Wos Açık Erişimli Yayınlar

Permanent URI for this collectionhttps://hdl.handle.net/11727/10754

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Author: search.filters.author.Dogan, Ali

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    Impact of COVID-19 on Outcomes of Patients with Hematologic Malignancies: A Multicenter, Retrospective Study
    (2022) Acar, Ibrahim Halil; Guner, Sebnem Izmir; Aslaner Ak, Muzeyyen; Gocer, Mesut; Ozturk, Erman; Atalay, Figen; Sincan, Gulden; Yikilmaz, Aysun Senturk; Ekinci, Omer; Ince, Idris; Gulturk, Emine; Demir, Nazli; Dogan, Ali; Ipek, Yildiz; Guvenc, Birol; https://orcid.org/0000-0003-4384-2913; 36425152
    Objectives: Patients with hematological malignancies have a high risk of mortality from coronavirus disease 2019 (COVID-19). This study aimed to investigate the impact of COVID-19 on mortality rates in patients with various hematological malignancies and to determine risk factors associated with all-cause mortality.Methods: A multicenter, observational retrospective analysis of patients with hematological malignancies infected with COVID-19 between July 2020 and December 2021 was performed. Demographic data, clinical characteristics, and laboratory parameters were recorded. Patients were grouped as non-survivors and survivors. All-cause mortality was the primary outcome of the study.Results: There were 569 patients with a median age of 59 years. Non-Hodgkin lymphoma (22.0%) and multiple myelomas (18.1%) were the two most frequent hematological malignancies. The all-cause mortality rate was 29.3%. The highest mortality rates were seen in patients with acute myeloid leukemia (44.3%), acute lymphoid leukemia (40.5%), and non-Hodgkin lymphoma (36.8%). The non-survivors were significantly older (p<0.001) and had more comorbidities (p<0.05). In addition, there were significantly more patients with low lymphocyte percentage (p<0.001), thrombocytopenia (p<0.001), and high CRP (p<0.001) in the non-survived patients. Age >= 65years (p=0.017), cardiac comorbidities (p=0.041), and continuation of ongoing active therapy for hematological cancer (p<0.001) were the independent risk factors for the prediction of mortality.Conclusions: In patients with hematological malignancies, coexistent COVID-19 leads to a higher mortality rate in elderly patients with more comorbidities. Acute myeloid and lymphoid leukemia and non-Hodgkin lymphoma have the highest mortality rates. Older age, cardiac diseases, and continuation of ongoing active therapy for hematological cancer are the independent risk factors for mortality in hematological malignancy patients with COVID-19.
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    Tremor onset with acute frontal infarct and disappearance with the second stroke
    (2015) Yerdelen, Deniz; Yetkinel, Selin; Dogan, Ali; 25864070
    Ischemic stroke associated movement disorders can be seen as the first sign of a stroke or as a delayed onset development. Tremor after a stroke is a rare finding among movement disorders. In addition to reports of tremor caused by cerebral infarction of varied locations, data on the disappearance of existing tremor following infarction is also available. In this report, we present a case with acute tremor in the contralateral hand following frontal cortical infarction, and disappearance of the tremor after the second infarction comprising large areas in the same hemisphere.
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    Parathyroid Hormone Levels in the Prediction of Ischemic Stroke Risk
    (2017) Dener, Sefik; Celik, Guner; Dogan, Ali; Ozturk, Serefnur; Kulaksizoglu, Sevsen; Ekmekci, Hakan; 0000-0002-7613-2240; 28115793; AAI-8932-2021
    Objective. It was examined whether PTH and 25-dihydroxyvitamin D(25(OH)D) levels, together or separately, are indicators of the risk of stroke. Materials and Methods. This prospective study was performed at two centers. In the study, 100 patients diagnosed with acute ischemic stroke and 100 control individuals in the same age range were examined. In addition to neurological examination, cranial imaging, extensive routine blood chemistry, PTH, and 25(OH) D levels were evaluated in all cases. Stroke risk factors were determined. Logistic regression was used for statistical analysis. Results. A total of 60 patients and 79 control individuals were included in the study. Different estimation models were designed in order to examine the relationship between PTH and 25(OH) D levels with stroke. According to modeling results, it was determined that the most effective predictor for risk of stroke was 25(OH) D levels, followed by hypertension and PTH levels, respectively. Conclusion. PTH and 25(OH) D levels together can make important contributions to determination of stroke risk, and further investigations are needed to understand this relationship more fully.