Predictors of Significant Histological Hepatic Abnormality in Treatment-Naive Patients Infected with HBeAg-Negative Chronic Hepatitis B.

Objective: This study aimed to determine the predictors for significant hepatic abnormality (SHA), a treatment indication, by assessing demographic, laboratory, and radiological results of chronic hepatitis B (CHB) patients who underwent liver biopsy. Materials and Methods: In this retrospective study, individuals with untreated hepatitis B e-antigen (HBeAg)-negative CHB infection were enrolled. Multivariate analysis modeling was conducted with parameters identified as predictors for SHA in univariate analysis. Optimal threshold levels for variables to predict SHA in patients with chronic hepatitis B were determined based on receiver operating characteristic (ROC) curve analysis. Results: A total of 566 patients with untreated chronic hepatitis B were included in the cohort; 61% (345/566) were male, and the median age was 41 years (interquartile range [IQR]=34-50). Notably, 36.9% (209/566) had SHA. In the multivariate analysis, utilizing different models, age, gender, HBV-DNA, LDL, ALT, and platelet count were identified as the most reliable predictors for SHA in CHB patients. For predicting SHA, the area under the ROC curve values of HBV-DNA, AST, and ALT were 0.704 (sensitivity=62.8%, specificity=76.2%; p<0.0001), 0.747 (sensitivity=51.9%, specificity=88.9%; p<0.0001), and 0.737 (sensitivity=68.6%, specificity=68.4%; p<0.0001), respectively. Conclusion: In our study, age, male gender, ALT, AST, HBV-DNA, LDL cholesterol, platelet count, and FIB-4 score were independent predictors of SHA in HBeAg-negative chronic hepatitis B. The most sensitive parameters for SHA were LDL and ALT. The most specific parameters were age, AST, and APRI score. SHA may occur in patients with high HBV-DNA levels, even if ALT values are normal in HBeAg-negative patients.

Rapid determination of colistin resistance in Klebsiella pneumoniae by MALDI-TOF peak based machine learning algorithm with MATLAB.

INTRODUCTION: To date, limited data exist on demonstrating the usefulness of machine learning (ML) algorithms applied to MALDI-TOF in determining colistin resistance among Klebsiella pneumoniae. We aimed to detect colistin resistance in K. pneumoniae using MATLAB on MALDI-TOF database. MATERIALS AND METHODS: A total of 260 K. pneumoniae isolates were collected. Three ML models, namely, linear discriminant analysis (LDA), support vector machine, and Ensemble were used as ML algorithms and applied to training data set. RESULTS: The accuracies for the training phase with 200 isolates were found to be 99.3%, 93.1%, and 88.3% for LDA, support vector machine, and Ensemble models, respectively. Accuracy, sensitivity, specificity, and precision values for LDA in the application test set with 60 K. pneumoniae isolates were 81.6%, 66.7%, 91.7%, and 84.2%, respectively. CONCLUSION: This study provides a rapid and accurate MALDI-TOF MS screening assay for clinical practice in identifying colistin resistance in K. pneumoniae.

Multidrug resistance in pathogens of community-acquired urinary tract infections in Turkey: a multicentre prospective observational study

BACKGROUND: To have country-wide information about multidrug resistance (MDR) in isolates from community-acquired urinary tract infections (CAUTI) of Turkey, in terms of resistance rates and useful options. METHODS: We used a geocode standard, nomenclature of territorial units for statistics (NUTS), and a total of 1588 community-acquired isolates of 20 centres from 12 different NUTS regions between March 2019 and March 2020 were analysed. RESULTS: Of the 1588 culture growths, 1269 (79. 9%) were Escherichia coli and 152 (9.6%) were Klebsiella spp. Male sex, advancedage, and having two or more risk factors showed a statistically significant relation with MDR existence (p < 0.001, p: 0.014, p < 0.001, respectively) that increasing number of risk factors or degree of advancing in age directly affects the number of antibiotic groups detected to have resistance by pathogens. In total, MDR isolates corresponded to 36.1% of our CAUTI samples; MDR existence was 35.7% in E. coli isolates and 57.2% in Klebsiella spp. isolates. Our results did not show an association between resistance or MDR occurrence rates and NUTS regions. DISCUSSION: The necessity of urine culture in outpatient clinics should be taken into consideration, at least after evaluating risk factorsfor antibacterial resistance individually. Community-acquired UTIs should be followed up time- and region-dependently. Antibiotic stewardship programmes should be more widely and effectively administrated.

