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.

How Reliable is ChatGPT as a Novel Consultant in Infectious Diseases and Clinical Microbiology?

Objective: The study aimed to investigate the reliability of ChatGPT's answers to medical questions, including those sourced from patients and guide recommendations. The focus was on evaluating ChatGPT's accuracy in responding to various types of infectious disease questions. Materials and Methods: The study was conducted using 200 questions sourced from social media, experts, and guidelines related to various infectious diseases like urinary tract infection, pneumonia, HIV, various types of hepatitis, COVID-19, skin infections, and tuberculosis. The questions were arranged for clarity and consistency by excluding repetitive or unclear ones. The answers were based on guidelines from reputable sources like the Infectious Diseases Society of America (IDSA), Centers for Disease Control and Prevention (CDC), European Association for the Study of Liver Disease (EASL) and Joint United Nations Programme on HIV/AIDS (UNAIDS) AIDSinfo. According to the scoring system, completely correct answers were given 1-point, and completely incorrect ones were given 4-points. To assess reproducibility, each question was posed twice on separate computers. Repeatability was determined by the consistency of the answers' scores. Results: In the study, ChatGPT was posed with 200 questions: 107 from social media platforms and 93 from guidelines. The questions covered a range of topics: urinary tract infections (n=18 questions), pneumonia (n=22), HIV (n=39), hepatitis B and C (n=53), COVID-19 (n=11), skin and soft tissue infections (n=38), and tuberculosis (n=19). The lowest accuracy was 72% for urinary tract infections. ChatGPT answered 92% of social media platform questions correctly (scored 1-point) versus 69% of guideline questions (p=0.001; OR=5.48, 95% CI=2.29-13.11). Conclusion: Artificial intelligence is widely used in the medical field by both healthcare professionals and patients. Although ChatGPT answers questions from social media platforms quite properly, we recommend that healthcare professionals be conscientious when using it.

Independent predictors for non-alcoholic fatty liver disease in patients with treatment-naïve chronic hepatitis B.

OBJECTIVE: There are limited data on non-alcoholic fatty liver disease in chronic hepatitis B virus infection. We aimed to determine the predictors for non-alcoholic fatty liver disease in patients with treatment-naïve chronic hepatitis B virus infection. METHODS: All consecutive treatment-naïve patients with chronic hepatitis B virus infection at the Haseki Training and Research Hospital between October 1, 2021, and September 31, 2022, were retrospectively enrolled. Chronic hepatitis B virus infection is defined by positive serum hepatitis B surface antigen for 6 months or more. Patients with significant alcohol consumption, prolonged steatogenic drug use, malignancy, monogenic hereditary disorders, patients co-infected with hepatitis D virus, hepatitis C virus infection, or human immunodeficiency virus were excluded. Demographic characteristics, anthropometric determinants, laboratory findings, and virological parameters were retrospectively collected from patients' charts and electronic medical records. RESULTS: A total of 457 patients with treatment-naïve chronic hepatitis B virus infection were included in the study. The three multivariate regression models revealed that age (p<0.028), body mass index (p=0.046), diabetes mellitus (p=0.030), hemoglobin (p=0.008), platelet (p=0.012), and triglyceride (p=0.002) in Model 1; body mass index (p=0.033), diabetes mellitus (p<0.001), hemoglobin (p=0.008), platelet (p=0.004), LDL (p=0.023), and HDL (p=0.020) in Model 2; and age (p<0.001), body mass index (p=0.033), hemoglobin (p=0.004), platelet (p=0.004), and HDL (p=0.007) in Model 3 were independent predictors. CONCLUSION: Non-alcoholic fatty liver disease was observed in about one-third of patients with chronic hepatitis B virus infection and was positively associated with older age, higher body mass index, presence of comorbid conditions including diabetes mellitus, increased levels of metabolic laboratory parameters, especially serum triglyceride and LDL, and decreased HDL.

Use of high-dose steroid therapy: addition of anakinra in the treatment of severe COVID-19.

