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Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material(s) and Method(s): In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially.Copyright © 2023 University of Ankara. All rights reserved.
ABSTRACT
Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material(s) and Method(s): In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially.Copyright © 2023 University of Ankara. All rights reserved.
ABSTRACT
Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material(s) and Method(s): In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially.Copyright © 2023 University of Ankara. All rights reserved.
ABSTRACT
Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material and Method: In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially. © 2023 University of Ankara. All rights reserved.
ABSTRACT
Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material and Method: In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially.
ABSTRACT
Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material and Method: In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially. © 2023 University of Ankara. All rights reserved.
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Post-traumatic stress disorder (PTSD) is a psychiatric problem that negatively affects a person's mental and physical life after a traumatic event. If the disease is not recognized and treated at an early stage, negative consequences such as bipolar disorder, anxiety or suicidality can occur. An artificial intelligence-based model has been developed for the early detection of PTSD. In the study, K-Nearest Neighbor algorithm, Support Vector Machines, Decision Trees, Gaus Naive Bayes and Artificial Neural Networks were used and tests were carried out on the dataset collected from medical students during the Covid-19 pandemic. In the study;accuracy, precision, recall and f1 score values were examined comparatively. Artificial neural networks achieved the best result with an accuracy rate of 0,987. In addition, artificial neural networks found the best PTSD prediction with an f1 score of 0,966. © 2022, TUBITAK. All rights reserved.
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Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material(s) and Method(s): In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially. Copyright © 2023 University of Ankara. All rights reserved.
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Introduction: Treatment adherence is crucial for the success of Growth Hormone (GH) therapy. Non-adherence rates have varied over a wide range from 5% to 80% in the literature. Several factors may have an impact on treatment adherence. Besides, with the COVID-19 pandemic that affected the whole world, there were problems with the hospital admission and routine controls of the patients who used GH treatment. Objective(s): The survey's primary objective is to investigate adherence to treatment in patients with GH. The survey will also investigate potential problems in GH treatment during the pandemic. Material(s) and Method(s): The survey was sent to pediatric endocrinologists. Patient data, diagnosis, history of pituitary surgery, current GH doses, duration of GH therapy, who administers the therapy (mother and father, patient), duration of missed doses, reasons for missed doses as well as problems associated with GH therapy, and missed dose data in the recent year (after the onset of the pandemic) and causes were asked. The treatment adherence category was determined based on missed dose rates over the past month (0 to 5%, full adherence;5.1 to 10% moderate adherence;>10% non-adherence). Result(s): 427 cases from thirteen centers were evaluated. The median age of diagnosis of the cases (56.2% male) was 8.5 (0.13-16) years. GH treatment indications were isolated GH deficiency (61.4%), multiple pituitary hormone deficiency (14%), Turner syndrome (7.5%), idiopathic GH deficiency (7.5%), and SGA (2.8%), and other (6.8%). GH therapy was administered by 70% parents and 30% patients. Mean daily dose was 32.3 mcg/kg, the annual growth rate was 7.52+/-2.7 cm. GH adherence rate was good (70.3%), moderate (14.7%), and poor (15%), respectively. The reasons for non-adherence were mainly due to forgetting, being tired, inability to access medication, and pen problems. It was noteworthy that the COVID-19 pandemic had a negative effect on adherence in 22%. The problem with an appointment, taking the medication, and anxiety about going to the hospital were the main reasons. There was no difference between genders in the adherence rate. Non-adherence to GH treatment decreased statistically when the patient administered the treatment, increased age, the duration of the treatment, and COVID-19 pandemia. A non-statistical decrease was found in the annual growth rate as the skip rate increased. Conclusion(s): During the COVID-19 pandemic, poor adherence was found to be 15%, and the duration of hormone use and advanced age are important factors. The pandemic period negatively affected compliance.
