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DEMİRDÖĞEN, EZGİ

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    The relationship between serum periostin levels, 6-minute walking test and quality of life in patients with idiopathic pulmonary fibrosis
    (Carbone Editore, 2019-01-01) Eken, Özge Aslantekin; ASLANTEKİN EKEN, ÖZGE; Coşkun, Funda; COŞKUN, NECMİYE FUNDA; Demirdöğen, Ezgi; DEMİRDÖĞEN, EZGİ; Dilektaşlı, Aslı Görek; GÖREK DİLEKTAŞLI, ASLI; Ursavaş, Ahmet; URSAVAŞ, AHMET; Budak, Ferah; BUDAK, FERAH; Karadağ, Mehmet; KARADAĞ, MEHMET; Tıp Fakültesi; İmmunoloji Ana Bilim Dalı; 0000-0003-3604-8826; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0001-7625-9148; 0000-0002-9027-1132; AAG-8744-2021; AAI-3169-2021; JPK-7012-2023; AAD-1271-2019; IZP-9398-2023; F-4657-2014; AAH-9812-2021
    Introduction: Interstitial lung disease (ILD) is a group of chronic respiratory diseases characterized by inflammation and fi-brosis in different patterns at the interstitium, which is the most common form of idiopathic pulmonary fibrosis (IPF). Considering the prevalence, incidence, and outcomes of IPF, it is important to ensure the availability and validity of biomarkers that can be used in determining the diagnosis and prognosis. In this study, we aimed to assess the relationship between serum periostin levels, pulmonary function tests, 6-minute walking test (6MWT) and quality of life in IPF patients.Material and methods: Our study was carried out with 40 IPF patients who were followed at Uludag University, Faculty of Medicine, Department of Pulmonary Medicine. Spirometer and carbon monoxide diffusion test (DLCO) for respiratory functions, 6MWT and periostin level measurement were performed on the patients, and results were recorded.Results: A total of 31 of patients were males and nine were females. The diagnosis of IPF was made according to the guidelines of ATS / ERS / JRS / ALAT with 25 (62.5%) patients by radiologically and 15 (37.5%) patients with histopathological and radiological features. The mean periostin level was 32.9 +/- 37.57 ng/ml. No significant correlation was found between St. George's Respiratory Questionnaire (SGRQ) score, FVC% predicted, DLCO adj% predicted values, 6MWT distance and periostin level which were measured simultaneously. A negative correlation was found between SGRQ score and DLCO adj% predicted value, 6MWT distance.Conclusion: It has been shown that there is no correlation between periostin levels and the results of the pulmonary function tests, when measured and performed at the same time. No studies are evaluating the relationship between 6MWT and SGRQ scores and periostin levels. In our study, serum periostin level, pulmonary function test results, 6MWT and SGRQ scores were not significantly correlated.
