• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

锂剂量方程:它们准确吗?

Lithium dosing equations: are they accurate?

机构信息

Medical University of South Carolina, Charleston, SC, USA.

出版信息

Ann Pharmacother. 2014 May;48(5):596-600. doi: 10.1177/1060028014524375. Epub 2014 Feb 27.

DOI:10.1177/1060028014524375
PMID:24577145
Abstract

BACKGROUND

Several equations are used to predict lithium doses necessary to attain therapeutic serum concentrations. A number of studies have evaluated these equations; however, few equations were compared simultaneously.

OBJECTIVE

To assess the accuracy and precision of published dosing equations in predicting daily lithium doses and to evaluate if pertinent laboratory tests were performed prior to initiation.

METHODS

A retrospective analysis was performed of patients who received lithium at the Medical University of South Carolina Institute of Psychiatry between July 2010 and July 2012. Using dosing equations, expected lithium doses were calculated based on corresponding serum concentrations identified in patient charts. Expected doses were then compared with actual lithium doses. The primary end point was to assess the accuracy and precision of dosing equations using mean differences in daily lithium doses and standard deviations. Secondary end points included presence of pertinent laboratory tests and use of concomitant interacting drugs .

RESULTS

Of 155 patients identified, 59 were eligible for analysis. Equations developed by Abou-Auda et al and Pepin et al did not predict doses that were significantly different from actual doses. Conversely, equations by Jermain et al, Terao et al, and Zetinet al did predict statistically different doses.

CONCLUSIONS

Abou-Auda et al developed a predictive lithium dosing equation that was more accurate than equations developed by Jermain et al, Terao et al, and Zetin et al and more precise than the Pepin et al equation. Further study evaluating the influence of equations on clinical outcomes is warranted.

摘要

背景

有几种方程可用于预测达到治疗性血清浓度所需的锂剂量。已经有许多研究评估了这些方程;然而,很少有方程同时进行比较。

目的

评估已发表的给药方程预测每日锂剂量的准确性和精密度,并评估在开始治疗前是否进行了相关的实验室检查。

方法

对 2010 年 7 月至 2012 年 7 月在南卡罗来纳医科大学精神病学研究所接受锂治疗的患者进行回顾性分析。使用给药方程,根据患者图表中确定的相应血清浓度计算预期的锂剂量。然后将预期剂量与实际锂剂量进行比较。主要终点是评估给药方程的准确性和精密度,方法是比较每日锂剂量的平均差异和标准差。次要终点包括是否存在相关实验室检查和使用伴随的相互作用药物。

结果

在确定的 155 例患者中,有 59 例符合分析条件。由 Abou-Auda 等人和 Pepin 等人开发的方程无法预测与实际剂量显著不同的剂量。相反,由 Jermain 等人、Terao 等人和 Zetinet 等人开发的方程确实预测了统计学上不同的剂量。

结论

Abou-Auda 等人开发的预测性锂给药方程比 Jermain 等人、Terao 等人和 Zetinet 等人开发的方程更准确,比 Pepin 等人的方程更精确。需要进一步研究评估这些方程对临床结果的影响。

相似文献

1
Lithium dosing equations: are they accurate?锂剂量方程:它们准确吗?
Ann Pharmacother. 2014 May;48(5):596-600. doi: 10.1177/1060028014524375. Epub 2014 Feb 27.
2
Application of the Cockcroft-Gault method to estimate lithium dosage requirement.应用Cockcroft-Gault方法估算锂剂量需求。
Psychiatry Clin Neurosci. 2007 Jun;61(3):269-74. doi: 10.1111/j.1440-1819.2007.01654.x.
3
A new accurate method for predicting lithium clearance and daily dosage requirements in adult psychiatric patients.一种预测成年精神病患者锂清除率和每日剂量需求的新精确方法。
Bipolar Disord. 2008 May;10(3):369-76. doi: 10.1111/j.1399-5618.2007.00549.x.
4
Comparison of three a priori methods and one empirical method in predicting lithium dosage requirements.三种先验方法和一种经验方法在预测锂剂量需求方面的比较。
Am J Health Syst Pharm. 2000 Sep 15;57(18):1698-702. doi: 10.1093/ajhp/57.18.1698.
5
A further prospective evaluation of an equation to predict daily lithium dose.对预测每日锂剂量的一个方程进行的进一步前瞻性评估。
J Clin Psychiatry. 1995 May;56(5):193-5.
6
[A comparative clinico-pharmacokinetic study of the use of equivalent daily doses of lithium carbonate and Contemnol].[碳酸锂与Contemnol等效日剂量使用的比较临床药代动力学研究]
Zh Nevrol Psikhiatr Im S S Korsakova. 1997;97(5):30-3.
7
A simpler and more accurate equation to predict daily lithium dose.一个更简单、更准确的预测每日锂剂量的方程式。
J Clin Psychopharmacol. 1999 Aug;19(4):336-40. doi: 10.1097/00004714-199908000-00009.
8
A prospective clinical evaluation of an equation to predict daily lithium dose.预测每日锂剂量方程的前瞻性临床评估。
J Clin Psychiatry. 1993 Feb;54(2):55-8.
9
Comparison of three a-priori models in the prediction of serum lithium concentration.三种先验模型在预测血清锂浓度中的比较。
Indian J Pharmacol. 2012 Mar;44(2):234-7. doi: 10.4103/0253-7613.93856.
10
A novel slow-release formulation of lithium carbonate (Carbolithium Once-A-Day) vs. standard Carbolithium: a comparative pharmacokinetic study.碳酸锂新型缓释制剂(每日一次卡马西平)与标准卡马西平的比较:一项药代动力学对比研究。
Clin Ter. 2002 Mar-Apr;153(2):107-15.

引用本文的文献

1
Predicting Serum Levels of Lithium-Treated Patients: A Supervised Machine Learning Approach.预测锂治疗患者的血清水平:一种监督式机器学习方法。
Biomedicines. 2021 Oct 28;9(11):1558. doi: 10.3390/biomedicines9111558.
2
In-vitro perforation of the round window membrane via direct 3-D printed microneedles.通过直接3D打印微针在体外对圆窗膜进行穿孔。
Biomed Microdevices. 2018 Jun 8;20(2):47. doi: 10.1007/s10544-018-0287-3.
3
Lithium Treatment for Agitation in Alzheimer's disease (Lit-AD): Clinical rationale and study design.锂治疗阿尔茨海默病激越(Lit-AD):临床原理和研究设计。
Contemp Clin Trials. 2018 Aug;71:33-39. doi: 10.1016/j.cct.2018.05.019. Epub 2018 May 31.