Predicting Survival in Patients With Pulmonary Arterial Hypertension

医学 指南 统计的 队列 肺动脉高压 内科学 队列研究 弗雷明翰风险评分 风险评估 疾病 重症监护医学 急诊医学 统计 病理 计算机科学 计算机安全 数学
作者
Raymond L. Benza,Mardi Gomberg‐Maitland,C. Gregory Elliott,Harrison W. Farber,Aimee J. Foreman,Adaani Frost,Michael D. McGoon,David J. Pasta,Mona Selej,Charles D. Burger,Robert P. Frantz
出处
期刊:Chest [Elsevier BV]
卷期号:156 (2): 323-337 被引量:629
标识
DOI:10.1016/j.chest.2019.02.004
摘要

BackgroundPulmonary arterial hypertension is a progressive, fatal disease. Published treatment guidelines recommend treatment escalation on the basis of regular patient assessment with the goal of achieving or maintaining low-risk status. Various strategies are available to determine risk status. This analysis describes an update of the Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) risk calculator (REVEAL 2.0) and compares it with recently published European Society of Cardiology/Respiratory Society guideline-derived risk assessment strategies.MethodsA subpopulation from the US-based registry REVEAL that survived ≥ 1 year postenrollment (baseline for this cohort) was analyzed. For REVEAL 2.0, point values and cutpoints were reassessed, and new variables were evaluated. The Kaplan-Meier method was used to estimate survival at 12 months postbaseline; discrimination was quantified using the c-statistic. Mortality estimates and discrimination were compared between REVEAL 2.0 and Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) and French Pulmonary Hypertension Registry (FPHR) risk assessment strategies. For this comparison, a three-category REVEAL 2.0 score was computed in which patients were classified as low-, intermediate-, or high-risk.ResultsREVEAL 2.0 demonstrated similar discrimination as the original calculator in this subpopulation (c-statistic = 0.76 vs 0.74), provided excellent separation of risk among the risk categories, and predicted clinical worsening as well as mortality in patients who were followed ≥ 1 year. The REVEAL 2.0 three-category score had greater discrimination (c-statistic = 0.73) than COMPERA (c-statistic = 0.62) or FPHR (c-statistic = 0.64). Compared with REVEAL 2.0, COMPERA and FPHR both underestimated and overestimated risk.ConclusionsREVEAL 2.0 demonstrates greater risk discrimination than the COMPERA and FPHR risk assessment strategies in patients enrolled in REVEAL. After external validation, the REVEAL 2.0 calculator can assist clinicians and patients in making informed treatment decisions on the basis of individual risk profiles.Trial RegistryClinicalTrials.gov; No. NCT00370214; URL: www.clinicaltrials.gov. Pulmonary arterial hypertension is a progressive, fatal disease. Published treatment guidelines recommend treatment escalation on the basis of regular patient assessment with the goal of achieving or maintaining low-risk status. Various strategies are available to determine risk status. This analysis describes an update of the Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) risk calculator (REVEAL 2.0) and compares it with recently published European Society of Cardiology/Respiratory Society guideline-derived risk assessment strategies. A subpopulation from the US-based registry REVEAL that survived ≥ 1 year postenrollment (baseline for this cohort) was analyzed. For REVEAL 2.0, point values and cutpoints were reassessed, and new variables were evaluated. The Kaplan-Meier method was used to estimate survival at 12 months postbaseline; discrimination was quantified using the c-statistic. Mortality estimates and discrimination were compared between REVEAL 2.0 and Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) and French Pulmonary Hypertension Registry (FPHR) risk assessment strategies. For this comparison, a three-category REVEAL 2.0 score was computed in which patients were classified as low-, intermediate-, or high-risk. REVEAL 2.0 demonstrated similar discrimination as the original calculator in this subpopulation (c-statistic = 0.76 vs 0.74), provided excellent separation of risk among the risk categories, and predicted clinical worsening as well as mortality in patients who were followed ≥ 1 year. The REVEAL 2.0 three-category score had greater discrimination (c-statistic = 0.73) than COMPERA (c-statistic = 0.62) or FPHR (c-statistic = 0.64). Compared with REVEAL 2.0, COMPERA and FPHR both underestimated and overestimated risk. REVEAL 2.0 demonstrates greater risk discrimination than the COMPERA and FPHR risk assessment strategies in patients enrolled in REVEAL. After external validation, the REVEAL 2.0 calculator can assist clinicians and patients in making informed treatment decisions on the basis of individual risk profiles.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
初十应助YunyeTao采纳,获得10
1秒前
zcx完成签到,获得积分10
1秒前
2秒前
3秒前
4秒前
JLL丽丽完成签到,获得积分10
5秒前
5秒前
5秒前
真实的羊青完成签到,获得积分10
9秒前
赵浩楠发布了新的文献求助10
10秒前
脸脸完成签到,获得积分10
10秒前
cdercder应助Piky采纳,获得10
12秒前
LY发布了新的文献求助10
12秒前
汤姆完成签到,获得积分10
15秒前
17秒前
善燚发布了新的文献求助10
21秒前
21秒前
赵浩楠发布了新的文献求助10
24秒前
28秒前
NattyPoe发布了新的文献求助10
31秒前
小马甲应助研友_Ljb0qL采纳,获得10
31秒前
核桃发布了新的文献求助30
32秒前
ZH发布了新的文献求助10
35秒前
Limerence完成签到 ,获得积分10
37秒前
38秒前
西瓜完成签到,获得积分10
39秒前
研友_VZG7GZ应助小豆包采纳,获得10
40秒前
小张完成签到 ,获得积分10
40秒前
科研通AI6.4应助奔流的河采纳,获得10
41秒前
糊涂的曼冬完成签到,获得积分10
41秒前
Orange应助hana采纳,获得10
43秒前
43秒前
可靠小懒虫完成签到,获得积分10
47秒前
杜青完成签到,获得积分10
50秒前
彭于晏应助海孩子采纳,获得10
50秒前
努力科研完成签到,获得积分10
53秒前
如意巨人完成签到,获得积分10
55秒前
共享精神应助傻傻的修洁采纳,获得10
56秒前
57秒前
59秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7175858
求助须知:如何正确求助?哪些是违规求助? 8816007
关于积分的说明 18624094
捐赠科研通 6794889
什么是DOI,文献DOI怎么找? 3169278
关于科研通互助平台的介绍 2312890
邀请新用户注册赠送积分活动 2143984