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    Frailty: An indicator for poor outcomes among in-hospital pulmonology patients
    (European Respiratory Soc Journals, 2021-09-05) Öztürk, Nilüfer Aylin Acet; Dilektaşlı, Aslı Görek; Güçlü, Özge Aydın; Ursavaş, Ahmet; Demirdoğen, Ezgi; Coşkun, Funda; Uzaslan, Esra; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; GÖREK DİLEKTAŞLI, ASLI; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Tıp Fakültesi; Göğüs Hastalıkları Ana Bilim Dalı; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; JPK-7012-2023; AAG-8744-2021; AAD-1271-2019; Z-1424-2019; CNP-1063-2022; AAG-9930-2019; CDI-1977-2022
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    Impact of covid-19 pneumonia on pulmonary function, functional exercise capacity and quality of life
    (European Respiratory Soc Journals, 2021-09-05) Dilektasli, Asli Gorek; GÖREK DİLEKTAŞLI, ASLI; Ozturk, Nilufer; ACET ÖZTÜRK, NİLÜFER AYLİN; Odabas, Ayten; Demirdogen, Ezgi; DEMİRDÖĞEN, EZGİ; Ursavas, Ahmet; URSAVAŞ, AHMET; Coskun, Funda; COŞKUN, NECMİYE FUNDA; Guclu, Ozge Aydin; AYDIN GÜÇLÜ, ÖZGE; Ediger, Dane; EDİGER, DANE; Uzaslan, Esra; UZASLAN, AYŞE ESRA; Tıp Fakültesi; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0003-1005-3205; 0000-0002-2954-4293; AAI-3169-2021; AAE-9142-2019; JPK-7012-2023; AAD-1271-2019
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    AVAPS-NIV treatment in hypercapnic respiratory failure with insufficient response to fixed-level PS-NIV
    (Türk Tüberküloz ve Toraks, 2022-01-01) Öztürk, Nilüfer Aylın Acet; Güçlü, Özge Aydın; Demirdöğen, Ezgi; Dilektaşlı, Asli Görek; Maharramov, Shahriyar; Coşkun, Funda; Uzaslan, Esra; Ursavaş, Ahmet; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; AYDIN GÜÇLÜ, ÖZGE; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; Maharramov, Shahriyar; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; URSAVAŞ, AHMET; KARADAĞ, MEHMET; Tıp Fakültesi; Göğüs Hastalıkları Ana Bilim Dalı; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; AAD-1271-2019; AAG-8744-2021; JPK-7012-2023; DTT-7416-2022; DDT-7334-2022
    Introduction: Noninvasive ventilation (NIV) for acute hypercapnic respiratory failure (AHRF) is an established treatment modality. Current evidence does not conclude any superiority between fixed pressure support (PS) and aver-age volume-assured pressure support (AVAPS) modes. However, given the ability of rapid PaCO2 decline in AVAPS mode, we hypothesized that COPD patients with AHRF who did not show the desired reduction in PaCO2 with fixed-level PS-NIV might benefit from the AVAPS mode.Materials and Methods: Patients admitted to the non-ICU pulmonary ward with acute exacerbation of COPD (AECOPD) and AHRF were included con-secutively in this observational study. Patients with hypercapnic respiratory failure due to obesity-hypoventilation, neurological diseases, or chest wall deformities were excluded. All patients started NIV treatment with fixed pres-sure support (PS) and patients who did not reach clinical and laboratory stability under PS-NIV treatment were switched to the average volume -as-sured pressure support (AVAPS) mode of NIV.Results: Thirty-five COPD patients with hypercapnic respiratory failure were included. Under PS-NIV treatment, 14 (40%) patients showed a 17.9 (-0.0-29.2) percent change in terms of PaCO2 , meaning no improvement or worsening. Therefore, these patients were treated with AVAPS mode. Arterial PaCO2 and pH levels significantly improved after AVAPS-NIV administration. AVAPS-NIV treatment created a significantly better PaCO2 change rate than using PS-NIV (-11.4 (-22.0 --0.5)vs 8.2 (-5.3-19.5), p= 0.02]. Independent predictors of AVAPS mode requirement were higher Charlson Comorbidity Index (OR= 1.74 (95% CI= 1.02-2.97)] and higher PaCO2 upon admission (OR= 1.18 (95% CI= 1.03-1.35)]. Thirteen (92.8%) patients reaching signif-icant clinical stability with AVAPS-NIV were able to return to fixed-level PS-NIV and maintain acceptable PaCO2 levels.Conclusion: Our study demonstrated that patients can benefit from AVAPS-NIV despite insufficient response to fixed-level PS-NIV.