OBJECTIVE: The aim of this study was to compare the clinical effects of the addition of anakinra to high-dose steroid therapy in COVID-19 patients with macrophage activation syndrome. METHODS: This was a single-center retrospective study conducted in Ümraniye Training and Research Hospital between March 11, 2020, and April 28, 2021. Patients receiving only high-dose steroid or anakinra+steroid were enrolled. The first day of anakinra was considered as day 0. Laboratory values and oxygen requirements were followed up for 7 days. Patients were divided into two groups: 66 patients in the high-dose steroid group and 67 patients in the anakinra+steroid group. The primary outcome was 28-day mortality. RESULTS: After treatment, a significant decrease in ferritin levels was detected only in the anakinra+steroid group (p=0.001). In both groups, there were significant changes in lymphocytes, C-reactive protein, lactate dehydrogenase, and fibrinogen levels during the 7-day follow-up. Changes in oxygen status according to the World Health Organization clinical scale on day 3 and day 7 between high-dose steroid and anakinra+steroid groups were similar (p=0.976). Complications were higher in the anakinra+steroid group than in the steroid group (26% vs. 12%, p=0.03). The rates of 28-day mortality were 57% in the anakinra+steroid group and 42% in the high-dose steroid group (p=0.48). In multivariate regression, anakinra did not affect 28-day mortality (p=0.67). CONCLUSION: The addition of anakinra to steroid treatment resulted in a significant decrease in biochemical parameters. However, no significant difference was observed in the oxygen status between the groups. The addition of anakinra to steroid treatment did not decrease mortality. Clinicians should be aware of the complications of anti-inflammatory therapies.

Effect of N-acetyl cysteine, rifampicin, and ozone on biofilm formation in pan-resistant Klebsiella pneumoniae: an experimental study.

BACKGROUND: To the best of our knowledge, this is the first study to evaluate the effectiveness of specific concentrations of antibiofilm agents, such as N-acetyl cysteine (NAC), rifampicin, and ozone, for the treatment of pan-resistant Klebsiella pneumoniae (PRKp). OBJECTIVES: We evaluated the effectiveness of antibiofilm agents, such as NAC, rifampicin, and ozone, on biofilm formation in PRKp at 2, 6, 24, and 72 h. DESIGN AND SETTING: This single-center experimental study was conducted on June 15, 2017, and July 15, 2018, at Istanbul Faculty of Medicine, Istanbul University, Turkey. METHODS: Biofilm formation and the efficacy of these agents on the biofilm layer were demonstrated using colony counting and laser-screened confocal microscopy. RESULTS: NAC at a final concentration of 2 µg/mL was administered to bacteria that formed biofilms (24 h), and no significant decrease was detected in the bacterial counts of all isolates (all P > 0.05). Rifampicin with a final concentration of 0.1 µg/mL was administered to bacteria that formed biofilm (24 h), and no significant decrease was detected in bacterial count (all P > 0.05). Notably, ozonated water of even 4.78 mg/L concentration for 72 h decreased the bacterial count by ≥ 2 log10. CONCLUSION: Different approaches are needed for treating PRKp isolates. We demonstrate that PRKp isolates can be successfully treated with higher concentrations of ozone.

Independent predictors for non-alcoholic fatty liver disease in patients with treatment-naïve chronic hepatitis B

SUMMARY OBJECTIVE: There are limited data on non-alcoholic fatty liver disease in chronic hepatitis B virus infection. We aimed to determine the predictors for non-alcoholic fatty liver disease in patients with treatment-naïve chronic hepatitis B virus infection. METHODS: All consecutive treatment-naïve patients with chronic hepatitis B virus infection at the Haseki Training and Research Hospital between October 1, 2021, and September 31, 2022, were retrospectively enrolled. Chronic hepatitis B virus infection is defined by positive serum hepatitis B surface antigen for 6 months or more. Patients with significant alcohol consumption, prolonged steatogenic drug use, malignancy, monogenic hereditary disorders, patients co-infected with hepatitis D virus, hepatitis C virus infection, or human immunodeficiency virus were excluded. Demographic characteristics, anthropometric determinants, laboratory findings, and virological parameters were retrospectively collected from patients' charts and electronic medical records. RESULTS: A total of 457 patients with treatment-naïve chronic hepatitis B virus infection were included in the study. The three multivariate regression models revealed that age (p<0.028), body mass index (p=0.046), diabetes mellitus (p=0.030), hemoglobin (p=0.008), platelet (p=0.012), and triglyceride (p=0.002) in Model 1; body mass index (p=0.033), diabetes mellitus (p<0.001), hemoglobin (p=0.008), platelet (p=0.004), LDL (p=0.023), and HDL (p=0.020) in Model 2; and age (p<0.001), body mass index (p=0.033), hemoglobin (p=0.004), platelet (p=0.004), and HDL (p=0.007) in Model 3 were independent predictors. CONCLUSION: Non-alcoholic fatty liver disease was observed in about one-third of patients with chronic hepatitis B virus infection and was positively associated with older age, higher body mass index, presence of comorbid conditions including diabetes mellitus, increased levels of metabolic laboratory parameters, especially serum triglyceride and LDL, and decreased HDL.

