Background Coronavirus disease 2019 has quickly turned into a global pandemic with close to 5 million cases and more than 320,000 deaths. Cancer patients constitute a group that is expected to be at risk and poor prognosis in COVID pandemic. We aimed to investigate how cancer patients are affected by COVID-19 infection, its clinical course and the factors affecting mortality. Methods In our single-center retrospective study, we included cancer patients with laboratory confirmed COVID-19 in our hospital. Demographic, clinical, treatment, and laboratory data were obtained from electronic medical records. Logistic regression methods were used to investigate risk factors associated with in-hospital death. Results In the hospital, 4489 patients were hospitalized with COVID infection and 77 were cancer patients. The mean age of cancer patients was 61.9 ± 10.9 and 44 of them were male (62%). While the mortality rate in non-cancer patients was 1.51% (n = 68), this rate was significantly higher in cancer patients, 23.9% (n = 17). The stage of the disease, receiving chemotherapy in the last 30 days also lymphopenia, elevated troponin I, d-dimer, CRP, and CT findings were associated with severe disease and mortality. Severe lung involvement (OR = 22.9, p = 0.01) and lymphopenia (OR = 0.99, p = 0.04) are the most important factors influencing survival in logistic regression. Conclusions The disease is more severe in cancer patients and mortality is significantly higher than non-cancer patients. These data show that it may be beneficial to develop dynamic prevention, early diagnosis and treatment strategies for this vulnerable group of patients who are affected by the infection so much.

INTRODUCTION:The novel coronavirus disease (COVID-19) pandemic has had a profound global impact economically, socially, and in many other areas. As vaccines are developed and introduced, their effect on the disease on both, the global and individual scale is a subject of intense curiosity. This study aimed to evaluate the relationship between risk factors for hospitalization, disease severity, and vaccination status in COVID-19 inpatients in a pandemic hospital. METHODOLOGY: Patients hospitalized for COVID-19 between June and September 2021 were retrospectively analyzed in three groups: unvaccinated, incompletely vaccinated, and fully vaccinated. Disease severity was classifi ed as moderate, severe, or critical according to World Health Organization criteria, and mortality risk factors and the prognostic effect of vaccination were analyzed. RESULTS: The study included 486 patients, 228 women (46.9 %) and 258 men (53.1 %), with a mean age of 55.4 ± 16.5 years. Of these, 264 patients (54.3 %) were unvaccinated, 147 (30.2 %) were incompletely vaccinated, and 75 (15.4 %) were fully vaccinated. Older age, higher Charlson Comorbidity Index, greater disease severity, and being unvaccinated or incompletely vaccinated were associated with higher mortality. CONCLUSIONS: The results of our study indicate that age, disease severity, comorbidities, and vaccination status were factors affecting COVID-19 mortality. Our fi ndings support that full vaccination reduces COVID-19 -related mortality rates, disease severity, and length of hospital stay. However, large-scale studies with larger patient populations are needed (Tab. 2, Ref. 22).

INTRODUCTION: In COVID-19 patients, the determination of the relationship between elevated D-dimer level and prognosis and the determination of thrombosis formation in the early stages of the disease are very important. The aim of this study was to investigate the prognostic role of D-dimer levels based on presentation in patients hospitalized with the diagnosis of COVID-19. METHOD: The study was conducted on patients hospitalized with the diagnosis of laboratory-confi rmed COVID-19 between March 11 and April 20, 2020. Patients with diseases that could have caused an increase in D-dimer were excluded from the study. RESULTS: The evaluation was made across a total of 1,669 patients, comprising 782 (46.9 %) females and 887 (53.1 %) males. The effects of D-dimer, CRP, ferritin, and troponin on mortality were evaluated with Enter Logistic Regression Analysis, and the model was found to be signifi cant, with an explanatory coeffi cient of the model at a very good level of 91.3 %. The D-dimer scores were determined to be higher in patients who did not survive. The risk of mortality was seen to be 7.325-fold higher in cases with D-dimer measurement ≥0.5. CONCLUSION: The study results showed that the D-dimer test was an independent risk factor showing mortality in Ref. 27).

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