采用以患者为中心的方法,对美国 B 型血友病的负担进行评估的多年期真实世界回顾性队列研究。

IF 3 2区 医学 Q2 HEMATOLOGY
Haemophilia Pub Date : 2024-07-22 DOI:10.1111/hae.15077
Arianna Burton, Yong Chen, Priya Patel, Jose Alvir, Darren Kailung Jeng, Anna Stachel Kane, Jiayin Xue, Emily Cibelli, Patrick F. Fogarty
{"title":"采用以患者为中心的方法,对美国 B 型血友病的负担进行评估的多年期真实世界回顾性队列研究。","authors":"Arianna Burton,&nbsp;Yong Chen,&nbsp;Priya Patel,&nbsp;Jose Alvir,&nbsp;Darren Kailung Jeng,&nbsp;Anna Stachel Kane,&nbsp;Jiayin Xue,&nbsp;Emily Cibelli,&nbsp;Patrick F. Fogarty","doi":"10.1111/hae.15077","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor,</p><p>Haemophilia is associated with a high burden of illness. As disease severity worsens, people with haemophilia B (PwHB) experience greater loss of productivity, higher costs,<span><sup>1</sup></span> and reduced quality of life.<span><sup>2</sup></span> The hallmark of severe haemophilia is spontaneous bleeding into joints and muscles that may lead to long-term joint damage and pain.<span><sup>3</sup></span> The current standard of care for severe haemophilia B is prophylaxis with intravenous factor replacement therapy.<span><sup>3</sup></span> However, the treatment armamentarium for PwHB is expanding with investigational non-factor replacement therapies (anti-tissue factor pathway inhibitor, serpins, and small interfering RNA therapy targeting antithrombin) and advances in gene therapies.<span><sup>3, 4</sup></span></p><p>Real-world data (RWD) can help elucidate the burden of illness among PwHB and inform care decisions.<span><sup>1</sup></span> However, sources such as insurance claims are confined to billing codes and often lack data on disease severity and/or bleeding events.<span><sup>1</sup></span> Electronic health records (EHRs) contain narrative text with outcomes and disease characterisation data,<span><sup>5</sup></span> but information captured may vary between organisations and records are not always accessible electronically.<span><sup>6</sup></span></p><p>PicnicHealth is a novel patient-centric RWD platform incorporating multiyear, cross-institutional patient medical records (electronic and non-electronic). The PicnicHealth platform retrieves medical records directly from providers regardless of provider system, digitises medical records and produces a real-world dataset of a patient's medical journey. Clinical information is gathered retrospectively from structured and narrative sections of the medical records, digital imaging and communications in medicine images, medical and pharmacy claims and patient-reported outcomes.<span><sup>7</sup></span> We describe the results of a retrospective cohort study using longitudinal medical record data from PicnicHealth to assess the real-world burden of illness among PwHB in the United States.</p><p>From June 2020, PwHB (or their caregivers) were identified through social media outreach, provider partnerships, and patient advocacy groups. The study population included male PwHB who had medical records available between 1 April 2015 and 30 September 2020 (index date was the first encounter date in the dataset defined by haemophilia B diagnosis or factor IX [FIX] treatment). Exclusion criteria included recipients of any bypassing agent, inhibitor diagnosis (historical or current) and clinical trial enrolment. Data production and analysis are described in the Supplementary Methods. Descriptive statistics were reported for PwHB with data on annualised bleeding rate (ABR) after the index date. The cohort was stratified by disease severity, age (&lt; 12 or ≥ 12 years old on index date), treatment regimen (prophylaxis or on demand) and body mass index (BMI).</p><p>Of 93 male PwHB identified within the PicnicHealth dataset, 75 were without inhibitors, not enrolled in a clinical trial and had documented disease severity. Of these, 48 had ABR data. Median (range) age was 21 (0−64) years; most patients were White (65%) and aged ≥ 12 years (73%) (Table 1). Haemophilia B was mild/moderate in 42% (<i>n </i>= 20/48) and severe in 58% (<i>n </i>= 28/48) of patients. Overall, 67% (<i>n </i>= 32/48) were receiving prophylaxis (75% [<i>n </i>= 24/32] of those had severe disease), 25% (<i>n </i>= 12/48) received on-demand treatment and 6% (<i>n </i>= 3/48) were not receiving a FIX replacement product. Treatment status was unknown for one patient. Prophylaxis use increased with disease severity; 40% (<i>n </i>= 8/20) of patients with mild/moderate disease used prophylaxis compared with 86% (<i>n </i>= 24/28) in those with severe disease.</p><p>The most frequent comorbid conditions were arthropathy (71%), synovitis (38%), mental and behavioural disorders (23%), diseases of the circulatory system (21%), and endocrine, nutritional, and metabolic diseases (23%). Comorbidities were reported in the same proportion (75%) of patients with mild/moderate and severe haemophilia B. Diseases of the musculoskeletal system (80% and 46%), arthropathy (80% and 46%) and synovitis (43% and 23%) were most frequently reported in patients aged ≥ 12 years and &lt; 12 years, respectively. Pain medication was used by 88% of patients (93% with severe disease, 80% with mild/moderate disease), most commonly acetaminophen (83%) and celecoxib (25%).</p><p>Overall, 18/20 (90%) patients with mild/moderate disease and 27/28 (96%) with severe disease reported ≥1 bleeding event. ABR corresponded to disease severity; mean (median; interquartile range) ABR was 2.5 (1.3; 0−4.3) in patients with mild/moderate haemophilia B and 4.5 (1.5; 0−5.4) in those with severe disease (Figure 1A). These patterns were observed regardless of age group (&lt; 12 years, Figure 1B; ≥ 12 years, Figure 1C). For those on prophylaxis, mean ABR was similar and median ABR was higher in patients with mild/moderate than severe disease (Figure 1D). ABR was generally higher in those with BMI outside the normal weight range, with a mean ABR of 2.4, 1.8, 4.5 and 6.8 in PwHB who were underweight (BMI &lt;18.5 kg/m<sup>2</sup>; <i>n </i>= 9), normal weight (18.5−24.9 kg/m<sup>2</sup>; <i>n</i> = 17), overweight (25.0−29.9 kg/m<sup>2</sup>; <i>n </i>= 11) and obese (≥30 kg/m<sup>2</sup>; <i>n </i>= 11), respectively.</p><p>In this real-world cohort of PwHB, most patients (94%) reported ≥ 1 bleeding event. Disease burden was characterised by an increasing ABR associated with disease severity, numerous comorbid conditions and substantial use of pain medication. The Hemophilia Utilization Group Studies from 10 US-based haemophilia treatment centres (<i>n </i>= 112) also reported increases in ABR with disease severity: mean ABR was 3.5 (SD 5.1) and 7.1 (SD 7.7) for mild/moderate and severe disease, respectively.