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BACKGROUND/AIMS: The global coronavirus disease (COVID-19) pandemic affects society seriously in terms of psychosocial aspects, but this effect is more intense on some specific population groups. University students are among the most affected population groups by the pandemic. This study was conducted to determine the anxiety, motivation, stress levels, and associated factors among health science students during the COVID-19 pandemic. MATERIALS AND METHODS: The population of this descriptive and cross-sectional study consisted of students studying at health-related departments in three universities in Turkey. The data were collected from 855 students determined by the stratified sampling method using the online survey method. A questionnaire developed by the researchers and the Beck Anxiety Inventory (BAI) were used to collect the data. Percentage, mean, standard deviation, t-test, One-Way ANOVA test, Pearson correlation, and linear regression analysis were performed to evaluate the data. RESULTS: The results revealed that the mean age of the students was 20.85 +/- 2.37 years (min: 18;max: 41), 80.5% were women, 38.0% were nursing students, 13.7% had a family member with the diagnosis of COVID-19. The BAI mean score was found to be 29.00 +/- 7.8. According to the multiple linear regression analysis, the factors affecting students' anxiety scores significantly were being female, impaired sleep and nutrition patterns, decreased motivation, increased stress level and having a family member with the diagnosis of COVID-19. CONCLUSION: Health science students experience severe anxiety due to COVID-19 pandemic and have moderate motivation and stress scores. Being a woman, having impaired sleep and nutrition patterns, reduced motivation, increased stress level and a family member diagnosed with COVID-19 are factors influencing the level of anxiety.
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With the Online Emergency Remote Teaching (OERT) practices emerged during the outbreak of the pandemic, teachers' digital competence (TDC) has gained growing attention in educational ICT research realm. In view of this context, the present review study aimed at illuminating the current state of TDCs literature by identifying the volume, growth trajectory, geographical distribution of TDC research. It also aimed at mapping highly influential TDC scholars, documents, and journals. Retrieved from the educational research category in the Clarivate Analytics Web of Science (WoS) core collection database, the metadata of 406 articles were analyzed by employing bibliometric performance and science mapping techniques in VOSwiever 1.6. The timeframe for the study was the last two decades (from 2002 to 2021). Findings illustrated that there has been a growing increase in the number of studies focusing on TDCs. This increase is more evident in the Covid-19 pandemic period, particularly in the last two years. More specifically, more than half of all studies were published in the years 2020 and 2021. Findings also illustrated that there is a dominance of Spanish scholars and organizations in TDC research since 2 out of every 3 studies were carried out by researchers affiliated to Spanish Universities. Additionally, co-citation analysis purported the intellectual structure of TDC knowledge base by identifying the most influential authors and documents. Finally, co-occurrence analysis revealed the concept analysis topical foci of TDC research. These topics are concentrated on "teachers' digital competence", "higher education studies", teacher training programs", and "ICT in education". As a result, based on the findings of the study some recommendations were proposed that will contribute into the ICT research community by reflecting the intellectual structure of existing TDC research, thus highlighting the future research direction.
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It has been determined that the existing studies in the literature about women architects have remained in the background or ignored in the historical process, there are barriers they have encountered in the sector, their visibility in the sector is low and they have left the profession of architecture over time. However, it has been observed that it has not been investigated whether the career barriers that female architects encounter differ according to their career stages. The aim of this research is to fill the knowledge gap identified in this field in the literature and to reveal the career barriers faced by women architects. Quantitative research method was used in this study and data were collected by questionnaire method. It has been understood that the glass ceiling and sexist attitudes, which are among the career barriers of female architects, differ according to career stages. The limitations of the research are that the participation of the participants in the research is based on voluntariness, contacting people through online platforms due to Covid 19, the research is carried out in a limited time frame and the opinions of the participants are limited to the questions in the measurement tools. Within the construction industry, women architects face career barriers throughout their careers. Ensuring that more women architects take part in the construction sector will be an important step in reducing or eliminating such barriers. However, making individual efforts to prevent these barriers faced by female architects during their careers will not produce a real solution. The research is considered important in that it has not been investigated whether the career barriers found to be faced by female architects differ according to career stages and in this context, this study is the first of its kind.
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After cardiac surgeries performed with sternotomy, neuraxial techniques, fascial plane blocks and intravenous analgesics are often used for both accelerating wound healing and early recovery of lung functions by providing effective postoperative analgesia. In this case report, we share a case of sternal revision performed with sedation and transversus thoracic muscle plane block (TTMPB) in an ASA III patient who required sternum revision after coronary artery bypass graft (CABG) surgery but had limited lung capacity due to previous COVID-19 pneumonia, considering that general anesthesia would be high-risk.