Clinicopathological profile of peritoneal tuberculosis and a new scoring model for predicting mortality: an international ID-IRI study.

Existing literature about peritoneal tuberculosis (TBP) is relatively insufficient. The majority of reports are from a single center and do not assess predictive factors for mortality. In this international study, we investigated the clinicopathological characteristics of a large series of patients with TBP and determined the key features associated with mortality. TBP patients detected between 2010 and 2022 in 38 medical centers in 13 countries were included in this retrospective cohort. Participating physicians filled out an online questionnaire to report study data. In this study, 208 patients with TBP were included. Mean age of TBP cases was 41.4 ± 17.5 years. One hundred six patients (50.9%) were females. Nineteen patients (9.1%) had HIV infection, 45 (21.6%) had diabetes mellitus, 30 (14.4%) had chronic renal failure, 12 (5.7%) had cirrhosis, 7 (3.3%) had malignancy, and 21 (10.1%) had a history of immunosuppressive medication use. A total of 34 (16.3%) patients died and death was attributable to TBP in all cases. A pioneer mortality predicting model was established and HIV positivity, cirrhosis, abdominal pain, weakness, nausea and vomiting, ascites, isolation of Mycobacterium tuberculosis in peritoneal biopsy samples, TB relapse, advanced age, high serum creatinine and ALT levels, and decreased duration of isoniazid use were significantly related with mortality (p < 0.05). This is the first international study on TBP and is the largest case series to date. We suggest that using the mortality predicting model will allow early identification of high-risk patients likely to die of TBP.

Real-life evaluation of incidence and clinical outcomes of COVID-19 among healthcare workers during pre-vaccination and post-vaccination periods: A cross-sectional impact study.

INTRODUCTION: We aimed to evaluate the prevalence and clinical outcomes of COVID-19 in healthcare workers (HCWs) in the pre-vaccination and post-vaccination periods. In addition, we determined factors associated with the development of COVID-19 after vaccination. METHODOLOGY: In this analytical cross-sectional epidemiological study, HCWs who were vaccinated between January 14, 2021, and March 21, 2021, were included. HCWs were followed up for 105 days after the 2 doses of CoronaVac. Pre-vaccination and post-vaccination periods were compared. RESULTS: A total of 1,000 HCWs were included, 576 patients (57.6%) were male, and the mean age was 33.2 ± 9.6 years. In the last 3 months during the pre-vaccination period, 187 patients had COVID-19, and the cumulative incidence of COVID-19 was 18.7%. Six of these patients were hospitalized. Severe disease was observed in three patients. In the first 3 months post-vaccination period, COVID-19 was detected in 50 patients, and the cumulative incidence of the disease was determined to be 6.1%. Hospitalization and severe disease were not detected. Age (p = 0.29), sex (OR = 1.5, p = 0.16), smoking (OR = 1.29, p = 0.43), and underlying diseases (OR = 1.6, p = 0.26) were not associated with post-vaccination COVID-19. A history of COVID-19 significantly reduced the likelihood of the development of post-vaccination COVID-19 in multivariate analysis (p = 0.002, OR = 0.16, 95% CI = 0.05-0.51). CONCLUSIONS: CoronaVac significantly reduces the risk of SARS-CoV-2 infection and alleviates the severity of COVID-19 in the early period. Additionally, HCWs who have been infected and vaccinated with CoronaVac are less likely to be reinfected with COVID-19.