<span><sup>1</sup></span> In the ‘Cost of Haemophilia in Europe: a Socioeconomic Survey’ data set (CHESS II) from six European countries (<i>N </i>= 707), disease severity was associated with bleeding outcomes and was a significant predictor of increasing humanistic and economic burden.<span><sup>2</sup></span> In our study, prophylaxis use increased with disease severity. This is consistent with findings of a large study of prophylaxis in haemophilia B patients from the Centers for Disease Control and Prevention's Universal Data Collection project in the United States, where severity was strongly associated with prophylaxis use.<span><sup>8</sup></span></p><p>More severe diseases and age ≥ 12 years were associated with an increased rate of comorbid conditions, most notably arthropathy and synovitis. More than 80% of PwHB aged ≥ 12 years with severe disease experienced arthropathy. World Federation of Hemophilia guidance recognises that even with prophylaxis, clinical and subclinical bleeds cause progressive joint damage.<span><sup>3</sup></span> Mental and behavioural disorders occurred in 29% of PwHB with severe disease who were ≥ 12 years of age. Observations from the CHESS II dataset support these findings, with greater health-related quality of life impairments with increasing disease severity<span><sup>2</sup></span> and more annual bleeds.<span><sup>9</sup></span></p><p>The highest average ABR occurred in PwHB classified as obese or overweight; those classified as normal weight had the lowest ABR. Higher bleeding rates in those with obesity could be related to lower prophylaxis use,<span><sup>8</sup></span> as well as difficulties with venous access and ability to self-infuse.<span><sup>10</sup></span> However, there is some inconsistency between studies exploring bleeding and obesity, as other reports suggest patients with overweight/obesity have lower bleeding rates possibly due to reduction in physical activity.<span><sup>3</sup></span> Potential variability in levels of physical activity, intrinsic bleeding tendency and treatment characteristics limit the interpretability of these findings.</p><p>Pain medication was used frequently, with acetaminophen being the most common, particularly in patients &lt; 12 years of age. Increased use of pain medication was observed with worsening disease severity, with celecoxib and acetaminophen more commonly used in patients with severe disease. In a subgroup analysis of adults with haemophilia A in CHESS II, pain and burden of disease increased with the number of bleeds.<span><sup>9</sup></span> This highlights the need for appropriate and timely treatment to avoid long-term joint damage and pain.<span><sup>3</sup></span></p><p>These findings need to be considered in the context of the study limitations, including relatively small sample sizes (especially for those &lt; 12 years of age). Results may not be representative of those with milder disease severities given the high proportion of patients with severe disease included. Psychological diagnoses may be under-recorded, as providers may not release sensitive psychological diagnoses, especially in the paediatric population. Pain medication could be used for conditions other than haemophilia B or its complications. Patients self-select into the PicnicHealth platform, which could bias the study. Medical records may be irretrievable, lost or uninterpretable, causing gaps in longitudinal data. Bleeds that are minor or resolved quickly may be underreported in medical records. Clinical information on diagnoses and symptoms was gathered retrospectively and therefore relied upon accurate reporting, but there is potential for similar presentations such as synovitis and acute bleeds to be miscoded. Patients may not report all their providers, making data retrieval incomplete; however, PicnicHealth uses other information sources, such as claims linkage, to search for providers that are potentially missing. Finally, adult patient records do not always contain a date of diagnosis because severe haemophilia is usually diagnosed during infancy and most US states only guarantee healthcare data retention for up to 7 years, so some instances of burden faced during the period immediately following diagnosis (e.g., ABR, the effectiveness of treatment regimen, treatment switches) may not be captured.</p><p>Notably, 90% of patients with mild/moderate haemophilia B and 96% of those with severe disease reported ≥1 bleeding event. Pain medication was used in 88% of patients overall and 80% of those with mild/moderate disease. Overall, only 67% were receiving prophylaxis. These RWD demonstrate an ongoing burden from bleeding episodes, associated comorbidities, and pain medication use in a cohort of paediatric and adult PwHB, even among those using prophylaxis. These observations demonstrate current shortcomings in prevention of joint disease and underscore the need for enhanced use of prophylaxis and continued treatment advancements in haemophilia B.</p><p>Arianna Burton, Yong Chen, Priya Patel, and Patrick F. Fogarty conceptualized and designed the study, and analysed and interpreted the data. Yong Chen, Jose Alvir, Darren Kailung Jeng, Anna Stachel Kane, Jiayin Xue, and Emily Cibelli acquired, analysed, and interpreted the data. All authors participated in the critical review and final approval of the version to be submitted.</p><p>A.B., Y.C., P.P., and A.S.K. are employees of and own stocks and/or options in Pfizer. D.K.J. is an employee of Pfizer. J.A. and P.F.F. were employees of Pfizer at the time of this work and own stocks in Pfizer. J.X. was an employee of PicnicHealth at the time of this work. E.C. is an employee of PicnicHealth and owns stock options in PicnicHealth.</p><p>This study was sponsored by Pfizer.</p><p>Each PwHB (or their caregiver) signed a Health Insurance Portability and Accountability Act authorisation for PicnicHealth to contact their healthcare providers, retrieve their medical records and share their de-identified data for research. Records were collected from any US provider, at any healthcare facility caring for the patient. The study protocol and consent forms received institutional research board approval.