A Comprehensive Study of the Epidemiology of Haematological Malignancies in North Queensland.

Background There is an absence of clinically relevant epidemiological data in regional Australia pertaining to haematological malignancies. Aim To determine the incidence and geographical variation of haematological malignancies in North Queensland using a clinically appropriate disease classification. Methods Retrospective, observational study of individual patient data records of all adults diagnosed with a haematological malignancy between 2005-2014 and residing within The Townsville Hospital Haematology catchment region. We report descriptive summaries, incidence rates and incidence-rate ratios of haematologic malignancies by geographic regions. Results 1581 haematological malignancies (69% lymphoid, 31% myeloid) were diagnosed over the 10-year study period. Descriptive data is presented for 58 major subtypes as per the WHO diagnostic classification of tumours of haematopoietic and lymphoid tissues. The overall median age at diagnosis was 66 years with a male predominance (60%). We demonstrate a temporal increase in the incidence of haematologic malignancies over the study period. We observed geographical variations in the age-standardised incidence rates per 100,000 ranging from 0.5 to 233.5. Our data suggests an increased incidence rate ratio for haematological malignancies in some postcodes within the Mackay area compared to other regions. Conclusion This study successfully reports on the incidence of haematological malignancies in regional Queensland using a clinically meaningful diagnostic classification system and identifies potential geographic hotspots. We advocate for such contemporary, comprehensive, and clinically meaningful epidemiological data reporting of blood cancer diagnoses in wider Australia. Such an approach will have significant implications toward developing appropriate data-driven management strategies and public health responses for haematological malignancies. This article is protected by copyright. All rights reserved.