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    Il-21: A potential biomarker for diagnosis and predicting prognosis in covid-19 patients
    (European Respiratory Society Journals, 2021-09-05) Öztürk, Nilüfer Aylin Acet; Ursavaş, Ahmet; Dilektaşlı, Aslı Görek; Demirdöğen, Ezgi; Coşkun, Funda; Ediger, Dane; Uzaslan, Esra; Yöyen-Ermiş, Diğdem; Karaca, Mert; Terzi, Orkun; Bayram, Merve; Ömer, Dilara; Yiğitliler, Büşra; Yurttaş, Ahmet; Maharramov, Shahriyar; Çelik, Gamze; Oral, Barbaros; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; URSAVAŞ, AHMET; GÖREK DİLEKTAŞLI, ASLI; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; UZASLAN, AYŞE ESRA; YÖYEN ERMİŞ, DİĞDEM; KARACA, MERT; TERZİ, ORKUN ERAY; BAYRAM, MERVE; ÖMER TOPÇU, DİLARA; YURTTAŞ, AHMET; ORAL, HALUK BARBAROS; KARADAĞ, MEHMET; MAHARRAMOV, SHAHRİYAR; YAZICI, GAMZE; Tıp Fakültesi; 0000-0002-6375-1472; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0002-2954-4293; 0000-0001-5871-8769; 0000-0002-9027-1132; AAG-8744-2021; JPK-7012-2023; AAH-3888-2021; AAE-9142-2019; AAI-3169-2021; AAD-1271-2019
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    The age-dependent role of Th22, Tc22, and Tc17 cells in the severity of pneumonia in COVID-19 immunopathogenesis
    (Wiley, 2021-08) Şimşek, Abdurrahman; Çağan, Eren; Kızmaz, Muhammed Ali; Dombaz, Fatma; Tezcan, Gülçin; Asan, Ali; Demir, H. İbrahim; Bal, S. Haldun; Ermiş, Diğdem Yoyen; Demirdöğen, Ezgi; Heper, Yasemin; Akalın, E. Halis; Oral, Haluk Barbaros; Budak, Ferah; ŞİMŞEK, ABDURRAHMAN; TEZCAN, GÜLÇİN; BAL, SALİH HALDUN; DEMİRDÖĞEN, EZGİ; BUDAK, FERAH; HEPER, YASEMİN; AKALIN, EMİN HALİS; Kızmaz, Muhammed Ali; Dombaz, Fatma; YÖYEN ERMİŞ, DİĞDEM; ORAL, HALUK BARBAROS; Tıp Fakültesi; 0000-0001-8850-0269; 0000-0001-5334-7911; 0000-0001-7288-3250; 0000-0002-5956-8755; 0000-0002-7400-9089; 0000-0001-7625-9148; AAG-7381-2021; HKN-2347-2023; DWR-5356-2022; KBR-5535-2024; GYL-2038-2022; AAH-9812-2021; CTY-9474-2022; AAU-8952-2020; IZP-9398-2023; K-7285-2012; AAH-3843-2020
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    Development and validation of a simple risk scoring system for a COVİD-19 diagnostic prediction model
    (Tüberküloz ve Toraks, 2023-01-01) Güçlü, Özge Aydın; Ursavaş, Ahmet; Ocakoğlu, Gokhan; Demirdogen, Ezgi; Öztürk, Nilufer Aylin Acet; Topçu, Dilara Ömer; Terzi, Orkun Eray; Onal, Uğur; Dilektaşlı, Aslı Görek; Sağlık, İmran; Coşkun, Funda; Ediger, Dane; Uzaslan, Esra; AkalIn, Halis; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; OCAKOĞLU, GÖKHAN; DEMİRDÖĞEN, EZGİ; ACET ÖZTÜRK, NİLÜFER AYLİN; ÖMER TOPÇU, DİLARA; TERZİ, ORKUN ERAY; ÖNAL, UĞUR; GÖREK DİLEKTAŞLI, ASLI; SAĞLIK, İMRAN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; UZASLAN, AYŞE ESRA; AkalIn, Halis; KARADAĞ, MEHMET; Tıp Fakültesi; Göğüs Hastalıkları Ana Bilim Dalı; 0000-0003-1005-3205; 0000-0002-1114-6051; 0000-0002-7400-9089; 0000-0002-6375-1472; 0000-0001-7099-9647; 0000-0002-2954-4293; 0000-0001-7530-1279; 0000-0002-9027-1132; AAH-5180-2021; A-4970-2019; AAG-8744-2021; AAI-3169-2021; JCO-3678-2023; JPK-7012-2023