</p>","PeriodicalId":12819,"journal":{"name":"Haemophilia","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hae.15077","citationCount":"0","resultStr":"{\"title\":\"Multiyear, real-world, retrospective cohort study using a patient-centric approach to evaluate the burden of haemophilia B in the United States\",\"authors\":\"Arianna Burton,&nbsp;Yong Chen,&nbsp;Priya Patel,&nbsp;Jose Alvir,&nbsp;Darren Kailung Jeng,&nbsp;Anna Stachel Kane,&nbsp;Jiayin Xue,&nbsp;Emily Cibelli,&nbsp;Patrick F. Fogarty\",\"doi\":\"10.1111/hae.15077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Dear Editor,</p><p>Haemophilia is associated with a high burden of illness. As disease severity worsens, people with haemophilia B (PwHB) experience greater loss of productivity, higher costs,<span><sup>1</sup></span> and reduced quality of life.<span><sup>2</sup></span> The hallmark of severe haemophilia is spontaneous bleeding into joints and muscles that may lead to long-term joint damage and pain.<span><sup>3</sup></span> The current standard of care for severe haemophilia B is prophylaxis with intravenous factor replacement therapy.<span><sup>3</sup></span> However, the treatment armamentarium for PwHB is expanding with investigational non-factor replacement therapies (anti-tissue factor pathway inhibitor, serpins, and small interfering RNA therapy targeting antithrombin) and advances in gene therapies.<span><sup>3, 4</sup></span></p><p>Real-world data (RWD) can help elucidate the burden of illness among PwHB and inform care decisions.<span><sup>1</sup></span> However, sources such as insurance claims are confined to billing codes and often lack data on disease severity and/or bleeding events.<span><sup>1</sup></span> Electronic health records (EHRs) contain narrative text with outcomes and disease characterisation data,<span><sup>5</sup></span> but information captured may vary between organisations and records are not always accessible electronically.<span><sup>6</sup></span></p><p>PicnicHealth is a novel patient-centric RWD platform incorporating multiyear, cross-institutional patient medical records (electronic and non-electronic). The PicnicHealth platform retrieves medical records directly from providers regardless of provider system, digitises medical records and produces a real-world dataset of a patient's medical journey. Clinical information is gathered retrospectively from structured and narrative sections of the medical records, digital imaging and communications in medicine images, medical and pharmacy claims and patient-reported outcomes.<span><sup>7</sup></span> We describe the results of a retrospective cohort study using longitudinal medical record data from PicnicHealth to assess the real-world burden of illness among PwHB in the United States.</p><p>From June 2020, PwHB (or their caregivers) were identified through social media outreach, provider partnerships, and patient advocacy groups. The study population included male PwHB who had medical records available between 1 April 2015 and 30 September 2020 (index date was the first encounter date in the dataset defined by haemophilia B diagnosis or factor IX [FIX] treatment). Exclusion criteria included recipients of any bypassing agent, inhibitor diagnosis (historical or current) and clinical trial enrolment. Data production and analysis are described in the Supplementary Methods. Descriptive statistics were reported for PwHB with data on annualised bleeding rate (ABR) after the index date. The cohort was stratified by disease severity, age (&lt; 12 or ≥ 12 years old on index date), treatment regimen (prophylaxis or on demand) and body mass index (BMI).</p><p>Of 93 male PwHB identified within the PicnicHealth dataset, 75 were without inhibitors, not enrolled in a clinical trial and had documented disease severity. Of these, 48 had ABR data. Median (range) age was 21 (0−64) years; most patients were White (65%) and aged ≥ 12 years (73%) (Table 1). Haemophilia B was mild/moderate in 42% (<i>n </i>= 20/48) and severe in 58% (<i>n </i>= 28/48) of patients. Overall, 67% (<i>n </i>= 32/48) were receiving prophylaxis (75% [<i>n </i>= 24/32] of those had severe disease), 25% (<i>n </i>= 12/48) received on-demand treatment and 6% (<i>n </i>= 3/48) were not receiving a FIX replacement product. Treatment status was unknown for one patient. Prophylaxis use increased with disease severity; 40% (<i>n </i>= 8/20) of patients with mild/moderate disease used prophylaxis compared with 86% (<i>n </i>= 24/28) in those with severe disease.</p><p>The most frequent comorbid conditions were arthropathy (71%), synovitis (38%), mental and behavioural disorders (23%), diseases of the circulatory system (21%), and endocrine, nutritional, and metabolic diseases (23%). Comorbidities were reported in the same proportion (75%) of patients with mild/moderate and severe haemophilia B. Diseases of the musculoskeletal system (80% and 46%), arthropathy (80% and 46%) and synovitis (43% and 23%) were most frequently reported in patients aged ≥ 12 years and &lt; 12 years, respectively. Pain medication was used by 88% of patients (93% with severe disease, 80% with mild/moderate disease), most commonly acetaminophen (83%) and celecoxib (25%).</p><p>Overall, 18/20 (90%) patients with mild/moderate disease and 27/28 (96%) with severe disease reported ≥1 bleeding event. ABR corresponded to disease severity; mean (median; interquartile range) ABR was 2.5 (1.3; 0−4.3) in patients with mild/moderate haemophilia B and 4.5 (1.5; 0−5.4) in those with severe disease (Figure 1A). These patterns were observed regardless of age group (&lt; 12 years, Figure 1B; ≥ 12 years, Figure 1C). For those on prophylaxis, mean ABR was similar and median ABR was higher in patients with mild/moderate than severe disease (Figure 1D). ABR was generally higher in those with BMI outside the normal weight range, with a mean ABR of 2.4, 1.8, 4.5 and 6.8 in PwHB who were underweight (BMI &lt;18.5 kg/m<sup>2</sup>; <i>n </i>= 9), normal weight (18.5−24.9 kg/m<sup>2</sup>; <i>n</i> = 17), overweight (25.0−29.9 kg/m<sup>2</sup>; <i>n </i>= 11) and obese (≥30 kg/m<sup>2</sup>; <i>n </i>= 11), respectively.</p><p>In this real-world cohort of PwHB, most patients (94%) reported ≥ 1 bleeding event. Disease burden was characterised by an increasing ABR associated with disease severity, numerous comorbid conditions and substantial use of pain medication. The Hemophilia Utilization Group Studies from 10 US-based haemophilia treatment centres (<i>n </i>= 112) also reported increases in ABR with disease severity: mean ABR was 3.5 (SD 5.1) and 7.1 (SD 7.7) for mild/moderate and severe disease, respectively.