Early findings on brain computed tomography and the prognosis of post-cardiac arrest syndrome: Application of the score for stroke patients

Hiroshi Sugimori, Tomoo Kanna, Koji Yamashita, Takahiro Kuwashiro, Takashi Yoshiura, Akinori Zaitsu, Makoto Hashizume

研究成果: ジャーナルへの寄稿記事

12 引用 (Scopus)

抄録

Aim: To examine whether early findings of the brain computed tomography (CT) evaluated by the modified Alberta stroke programme early CT (m-ASPECT) score is useful for determining the prognosis of post-cardiac arrest syndrome (PCAS) patients or not. Materials: From 2003 through 2010, 149 consecutive PCAS patients: (1) with various aetiologies but neither from haemorrhagic stroke nor trauma, (2) who were 15. years old or older and (3) whose brain CT was available were admitted to our intensive care unit. Early findings on all of their CT images were rated with the m-ASPECT scoring system by three raters, and an inter-rater comparison was conducted. Next, the images within 24. h from arrest were collected from 133 patients (89 males, age 60.2. ±. 17.6. years), and a relation of the scores with outcome at day 30 of the patients was analysed. Results: According to the inter-rater comparison based on a linear regression analysis, agreement between the raters was good (correlation coefficient 0.76-0.88). A receiver operating curve analysis revealed that the m-ASPECT scores within 24. h were a good predictor of poor outcome (dead or vegetative state) with an area under the curve of 0.905. An m-ASPECT score ≤13 was 100% predictive of a poor outcome, with a negative predictive value of 0.57. The m-ASPECT score was the best predictor of poor outcome (odds ratio 45.62) among various factors including cause or duration of arrest. Conclusion: The m-APSECT score evaluated within 24. h from arrest was found to be the most predictive factor for outcome at day 30.

元の言語英語
ページ(範囲)848-854
ページ数7
ジャーナルResuscitation
83
発行部数7
DOI
出版物ステータス出版済み - 7 1 2012

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Alberta
Heart Arrest
Stroke
Tomography
Brain
Persistent Vegetative State
Area Under Curve
Intensive Care Units
Linear Models
Odds Ratio
Regression Analysis
Wounds and Injuries

All Science Journal Classification (ASJC) codes

  • Emergency Medicine
  • Emergency
  • Cardiology and Cardiovascular Medicine

これを引用

Early findings on brain computed tomography and the prognosis of post-cardiac arrest syndrome : Application of the score for stroke patients. / Sugimori, Hiroshi; Kanna, Tomoo; Yamashita, Koji; Kuwashiro, Takahiro; Yoshiura, Takashi; Zaitsu, Akinori; Hashizume, Makoto.

:: Resuscitation, 巻 83, 番号 7, 01.07.2012, p. 848-854.

研究成果: ジャーナルへの寄稿記事

Sugimori, Hiroshi ; Kanna, Tomoo ; Yamashita, Koji ; Kuwashiro, Takahiro ; Yoshiura, Takashi ; Zaitsu, Akinori ; Hashizume, Makoto. / Early findings on brain computed tomography and the prognosis of post-cardiac arrest syndrome : Application of the score for stroke patients. :: Resuscitation. 2012 ; 巻 83, 番号 7. pp. 848-854.
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AU - Kuwashiro, Takahiro

AU - Yoshiura, Takashi

AU - Zaitsu, Akinori

AU - Hashizume, Makoto

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N2 - Aim: To examine whether early findings of the brain computed tomography (CT) evaluated by the modified Alberta stroke programme early CT (m-ASPECT) score is useful for determining the prognosis of post-cardiac arrest syndrome (PCAS) patients or not. Materials: From 2003 through 2010, 149 consecutive PCAS patients: (1) with various aetiologies but neither from haemorrhagic stroke nor trauma, (2) who were 15. years old or older and (3) whose brain CT was available were admitted to our intensive care unit. Early findings on all of their CT images were rated with the m-ASPECT scoring system by three raters, and an inter-rater comparison was conducted. Next, the images within 24. h from arrest were collected from 133 patients (89 males, age 60.2. ±. 17.6. years), and a relation of the scores with outcome at day 30 of the patients was analysed. Results: According to the inter-rater comparison based on a linear regression analysis, agreement between the raters was good (correlation coefficient 0.76-0.88). A receiver operating curve analysis revealed that the m-ASPECT scores within 24. h were a good predictor of poor outcome (dead or vegetative state) with an area under the curve of 0.905. An m-ASPECT score ≤13 was 100% predictive of a poor outcome, with a negative predictive value of 0.57. The m-ASPECT score was the best predictor of poor outcome (odds ratio 45.62) among various factors including cause or duration of arrest. Conclusion: The m-APSECT score evaluated within 24. h from arrest was found to be the most predictive factor for outcome at day 30.

AB - Aim: To examine whether early findings of the brain computed tomography (CT) evaluated by the modified Alberta stroke programme early CT (m-ASPECT) score is useful for determining the prognosis of post-cardiac arrest syndrome (PCAS) patients or not. Materials: From 2003 through 2010, 149 consecutive PCAS patients: (1) with various aetiologies but neither from haemorrhagic stroke nor trauma, (2) who were 15. years old or older and (3) whose brain CT was available were admitted to our intensive care unit. Early findings on all of their CT images were rated with the m-ASPECT scoring system by three raters, and an inter-rater comparison was conducted. Next, the images within 24. h from arrest were collected from 133 patients (89 males, age 60.2. ±. 17.6. years), and a relation of the scores with outcome at day 30 of the patients was analysed. Results: According to the inter-rater comparison based on a linear regression analysis, agreement between the raters was good (correlation coefficient 0.76-0.88). A receiver operating curve analysis revealed that the m-ASPECT scores within 24. h were a good predictor of poor outcome (dead or vegetative state) with an area under the curve of 0.905. An m-ASPECT score ≤13 was 100% predictive of a poor outcome, with a negative predictive value of 0.57. The m-ASPECT score was the best predictor of poor outcome (odds ratio 45.62) among various factors including cause or duration of arrest. Conclusion: The m-APSECT score evaluated within 24. h from arrest was found to be the most predictive factor for outcome at day 30.

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