External validation of a novel electronic risk score for cancer-associated thrombosis in a comprehensive cancer center.
Ang LiGiordana De Las PozasClark R AndersenChijioke C NzeKaty M ToaleEmily M MilnerNathanael R FillmoreElizabeth Yu ChiaoCristhiam Rojas HernandezMichael H KrollKelly W MerrimanChristopher R FlowersPublished in: American journal of hematology (2023)
Venous thromboembolism (VTE) is a significant complication for cancer patients undergoing systemic therapy. We performed an independent external validation for a recently derived and validated a novel electronic health record (EHR) VTE risk score in a comprehensive cancer center. Adult patients with incident cancer diagnoses were identified from MD Anderson Cancer Center Tumor Registry 1/2017-1/2021. Baseline covariates extracted at the time of first-line systemic therapy included demographics, cancer site/histology, stage, treatment, complete blood count, body mass index, recent prolonged hospitalization, and history of VTE or paralysis. VTE was ascertained using an institution-specific natural language processing radiology algorithm (positive predictive value of 94.8%). The median follow-up for 21 142 cancer patients was 8.1 months. There were 1067 (5.7%) VTE within 6 months after systemic therapy. The distribution of the novel score for 0-, 1, 2, 3, 4, 5+ was 5661, 3558, 3462, 3489, 2918, and 2054; while the corresponding 6-month VTE incidence was 1.3%, 3.1%, 5.4%, 7.3%, 9.3%, and 13.8%, respectively (c statistic 0.71 [95% CI 0.69-0.72] with excellent calibration). In comparison, the Khorana score had a c statistic of 0.64 [95% CI 0.62-0.65]. The two risk scores had 80% concordance; the novel score reclassified 20% of Khorana score (3530 low-to-high with 9.0% VTE; 734 high-to-low with 3.4% VTE) and led to a 25% increment in VTEs captured in the high-risk group. In conclusion, the novel score demonstrated consistent discrimination and calibration across cohorts with heterogenous demographics. It could become a new standard to select high-risk populations for clinical trials and VTE monitoring.
Keyphrases
- venous thromboembolism
- papillary thyroid
- direct oral anticoagulants
- squamous cell
- clinical trial
- electronic health record
- body mass index
- patients undergoing
- cardiovascular disease
- stem cells
- randomized controlled trial
- machine learning
- artificial intelligence
- lymph node metastasis
- young adults
- weight loss
- risk factors
- bone marrow
- clinical decision support
- combination therapy
- deep learning