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临床实践中的血脂目标:成功、失败和经验教训。

Lipid targets in clinical practice: successes, failures and lessons to be learned.

机构信息

Tallaght Hospital, Dublin, Co Dublin, Ireland.

出版信息

Ir J Med Sci. 2013 Dec;182(4):673-8. doi: 10.1007/s11845-013-0954-6. Epub 2013 Apr 25.

Abstract

INTRODUCTION

Optimal risk factor control is integral to managing patients with proven coronary heart disease (CHD+) and for those at risk of coronary heart disease (CHD-). The primary aim of the study was to assess the success rate of reaching lipid risk factor targets in a multiple risk factor clinic.

METHODS

A retrospective audit was conducted in 488 patients (CHD+, n = 112; CHD-, n = 376) who attended the Cardiovascular Risk Factor Clinic at Tallaght Hospital, Dublin in 2009 and 2010.

RESULTS

Risk factor targets achieved in CHD+ and CHD- patients were LDLc (54/62 %), HDLc (67/67 %), systolic blood pressure (35/38 %), diastolic blood pressure (82/75 %), smoking cessation (27/26 %), BMI ≤ 30 (39/50 %) and normal waist circumference (27/39 %). Patients not reaching LDLc targets were found to be receiving fewer lipid-lowering drugs and having higher LDL levels at the initial clinic visit than those reaching targets.

DISCUSSION

This retrospective audit highlights gaps in achieving target lipid levels at a multiple risk factor clinic level. High initial LDLc levels and lack of drug titration are evident. Guideline changes, staff rotation, clinic visit frequency and multiplicity of targets may be contributory. More emphasis needs to be placed on education and algorithm-based strategies to achieve better risk factor control.

摘要

简介

优化风险因素控制对于管理已确诊冠心病(CHD+)患者和冠心病高危患者至关重要。本研究的主要目的是评估在多危险因素诊所中达到血脂风险因素目标的成功率。

方法

对 2009 年至 2010 年在都柏林塔拉赫特医院心血管危险因素诊所就诊的 488 例患者(CHD+,n=112;CHD-,n=376)进行了回顾性审计。

结果

CHD+和 CHD-患者的风险因素目标达标情况为:LDLc(54/62%)、HDLc(67/67%)、收缩压(35/38%)、舒张压(82/75%)、戒烟(27/26%)、BMI≤30(39/50%)和正常腰围(27/39%)。未达到 LDLc 目标的患者在初始就诊时接受的降脂药物较少,且 LDL 水平较高。

讨论

本回顾性审计突出了多危险因素诊所达到目标血脂水平方面的差距。初始 LDLc 水平较高和药物滴定不足是显而易见的。指南的改变、人员的轮转、就诊频率和目标的多样性可能是造成这种情况的原因。需要更加重视教育和基于算法的策略,以实现更好的风险因素控制。

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