OUP accepted manuscript

Impact of SARS-CoV-2 infection on patients with hematological malignancies: a retrospective study

OBJECTIVES

This study aimed to evaluate the characteristics of patients with hematological malignancies (HM) and SARS-CoV-2 infection and analyze the risk factors of their severity and mortality.

METHODS

A retrospective study including inpatients diagnosed HM and SARS-CoV-2 infection between December 2022 and February 2023 were conducted. Demographic information, medical history, comorbidities, diagnosis, treatment related information and outcomes were extracted from electronic medical database. The primary outcome of this study were the severity of SARS-CoV-2 infection and case-fatality rate. The clinical characteristic and outcomes of the patients were summarized and analyzed.

RESULTS

A total of 74 patients with HM and SARS-CoV-2 infection were included. Out of the total cases, 85.1% (63) had a mild /moderate SARS-CoV-2 infection, and 14.9% (11) were severe/ critical infection cases. A total of 8 deaths occurred in all cases for a case-fatality rate of 10.8%. Multivariate analysis identified patients with acute myeloid leukemia (AML) (P = 0.043, OR:5.274, 95%CI:1.053-26.407), primary hematological disease in active state (P = 0.005, OR:13.905, 95%CI:2.180-88.704) were independent risk factors for the severity of SARS-CoV-2 infection and patients with AML had 11.145-fold higher risk of non-survival (P = 0.020, OR:11.145, 95%CI:1.460-85.103) in comparison to the patients with other types of HM. There were no significant differences in the severity and case-fatality rate (P > 0.05) between the patients receiving chemotherapy drugs administration waiting <14 days and ≥14 days after negative SARS-CoV-2 testing.

CONCLUSION

The primary hematological disease in active state may be the main risk factor for negative outcome of the patents. Waiting 14 days for chemotherapy initiation after negative SARS-CoV-2 testing is unnecessary.

Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center

Introduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplastic therapies. Objective: To identify potential predictors of mortality of COVID-19 in cancer patients. Materials and methods: A retrospective and cross-sectional study was carried out in patients with clinical suspicion of COVID-19 who were confirmed for COVID-19 diagnosis by RT-PCR testing at the National Institute of Neoplastic Diseases between April and December 2020. Demographic, clinical, laboratory and radiological data were analyzed. Statistical analyses included area under the curve and univariate and multivariate logistic regression analyses. Results: A total of 226 patients had clinical suspicion of COVID-19, the diagnosis was confirmed in 177 (78.3%), and 70/177 (39.5%) died. Age, active cancer, leukocyte count ≥12.8 × 109/L, urea ≥7.4 mmol/L, ferritin ≥1,640, lactate ≥2.0 mmol/L, and lung involvement ≥35% were found to be independent predictors of COVID-19 mortality. Conclusion: Active cancer represents the main prognosis factor of death, while the role of cancer stage and type is unclear. Chest CT is a useful tool in the prognosis of death from COVID-19 in cancer patients. It is a challenge to establish the prognostic utility of laboratory markers as their altered values it could have either oncological or pandemic origins.

Assessing Unique Risk Factors for COVID-19 Complications Among Cancer Patients: A Multi-ethnic Cohort Study

A myriad of organ-specific complications have been observed with COVID-19. While racial/ethnic minorities have been disproportionately burdened by this disease, our understanding of the unique risk factors for complications among a diverse population of cancer patients remains limited. This is a multi-institutional, multi-ethnic cohort study evaluating COVID-19 complications among cancer patients. Patients with an invasive cancer diagnosis and confirmed SARS-CoV-2 infection were identified from March to November 2020. Demographic and clinical data were obtained and a multivariate logistic regression was employed to evaluate the impact of demographic and clinical factors on COVID-19 complications. The study endpoints were evaluated independently and included any complication, sepsis, pulmonary complications and cardiac complications. A total of 303 patients were evaluated, of whom 48% were male, 79% had solid tumors, and 42% were Hispanic/Latinx (Hispanic). Malignant hematologic cancers were associated with a higher risk of sepsis (OR 3.93 (95% CI 1.58–9.81)). Male patients had a higher risk of sepsis (OR 4.42 (95% CI 1.63–11.96)) and cardiac complications (OR 2.02 (95% CI 1.05–3.89)). Hispanic patients had a higher odds of any complication (OR 2.31 (95% CI 1.18–4.51)) and other race was associated with a higher odds of cardiac complications (OR 2.41 (95% CI 1.01–5.73)). Clinically, fever, cough, and ≥2 co-morbidities were independently significantly associated with any complication. This analysis evaluated covariates that can significantly predict a myriad of complications among a multi-ethnic cohort of cancer patients. The conclusions drawn from this analysis elucidate a mechanistic understanding of differential illness severity from COVID-19.