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Multidimensional assessment of patient condition and mutational analysis in peripheral blood, as tools to improve outcome prediction in myelodysplastic syndromes: A prospective study of the Spanish MDS group. | LitMetric

AI Article Synopsis

  • The International Prognostic Scoring System and its revised version (IPSS-R) are commonly used to assess patient prognosis in myelodysplastic syndromes (MDS), but they do not fully explain the differences in patient outcomes.
  • This study analyzed 200 MDS patients from 2006 to 2015, incorporating patient condition and genetic mutations alongside the IPSS-R to improve predictions for overall survival and the risk of leukemia.
  • Results showed that adding the Lee index (to evaluate patient condition) and genetic mutations significantly enhanced predictions for overall survival and leukemic progression, suggesting these factors are crucial for better assessing MDS outcomes.

Article Abstract

The International Prognostic Scoring System and its revised form (IPSS-R) are the most widely used indices for prognostic assessment of patients with myelodysplastic syndromes (MDS), but can only partially account for the observed variation in patient outcomes. This study aimed to evaluate the relative contribution of patient condition and mutational status in peripheral blood when added to the IPSS-R, for estimating overall survival and the risk of leukemic transformation in patients with MDS. A prospective cohort (2006-2015) of 200 consecutive patients with MDS were included in the study series and categorized according to the IPSS-R. Patients were further stratified according to patient condition (assessed using the multidimensional Lee index for older adults) and genetic mutations (peripheral blood samples screened using next-generation sequencing). The change in likelihood-ratio was tested in Cox models after adding individual covariates. The addition of the Lee index to the IPSS-R significantly improved prediction of overall survival [hazard ratio (HR) 3.02, 95% confidence interval (CI) 1.96-4.66, P < 0.001), and mutational analysis significantly improved prediction of leukemic evolution (HR 2.64, 1.56-4.46, P < 0.001). Non-leukemic death was strongly linked to patient condition (HR 2.71, 1.72-4.25, P < 0.001), but not to IPSS-R score (P = 0.35) or mutational status (P = 0.75). Adjustment for exposure to disease-modifying therapy, evaluated as a time-dependent covariate, had no effect on the proposed model's predictive ability. In conclusion, patient condition, assessed by the multidimensional Lee index and patient mutational status can improve the prediction of clinical outcomes of patients with MDS already stratified by IPSS-R.

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Source
http://dx.doi.org/10.1002/ajh.24813DOI Listing

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