Impact of Diabetes Mellitus on Heart Failure Patients: Insights from a Comprehensive Analysis and Machine Learning Model Using the Jordanian Heart Failure Registry.
Mahmoud IzraiqEyas AlmousaSuhail HammoudehMazen SudqiYaman B AhmedOmran A Abu-DhaimAbdel-Latif Mughrabi SabbaghKaram I KhraimAhmad A ToubasiAbdullah Al-KasasbehSukaina I RawashdehHadi Abu-HantashPublished in: International journal of general medicine (2024)
This study underscores notable differences in clinical characteristics and outcomes between diabetic and non-diabetic heart failure patients in Jordan. Diabetic patients had higher prevalence of HFpEF and poorer health indicators such as elevated cholesterol, LDL, and impaired kidney function. High creatinine levels, longer hospital stays, and the need for mechanical ventilation were key predictors of mortality.
Keyphrases
- mechanical ventilation
- heart failure
- machine learning
- acute respiratory distress syndrome
- healthcare
- type diabetes
- ejection fraction
- intensive care unit
- risk factors
- wound healing
- public health
- low density lipoprotein
- mental health
- cardiovascular events
- respiratory failure
- artificial intelligence
- cardiovascular disease
- metabolic syndrome
- left ventricular
- atrial fibrillation
- deep learning
- health information
- coronary artery disease
- big data
- acute care
- social media
- health promotion
- insulin resistance