Role of Carotid Ultrasonography Combined with Monocyte/HDL Ratio in Internal Carotid Artery Stenosis.

Carotid duplex ultrasonography (DUS) Digital subtraction angiography (DSA) High-risk patients. Internal carotid artery (ICA) stenosis MHR PSV

Journal

Current medical imaging
ISSN: 1573-4056
Titre abrégé: Curr Med Imaging
Pays: United Arab Emirates
ID NLM: 101762461

Informations de publication

Date de publication:
18 Apr 2024
Historique:
received: 11 12 2023
revised: 12 03 2024
accepted: 25 03 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 19 4 2024
Statut: aheadofprint

Résumé

Carotid duplex ultrasonography (DUS) is the primary screening tool for carotid artery stenosis, but has low reliability. MHR, which is the ratio of monocytes to high-density lipoprotein cholesterol (HDL-C), can be a marker for the degree and distribution of extracranial and intracranial atherosclerotic stenosis. We determined the diagnostic value of DUS+MHR for internal carotid artery (ICA) stenosis. We divided 273 hospitalized patients into non-stenosis (<50%) and ICA stenosis (≥50%) groups based on Digital Subtraction Angiography (DSA). We determined the peak systolic velocity (PSV) in the ICA on DUS, calculated the MHR, and investigated their relationship with ICA stenosis. On DSA, 34.1% (93/273) patients had moderate-to-severe ICA stenosis. DUS and DSA showed low concordance for detecting ICA stenosis (kappa = 0.390). With increasing age, the incidence of moderate-to-severe ICA stenosis increased. PSV, monocyte count, and MHR were significantly greater in the stenosis group than in the non-stenosis group (P < 0.001), while the HDL-C level was significantly lower (P = 0.001). PSV (OR: 1.020, 95% CI: 1.011-1.029, P < 0.001) and MHR (OR: 5.662, 95% CI: 1.945-16.482, P = 0.002) were independent risk factors for ICA stenosis. The area under the receiver operating characteristic curve of PSV+MHR (0.819) was significantly higher than that of PSV or MHR alone (77.42% sensitivity, P = 0.0207; 73.89% specificity, P = 0.0032). The combination of ICA PSV on DUS and MHR is better than PSV alone at identifying ICA stenosis and is well-suited to screen high-risk patients.

Sections du résumé

BACKGROUND BACKGROUND
Carotid duplex ultrasonography (DUS) is the primary screening tool for carotid artery stenosis, but has low reliability. MHR, which is the ratio of monocytes to high-density lipoprotein cholesterol (HDL-C), can be a marker for the degree and distribution of extracranial and intracranial atherosclerotic stenosis.
OBJECTIVE OBJECTIVE
We determined the diagnostic value of DUS+MHR for internal carotid artery (ICA) stenosis.
METHODS METHODS
We divided 273 hospitalized patients into non-stenosis (<50%) and ICA stenosis (≥50%) groups based on Digital Subtraction Angiography (DSA). We determined the peak systolic velocity (PSV) in the ICA on DUS, calculated the MHR, and investigated their relationship with ICA stenosis.
RESULTS RESULTS
On DSA, 34.1% (93/273) patients had moderate-to-severe ICA stenosis. DUS and DSA showed low concordance for detecting ICA stenosis (kappa = 0.390). With increasing age, the incidence of moderate-to-severe ICA stenosis increased. PSV, monocyte count, and MHR were significantly greater in the stenosis group than in the non-stenosis group (P < 0.001), while the HDL-C level was significantly lower (P = 0.001). PSV (OR: 1.020, 95% CI: 1.011-1.029, P < 0.001) and MHR (OR: 5.662, 95% CI: 1.945-16.482, P = 0.002) were independent risk factors for ICA stenosis. The area under the receiver operating characteristic curve of PSV+MHR (0.819) was significantly higher than that of PSV or MHR alone (77.42% sensitivity, P = 0.0207; 73.89% specificity, P = 0.0032).
CONCLUSION CONCLUSIONS
The combination of ICA PSV on DUS and MHR is better than PSV alone at identifying ICA stenosis and is well-suited to screen high-risk patients.

Identifiants

pubmed: 38639287
pii: CMIR-EPUB-139851
doi: 10.2174/0115734056289735240409083434
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Min-Qiang Bao (MQ)

Department of Neurology, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.
Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Jixi Road 218, Hefei 230022, China.

Yi-Nong Chen (YN)

Department of Neurology, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Ji-Wei Jin (JW)

Clinical laboratory, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Dong-Dong Gui (DD)

Department of Ultrasound Medicine, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Jie Wang (J)

Department of Neurology, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Shuang-Shuang Chen (SS)

Department of Neurology, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Xiao-Ning Sheng (XN)

Department of Neurology, The Affiliated Xuan Cheng Hospital of WanNan Medical College, No. 51, Dabatang Road, Xuanzhou District, Xuancheng, 242000, China.

Zhang-Long Cheng (ZL)

Department of Neurology, Guangde Traditional Chinese Medicine Hospital, Intersection of Guangli Road and Heping Road, Taocou Town, Guangde, 242200, China.

Yu Wang (Y)

Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Jixi Road 218, Hefei 230022, China.

Classifications MeSH