Epidemiology and risk factors of 28-day mortality of hospital-acquired bloodstream infection in Turkish intensive care units: a prospective observational cohort study.

OBJECTIVES: To uncover clinical epidemiology, microbiological characteristics and outcome determinants of hospital-acquired bloodstream infections (HA-BSIs) in Turkish ICU patients. METHODS: The EUROBACT II was a prospective observational multicontinental cohort study. We performed a subanalysis of patients from 24 Turkish ICUs included in this study. Risk factors for mortality were identified using multivariable Cox frailty models. RESULTS: Of 547 patients, 58.7% were male with a median [IQR] age of 68 [55-78]. Most frequent sources of HA-BSIs were intravascular catheter [182, (33.3%)] and lower respiratory tract [175, (32.0%)]. Among isolated pathogens (n = 599), 67.1% were Gram-negative, 21.5% Gram-positive and 11.2% due to fungi. Carbapenem resistance was present in 90.4% of Acinetobacter spp., 53.1% of Klebsiella spp. and 48.8% of Pseudomonas spp. In monobacterial Gram-negative HA-BSIs (n = 329), SOFA score (aHR 1.20, 95% CI 1.14-1.27), carbapenem resistance (aHR 2.46, 95% CI 1.58-3.84), previous myocardial infarction (aHR 1.86, 95% CI 1.12-3.08), COVID-19 admission diagnosis (aHR 2.95, 95% CI 1.25-6.95) and not achieving source control (aHR 2.02, 95% CI 1.15-3.54) were associated with mortality. However, availability of clinical pharmacists (aHR 0.23, 95% CI 0.06-0.90) and source control (aHR 0.46, 95% CI 0.28-0.77) were associated with survival. In monobacterial Gram-positive HA-BSIs (n = 93), SOFA score (aHR 1.29, 95% CI 1.17-1.43) and age (aHR 1.05, 95% CI 1.03-1.08) were associated with mortality, whereas source control (aHR 0.41, 95% CI 0.20-0.87) was associated with survival. CONCLUSIONS: Considering high antimicrobial resistance rate, importance of source control and availability of clinical pharmacists, a multifaceted management programme should be adopted in Turkish ICUs.

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.

COVID-19 patients with altered steroid hormone levels are more likely to have higher disease severity.

PURPOSE: This study aims to evaluate the correlations between the severity of the disease and serum steroid levels by analyzing the serum steroid levels in COVID-19 patients with different levels of disease progression and the control group. METHODS: Morning serum Aldosterone, 11-deoxycortisol, Androstenedione, 17-hydroxyprogesterone, Dihydrotestosterone (DHT), Dehydroepiandrosterone (DHEA), Corticosterone, Dehydroepiandrosterone sulfate (DHEAS), Estrone, Estradiol, Progesterone, 11-deoxycorticosterone, Cortisol, Corticosterone, Androsterone, Pregnenolone, 17-hydroxypregnenolone and 21-deoxycortisol levels were measured in 153 consecutive patients were grouped as mild, moderate, and severe based on the WHO COVID-19 disease severity classification and the control group. Steroid hormone levels were analyzed at once with a liquid chromatography-tandem mass spectrometric method (LC-MS/MS). RESULTS: In our study, nearly all steroids were statistically significantly higher in the patients' group than in the control group (p < 0.001). Also, DHEA was an independent indicator of the disease severity with COVID-19 CONCLUSIONS: Our study reveals that the alteration in steroid hormone levels was correlated with disease severity. Also, steroid hormone levels should be followed up during COVID-19 disease management.

COVID-19: vaccination vs. hospitalization.

OBJECTIVE: Vaccination is the most efficient way to control the coronavirus disease 2019 (COVID-19) pandemic, but vaccination rates remain below the target level in most countries. This multicenter study aimed to evaluate the vaccination status of hospitalized patients and compare two different booster vaccine protocols. SETTING: Inoculation in Turkey began in mid-January 2021. Sinovac was the only available vaccine until April 2021, when BioNTech was added. At the beginning of July 2021, the government offered a third booster dose to healthcare workers and people aged > 50 years who had received the two doses of Sinovac. Of the participants who received a booster, most chose BioNTech as the third dose. METHODS: We collected data from 25 hospitals in 16 cities. Patients hospitalized between August 1 and 10, 2021, were included and categorized into eight groups according to their vaccination status. RESULTS: We identified 1401 patients, of which 529 (37.7%) were admitted to intensive care units. Nearly half (47.8%) of the patients were not vaccinated, and those with two doses of Sinovac formed the second largest group (32.9%). Hospitalizations were lower in the group which received 2 doses of Sinovac and a booster dose of BioNTech than in the group which received 3 doses of Sinovac. CONCLUSION: Effective vaccinations decreased COVID-19-related hospitalizations. The efficacy after two doses of Sinovac may decrease over time; however, it may be enhanced by adding a booster dose. Moreover, unvaccinated patients may be persuaded to undergo vaccination.

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.

Evaluation of 17 patients with COVID-19 pneumonia treated with anakinra according to HScore, SOFA, MuLBSTA, and Brescia-COVID respiratory severity scale (BCRSS) scoring systems.