Long-term effects of COVID-19 on lungs and the clinical relevance: a 6-month prospective cohort study.

Background: We aimed to explore the prevalence of prolonged symptoms, pulmonary impairments and residual disease on chest tomography (CT) in COVID-19 patients at 6 months after acute illness. Methods: In this prospective, single-center study, hospitalized patients with radiologically and laboratory-confirmed COVID-19 were included. Results: A high proportion of the 116 patients reported persistent symptoms (n = 54; 46.6%). On follow-up CT, 33 patients (28.4%) demonstrated residual disease. Multivariate analyses revealed that only neutrophil-to-lymphocyte ratio was an independent predictor for residual disease. Conclusion: Hospitalized patients with mild/moderate COVID-19 still had persistent symptoms and were prone to develop long-term pulmonary sequelae on chest CT. However, it did not have a significant effect on long-term pulmonary functions.

Epidemiological and Clinical Profile of Newly Diagnosed HIV/AIDS Patients: A Retrospective Analysis of Changing Trends Over 16 Years.

OBJECTIVE: To evaluate the epidemiological profile and clinical findings of newly diagnosed HIV-infected patients in terms of changing trends over 16 years. METHODS: A total of 748 patients (mean ± SD age: 34 ± 11.6 years, 88.9% were males) newly diagnosed with HIV/AIDS at a tertiary care hospital located in Istanbul province between 2002 and 2017 were included in this retrospective study. Data on sociodemographic characteristics, potential routes of transmission, the reason for HIV testing, time from diagnosis to treatment onset, and the HIV RNA values and CD4+ T cell count (at diagnosis and treatment onset) were recorded in each patient and compared between the diagnoses made within the 2002-2009 (n = 141) vs. 2010-2017 (n = 607) periods. RESULTS: When compared to HIV diagnoses within the 2002-2009 period, the diagnoses made within the 2010-2017 period were associated with a significantly higher percentage of males (78.7 vs. 91.3%, p < 0.001), 18-29 years age group (23.6% vs. 35.5%, p = 0.029), singles (34.0 vs. 49.6%, p = 0.004), university graduates (9.9 vs. 23.4%, p < 0.001) and students (0.7 vs. 8.2%, p < 0.001) along with an increased likelihood of voluntary testing (6.4 vs. 15.2%, p = 0.048) and a lower percentage of heterosexual individuals (63.8 vs. 47.0%, p < 0.001). Sexual contact (88.0%) was the leading transmission route, and the presence of complaints (44.3%) was the leading reason for HIV testing. Overall, the time from diagnosis to treatment onset was a median 1 month (range, 1 to 97 months), and the median HIV RNA level at the time of diagnosis was 208065 copies/mL with no significant difference between study periods. The diagnoses within the 2010-2017 vs. 2002-2009 period were associated with significantly higher median (min-max) CD4+ T cell counts (378(0-2522) vs. 319(4-1270) cells/mm3, p < 0.001) and a lower percentage of patients with CD4+ T cell count < 200 cells/mm3 (22.1 vs. 39.0%, p = 0.002) at the time of diagnosis. CONCLUSION: In conclusion, our findings on the epidemiological profile and clinical characteristics of newly diagnosed HIV patients over 16 years (2002-2017) in a tertiary care center in Turkey revealed a considerable increase in the number of new diagnoses, an improved earlier diagnosis and a change in epidemiologic profile over the years with increased likelihood of disease to be more commonly diagnosed among males, 18-29 years age group and MSM.

Water-borne oculoglandular tularemia: Two complicated cases and a review of the literature.

