{"title":"临床评分在脑卒中亚型诊断中的有效性:验证研究","authors":"B. Mekonnen, M. Kebede","doi":"10.2147/PROM.S374473","DOIUrl":null,"url":null,"abstract":"Background The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome these challenges and improve clinical bedside diagnosis, clinical stroke scores for stroke subtypes have been developed and recommended to be used in the absence of appropriate imaging modality. Methods We conducted a prospective cross-sectional study among stroke patients to compare the accuracy of level of clinical stroke score methods in differentiating stroke type with CT. it was conducted on 140 people at MTU teaching hospital in Bench-Sheko Zone, South-west Ethiopia. Data were collected using check list. Analysis of the data was done using SPSS version 24. Results Our result revealed an incidence of hemorrhagic stroke were 50%, ischemic stroke were 48.6% by CT evaluation. Specificity, sensitivity, positive predictive value, negative predictive value and the overall accuracy of Siriraj stroke score for differentiation of hemorrhage from ischemic stroke were 68.6%, 83.9%, 74.6%, 79.5%, and 82% respectively, the Guys score were 89.7%, 47.8%, 73.3%, 74.5% and 74.5% respectively and while the Bensson score were 88.6%, 35.3%, 75%, 58.5%, and 62.3% respectively. Conclusion We conclude that Siriraj stroke score showed good sensitivity and fair overall accuracy for hemorrhagic stroke even if it had poor specificity.","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study\",\"authors\":\"B. Mekonnen, M. Kebede\",\"doi\":\"10.2147/PROM.S374473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome these challenges and improve clinical bedside diagnosis, clinical stroke scores for stroke subtypes have been developed and recommended to be used in the absence of appropriate imaging modality. Methods We conducted a prospective cross-sectional study among stroke patients to compare the accuracy of level of clinical stroke score methods in differentiating stroke type with CT. it was conducted on 140 people at MTU teaching hospital in Bench-Sheko Zone, South-west Ethiopia. Data were collected using check list. Analysis of the data was done using SPSS version 24. Results Our result revealed an incidence of hemorrhagic stroke were 50%, ischemic stroke were 48.6% by CT evaluation. Specificity, sensitivity, positive predictive value, negative predictive value and the overall accuracy of Siriraj stroke score for differentiation of hemorrhage from ischemic stroke were 68.6%, 83.9%, 74.6%, 79.5%, and 82% respectively, the Guys score were 89.7%, 47.8%, 73.3%, 74.5% and 74.5% respectively and while the Bensson score were 88.6%, 35.3%, 75%, 58.5%, and 62.3% respectively. Conclusion We conclude that Siriraj stroke score showed good sensitivity and fair overall accuracy for hemorrhagic stroke even if it had poor specificity.\",\"PeriodicalId\":19747,\"journal\":{\"name\":\"Patient Related Outcome Measures\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patient Related Outcome Measures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/PROM.S374473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient Related Outcome Measures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/PROM.S374473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
背景无对比CT是区分脑卒中亚型的金标准。然而,对于大多数资源受限的设置来说,它仍然非常昂贵,并且遥不可及。临床上,并非所有患者都能明确诊断出出血性/缺血性脑卒中。为了克服这些挑战并改善临床床边诊断,卒中亚型的临床卒中评分已经被开发出来,并建议在缺乏适当成像方式的情况下使用。方法对脑卒中患者进行前瞻性横断面研究,比较临床脑卒中评分方法水平与CT鉴别脑卒中分型的准确性。该研究在埃塞俄比亚西南部Bench-Sheko区的MTU教学医院对140人进行。采用核对表法收集数据。数据分析使用SPSS version 24进行。结果CT显示出血性脑卒中发生率为50%,缺血性脑卒中发生率为48.6%。Siriraj卒中评分鉴别出血与缺血性卒中的特异性、敏感性、阳性预测值、阴性预测值和总体准确率分别为68.6%、83.9%、74.6%、79.5%和82%,Guys评分分别为89.7%、47.8%、73.3%、74.5%和74.5%,Bensson评分分别为88.6%、35.3%、75%、58.5%和62.3%。结论:尽管Siriraj卒中评分的特异性较差,但它对出血性卒中具有良好的敏感性和总体准确性。
The Validity of Clinical Scoring in the Diagnosis of Stroke Subtype: Validation Study
Background The gold standard for distinguishing stroke subtype is non-contrast CT. However, it’s still prohibitively expensive and out of reach for the majority of recourse-constrained settings. Clinically, not all patients will have a definite diagnosis of hemorrhagic/ischemic stroke. To overcome these challenges and improve clinical bedside diagnosis, clinical stroke scores for stroke subtypes have been developed and recommended to be used in the absence of appropriate imaging modality. Methods We conducted a prospective cross-sectional study among stroke patients to compare the accuracy of level of clinical stroke score methods in differentiating stroke type with CT. it was conducted on 140 people at MTU teaching hospital in Bench-Sheko Zone, South-west Ethiopia. Data were collected using check list. Analysis of the data was done using SPSS version 24. Results Our result revealed an incidence of hemorrhagic stroke were 50%, ischemic stroke were 48.6% by CT evaluation. Specificity, sensitivity, positive predictive value, negative predictive value and the overall accuracy of Siriraj stroke score for differentiation of hemorrhage from ischemic stroke were 68.6%, 83.9%, 74.6%, 79.5%, and 82% respectively, the Guys score were 89.7%, 47.8%, 73.3%, 74.5% and 74.5% respectively and while the Bensson score were 88.6%, 35.3%, 75%, 58.5%, and 62.3% respectively. Conclusion We conclude that Siriraj stroke score showed good sensitivity and fair overall accuracy for hemorrhagic stroke even if it had poor specificity.