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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Author: search.filters.author.Okur, Hacer Kuzu

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    The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients
    (W B SAUNDERS CO LTD, 2021-01-01) Kokturk, Nurdan; Babayigit, Cenk; Kul, Seval; Cetinkaya, Pelin Duru; Nayci, Sibel Atis; Baris, Serap Argun; Karcioglu, Oguz; Aysert, Pinar; Irmak, Ilim; Yuksel, Aycan Akbas; Sekibag, Yonca; Toprak, Oya Baydar; Azak, Emel; Mulamahmutoglu, Sait; Cuhadaroglu, Caglar; Demirel, Aslihan; Kerget, Bugra; Ketencioglu, Burcu Baran; Ozger, Hasan Selcuk; Ozkan, Gulcihan; Ture, Zeynep; Ergan, Begum; Oguz, Vildan Avkan; Kilinc, Oguz; Ercelik, Merve; Ciftci, Tansu Ulukavak; Alici, Ozlem; Temel, Esra Nurlu; Ataoglu, Ozlem; Aydin, Asena; Bahcetepe, Dilek Cetiner; Gullu, Yusuf Taha; Fakili, Fusun; Deveci, Figen; Kose, Neslihan; Tor, Muge Meltem; Gunluoglu, Gulsah; Altin, Sedat; Turgut, Teyfik; Tuna, Tibel; Ozturk, Onder; Dikensoy, Oner; Gulhan, Pinar Yildiz; Basyigit, Ilknur; Boyaci, Hasim; Oguzulgen, I. Kivilcim; Borekci, Sermin; Gemicioglu, Bilun; Bayraktar, Firat; Elbek, Osman; Hanta, Ismail; Okur, Hacer Kuzu; Sagcan, Gulseren; Uzun, Oguz; Akgun, Metin; Altinisik, Goksel; Dursun, Berna; Edis, Ebru Cakir; Gulhan, Erkmen; Eyuboglu, Fusun Oner; Gultekin, Okkes; Havlucu, Yavuz; Ozkan, Metin; Coskun, Aysin Sakar; Sayiner, Abdullah; Kalyoncu, Ali Fuat; Itil, Oya; Bayram, Hasan
    The COVID-19-related death rate varies between countries and is affected by various risk factors. This multi-center registry study was designed to evaluate the mortality rate and the related risk factors in Turkey. We retrospectively evaluated 1500 adults with COVID-19 from 26 centers who were hospitalized between March 11 and July 31, 2020. In the study group, 1041 and 459 cases were diagnosed as definite and highly probable cases, respectively. There were 993 PCR-positive cases (66.2\%). Among all cases, 1144 (76.3\%) were diagnosed with non-severe pneumonia, whereas 212 (14.1\%) had severe pneumonia. Death occurred in 67 patients, corresponding to a mortality rate of 4.5\% (95\% CI:3.5-5.6). The univariate analysis demonstrated that various factors, including male sex, age >= 65 years and the presence of dyspnea or confusion, malignity, chronic obstructive lung disease, interstitial lung disease, immunosuppressive conditions, severe pneumonia, multiorgan dysfunction, and sepsis, were positively associated with mortality. Favipiravir, hydroxychloroquine and azithromycin were not associated with survival. Following multivariate analysis, male sex, severe pneumonia, multiorgan dysfunction, malignancy, sepsis and interstitial lung diseases were found to be independent risk factors for mortality. Among the biomarkers, procalcitonin levels on the 3rd-5th days of admission showed the strongest associations with mortality (OR: 6.18
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    Detection of reactive oxygen metabolites in malignant and adjacent normal tissues of patients with lung cancer
    (BMC, 2013-01-01) Okur, Hacer Kuzu; Yuksel, Meral; Lacin, Tunc; Baysungur, Volkan; Okur, Erdal
    Background: Different types of reactive oxygen metabolites (ROMs) are known to be involved in carcinogenesis. Several studies have emphasized the formation of ROMs in ischemic tissues and in cases of inflammation. The increased amounts of ROMs in tumor tissues can either be because of their causative effects or because they are produced by the tumor itself. Our study aimed to investigate and compare the levels of ROMs in tumor tissue and adjacent lung parenchyma obtained from patients with lung cancer. Methods: Fifteen patients (all male, mean age 63.6 +/- 9 years) with non-small cell lung cancer were enrolled in the study. All patients were smokers. Of the patients with lung cancer, twelve had epidermoid carcinoma and three had adenocarcinoma. During anatomical resection of the lung, tumor tissue and macroscopically adjacent healthy lung parenchyma (control) that was 5 cm away from the tumor were obtained. The tissues were freshly frozen and stored at -20 degrees C. The generation of ROMs was monitored using luminol- and lucigenin-enhanced chemiluminescence (CL) techniques. Results: Both luminol (specific for. OH, H2O2, and HOCl-) and lucigenin (selective for O-2(center dot)) CL measurements were significantly higher in tumor tissues than in control tissues (P < 0.001). Luminol and lucigenin CL measurements were 1.93 +/- 0.71 and 2.5 +/- 0.84 times brighter, respectively, in tumor tissues than in the adjacent parenchyma (P = 0.07). Conclusion: In patients with lung cancer, all ROM levels were increased in tumor tissues when compared with the adjacent lung tissue. Because the increase in lucigenin concentration, which is due to tissue ischemia, is higher than the increase in luminol, which is directly related to the presence and severity of inflammation, ischemia may be more important than inflammation for tumor development in patients with lung cancer.