In this prospective, population-based cohort, 9,068 stroke-free participants aged ≥55 were followed for a median of 9.7 years (97,956 person-years), during which 85 suffered an intracerebral hemorrhage (ICH). In a MRI subset (n=789), 162 had cerebral microbleeds (65 deep/infratentorial, 97 strictly lobar) .
Per-standard-deviation hazard ratios (fully adjusted Model II) show the signal is carried almost entirely by triglycerides; the HDL association disappeared after adjustment for triglycerides .
In quartile analysis, the highest triglyceride quartile showed a striking ~80% risk reduction versus the lowest (HR 0.20, 95% CI 0.06–0.69). Concordantly, triglycerides inversely associated with deep/infratentorial—but not strictly lobar—microbleeds (Q4 OR 0.37, 95% CI 0.14–0.96), supporting an arteriolosclerotic rather than amyloid-angiopathy mechanism, since lobar microbleeds reflect cerebral amyloid angiopathy .
The convergent triglyceride–microbleed location pattern is the study's strongest internal-validity feature: two independent endpoints (survival and MRI-based preclinical marker) point the same way. Results align with the Three-City Study and a pooled ARIC/CHS analysis, though three other cohorts (Copenhagen, Oslo, J-LIT) found no association—attributable by the authors to nonfasting samples, few events, long diluted follow-up, or restricted hypercholesterolemic populations . A mechanistic rationale is offered—low triglycerides correlate with reduced vitamin K-dependent factors VII/IX and lower viscosity (prohemorrhagic state), and low lipids may weaken endothelial membranes—but the authors explicitly note this remains unproven .
Strengths acknowledged: population-based design, 98.4% follow-up completeness, standardized lipid assays, validated stroke adjudication. Limitations the paper itself flags: 36% of strokes were unspecified (nondifferential misclassification likely biases estimates toward the null); 1,368 excluded participants were older and carried more risk factors (selection risk); MRI occurred ~5 years after blood draw; single-time lipid measurement; residual confounding by diet and physical activity; only 45 ICH events in the triglyceride (Set 2) analysis .
Additional BGPT critique: (1) The propensity-score approach with only 45 events risks over-adjustment instability and cannot exclude residual confounding—a low-triglyceride state may proxy frailty, low BMI, malnutrition, or heavy alcohol use in the elderly (healthy-user bias runs in the opposite direction here, but frailty bias does not). (2) The nonfasting (1990) vs fasting (1997+) lipid measurement split across sets introduces measurement heterogeneity. (3) Triglyceride intra-individual variability is high; single measurements attenuate true associations but could also produce spurious regression-to-the-mean effects in extreme quartiles. (4) No dose-response gradient across middle quartiles (Q2 and Q3 HRs hover ~0.5–0.7 with wide CIs) suggests the effect is driven by the extremes. (5) Observational design means reverse causation cannot be excluded—subclinical disease may lower triglycerides. Falsification would require: null triglyceride–ICH association in cohorts with time-varying lipid measurements and complete neuroimaging-based stroke classification .
The triglyceride–ICH association is credibly observed and methodologically well-executed for its era, with convergent microbleed evidence lending biological plausibility. However, with 45–85 events, single lipid measures, unspecified-stroke misclassification, and no mechanistic proof, the appropriate reading is association consistent with an etiologic hypothesis, not established causation. Notably, this does not imply triglyceride-lowering interventions increase ICH risk—the observational low-TG state may reflect underlying frailty or coagulation profiles rather than a manipulable causal target. Later related work found lipid declines can precede ICH, adding complexity .
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