Clinical Scorecard: Link Between High-Density Lipoprotein Cholesterol Levels and the Ten Leading Causes of Mortality
At a Glance
Category
Detail
Condition
Association of HDL-C levels with mortality from top 10 global causes of death
Key Mechanisms
Non-linear, sex-specific associations; U-shaped and J-shaped risk patterns; HDL functionality more important than quantity
Target Population
UK Biobank participants aged 37–73 years (n=429,759) with baseline HDL-C data
Care Setting
Population health and clinical lipid management settings
Key Highlights
U-shaped associations between HDL-C and death risk from ischemic heart disease, infections, lung cancer, diabetes, and kidney disease
Optimal HDL-C ranges for lowest death risk differ by sex: 58–74 mg/dL in females, 50–60 mg/dL in males
Extremely high HDL-C levels linked to increased mortality risk across several causes, emphasizing importance of HDL functionality
Guideline-Based Recommendations
Diagnosis
Measure HDL-C levels as part of lipid profiling in adults
Consider sex-specific optimal HDL-C ranges when assessing risk
Management
Avoid targeting HDL-C elevation without considering potential risks of extremely high levels
Focus on improving HDL functionality rather than solely increasing HDL-C quantity
Monitoring & Follow-up
Monitor HDL-C levels longitudinally with attention to non-linear risk patterns
Assess cause-specific mortality risk in relation to HDL-C levels, stratified by sex
Risks
Both low and extremely high HDL-C levels confer increased mortality risk through different mechanisms
High HDL-C may increase risk for COPD, liver disease, and some cancers
Sex-specific risk patterns observed for stroke and Alzheimer’s disease/dementias
Patient & Prescribing Data
Adults aged 37–73 years from UK general population
Randomized trials raising HDL-C pharmacologically have not reduced cardiovascular events; clinical focus should shift to HDL quality and individualized risk assessment
Clinical Best Practices
Interpret HDL-C levels within sex-specific optimal ranges to guide risk stratification
Recognize non-linear associations of HDL-C with mortality risk across multiple diseases
Prioritize research and clinical evaluation of HDL functionality over HDL-C quantity
Use comprehensive lipid profiling and consider patient-specific factors in cardiovascular and general mortality risk management
Researchers found that patients with higher waist circumference and lower grip strength had the greatest risk for developing type 2 diabetes during long-term follow-up.
