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Published on: June 12, 2021
Adrenal Insufficiency in patients with cardiogenic shock: A meta-analysis
Nso Nso1, Mahmoud Nassar1, Bahaaeldin Baraka2
1Internal Medicine Department, Icahn School of Medicine at Mount Sinai / NYC Health+Hospitals / Queens, New York, NY, USA.
Insights
Adrenal Insufficiency (AI) affects about 32% of patients with cardiogenic shock (CS). This meta-analysis highlights a moderate prevalence of AI in CS patients, impacting clinical outcomes.
Area of Science:
- Cardiology
- Endocrinology
- Critical Care Medicine
Background:
- Adrenal Insufficiency (AI) is infrequently diagnosed in patients experiencing cardiogenic shock (CS).
- Understanding the prevalence and impact of AI in CS is crucial for patient management.
Purpose of the Study:
- To determine the prevalence of Adrenal Insufficiency (AI) in patients with cardiogenic shock (CS).
- To assess the clinical outcomes associated with AI in CS patients.
Main Methods:
- A systematic literature search was conducted across major scientific databases (PubMed/Medline, Science Direct, World Wide Science.org, Pro-Quest).
- Included studies focused on patients with CS, post-cardiac-arrest shock, out-of-hospital cardiac arrest, and CS post-myocardial infarction.
- Data analysis utilized RStudio, and AI diagnosis was confirmed via corticotropin stimulation tests.
Main Results:
- Five observational cohort studies were included in the meta-analysis, reporting low-to-fair quality.
- The pooled prevalence of AI in CS patients was estimated at 32% (95% CI: 21%-45%), with significant heterogeneity observed (I² = 81%, P = 0.001).
- The overall prevalence range for AI in CS patients was determined to be between 11% and 51%.
Conclusions:
- This meta-analysis indicates a moderate prevalence of Adrenal Insufficiency (AI) among patients with cardiogenic shock (CS).
- Further research may be warranted to fully elucidate the clinical implications and management strategies for AI in CS.
Background:
Adrenal Insufficiency (AI) is rarely observed in patients with cardiogenic shock (CS). We aimed to identify the prevalence of AI in patients with CS and its effect on their clinical outcomes.
Aims:
Our study aimed to determine the prevalence of AI in CS patients who underwent treatments for CS.
Methods:
The articles concerning AI in CS were extracted for review from PubMed/Medline, Science Direct, World Wide Science.org, and Pro-Quest. The research articles included patients with CS, post-cardiac-arrest shock, out-of-hospital cardiac arrest, and CS after acute myocardial infarction. RStudio (version 1.0.136) was used for analyzing AI in CS patients.
Results:
The search revealed 1463 unique publications, including 256 studies identified after screening the titles and the abstracts. Five observational cohort studies met the eligibility criteria for meta-analysis after the preliminary screening. The included studies reported a corticotropin stimulation test for AI diagnosis. The studies reportedly exhibited a low-to-fair quality. The random-effects pooled estimates indicated a 32% AI prevalence in the setting of CS [95% CI; 21%-45%; I2 = 81%]. The outcomes from the included studies were statistically significant for high heterogeneity (P = 0.001). The pooled results confirmed an 11%-51% AI prevalence in CS patients.
Conclusions:
This meta-analysis revealed a moderate level prevalence of AI in CS patients.
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