Investigation of polypharmacy, antimicrobial-related potential drug-drug interactions in patients with hematological malignancies.

PURPOSE: Drug-drug interactions (DDIs) occur when one drug interferes with the pharmacological activity of another and can lead to increased side effects. The purpose of this study was to examine potential interactions between antimicrobials and other drugs in patients with hematological malignancies (HMs). METHOD: The medications used by 233 patients with HMs before and during hospitalization in Ankara City Hospital Hematology Clinic services between January 2021 and July 2021 were examined. Potential DDIs (pDDIs) were identified through UptoDate, Drugs.com, and MedScape databases. The effects of major antimicrobial-related pDDIs on patients were examined. Agreement between the two interaction systems was judged based on the kappa test. SPSS R Version 4.0.2 was used in the statistical analysis of the data, p<.05 was considered significant. RESULTS: The prevalence of polypharmacy before hospitalization was determined as 22.7%. Diagnosed with acute leukemia and multiple myeloma, more antimicrobial-related pDDIs were detected during hospitalization (p<.001). A total of 758 antimicrobial-related pDDIs, which were in the major category in at least one of the three databases, were detected in 72.5% (169/233) of the participants. It was determined that the total hospitalization period of patients with major antimicrobial-related pDDIs was longer (p<.001). There was negligible agreement between UptoDate and Dugs.com and between Drugs.com and MedScape (kappa: 0.008 for both). There was no compatibility between UptoDate and MedScape (kappa<0). CONCLUSION: Interactions between antimicrobials and other drugs are undesirable problems. Further studies are required to evaluate the clinical and economic effects of the interactions on patients with HMs.

Classical fever of unknown origin in 21 countries with different economic development: an international ID-IRI study.

Fever of unknown origin (FUO) is a serious challenge for physicians. The aim of the present study was to consider epidemiology and dynamics of FUO in countries with different economic development. The data of FUO patients hospitalized/followed between 1st July 2016 and 1st July 2021 were collected retrospectively and submitted from referral centers in 21 countries through ID-IRI clinical research platform. The countries were categorized into developing (low-income (LI) and lower middle-income (LMI) economies) and developed countries (upper middle-income (UMI) and high-income (HI) economies). This research included 788 patients. FUO diagnoses were as follows: infections (51.6%; n = 407), neoplasms (11.4%, n = 90), collagen vascular disorders (9.3%, n = 73), undiagnosed (20.1%, n = 158), miscellaneous diseases (7.7%, n = 60). The most common infections were tuberculosis (n = 45, 5.7%), brucellosis (n = 39, 4.9%), rickettsiosis (n = 23, 2.9%), HIV infection (n = 20, 2.5%), and typhoid fever (n = 13, 1.6%). Cardiovascular infections (n = 56, 7.1%) were the most common infectious syndromes. Only collagen vascular disorders were reported significantly more from developed countries (RR = 2.00, 95% CI: 1.19-3.38). FUO had similar characteristics in LI/LMI and UMI/HI countries including the portion of undiagnosed cases (OR, 95% CI; 0.87 (0.65-1.15)), death attributed to FUO (RR = 0.87, 95% CI: 0.65-1.15, p-value = 0.3355), and the mean duration until diagnosis (p = 0.9663). Various aspects of FUO cannot be determined by the economic development solely. Other development indices can be considered in future analyses. Physicians in different countries should be equally prepared for FUO patients.

Development and validation of COVID-19 associated candidemia score (CAC-Score) in ICU patients.

