Lipoprotein(a): A New Intensive Care Unit Admission Predictor in Coronavirus Disease 2019 Patients

Endothelium-related events in patients with coronavirus disease 2019 are linked to a poor prognosis. Lipoprotein(a) plays a role in vascular endothelial cell dysfunction. This research aims to investigate whether baseline serum lipoprotein(a) levels could be a predictor for intensive care unit admission and related clinical parameters in coronavirus disease 2019 patients.

The research covers 126 patients who were hospitalized in intensive care unit or the non-intensive care unit in our hospital. This prospective cohort study was conducted from January 2021 to June 2021. The patients who were positive for severe acute respiratory syndrome coronavirus 2 according to real-time polymerase chain reaction test results were included in the study. Two groups were created according to the status of intensive care unit admission. Lipoprotein(a) was studied from blood samples taken at the time of hospital admission.

According to the results of the first clinical evaluation, 46 patients were admitted to the intensive care unit and 80 patients were admitted to non-intensive care unit in the hospital. Patients with intensive care unit admission had significantly higher serum lipoprotein(a) levels than patients without intensive care unit admission (40.9 ng/mL and 17.4 ng/mL, P < .001, respectively). The regres- sion analysis revealed that serum lipoprotein(a) levels were independently related to intensive care unit admission (odds ratio 1.242, 95% CI 1.109-1.391, P < .001). In receiver operating characteristic curve analysis, lipoprotein(a) level ≥31.42 ng/mL had 82.6% sensitivity and 72.5% specificity in predicting intensive care unit admission. The risk of intensive care unit admission was seen to be 12.522-fold higher in cases with lipoprotein(a) level ≥31.42.

Lipoprotein(a) could be used as a useful biomarker for the triage of coronavirus disease 2019 patients. Baseline serum lipoprotein(a) levels may serve as a useful prognostic biomarker in patients hospitalized for coronavirus disease 2019.