week of COVID-19. Materials & methods: All adult patients who were hospitalized for confirmed COVID-19 between 11 March and 11 May 2020 were retrospectively included. Results: Overall, 611 patients were included. Our results showed that NEWS2, procalcitonin, neutrophil/lymphocyte ratio and albumin at D0, D3, D5 and D7 were the best predictors for clinical deterioration defined as a composite of ICU admission during hospitalization or in-hospital death. Procalcitonin had the highest odds ratio for clinical deterioration on all days. Conclusion: This study provides a list of several laboratory parameters correlated with NEWS2 and potential predictors for clinical deterioration in patients with COVID-19.

Background: The aim was to explore a novel risk score to predict mortality in hospitalized patients with COVID-19 pneumonia. Methods: This was a retrospective, multicenter study. Results: A total of 1013 patients with COVID-19 were included. The mean age was 60.5 ± 14.4 years, and 581 (57.4%) patients were male. In-hospital death occurred in 124 (12.2%) patients. Multivariate analysis revealed peripheral capillary oxygen saturation (SpO2), albumin, D-dimer and age as independent predictors. The mortality score model was given the acronym SAD-60, representing SpO2, Albumin, D-dimer, age ≥60 years. The SAD-60 score (0.776) had the highest area under the curve compared with CURB-65 (0.753), NEWS2 (0.686) and qSOFA (0.628) scores. Conclusion: The SAD-60 score has a promising predictive capacity for mortality in hospitalized patients with COVID-19.

INTRODUCTION: Anticoagulant treatment approach in patients with COVID-19 is not well studied and not standardized. We aimed to compare the effects of standard prophylactic and pre-emptive therapeutic Low-Molecular-weight Heparin (LMWH) treatment approaches on mortality in patients with COVID-19. PATIENTS AND METHODS: This retrospective and single-centre study includes patients aged ≥ 18 years, who were diagnosed with COVID-19 and treated with LMWH during the hospital stay. Therapeutic dose of LMWH was defi ned as 1 mg/kg subcutaneously twice daily and prophylactic dose of LMWH was defi ned as 40 mg subcutaneously once daily. RESULTS: Among the 336 patients diagnosed with COVID-19 pneumonia, 115 patients, who received LMWH were included in the study. The mean age was 58.6 ± 13.3 and 58 (50.4 %) of the patients were male. Sixty-nine (60 %) of the patients were treated with prophylactic and 46 (40 %) therapeutic LMWH. In-hospital mortality was not different between patients treated therapeutic LMWH and prophylactic LMWH by the multivariate regression analysis (OR=2.187, 95% CI 0.484-9.880, p=0.309) and the propensity score modelling (OR=1.586, 95% CI 0.400-6.289, p=0.512.) CONCLUSION: Clinicians should consider the potential risks and benefi ts of standard prophylactic and pre-emptive therapeutic LMWH. Therefore, anticoagulant therapy should be individualized in patients with