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DƯỢC LÍ Goodman & Gilman's The Pharmacological Basis of Therapeutics 12th, 2010

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Table 31–3

Treatment Based on LDL-C Levels (2004 Revision of NCEP Adult Treatment Panel III Guidelines)

LDL-C GOAL NON-HDL-C THERAPEUTIC THRESHOLD FOR

RISK CATEGORY (mg/dL) GOAL (mg/dL) LIFESTYLE CHANGE DRUG THERAPY (mg/dL)

Very high risk <70 a <100 No threshold No threshold

Atherosclerosis- (initiate change) (initiate therapy)

induced CHD plus one of:

• multiple risk factors

• diabetes mellitus

• a poorly controlled

single factor

• acute coronary syndrome

• metabolic syndrome

High risk <100 a <130 No threshold No threshold

CHD or CHD

equivalent

Moderately high risk <130 <160 No threshold ≥130

2+ risk factors (optional <100) (100-129) b

10-year risk: <10–20%

Moderate risk <130 <160 No threshold >160

2+ risk factors

10-year risk <10%

0–1 risk factor <160 <160 No threshold ≥190

(optional: 160–189) c

a

If pretreatment LDL-C is near or below LDL-C goal value, then a statin dose sufficient to lower LDL-C by 30-40% should be prescribed.

b

Patients in this category include those with a 10-year risk of 10-20% and one of the following: age >60 years, three or more risk factors,

a severe risk factor, triglycerides >200 mg/dL and HDL-C <40 mg/dL, metabolic syndrome, highly sensitive C-reactive protein (CRP) >3 mg/L, and

coronary calcium score (age/gender adjusted) >75th percentile.

c

Patients include those with any severe single risk factor, multiple major risk factors, 10-year risk >8%.

After attaining the LDL-C goal, additional therapy may be necessary to reach the non-HDL-C goal. CHD, coronary heart disease; CHD equivalent,

peripheral vascular disease, abdominal aortic aneurysm, symptomatic carotid artery disease, >20% 10-year CHD risk, or diabetes mellitus; HDL-C,

high-density-lipoprotein cholesterol; LDL-C, low-density-lipoprotein cholesterol; NCEP, National Cholesterol Education Program.

based on measurements of levels of cholesterol or apoA-I and apoB

(Mora, 2009).

In addition to plasma lipid levels and a fasting glucose level,

each subject requires an evaluation to assess the presence or absence

of the other major CVD risk factors: age, a family history of premature

CVD event, smoking, hypertension, type 2 diabetes mellitus,

and obesity (Table 31–5). There are a host of additional novel risk

factors that are being evaluated to determine if they will improve

current risk prediction assessment schemes based on lipid levels and

the established major CVD risk factors (Table 31–5). Thus far, routine

use of any of these novel risk factors has not been shown to

improve risk prediction (Folsom et al., 2006; Lloyd-Jones and Tian,

2006). However, in certain primary prevention patients, two of the

recently described risk factors, C-reactive protein (CRP) and assessment

of the extent of coronary calcification, may improve risk

assessment beyond that based on the traditional major risk factors

(Tables 31–3 and 31–5).

Using the values for levels of total cholesterol and HDL-C

and the results of the assessment for the other major CHD risk factors,

the next step is to calculate a person’s risk of having a CHD event

over the next 10 years. Risk prediction tables based on observational

studies conducted by the Framingham Heart Study are used to calculate

this 10-year risk. This approach to risk assessment was

adopted by the NCEP, but in the 2001 ATP III guidelines, the risk

prediction model predicted only the 10-year risk of having a fatal or

nonfatal myocardial infarction. However, the same risk factors that

are associated with development of myocardial infarction also promote

other CVD events, including stroke, transient ischemic attack,

peripheral vascular disease, and heart failure. Furthermore, many

patients who develop acute coronary syndrome do not sustain a

myocardial infarction because of thrombolytic therapy and revascularization

procedures (angioplasty and bypass graft surgery).

Because cholesterol-lowering therapy is beneficial to prevent CVD

events in patients with any of these manifestations of CVD, it

became apparent that it would be useful for primary care physicians

to be able to predict a patient’s risk of developing any one of these

manifestations of CVD, not just CHD. New general CVD 10-year

risk prediction tables are now available from the Framingham

Heart Study (D’Agostino et al., 2008; Wickramasinghe et al., 2009)

(Table 31–6). Ten-year risk calculated with the general CVD tables

will exceed 10-year risk calculated using the CHD tables from the

ATP III guidelines.

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