Pontine Infarction: Cohort Study of Clinical Features, Prognosis, and Relation to Branch Atheromatous Disease
Motoie, R.; Ono, K.; Oketani, H.; Kawano, Y.; Nagaoka, S.; Maeda, K.; Suyama, Y.; Gi, H.; Kanemoto, Y.
Show abstract
IntroductionThis study aimed to analyse disease characteristics and prognostic factors among a cohort of 407 patients with pontine infarction, focusing on the effect of branch atheromatous disease (BAD). Patients and MethodsA retrospective analysis of patients diagnosed with brainstem stroke at Baba Memorial Hospital from 2012 to 2022 was conducted. The study included patients with pontine stroke, excluding those with missing data, chronic or multiple cerebral infarctions, non-brainstem stroke, or without timely MRI. Patient analysis involved age, sex, Japan Coma Scale (JCS) score, medical history, symptoms at admission, and MRI findings. Prognostic groups were classified based on the modified Rankin Scale (mRS) and Functional Independence Measure (FIM) scores at admission and discharge. ResultsOf the 407 patients, 66.1% belonged to the good prognosis group (mRS 0-2) and 33.9% to the poor prognosis group (mRS 35). Younger patients tended to have a better prognosis. JCS scores correlated with prognosis severity. Significant differences in dysarthria, paralysis, and admission FIM scores were observed between patients with and without BAD. Logistic regression analysis identified the FIM score at admission as an independent predictor of prognosis. DiscussionBAD was not directly related to prognosis. The absence of differences in discharge FIM scores and similar prognoses to other stroke types suggested effective rehabilitation. However, due to the lack of pre-stroke FIM measurements and specific treatment details, further research is needed. ConclusionAge and JCS scores were significant prognostic factors, with BAD not directly affecting prognosis. There is need for investigation into treatment methods and detailed prognostic factors.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 97%
- Associations between cardiovascular risk factors, stroke severity, and post-stroke cognition: a moderated mediation analysis 96%
- Endovascular thrombectomy: an effective and safe therapy for perioperative ischemic stroke 95%
Similar papers in this journal
- High fibrinogen-prealbumin ratio (FPR) predicts stroke-associated pneumonia 97%
- White matter lesions as a prognostic marker of recurrence in cryptogenic stroke with high-risk patent foramen ovale 96%
- Vascular Risk Factor Prevalence and Trends in Native Americans With Ischemic Stroke - A National Inpatient Sample Analysis 95%
Similar papers in this journal
- Association between kidney measurements and cognitive performance in patients with ischemic stroke 95%
- Continuous administration of the p38α inhibitor neflamapimod during the subacute phase after transient ischemia-induced stroke in the rat promotes dose-dependent functional recovery accompanied by increase in brain BDNF protein level 95%
- Leveraging Machine Learning for Enhanced and Interpretable Risk Prediction of Venous Thromboembolism in Acute Ischemic Stroke Care 95%
Similar papers in this journal
- Normobaric Hyperoxia Combined with Endovascular Treatment Based on Temporal Gradient: A dose-escalation study 96%
- Acute cortical stroke alters neural activity in the subthalamic nucleus, which correlates with motor disability in rats 94%
- Improvement in Delivery of Ischemic Stroke Treatments but Stagnation of Clinical Outcomes in Young Adults in South Korea 94%
Similar papers in this journal
- Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study 97%
- Disparities in Access to Vascular Stroke Imaging and Carotid Revascularization: A Population Study 94%
- Deviation From Personalized Blood Pressure Targets Correlates With Worse Outcome After Successful Recanalization 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.