Evidence map›Paper›PMID 39198817›Full record

ArticleBMC neurology2024

Relative score of early neurological deterioration in perforator artery infarction: a retrospective study.

Kazo Kanazawa, Nobukazu Miyamoto, Kenichiro Hira, Chikage Kijima, Nobutaka Hattori

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Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kazo KanazawaDepartment of Neurology, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113- 0033, Japan.
Nobukazu MiyamotoDepartment of Neurology, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113- 0033, Japan. nobu-m@juntendo.ac.jp.
Kenichiro HiraDepartment of Neurology, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113- 0033, Japan.
Chikage KijimaDepartment of Neurology, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113- 0033, Japan.
Nobutaka HattoriDepartment of Neurology, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113- 0033, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCompared to small vessel occlusion (SVO) patients, branch atheromatous disease (BAD) patients are more likely to develop early neurological deterioration (END). Stroke patients with END have a poor prognosis. Initial clinical features/radiological findings are often insufficient to distinguish between BAD and SVO; therefore, they may not detect END. In this retrospective study, we investigated relative factors for END in perforator artery infarction and created a scoring system for END in these patients.

methodsWe extracted data from stroke patients with perforator artery infarction admitted to the Department of Neurology at Juntendo University between January 2016 and December 2022. We examined factors, such as the presence of SVO and BAD, leading to END. Variables with a P-value < 0.1 on univariate analysis were entered into binominal logistic regression analysis.

resultsOf the 1,420 stroke patients admitted over a 7-year period, 201 with perforator infarction were included in this study. END was found in 27 of 201 patients (13.4%). Binominal logistic regression analysis of background factors less than p < 0.1 revealed that age > 69 (P = 0.032; odds ratio [OR], 3.941; 95% confidence interval [CI], 1.126-13.769), body mass index < 23.8 (P = 0.041; OR, 3.183; 95%CI, 1.049-9.654), and pretreatment with anti-platelets (P = 0.003; OR, 5.183; 95%CI, 1.783-15.071) were significant factors. Regarding anti-platelet therapy, END was observed in 34.4% of patients administered aspirin and 35.0% administered clopidogrel. Initial infarct lesion size over 15 mm on initial MRI had a P value of 0.076 in univariate analysis and an odds ratio of 1.330 (95% CI 0.471-3.755; P = 0.590) in binomial logistic regression analysis. The length of stay and modified Rankin Scale at discharge were significantly exacerbated in the END group. Creating a scoring system with 1 point for each relevant factor (pEND score), significant correlations were obtained with ROC curves, and over 2 points produced the highest sensitivity and specificity for detecting END.

conclusionPatients with high pEND scores may require intensive care from early hospitalization. In addition, the occurrence of stroke during anti-platelet therapy suggests the need for alternative treatment.

Indexed as

Platelet Aggregation InhibitorsAgedAged, 80 and overCerebral InfarctionFemaleHumansMaleMiddle AgedRetrospective StudiesPlatelet Aggregation InhibitorsBranch atheromatous diseaseEarly neurological deteriorationpEND scorePerforator artery infarctionRelative factors

Identifiers

PMID39198817
PMCPMC11350949

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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.