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Background: In this international multicenter study, we aimed to determine the independent risk factors associated with increased 30 day mortality and the impact of cancer and novel treatment modalities in a large group of patients with and without cancer with COVID-19 from multiple countries. Methods: We retrospectively collected de-identified data on a cohort of patients with and without cancer diagnosed with COVID-19 between January and November 2020 from 16 international centers. Results: We analyzed 3966 COVID-19 confirmed patients, 1115 with cancer and 2851 without cancer patients. Patients with cancer were more likely to be pancytopenic and have a smoking history, pulmonary disorders, hypertension, diabetes mellitus, and corticosteroid use in the preceding 2 wk (p≤0.01). In addition, they were more likely to present with higher inflammatory biomarkers (D-dimer, ferritin, and procalcitonin) but were less likely to present with clinical symptoms (p≤0.01). By country-adjusted multivariable logistic regression analyses, cancer was not found to be an independent risk factor for 30 day mortality (p=0.18), whereas lymphopenia was independently associated with increased mortality in all patients and in patients with cancer. Older age (≥65y) was the strongest predictor of 30 day mortality in all patients (OR = 4.47, p<0.0001). Remdesivir was the only therapeutic agent independently associated with decreased 30 day mortality (OR = 0.64, p=0.036). Among patients on low-flow oxygen at admission, patients who received remdesivir had a lower 30 day mortality rate than those who did not (5.9 vs 17.6%; p=0.03). Conclusions: Increased 30 day all-cause mortality from COVID-19 was not independently associated with cancer but was independently associated with lymphopenia often observed in hematolgic malignancy. Remdesivir, particularly in patients with cancer receiving low-flow oxygen, can reduce 30 day all-cause mortality. Funding: National Cancer Institute and National Institutes of Health.
Assuntos
COVID-19 , Linfopenia , Neoplasias , Humanos , COVID-19/complicações , COVID-19/terapia , Estudos Retrospectivos , SARS-CoV-2 , Sobrevivência , Fatores de Risco , Neoplasias/complicações , Neoplasias/epidemiologia , OxigênioRESUMO
Background: In this international multicenter study we aimed to determine the independent risk factors associated with increased 30-day mortality and the impact of novel treatment modalities in a large group of cancer and non-cancer patients with COVID-19 from multiple countries. Methods: We retrospectively collected de-identified data on a cohort of cancer and non-cancer patients diagnosed with COVID-19 between January and November 2020, from 16 international centers. Results: We analyzed 3966 COVID-19 confirmed patients, 1115 cancer and 2851 non-cancer patients. Cancer patients were more likely to be pancytopenic, and have a smoking history, pulmonary disorders, hypertension, diabetes mellitus, and corticosteroid use in the preceding two weeks (p≤0.01). In addition, they were more likely to present with higher inflammatory biomarkers (D-dimer, ferritin and procalcitonin), but were less likely to present with clinical symptoms (p≤0.01). By multivariable logistic regression analysis, cancer was an independent risk factor for 30-day mortality (OR 1.46; 95% CI 1.03 to 2.07; p=0.035). Older age (≥65 years) was the strongest predictor of 30-day mortality in all patients (OR 4.55; 95% CI 3.34 to6.20; p< 0.0001). Remdesivir was the only therapeutic agent independently associated with decreased 30-day mortality (OR 0.58; CI 0.39-0.88; p=0.009). Among patients on low-flow oxygen at admission, patients who received remdesivir had a lower 30-day mortality rate than those who did not (5.9% vs 17.6%; p=0.03). Conclusions: Cancer is an independent risk factor for increased 30-day all-cause mortality from COVID-19. Remdesivir, particularly in patients receiving low-flow oxygen, can reduce 30-day all-cause mortality. Condensed Abstract: In this large multicenter worldwide study of 4015 patients with COVID-19 that included 1115 patients with cancer, we found that cancer is an independent risk factor for increased 30-day all-cause mortality. Remdesivir is a promising treatment modality to reduce 30-day all-cause mortality.
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PURPOSE: Patient satisfaction has been recognized as an important variable affecting healthcare behavior. However, there are limited data on the relationship between doctor post-graduate year (PGY) status and patient satisfaction with provider interpersonal skills and humanistic qualities. The authors aims to assess this relationship using an American Board of Internal Medicine (ABIM) questionnaire. DESIGN/METHODOLOGY/APPROACH: Participants were: patients attending a primary care clinic at a large urban academic hospital; and physicians treating them. The survey questionnaire was the ABIM patient satisfaction instrument; ten questions pertaining to humanistic qualities and communication skills with responses from poor to excellent. Mann Whitney U test and multi-variable logistic regression analyses were used to explore score differences by PGY level. FINDINGS: The postgraduate year one (PGY1) had higher patient-satisfaction levels compared to PGY2/PGY3 residents. The PGY1 level residents were more likely to score in the 90th percentile and this remained constant even after adjusting for confounders. RESEARCH LIMITATIONS/IMPLICATIONS: The research was a single-center study and may have been subject to confounding factors such as patient personality types and a survey ceiling effect. The survey's cross-sectional nature may also be a potential limitation. Practical implications - Patient satisfaction varies significantly with PGY status. Though clinical skills may improve with increasing experience, findings imply that interpersonal and humanistic qualities may deteriorate. ORIGINALITY/VALUE: The study is the first to assess patient satisfaction with PGY status and provides evidence that advanced trainees may need support to keep their communication skills and humanistic qualities from deteriorating as stressors increase to ensure optimal patient satisfaction.