Risk of thrombosis in essential thrombocythemia according to three prediction models: an external validation study

Saelue, Pirun; Thongsukhsai, Paramee

doi:10.1007/s11239-023-02769-y

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Predictive modeling using baseline patient characteristics and hematological biomarkers, alone or in combination, is a cost-effective strategy to address this challenge non-invasively [ 8 – 10 ]. The excellent sensitivity of the D-dimer has made it the most commonly used parameter to screen for DVT in clinical practice [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Low-density lipoprotein cholesterol-to-lymphocyte count ratio (LLR) is a promising novel predictor of postoperative new-onset deep vein thrombosis following open wedge high tibial osteotomy: a propensity score-matched analysis

Guo,

Li,

et al. 2024

Thrombosis J

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Background The association of low-density lipoprotein cholesterol (LDL-C) and lymphocyte counts with the development of deep vein thrombosis (DVT) has been demonstrated in many fields but remains lacking in open wedge high tibial osteotomy (OWHTO). This study aimed to assess the predictive value of LDL-C to lymphocyte count ratio (LLR) in screening for postoperative new-onset DVT. Methods Clinical data were retrospectively collected from patients who underwent OWHTO between June 2018 and May 2023. The limited restricted cubic spline (RCS) was conducted to evaluate the nonlinear relationship between LLR and the risk of postoperative new-onset DVT. The receiver operating characteristic (ROC) curves were plotted and the predictive value of biomarkers was assessed. After adjusting for intergroup confounders by propensity score matching, the univariate logistic regression was applied to assess the association between LLR and DVT. Results 1293 eligible patients were included. RCS analysis showed a linear positive correlation between LLR and the risk of DVT (P for overall = 0.008). We identified LLR had an area under the curve of 0.607, accuracy of 74.3%, sensitivity of 38.5%, and specificity of 80.7%, and LLR > 1.75 was independently associated with a 1.45-fold risk of DVT (95% CI: 1.01–2.08, P = 0.045). Furthermore, significant heterogeneities were observed in the subgroups of age, BMI, diabetes mellitus, hypertension, Kellgren-Lawrence grade, the American Society of Anesthesiologists (ASA) score, and intraoperative osteotomy correction size. Conclusion LLR is a valuable biomarker for predicting postoperative new-onset DVT in patients with OWHTO, and routine screening is expected to yield positive benefits.

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Section: Introductionmentioning

confidence: 99%

Low-density lipoprotein cholesterol-to-lymphocyte count ratio (LLR) is a promising novel predictor of postoperative new-onset deep vein thrombosis following open wedge high tibial osteotomy: a propensity score-matched analysis

Guo,

Li,

et al. 2024

Thrombosis J

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“…While valid, the revised IPSETthrombosis could be further improved, as it lacks predictive capability for venous thrombosis and may lack discrimination in certain populations. 4 There is a growing interest in managing cardiovascular risk factors, including chronic kidney disease. 5 The more substantial the refinements to the IPSET-thrombosis score become, the more urgent is the need to develop differentiated management strategies.…”

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confidence: 99%

“…The prognosis score was further refined, and the revised IPSET‐thrombosis score, which stratifies patients into four risk groups, 3 is now widely used in clinical practice. While valid, the revised IPSET‐thrombosis could be further improved, as it lacks predictive capability for venous thrombosis and may lack discrimination in certain populations 4 . There is a growing interest in managing cardiovascular risk factors, including chronic kidney disease 5 .…”

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confidence: 99%

Sailing in deceptive calm: Navigating the undercurrents of essential thrombocythaemia

Hashimoto,

Lucchesi

2024

Br J Haematol

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The discovery of driver mutations in myeloproliferative neoplasms has significantly contributed to the management of patients with essential thrombocythaemia (ET). High‐quality evidence has started to pave the way for targeted therapy. The review by Ferrer‐Marín et al. further advances this discussion, highlighting how molecular profiling, including non‐driver gene mutations, is set to revolutionize personalized treatment approaches for ET patients.Commentary on: Ferrer‐Marín et al. Essential thrombocythemia: a contemporary approach with new drugs on the horizon. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19403.

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Thrombotic Prediction Model Based on Epigenetic Regulator Mutations in Essential Thrombocythemia Patients Using Survival Analysis in Recurrent Events

Saelue,

Sinthujaroen,

Suwiwat

et al. 2024

Clin Appl Thromb Hemost

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Introduction Essential thrombocythemia (ET) involves the proliferation of megakaryocytes and platelets and is associated with an increased risk of thrombosis. We aimed to evaluate thrombotic risks in patients with epigenetic regulator mutations and generate a model to predict thrombosis in ET. Materials and Methods This cohort study enrolled patients aged > 15 years diagnosed with ET at the Songklanakarind Hospital between January 2002 and December 2019. Twenty-five targeted gene mutations, including somatic driver mutations ( JAK2, CALR, MPL), epigenetic regulator mutations ( TET2, DNMT3A, IDH1, IDH2, TET2, ASXL1, EZH2, SF3B1, SRSF2) and other genes relevant to myeloid neoplasms, were identified using next-generation sequencing. Thrombotic events were confirmed based on clinical condition and imaging findings, and thrombotic risks were analyzed using five survival models with the recurrent event method. Results Ninety-six patients were enrolled with a median follow-up of 6.91 years. Of these, 15 patients experienced 17 arterial thrombotic events in total. Patients with JAK2 mutation and IDH1 mutation had the highest frequency of thrombotic events with somatic driver mutations (17.3%) and epigenetic regulator mutations (100%). The 10-year thrombosis-free survival rate was 81.3% (95% confidence interval: 72.0-91.8%). IDH1 mutation was a significant factor for thrombotic risk in the multivariate analysis for all models. The Prentice, William, and Peterson (PWP) gap-time model was the most appropriate prediction model. Conclusions The PWP gap-time model was a good predictive model for thrombotic risk in patients with ET. IDH1 mutation was significant risk factors for thrombosis; however, further studies with a larger sample size should confirm this and provide more insight.

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Risk of thrombosis in essential thrombocythemia according to three prediction models: an external validation study

Cited by 3 publications

References 35 publications

Low-density lipoprotein cholesterol-to-lymphocyte count ratio (LLR) is a promising novel predictor of postoperative new-onset deep vein thrombosis following open wedge high tibial osteotomy: a propensity score-matched analysis

Low-density lipoprotein cholesterol-to-lymphocyte count ratio (LLR) is a promising novel predictor of postoperative new-onset deep vein thrombosis following open wedge high tibial osteotomy: a propensity score-matched analysis

Sailing in deceptive calm: Navigating the undercurrents of essential thrombocythaemia

Thrombotic Prediction Model Based on Epigenetic Regulator Mutations in Essential Thrombocythemia Patients Using Survival Analysis in Recurrent Events

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