Evidence map›Paper›PMID 38424424›Full record

ArticleCurrent pharmaceutical design2024

Cumulative Exposure to Oxidized Low-density Lipoprotein is a Potential Predictor for Prognosis in Acute Ischemic Stroke: A Cohort Study.

Kaili Cheng, Xiuqi Chen, Yufan Luo, Wenbo Sun, Xiaoli Yang, Shengwen Huang, Yuanyuan Wang, Danhong Wu

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Article in Current pharmaceutical design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Kaili ChengDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Xiuqi ChenDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Yufan LuoDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Wenbo SunDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Xiaoli YangDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Shengwen HuangDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Yuanyuan WangDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Danhong WuDepartment of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Fudan University · CN

Funding

Enbipu Co., Ltd. of Shiyao Group Grant No. YXSY-2022-24Shanghai Committee of Science and Technology 23JC1401803; 201409004900
6 · The paper itself

Abstract

backgroundOxidized Low-Density Lipoprotein (ox-LDL) is crucial in the recrudescence and prognosis of acute ischemic stroke (AIS). We aimed to probe into the influence of cumulative ox-LDL exposure on the 90-day prognosis of AIS.

methodsPatients with AIS were recruited in this research. AIS severity at admission was estimated with infarct volumes and National Institute of Health Stroke Scale (NIHSS) scores. AIS prognosis was assessed using Modified Rankin Scale (mRS) scores at 90 days and the change in NIHSS scores from admission to discharge. Cumulative ox-LDL exposure was defined as ox-LDL level (pg/mL) multiplied by age(y). Multivariate logistic regression analysis was employed to reveal the correlation between exposure factors and the prognosis of AIS. The prognostic prediction ability of cumulative ox-LDL exposure was compared with cumulative LDL exposure by the receiver operating characteristic curve (ROC).

resultsHigher cumulative ox-LDL exposure was related to worse prognosis, including neurological worsening at discharge (NIHSS increasing more than 2 points) (OR = 3.02, 95% CI, 1.30-6.98, P = 0.01) and poor functional prognosis at 90 days (mRS ≥ 3) (OR = 21.21, 95% CI, 4.72-95.36, P < 0.001). As multivariate regression analysis showed, significantly increased cumulative ox-LDL exposure was relevant to poor functional prognosis at 90 days (OR = 9.92, 95% CI, 1.23-79.76, P = 0.031), but not with neurological worsening at discharge (P = 0.414). ROC curve revealed that cumulative ox-LDL exposure had a higher predictive value (AUC = 0.843, P < 0.001) for functional prognosis of AIS than cumulative LDL exposure (AUC = 0.629, P = 0.023).

conclusionCumulative ox-LDL exposure has a positive correlation with poor prognosis at 90 days of AIS, and has a more accurate predictive ability than cumulative LDL exposure.

Indexed as

Ischemic StrokeLipoproteins, LDLAgedAged, 80 and overBrain IschemiaCohort StudiesFemaleHumansMaleMiddle AgedPrognosisLipoproteins, LDLoxidized low density lipoproteinacute ischemic strokeCumulative exposurelow-density lipoproteinoxidized low-density lipoproteinprognosisreceiver operating characteristic curve.

Identifiers

PMID38424424
OpenAlexW4392963736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.