Combined analysis of clinical and laboratory markers to predict the risk of venous thromboembolism in patients with IDH1 wild-type glioblastoma

Purpose We have combined analysis of clinical and laboratory markers to try to find an optimal model to predict venous thromboembolism in isocitrate dehydrogenase 1 (IDH1) wild-type glioblastoma (GBM) by a prospective research. Methods Patients with newly histologically confirmed IDH1 wild-type (IDH1wt) GBM were recruited for this study. Status of IDH1, PTEN, P53, BRAF, MGMT promoter methylation (MGMTp), and TERT promoter (TERTp) was determined using genetic sequencing through polymerase chain reaction (PCR). Amplification of EGFR was established through fluorescence in situ hybridization (FISH). Competing risk regression model was performed to calculate the risk of VTE. Clinical and laboratory parameters that were independently predicted risk of VTE were used to develop a risk assessment model (RAM). Results One hundred thirty-one patients with IDH1wt GBM were included in the present analysis. A total of 48/131 patients (36.6%) developed VTE. D-dimer, ECOG score, and EGFR amplification were suggested to be significantly associated with the VTE risk in multivariable analysis. High ECOG score (>2), high D-dimer (>1.6 mu g/ml), and EGFR amplification were used as the strongest independent predictors of increased risk of VTE. The cumulative incidence of VTE was 17.2% for patients with score 0 (n =29), 23.6% for patients with score 1 (n =55), and 63.8% for patients with score 2 (n = 35) or score 3 (n = 12) by application of a RAM. Conclusions In IDH1wt GBM patients, by applying a VTE risk assessment model, we could identify patients with a very high and low risk of VTE.

Automated summary

Applying a risk assessment model for VTE in IDH1wt GBM patients can identify those with high and low risk of VTE.