Ashutosh Kumar Singh, Safal Dhungel, Zeeshan Ahmad, Simon Holmes
{"title":"基于app的颌面外伤评分能否预测手术时间、ICU需求和住院时间?","authors":"Ashutosh Kumar Singh, Safal Dhungel, Zeeshan Ahmad, Simon Holmes","doi":"10.1177/19433875211055598","DOIUrl":null,"url":null,"abstract":"Study Design Retrospective chart review Objective Injury and trauma scores are the mainstay of predicting outcomes of trauma patients. ZS (Zeeshan and Simon) maxillofacial trauma score is based on 4 previous facial trauma scores and is user friendly, app-based visually coded facial trauma scoring system. Our study was designed to seek the application of an app-based ZS maxillofacial trauma score to predict the operative time, intensive care unit (ICU) need and length of stay. Methods We performed a retrospective chart review of patients who presented to a university medical college teaching hospital with maxillofacial fractures from October 2018 until October 2019. ZS maxillofacial trauma scoring app was used to calculate the ZS maxillofacial trauma severity score, which was our primary predictor variable. Our primary outcome of interest was operative time. Our secondary outcome of interest was ICU need and length of stay. Correlation analysis, linear regression and logistic regression were performed for statistical analysis. A statistical P-value of .05 was considered significant at a 95% confidence interval. Results There were 95 male and 5 female patients included in the study. The age ranged from 3 to 84 years with a mean of 30.76 (SD = 14.04). A statistically significant correlation between the ZS score and operative time (r = 0.67, P < .001) was observed. ZS score predicted operative time (b 1 = 7.67, P < .001) in our study sample. Increasing ZS trauma score was also significantly associated with ICU requirement (X 2 (3) = 13.682, P = .003), but the length of stay could not be predicted based on ZS score. Conclusions: ZS maxillofacial trauma score can predict the operative time, and an association was seen with the need for ICU with increasing ZS score, but could not predict the length of stay or the ICU need. It has potential for future integration with electronic health record systems.","PeriodicalId":46447,"journal":{"name":"Craniomaxillofacial Trauma & Reconstruction","volume":"15 4","pages":"332-339"},"PeriodicalIF":0.8000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647374/pdf/","citationCount":"0","resultStr":"{\"title\":\"Can an App-Based Maxillofacial Trauma Score Predict the Operative Time, ICU Need and Length of Stay?\",\"authors\":\"Ashutosh Kumar Singh, Safal Dhungel, Zeeshan Ahmad, Simon Holmes\",\"doi\":\"10.1177/19433875211055598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Study Design Retrospective chart review Objective Injury and trauma scores are the mainstay of predicting outcomes of trauma patients. ZS (Zeeshan and Simon) maxillofacial trauma score is based on 4 previous facial trauma scores and is user friendly, app-based visually coded facial trauma scoring system. Our study was designed to seek the application of an app-based ZS maxillofacial trauma score to predict the operative time, intensive care unit (ICU) need and length of stay. Methods We performed a retrospective chart review of patients who presented to a university medical college teaching hospital with maxillofacial fractures from October 2018 until October 2019. ZS maxillofacial trauma scoring app was used to calculate the ZS maxillofacial trauma severity score, which was our primary predictor variable. Our primary outcome of interest was operative time. Our secondary outcome of interest was ICU need and length of stay. Correlation analysis, linear regression and logistic regression were performed for statistical analysis. A statistical P-value of .05 was considered significant at a 95% confidence interval. Results There were 95 male and 5 female patients included in the study. The age ranged from 3 to 84 years with a mean of 30.76 (SD = 14.04). A statistically significant correlation between the ZS score and operative time (r = 0.67, P < .001) was observed. ZS score predicted operative time (b 1 = 7.67, P < .001) in our study sample. Increasing ZS trauma score was also significantly associated with ICU requirement (X 2 (3) = 13.682, P = .003), but the length of stay could not be predicted based on ZS score. Conclusions: ZS maxillofacial trauma score can predict the operative time, and an association was seen with the need for ICU with increasing ZS score, but could not predict the length of stay or the ICU need. 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引用次数: 0
摘要
研究设计:回顾性图表回顾。目的:损伤和创伤评分是预测创伤患者预后的主要依据。ZS (Zeeshan and Simon)颌面创伤评分基于先前的4个面部创伤评分,是一个用户友好的、基于应用程序的视觉编码面部创伤评分系统。我们的研究旨在寻求应用基于app的ZS颌面创伤评分来预测手术时间、重症监护病房(ICU)需求和住院时间。方法:对2018年10月至2019年10月在某大学医学院附属医院就诊的颌面部骨折患者进行回顾性分析。使用ZS颌面创伤评分应用程序计算ZS颌面创伤严重程度评分,这是我们的主要预测变量。我们关注的主要结果是手术时间。我们感兴趣的次要结局是ICU需求和住院时间。采用相关分析、线性回归和逻辑回归进行统计分析。在95%置信区间内,p值为0.05被认为是显著性的。结果:男性95例,女性5例。年龄3 ~ 84岁,平均30.76岁(SD = 14.04)。ZS评分与手术时间的相关性有统计学意义(r = 0.67, P .001)。ZS评分预测手术时间(b1 = 7.67, P .001)。ZS创伤评分升高与ICU需求也显著相关(x2 (3) = 13.682, P = 0.003),但ZS评分不能预测住院时间。结论:ZS颌面外伤评分可以预测手术时间,ZS评分的升高与患者是否需要ICU治疗有一定的相关性,但不能预测患者的住院时间和ICU治疗的需要。它有可能在未来与电子健康记录系统集成。
Can an App-Based Maxillofacial Trauma Score Predict the Operative Time, ICU Need and Length of Stay?
Study Design Retrospective chart review Objective Injury and trauma scores are the mainstay of predicting outcomes of trauma patients. ZS (Zeeshan and Simon) maxillofacial trauma score is based on 4 previous facial trauma scores and is user friendly, app-based visually coded facial trauma scoring system. Our study was designed to seek the application of an app-based ZS maxillofacial trauma score to predict the operative time, intensive care unit (ICU) need and length of stay. Methods We performed a retrospective chart review of patients who presented to a university medical college teaching hospital with maxillofacial fractures from October 2018 until October 2019. ZS maxillofacial trauma scoring app was used to calculate the ZS maxillofacial trauma severity score, which was our primary predictor variable. Our primary outcome of interest was operative time. Our secondary outcome of interest was ICU need and length of stay. Correlation analysis, linear regression and logistic regression were performed for statistical analysis. A statistical P-value of .05 was considered significant at a 95% confidence interval. Results There were 95 male and 5 female patients included in the study. The age ranged from 3 to 84 years with a mean of 30.76 (SD = 14.04). A statistically significant correlation between the ZS score and operative time (r = 0.67, P < .001) was observed. ZS score predicted operative time (b 1 = 7.67, P < .001) in our study sample. Increasing ZS trauma score was also significantly associated with ICU requirement (X 2 (3) = 13.682, P = .003), but the length of stay could not be predicted based on ZS score. Conclusions: ZS maxillofacial trauma score can predict the operative time, and an association was seen with the need for ICU with increasing ZS score, but could not predict the length of stay or the ICU need. It has potential for future integration with electronic health record systems.