2020
DOI: 10.2139/ssrn.3608097
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Clinical Course and Risk Factors for Mortality from COVID-19 in Patients with Hematological Malignancies

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Cited by 2 publications
(4 citation statements)
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“…These variations are different from case to case and level of the disease severity. Neutropenia has been previously reported in about 35%-85% of patients and was the most common blood count abnormality [10][11][12] . The main objective of this research was to evaluate the variations of CBC levels of COVID-19 patients with the disease severity.…”
Section: ~ 147 ~mentioning
confidence: 94%
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“…These variations are different from case to case and level of the disease severity. Neutropenia has been previously reported in about 35%-85% of patients and was the most common blood count abnormality [10][11][12] . The main objective of this research was to evaluate the variations of CBC levels of COVID-19 patients with the disease severity.…”
Section: ~ 147 ~mentioning
confidence: 94%
“…Neutrophils are the most characteristic cell type among the white blood cells and are an important component of the immune system. Except for clinical symptoms and pulmonary computed tomography (CT) findings, most confirmed COVID-19 patients revealed laboratory fluctuations in different serological parameters, including renal and liver function tests, coagulation parameters, and inflammatory, biochemical and hemocytometric parameters [10,11] . To show the prognosis and hyper inflammation state, a combination of laboratory tests has been evaluated.…”
Section: ~ 147 ~mentioning
confidence: 99%
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“…2 Furthermore, the risk of adverse outcomes associated with COVID-19 (eg, death or requiring ventilation) has not been found to be higher in recent large studies of patients with cancer in US, European, and hematological malignancy cohorts; however, the data are still evolving. [3][4][5][6] Another challenge for the comprehensive modeling of RRs in cancer treatment settings is the myriad combinations of treatment modalities, schedules, clinic visit patterns, and associations between specific drugs and infection susceptibility as well as the receipt of multimodality treatment plans among many patients. Hartman et al 1 have considered the risks of several discrete categories of treatment, but the complexities of cancer care make it almost impossible to tailor these assumptions to all cancer patients.…”
mentioning
confidence: 99%