Effect of N-acetyl cysteine, rifampicin, and ozone on biofilm formation in pan-resistant Klebsiella pneumoniae: an experimental study

ABSTRACT BACKGROUND: To the best of our knowledge, this is the first study to evaluate the effectiveness of specific concentrations of antibiofilm agents, such as N-acetyl cysteine (NAC), rifampicin, and ozone, for the treatment of pan-resistant Klebsiella pneumoniae (PRKp). OBJECTIVES: We evaluated the effectiveness of antibiofilm agents, such as NAC, rifampicin, and ozone, on biofilm formation in PRKp at 2, 6, 24, and 72 h. DESIGN AND SETTING: This single-center experimental study was conducted on June 15, 2017, and July 15, 2018, at Istanbul Faculty of Medicine, Istanbul University, Turkey. METHODS: Biofilm formation and the efficacy of these agents on the biofilm layer were demonstrated using colony counting and laser-screened confocal microscopy. RESULTS: NAC at a final concentration of 2 μg/mL was administered to bacteria that formed biofilms (24 h), and no significant decrease was detected in the bacterial counts of all isolates (all P > 0.05). Rifampicin with a final concentration of 0.1 μg/mL was administered to bacteria that formed biofilm (24 h), and no significant decrease was detected in bacterial count (all P > 0.05). Notably, ozonated water of even 4.78 mg/L concentration for 72 h decreased the bacterial count by ≥ 2 log10. CONCLUSION: Different approaches are needed for treating PRKp isolates. We demonstrate that PRKp isolates can be successfully treated with higher concentrations of ozone.

Clinical and inflammation marker features of cancer patients with COVID-19: data of Istanbul, Turkey multicenter cancer patients (2020-2022).

OBJECTIVE: We aimed to identify a rapid, accurate, and accessible biomarker in the early stages of COVID-19 that can determine the prognosis of the disease in cancer patients. METHODS: A total number of 241 patients with solid cancers who had a COVID-19 diagnosis between March 2020 and February 2022 were included in the study. Factors and ten different markers of inflammation were analyzed by year of diagnosis of COVID-19 and grouped by severity of infection. RESULTS: Hospitalization, referral to the intensive care unit (ICU), mechanical ventilation, and death were more frequent in 2020 than in 2021 and 2022 (mortality rates, respectively, were 18.8%, 3.8%, and 2.5%). Bilateral lung involvement and chronic lung disease were independent risk factors for severe disease in 2020. In 2021-2022, only bilateral lung involvement was found as an independent risk factor for severe disease. The neutrophil-to-lymphocyte platelet ratio (NLPR) with the highest area under the curve (AUC) value in 2020 had a sensitivity of 71.4% and specificity of 73.3% in detecting severe disease (cut-off > 0.0241, Area Under the Curve (AUC) = 0.842, p <.001). In 2021-2022, the sensitivity of the C-reactive protein-to-lymphocyte ratio (CRP/L) with the highest AUC value was 70.0%, and the specificity was 73.3% (cut-off > 36.7, AUC = 0.829, p = .001). CONCLUSIONS: This is the first study to investigate the distribution and characteristics of cancer patients, with a focus on the years of their COVID-19 diagnosis. Based on the data from our study, bilateral lung involvement is an independent factor for severe disease, and the CRP/L inflammation index appears to be the most reliable prognostic marker.

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.

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.

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.

Comparison of the Clinical and Laboratory Findings and Outcomes of Hospitalized COVID-19 Patients Who Were Either Fully Vaccinated with Coronavac or Not: An Analytical, Cross Sectional Study.

