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低频出血数据的分析:根据基线 FVIII 活性水平的关节出血关联。

Analysis of low frequency bleeding data: the association of joint bleeds according to baseline FVIII activity levels.

机构信息

van Creveldkliniek, Department of Haematology and Julius Center for health sciences and primary care, UMC Utrecht, Utrecht, The Netherlands.

出版信息

Haemophilia. 2011 Jan;17(1):41-4. doi: 10.1111/j.1365-2516.2010.02383.x. Epub 2010 Sep 2.

Abstract

Many studies in the field of haemophilia and other coagulation deficiencies require analyses of bleeding frequencies. In haemophilia, the association of bleeding frequency with factor VIII (FVIII) activity levels is known from experience, but significant results are lacking. Bleeding frequencies in haemophilia are highly skewed count data, with large proportions of zeros. Both the skewness and the high amount of zeros pose a problem for standard (linear) modelling techniques. This study investigated the optimal analysing strategy for bleeding data by using the association of residual clotting factor level and number of joint bleeds in moderate and mild patients treated on demand as example. In total, 433 patients with moderate (27%) and mild (73%) haemophilia A treated on demand were included in this study. One year of self-reported data on joint bleed frequency and baseline clotting factor activity were analysed using Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial distributions. Multivariate regression analysis using negative binomial distribution provided the optimum data analytical strategy. This model showed 18% reduction [Rate ratio (RR) 0.82; 95%confidence interval (CI) 0.77-0.86] of bleeding frequency with every IU dL(-1) increase in residual FVIII activity. The actual association is expected to be higher because of exclusion (30 out of 463 patients) of patients on prophylaxis (baseline FVIII levels 0.01-0.06 IU mL(-1)). The best way to analyse low frequency bleeding data is using a negative binomial distribution.

摘要

许多血友病和其他凝血缺陷领域的研究都需要分析出血频率。在血友病中,出血频率与因子 VIII(FVIII)活性水平的关联是经验已知的,但缺乏显著的结果。血友病的出血频率是高度偏态的计数数据,其中很大比例为零。偏度和大量零值对标准(线性)建模技术构成了问题。本研究通过使用按需治疗的中度和轻度患者的残余凝血因子水平与关节出血次数的关联作为示例,探讨了出血数据的最佳分析策略。共有 433 名按需治疗的中度(27%)和轻度(73%)血友病 A 患者纳入本研究。使用泊松、负二项、零膨胀泊松和零膨胀负二项分布分析了 1 年的关节出血频率和基线凝血因子活性的自我报告数据。使用负二项分布的多变量回归分析提供了最佳的数据分析策略。该模型显示,随着残余 FVIII 活性每增加 1IU dL(-1),出血频率降低 18%[比率比(RR)0.82;95%置信区间(CI)0.77-0.86]。由于排除了(463 名患者中的 30 名)接受预防治疗的患者(基线 FVIII 水平为 0.01-0.06 IU mL(-1)),实际关联预计会更高。分析低频出血数据的最佳方法是使用负二项分布。

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