BACKGROUND: In this study, we presented two cases of late diagnosed complicated oculoglandular tularemia and reviewed the clinical features of oculoglandular tularemia in cases reported in the last ten years. METHOD: Tularemia was diagnosed when serum microagglutination test (MAT) was ≥ 1/160 titer or when there was at least a four-fold increase in MAT titers measured over a two-week interval. We searched the oculoglandular tularemia cases reported in the last 10 years in the PubMed and Google Academic engines. RESULTS: Case 1 (19 M) and case 2 (15 M) had complaints of fever and burning in the eye. In both cases, the diagnosis of tularemia was delayed. Lymph node suppuration developed in both cases. A total of 19 cases of tularemia were found within the search. In the cases of oculoglandular tularemia reported in the last 10 years, submandibular and preauricular lymphadenopathy were most common after ocular findings and fever. The mean time to diagnosis was 41 ± 94 days, and the complication rate was 31.5%. CONCLUSION: Tularemia should definitely be considered in cases of fever and ocular findings, especially in endemic areas. In non-endemic areas, a good anamnesis and clinical suspicion can help diagnose the disease early and reduce the complication rate.

Long-term follow-up of treatment-naïve HBeAg-negative patients with chronic hepatitis B.

BACKGROUND/AIMS: We aimed to explore long-term results of oral antiviral agents in treatment-naïve "HBeAg negative chronic hepatitis B (CHB)" and determine the factors affecting the complete virological response. METHOD: Patients with HBeAg-negative CHB who used oral antiviral agents for at least 3 years were evaluated retrospectively. RESULTS: A total of 173 patients were recorded. The mean duration of treatment was 62.2 ± 28.9 months. Complete virological responses (CVR) were 82.8% (n = 53/64) in tenofovir disoproxil fumarate (TDF), 84.4% (n = 49/58) in lamivudine (LAM), 83.9% (n = 26/31) in entecavir (ETV), 95% in telbivudine (LdT) (n = 19/20) (p = 0.290). Multivariate analysis revealed age ≤ 40 (p = 0.012, 95%CI = 1.38-13.76, OR = 4.36) and baseline HBV DNA value (p = 0.003, 95%CI = 1.23-2.63, OR = 1.78) as independent factors for CVR. Virological breakthrough was detected in 29 (50%) patients on LAM therapy, two (6.4%) patients on ETV therapy, and two (10%) patients on LdT therapy. Treatment was switched to another antiviral agent due to osteoporosis in four patients in the TDF group, muscle pain in nine patients in the LDT group, and headache in one patient in the ETV group. Hepatocelluler cancer was detected in five patients. HBsAg seroclearance developed in two patients. Anti-HBs seroconversion was not detected. CONCLUSION: CVR was achieved at similar rates with all four antiviral agents, while younger age (≤ 40) and low baseline viral load were the main factors for virological response. However, drug resistance and virological breakthrough in the LAM group and side effects in the LdT group were detected during the long-term follow-up. Moreover, HBsAg seroclearance was achieved at very low rates with oral antiviral agents.

The Effects of Antimicrobial Resistance and the Compatibility of Initial Antibiotic Treatment on Clinical Outcomes in Patients With Diabetic Foot Infection.

We aimed to determine pathogen microorganisms, their antimicrobial resistance patterns, and the effect of initial treatment on clinical outcomes in patients with diabetic foot infection (DFI). Patients with DFI from 5 centers were included in this multicenter observational prospective study between June 2018 and June 2019. Multivariate analysis was performed for the predictors of reinfection/death and major amputation. A total of 284 patients were recorded. Of whom, 193 (68%) were male and the median age was 59.9 ± 11.3 years. One hundred nineteen (41.9%) patients had amputations, as the minor (n = 83, 29.2%) or major (n = 36, 12.7%). The mortality rate was 1.7% with 4 deaths. A total of 247 microorganisms were isolated from 200 patients. The most common microorganisms were Staphylococcus aureus (n = 36, 14.6%) and Escherichia coli (n = 32, 13.0%). Methicillin resistance rates were 19.4% and 69.6% in S aureus and coagulase-negative Staphylococcus spp., respectively. Multidrug-resistant Pseudomonas aeruginosa was detected in 4 of 22 (18.2%) isolates. Extended-spectrum beta-lactamase-producing Gram-negative bacteria were detected in 20 (38.5%) isolates of E coli (14 of 32) and Klebsiella spp. (6 of 20). When the initial treatment was inappropriate, Klebsiella spp. related reinfection within 1 to 3 months was observed more frequently. Polymicrobial infection (p = .043) and vancomycin treatment (p = .007) were independent predictors of reinfection/death. Multivariate analysis revealed vascular insufficiency (p = .004), hospital readmission (p = .009), C-reactive protein > 130 mg/dL (p = .007), and receiving carbapenems (p = .005) as independent predictors of major amputation. Our results justify the importance of using appropriate narrow-spectrum empirical antimicrobials because higher rates of reinfection and major amputation were found even in the use of broad-spectrum antimicrobials.

