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Clinical Characteristics and Cause of Death Among Hospitalized Decedents With Cancer and COVID-19.
Reddy, Dereddi Raja; Cuenca, John A; Botdorf, Joshua; Muthu, Mayoora; Hanmandlu, Ankit; Wegner, Robert; Crommett, John; Gutierrez, Cristina; Rathi, Nisha; Sajith, Bilja; Knafl, Mark; Abbas, Hussein A; Woodman, Scott E; Nates, Joseph L.
  • Reddy DR; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Cuenca JA; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX; Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Botdorf J; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Muthu M; Department of Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Hanmandlu A; McGovern School of Medicine, The University of Texas Health Science Center, Houston, TX.
  • Wegner R; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Crommett J; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Gutierrez C; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Rathi N; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Sajith B; Acute Care Services, The University of Texas MD Anderson Cancer Center, Houston, TX; Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Knafl M; Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Abbas HA; Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Woodman SE; Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Genomics Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX.
  • Nates JL; Department of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX; Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, The University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address: jlnates@mdanderson.org.
Mayo Clin Proc ; 98(3): 451-457, 2023 03.
Article in English | MEDLINE | ID: covidwho-2277982
ABSTRACT
There is scant information on the clinical progression, end-of-life decisions, and cause of death of patients with cancer diagnosed with COVID-19. Therefore, we conducted a case series of patients admitted to a comprehensive cancer center who did not survive their hospitalization. To determine the cause of death, 3 board-certified intensivists reviewed the electronic medical records. Concordance regarding cause of death was calculated. Discrepancies were resolved through a joint case-by-case review and discussion among the 3 reviewers. During the study period, 551 patients with cancer and COVID-19 were admitted to a dedicated specialty unit; among them, 61 (11.6%) were nonsurvivors. Among nonsurvivors, 31 (51%) patients had hematologic cancers, and 29 (48%) had undergone cancer-directed chemotherapy within 3 months before admission. The median time to death was 15 days (95% confidence interval [CI], 11.8 to 18.2). There were no differences in time to death by cancer category or cancer treatment intent. The majority of decedents (84%) had full code status at admission; however, 53 (87%) had do-not-resuscitate orders at the time of death. Most deaths were deemed to be COVID-19 related (88.5%). The concordance between the reviewers for the cause of death was 78.7%. In contrast to the belief that COVID-19 decedents die because of their comorbidities, in our study only 1 of every 10 patients died of cancer-related causes. Full-scale interventions were offered to all patients irrespective of oncologic treatment intent. However, most decedents in this population preferred care with nonresuscitative measures rather than full support at the end of life.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hematologic Neoplasms / COVID-19 / Neoplasms Type of study: Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hematologic Neoplasms / COVID-19 / Neoplasms Type of study: Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2023 Document Type: Article