PubMed İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4810

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    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-9097-2021
    Aims 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.
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    Pathology associated with adherent perirenal fat and its clinical effect
    (2021) Ceyhan, Erman; Ileri, Fatih; Aki, Fazil Tuncay; Yazici, Mustafa Sertac; Karcaaltincaba, Musturay; Ertoy Baydar, Dilek; Bilen, Cenk Yucel; 0000-0001-8223-6399; 34120392; ABI-2513-2020
    Introduction The dissection of perirenal fat is of critical importance to kidney surgery and ease of dissection is more important when using minimally invasive approaches. This study aimed to determine the clinical, radiological, and pathological significance of adherent perirenal fat (APF). Materials and Methods This prospective study included 22 patients scheduled for partial nephrectomy and 40 patients for donor nephrectomy. Intraoperative fat dissection time was recorded, and the complexity of perirenal fat dissection was surgeon-classified as easy, moderate, and difficult. Perirenal fat and subcutaneous fat thickness were measured. Measurement of perirenal fat depth and the Hounsfield unit (HU) for both perirenal and subcutaneous fields were performed using computed tomography (CT) images. All specimens were submitted for histopatological analysis. Researchers in each arm were blinded to other researchers' data. Results Mean age of the patients was 51.3 +/- 12.7 years. Mean perirenal fat dissection time was 15.0 +/- 13.5 minutes. Patient demographics, BMI, nor occupational status differed between the 3 complexity of perirenal fat dissection groups. Radiological findings showed that there was a significant correlation between perirenal fat depth and complexity of perirenal fat dissection (P < .05), but not with HU measurements or subcutaneous fat thickness. Surgeon classification of the complexity of perirenal fat dissection was in accordance with the duration of dissection (P < .05). Perinephric fat contained more fibrous tissue in the patients with histologically proven APF than in those without (P < .05). Conclusions APF is a challenge during kidney surgery. Difficult dissection prolongs the duration of perirenal fat dissection and surgery. Perirenal fat thickness measured via preoperative CT might be used to predict APF.