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¡¡Wang Chenchao,Li Hongwei,Li Kuiyuan,et al.Development and validation of a nomogram to predict postoperative cerebral infarction for patients with Moyamoya disease[J].Stroke and Nervous Diseases,2022,29(04):333-337.[doi:10.3969/j.issn.1007-0478.2022.04.006]
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2022Äê04ÆÚ
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333-337
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2022-09-10

ÎÄÕÂÐÅÏ¢/Info

Title:
Development and validation of a nomogram to predict postoperative cerebral infarction for patients with Moyamoya disease
ÎÄÕ±àºÅ:
1007-0478(2022)04-0333-05
×÷Õß:
Íõ³¿³±ÀîºìΰÀî¿ýÔªÁõ¶þÓÂÓȺƾýÕÅÖ¾ÖÐÑ
450053 Ö£ÖÝ´óѧµÚÒ»¸½ÊôÒ½ÔºÉñ¾­Íâ¿Æ[Íõ³¿³± Àîºìΰ Àî¿ýÔª Áõ¶þÓ ÓȺƾý ÕÅÖ¾ÖÐ Ñ(ͨÐÅ×÷Õß)]
Author(s):
Wang Chenchao Li Hongwei Li Kuiyuan et al.
Department of Neurosurgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450053
¹Ø¼ü´Ê:
ÑÌÎí²¡ÊõºóÄÔ¹£ËÀÁÐÏßͼΣÏÕÒòËØ
Keywords:
Moyamoya disease Postoperative Cerebral infarction Nomogram Risk factor
·ÖÀàºÅ:
R743.4 R743.3
DOI:
10.3969/j.issn.1007-0478.2022.04.006
ÎÄÏ×±êÖ¾Âë:
A
ÕªÒª:
Ä¿µÄ ̽ÌÖÑÌÎí²¡ÊõºóÄÔ¹£ËÀµÄΣÏÕÒòËز¢½¨Á¢ÁÐÏßͼԤ²âÄ£ÐÍ¡£·½·¨ »Ø¹ËÐÔÄÉÈë502¸ö´óÄÔ°ëÇòµÄÁÙ´²×ÊÁϲ¢·ÖΪ½¨Ä£×é(n=350)ºÍÑéÖ¤×é(n=152),¶Ô½¨Ä£×é½øÐе¥ÒòËؼ°¶àÒòËØLogistic»Ø¹é·ÖÎöÕÒ³öΣÏÕÒòËز¢½¨Á¢ÁÐÏßͼģÐÍ,·Ö±ð²ÉÓÃHosmer-LemeshowÄâºÏÓŶȼìÑéºÍROCÇúÏßÆÀ¹ÀÁÐÏßͼģÐ͵ÄУ׼¶ÈºÍÇø·Ö¶È¡£½á¹û ÊõºóÄÔ¹£ËÀµÄ·¢ÉúÂÊΪ4.58%¡£¶àÒòËØLogistic»Ø¹éÄ£ÐÍÌáʾÄêÁä¡Ý50Ëê(OR=10.525)¡¢½üÆÚ¶ÌÔÝÐÔÄÔȱѪ·¢×÷(Transient ischemic attack,TIA)(OR=3.271)¡¢½üÆÚÄÔ¹£ËÀÖ±¾¶¡Ý1 cm(OR=4.206)ÊÇÊõºóÄÔ¹£ËÀµÄ¶ÀÁ¢Î£ÏÕÒòËØ,ºóÑ­»·´ú³¥(OR=0.260)ÊDZ£»¤ÐÔÒòËØ¡£»ùÓÚÒÔÉÏÒòËؽ¨Á¢ÁÐÏßͼ,½¨Ä£×éºÍÑéÖ¤×éµÄH-L¼ìÑéÌáʾģÐÍУ׼¶ÈÁ¼ºÃ(¦Ö2=31.962/32.674,P=0.964/0.956),ÁÐÏßͼģÐÍÔ¤²â½¨Ä£×éºÍÑéÖ¤×éµÄÊÜÊÔÕß¹¤×÷ÌØÕ÷ÇúÏß(Receiver operating characteristic curve,ROC)µÄÇúÏßÏÂÃæ»ý(Area under curve,AUC)ÌáʾÁÐÏßͼģÐÍÇø·Ö¶ÈÁ¼ºÃ(AUC=0.888/0.845)¡£½áÂÛ ÄêÁä¡Ý50Ëê¡¢½üÆÚTIAÊ·¡¢½üÆÚÄÔ¹£ËÀÖ±¾¶¡Ý1cmÊÇÑÌÎí²¡ÊõºóÄÔ¹£ËÀµÄΣÏÕÒòËØ,ºóÑ­»·Á¼ºÃ´ú³¥ÊDZ£»¤ÐÔÒòËØ¡£½¨Á¢µÄÁÐÏßͼģÐÍ¿ÉÓÐЧԤ²âÑÌÎí²¡»¼ÕßÊõºó·¢ÉúÄÔ¹£ËÀµÄ·çÏÕ¡£
Abstract:
ObjectiveTo explore the risk factors of postoperative cerebral infarction in ischemic Moyamoya disease(MMD)and develop a nomogram to predict the individual risk of cerebral infarction for postoperative patients with MMD.Methods The clinical data of 502 hemispheres were retrospectively included and they were divided into training set(n=350)and validation set(n=152). Univariate and multivariate logistic regression analysis were performed on the training set to find out the risk factors and a nomogram was constructed to identify cerebral infarction for postoperative patients with MMD. The Hosmer-Leme show test and receiver operating characteristic(ROC)curve were applied to assess the calibration and discrimination of this nomogram.Results The incidence of postoperative cerebral infarction was 4.58%. It showed that age¡Ý50 years(OR=10.525), recent transient ischemic attack(TIA)(OR=3.271), recent cerebral infarction with diameter ¡Ý1 cm(OR=4.206)were identified as independent risk factors via multivariate logistic regression model, and the good compensation for posterior circulation(OR=0.260)was a protective factor. Based on the above factors, the nomogram was established, which displayed excellent calibration(¦Ö2=31.962/32.674, P=0.964/0.956)via the Hosmer-Leme show test of the training set and the validation set. The nomogram was found to have good discrimination [area under the curve(AUC)=0.888/0.845] via the area under the ROC curve.Conclusion Age¡Ý50 years, recent TIA, and recent cerebral infarction with diameter ¡Ý1 cm are risk factors for postoperative cerebral infarction in ischemic MMD, and the good compensation for posterior circulation is a protective factor. The nomogram could effectively predict the individual risk of cerebral infarction for postoperative patients with MMD.

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¸üÐÂÈÕÆÚ/Last Update: 2022-09-10