BACKGROUND: The development of candidemia is a highly fatal condition in severe COVID-19 infection. OBJECTIVES: This study aimed to develop a candidemia prediction score in COVID-19 patient based on the patient's clinical characteristics, and healthcare-related factors during intensive care units (ICU) follow-up. PATIENTS/METHODS: Severe COVID-19 patients hospitalised in ICU in Ankara City Hospital during the one-year period (August 15, 2020, and August 15, 2021) were included. After univariate analysis, multivariate analysis was applied using variable selection approach to investigate the effects of variables together and to create a score model for candidemia. Statistically significant factors were included in the development process of candida prediction score. RESULTS: Of 1305 COVID-19 ICU patients, 139 had a candidemia episode. According to the final model, four variables, presence of central venous catheter (CVC) (OR 19.07, CI 8.12-44.8, p < .0001), multifocal colonisation (OR 2.28, CI 1.39-3.72, p 0.001), length of ICU stays ≥14 days (OR 3.62, CI 2.42-5.44, p < .0001) and corticosteroids (OR 0.51, CI 0.34-0.76, p 0.0011) were the only statistically significant independent risk factors for candidemia. Score model was demonstrated by a nomogram, and the risk for candidemia was calculated to be high in patients who scored ≥56 points by using the criteria [CVC = 51, multifocal colonisation = 14, prolonged hospitalisation = 23, no steroid use = 12 points]. The AUC of the score is 0.84 (CI 0.81-0.87). CONCLUSION: We developed and validated an easy-to-use clinical prediction score for candidemia in severe COVID-19 infection. In COVID-19 ICU patients, the risk of candidemia is high if one of the other risk factors is present together with CVC.

Impact of Inflammation-Related Genes on COVID-19: Prospective Study at Turkish Cohort.

The pandemic coronavirus disease 2019 (COVID-19) has caused a high mortality rate and poses a significant threat to the population. The disease may progress with mild symptoms or may cause the need for intensive care, depending on many factors. In this study, it was aimed to determine if there is a tendency due to genetic factors in COVID-19 patients. Ninety-four of 188 patients with mild clinical and 94 with severe clinical symptoms were included in the study. The targeted panel including coagulopathy (F2, F5), viral invasion (ACE2), and inflammation (CXCL8, IFNAR2, IFNL4, IL10, IL2, IL6, IRF7, TLR3, TLR7, TNF) related genes was performed sequenced by the next generation sequencing (NGS). The variants found were classified and univariate analyses were performed to select candidate variables for logistic model. Risk factors and variants were compared. It was revealed that the presence of 2 or more risk factors caused the disease to progress severely (p < 0.001). Heterozygous IRF7:c.1357-23dup variant had a 2.5 times higher risk for mild disease compared to severe disease. Other variants were found to be more significant in mild disease. Since polymorphic variants were not evaluated in the literature, the findings of our study could not be compared with the literature. However, as variants that may be effective in the severity of infections may differ according to ethnicity. This study has the feature of being a guide for subsequent studies to be carried out especially in Turkish population. Clinical course of the COVID-19 is likely to depend on a variety of risk factors, including age, sex, clinical status, immunology and genetic factors.

Pathobiological alterations affecting the distinct clinical courses of pediatric versus adult COVID-19 syndrome.

Background/aim: The clinical presentation of pediatric coronavirus disease 2019 (COVID-19) is associated with a milder disease course than the adult COVID-19 syndrome. The disease course of COVID-19 has three clinicobiological phases: initiation, propagation, and complication. This study aimed to assess the pathobiological alterations affecting the distinct clinical courses of COVID-19 in pediatric age groups versus the adult population. We hypothesized that critical biogenomic marker expressions drive the mild clinical presentations of pediatric COVID-19. Materials and methods: Blood samples were obtained from 72 patients with COVID-19 hospitalized at Ankara City Hospital between March and July 2021. Peripheral blood mononuclear cells were isolated using Ficoll-Paque and density-gradient sedimentation. The groups were compared using a t-test and limma analyses. Mean standardized gene expression levels were used to hierarchically cluster genes employing Euclidean Gene Cluster 3.0. The expression levels of identified genes were determined using reverse transcription-polymerase chain reaction. Results: This study found that ANPEP gene expression was significantly downregulated in the pediatric group (p < 0.05, FC: 1.57) and IGF2R gene expression was significantly upregulated in the adult group (p < 0.05, FC: 2.98). The study results indicated that the expression of critical biogenomic markers, such as the first-phase (ACE2 and ANPEP) and second-phase (EGFR and IGF2R) receptor genes, was crucial in the genesis of mild clinical presentations of pediatric COVID-19. ANPEP gene expression was lower in pediatric COVID-19. Conclusion: The interrelationship between the ANPEP and ACE2 genes may prevent the progression of COVID-19 from initiation to the propagating phase in pediatric patients. High IGF2R gene expression could potentially contribute to a protective effect and may be a contributing factor for the mild clinical course observed in pediatric patients.