    Introduction: In a resource-constrained situation, a clinical risk stratification system can assist in identifying individuals who are at higher risk and should be tested for COVID-19. This study aims to find a predictive scoring model to estimate the COVID-19 diagnosis.Materials and Methods: Patients who applied to the emergency pandemic clinic between April 2020 and March 2021 were enrolled in this retrospective study. At admission, demographic characteristics, symptoms, comorbid diseases, chest computed tomography (CT), and laboratory findings were all recorded. Development and validation datasets were created. The scoring system was performed using the coefficients of the odds ratios obtained from the multivariable logistic regression analysis.Results: Among 1187 patients admitted to the hospital, the median age was 58 years old (22-96), and 52.7% were male. In a multivariable analysis, typical radiological findings (OR= 8.47, CI= 5.48-13.10, p< 0.001) and dyspnea (OR= 2.85, CI= 1.71-4.74, p< 0.001) were found to be the two important risk factors for COVID-19 diagnosis, followed by myalgia (OR= 1.80, CI= 1.082.99, p= 0.023), cough (OR= 1.65, CI= 1.16-2.26, p= 0.006) and fatigue symptoms (OR= 1.57, CI= 1.06-2.30, p= 0.023). In our scoring system, dyspnea was scored as 2 points, cough as 1 point, fatigue as 1 point, myalgia as 1 point, and typical radiological findings were scored as 5 points. This scoring system had a sensitivity of 71% and a specificity of 76.3% for a cut-off value of >2, with a total score of 10 (p< 0.001).Conclusion: The predictive scoring system could accurately predict the diagnosis of COVID-19 infection, which gave clinicians a theoretical basis for devising immediate treatment options. An evaluation of the predictive
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    Tocilizumab treatment in covid-19: A prognostic study using propensity score matching
    (Wroclaw Medical Univ, 2022-08-11) Güçlü, Özge Aydın; Önal, Uğur; Akalın, Halis; Öztürk, Nilüfer Aylin Acet; Belik, Hazel Öztürk; Demirdoğen, Ezgi; Dilektaşlı, Aslı Görek; Kazak, Esra; Ocakoğlu, Gökhan; Sağlık, İmran; Coşkun, Funda; Ediger, Dane; Heper, Yasemin; Ursavaş, Ahmet; Yılmaz, Emel; Uzaslan, Esra; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; ÖNAL, UĞUR; AKALIN, EMİN HALİS; ACET ÖZTÜRK, NİLÜFER AYLİN; ÖZTÜRK BELİK, HAZEL; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; KAZAK, ESRA; OCAKOĞLU, GÖKHAN; SAĞLIK, İMRAN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; HEPER, YASEMİN; URSAVAŞ, AHMET; YILMAZ, EMEL; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Tıp Fakültesi; 0000-0003-1005-3205; 0000-0001-6194-3254; 0000-0001-7530-1279; 0000-0002-6375-1472; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0002-1114-6051; 0000-0003-0864-4989; 0000-0003-3604-8826; 0000-0002-2954-4293; 0000-0003-1785-3539; 0000-0002-9027-1132; AAG-8744-2021; AAD-1271-2019; JCO-3678-2023; AAH-5180-2021; JPK-7012-2023; ACQ-7832-2022; AAU-8952-2020; AAI-3169-2021; AAG-9930-2019; Z-1424-2019; GQC-6764-2022; DTT-7416-2022
    Background. The potential role of interleukin-6 (IL-6) in coronavirus disease 2019 (COVID-19) pneumonia provides the rationale for investigating IL-6 signaling inhibitors.Objectives. To evaluate and report treatment responses to tocilizumab (TCZ) in COVID-19 patients and compare mortality outcomes with those of standard care.Materials and methods. Patients hospitalized with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, diagnosed with reverse transcription polymerase chain reaction (RT-PCR) between March 2020 and April 2021, were enrolled in this single-center retrospective cohort study. Propensity score matching was performed in order to reduce confounding effects secondary to imbalances in receiving TCZ treatment.Results. A total of 364 patients were included in this study. Two hundred thirty-six patients received standard care, while 128 patients were treated with TCZ in addition to standard care (26 (20.3%) patients received a dose of 400 mg intravenously once, while 102 (79.7%) patients received a total dose of 800 mg intravenously). In the propensity score-matched population, less noninvasive mechanical ventilation (p = 0.041) and mechanical ventilation support (p = 0.015), and fewer deaths (p = 0.008) were observed among the TCZ-treated patients. The multivariate adjusted Cox regression model showed a significantly higher survival rate among TCZ patients compared to controls (hazard ratio (HR): 0.157, 95% confidence interval (95% CI): 0.026-0.951; p = 0.044). The hazard ratio for mortality in the TCZ group was 0.098 (95% CI: 0.030-0.318; p = 0.0001 using log-rank test).Conclusions. This study determined that TCZ treatment in COVID-19 patients was associated with better survival, reduced need for mechanical ventilation and reduced hospital-associated mortality.
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    Pilot study for immunoglobulin E as a prognostic biomarker in coronavirus disease 2019
    (Wiley, 2022-08-19) Güçlü, Özge Aydın; Göktaş, Seda S.; Dilektaşlı, Aslı Görek; Öztürk, Nilüfer A. Acet; Demirdoğen, Ezgi; Coşkun, Funda; Ediger, Dane; Ursavaş, Ahmet; Uzaslan, Esra; Erol, Haşim A.; Karacay, Nurdan D.; Sel, Umut Kaya; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; GÖREK DİLEKTAŞLI, ASLI; ACET ÖZTÜRK, NİLÜFER AYLİN; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; URSAVAŞ, AHMET; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Tıp Fakültesi; Göğüs Hastalıkları Ana Bilim Dalı; İmmünoloji ve Alerji Hastalıkları Bilim Dalı; 0000-0003-3604-8826 ; 0000-0002-9027-1132 ; 0000-0002-7400-9089 ; 0000-0002-6375-1472 ; 0000-0003-1005-3205 ; AAG-9930-2019; DTT-7416-2022; Z-1424-2019; AAH-9812-2021; AAD-1271-2019; AAE-9142-2019; AAI-3169-2021; CDI-1977-2022; AAG-8744-2021
    Background Laboratory biomarkers to estimate the severity of coronavirus disease 2019 (COVID-19) are crucial during the pandemic since resource allocation must be carefully planned. Aims To evaluate the effects of basal serum total immunoglobulin E (IgE) levels and changes in inflammatory parameters on the clinical progression of patients hospitalised with COVID-19. Methods Patients hospitalised with confirmed COVID-19 were included in the study. Laboratory data and total IgE levels were measured on admission. Lymphocyte, eosinophil, ferritin, d-dimer and C-reactive protein parameters were recorded at baseline and on the 3rd and 14th days of hospitalisation. Results The study enrolled 202 patients, of which 102 (50.5%) were males. The average age was 50.17 +/- 19.68 years. Of the COVID-19 patients, 41 (20.3%) showed clinical progression. Serum total IgE concentrations were markedly higher (172.90 (0-2124) vs 38.70 (0-912); P < 0.001) and serum eosinophil levels were significantly lower (0.015 (0-1.200) vs 0.040 (0-1.360); P = 0.002) in clinically worsened COVID-19 patients when compared with stable patients. The optimal cut-off for predicting clinical worsening was 105.2 ng/L, with 61% sensitivity, 82% specificity, 46.3% positive predictive value and 89.2% negative predictive value (area under the curve = 0.729). Multivariable analysis to define risk factors for disease progression identified higher total IgE and C-reactive protein levels as independent predictors. Conclusions Our single-centre pilot study determined that total IgE levels may be a negative prognostic factor for clinical progression in patients hospitalised due to COVID-19 infection. Future studies are required to determine the impact of individuals' underlying immune predispositions on outcomes of COVID-19 infections.
