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Factors influencing access to specialised haematology units during acute myeloblastic leukaemia patient care: A population-based study in France.
Atsou, Kueshivi Midodji; Rachet, Bernard; Cornet, Edouard; Chretien, Marie-Lorraine; Rossi, Cédric; Remontet, Laurent; Roche, Laurent; Giorgi, Roch; Gauthier, Sophie; Girard, Stéphanie; Böckle, Johann; Wasse, Stéphane Kroudia; Rachou, Helene; Bouzid, Laila; Poncet, Jean-Marc; Orazio, Sébastien; Monnereau, Alain; Troussard, Xavier; Mounier, Morgane; Maynadie, Marc.
Afiliação
  • Atsou KM; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
  • Rachet B; UMR INSERM 1231, Université Bourgogne Franche-Comté, Dijon, France.
  • Cornet E; Inequalities in Cancer Outcomes Network, Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Chretien ML; Registre régional des hémopathies malignes de Basse-Normandie, CHU Caen-Normandie, Caen, France.
  • Rossi C; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
  • Remontet L; UMR INSERM 1231, Université Bourgogne Franche-Comté, Dijon, France.
  • Roche L; CHU Dijon Bourgogne, Service d'Hématologie Clinique, Dijon, France.
  • Giorgi R; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
  • Gauthier S; UMR INSERM 1231, Université Bourgogne Franche-Comté, Dijon, France.
  • Girard S; CHU Dijon Bourgogne, Service d'Hématologie Clinique, Dijon, France.
  • Böckle J; Pôle Santé Publique, Service de Biostatistique - Bio-informatique, Hospices Civils de Lyon, Lyon, France.
  • Wasse SK; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Université de Lyon, Université Lyon 1, CNRS, Villeurbanne, France.
  • Rachou H; Pôle Santé Publique, Service de Biostatistique - Bio-informatique, Hospices Civils de Lyon, Lyon, France.
  • Bouzid L; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Université de Lyon, Université Lyon 1, CNRS, Villeurbanne, France.
  • Poncet JM; SESSTIM, Sciences Économiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Hop Timone, BioSTIC, Biostatistique et Technologies de l'Information et de la, Communication, Aix Marseille Univ, APHM, INSERM, IRD, Marseille, France.
  • Orazio S; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
  • Monnereau A; UMR INSERM 1231, Université Bourgogne Franche-Comté, Dijon, France.
  • Troussard X; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
  • Mounier M; UMR INSERM 1231, Université Bourgogne Franche-Comté, Dijon, France.
  • Maynadie M; Registre des Hémopathies Malignes de la Côte-d'Or, CHU de Dijon Bourgogne, Dijon, France.
Cancer Med ; 12(7): 8911-8923, 2023 04.
Article em En | MEDLINE | ID: mdl-36710405
ABSTRACT

BACKGROUND:

The excess mortality observed in Acute Myeloblastic Leukaemia (AML) patients, partly attributed to unequal access to curative treatments, could be linked to care pathways.

METHODS:

We included 1039 AML incident cases diagnosed between 2012-2016 from the 3 French blood cancer registries (3,625,400 inhabitants). We describe patients according to age, the medical entry unit and access to the specialised haematology unit (SHU) during follow-up. Multivariate logistic regression model was done to determine the association between covariables and access to SHU. A total of 713 patients (69%) had access to SHU during care.

RESULTS:

The most common care pathway concerned referral from the general practitioner to SHU, n = 459(44%). The univariate analysis observed a downward trend for the most deprived patients. Patients who consulted in SHU were younger (66 years vs. 83, p < 0.001), and 92% had access to cytogenetic analysis (vs. 54%, p < 0.001). They also had less poor prognosis AML-subtypes (AML-MRC, t-AML/MDS and AML-NOS) (38% vs. 69%); 77% with de novo AML (vs. 67%, p < 0.003)], more favourable cytogenetic prognostic status (23% vs. 6%, p < 0.001), less comorbidities (no comorbidity = 55% vs. 34%, p < 0.001) and treatments proposed were curative 68% (vs. 5.3%, p < 0.001). Factors limiting access to SHU were age over 80 years (OR, 0.14; 95% CI, 0.04-0.38), severe comorbidities (OR, 0.39; 95% CI, 0.21-0.69), emergency unit referral (OR, 0.28; 95% CI, 0.18-0.44) and non-SHU referral (OR, 0.12; 95% CI, 0.07-0.18). Consultation in an academic hospital increased access to SHU by 8.87 times (95% CI, 5.64-14.2).

CONCLUSION:

The high proportion of access to cytogenetic testing and curative treatment among patients admitted to SHU, and the importance of early treatment in AML underlines the importance of access to SHU for both diagnosis and treatment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Hematologia Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Aged80 / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Hematologia Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Aged80 / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article