Increasing rates of extended-spectrum B-lactamase-producing Escherichia coli and Klebsiella pneumoniae in uncomplicated and complicated acute pyelonephritis and evaluation of empirical treatments based on culture results.

Increasing rates of extended-spectrum beta-lactamase (ESBL) producing E. coli and K. pneumoniae over time made empirical treatment complicated. Knowing local antimicrobial resistance patterns of common pathogens can make it easier to decide on empirical antibiotics. We aimed to investigate the prevalence and risk factors of ESBL positivity of E. coli and K. pneumoniae strains in uncomplicated and complicated pyelonephritis acquired in community and healthcare associations and to evaluate the appropriateness of empirical treatment. Adult patients hospitalized with diagnosis of community-acquired or healthcare-associated uncomplicated/complicated pyelonephritis initiated empirical antimicrobial therapy were included in the study. Appropriateness of empirical treatment at 48-72 h based on culture results and treatment modifications were evaluated. A total of 369 uncomplicated (94) and complicated (275) episodes of pyelonephritis were evaluated. The most common agents were E. coli (71.0%) and K. pneumoniae (17.7%), and the ESBL-production rate was 64.4%, and higher in healthcare-associated pyelonephritis (P 0.013). Being of healthcare-associated infection, previous antibiotic use, and presence of urinary catheters were independent risk factors for ESBL-producing E. coli and K. pneumoniae (P 0.009, < 0.001, and 0.024, respectively). The treatment inappropriateness was mostly associated with use of ceftriaxone (56.3%) (P < 0.001). Treatment has escalated in 41.5% of ceftriaxone-initiated patients, in only 8.8% and 9.5% ertapenem and piperacillin-tazobactam-initiated patients, respectively. ESBL-production rates are quite high even in community-acquired infections. The use of broad-spectrum antibiotics covering ESBL-producing pathogens to increase the appropriateness of empirical treatment and then narrowing treatment based on culture results appears a better and life-saving choice.

Incidence and risk factors for COVID-19 associated candidemia (CAC) in ICU patients.

BACKGROUND: Critically ill COVID-19 patients have a high risk for the development of candidemia due to being exposed to both well-defined classical risk factors and COVID-19-specific risk factors in ICU. OBJECTIVES: In this study, we investigated the incidence of candidemia in critically COVID-19 patients, and the independent risk factors for candidemia. PATIENTS/METHODS: COVID-19 patients hospitalised in ICU during 1-year period (August 2020 to August 2021) were included. Clinical and laboratory characteristics of all COVID-19 patients, applied treatments, and invasive procedures that may predispose to candidemia were recorded. RESULTS: Of 1229 COVID-19 patients, 63 developed candidemia. Candidemia incidence rate was 4.4 episodes per 1000 ICU days. The most common species was Candida albicans (52.3%). Only 37 patients (58.7%) received antifungal therapy. The presence of central venous catheter (OR 4.7, 95% CI 1.8-12.2, p < .005), multifocal candida colonisation (OR 2.7, 95% CI 1.4-5.2, p < .005), a prolonged ICU stay (≥14 days) (OR 1.9, 95% CI 1.08-3-37, p < .05), the absence of chronic lung disease (OR 0.4, 95% CI 0.1-0.9, p < .05) and the absence of corticosteroid use (OR 0.3, 95% CI 0.14-0.52, p < .0001) were significantly associated with candidemia. CONCLUSIONS: Our study filled the knowledge gap in the literature about the impact of COVID-19-associated risk factors for the development of candidemia. The classical risk factors for candidemia had a significant effect on candidemia, and contrary to expectations, corticosteroids had a protective effect against the development of candidemia. The results of these studies showing interesting effects of corticosteroids in critically ill COVID-19 patients should be confirmed by further studies.

Remdesivir treatment for patients with moderate to severe COVID-19.

