Development and internal validation of a model for predicting 60-day risk of invasive mould disease in patients with haematological malignancies - 11/05/19
Highlights |
• | We analysed 19 risk factors for invasive mould disease (IMD) in 1944 adult haematology patients. |
• | Seven risk factors at hospital admission differentiated patients who developed IMD with 85% accuracy. |
• | The risk model also identified patients with high risk of IMD despite “low risk” malignancies. |
• | Further validation and development of such models can support diagnostic /antifungal stewardship. |
Abstract |
Objective |
Our objective was to develop a model that predicts a patient's risk of developing invasive mould disease (IMD) within 60 days of admission for treatment of a haematological malignancy.
Methods |
We analysed 19 risk factors for IMD in a cohort of 1944 adult patients with haematological malignancies over 4127 admissions at a haematology referral centre in Northern Italy (2007-2016). We used a multivariable logistic regression to estimate the 60-day probability of developing probable or proven IMD. The model was internally validated using a bootstrap resampling procedure.
Results |
The prevalence of IMD was 3.3% (90 probable cases, 43 proven cases). Seven risk factors were retained in the final risk model: (1) uncontrolled malignancy, (2) high-risk chemotherapy regimen, (3) high-dose corticosteroids, (4) severe lymphopenia, (5) CMV reactivation or disease, (6) prolonged neutropenia, and (7) a history of previous IMD within 90 days. The model displayed good calibration and discrimination in both the derivation (aROC 0.85, 95% CI 0.84-0.86) and validation (aROC 0.83 95% CI 0.79-0.89) populations.
Conclusions |
Our model differentiated with 85% accuracy whether or not patients developed IMD within 60-days of admission. Individualized risk assessment, aided by validated prognostic models, could assist IMD management and improve antifungal stewardship.
Le texte complet de cet article est disponible en PDF.Graphical abstract |
Keywords : Invasive mould disease, Haematological malignancy, Risk model, Risk score, Invasive aspergillosis, Risk prediction
Plan
Vol 78 - N° 6
P. 484-490 - juin 2019 Retour au numéro
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