The Role of APRI, FIB-4, and SAD-60 Scores as Predictors of Mortality in COVID-19 Patients.

Objective: Predictors of mortality that indicate disease severity plays an important role in COVID-19 management and treatment decisions. This study aimed to investigate the association between fibrosis-4 (FIB-4) score, aspartate aminotransferase-to-platelet ratio index (APRI), and novel biomarker-based score (SAD-60) with mortality in COVID-19 patients treated in a tertiary hospital. Materials and Methods: In this single-center retrospective study, patients ≥18 years of age who were admitted to our hospital for COVID-19 between December 1 and 31, 2021, were included. Patients were divided into two groups as deceased and survived. A comparative analysis was applied. Predictive abilities of the FIB-4, APRI, and SAD-60 scores for in-hospital mortality were evaluated. Results: Of the 453 patients enrolled in the study, 248 (54.6%) were male, and the mean age was 52.2±14.7 years. Mortality was recorded in 39 (8.5%) of the patients. The median values of APRI (0.43 and 0.58; p=0.001), FIB-4 score (1.66 and 2.91; p<0.001), and SAD-60 (2 and 8.25; p<0.001) were higher in deceased patients than in survivors. The optimal cut-off value for predicting mortality in the receiver operating characteristic (ROC) curve analysis was 0.58 for APRI (sensitivity=56.4%, specificity=63.6%); 2.14 for FIB-4 score (sensitivity=79.5%, specificity=68.2%); 4.25 for SAD-60 (sensitivity=90%, specificity=73.8%). In Cox regression analysis with a model that included gender, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD), FIB-4 (hazard ratio [HR]=4.013, 95% confidence interval [CI]=1.643-9.803; p=0.002), and SAD-60 (HR=8.850, 95% CI=1.035-75.696; p=0.046) were independent risk factors for mortality. Conclusion: SAD-60 and FIB-4 scores are easily applicable and may be used to predict mortality in COVID-19 patients.

Blood types (ABO/Rhesus) and SARS-CoV-2 infection: a retrospective, cross-sectional study in 2828 healthcare workers.

Background: The authors aimed to investigate the relationship between ABO/Rhesus blood types and the risk of SARS-CoV-2 infection and hospitalization in healthcare workers (HCWs). Materials & methods: This study compared HCWs with (n = 510) and without (n = 2318) SARS-CoV-2 infection. Risk factors for SARS-CoV-2 infection and hospitalization in HCWs were shown as odds ratios with 95% CI. Results: Blood group O was found to be protective by 20% from the risk of developing SARS-CoV-2 infection in HCWs (29.2 vs 33.8%; odds ratio: 0.808; 95% CI: 0.655-0.996; p = 0.045). The prevalence of group O was lower in hospitalized patients than in outpatients (25 vs 29.5%; p = 0.614). Conclusion: These findings suggest that blood groups are associated with the development of SARS-CoV-2 infection.

Changing Bacterial Etiology and Antimicrobial Resistance Profiles as Prognostic Determinants of Diabetic Foot Infections: A Ten-Year Retrospective Cohort Study.

