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咖啡因复方制剂、对乙酰氨基酚、乙酰水杨酸(阿司匹林)及非甾体抗炎药在发作性偏头痛急性治疗中治疗反应的预测因素

Predictors of treatment-response to caffeine combination products, acetaminophen, acetylsalicylic acid (aspirin), and nonsteroidal anti-inflammatory drugs in acute treatment of episodic migraine.

作者信息

Ezzati Ali, Fanning Kristina M, Reed Michael L, Lipton Richard B

机构信息

Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.

Mist Research, Wilmington, North Carolina, USA.

出版信息

Headache. 2023 Mar;63(3):342-352. doi: 10.1111/head.14459. Epub 2023 Feb 7.

Abstract

OBJECTIVE

To identify predictors of acute treatment optimization for migraine with "over-the-counter" (OTC) or prescription nonsteroidal anti-inflammatory drugs (NSAIDs) as well as other widely used OTCs including acetaminophen, caffeine combination products (CCP), and acetylsalicylic acid (ASA, aspirin) among people with episodic migraine and to develop models that predict treatment response to each class of OTCs.

BACKGROUND

Efficacy of acute OTC medications for migraine varies greatly. Identifying predictors of treatment response to particular classes of medication is a step toward evidence-based personalized therapy.

METHODS

For this prediction model development study, we used data from 2224 participants from the American Migraine Prevalence and Prevention (AMPP) study who were aged ≥18 years, met criteria for migraine, had <15 monthly headache days, and reported being on monotherapy for acute migraine attacks with one of the following classes medications: CCP (N = 711), acetaminophen (N = 643), ASA (N = 110), and prescription or OTC NSAIDs (N = 760). The primary outcome measures of treatment optimization were adequate 2-h pain freedom (2hPF) and adequate 24-h pain relief (24hPR), which were defined by responses of half the time or more to the relevant items on the Migraine Treatment Optimization Questionnaire-6.

RESULTS

The mean (SD) age of the participants was 46.2 (13.1) years, 79.4% (1765/2224) were female, 43.7% (972/2224) reported adequate 2hPF, and 46.1% (1025/2224) reported adequate 24hPR. Those taking CCP had better 2hPF and 24PR outcomes. For those taking NSAIDs, better outcomes were associated with lower average pain intensity (2hPF: odds ratio [OR] 0.89, 95% confidence interval [CI] 0.80-0.99; 24PR: OR 0.86, 95% CI 0.77-0.96), cutaneous allodynia (2hPF: OR 0.92, 95% CI 0.89-0.96; 24PR: OR 0.91, 95% CI 0.87-0.95), depressive symptoms (2hPF: OR 0.95, 95% CI 0.92-0.98; 24PR: OR 0.95, 95% CI 0.91-0.99), and Migraine Disability Assessment Scale (MIDAS) grade (2hPF: OR 0.76, 95% CI 0.64-0.90; 24PR: OR 0.79, 95% CI 0.65-0.95). Adequate 2hPF for those taking CCP was associated with male gender (OR 1.83, 95% CI 1.21-2.77), lower average pain intensity (OR 0.80, 95% CI 0.70-0.91), lower cutaneous allodynia (OR 0.94, 95% CI 0.90-0.97), and lower Migraine Symptom Severity Scale Score (MSSS; OR 0.91, 95% CI 0.86-0.97). Adequate 24hPR for those taking CCP was associated with lower average pain intensity (OR 0.85, 95% CI 0.75-0.96), lower cutaneous allodynia (OR 0.92, 95% CI 0.89-0.96), and lower MIDAS grade (OR 0.81, 95% CI 0.68-0.96). Participants who were married (OR 1.51, 95% CI 1.05-2.19), had lower average pain intensity (OR 0.79, 95% CI 0.70-0.89), lower MSSS (OR 0.93, 95% CI 0.88-0.99), less depression (OR 0.96, 95% CI 0.93-0.99), and lower MIDAS grade (OR 0.72, 95% CI 0.59-0.87) had adequate 2hPF after taking acetaminophen. Participants who were married (OR 1.50, 95% CI 1.02-2.21), had lower pain intensity (OR 0.78, 95% CI 0.69-0.88), less depression (OR 0.95, 95% CI 0.91-0.98) and lower MIDAS grade (OR 0.53, 95% CI 0.42-0.67) had higher 24hPR following use of acetaminophen. A lower MSSS was the only factor associated with higher 2hPF and 24PR after using ASA (OR 0.78, 95% CI 0.67-0.92 and OR 0.79, 95% CI 0.67-0.93). Predictive models had modest performance in identifying responders to each class of OTC.