<span><sup>1</sup></span> In the ‘Cost of Haemophilia in Europe: a Socioeconomic Survey’ data set (CHESS II) from six European countries (<i>N </i>= 707), disease severity was associated with bleeding outcomes and was a significant predictor of increasing humanistic and economic burden.<span><sup>2</sup></span> In our study, prophylaxis use increased with disease severity. This is consistent with findings of a large study of prophylaxis in haemophilia B patients from the Centers for Disease Control and Prevention's Universal Data Collection project in the United States, where severity was strongly associated with prophylaxis use.<span><sup>8</sup></span></p><p>More severe diseases and age ≥ 12 years were associated with an increased rate of comorbid conditions, most notably arthropathy and synovitis. More than 80% of PwHB aged ≥ 12 years with severe disease experienced arthropathy. World Federation of Hemophilia guidance recognises that even with prophylaxis, clinical and subclinical bleeds cause progressive joint damage.<span><sup>3</sup></span> Mental and behavioural disorders occurred in 29% of PwHB with severe disease who were ≥ 12 years of age. Observations from the CHESS II dataset support these findings, with greater health-related quality of life impairments with increasing disease severity<span><sup>2</sup></span> and more annual bleeds.<span><sup>9</sup></span></p><p>The highest average ABR occurred in PwHB classified as obese or overweight; those classified as normal weight had the lowest ABR. Higher bleeding rates in those with obesity could be related to lower prophylaxis use,<span><sup>8</sup></span> as well as difficulties with venous access and ability to self-infuse.<span><sup>10</sup></span> However, there is some inconsistency between studies exploring bleeding and obesity, as other reports suggest patients with overweight/obesity have lower bleeding rates possibly due to reduction in physical activity.<span><sup>3</sup></span> Potential variability in levels of physical activity, intrinsic bleeding tendency and treatment characteristics limit the interpretability of these findings.</p><p>Pain medication was used frequently, with acetaminophen being the most common, particularly in patients &lt; 12 years of age. Increased use of pain medication was observed with worsening disease severity, with celecoxib and acetaminophen more commonly used in patients with severe disease. In a subgroup analysis of adults with haemophilia A in CHESS II, pain and burden of disease increased with the number of bleeds.<span><sup>9</sup></span> This highlights the need for appropriate and timely treatment to avoid long-term joint damage and pain.<span><sup>3</sup></span></p><p>These findings need to be considered in the context of the study limitations, including relatively small sample sizes (especially for those &lt; 12 years of age). Results may not be representative of those with milder disease severities given the high proportion of patients with severe disease included. Psychological diagnoses may be under-recorded, as providers may not release sensitive psychological diagnoses, especially in the paediatric population. Pain medication could be used for conditions other than haemophilia B or its complications. Patients self-select into the PicnicHealth platform, which could bias the study. Medical records may be irretrievable, lost or uninterpretable, causing gaps in longitudinal data. Bleeds that are minor or resolved quickly may be underreported in medical records. Clinical information on diagnoses and symptoms was gathered retrospectively and therefore relied upon accurate reporting, but there is potential for similar presentations such as synovitis and acute bleeds to be miscoded. Patients may not report all their providers, making data retrieval incomplete; however, PicnicHealth uses other information sources, such as claims linkage, to search for providers that are potentially missing. Finally, adult patient records do not always contain a date of diagnosis because severe haemophilia is usually diagnosed during infancy and most US states only guarantee healthcare data retention for up to 7 years, so some instances of burden faced during the period immediately following diagnosis (e.g., ABR, the effectiveness of treatment regimen, treatment switches) may not be captured.</p><p>Notably, 90% of patients with mild/moderate haemophilia B and 96% of those with severe disease reported ≥1 bleeding event. Pain medication was used in 88% of patients overall and 80% of those with mild/moderate disease. Overall, only 67% were receiving prophylaxis. These RWD demonstrate an ongoing burden from bleeding episodes, associated comorbidities, and pain medication use in a cohort of paediatric and adult PwHB, even among those using prophylaxis. These observations demonstrate current shortcomings in prevention of joint disease and underscore the need for enhanced use of prophylaxis and continued treatment advancements in haemophilia B.</p><p>Arianna Burton, Yong Chen, Priya Patel, and Patrick F. Fogarty conceptualized and designed the study, and analysed and interpreted the data. Yong Chen, Jose Alvir, Darren Kailung Jeng, Anna Stachel Kane, Jiayin Xue, and Emily Cibelli acquired, analysed, and interpreted the data. All authors participated in the critical review and final approval of the version to be submitted.</p><p>A.B., Y.C., P.P., and A.S.K. are employees of and own stocks and/or options in Pfizer. D.K.J. is an employee of Pfizer. J.A. and P.F.F. were employees of Pfizer at the time of this work and own stocks in Pfizer. J.X. was an employee of PicnicHealth at the time of this work. E.C. is an employee of PicnicHealth and owns stock options in PicnicHealth.</p><p>This study was sponsored by Pfizer.</p><p>Each PwHB (or their caregiver) signed a Health Insurance Portability and Accountability Act authorisation for PicnicHealth to contact their healthcare providers, retrieve their medical records and share their de-identified data for research. Records were collected from any US provider, at any healthcare facility caring for the patient. The study protocol and consent forms received institutional research board approval.</p>\",\"PeriodicalId\":12819,\"journal\":{\"name\":\"Haemophilia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hae.15077\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Haemophilia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/hae.15077\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Haemophilia","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/hae.15077","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

