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Impact of active cancer on COVID-19 survival: a matched-analysis on 557 consecutive patients at an Academic Hospital in Lombardy, Italy.
Bertuzzi, Alexia F; Ciccarelli, Michele; Marrari, Andrea; Gennaro, Nicolò; Dipasquale, Andrea; Giordano, Laura; Cariboni, Umberto; Quagliuolo, Vittorio Lorenzo; Alloisio, Marco; Santoro, Armando.
  • Bertuzzi AF; Oncology Unit, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Ciccarelli M; Respiratory Medicine Unit, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Marrari A; Oncology Unit, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Gennaro N; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
  • Dipasquale A; Department of Radiology, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Giordano L; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
  • Cariboni U; Department of Internal Medicine, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Quagliuolo VL; Department of Biostatistics, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Alloisio M; Thoracic Surgery Unit, Humanitas Clinical and Research Center-IRCCS, Pieve Emanuele, Italy.
  • Santoro A; Sarcoma, Melanoma and Rare Tumours Surgery Unit, Humanitas Clinical and Research Center-IRCCS, Pieve Emanuele, Italy.
Br J Cancer ; 125(3): 358-365, 2021 08.
Article in English | MEDLINE | ID: covidwho-1225503
ABSTRACT

BACKGROUND:

The impact of active cancer in COVID-19 patients is poorly defined; however, most studies showed a poorer outcome in cancer patients compared to the general population.

METHODS:

We analysed clinical data from 557 consecutive COVID-19 patients. Uni-multivariable analysis was performed to identify prognostic factors of COVID-19 survival; propensity score matching was used to estimate the impact of cancer.

RESULTS:

Of 557 consecutive COVID-19 patients, 46 had active cancer (8%). Comorbidities included diabetes (n = 137, 25%), hypertension (n = 284, 51%), coronary artery disease (n = 114, 20%) and dyslipidaemia (n = 122, 22%). Oncologic patients were older (mean age 71 vs 65, p = 0.012), more often smokers (20% vs 8%, p = 0.009), with higher neutrophil-to-lymphocyte ratio (13.3 vs 8.2, p = 0.046). Fatality rate was 50% (CI 95% 34.9;65.1) in cancer patients and 20.2% (CI 95% 16.8;23.9) in the non-oncologic population. Multivariable analysis showed active cancer (HRactive 2.26, p = 0.001), age (HRage>65years 1.08, p < 0.001), as well as lactate dehydrogenase (HRLDH>248mU/mL 2.42, p = 0.007), PaO2/FiO2 (HRcontinuous 1.00, p < 0.001), procalcitonin (HRPCT>0.5ng/mL 2.21, p < 0.001), coronary artery disease (HRyes 1.67, p = 0.010), cigarette smoking (HRyes 1.65, p = 0.041) to be independent statistically significant predictors of outcome. Propensity score matching showed a 1.92× risk of death in active cancer patients compared to non-oncologic patients (p = 0.013), adjusted for ICU-related bias. We observed a median OS of 14 days for cancer patients vs 35 days for other patients.

CONCLUSION:

A near-doubled death rate between cancer and non-cancer COVID-19 patients was reported. Active cancer has a negative impact on clinical outcome regardless of pre-existing clinical comorbidities.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 / Neoplasms Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Br J Cancer Year: 2021 Document Type: Article Affiliation country: S41416-021-01396-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 / Neoplasms Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Br J Cancer Year: 2021 Document Type: Article Affiliation country: S41416-021-01396-9