BACKGROUND: Remdesivir, which was first developed for the treatment of Ebola disease but failed to meet expectations, has become hope in the fight against the COVID-19 pandemic. This study aimed to evaluate risk factors for mortality and prognosis of adult moderate/severe COVID-19 patients treated with remdesivir, and safety and tolerability of 5 days of remdesivir treatment. METHODS: This multicenter prospective observational study was conducted in 14 centers in Turkey. Pregnancy or breastfeeding, multiorgan failure, or usage of vasopressors for septic shock, ALT > 5 × the upper limit of the normal range, or eGRF <30 mL/min or dialysis and receiving favipiravir were the exclusion criteria of the study. RESULTS: Among 500 patients, 494 patients were included in the study. On admission, 392 (79.3%) patients had moderate and 102 (20.6%) patients had severe COVID-19. The 28-day mortality was 10.1%. The median of the scores of the seven-category ordinal scale assessed on days 0, 3, 5, 7 were 4 and 3 on day 14. When the survival status of the patients was evaluated according to the time between the remdesivir start date and the end date of the symptoms, no statistically significant difference was found between the medians of the groups (p = 0.404). In multivariable analysis, age (OR, 1.05; 95%CI, 1.02-1.08; p = 0.003), SpO2 level on admission (OR, 3.03; 95%CI, 1.35-6.81; p = 0.007), heart rate (OR, 2.48; 95%CI, 1.01-6.07; p = 0.047), follow-up site at the hospital (clinic/ICU) (OR, 26.4; 95%CI, 11.6-60.17; p < 0.001) were independently associated with increased mortality. Grade 3 adverse event (AE) was observed in 4 (0.8%) patients. None of the patients experienced grade 4 or 5 AEs. DISCUSSION: Remdesivir is a safe and well-tolerated drug and older age, low SpO2 level on admission, tachycardia, and ICU admission are independently associated with increased mortality among patients with moderate/severe COVID-19 receiving remdesivir treatment.

Post-COVID syndrome: A single-center questionnaire study on 1007 participants recovered from COVID-19.

Post recovery manifestations have become another concern in patients who have recovered from coronavirus disease 2019 (COVID-19). Numerous reports have shown that COVID-19 has a variety of long-term effects on almost all systems including respiratory, cardiovascular, gastrointestinal, neurological, psychiatric, and dermatological systems. We aimed to investigate the prevalence and characteristics of the post-COVID syndrome among COVID-19 survivors and to determine the factors associated with persistent symptoms. This prospective study enrolled in patients with COVID-19 followed in hospital or outpatient clinics in Ankara City Hospital. We performed a special questionnaire to inquire about the presence of persistent symptoms beyond 12 weeks from the first diagnosis. Demographic data, comorbid diseases, characteristics of acute COVID-19, presence of persistent symptoms by systems, and knowledge about outpatient clinic visits after recovery were assessed. Of a total of 1007 participants, 39.0% had at least one comorbidity, and 47.5% had persistent symptoms. Fatigue/easy fatigability, myalgia, and loss of weight were the most frequent persistent symptoms (overall 29.3%) followed by respiratory symptoms (25.4%). A total of 235 participants had visited outpatient clinics due to several reasons during the post-COVID-19 period, and 17 of them were hospitalized. Severe acute COVID-19, hospitalization, and presence of comorbidity were independent factors for the development of persistent symptoms. Fully understanding the spectrum of the post-COVID syndrome is essential for appropriate management of all its long-term effects. Our study once again underlined the fact that the prevalence of post-COVID syndrome is higher than expected and concerns many systems, and a multidisciplinary follow-up should be provided to COVID-19 survivors in the post recovery period.

Higher viral loads in asymptomatic COVID-19 patients might be the invisible part of the iceberg.