Background: In this single-center study, we analyzed a retrospective cohort of patients with diabetic foot infections (DFIs) between 2011 and 2020. Patients and Methods: The first and second five-year periods were compared. A poor prognosis was defined as a primary composite end point including re-infection, major amputation, or mortality at six months. Results: A total of 484 patients were enrolled. Overall, 269 patients had the primary composite end point. A substantial decrease was detected in the second five-year period in terms of re-infection (n = 132, 66.0% vs. n = 68, 23.9%; p < 0.001) and mortality (n = 22, 11.0% vs. n = 7, 2.5%; p < 0.001). A total of 798 micro-organisms were isolated from 484 patients. A substantial increase was detected in polymicrobial infections (48.5% vs. 65.1%; p = 0.001) as well as Streptococcus spp. (2.5% vs. 9.2%; p = 0.003), Corynebacterium spp. (9.5% vs. 22.9%; p < 0.001), and extended-spectrum ß-lactamase (ESBL) producing Escherichia coli (3.0% vs. 12.7%; p < 0.001) in the second five-year period, whereas the prevalence of multi-drug-resistanct (MDR) Pseudomonas aeruginosa (17.0% vs. 10.2%; p = 0.029) and carbapenem-resistant Acinetobacter baumannii (7.5% vs. 2.8%; p = 0.017) decreased. Multivariable regression analysis revealed that MDR Pseudomonas aeruginosa (odds ratio [OR], 1.917; 95% confidence interval [CI], 1.074-3.420; p = 0.028) and carbapenem-resistant Acinetobacter baumannii (OR, 3.069; 95% CI, 1.114-8.453; p = 0.030) were independent predictors for poor prognosis. Conclusions: This 10-year cohort study provides reassuring information about the changing epidemiology of DFIs and the prognostic determinants in patients with DFIs.

Effectiveness of CoronaVac vaccination against COVID-19 development in healthcare workers: real-life data.

Background: This study was designed to investigate the effectiveness of CoronaVac in preventing COVID-19 in healthcare workers (HCWs) during the Alpha variant-dominant period. Materials & methods: Follow-up was initiated 14 days after the second dose for double-dose vaccinated HCWs and on 25 February 2021, for the unvaccinated group. The incidence rate ratio was calculated to estimate the unadjusted effectiveness. Cox regression was used to adjust the effectiveness of CoronaVac. Results & Conclusion: The adjusted effectiveness of CoronaVac against COVID-19 was 65% (95% CI: 50-75%). Compared with the results of the phase III trial conducted in Turkey, a lower effectiveness of CoronaVac against COVID-19 was detected in this real-life study. This finding suggests that mass vaccination and booster doses are needed.

This study was designed to investigate the effectiveness of CoronaVac in preventing COVID-19 in healthcare workers (HCWs) during the alpha variant-dominant period. A total of 1911 HCWs were included. While COVID-19 developed in 4.1% of double-dose vaccinated HCWs and 11.27% of unvaccinated HCWs, the effectiveness of CoronaVac in preventing the development of COVID-19 was 65%. Compared with the results of a previous trial in Turkey, a lower effectiveness of CoronaVac against COVID-19 was detected in this real-life study. This finding suggests that mass vaccination and booster doses are needed.

Novel biomarker-based score (SAD-60) for predicting mortality in patients with COVID-19 pneumonia: a multicenter retrospective cohort of 1013 patients.

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.

Comparison of clinical, laboratory and radiological features in confirmed and unconfirmed COVID-19 patients.

Background: We aimed to compare the clinical, laboratory and radiological findings of confirmed COVID-19 and unconfirmed patients. Methods: This was a single-center, retrospective study. Results: Overall, 620 patients (338 confirmed COVID-19 and 282 unconfirmed) were included. Confirmed COVID-19 patients had higher percentages of close contact with a confirmed or probable case. In univariate analysis, the presence of myalgia and dyspnea, decreased leukocyte, neutrophil and platelet counts were best predictors for SARS-CoV-2 RT-PCR positivity. Multivariate analyses revealed that only platelet count was an independent predictor for SARS-CoV-2 RT-PCR positivity. Conclusion: Routine complete blood count may be helpful for distinguishing COVID-19 from other respiratory illnesses at an early stage, while PCR testing is unique for the diagnosis of COVID-19.

