Predictors of Early Neurologic Deterioration in Acute Pontine Infarction.
Background and Purpose- The relationship between infarct dimensions and neurological progression in patients with acute pontine infarctions remains unclear. This study aimed to investigate the morphometric predictive value of magnetic resonance imaging for early neurological deterioration (END) in acute pontine infarction. Methods- We included all patients admitted to our department having an acute ischemic stroke in the pons. The ventrodorsal length multiplied by thickness was measured as parameters of infarct size. END was defined as an incremental increase in the National Institutes of Health Stroke Scale score by ≥1 point in motor power, or ≥2 points in the total score within the first week after admission. Results- We enrolled 407 patients, and 114 (28.0%) patients were diagnosed with END. Adjusted logistic regression analyses showed the maximum length multiplied by thickness was independently associated with END (odds ratio, 4.580 [95% CI, 2.909-7.210]). The sensitivity, specificity, and area under the curve were 77.2%, 79.2%, and 0.843, respectively, in the receiver operating characteristic curve analysis of maximum length multiplied by thickness for predicting END. Conclusions- These results suggest that the maximum length multiplied by thickness may be a possible predictor in the evaluation of progression with isolated acute pontine infarction. The extent of the pontine infarction along the conduction tract may contribute to deterioration.
['Li|Haiyan|H|', 'Dai|Yongqiang|Y|', 'Wu|Haotian|H|', 'Luo|Lingyun|L|', 'Wei|Lei|L|', 'Zhou|Li|L|', 'Lin|Yinyao|Y|', 'Wang|Qiujing|Q|', 'Lu|Zhengqi|Z|']
D000368:Aged D002545:Brain Ischemia D020526:Brain Stem Infarctions D002533:Cerebral Angiography D038524:Diffusion Magnetic Resonance Imaging D018450:Disease Progression D042241:Early Diagnosis D005260:Female D006801:Humans D008297:Male D008875:Middle Aged D011237:Predictive Value of Tests D012372:ROC Curve D012307:Risk Factors D020521:Stroke
magnetic resonance imaging brain stem stroke prognosis stroke in evolution