ABSTRACT
Background: The mortality rate of cancer patients diagnosed with COVID-19 infection has reached 25%. The time from symptom onset to admission to the intensive care unit (ICU) was on average 10 days, with approximately 26% of patients requiring ICU admission. A higher mortality attributed to COVID-19 was seen in older patients, patients with certain cancer types, and patients with a higher Charslon comorbidity score. Moreover, male sex and leukopenia at diagnosis were associated with an increased risk of worse clinical outcomes. Furthermore, a study done at Memorial Sloan Kettering showed that patients with hematological malignancies had a worse prognosis than those with solid tumors. Our aim is to identify the predictive factors for ICU admission in the setting of positive COVID-19 infection in cancer patients. Differences in prognosis were compared between cancer and non-cancer patients admitted to the ICU due to COVID-19 infection. We also compared the overall outcome between patients with solid cancers and hematologic malignancies. Methods: This is a single institution retrospective study based on chart review analysis conducted at the American University of Beirut Medical Center (AUBMC). 248 patients were diagnosed with COVID-19 from 1 January 2020 to 31 December 2021. The patient groups were (1) all cancer patients admitted to the COVID unit, (2) all cancer patients admitted to ICU, and (3) all other patients without cancer admitted to the ICU. The main outcomes were ICU admission and mortality. Results: 173 cancer patients were admitted to our institution for the management of COVID-19 with a mean age of 63 years. 52 patients (30%) required ICU admission and 50 patients (29%) died during hospital stay or 1 month following discharge. The time from symptom onset to ICU admission and death were 12.8 and 35 days, respectively. Patients admitted to the ICU were more likely to have anemia (Hb < 8 g/dL) and thrombocytopenia (< 50,000/ mm3) on admission (p = 0.001). Age, male sex and history of smoking, diabetes or cardiopulmonary diseases were not associated with greater risk of ICU admission or death. Among cancer patients, those with uncontrolled disease at the onset of COVID-19 had greater risk of death from COVID-19 (p = 0.001). Cancer type, number of lines of treatment, history of radiation to the chest, recent cytotoxic therapy, and neutropenia were not associated with ICU admission or death from COVID-19. There was no statistical significance in mortality or disease progression between patients with solid or hematologic malignancies. Conclusions: Our data reaffirms previously reported findings of high mortality in cancer patients who contract COVID-19. In particular, patients with anemia, thrombocytopenia, and uncontrolled disease at diagnosis had unfavorable outcomes. Contrary to the literature, age, male sex, cancer type, and neutropenia were not predictive factors for mortality in cancer patients in the setting of COVID-19 infections.
ABSTRACT
BACKGROUND: Coagulopathy is a well-recognized complication in patients with coronavirus disease 2019 (COVID-19). Pulmonary embolism (PE) has substantial morbidity and mortality if the diagnosis is missed or the management is delayed. Computed tomography pulmonary angiography (CT-PA) is the imaging modality of choice for PE. Therefore, this study aimed to investigate the positive rate of CT-PA for PE among patients with COVID-19. METHODS: We conducted a retrospective study examining the diagnostic yield of CT-PA in patients with confirmed COVID-19 and compared it with that in patients without COVID-19. The study included all adult patients with confirmed COVID-19 who presented from June 2020 to June 2021. RESULTS: The study included 316 patients, including 158 patients with COVID-19, who underwent CT-PA for ruling out PE. Overall, 76 patients were found to have PE on the CT-PA scan, yielding a positive rate of 24.1%, with a significant difference between patients with COVID-19 (8.2%) and those without COVID-19 (39.9%). Further, 138 (87.3%) patients with COVID-19 had elevated D-dimer levels compared with 34 (21.5%) patients without COVID-19. A multivariable regression analysis model revealed that the smoking status (odds ratio [OR] = 1.94; 95% confidence interval [CI]: 1.4-3.8) and obesity (OR = 4.1; 95% CI: 1.5-8.9) were independent predictors of PE among patients with COVID-19. However, the elevated D-dimer level was not significantly associated with PE among patients with COVID-19 (OR = 0.7; 95% CI: 0.4-1.8). CONCLUSION: The study found that the positive rate of CT-PA for PE was lower among patients with PE indicating probable overutilization of investigation in these patients. Additionally, patients with COVID-19 had a higher proportion of elevated D-dimer levels that may be a contributor to the increased investigation for PE. Lastly, patients with COVID-19 who were current smokers had a higher tendency of having PE.