{"title":"床边试验的评价和预测困难喉镜检查模型的建议:前瞻性观察研究","authors":"Chara Liaskou , Eleftherios Vouzounerakis , Anastasia Trikoupi , Chryssoula Staikou","doi":"10.1016/j.bjan.2020.02.007","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objectives</h3><p>The prediction of difficult laryngoscopy is based on tests that assess anatomic characteristics of face and neck. We aimed to identify the most accurate tests and propose a multivariate predictive model<strong>.</strong></p></div><div><h3>Methods</h3><p>This prospective observational study included 1134 patients. Thyromental Distance (TMD), Sternomental Distance (STMD), Ratio of Height‐to‐Thyromental Distance (R‐H/TMD), Neck Circumference (NC), Ratio of Neck Circumference‐to‐Thyromental Distance (R‐NC/TMD), Hyomental Distance with head in Neutral Position (HMD‐NP) and at Maximal Extension (HMD‐HE), Ratio of Hyomental Distance at Maximal head extension‐to‐hyomental distance in neutral position (R‐HMD), Mallampati Class (MLC), Upper Lip Bite Test (ULBT), Mouth Opening (MO) and Head Extension (HE) were assessed preoperatively<strong>.</strong> A Cormack‐Lehane Grade ≥ 3 was defined as Difficult Laryngoscopy. Sensitivity, specificity, positive and negative predictive values were assessed for all tests. Multivariate analysis with logistic regression was used to create the predictive models.</p></div><div><h3>Results</h3><p>A model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed high prognostic accuracy; x<sup>2</sup>(5)<!--> <!-->=<!--> <!-->109.12, <em>p</em> <<!--> <!-->0.001, AUC<!--> <!-->=<!--> <!-->0.86, <em>p</em> <<!--> <!-->0.001). Its sensitivity, specificity and negative predictive value were 82.3%, 74.8% and 97.4%, respectively. A second model including two measurements not requiring patient's cooperation (R‐NC/TMD and HMD‐HE) exhibited good prognostic performance; x<sup>2</sup>(2)<!--> <!-->=<!--> <!-->63.5, <em>p</em> <<!--> <!-->0.001, AUC<!--> <!-->=<!--> <!-->0.77, <em>p</em> <<!--> <!-->0.001. Among single tests, HE had the highest sensitivity (78.5%) and negative predictive value (96%).</p></div><div><h3>Conclusions</h3><p>A five‐variable model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed satisfyingly high predictive value for difficult laryngoscopy. A model including R‐NC/TMD and HMD‐HE could be useful in incapable patients. The most accurate single predictor was HE.</p></div>","PeriodicalId":21261,"journal":{"name":"Revista brasileira de anestesiologia","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bjan.2020.02.007","citationCount":"0","resultStr":"{\"title\":\"Avaliação de testes à beira leito e proposta de modelo para prever laringoscopia difícil: estudo prospectivo observacional\",\"authors\":\"Chara Liaskou , Eleftherios Vouzounerakis , Anastasia Trikoupi , Chryssoula Staikou\",\"doi\":\"10.1016/j.bjan.2020.02.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and objectives</h3><p>The prediction of difficult laryngoscopy is based on tests that assess anatomic characteristics of face and neck. We aimed to identify the most accurate tests and propose a multivariate predictive model<strong>.</strong></p></div><div><h3>Methods</h3><p>This prospective observational study included 1134 patients. Thyromental Distance (TMD), Sternomental Distance (STMD), Ratio of Height‐to‐Thyromental Distance (R‐H/TMD), Neck Circumference (NC), Ratio of Neck Circumference‐to‐Thyromental Distance (R‐NC/TMD), Hyomental Distance with head in Neutral Position (HMD‐NP) and at Maximal Extension (HMD‐HE), Ratio of Hyomental Distance at Maximal head extension‐to‐hyomental distance in neutral position (R‐HMD), Mallampati Class (MLC), Upper Lip Bite Test (ULBT), Mouth Opening (MO) and Head Extension (HE) were assessed preoperatively<strong>.</strong> A Cormack‐Lehane Grade ≥ 3 was defined as Difficult Laryngoscopy. Sensitivity, specificity, positive and negative predictive values were assessed for all tests. Multivariate analysis with logistic regression was used to create the predictive models.</p></div><div><h3>Results</h3><p>A model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed high prognostic accuracy; x<sup>2</sup>(5)<!--> <!-->=<!--> <!-->109.12, <em>p</em> <<!--> <!-->0.001, AUC<!--> <!-->=<!--> <!-->0.86, <em>p</em> <<!--> <!-->0.001). Its sensitivity, specificity and negative predictive value were 82.3%, 74.8% and 97.4%, respectively. A second model including two measurements not requiring patient's cooperation (R‐NC/TMD and HMD‐HE) exhibited good prognostic performance; x<sup>2</sup>(2)<!