The association between monocyte to high-density lipoprotein cholesterol ratio and clinical prognosis of acute ischemic stroke after intravenous thrombolysis therapy

Author:

Yang Ning1ORCID,Hu Liqun2,Han Yulong3

Affiliation:

1. Department of Neurology, The Affiliated Hefei Hospital of Anhui Medical University, Hefei, China

2. Department of Geriatric, the First Affiliated Hospital of University of Science and Technology of China, Hefei, China

3. Department of Cardiology, The Affiliated Hefei Hospital of Anhui Medical University, Hefei, China.

Abstract

The monocyte-to-high-density lipoprotein cholesterol (HDL) ratio (MHR) is accepted as a novel marker for demonstrating inflammation. We investigated whether the monocyte-to-HDL ratio is related to the 90-day clinical prognosis of acute ischemic stroke (AIS) after intravenous thrombolysis (IVT). Patients with AIS treated with alteplase IVT were included consecutively, and clinical information and laboratory data were collected. The 90-day prognosis of all patients was determined with a clinical assessment using the modified Rankin Scale (mRS). The optimal cutoff values for patients were evaluated by the receiver operating characteristic (ROC) curve method. Then, a multivariate logistic regression model was used to evaluate the risk factors for poor prognosis of IVT in AIS. We retrospectively enrolled 192 patients who were diagnosed with AIS and received IVT between February 2020 and July 2022, with final follow-up on September 30, 2022. The patients in the poor prognosis group had significantly higher monocyte counts, lower HDL levels, and higher MHR values than the good prognosis group. The optimal cutoff value of the MHR for predicting the 3-month outcome of acute pontine infarction was 0.621. Multivariate logistic regression revealed that the MHR (OR = 4.626, 95% CI: 1.156–18.512, P = .030) was strongly associated with poor prognosis in AIS. The MHR is an independent risk factor for the clinical prognosis of AIS patients receiving IVT therapy and shows a certain predictive value.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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