Wos Kapalı Erişimli Yayınlar
Permanent URI for this collectionhttps://hdl.handle.net/11727/10753
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Item Relationship between chest computed tomography findings and clinical conditions of coronavirus disease (COVID-19): A multicentre experience(2021) Yilmaz Demirci, Nilgun; Ugras Dikmen, Asiye; Tasci, Canturk; Dogan, Deniz; Arslan, Yakup; Ocal, Nesrin; Tasar, Mustafa; Bozlar, Ugur; Artuk, Cumhur; Yilmaz, Gulden; Karacaer, Zehra; Avci, Ismail Yasar; Tuncer Ertem, Gunay; Erdinc, Fatma Sebnem; Kinikli, Sami; Altun Demircan, Serife; Ergun, Elif; Nercis Kosar, Pinar; Karakoc, Ayse Esra; Gokcek, Atila; Aloglu, Melike; Gulgosteren, Sevtap; Atikcan, Sukran; Akcay, Sule; Erol, Cigdem; Hekimoglu, Koray; Cerit, Mahi Nur; Erbas, Gonca; Ozger, Hasan Selcuk; Bozdayi, Gulendam; Senol, Esin; Yurdakul, Ahmet Selim; Yilmaz, Aydin; 0000-0002-2535-2534; 0000-0002-0805-0841; 34105857; AAJ-1219-2021; AAD-9097-2021Aims This study aimed to investigate the clinical and chest computed tomography (CT) features associated with clinical parameters for coronavirus disease (COVID-19) in the capital of Turkey, Ankara. Materials and methods Epidemiological, clinical features, laboratory findings and radiological characteristics of 1563 hospitalised patients with COVID-19 in Ankara were collected, reviewed and analysed in this study. The risk factors associated with disease severity were investigated. Results Non-severe (1214; 77.7%) and severe cases (349; 22.3%) were enrolled in the study. Compared with the non-severe group, the severe group were significantly older and had more comorbidities (ie, hypertension, diabetes mellitus, cardiovascular disease and chronic kidney disease). Smoking was more common in the severe group. Severe patients had higher respiratory rates and higher incidences of cough and dyspnoea compared with non-severe patients. Compared with the non-severe patients, the severe patients had increased C-reactive protein (CRP), procalcitonin, neutrophil to lymphocyte ratio (NLR) and CRP/albumin ratio and decreased albumin. The occurrence rates of consolidation, subpleural sparing, crazy-paving pattern, cavity, halo sign, reversed halo sign, air bronchogram, pleural thickening, micronodule, subpleural curvilinear line and multilobar and bilateral involvement in the CT finding of the severe patients were significantly higher than those of the non-severe patients. Conclusions Many factors are related to the severity of COVID-19, which can help clinicians judge the severity of the patient and evaluate the prognosis. This cohort study revealed that male sex, age (>= 55 years), patients with any comorbidities, especially those with cardiovascular disease, dyspnoea, increased CRP, D-dimer and NLR, and decreased lymphocyte count and CT findings of consolidation and multilobar involvement were predictors of severe COVID-19.Item The Clinical Outcomes Of Covid-19 Disease In Patients With Solıid Organ Transplantation(2021) Yuce, Gulbahar Darilmaz; Ulubay, Gaye; Karakaya, Emre; Tek, Korhan; Akdur, Aydincan; Bozbas, Serife Savas; Gedik, Ender; Kupeli, Elif; Erol, Cigdem; Arslan, Hande; Akcay, Sule; Haberal, Mehmet; 0000-0002-8726-3369; 0000-0002-2535-2534; 0000-0002-5708-7915; 0000-0002-3462-7632; AAA-3068-2021; AAJ-1219-2021; ABG-7034-2021; AAJ-8097-2021Item Anxiety and Depression Levels of Healthcare Workers During COVID-19 Pandemic(2021) Turan, Muzaffer Onur; Demirci, Nilgun Yilmaz; Ak, Guntulu; Akcay, Sule; Akturk, Ulku Aka; Bilaceroglu, Semra; Coskun, Funda; Kokturk, Oguz; Mirici, Arzu; Cengiz, Ozdemi. R.; Sen, Nazan; Yilmaz, UlkuItem