COVID-19 pandemic has been affecting the whole world by increasing morbidity and mortality rates day by day. Treatment algorithms have been attempted as parallel to the increasing experience with COVID-19. In the pathogenesis of this virus pro-inflammatory cytokine storm has been called to have the main role. The right timing should be made for treatments. We proposed IL- 1 blocking by anakinra in seventeen COVID-19 patients at high risk of worsening. Patients were assessed according to HScore, SOFA (Sequential Organ Failure Assessment Score = SOFA), MuLBSTA Score (multilobular infiltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension, and age), Brescia-COVID respiratory severity scale (BCRSS). In our study, the mortality rate was 17.6%. Consequently, 1 (5.9%) patient was receiving low-flow oxygen supply, 3 (17.6%) patients needed no longer oxygen supply and 10 (58.8%) patients were discharged from the hospital. According to the results of our study in the manner of general evaluation; we found that SOFA, MuLBSTA, and BCRSS scores were one step ahead according to HScore being insufficient to determine early phases of the disease. In our opinion, the prominent factors that emphasize the use of anakinra could be listed as comorbidity, risk, or presence of secondary infection, ongoing malignant disease. However, the other factors that enhance the use of anakinra in the situation of viremia also could be sorted as no response to full dose antivirals, antiviral side effects, or no success to antiviral treatment.

A useful and sensitive marker in the prediction of COVID-19 and disease severity: Thiol.

Thiol-disulphide homeostasis (TDH) is a new parameter indicating oxidative stress that plays a role in the pathogenesis of various clinical disorders. Our study planned to investigate TDH in COVID-19 patients. Age and gender-matched healthy subjects (n = 70) and COVID-19 patients (n = 144) were included in the study. In addition to the routine laboratory parameters of the groups, their native thiol (NT), total thiol (TT) and disulphide levels were measured. Primarily, we compared COVID-19 patients to the healthy control group for inflammatory parameters, NT, TT and disulphide levels. Then, COVID-19 patients were divided into two groups according to the severity of the disease as mild to moderate and severe COVID-19, and the three groups were compared with each other. Predictive value of thiol parameters in the diagnosis of COVID-19 and in the determining its severity, and its correlation with presence and duration of symptoms were investigated. Severe COVID-19 patients had lower NT and TT levels compared with healthy controls and mild to moderate patients (P < 0.001 for both). The results of ROC analysis show that the greatest AUC was IL-6 and NT (AUC = 0.97, AUC = 0.96, respectively) between control and COVID-19 patients, while it was CRP and NT (AUC = 0.85, AUC = 0.83) between mild to moderate and severe patients. A negative correlation was found between duration of symptoms of dyspnoea, cough, fever, and sore throat and NT (r = -0.45, P = 0.017, r = -0.418, P < 0.001, r = -0.131, P = 0.084, r = -0.452, P = 0.040, respectively). NT and TT levels have a strong predictive value in the diagnosis of COVID-19 and in determining disease severity. Our results support that changing TDH parameters appears to have an important role in disease pathogenesis and it can be used in clinical management of patients.

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.

The Additional Contribution of Second Nasopharyngeal PCR to COVID-19 Diagnosis in Patients with Negative Initial Test.

OBJECTIVE: The World Health Organization (WHO) recommends performing a second test in patients with a high suspicion of novel coronavirus disease (COVID-19) whose first PCR test is negative. However, the additional contribution of the second PCR test to the diagnosis is unknown. PATIENTS AND METHODS: In this study, we aimed to investigate the contribution of second SARS-CoV-2 PCR to diagnosis in patients with a suspicion of COVID-19 whose initial test was negative. RESULTS: A total of 1449 patients were hospitalized in infectious disease clinics with the suspicion of COVID-19 infection during the study period. We performed the second PCR test (697 nasopharyngeal sample, 5 tracheal aspirate) in 702/766 (91.6%) patients whose first tests were negative and detected as positive in only 6.6% (46) of samples. CONCLUSIONS: The strategy of using the second nasopharyngeal PCR test to confirm or exclude the diagnosis seems to cause the loss of labor and time, and is costly, because its additional contribution to the first test is very low.

Do Lifestyle Changes of Renal Transplant Recipients During the Pandemic Reduce the Risk of Coronavirus Disease 2019?

INTRODUCTION: There is no published study regarding the effects of preventive measures on coronavirus disease 2019 (COVID-19) frequency in renal transplantation recipients. The aim of this study is to reveal the preventive measures taken by renal transplant recipients during the COVID-19 pandemic and whether these measures influence the prevalence of the disease. MATERIALS AND METHODS: After detecting the first COVID-19 case in Turkey, we briefed all of our renal transplant recipients on preventive measures regarding COVID-19. Two months afterward, a questionnaire was prepared regarding the preventive measures practiced by renal transplant recipients, and patients were asked whether they had any COVID-19 symptoms or had received a COVID-19 diagnosis. RESULTS: Among 132 patients, 68 were surveyed through telephone calls. During this time, 95.5% of patients were in isolation at home except for when seeing to their essential needs. Two (2.9%) patients were hospitalized due to increases in creatinine level and urinary tract infection. All patients have worn masks when going out and stated that they washed their hands more frequently. There was a decrease in the frequency of hospital controls in 79.4% of patients. Although 2 (2.9%) patients had complaints of dysuria and fever, they did not apply to the hospital because they thought hospitals carried risk during the pandemic. One patient had a cough with fever and was admitted to the hospital with suspicion of COVID-19 but tested negative. DISCUSSION: It was determined that renal transplant recipients in our study population meticulously complied with preventive measures and increased the use of masks and hand hygiene practices. As a result, none were infected with severe acute respiratory syndrome coronavirus 2.

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.