--> <!-->=<!--> <!-->63.5, <em>p</em> <<!--> <!-->0.001, AUC<!--> <!-->=<!--> <!-->0.77, <em>p</em> <<!--> <!-->0.001. Among single tests, HE had the highest sensitivity (78.5%) and negative predictive value (96%).</p></div><div><h3>Conclusions</h3><p>A five‐variable model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed satisfyingly high predictive value for difficult laryngoscopy. A model including R‐NC/TMD and HMD‐HE could be useful in incapable patients. The most accurate single predictor was HE.</p></div>\",\"PeriodicalId\":21261,\"journal\":{\"name\":\"Revista brasileira de anestesiologia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bjan.2020.02.007\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista brasileira de anestesiologia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S003470941930443X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista brasileira de anestesiologia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S003470941930443X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的对喉镜检查困难的预测是基于对面部和颈部解剖特征的评估。我们的目的是确定最准确的测试,并提出一个多变量预测模型。方法前瞻性观察研究纳入1134例患者。甲状腺距离(TMD)、胸骨距离(STMD)、身高与甲状腺距离之比(R‐H/TMD)、颈围(NC)、颈围与甲状腺距离之比(R‐NC/TMD)、头部处于中性位置时的眼神经距离(HMD‐NP)和最大伸展时的眼神经距离(HMD‐HE)、头部处于最大伸展时的眼神经距离与中性位置时的眼神经距离之比(R‐HMD)、Mallampati分级(MLC)、上唇咬合测试(ULBT)、术前评估开口(MO)和头伸(HE)。Cormack‐Lehane分级≥3定义为喉镜检查困难。对所有试验的敏感性、特异性、阳性预测值和阴性预测值进行评估。采用logistic回归多变量分析建立预测模型。结果结合MLC、ULBT、HE、HMD‐HE和R‐NC/TMD的sa模型具有较高的预后准确性;X2 (5) = 109.12, p <0.001, AUC = 0.86, p <0.001)。其敏感性为82.3%,特异性为74.8%,阴性预测值为97.4%。第二个模型包括两项不需要患者配合的测量(R‐NC/TMD和HMD‐HE)显示出良好的预后表现;X2 (2) = 63.5, p <0.001, AUC = 0.77, p <0.001. 在单项检测中,HE的敏感性最高(78.5%),阴性预测值最高(96%)。结论MLC、ULBT、HE、HMD - HE和R - NC/TMD组成的五变量模型对困难喉镜检查具有较高的预测价值。包括R‐NC/TMD和HMD‐HE的模型可用于无能力患者。最准确的单一预测因子是HE。
Avaliação de testes à beira leito e proposta de modelo para prever laringoscopia difícil: estudo prospectivo observacional
Background and objectives
The prediction of difficult laryngoscopy is based on tests that assess anatomic characteristics of face and neck. We aimed to identify the most accurate tests and propose a multivariate predictive model.
Methods
This prospective observational study included 1134 patients. Thyromental Distance (TMD), Sternomental Distance (STMD), Ratio of Height‐to‐Thyromental Distance (R‐H/TMD), Neck Circumference (NC), Ratio of Neck Circumference‐to‐Thyromental Distance (R‐NC/TMD), Hyomental Distance with head in Neutral Position (HMD‐NP) and at Maximal Extension (HMD‐HE), Ratio of Hyomental Distance at Maximal head extension‐to‐hyomental distance in neutral position (R‐HMD), Mallampati Class (MLC), Upper Lip Bite Test (ULBT), Mouth Opening (MO) and Head Extension (HE) were assessed preoperatively. A Cormack‐Lehane Grade ≥ 3 was defined as Difficult Laryngoscopy. Sensitivity, specificity, positive and negative predictive values were assessed for all tests. Multivariate analysis with logistic regression was used to create the predictive models.
Results
A model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed high prognostic accuracy; x2(5) = 109.12, p < 0.001, AUC = 0.86, p < 0.001). Its sensitivity, specificity and negative predictive value were 82.3%, 74.8% and 97.4%, respectively. A second model including two measurements not requiring patient's cooperation (R‐NC/TMD and HMD‐HE) exhibited good prognostic performance; x2(2) = 63.5, p < 0.001, AUC = 0.77, p < 0.001. Among single tests, HE had the highest sensitivity (78.5%) and negative predictive value (96%).
Conclusions
A five‐variable model incorporating MLC, ULBT, HE, HMD‐HE and R‐NC/TMD showed satisfyingly high predictive value for difficult laryngoscopy. A model including R‐NC/TMD and HMD‐HE could be useful in incapable patients. The most accurate single predictor was HE.
期刊介绍:
The Brazilian Journal of Anesthesiology is the official journal of the Brazilian Anesthesiology Society. It publishes articles classified into the following categories:
-Scientific articles (clinical or experimental trials)-
Clinical information (case reports)-
Reviews-
Letters to the Editor-
Editorials.
The journal focuses primarily on clinical trials, with scope on clinical practice, aiming at providing applied tools to the anesthesiologist and critical care physician.
The Brazilian Journal of Anesthesiology accepts articles exclusively forwarded to it. Articles already published in other journals are not accepted. All articles proposed for publication are previously submitted to the analysis of two or more members of the Editorial Board or other specialized consultants.