亲爱的编辑,血友病带来了沉重的疾病负担。随着疾病严重程度的加重,血友病 B 患者(PwHB)的生产力损失更大、费用更高1 、生活质量更低。2 严重血友病的特征是关节和肌肉自发性出血,可能导致长期的关节损伤和疼痛。3 然而,随着非因子替代疗法(抗组织因子通路抑制剂、血清素和针对抗凝血酶的小干扰 RNA疗法)的研究和基因疗法的发展,PwHB 的治疗手段也在不断扩大、4 真实世界数据(RWD)有助于阐明 PwHB 的疾病负担并为护理决策提供依据。1 然而,保险索赔等来源仅限于账单代码,通常缺乏有关疾病严重程度和/或出血事件的数据。6 PicnicHealth 是一个新颖的以患者为中心的 RWD 平台,整合了多年的跨机构患者病历(电子和非电子病历)。PicnicHealth 平台可直接从医疗服务提供者处检索医疗记录,而无需考虑医疗服务提供者系统,并将医疗记录数字化,生成患者医疗历程的真实世界数据集。我们介绍了一项回顾性队列研究的结果,该研究使用 PicnicHealth 的纵向病历数据评估美国 PwHB 的实际疾病负担。研究对象包括在 2015 年 4 月 1 日至 2020 年 9 月 30 日期间有医疗记录的男性血友病患者(索引日期为数据集中根据血友病 B 诊断或 IX 因子 [FIX] 治疗定义的首次就诊日期)。排除标准包括任何旁路药物的接受者、抑制剂诊断(历史或当前)和临床试验注册。补充方法》中对数据生成和分析进行了说明。报告了 PwHB 的描述性统计数字以及指数日期后的年化出血率 (ABR) 数据。在 PicnicHealth 数据集中确定的 93 名男性 PwHB 中,75 人未使用抑制剂,未参加临床试验,并有疾病严重程度的记录。其中 48 人有 ABR 数据。年龄中位数(范围)为 21(0-64)岁;大多数患者为白人(65%),年龄≥ 12 岁(73%)(表 1)。42%的血友病 B 患者为轻度/中度(n = 20/48),58%的患者为重度(n = 28/48)。总体而言,67%(n = 32/48)的患者正在接受预防性治疗(其中 75% [n = 24/32]的患者病情严重),25%(n = 12/48)的患者接受按需治疗,6%(n = 3/48)的患者未接受 FIX 替代产品治疗。一名患者的治疗状况不明。预防性治疗的使用率随疾病严重程度而增加;轻度/中度疾病患者中使用预防性治疗的占 40%(n = 8/20),而重度疾病患者中使用预防性治疗的占 86%(n = 24/28)。最常见的合并症是关节病(71%)、滑膜炎(38%)、精神和行为障碍(23%)、循环系统疾病(21%)以及内分泌、营养和代谢疾病(23%)。肌肉骨骼系统疾病(80% 和 46%)、关节病(80% 和 46%)和滑膜炎(43% 和 23%)分别在年龄≥ 12 岁和 &lt; 12 岁的患者中最为常见。88%的患者(93%为重症患者,80%为轻度/中度患者)使用止痛药,最常见的是对乙酰氨基酚(83%)和塞来昔布(25%)。总体而言,18/20(90%)名轻度/中度患者和27/28(96%)名重症患者报告了≥1次出血事件。ABR 与疾病严重程度相对应;轻度/中度血友病 B 患者的平均 ABR 为 2.5 (1.3; 0-4.3),重度患者为 4.5 (1.5; 0-5.4)(图 1A)。这些模式与年龄组无关(&lt; 12 岁,图 1B;≥ 12 岁,图 1C)。对于接受预防性治疗的患者,轻度/中度疾病患者的平均 ABR 相似,中位 ABR 则高于重度疾病患者(图 1D)。体重指数超出正常体重范围的患者的 ABR 一般较高,平均 ABR 分别为 2.4、1.8、4.0(图 1D)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multiyear, real-world, retrospective cohort study using a patient-centric approach to evaluate the burden of haemophilia B in the United States