PURPOSE: SARS-CoV-2 virus dynamics in different hosts and different samples and their relationship with disease severity have not been clearly revealed. The aim of this study is to evaluate the viral loads of 6 different sample types (nasopharyngeal/oropharyngeal combined, oral cavity, saliva, rectal, urine, and blood) of patients with different ages and clinics, to reveal the relationship between disease course and SARS-CoV-2 viral load, and differences in viral loads of asymptomatic and symptomatic patients. METHODS: Nasopharyngeal/oropharyngeal, oral cavity, saliva, rectal, urine, and blood samples are collected from patients who were hospitalized with diagnosis of COVID-19 on admission. Laboratory analysis were carried out at Public Health Institute of Turkey Virology Reference and Research Laboratory. RESULTS: A total of 360 samples from 60 patients were obtained on admission. Fifteen (25%) of the patients were asymptomatic while 45 (75%) were symptomatic. A significant difference was found between mean ages of asymptomatic vs symptomatic patients (26.4 and 36.4, respectively, p = 0.0248). No PCR positivity were found in blood. Only one asymptomatic patient had positive PCR result for urine sample. Viral loads of asymptomatic patients were found to be significantly higher (p = 0.0141) when compared with symptomatic patients. Viral load had a significant negative trend with increasing age. A significant decrease in viral load was observed with increasing disease severity. CONCLUSION: In conclusion, this study demonstrates that asymptomatic patients have higher SARSCoV-2 viral loads than symptomatic patients and unlike in the few study in the literature, a significant decrease in viral load of nasopharyngeal/oropharyngeal samples was observed with increasing disease severity. Factors associated with poor prognosis are found to be significantly correlated with low viral load.

Development and validation of nomogram to predict severe illness requiring intensive care follow up in hospitalized COVID-19 cases.

BACKGROUND: Early identification of severe COVID-19 patients who will need intensive care unit (ICU) follow-up and providing rapid, aggressive supportive care may reduce mortality and provide optimal use of medical resources. We aimed to develop and validate a nomogram to predict severe COVID-19 cases that would need ICU follow-up based on available and accessible patient values. METHODS: Patients hospitalized with laboratory-confirmed COVID-19 between March 15, 2020, and June 15, 2020, were enrolled in this retrospective study with 35 variables obtained upon admission considered. Univariate and multivariable logistic regression models were constructed to select potential predictive parameters using 1000 bootstrap samples. Afterward, a nomogram was developed with 5 variables selected from multivariable analysis. The nomogram model was evaluated by Area Under the Curve (AUC) and bias-corrected Harrell's C-index with 95% confidence interval, Hosmer-Lemeshow Goodness-of-fit test, and calibration curve analysis. RESULTS: Out of a total of 1022 patients, 686 cases without missing data were used to construct the nomogram. Of the 686, 104 needed ICU follow-up. The final model includes oxygen saturation, CRP, PCT, LDH, troponin as independent factors for the prediction of need for ICU admission. The model has good predictive power with an AUC of 0.93 (0.902-0.950) and a bias-corrected Harrell's C-index of 0.91 (0.899-0.947). Hosmer-Lemeshow test p-value was 0.826 and the model is well-calibrated (p = 0.1703). CONCLUSION: We developed a simple, accessible, easy-to-use nomogram with good distinctive power for severe illness requiring ICU follow-up. Clinicians can easily predict the course of COVID-19 and decide the procedure and facility of further follow-up by using clinical and laboratory values of patients available upon admission.

Characteristics of candidemia in COVID-19 patients; increased incidence, earlier occurrence and higher mortality rates compared to non-COVID-19 patients.

Severe COVID-19 patients in ICU are at high risk for candidemia due to exposure to multiple risk factors for candidemia. We aimed to compare the incidence of candidemia in ICU patients with and without COVID-19, and to investigate epidemiologic and clinical characteristics of candidemia patients and risk factors for mortality in candidemia patients. This retrospective study was conducted in patients followed in the ICUs of Ankara City Hospital for 2 years, divided into pre-pandemic and pandemic periods. The incidence (event per 1000 patient-days) and epidemiology of candidemia, clinical and laboratory characteristics of patients were compared in COVID-19 and non-COVID-19 groups. Candidemia incidence was higher in the COVID-19 group (2.16, 95% CI 1.77-2.60) than the non-COVID-19 group (1.06, 95% CI 0.89-0.125) (p < .001). A total of 236 candidemia episodes (105 in COVID-19 patients and 131 in non-COVID-19 patients) were detected during the study periods. COVID-19 cases had a higher rate of corticosteroid use (63.8% vs. 9.9%, p < .001). Epidemiology of candidemia and antifungal susceptibility were similar. Candidemia developed 2 weeks earlier in COVID-19 groups and resulted in higher mortality (92.5% vs. 79.4%, p .005). One-third of candidemia patients died before receiving any antifungal treatment, and this rate was higher in the COVID-19 group. In multivariate logistic regression analysis, corticosteroid use, presence of sepsis and age older than 65 years were independent risk factors for mortality in candidemia patients. Candidemia with high mortality is a more serious problem for COVID-19 patients due to its increased incidence, earlier occurrence and a higher rate of mortality.

