Predictors of Early Neurologic Deterioration in Acute Pontine Infarction

Stroke. 2020 Feb;51(2):637-640. doi: 10.1161/STROKEAHA.119.027239. Epub 2019 Dec 4.

Abstract

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.

Keywords: brain stem stroke; magnetic resonance imaging; prognosis; stroke in evolution.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Brain Ischemia / diagnosis*
  • Brain Ischemia / physiopathology
  • Brain Stem Infarctions / diagnosis*
  • Brain Stem Infarctions / physiopathology
  • Cerebral Angiography / methods
  • Diffusion Magnetic Resonance Imaging / methods
  • Disease Progression
  • Early Diagnosis*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests*
  • ROC Curve
  • Risk Factors
  • Stroke / diagnosis*
  • Stroke / physiopathology