Plasma ceramides independently predict all-cause mortality in men aged 85
Timo E Strandberg1,2,3, Mika Kivimäki1,4, Annele Urtamo1
1Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Plasma ceramides, a type of lipid, may serve as a valuable biomarker for predicting mortality risk in the oldest-old individuals. This finding is crucial for improving geriatric care where conventional methods are less effective.
Area of Science:
- Biochemistry
- Gerontology
- Cardiovascular Research
Background:
- Assessing mortality risk in the oldest-old is complex due to multimorbidity and polypharmacy.
- Conventional biomarkers are often insufficient for predicting outcomes in this population.
- Ceramides, bioactive lipids, have shown potential in predicting mortality in middle-aged cohorts.
Purpose of the Study:
- To determine if plasma ceramide levels independently predict mortality in individuals aged 85 and older.
- To explore novel biomarkers for geriatric prognostication.
Main Methods:
- Longitudinal cohort study (Helsinki Businessmen Study) with 3.5-year follow-up.
- Inclusion of 125 male survivors (born 1919-1934) with assessments of functional status (SPPB, MoCA) and biomarkers.
- Measurement of plasma ceramide (Cer(d18:1/16:0)) using liquid chromatography-tandem mass spectrometry; mortality data from national registers.
Main Results:
- The cohort's median age was 88 years, with high prevalence of multimorbidity and statin use.
- Plasma ceramide (Cer(d18:1/16:0)) concentration was independently associated with increased mortality risk (HR per 1 SD: 1.64).
- Individuals in the top tertile of ceramide levels had a 5.44-fold higher mortality risk compared to the bottom tertile.
Conclusions:
- Plasma ceramide concentrations, particularly Cer(d18:1/16:0), may serve as a clinically useful prognostic biomarker in very old age.
- These findings address the need for improved prognostic tools in geriatrics, considering multimorbidity and polypharmacy.
- Ceramides offer a potential alternative to conventional biomarkers hampered by complex patient factors.
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