利用医疗保健索赔数据确定已确诊和未确诊家族性高胆固醇血症患者的健康差距

M. P. McGowan, C. Xing, A. Khera, C.-Y. Huang, Y. Shao, M. Xing, E. Brandt, D. MacDougall, C. D. Ahmed, K. Wilemon, Z. Ahmad
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We used multivariable regression models to examine correlations with demographic/socioeconomic variables. Results In the FH cohort (n = 85,457), 45.9% were female, 79.4% identified as White, 12.2% Black, and 8.4% as Hispanic. In the PFH cohort (n = 287,580), 42.2% were female, 78.2% White, 13.7% as Black, and 8.1% as Hispanic. Males were more likely to be prescribed high-intensity statins than females: odds ratio (OR) [95% confidence interval (CI)] = 2.05 [1.97, 2.13] and 1.60 [1.56,1.63] in the FH and the PFH cohorts, respectively. In both cohorts, White individuals were more likely to get ezetimibe, PCSK9i, or combination therapy compared to Black individuals (ORs: 1.12-1.40). Higher income was associated with increased odds of receiving these treatments (OR: 1.17-1.59 for incomes >$50,000). Higher education was linked to a higher likelihood of combination therapy (ORs [95% CI] = 1.49 [1.33, 1.68] and 1.18 [1.10, 1.27] in the FH and PFH cohorts, respectively). 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引用次数: 0

摘要

背景 家族性高胆固醇血症(FH)患者需要接受强化降脂治疗,从高强度他汀类药物开始,根据需要添加依折麦布和 PCSK9 抑制剂(PCSK9i),以达到目标 LDL-C 水平。有关美国 FH 患者使用这些疗法的差异的数据很有限。方法:我们查询了一个由 3.24 亿人组成的大型美国医疗保健索赔库,重点关注两类患者的高强度他汀类药物、依折麦布和 PCSK9i 处方:一类是确诊为 FH 的患者(ICD-10 E.78.01),另一类是未确诊为 FH 但通过 FIND-FH(R)机器学习算法确定为可能患有 FH (PFH)的患者。我们使用多变量回归模型来检验与人口统计学/社会经济变量的相关性。结果 在 FH 队列(n = 85,457)中,45.9% 为女性,79.4% 为白人,12.2% 为黑人,8.4% 为西班牙裔。在 PFH 队列(n = 287,580 人)中,42.2% 为女性,78.2% 为白人,13.7% 为黑人,8.1% 为西班牙裔。男性比女性更有可能获得高强度他汀类药物处方:FH 和 PFH 队列中的几率比 (OR) [95% 置信区间 (CI)] 分别为 2.05 [1.97, 2.13] 和 1.60 [1.56,1.63]。在这两个队列中,与黑人相比,白人更有可能接受依折麦布、PCSK9i 或联合治疗(ORs:1.12-1.40)。收入越高,接受这些治疗的几率越大(OR:收入大于 50,000 美元时为 1.17-1.59)。教育程度越高,接受综合治疗的几率越大(FH 和 PFH 队列中的 ORs [95% CI] = 1.49 [1.33, 1.68] 和 1.18 [1.10, 1.27])。结论:真实世界的数据表明,更积极的降脂疗法(依折麦布和 PCSK9i)更多地开给白人、高收入或受过高等教育的人,这凸显了提高所有 FH 患者降低心血管风险的公平性的必要性。
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Using Healthcare Claims Data to Identify Health Disparities for Individuals with Diagnosed and Undiagnosed Familial Hypercholesterolemia
Background Individuals with familial hypercholesterolemia (FH) require intensive lipid-lowering therapy, starting with high-intensity statins and adding ezetimibe and PCSK9 inhibitors (PCSK9i) as needed to reach target LDL-C levels. There are limited data on disparities in the use of these therapies among individuals with FH in the US. Methods: We queried a large US healthcare claims repository consisting of 324 million individuals, focusing on prescriptions for high-intensity statins, ezetimibe, and PCSK9i in two patient groups: those diagnosed with FH (ICD-10 E.78.01) and those not diagnosed with FH but identified as having probable FH (PFH) via the FIND-FH(R) machine learning algorithm. We used multivariable regression models to examine correlations with demographic/socioeconomic variables. Results In the FH cohort (n = 85,457), 45.9% were female, 79.4% identified as White, 12.2% Black, and 8.4% as Hispanic. In the PFH cohort (n = 287,580), 42.2% were female, 78.2% White, 13.7% as Black, and 8.1% as Hispanic. Males were more likely to be prescribed high-intensity statins than females: odds ratio (OR) [95% confidence interval (CI)] = 2.05 [1.97, 2.13] and 1.60 [1.56,1.63] in the FH and the PFH cohorts, respectively. In both cohorts, White individuals were more likely to get ezetimibe, PCSK9i, or combination therapy compared to Black individuals (ORs: 1.12-1.40). Higher income was associated with increased odds of receiving these treatments (OR: 1.17-1.59 for incomes >$50,000). Higher education was linked to a higher likelihood of combination therapy (ORs [95% CI] = 1.49 [1.33, 1.68] and 1.18 [1.10, 1.27] in the FH and PFH cohorts, respectively). Conclusions: Real-world data indicate that more aggressive lipid-lowering therapy (ezetimibe and PCSK9i) is more often prescribed to White individuals, individuals with higher income, or those with advanced education, highlighting the need to improve equity in cardiovascular risk reduction for all individuals with FH.
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