Aaron S. Wilson , Sara R. Vazquez , John A. Saunders , Daniel M. Witt
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Experienced-based approaches for out-of-range INRs were compared to a validated dosing algorithm to determine algorithm concordance rates as well as likelihood that algorithm concordance would return the INR into therapeutic range.</p></div><div><h3>Results</h3><p>During the one-month study period, there were 1120 out-of-range INRs in 770 patients included in this analysis. Providers’ decisions were 50.5% algorithm-concordant for dosing adjustments and 59.2% concordant for follow-up intervals. Algorithm-concordant dosing practices resulted in a significantly higher likelihood of returning the subsequent INR to the target range (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.05–1.68), whereas algorithm-concordant follow-up intervals did not significantly impact return of INR to therapeutic range (OR 0.79, 95% CI 0.62–1.00). Baseline deviation from INR goal was determined to be significantly different between concordant and discordant study groups. Controlling for the deviation magnitude attenuated the significance of dosing concordance rates on return to INR target range (adjusted OR 1.16, 95% CI 0.91–1.48), while impact of follow-up concordance remained not statistically significant (adjusted OR 0.84, 95% CI 0.66–1.07). No provider characteristics were associated with the likelihood of return to INR goal.</p></div><div><h3>Conclusion</h3><p>Experience-based dosing was concordant with a validated dosing algorithm only half the time. Algorithm-concordant dosing increased the likelihood of returning the next INR to therapeutic range, though controlling for deviation magnitude attenuated the statistical significance of dosing concordance with return to INR goal rates. These findings support further research regarding implementing strategies that promote the use of a validated dosing algorithm among experienced anticoagulation providers.</p></div>","PeriodicalId":34401,"journal":{"name":"Thrombosis Update","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666572721000626/pdfft?md5=ebf774855463e4f351faa10bbe935cb4&pid=1-s2.0-S2666572721000626-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Concordance of experienced-based maintenance warfarin dosing vs. algorithm-based dosing\",\"authors\":\"Aaron S. Wilson , Sara R. Vazquez , John A. Saunders , Daniel M. 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Experienced-based approaches for out-of-range INRs were compared to a validated dosing algorithm to determine algorithm concordance rates as well as likelihood that algorithm concordance would return the INR into therapeutic range.</p></div><div><h3>Results</h3><p>During the one-month study period, there were 1120 out-of-range INRs in 770 patients included in this analysis. Providers’ decisions were 50.5% algorithm-concordant for dosing adjustments and 59.2% concordant for follow-up intervals. Algorithm-concordant dosing practices resulted in a significantly higher likelihood of returning the subsequent INR to the target range (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.05–1.68), whereas algorithm-concordant follow-up intervals did not significantly impact return of INR to therapeutic range (OR 0.79, 95% CI 0.62–1.00). Baseline deviation from INR goal was determined to be significantly different between concordant and discordant study groups. Controlling for the deviation magnitude attenuated the significance of dosing concordance rates on return to INR target range (adjusted OR 1.16, 95% CI 0.91–1.48), while impact of follow-up concordance remained not statistically significant (adjusted OR 0.84, 95% CI 0.66–1.07). No provider characteristics were associated with the likelihood of return to INR goal.</p></div><div><h3>Conclusion</h3><p>Experience-based dosing was concordant with a validated dosing algorithm only half the time. Algorithm-concordant dosing increased the likelihood of returning the next INR to therapeutic range, though controlling for deviation magnitude attenuated the statistical significance of dosing concordance with return to INR goal rates. 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引用次数: 0
摘要
华法林维持剂量算法改善了治疗国际标准化比率(INR)范围(TTR)的时间,这是临床结果的替代标记。尽管证明了益处,但许多抗凝提供者采用基于经验的剂量代替。本研究评估了在单个抗凝临床中基于经验和基于算法的华法林给药的一致性。方法:在犹他大学健康血栓服务中心,纳入了2019年11月期间INR结果为2.0-3.0或2.5-3.5的华法林维持剂量患者。将基于经验的超范围INR方法与经过验证的给药算法进行比较,以确定算法一致性率以及算法一致性将INR返回治疗范围的可能性。结果在为期一个月的研究期间,770例患者中有1120例inr超出范围。提供者的决定在剂量调整方面与算法一致的比例为50.5%,在随访间隔方面与算法一致的比例为59.2%。算法一致的给药实践导致随后INR返回目标范围的可能性显著增加(优势比[OR] 1.33, 95%可信区间[CI] 1.05-1.68),而算法一致的随访间隔对INR返回治疗范围没有显著影响(OR 0.79, 95% CI 0.62-1.00)。从INR目标的基线偏差被确定为在和谐和不和谐研究组之间有显著差异。控制偏差幅度减弱了剂量一致性率返回INR目标范围的显著性(调整OR为1.16,95% CI 0.91-1.48),而随访一致性的影响仍无统计学意义(调整OR为0.84,95% CI为0.66-1.07)。没有提供者的特征与恢复到INR目标的可能性相关。结论经验给药与经验证的给药算法只有一半的一致性。算法一致的剂量增加了下一个INR返回治疗范围的可能性,尽管控制偏差幅度减弱了剂量一致性与INR目标返回率的统计学意义。这些发现支持进一步研究实施策略,以促进在经验丰富的抗凝提供者中使用经过验证的给药算法。
Concordance of experienced-based maintenance warfarin dosing vs. algorithm-based dosing
Introduction
Warfarin maintenance dosing algorithms improve the time in therapeutic International Normalized Ratio (INR) range (TTR), a surrogate marker for clinical outcomes. Despite demonstrated benefit, many anticoagulation providers utilize experience-based dosing instead. This study assessed rates of concordance between experience-based and algorithm-based warfarin dosing at a single anticoagulation clinic.
Methods
Within University of Utah Health Thrombosis Service, patients on a maintenance dose of warfarin with an INR goal of 2.0–3.0 or 2.5–3.5 and who had INR results during November 2019 were included. Experienced-based approaches for out-of-range INRs were compared to a validated dosing algorithm to determine algorithm concordance rates as well as likelihood that algorithm concordance would return the INR into therapeutic range.
Results
During the one-month study period, there were 1120 out-of-range INRs in 770 patients included in this analysis. Providers’ decisions were 50.5% algorithm-concordant for dosing adjustments and 59.2% concordant for follow-up intervals. Algorithm-concordant dosing practices resulted in a significantly higher likelihood of returning the subsequent INR to the target range (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.05–1.68), whereas algorithm-concordant follow-up intervals did not significantly impact return of INR to therapeutic range (OR 0.79, 95% CI 0.62–1.00). Baseline deviation from INR goal was determined to be significantly different between concordant and discordant study groups. Controlling for the deviation magnitude attenuated the significance of dosing concordance rates on return to INR target range (adjusted OR 1.16, 95% CI 0.91–1.48), while impact of follow-up concordance remained not statistically significant (adjusted OR 0.84, 95% CI 0.66–1.07). No provider characteristics were associated with the likelihood of return to INR goal.
Conclusion
Experience-based dosing was concordant with a validated dosing algorithm only half the time. Algorithm-concordant dosing increased the likelihood of returning the next INR to therapeutic range, though controlling for deviation magnitude attenuated the statistical significance of dosing concordance with return to INR goal rates. These findings support further research regarding implementing strategies that promote the use of a validated dosing algorithm among experienced anticoagulation providers.