The Effect of prolonged PCR Positivity on patient Outcomes and Determination of Isolation period in COVID-19 patients.

AIMS: The impact of ongoing PCR positivity on COVID-19 patients and the strategy and period of isolation were not fully understood. We aimed to investigate the factors that cause prolonged PCR positivity and its clinical impact on COVID-19 infection. In addition, we searched for an answer on what length of time would be best for isolation. METHODS: Patients with confirmed COVID-19 infection were included in this retrospective study. Patients with PCR positivity (after symptom onset) longer than 14 days and PCR positivity less than 14 days were compared. The relationship between duration of symptoms and PCR negation time was examined. RESULTS: A total of 339 patients were included in this study. Fifty (14%) patients had prolonged PCR positivity after 14 days. Demographic and clinical features, and clinical outcomes (disease severity and mortality) were similar among the two groups. Age (p 0.035) and symptom duration at admission (P < .001) were found as independent factors for prolonged PCR positivity. Median of total symptom duration was 7 days (IQR: 5-11). The duration of negative conversion of PCR test was median 9 days (IQR: 7-12) after symptom onset and PCR tests became negative 3 days (IQR: 2-5) after symptom improvement. CONCLUSIONS: We found that ongoing PCR positivity has no detrimental effect on the course of the disease and clinical outcomes in COVID-19 patients. In addition, our results showed that isolation may be discontinued 10-14 days after symptom onset and/or after 2-5 days after resolution of symptoms. This results also support WHO and ECDC recommendations on this matter.

Prognostic utility of pulmonary artery and ascending aorta diameters derived from computed tomography in COVID-19 patients.

AIM: Chest computed tomography (CT) imaging plays a diagnostic and prognostic role in Coronavirus disease 2019 (COVID-19) patients. This study aimed to investigate and compare predictive capacity of main pulmonary artery diameter (MPA), ascending aorta diameter (AAo), and MPA-to-AAo ratio to determine in-hospital mortality in COVID-19 patients. MATERIALS AND METHODS: This retrospective study included 255 hospitalized severe or critical COVID-19 patients. MPA was measured at the level of pulmonary artery bifurcation perpendicular to the direction of the vessel through transverse axial images and AAo was measured by using the same CT slice at its maximal diameter. MPA-to-AAo ratio was calculated by division of MPA to AAo. RESULTS: Multivariate logistic regression model yielded MPA ≥29.15 mm (OR: 4.95, 95% CI: 2.01-12.2, p = 0.001), MPA (OR: 1.28, 95% CI: 1.13-1.46, p < 0.001), AAo (OR: .90, 95% CI: .81-.99, p = 0.040), and MPA-to-AAo ratio ≥.82 (OR: 4.67, 95% CI: 1.86-11.7, p = 0.001) as independent predictors of in-hospital mortality. Time-dependent multivariate Cox-proportion regression model demonstrated MPA ≥29.15 mm (HR: 1.96, 95% CI: 1.03-3.90, p = 0.047) and MPA (HR: 1.08, 95% CI: 1.01-1.17, p = 0.048) as independent predictors of in-hospital mortality, whereas AAo and MPA-to-AAo ratio did not reach statistical significance. CONCLUSION: Pulmonary artery enlargement strongly predicts in-hospital mortality in hospitalized COVID-19 patients. MPA, which can be calculated easily from chest CT imaging, can be beneficial in the prognostication of these patients.

