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Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group.
Sánchez Cánovas, Manuel; Fernández Garay, David; Gómez Martínez, Francisco; Brozos Vázquez, Elena; Lobo de Mena, Miriam; García Adrián, Silvia; Pacheco-Barcía, Vilma; Cacho Lavin, Diego; Martínez de Castro, Eva; Martín Fernández de Soignie, Ana Manuela; Martínez, Elia; Rúperez Blanco, Ana Belén; García Escobar, Ignacio; Salvador Coloma, Carmen; Blaya Boluda, Noel; Guirao García, María Esperanza; Gambín Arroniz, Mariano; Muñoz Martín, Andrés J.
  • Sánchez Cánovas M; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain. manuelsanchezcanovas@gmail.com.
  • Fernández Garay D; Hematology and Medical Oncology Service, Hospital Universitario José María Morales Meseguer, Murcia, Spain. manuelsanchezcanovas@gmail.com.
  • Gómez Martínez F; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Brozos Vázquez E; Medical Oncology Service, Complejo Hospital Costa del Sol, Marbella, Spain.
  • Lobo de Mena M; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • García Adrián S; Hematology and Medical Oncology Service, Hospital Universitario José María Morales Meseguer, Murcia, Spain.
  • Pacheco-Barcía V; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Cacho Lavin D; Medical Oncology Service, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain.
  • Martínez de Castro E; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Martín Fernández de Soignie AM; Medical Oncology Service, Hospital General Universitario de Valencia, Valencia, Spain.
  • Martínez E; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Rúperez Blanco AB; Medical Oncology Service, Hospital Universitario de Móstoles, Madrid, Spain.
  • García Escobar I; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Salvador Coloma C; Medical Oncology Service, Hospital Universitario de Torrejón, Madrid, Spain.
  • Blaya Boluda N; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Guirao García ME; Medical Oncology Service, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación IDIVAL, Santander, Spain.
  • Gambín Arroniz M; SEOM Cancer and Thrombosis Research Group (SEOM), Madrid, Spain.
  • Muñoz Martín AJ; Medical Oncology Service, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación IDIVAL, Santander, Spain.
Clin Transl Oncol ; 2023 Jun 10.
Article in English | MEDLINE | ID: covidwho-20242378
ABSTRACT

PURPOSE:

The CoVID-TE model was developed with the aim of predicting venous thrombotic events (VTE) in cancer patients with Sars-Cov-2 infection. Moreover, it was capable of predicting hemorrhage and mortality 30 days following infection diagnosis. The model is pending validation. METHODS/PATIENTS Multicenter retrospective study (10 centers). Adult patients with active oncologic disease/ antineoplastic therapy with Sars-Cov-2 infection hospitalized between March 1, 2020 and March 1. 2022 were recruited. The primary endpoint was to study the association between the risk categories of the CoVID-TE model and the occurrence of thrombosis using the Chi-Square test. Secondary endpoints were to demonstrate the association between these categories and the occurrence of post-diagnostic Sars-Cov-2 bleeding/ death events. The Kaplan-Meier method was also used to compare mortality by stratification.

RESULTS:

263 patients were enrolled. 59.3% were men with a median age of 67 years. 73.8% had stage IV disease and lung cancer was the most prevalent tumor (24%). A total of 86.7% had an ECOG 0-2 and 77.9% were receiving active antineoplastic therapy. After a median follow-up of 6.83 months, the incidence of VTE, bleeding, and death 90 days after Sars-Cov-2 diagnosis in the low-risk group was 3.9% (95% CI 1.9-7.9), 4.5% (95% CI 2.3-8.6), and 52.5% (95% CI 45.2-59.7), respectively. For the high-risk group it was 6% (95% CI 2.6-13.2), 9.6% (95% CI 5.0-17.9), and 58.0% (95% CI 45.3-66.1). The Chi-square test for trends detected no statistically significant association between these variables (p > 0.05). Median survival in the low-risk group was 10.15 months (95% CI 3.84-16.46), while in the high-risk group it was 3.68 months (95% CI 0.0-7.79). The differences detected were not statistically significant (p = 0.375).

CONCLUSIONS:

The data from our series does not validate of the CoVID-TE as a model to predict thrombosis, hemorrhage, or mortality in cancer patients with Sars-Cov-2 infection.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2023 Document Type: Article Affiliation country: S12094-023-03233-2

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2023 Document Type: Article Affiliation country: S12094-023-03233-2