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Introduction: Since the beginning of the pandemic, factors associated with mortality in patients with corona virus infection disease 2019 (COVID-19) have been investigated. Comorbidities and increased age have been frequently reported to be associated with mortality. We aimed to evaluate the factors associated with unfavorable outcome of patients with COVID-19 at an early period of the pandemic. Methodology: This single center, retrospective, observational study was conducted among laboratory confirmed COVID-19 patients hospitalized between March 11 and May 5, 2020, at Umraniye Training and Research Hospital, Istanbul, Turkey. The effects of the severity of illness, comorbidities, symptoms, and laboratory findings on the clinical outcome were evaluated. Factors associated with unfavorable outcome (necessity of mechanical ventilation or death) were examined using Cox proportional hazards models. Results: Out of a total of 728 patients, 53.8% were men and median age 54 years. The 30-day mortality rate was 4.9% among all hospitalized patients. A logistic regression model identified six predictors of unfavorable clinical outcome: age, severity of illness, the numbers of comorbidities, lymphopenia, high levels of C-reactive protein, and procalcitonin. Conclusions: The mortality rate was lower among the patients with COVID-19, hospitalized during the early period of the pandemic. Older age, higher severity score on admission, the numbers of comorbidities, higher levels of C-reactive protein, procalcitonin, and lymphopenia were identified to be associated with unfavorable outcome of the hospitalized patients with COVID-19. Copyright © 2022 Ozel et al.
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Objective: To assess the effectiveness of high-dose corticosteroid pulse therapy and evaluate possible factors associated with 28-day mortality in hospitalised patients with severe COVID-19 pneumonia.
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A novel selective and ultrasensitive sandwich biosensor was developed for the detection of nucleocapsid biomarkers of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The biosensor fabrication strategy was composed of a combination of gold nanoparticles (AuNPs) electrodeposition and an aldehyde substituted thiophene monomer (3-Thi-Ald) electropolymerization. In this study, an effective surface design was achieved during biosensor fabrication by covalent immobilization of biorecognition elements. The Pthi-Ald polymer not only formed a surface immobilization matrix, but also supported the electrode surface conductivity with its conductive property. The immobilized antibodies on Pthi-Ald polymer could selectively capture nucleocapsid antigen via the specific immunoreaction that resulted in a blockage of the electron transfer through the working electrode because of the resistance of nucleocapsid protein. Electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and scanning electron microscopy (SEM) techniques were utilized to confirm the step-by-step fabrication procedure of the immunosensor. The developed immunosensor showed good selectivity, high storage stability, acceptable repeatability, and a good reproducibility for nucleocapsid detection. The AuNPs-Pthi-Ald polymer modified biosensor illustrated a good linear dynamic detection range between 0.0015 pg mL(-1) and 150 pg mL(-1) nucleocapsid concentration with a low detection limit of 0.48 fg mL(-1). Moreover, the immunosensor had excellent selectivity, stability, and performance in the analysis of artificial nasal secretion samples. This strategy provided a new aspect for the early screening of SARS-CoV-2 infection.
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Objective: In this study, we aimed to determine the characteristics of patients with COVID-19 pneumonia who were hospitalized in our hospital in the first wave of the pandemic and the factors affecting the need for intensive care.