Multiyear, real-world, retrospective cohort study using a patient-centric approach to evaluate the burden of haemophilia B in the United States

Dear Editor,

Haemophilia is associated with a high burden of illness. As disease severity worsens, people with haemophilia B (PwHB) experience greater loss of productivity, higher costs,1 and reduced quality of life.2 The hallmark of severe haemophilia is spontaneous bleeding into joints and muscles that may lead to long-term joint damage and pain.3 The current standard of care for severe haemophilia B is prophylaxis with intravenous factor replacement therapy.3 However, the treatment armamentarium for PwHB is expanding with investigational non-factor replacement therapies (anti-tissue factor pathway inhibitor, serpins, and small interfering RNA therapy targeting antithrombin) and advances in gene therapies.3, 4

Real-world data (RWD) can help elucidate the burden of illness among PwHB and inform care decisions.1 However, sources such as insurance claims are confined to billing codes and often lack data on disease severity and/or bleeding events.1 Electronic health records (EHRs) contain narrative text with outcomes and disease characterisation data,5 but information captured may vary between organisations and records are not always accessible electronically.6

PicnicHealth is a novel patient-centric RWD platform incorporating multiyear, cross-institutional patient medical records (electronic and non-electronic). The PicnicHealth platform retrieves medical records directly from providers regardless of provider system, digitises medical records and produces a real-world dataset of a patient's medical journey. Clinical information is gathered retrospectively from structured and narrative sections of the medical records, digital imaging and communications in medicine images, medical and pharmacy claims and patient-reported outcomes.7 We describe the results of a retrospective cohort study using longitudinal medical record data from PicnicHealth to assess the real-world burden of illness among PwHB in the United States.

