Key result
Preoperative comorbidity scores correlate with VTE risk models, suggesting simpler tools effectively capture underlying health.
Why the study?
Balancing venous thromboembolism and bleeding risk requires reliable predictive tools, prompting an appraisal of the relationship between comorbidity assessment tools and VTE risk assessment models in urological procedures.
Observational (n=136)
No
Comorbidity scores and VTE risk assessment models demonstrate a high degree of concordance in urological surgery patients, suggesting simpler VTE models like EAU and AUA can effectively incorporate underlying health conditions.
Answers are grounded in this paper and cite their sources.
Supports incorporating comorbidities into simpler VTE models in urological surgery; leaves open prospective validation before practice change.
INTRODUCTION: Taking into consideration both the increasing number of elderly patients undergoing surgery and the fragility of this particular category of patients, a decisive step towards more effectively balancing venous thromboembolism (VTE) and bleeding risk is the development of a reliable predicting tool. The aim of this study is to appraise the relationship between comorbidity assessment tools and VTE risk assessment models (RAMs) in patients undergoing urological procedures. METHODS: Data were prospectively collected during a 20-month period (March 2021-October 2022) including 136 urologic inpatients with a mean age of 66.4 (± 14.4) years. Patients' medical records were reviewed in order to evaluate the comorbidities using the Age-Adjusted Charlson Comorbidity Index (AA-CCI), Cumulative Illness Rating Scale (CIRS), American Society of Anesthesiologists (ASA) score and Index of Co-Existent Diseases (ICED). Venous thromboembolism risk was assessed through the European Association of Urology (EAU) RAM, American Urological Association (AUA) RAM, and Caprini score. RESULTS: Statistical analysis indicated the presence of a statistically significant relationship between all comorbidity scores and VTE RAMs, with only the CIRS score showing no significant deviations across the EAU RAM risk groups (p=0.111). The positive Kendall's Tau-b coefficient values manifest a positive monotonic relationship between the two variables, meaning that higher comorbidity scores correspond to higher VTE risk categories. CONCLUSION: Comorbidity scores and VTE RAMs demonstrate a high degree of concordance. This finding suggests that EAU and AUA RAMs, irrespective of their simplicity, can effectively incorporate underlying health conditions and constitute reliable alternatives to the more complex Caprini score.
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Douroumis et al. (2025) conducted an observational in Urological surgery (n=136). Comorbidity assessment tools (AA-CCI, CIRS, ASA, ICED) vs. VTE risk assessment models (EAU, AUA, Caprini) was evaluated on Correlation between comorbidity scores and VTE risk assessment models (p=<0.001). Preoperative comorbidity scores demonstrated a significant positive correlation with VTE risk assessment models, suggesting simpler VTE models can effectively incorporate underlying health conditions.
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