BACKGROUND: The International Prognostic Scoring System (IPSS) is the golden standard to assess prognosis in myelodysplastic syndromes (MDS). The aim of this analysis was to study age and gender as interacting variables for individualized prognostication. PATIENTS AND METHODS: In all, 897 patients with primary MDS treated with supportive care only were examined in a retrospective multicenter study. A Cox model was developed to determine the prognostic impact of age and gender on survival and to examine their modulating influence on IPSS results. Based on main effects and interactions of these variables, we established an individualized age- and gender-adapted scoring system to improve prognostication in MDS. RESULTS: While the risk of a patient in the IPSS is best represented by the values 0 (low), +1 (intermediate-1), +2 (intermediate-2), and +3 (high), these values were found to vary between -1.9 and +3.5 in the same patients when including age and gender. Whereas in low-risk MDS, male patients were found to have a less favorable survival, a particularly high risk (+3.5) was found in younger (< or = 66 years) high-risk female patients. CONCLUSION: The inclusion of age and gender and their respective interactions contribute to improved and individualized prognostication in MDS.
BACKGROUND: The International Prognostic Scoring System (IPSS) is the golden standard to assess prognosis in myelodysplastic syndromes (MDS). The aim of this analysis was to study age and gender as interacting variables for individualized prognostication. PATIENTS AND METHODS: In all, 897 patients with primary MDS treated with supportive care only were examined in a retrospective multicenter study. A Cox model was developed to determine the prognostic impact of age and gender on survival and to examine their modulating influence on IPSS results. Based on main effects and interactions of these variables, we established an individualized age- and gender-adapted scoring system to improve prognostication in MDS. RESULTS: While the risk of a patient in the IPSS is best represented by the values 0 (low), +1 (intermediate-1), +2 (intermediate-2), and +3 (high), these values were found to vary between -1.9 and +3.5 in the same patients when including age and gender. Whereas in low-risk MDS, male patients were found to have a less favorable survival, a particularly high risk (+3.5) was found in younger (< or = 66 years) high-risk female patients. CONCLUSION: The inclusion of age and gender and their respective interactions contribute to improved and individualized prognostication in MDS.
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Authors: Sonja Burgstaller; Peter Bettelheim; Otto Krieger; Sigrid Machherndl-Spandl; Thomas Nösslinger; Lisa Pleyer; Heinz Sill; Wolfgang R Sperr; Reinhard Stauder; Peter Valent; Michael Pfeilstöcker Journal: Wien Klin Wochenschr Date: 2014-11-25 Impact factor: 1.704
Authors: Reinhard Stauder; Friedrich Wimazal; Thomas Nösslinger; Otto Krieger; Wolfgang R Sperr; Heinz Sill; Michael Pfeilstöcker; Peter Valent Journal: Wien Klin Wochenschr Date: 2008 Impact factor: 1.704
Authors: Reda Z Mahfouz; Ania Jankowska; Quteba Ebrahem; Xiaorong Gu; Valeria Visconte; Ali Tabarroki; Pramod Terse; Joseph Covey; Kenneth Chan; Yonghua Ling; Kory J Engelke; Mikkael A Sekeres; Ramon Tiu; Jaroslaw Maciejewski; Tomas Radivoyevitch; Yogen Saunthararajah Journal: Clin Cancer Res Date: 2013-01-03 Impact factor: 12.531