Why the study?
Functionally relevant CAD requires advanced cardiac imaging for detection, and whether the neuro-axonal injury biomarker sNfL has diagnostic or prognostic utility in this setting was unknown.
Does serum neurofilament light chain (sNfL) measurement predict functionally relevant coronary artery disease and adverse cardiovascular outcomes in patients undergoing cardiac work-up?
Does serum neurofilament light chain (sNfL) measurement predict functionally relevant coronary artery disease and adverse cardiovascular outcomes in patients undergoing cardiac work-up?
Serum neurofilament light chain is not a useful diagnostic biomarker for functionally relevant coronary artery disease, but it is a strong independent predictor of adverse cardiovascular outcomes including death and stroke.
sNfL should not guide fCAD diagnosis; leaves open its prognostic value for cardiovascular death in prospective studies.
Background: Functionally relevant coronary artery disease (fCAD), causing symptoms of myocardial ischemia, can currently only be reliably detected with advanced cardiac imaging. Serum neurofilament light chain (sNfL) is a biomarker for neuro-axonal injury known to be elevated by cardiovascular (CV) risk factors and cerebrovascular small-vessel diseases. Due to their pathophysiological similarities with fCAD and the link to CV risk factors, we hypothesised that sNfL may have diagnostic and prognostic value for fCAD and adverse cardiovascular outcomes.Methods: Of the large prospective Basel VIII study (NCT01838148), 4'016 consecutive patients undergoing cardiac work-up for suspected fCAD were included (median age 68 years, 32.5% women, 46.9% with history of CAD). The presence of fCAD was adjudicated using myocardial perfusion imaging single-photon emission tomography (MPI-SPECT) and coronary angiography. sNfL was measured using a high-sensitive single-molecule array assay. All-cause and cardiovascular death, myocardial infarction (MI), and stroke/transient ischaemic attack (TIA) during 5-year follow-up were the prognostic endpoints.Results: The diagnostic accuracy of sNfL for fCAD as quantified by the area under the curve (AUC) was low (0.58, 95%CI 0.56-0.60). sNfL was strongly associated with age, renal dysfunction, and body mass index and was a strong and independent predictor of all-cause death, cardiovascular death, and stroke/TIA but not MI. Time-dependent AUC for cardiovascular-death at 1-year was 0.85, 95%CI 0.80-0.89, and 0.81, 95%CI 0.77-0.86 at 2-years.Conclusion: While sNfL concentrations did not show a diagnostic role for fCAD, in contrast, sNfL was a strong and independent predictor of cardiovascular outcomes, including all-cause death, cardiovascular death and stroke/TIA.
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Amrein et al. (2023) studied this question.
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