COVID-19 vaccines are highly protective against severe disease; however, vaccine breakthrough infections resulting in hospitalization may still occur in a small percentage of vaccinated individuals. We investigated whether the clinical and microbiological features and outcomes were different between hospitalized COVID-19 patients who were either fully vaccinated with Coronovac or not. All hospitalized COVID-19 patients who had at least one dose of Coronavac were included in the study. The oldest unvaccinated patients with comorbidities, who were hospitalized during the same period, were chosen as controls. All epidemiologic, clinical and laboratory data of the patients were recorded and compared between the fully vaccinated and unvaccinated individuals. There were 69 and 217 patients who had been either fully vaccinated with Coronavac or not, respectively. All breakthrough infections occurred in the first 3 months of vaccination. Fully vaccinated patients were older and had more comorbidities than unvaccinated patients. There were minor differences between the groups in symptoms, physical and laboratory findings, anti-spike IgG positivity rate and level, the severity of COVID-19, complications, and clinical improvement rate. The mortality rate of fully vaccinated patients was higher than the mortality rate in unvaccinated patients in univariate analysis, which was attributed to the fact that vaccinated patients were older and had more comorbidities. The severity and clinical outcomes of hospitalized patients with breakthrough COVID-19 after Coronavac vaccination were similar to those of unvaccinated patients. Our findings suggest that the immune response elicited by Coronovac could be insufficient to prevent COVID-19-related severe disease and death within 3 months of vaccination among elderly people with comorbidities.

Biofilm formation of panresistant Klebsiella pneumoniae.

Introduction: The authors aimed to investigate the biofilm-forming features of panresistant Klebsiella pneumoniae (PRKp). Material & methods: The biofilm formations were shown under light microscope and laser scanning confocal microscopy. The optical densities of the wells were measured and classified according to biofilm-forming capacities. Results: The ratio of biofilm-forming K. pneumoniae was established to be 100%. All isolates were found to form high-level biofilms in classification compared with positive and negative controls. No significant difference was detected in the biofilm-forming capacities of K. pneumoniae strains isolated from different sample types. Conclusion: No previous study associated with PRKp isolates was identified in the literature search. There is a need for different approaches characterizing the biofilm-forming features of PRKp.

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.

[A Case of Chronic Q Fever Endocarditis Mimicking Lymphoproliferative Disorders]. / Lenfoproliferatif Hastaliklarla Karisan Bir Kronik Q Atesi Endokarditi Olgusu.

Q fever is a zoonosis caused by Coxiella burnetii. In this report, a case of chronic Q fever endocarditis with pancytopenia and hypergammaglobulinemia mimicking a lymphoproliferative disease was presented. A 39-years-old male living in Çatalca and whose family is engaged in animal husbandry admitted with the complaints of weakness and fatigue. The patient had aortic valve replacement 29 years ago and had aortic valve re-replacement, and ascending aorta grafting because of endocarditis three years ago. It was revealed that the second operation of the patient was due to possible infective endocarditis, but no definitive agent could be identified. He was evaluated for massive hepatosplenomegaly, pancytopenia, hypergammaglobulinemia, presence of M-spike and elevated ß-2 microglobulin levels and was referred to our hematology clinic with a preliminary diagnosis of lymphoproliferative disease. Lymphoplasmacytic lymphoma was excluded with the result of bone marrow biopsy and he was referred to our clinic for the investigation of possible infectious etiologies. We detected hepatosplenomegaly and finger clubbing. His blood analyses were normal except for the following: leukocyte count 3800/µl, platelet count 148000/µl, gamma globulin 5.9 gr/dl, rheumatoid factor (RF) and antinuclear antibody (ANA) positivity. Chronic Q fever endocarditis was suspected and C.burnetii Phase I IgG test was found positive in 1/132071 titers. Although transesophageal echocardiography showed no lesion of endocarditis, positron emission tomography/computed tomography revealed increased fluorodeoxyglucose uptake around the prosthetic heart valve and graft. The patient was diagnosed as having Q fever endocarditis and graft infection. He refused hospitalization and was started on hydroxychloroquine and doxycycline treatment. The patient stopped taking these antibiotics by himself seven days after the diagnosis. He was admitted with a headache to another hospital and operated for an intracranial hemorrhage and died shortly after. Apart from unfamiliarity, wide range of clinical presentations of disease could also lead to delayed diagnosis. Among patients with chronic Q fever, continuous bacteremia and antigenic stimulus causes inflammatory syndrome with hepatosplenomegaly, hypergammaglobulinemia and, presence of autoantibodies which leads to misdiagnoses of rheumatologic, autoimmune or hematologic diseases Chronic Q fever should be investigated in patients with known valvulopathy and chronic hepatomegaly or splenomegaly, pancytopenia, hypergammaglobulinemia, and unexplained autoantibody positivity.

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.