Characteristics of hospitalized COVID-19 patients and parameters associated with severe pneumonia(2021) Turan, Muzaffer Onur; Mirici, Arzu; Akcali, Serap Duru; Turan, Pakize Ayse; Batum, Ozgur; Sengul, Aysun; Unsal, Zuhal Ekici; Kabakoglu, Nalan Isik; Ogan, Nalan; Torun, Serife; Ak, Guntulu; Akcay, Sule; Komurcuoglu, Berna; Sen, Nazan; Mutlu, Pinar; Yilmaz, UlkuItem Relationship between chest CT findings and clinical conditions of COVID-19: A multicentre experience(2021) Akcay, Sule; Erol, Cigdem; Hekimoglu, KorayItem Incidence and Immunologic Analysis of Coronavirus Disease (COVID-19) in Hemodialysis Patients: A Single-Center Experience(2020) Arslan, Hande; Musabak, Ugur; Soy, Ebru H. Ayvazoglu; Azap, Ozlem Kurt; Sayin, Burak; Akcay, Sule; Haberal, K. Murat; Akdur, Aydincan; Yildirim, Sedat; Haberal, Mehmet; 0000-0001-8287-6572; 0000-0003-1511-7634; 0000-0002-5735-4315; 0000-0002-0993-9917; 0000-0002-8726-3369; 0000-0002-3171-8926; 0000-0002-8360-6459; 0000-0002-3462-7632; 0000-0002-8211-4065; 32519618; J-3707-2015; AAU-1810-2020; AAF-4610-2019; AAC-5566-2019; AAA-3068-2021; AAK-4089-2021; AAB-5175-2021; AAJ-8097-2021; R-9398-2019Objectives: COVID-19 is a great threat to the modern world and significant threat to immunocompromised patients, including patients with chronic renal failure. We evaluated COVID-19 incidence among our hemodialysis patients and investigated the most probable immune mechanisms against COVID-19. Materials and Methods: Baskent University has 21 dialysis centers across Turkey, with 2420 patients on hemodialysis and 30 on peritoneal dialysis. Among these, we retrospectively evaluated 602 patients (257 female/345 male) with chronic renal failure receiving hemodialysis as renal replacement therapy; 7 patients (1.1%) were infected with SARS-CoV-2. We retrospectively collected patient demographic characteristics, clinical data, and immunological factors affecting the clinical course of the disease. We divided patients into groups and included 2 control groups ( individuals with normal renal functions): group I included COVID-19-positive patients with normal renal function, group II included COVID-19-positive hemodialysis patients, group III included COVID-19-negative hemodialysis patients, and group IV included COVID-19-negative patients with normal renal function. Lymphocyte subsets in peripheral blood and typing of human leukocyte antigens were analyzed in all groups, with killer cell immunoglobulin-like receptor genes analyzed only in COVID-19-positive patients and healthy controls. Results: No deaths occurred among the 7 COVID-19-positive hemodialysis patients. Group I patients were significantly older than patients in groups II and III ( P = .039, P = .030, respectively) but not significantly different from group IV (P = .060). Absolute counts of natural killer cells in healthy controls were higher than in other groups (but not significantly). Activated T cells were significantly increased in both COVID-19-positive groups versus COVID-19-negative groups. Groups showed significant differences in C and DQ loci with respect to distribution of alleles in both HLA classes. Conclusions: Although immunocompromised patients are at greater risk for COVID-19, we found lower COVID-19 incidence in our hemodialysis patients, which should be further investigated in in vitro and molecular studies.Item SMOKING INCREASES LUNG RELATED COMPLICATIONS AND OVERALL MORTALITY IN KIDNEY TRANSPLANT PATIENTS(2019) Esendagli, Dorina; Soy, Ebru H. Ayvazoglu; Kupeli, Elif; Akcay, Sule; Torgay, Adnan; Moray, Gokhan; Haberal, Mehmet; 0000-0002-0993-9917; AAC-5566-2019