Evaluating the efficiency of public policy measures against COVID-19

The World Health Organization (WHO) declared COVID-19 as a Public Health Emergency of international concern on January 30, 2020, and a pandemic on March 11, 2020. Afterward, it spread rapidly all over the world, causing almost 4 million deaths as of June 2021. It is clear that effective preventive measures are needed in this devastating disease, which still has no cure. In addition to mask using, social distancing, and hygiene practices, which enter our lives as the most basic precautions, communities aim to reduce the effects of the COVID-19 pandemic. All over the world, the measures taken and activities performed in the COVID-19 pandemic are discussed, and information in this regard is shared. Mask usage, social distancing, hygiene, avoiding crowded and closed areas, contact tracing, rapid and accurate testing, increased indoor air quality, vaccination, and lockdown measures constitute the main preventive measures. This review summarizes the efficiency of public policy measures against COVID-19.

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

Background/aim: Coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. As a result of high mortality rate among the severe COVID-19 patients, the early detection of the disease stage and early effective interventions are very important in reducing mortality. Hence, it is important to differentiate severe and nonsevere cases from each other. To date, there are no proven diagnostic or prognostic parameters that can be used in this manner. Due to the expensive and not easily accessible tests that are performed for COVID-19, researchers are investigating some parameters that can be easily used. In some recent studies, hematological parameters have been evaluated to see if they can be used as predictive parameters. Materials and methods: In the current study, almost all hematological parameters were used, including the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio, mean platelet volume to lymphocyte ratio, mean platelet volume to platelet ratio, plateletcrit, and D-dimer/fibrinogen ratio, neutrophil/lymphocyte/platelet scoring system, and systemic immune-inflammation index. A total of 750 patients, who were admitted to Ankara City Hospital due to COVID-19, were evaluated in this study. The patients were classified into 2 groups according to their diagnosis (confirmed or probable) and into 2 groups according to the stage of the disease (nonsevere or severe). Results: The values of the combinations of inflammatory markers and other hematological parameters in all of the patients with severe COVID-19 were calculated, and the predicted values of these parameters were compared. According to results of the study, nearly all of the hematological parameters could be used as potential diagnostic biomarkers for subsequent analysis, because the area under the curve (AUC) was higher than 0.50, especially for the DFR and NLR, which had the highest AUC among the parameters. Conclusion: Our findings indicate that, the parameters those enhanced from complete blood count, which is a simple laboratory test, can help to identify and classify COVID-19 patients into non-severe to severe groups.

Investigation of SARS-CoV-2 in Semen of Patients in the Acute Stage of COVID-19 Infection.

INTRODUCTION: The presence of new coronavirus (SARS-CoV-2) in semen and the possibility of sexual transmission have become new subjects of curiosity. There is a discrepancy regarding this issue in the literature. The presence of SARS-CoV-2 in semen has been investigated in a limited number of studies, and mostly in recovering patients. We aimed to investigate the presence of SARS-CoV-2 RNA in semen of patients with a positive nasopharyngeal swab test for SARS-CoV-2 in the acute stage. METHODS: We enrolled adult male patients who were hospitalized with confirmed SARS-COV-2 infection in the study. In addition to routine laboratory and radiological tests, semen sample was obtained from volunteers and transferred to the Turkish Public Health Institution, National Virology Laboratory. The samples were processed for the detection of SARS-CoV-2 RNA on the day of collection. RESULTS: Sixteen patients were included in the study. The median age was 33.5 years (18-54). All but one had respiratory symptoms. None of the patients had a history or symptoms of urogenital disease. All semen samples were obtained during hospitalization and in the acute stage of the infection. The median time to obtain a semen sample after positive nasopharyngeal test was 1 day (0-7). All semen samples were detected as negative for SARS-CoV-2 PCR. DISCUSSION/CONCLUSION: Although all semen samples were obtained in acute stage of the infection when the nasopharyngeal swab test was positive, we did not detect SARS-CoV-2 in semen. The results of our study support the thought that sexual transmission via semen does not have an important role in the person-to-person transmission of SARS-CoV-2. We think that our study will provide new information to fill the gap in the literature.