National Early Warning Score 2 and laboratory predictors correlate with clinical deterioration in hospitalized patients with COVID-19.

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.

Lay abstract The COVID-19 pandemic is a grueling problem worldwide. There is a lack of knowledge about the predictive value of National Early Warning Score 2 (NEWS2) for severe COVID-19 illness. We analyzed the prognostic value of NEWS2 and laboratory parameters during the clinical course of COVID-19. This study provides a list of several laboratory parameters correlated with NEWS2 and potential predictors for intensive care unit admission during hospitalization or in-hospital death.

Predictors of Intensive Care Unit Admission or Mortality in Patients with Coronavirus Disease 2019 Pneumonia in Istanbul, Turkey.

We aimed to determine the predictors of intensive care unit (ICU) admission or death in patients with coronavirus disease 2019 (COVID-19) pneumonia. This retrospective, single-center study included patients aged ≥18 years who were diagnosed with COVID-19 pneumonia (laboratory and radiologically confirmed) between March 9 and April 8, 2020. The composite endpoint was ICU admission or in-hospital mortality. Univariate and multivariate logistic regression analyses were performed to evaluate the factors associated with the composite endpoint. A total of 336 patients with COVID-19 pneumonia were evaluated. The median age was 54 years (interquartile range: 21), and 187 (55.7%) were men. Fifty-one (15.2%) patients were admitted to the ICU. In-hospital mortality occurred in 33 patients (9.8%). In the univariate analysis, 17 parameters were associated with the composite endpoint, and procalcitonin had the highest odds ratio (odds ratio [OR] = 36.568, confidence interval [CI] = 5.145-259.915). Our results revealed that body temperature (OR = 1.489, CI = 1.023-2.167, P = 0.037), peripheral capillary oxygen saturation (SpO2) (OR = 0.835, CI = 0.773-0.901, P < 0.001), and consolidation (> 25%) on chest computed tomography (OR = 3.170, CI = 1.218-8.252, P = 0.018) at admission were independent predictors. As a result, increased body temperature, decreased SpO2, a high level of procalcitonin, and degree of consolidation on chest computed tomography may predict a poor prognosis and have utility in the management of patients.

Predictors of Long-term Outcomes in the Older Adults with Community-Acquired Pneumonia.

INTRODUCTION: We aimed to determine the indicators for poor long-term outcome in older adults with community-acquired pneumonia (CAP). METHODOLOGY: Patients with CAP requiring hospitalization were included in this retrospective study. The long-term mortality was defined as all-cause 1-year mortality following hospital admission. RESULTS: A total of 145 patients with CAP were recorded. The median age was 70 (18-103), of whom 94 (65%) were ≥ 65 years old and 86 (59.5%) were male. Long-term mortality rates following CAP requiring hospitalization were substantially high in both the younger (n = 16, 31.4%) and older adults (n=43, 45.7%). In univariate analysis, the Pneumonia Severity Index (PSI) (p = 0.007), mechanical ventilation (p > 0.001), mental status changes (p = 0.018) as well as the modified Charlson Comorbidity Index (p=0.001), presence of malignancy (p < 0.001) and hospital readmission (p < 0.001) were associated with long-term mortality in the older group. Our results revealed that the need for mechanical ventilation (OR = 47.61 CI = 5.38-500.0, p = 0.001) and hospital readmission (OR = 15.87 CI = 5.26-47.61, p < 0.001) were major independent predictors of 1-year mortality. CONCLUSIONS: Clinicians should consider the lethal possibilities of CAP even after hospital discharge. The need for mechanical ventilation and hospital readmission may predict long-term mortality. Therefore, the patients who have these predictors should be closely monitored.

Predictors for tuberculosis co-infection in people living with HIV/AIDs.

BACKGROUND/AIM: Tuberculosis (TB) is one of the most common chronic infectious conditions causing mortality and severe 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 alcohol use should be developed.