Review Article

Investigation on Cardiovascular Risk Prediction Using Physiological Parameters

Table 3

Established and potential physiological risk factors used for prediction of cardiovascular diseases.

Physiological
parameters
Predictors Significance and limitationsPredictive
power

BP
 Resting BPUsual BP
Visit-to-visit BPV
Maximum BP
Measures the brachial artery cuff blood pressure. Strong risk factors for CV prediction. Cuffless and continuous monitoring are under improvement.+++++
 ABPMDaytime BP mean
Nighttime BP
24-h mean BP
Night-to-day BP ratio
Night BPV
Day BPV
24-hour BPV
Measures the ambulatory blood pressure fluctuation. Provides additional important information over clinic blood pressure. Elevated night-time BP is a better predictor of cardiovascular risk than clinic BP, 24-hour BP means or daytime BP means. The predictive values of reading-to-reading BPV still remain low and conflicting. ++++
+
 Stress BPSub maximal BP
Maximal BP
Recovery BP after exercise
Provide additional prognostic information in CV prediction beyond normal rest blood pressure. The results remain controversial depending on different exercise BP indexes adopted.++
+
++

ECG
 Resting ECGResting heart rate
LVH
ST segment depression
Negative T wave
Pathological Q-wave
LBBB
Arrhythmias
Prolonged QRS duration
QT interval prolongation
Major and minor abnormalities
ECG strain pattern
Ischemic ECG findings
Composite ECG score
Measures the electrical activity of the heart and relates to short-term risk of CVD. Resting heart rate is a strong, graded, and independent risk factor. Repolarization abnormalities in combination with LVH show great prediction value. Noncontact wireless ECG sensors based on capacitively coupled principle are becoming washable and can be integrated in clothing or wearable accessories for unobtrusive monitoring.++++
 Ambulatory ECGNighttime heart rate
Night-to-day heart rate ratio
HRV
The prediction value of ambulatory heart rate remains low and somewhat controversial. HRV measures the vagal and sympathetic modulation of the sinus node.++
+
 Stress ECGExercise-induced ST-segment depression
Chronotropic incompetence
Reduced heart rate recovery
Exercise-induced abnormalities
Composite ECG score
Exercise capacity
Duke treadmill score
Nomogram-illustrated model
Provide additional prognostic information beyond normal resting ECG. Chronotropic incompetence, reduced heart rate recovery, and exercise capacity are proved to be strong predictors. The predictive values of others remain low. Heart rate recovery is still limited by the variable recovery protocols and variable criteria for abnormality.+++

Arterial Stiffness
 Aortic PWVcfPWVClinical gold standard for assessing aortic stiffness.Pressure dependent, without information of the wave reflection and other artery geometry information. Inaccurate measurement of the distance.+++
baPWV Widely used in large scale trials for its convenience measurement.++
 Pulse wave analysisAIx
Central SBP
PP
Reflected wave magnitude
AASI
Offering wave reflection information. Indirect indicator of arterial stiffness.++

Blood glucoseDiabetes mellitus
Impaired fasting glucose
Impaired glucose tolerance
Combined IFG & IGT
Strong, graded, and independent predictors. Technical advances in noninvasive and continuous glucose monitoring are under development.++++
+
++
+++

ABIABI < 0.9
ABI > 1.4
Indicating the presence of peripheral artery disease
Indicating calcified arteries
++++
++++

BP: blood pressure; CV: cardiovascular; ABPM: ambulatory blood pressure monitoring; BPV: blood pressure variability; ECG: electrocardiogram; LVH: left ventricular hypertrophy; CVD: cardiovascular disease; LBBB: left bundle branch blocks; HRV: heart rate variability; cfPWV: carotid femoral pulse wave velocity; baPWV: brachial-ankle pulse wave velocity; Aix: aortic augmentation index; SBP: systolic blood pressure; PP: pulse pressure; AASI: ambulatory arterial stiffness index; ABI: ankle-brachial blood pressure index; IFG: impaired fasting glucose; IGT: impaired glucose tolerance.