Gender differences in mortality among ST elevation myocardial infarction patients in Malaysia from 2006 to 2013

Nurliyana Juhan, Yong Z Zubairi1, A S Zuhdi

  • 1Yong Z. Zubairi, Foundation Studies in Science,, University of Malaya,, Wilayah Persekutan 50603, Kuala Lumpur, Malaysia T: +60379673273, yzulina@um.edu.my, ORCID: http://orcid.org/0000-0002-6174-7285.

Annals of Saudi Medicine
|February 9, 2018
PubMed

Insights

Female ST-elevation myocardial infarction (STEMI) patients face higher mortality rates and distinct risk factors compared to males. Understanding these gender-specific differences is crucial for improving outcomes in coronary artery disease (CAD).

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Coronary artery disease (CAD) is a leading cause of death in Malaysia, with notable gender disparities in prevalence and mortality.
  • ST-elevation myocardial infarction (STEMI) affects males more frequently, but female mortality rates are disproportionately higher.

Purpose of the Study:

  • To identify and compare gender-specific risk factors associated with mortality in ST-elevation myocardial infarction (STEMI) patients.
  • To elucidate the clinical characteristics and outcomes of male versus female STEMI patients.

Main Methods:

  • Retrospective analysis of STEMI patient data from the National Cardiovascular Database-Acute coronary syndrome (NCVD-ACS) registry (2006-2013).
  • Inclusion of demographic data and risk factors (diabetes, hypertension, smoking, dyslipidemia, family history).
  • Multivariate logistic analysis to identify significant risk factors stratified by gender.

Main Results:

  • Higher mortality in females (15.4%) compared to males (7.5%) among 19,484 STEMI patients.
  • Distinct prevalent risk factors: males (smoking, hypertension, diabetes), females (hypertension, diabetes, dyslipidemia).
  • Key predictors of mortality differed by gender, including age, comorbidities, and interventions.

Conclusions:

  • Significant gender differences exist in STEMI patient characteristics, risk factors, and outcomes.
  • Female STEMI patients exhibit a twofold higher mortality rate, potentially linked to hormonal changes post-menopause and other risk factors.
  • Tailored strategies addressing gender-specific risk factors are essential for reducing STEMI mortality.
Abstract

Related Concept Videos

Freezing Point Depression and Boiling Point Elevation03:12

Freezing Point Depression and Boiling Point Elevation

Boiling Point Elevation
The boiling point of a liquid is the temperature at which its vapor pressure is equal to ambient atmospheric pressure. Since the vapor pressure of a solution is lowered due to the presence of nonvolatile solutes, it stands to reason that the solution’s boiling point will subsequently be increased. Vapor pressure increases with temperature, and so a solution will require a higher temperature than will pure solvent to achieve any given vapor pressure, including one...
41.3K
Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
340
Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
310
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.8K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.5K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.9K