Selegiline and mortality in subjects with Parkinson’s disease

塞莱吉林 医学 内科学 队列 药方 左旋多巴 死亡率 队列研究 相对风险 疾病 儿科 帕金森病 置信区间 药理学
作者
Peter T. Donnan,Douglas Steinke,C. Stubbings,P. G. Davey,Thomas M. MacDonald
出处
期刊:Neurology [Ovid Technologies (Wolters Kluwer)]
卷期号:55 (12): 1785-1789 被引量:41
标识
DOI:10.1212/wnl.55.12.1785
摘要

To estimate mortality by drug use in a cohort of patients with PD relative to age- and sex-matched comparators.two longitudinal cohorts of patients with 7 and 11 years' duration of PD were constructed with matched comparators in Tayside, Scotland. Subjects were eligible for inclusion if they received a first prescription for an anti-Parkinson's drug from July 1989 to December 1995, with no PD drug prescription in the previous 6 months. Those who had previously taken a neuroleptic drug or were younger than 40 years of age were excluded.Overall, subjects with PD in relation to comparators had higher mortality with a rate ratio (RR) of 1.76 (95% CI 1.11, 2.81) in the 7-year cohort. There was significantly greater mortality in patients with PD who received levodopa monotherapy (RR = 2.45, 95% CI 1.42, 4.23) relative to the comparators, adjusting for previous cardiovascular drug use and diabetes. However, there was no significant difference in mortality in those with PD receiving combination therapy of selegiline with levodopa and other drugs in relation to the comparators (RR = 0.92, 95% CI 0.37, 2.31).Subjects with PD had twice the rate of mortality relative to age- and sex-matched comparators. However, those subjects who received selegiline at any time in combination with co-careldopa or co-beneldopa showed no significant difference in mortality compared with the comparators. Monotherapy with levodopa was associated with the highest mortality.
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
chenxt发布了新的文献求助10
刚刚
d22110652发布了新的文献求助10
1秒前
泡泡发布了新的文献求助10
2秒前
3秒前
搜集达人应助科研通管家采纳,获得10
4秒前
yar应助科研通管家采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
4秒前
4秒前
大个应助科研通管家采纳,获得10
4秒前
5秒前
yar应助科研通管家采纳,获得10
5秒前
劲秉应助科研通管家采纳,获得150
5秒前
李健应助科研通管家采纳,获得10
5秒前
yar应助科研通管家采纳,获得10
5秒前
Owen应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
鲤鱼鸽子完成签到,获得积分10
6秒前
壮观以松发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
sc完成签到,获得积分20
8秒前
moon发布了新的文献求助10
8秒前
wanci应助chenxt采纳,获得10
9秒前
我想吃薯条关注了科研通微信公众号
10秒前
rpr完成签到,获得积分10
12秒前
12秒前
13秒前
yhw完成签到,获得积分10
13秒前
聪慧海蓝发布了新的文献求助10
14秒前
14秒前
uvk发布了新的文献求助10
14秒前
甜蜜不悔发布了新的文献求助30
15秒前
16秒前
李程发布了新的文献求助10
16秒前
李健的小迷弟应助000采纳,获得10
16秒前
江南烟雨如笙完成签到 ,获得积分10
16秒前
17秒前
17秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3475521
求助须知:如何正确求助?哪些是违规求助? 3067434
关于积分的说明 9103960
捐赠科研通 2758870
什么是DOI,文献DOI怎么找? 1513819
邀请新用户注册赠送积分活动 699819
科研通“疑难数据库(出版商)”最低求助积分说明 699163