CONCLUSION

A large subgroup of people with migraine had an inadequate response to their usual acute OTC migraine treatment 2- and 24-h after dosing. These findings suggest a need to improve OTC treatment for some and to offer prescription acute medications for others. Predictive models identified several factors associated with better treatment-response in each OTC class. Selecting OTC treatment based on factors predictive of treatment optimization might improve patient outcomes.

摘要

目的

确定发作性偏头痛患者使用“非处方”(OTC)或处方非甾体抗炎药(NSAIDs)以及其他广泛使用的OTC药物(包括对乙酰氨基酚、咖啡因复方产品(CCP)和乙酰水杨酸(ASA,阿司匹林))进行急性治疗优化的预测因素,并建立预测对各类OTC药物治疗反应的模型。

背景

急性OTC偏头痛药物的疗效差异很大。确定对特定类别药物治疗反应的预测因素是迈向循证个性化治疗的一步。

方法

在这项预测模型开发研究中,我们使用了来自美国偏头痛患病率与预防(AMPP)研究的2224名参与者的数据,这些参与者年龄≥18岁,符合偏头痛标准,每月头痛天数<15天,并报告正在使用以下类别药物之一进行急性偏头痛发作的单药治疗:CCP(N = 711)、对乙酰氨基酚(N = 643)、ASA(N = 110)以及处方或OTC NSAIDs(N = 760)。治疗优化的主要结局指标是充分的2小时无痛(2hPF)和充分的24小时疼痛缓解(24hPR),这是由偏头痛治疗优化问卷-6中相关项目半数及以上时间的反应来定义的。

结果

参与者的平均(标准差)年龄为46.2(13.1)岁,79.4%(1765/2224)为女性,43.7%(972/2224)报告有充分的2hPF,46.1%(1025/2224)报告有充分的24hPR。服用CCP的患者2hPF和24PR结局更好。对于服用NSAIDs的患者,更好的结局与较低的平均疼痛强度(2hPF:比值比[OR]0.89,95%置信区间[CI]0.80-0.99;24PR:OR 0.86,95%CI 0.77-0.96)、皮肤异常性疼痛(2hPF:OR 0.92,95%CI 0.89-0.96;24PR:OR 0.91,95%CI 0.87-0.95)、抑郁症状(2hPF:OR 0.95,95%CI 0.92-0.98;24PR:OR 0.95,95%CI 0.91-0.99)以及偏头痛残疾评估量表(MIDAS)分级(2hPF:OR 0.76,95%CI 0.64-0.90;24PR:OR 0.79,95%CI 0.65-0.95)相关。服用CCP的患者充分的2hPF与男性性别(OR 1.83,95%CI 1.21-2.77)、较低的平均疼痛强度(OR 0.80,95%CI 0.70-0.91)、较低的皮肤异常性疼痛(OR 0.94,95%CI 0.90-0.97)以及较低的偏头痛症状严重程度量表评分(MSSS;OR 0.91,95%CI 0.86-0.97)相关。服用CCP的患者充分的24hPR与较低的平均疼痛强度(OR 0.85,95%CI 0.7-0.96)、较低的皮肤异常性疼痛(OR 0.92,95%CI 0.89-0.96)以及较低等级的MIDAS(OR 0.81,95%CI 0.68-0.96)相关。已婚(OR 1.51,95%CI 1.05-2.19)、平均疼痛强度较低(OR 0.79,95%CI 0.70-0.89)、MSSS较低(OR 0.93,95%CI 0.88-0.99)、抑郁较轻(OR 0.96,95%CI 0.93-0.99)以及MIDAS分级较低(OR 0.72,95%CI 0.59-0.87)的参与者在服用对乙酰氨基酚后有充分的2hPF。已婚(OR 1.50,95%CI 1.02-2.21)、疼痛强度较低(OR 0.78,95%CI 0.69-0.88)、抑郁较轻(OR 0.95,95%CI 0.91-0.98)以及MIDAS分级较低(OR 0.53,95%CI 0.42-0.67)的参与者在使用对乙酰氨基酚后有较高的24hPR。使用ASA后,较低的MSSS是与较高的2hPF和24PR相关的唯一因素(OR 0.78,95%CI 0.67-0.92和OR 0.79,95%CI 0.67-0.93)。预测模型在识别各类OTC药物的反应者方面表现一般。

结论

很大一部分偏头痛患者在服药后2小时和24小时对其常用的急性OTC偏头痛治疗反应不足。这些发现表明,需要改善部分患者的OTC治疗,并为其他患者提供处方急性药物。预测模型确定了与各类OTC药物更好治疗反应相关的几个因素。根据预测治疗优化的因素选择OTC治疗可能会改善患者结局。

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