Cardiovascular morbidity and mortality in patients with aortic valve sclerosis: A systematic review and meta-analysis

Matteo Nicola Dario Di Minno1, Alessandro Di Minno2, Pasquale Ambrosino3

  • 1Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, Naples, Italy.

Insights

Aortic valve sclerosis (AVSc) is linked to increased risks of coronary artery disease, stroke, and cardiovascular mortality. Screening for AVSc may improve cardiovascular risk stratification and patient monitoring.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Geriatrics

Background:

  • Aortic valve sclerosis (AVSc) is a common finding, but its association with cardiovascular (CV) events remains debated.
  • Previous studies have yielded inconsistent results regarding the link between AVSc and adverse CV outcomes.

Purpose of the Study:

  • To conduct a meta-analysis evaluating the association between AVSc and fatal/non-fatal CV and cerebrovascular events.
  • To quantify the risk of coronary artery disease (CAD), stroke, and CV mortality in patients with AVSc.

Main Methods:

  • Systematic literature search of PubMed, Web of Science, Scopus, and EMBASE databases.
  • Inclusion of 31 studies with 10,537 AVSc patients and 25,005 controls.
  • Meta-analysis of Odds Ratios (OR) and attributable risks for CAD, stroke, and CV mortality.

Main Results:

  • AVSc patients had a significantly higher risk of CAD (OR: 2.02), stroke (OR: 1.41), and CV mortality (OR: 2.70) compared to controls.
  • Attributable risks were substantial: 35.8% for CAD, 33.0% for stroke, and 67.7% for CV mortality.
  • Findings were consistent when using multivariate analysis results.

Conclusions:

  • AVSc is significantly associated with increased risks of CAD, stroke, and CV mortality.
  • Patients with AVSc may benefit from intensified CV risk monitoring.
  • AVSc screening could be integrated into cardiovascular risk stratification protocols.
Abstract

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Heart Valves01:16

Heart Valves

The human heart is a complex organ with an intricate system of valves that regulate blood flow. There are two main types of valves: atrioventricular (AV) valves and semilunar valves.
The AV valves prevent the backflow of blood from the ventricles to the atria during ventricular contraction. These valves function with the assistance of the chordae tendineae and papillary muscles. When the ventricles are relaxed, the chordae tendineae are slack, allowing blood to flow from the atria into the...
12.3K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.2K
Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
6.0K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K