COVID-19: Prevention and control measures in community

On January 30, 2020, the WHO declared the COVID-19 outbreak a public health emergency of international concern and, in March 2020, began to characterize it as a pandemic in order to emphasize the gravity of the situation and urge all countries to take action in detecting infection and preventing spread. Unfortunately, there is no medication that has been approved by the FDA, gone through controlled studies and demonstrated an effect on the virus for this global pandemic. Although there are cures for illnesses and developments made by leaps and bounds in our day, the strongest and most effective weapon that society has against this virus that is affecting not just health but also economics, politics, and social order, is the prevention of its spread. The main points in preventing the spread in society are hand hygiene, social distancing and quarantine. With increased testing capacity, detecting more COVID-19 positive patients in the community will also enable the reduction of secondary cases with stricter quarantine rules.

COVID-19 experience of the major pandemic response center in the capital: results of the pandemic's first month in Turkey

Background/aim: The aim of this study is to evaluate the epidemiological and clinical characteristics and parameters that determined the clinical course and prognosis of the COVID-19 patients admitted to Ankara City Hospital during the first month of the pandemic in Turkey. Materials and methods: SARS-CoV-2 PCR positive patients who were hospitalized between March 10 and April 10, 2020 were included. Results: Among 222 patients, mean age was higher in severe acute respiratory illness (SARI)/critical disease group (P < 0.001). Median time from illness onset to admission and presence of comorbidity, especially coronary artery disease and chronic obstructive pulmonary disease, were significantly higher in the SARI/critical disease group (P < 0.05). Cough and fever were the most common symptoms, while anosmia and loss of taste were observed in 8.6% and 7.7% patients, respectively. The mortality rate was 5.4%. A high neutrophil/lymphocyte ratio; low lymphocyte, monocyte, and platelet count; elevated liver enzymes; low GFR; and high levels of muscle enzymes, ferritin, and IL-6 on admission were found to be associated with SARI/critical disease (P < 0.05). Bilateral ground-glass opacity and patchy infiltration were more frequently seen in the SARI/critical disease group (P < 0.001). Patients older than 65 years had an 8-fold increased risk for development of SARI/critical disease. Conclusion: This cohort study regarding COVID-19 cases in Turkey reveals that older age, presence of comorbidity, bilateral infiltration on CT, high neutrophil/lymphocyte ratio, low monocyte and platelet count, elevated liver enzymes, low GFR, high levels of muscle enzymes, and high levels of ferritin and IL-6 on admission are predictors of SARI and severe disease.

Portraying infective endocarditis: results of multinational ID-IRI study.

Infective endocarditis is a growing problem with many shifts due to ever-increasing comorbid illnesses, invasive procedures, and increase in the elderly. We performed this multinational study to depict definite infective endocarditis. Adult patients with definite endocarditis hospitalized between January 1, 2015, and October 1, 2018, were included from 41 hospitals in 13 countries. We included microbiological features, types and severity of the disease, complications, but excluded therapeutic parameters. A total of 867 patients were included. A total of 631 (72.8%) patients had native valve endocarditis (NVE), 214 (24.7%) patients had prosthetic valve endocarditis (PVE), 21 (2.4%) patients had pacemaker lead endocarditis, and 1 patient had catheter port endocarditis. Eighteen percent of NVE patients were hospital-acquired. PVE patients were classified as early-onset in 24.9%. A total of 385 (44.4%) patients had major embolic events, most frequently to the brain (n = 227, 26.3%). Blood cultures yielded pathogens in 766 (88.4%). In 101 (11.6%) patients, blood cultures were negative. Molecular testing of vegetations disclosed pathogens in 65 cases. Overall, 795 (91.7%) endocarditis patients had any identified pathogen. Leading pathogens (Staphylococcus aureus (n = 267, 33.6%), Streptococcus viridans (n = 149, 18.7%), enterococci (n = 128, 16.1%), coagulase-negative staphylococci (n = 92, 11.6%)) displayed substantial resistance profiles. A total of 132 (15.2%) patients had cardiac abscesses; 693 (79.9%) patients had left-sided endocarditis. Aortic (n = 394, 45.4%) and mitral valves (n = 369, 42.5%) were most frequently involved. Mortality was more common in PVE than NVE (NVE (n = 101, 16%), PVE (n = 49, 22.9%), p = 0.042).