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Aim: This study aimed to determine the analysis of the laboratory parameters in patients infected with SARS-CoV-2 during the early pandemic period in Turkey. Material and Methods : This retrospective descriptive study was conducted at a pandemic hospital. All hospitalized patients and outpatients with a positive RT-PCR assay for SARS-CoV-2 were included In the study. Demographics, clinical characteristics, vital parameters on admission, laboratory findings, and drugs used for SARS-CoV-2 infection were obtained from the computer-based patient data system of the hospital and analyzed. The primary outcome of the study was the laboratory parameters of patients with COVID-19. The secondary outcome was 30-day all-cause mortality following emergency department admission. Results: A total of 2,012 patients were included in study. The rates of hospitalization and 30-day mortality were 24% and 2%, respectively. The most common symptom was cough, and the most common comorbidity was hypertension. The neutrophil count, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio values were elevated in the non-survivor group compared to the survivor group (P = 0.001, P < 0.001, and P = 0.020, respectively). The lymphocyte and platelet counts were elevated in the survivor group compared to the non-survivor group (P = 0.001 and P < 0.001, respectively). As predictors of mortality, the cut-off value for the neutrophil, lymphocyte and platelet counts, and the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios were 5.68, 1.42, 195, 3.09, and 141.8, respectively, and the AUC was determined as 0.704, 0.714, 0.727, 0.745, and 0.610, respectively (P < 0.001, P < 0.001, P < 0.001, P < 0.001, and P = 0.023, respectively). Discussion: The results of the study demonstrated that the neutrophil count, lymphocyte count, platelet count, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio are useful in determining prognosis in SARS-CoV-2 Infection.
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Objective: Frontline healthcare workers (HCW) exposed to coronavirus disease-2019 (COVID-19) patients at their work environment are at a higher risk of acquiring the disease. The aim of this study was to research the COVID-19 risks due to the occupational exposure of HCW and the clinical characteristics of the affected. Material and Methods: In this retrospective study, HCW, employed by The Ümraniye Research and Training Hospital, who were diagnosed with COVID-19 between 20th March 2020 to 20th May 2020 were analysed. Results: A total of 128 (3.8%) HCW were diagnosed with COVID-19. Most of the infected HCW were medical staff (34%), nurses (24%), physicians (22%) and staff with no patient contact (20%). Fifty-six percent of the infected HCW were working in COVID-19 wards and out-patient clinics. Twenty-nine percent acquired the infection in hospital from an index patient and 32% of them from an infected HCW. The highest transmission was during the sharing of the same environment (53%) like offices. Thirteen per cent of the HCW took the virus during examination or treatment, 31% of the individuals were unaware of the transmission. The number of the infected HCW was higher during the beginning of the outbreak in Turkey. The symptomatic cases were more (88%) than the asymptomatic cases (12%). A total of 28 (22%) HCW were hospitalised and only 4% of the cases were severe. Conclusion: The asymptomatic COVID-19 carrying HCW are to be considered as the source of the spread of the disease among their colleagues. Stricter measures should be implemented to prevent in-hospital transmission. © 2021 by Türkiye Klinikleri.
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Aim: This study aimed to determine the analysis of the laboratory parameters in patients infected with SARS-CoV-2 during the early pandemic period in Turkey. Material and Methods: This retrospective descriptive study was conducted at a pandemic hospital. All hospitalized patients and outpatients with a positive RT-PCR assay for SARS-CoV-2 were included in the study. Demographics, clinical characteristics, vital parameters on admission, laboratory findings, and drugs used for SARS-CoV-2 infection were obtained from the computer-based patient data system of the hospital and analyzed. The primary outcome of the study was the laboratory parameters of patients with COVID-19. The secondary outcome was 30-day all-cause mortality following emergency department admis-sion. Results: A total of 2,012 patients were included in study. The rates of hospitalization and 30-day mortality were 24% and 2%, respectively. The most common symptom was cough, and the most common comorbidity was hypertension. The neutrophil count, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio values were elevated in the non-survivor group compared to the survivor group (P = 0.001, P < 0.001, and P = 0.020, respectively). The lymphocyte and platelet counts were elevated in the survivor group compared to the non-survivor group (P = 0.001 and P < 0.001, respectively). As predictors of mortality, the cut-off value for the neutrophil, lymphocyte and platelet counts, and the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios were 5.68, 1.42, 195, 3.09, and 141.8, respectively, and the AUC was determined as 0.704, 0.714, 0.727, 0.745, and 0.610, respectively (P < 0.001, P < 0.001, P < 0.001, P < 0.001, and P = 0.023, respectively). Discussion: The results of the study demonstrated that the neutrophil count, lymphocyte count, platelet count, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio are useful in determining prognosis in SARS-CoV-2 infection.