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    Prognostic factors for COVID-19 patients
    (J Infection Developing Countries, 2022-03-01) Önal, Uğur; Güçlü, Özge Aydın; Akalın, Halis; Öztürk, Nilüfer Aylin Acet; Semet, Cihan; Demirdoğen, Ezgi; Dilektaşlı, Aslı Görek; Sağlık, İmran; Kazak, Esra; Özkaya, Güven; Coşkun, Funda; Ediger, Dane; Heper, Yasemin; Ursavaş, Ahmet; Yılmaz, Emel; Uzaslan, Esra; Karadağ, Mehmet; ÖNAL, UĞUR; AYDIN GÜÇLÜ, ÖZGE; AKALIN, EMİN HALİS; ACET ÖZTÜRK, NİLÜFER AYLİN; SEMET, CİHAN; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; SAĞLIK, İMRAN; KAZAK, ESRA; ÖZKAYA, GÜVEN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; HEPER, YASEMİN; URSAVAŞ, AHMET; YILMAZ, EMEL; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Tıp Fakültesi; Mikrobiyoloji Ana Bilim Dalı; 0000-0001-6194-3254; 0000-0003-1005-3205; 0000-0001-7530-1279; 0000-0002-6375-1472; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-0864-4989; 0000-0003-0297-846X; 0000-0003-3604-8826; 0000-0002-2954-4293; 0000-0002-3894-1231; 0000-0002-9027-1132; A-4421-2016; AAG-8459-2021; GCM-3391-2022; DTT-7416-2022; AAH-9812-2021; AEA-4817-2022; Z-1424-2019; AAU-8952-2020; AAG-9930-2019; ACQ-7832-2022; AAD-1271-2019; AAE-9142-2019; CTY-9474-2022; AAI-3169-2021; HJZ-6992-2023; CDI-1977-2022; AAG-8744-2021
    Introduction: Determining prognostic factors in patients with coronavirus disease (COVID-19) can have great impact on treatment planning and follow-up strategies. Herein, we aimed to evaluate prognostic factors and clinical scores for confirmed COVID-19 patients in a tertiary care hospital in the Bursa region of Turkey. Methodology: Patients who had been diagnosed with COVID-19 microbiologically and/or radiologically between March and October 2020 in a tertiary-care university hospital were enrolled retrospectively. Adult patients (>= 18 years) with a clinical spectrum of moderate, severe, or critical illness were included. The dependent variable was 30-day mortality and logistic regression analysis was used to evaluate any variables with a significant p value (< 0.05) in univariate analysis. Results: A total of 257 patients were included in the study. The mortality rate (30-day) was 14.4%. In logistic regression analysis, higher scores on sequential organ failure assessment (SOFA) (p < 0.001, odds ratio (OR) = 1.86, 95% CI = 1.42-2.45) and CURB-65 pneumonia severity criteria (p = 0.001, OR = 2.60, 95% CI = 1.47-4.57) were found to be significant in predicting mortality at admission. In deceased patients, there were also significant differences between the baseline, day-3, day-7, and day-14 results of D-dimer (p = 0.01), ferritin (p = 0.042), leukocyte (p = 0.019), and neutrophil (p = 0.007) counts. Conclusions: In our study of COVID-19 patients, we found that high SOFA and CURB-65 scores on admission were associated with increased mortality. In addition, D-dimer, ferritin, leukocyte and neutrophil counts significantly increased after admission in patients who died.