From June 2020, PwHB (or their caregivers) were identified through social media outreach, provider partnerships, and patient advocacy groups. The study population included male PwHB who had medical records available between 1 April 2015 and 30 September 2020 (index date was the first encounter date in the dataset defined by haemophilia B diagnosis or factor IX [FIX] treatment). Exclusion criteria included recipients of any bypassing agent, inhibitor diagnosis (historical or current) and clinical trial enrolment. Data production and analysis are described in the Supplementary Methods. Descriptive statistics were reported for PwHB with data on annualised bleeding rate (ABR) after the index date. The cohort was stratified by disease severity, age (< 12 or ≥ 12 years old on index date), treatment regimen (prophylaxis or on demand) and body mass index (BMI).

Of 93 male PwHB identified within the PicnicHealth dataset, 75 were without inhibitors, not enrolled in a clinical trial and had documented disease severity. Of these, 48 had ABR data. Median (range) age was 21 (0−64) years; most patients were White (65%) and aged ≥ 12 years (73%) (Table 1). Haemophilia B was mild/moderate in 42% (= 20/48) and severe in 58% (= 28/48) of patients. Overall, 67% (= 32/48) were receiving prophylaxis (75% [= 24/32] of those had severe disease), 25% (= 12/48) received on-demand treatment and 6% (= 3/48) were not receiving a FIX replacement product. Treatment status was unknown for one patient. Prophylaxis use increased with disease severity; 40% (= 8/20) of patients with mild/moderate disease used prophylaxis compared with 86% (= 24/28) in those with severe disease.

The most frequent comorbid conditions were arthropathy (71%), synovitis (38%), mental and behavioural disorders (23%), diseases of the circulatory system (21%), and endocrine, nutritional, and metabolic diseases (23%). Comorbidities were reported in the same proportion (75%) of patients with mild/moderate and severe haemophilia B. Diseases of the musculoskeletal system (80% and 46%), arthropathy (80% and 46%) and synovitis (43% and 23%) were most frequently reported in patients aged ≥ 12 years and < 12 years, respectively. Pain medication was used by 88% of patients (93% with severe disease, 80% with mild/moderate disease), most commonly acetaminophen (83%) and celecoxib (25%).

Overall, 18/20 (90%) patients with mild/moderate disease and 27/28 (96%) with severe disease reported ≥1 bleeding event. ABR corresponded to disease severity; mean (median; interquartile range) ABR was 2.5 (1.3; 0−4.3) in patients with mild/moderate haemophilia B and 4.5 (1.5; 0−5.4) in those with severe disease (Figure 1A). These patterns were observed regardless of age group (< 12 years, Figure 1B; ≥ 12 years, Figure 1C). For those on prophylaxis, mean ABR was similar and median ABR was higher in patients with mild/moderate than severe disease (Figure 1D). ABR was generally higher in those with BMI outside the normal weight range, with a mean ABR of 2.4, 1.8, 4.5 and 6.8 in PwHB who were underweight (BMI <18.5 kg/m2; = 9), normal weight (18.5−24.9 kg/m2; n = 17), overweight (25.0−29.9 kg/m2; = 11) and obese (≥30 kg/m2; = 11), respectively.

In this real-world cohort of PwHB, most patients (94%) reported ≥ 1 bleeding event. Disease burden was characterised by an increasing ABR associated with disease severity, numerous comorbid conditions and substantial use of pain medication. The Hemophilia Utilization Group Studies from 10 US-based haemophilia treatment centres (= 112) also reported increases in ABR with disease severity: mean ABR was 3.5 (SD 5.1) and 7.1 (SD 7.7) for mild/moderate and severe disease, respectively.1 In the ‘Cost of Haemophilia in Europe: a Socioeconomic Survey’ data set (CHESS II) from six European countries (= 707), disease severity was associated with bleeding outcomes and was a significant predictor of increasing humanistic and economic burden.2 In our study, prophylaxis use increased with disease severity. This is consistent with findings of a large study of prophylaxis in haemophilia B patients from the Centers for Disease Control and Prevention's Universal Data Collection project in the United States, where severity was strongly associated with prophylaxis use.8

More severe diseases and age ≥ 12 years were associated with an increased rate of comorbid conditions, most notably arthropathy and synovitis. More than 80% of PwHB aged ≥ 12 years with severe disease experienced arthropathy. World Federation of Hemophilia guidance recognises that even with prophylaxis, clinical and subclinical bleeds cause progressive joint damage.3 Mental and behavioural disorders occurred in 29% of PwHB with severe disease who were ≥ 12 years of age. Observations from the CHESS II dataset support these findings, with greater health-related quality of life impairments with increasing disease severity2 and more annual bleeds.9

