Main Considerations of Cardiogenic Shock and Its Predictors: Systematic Review

Maria Christiane Valeria Braga Braile-Sternieri1, Eliana Migliorini Mustafa1, Victor Rodrigues Ribeiro Ferreira1,2

  • 1Domingo Braile Institute of Sao Jose do Rio Preto (SP), Rua Luiz Vaz de Camoes, 3111 - Vila Redentora, Sao Jose do Rio Preto - SP, 15015-750, Sao Paulo, Brazil.

Cardiology Research
|May 15, 2018
PubMed

Insights

Post-infarction cardiogenic shock (CS) mortality has decreased significantly. Biomarkers like troponin, CKMB, and lactate aid in diagnosing CS following acute myocardial infarction (AMI).

Area of Science:

  • Cardiology
  • Biochemistry

Background:

  • Post-infarction cardiogenic shock (CS) historically has a high mortality rate (80-90%).
  • Recent advancements have reduced hospital mortality to approximately 50%.
  • CS is defined as systemic hypoperfusion due to heart dysfunction, often caused by acute myocardial infarction (AMI).

Purpose of the Study:

  • To systematically review and correlate literary findings on CS evolution.
  • To examine changes in biomarkers such as troponin, lactate, and CKMB in relation to CS.

Main Methods:

  • Systematic literature review and meta-analysis.
  • Search using Mesh terms: cardiogenic shock, acute myocardial infarction, biomarkers, troponin, CKMB, lactate, clinical trials.
  • Analysis of 96 collated papers, with 41 selected studies following PRISMA guidelines.

Main Results:

  • Identified risk factors for CS in AMI include advanced age, female gender, anterior infarction, diabetes, hypertension, and prior cardiac events.
  • Complications like mitral regurgitation and ventricular rupture contribute to CS severity.
  • Diagnostic criteria include clinical signs, hemodynamic measurements (e.g., BP < 90 mmHg, CI < 2.2 L/min/m²), and elevated biomarkers.

Conclusions:

  • Biomarker levels (troponin, CKMB, lactate) are key predictors in diagnosing and managing CS.
  • Prompt revascularization is crucial for improving patient prognosis.
  • Integrating biomarker analysis into clinical practice aids diagnosis and assessment of myocardial damage in CS cases.

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
Shock Waves01:16

Shock Waves

While deriving the Doppler formula for the observed frequency of a sound wave, it is assumed that the speed of sound in the medium is greater than the source's speed through it. When this condition is breached, a shock wave occurs.
When the source's speed approaches the speed of sound, constructive interference between successive wavefronts emitted by the source occurs immediately behind it. Initially, scientists believed that this constructive interference would result in such high...
2.6K
Design Consideration01:22

Design Consideration

Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
586
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
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