2026-10-07T10:14:25Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34054017 2026-10-02T04:41:41Z category_393 portal_316 item_type_3 month_year_10_2026

Table 1_Development and internal validation of a nomogram for estimating concurrent superficial vein thrombosis at presentation in patients with lower extremity varicose veins.docx Lei Jiao (780172) Zhen Zhou (184390) Hongsheng Yin (25161669) Foetal Development and Medicine feature selection logistic regression lower extremity varicose veins nomogram superficial vein thrombosis Background<p>Superficial vein thrombosis (SVT) is a clinically relevant complication of lower extremity varicose veins. This study aimed to develop and internally validate a parsimonious nomogram for estimating the probability of concurrent SVT at presentation.</p>Methods<p>This single-center retrospective study included 423 patients with lower extremity varicose veins, including 91 with SVT. Twenty-four candidate variables were evaluated using LASSO regression, the Boruta algorithm, and a genetic algorithm for feature selection. Variables retained by all three methods were entered into multivariable logistic regression to construct the full model, and a reduced model excluding fibrinogen (FIB) was assessed for parsimony. Model performance was compared with the Caprini score and internally validated using 1,000 bootstrap resamples.</p>Results<p>Age, interleukin-6, C-reactive protein, D-dimer, and FIB were identified as consensus-selected variables. The full model had an AUC of 0.844 (95% CI, 0.797–0.891). Removing FIB produced minimal changes in discrimination (ΔAUC = 0.007; 95% CI, −0.004 to 0.017; P = 0.224), calibration, Brier score, or decision curves. The four-variable model was therefore selected for nomogram presentation. Its AUC was 0.837 (95% CI, 0.790–0.884), compared with 0.722 (95% CI, 0.663–0.782) for the Caprini score (ΔAUC = 0.115; 95% CI, 0.040–0.190; P = 0.003). The optimism-corrected AUC was 0.837. Adding the Caprini score to the full model numerically increased the AUC from 0.844 to 0.871 (ΔAUC = 0.027; 95% CI, 0.000–0.055; P = 0.054).</p>Conclusion<p>A nomogram based on age, interleukin-6, C-reactive protein, and D-dimer showed good internally validated performance for estimating the probability of concurrent SVT at presentation. Because validation was limited to bootstrap resampling within a single-center cohort, independent external validation is required before clinical application.</p> 2026-10-02T04:41:41Z Dataset Dataset 10.3389/fmed.2026.1889714.s001 https://figshare.com/articles/dataset/Table_1_Development_and_internal_validation_of_a_nomogram_for_estimating_concurrent_superficial_vein_thrombosis_at_presentation_in_patients_with_lower_extremity_varicose_veins_docx/34054017 CC BY 4.0