The highest average ABR occurred in PwHB classified as obese or overweight; those classified as normal weight had the lowest ABR. Higher bleeding rates in those with obesity could be related to lower prophylaxis use,8 as well as difficulties with venous access and ability to self-infuse.10 However, there is some inconsistency between studies exploring bleeding and obesity, as other reports suggest patients with overweight/obesity have lower bleeding rates possibly due to reduction in physical activity.3 Potential variability in levels of physical activity, intrinsic bleeding tendency and treatment characteristics limit the interpretability of these findings.

Pain medication was used frequently, with acetaminophen being the most common, particularly in patients < 12 years of age. Increased use of pain medication was observed with worsening disease severity, with celecoxib and acetaminophen more commonly used in patients with severe disease. In a subgroup analysis of adults with haemophilia A in CHESS II, pain and burden of disease increased with the number of bleeds.9 This highlights the need for appropriate and timely treatment to avoid long-term joint damage and pain.3

These findings need to be considered in the context of the study limitations, including relatively small sample sizes (especially for those < 12 years of age). Results may not be representative of those with milder disease severities given the high proportion of patients with severe disease included. Psychological diagnoses may be under-recorded, as providers may not release sensitive psychological diagnoses, especially in the paediatric population. Pain medication could be used for conditions other than haemophilia B or its complications. Patients self-select into the PicnicHealth platform, which could bias the study. Medical records may be irretrievable, lost or uninterpretable, causing gaps in longitudinal data. Bleeds that are minor or resolved quickly may be underreported in medical records. Clinical information on diagnoses and symptoms was gathered retrospectively and therefore relied upon accurate reporting, but there is potential for similar presentations such as synovitis and acute bleeds to be miscoded. Patients may not report all their providers, making data retrieval incomplete; however, PicnicHealth uses other information sources, such as claims linkage, to search for providers that are potentially missing. Finally, adult patient records do not always contain a date of diagnosis because severe haemophilia is usually diagnosed during infancy and most US states only guarantee healthcare data retention for up to 7 years, so some instances of burden faced during the period immediately following diagnosis (e.g., ABR, the effectiveness of treatment regimen, treatment switches) may not be captured.

Notably, 90% of patients with mild/moderate haemophilia B and 96% of those with severe disease reported ≥1 bleeding event. Pain medication was used in 88% of patients overall and 80% of those with mild/moderate disease. Overall, only 67% were receiving prophylaxis. These RWD demonstrate an ongoing burden from bleeding episodes, associated comorbidities, and pain medication use in a cohort of paediatric and adult PwHB, even among those using prophylaxis. These observations demonstrate current shortcomings in prevention of joint disease and underscore the need for enhanced use of prophylaxis and continued treatment advancements in haemophilia B.

Arianna Burton, Yong Chen, Priya Patel, and Patrick F. Fogarty conceptualized and designed the study, and analysed and interpreted the data. Yong Chen, Jose Alvir, Darren Kailung Jeng, Anna Stachel Kane, Jiayin Xue, and Emily Cibelli acquired, analysed, and interpreted the data. All authors participated in the critical review and final approval of the version to be submitted.

A.B., Y.C., P.P., and A.S.K. are employees of and own stocks and/or options in Pfizer. D.K.J. is an employee of Pfizer. J.A. and P.F.F. were employees of Pfizer at the time of this work and own stocks in Pfizer. J.X. was an employee of PicnicHealth at the time of this work. E.C. is an employee of PicnicHealth and owns stock options in PicnicHealth.

This study was sponsored by Pfizer.

Each PwHB (or their caregiver) signed a Health Insurance Portability and Accountability Act authorisation for PicnicHealth to contact their healthcare providers, retrieve their medical records and share their de-identified data for research. Records were collected from any US provider, at any healthcare facility caring for the patient. The study protocol and consent forms received institutional research board approval.

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来源期刊
Haemophilia
Haemophilia 医学-血液学
CiteScore
6.50
自引率
28.20%
发文量
226
审稿时长
3-6 weeks
期刊介绍: Haemophilia is an international journal dedicated to the exchange of information regarding the comprehensive care of haemophilia. The Journal contains review articles, original scientific papers and case reports related to haemophilia care, with frequent supplements. Subjects covered include: clotting factor deficiencies, both inherited and acquired: haemophilia A, B, von Willebrand''s disease, deficiencies of factor V, VII, X and XI replacement therapy for clotting factor deficiencies component therapy in the developing world transfusion transmitted disease haemophilia care and paediatrics, orthopaedics, gynaecology and obstetrics nursing laboratory diagnosis carrier detection psycho-social concerns economic issues audit inherited platelet disorders.
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