상세 보기
- Wang, Shao-An;
- Chang, Chih-Jung;
- Shin, Shan Do;
- Chu, Sheng-En;
- Huang, Chun-Yen;
- ... Lee, Seung Chul;
- 외 59명
SCOPUS
4초록
Background/Purpose: To develop a prediction model for emergency medical technicians (EMTs) to identify trauma patients at high risk of deterioration to emergency medical service (EMS)-witnessed traumatic cardiac arrest (TCA) on the scene or en route. Methods: We developed a prediction model using the classical cross-validation method from the Pan-Asia Trauma Outcomes Study (PATOS) database from 1 January 2015 to 31 December 2020. Eligible patients aged ≥18 years were transported to the hospital by the EMS. The primary outcome (EMS-witnessed TCA) was defined based on changes in vital signs measured on the scene or en route. We included variables that were immediately measurable as potential predictors when EMTs arrived. An integer point value system was built using multivariable logistic regression. The area under the receiver operating characteristic (AUROC) curve and Hosmer-Lemeshow (HL) test were used to examine discrimination and calibration in the derivation and validation cohorts. Results: In total, 74,844 patients were eligible for database review. The model comprised five prehospital predictors: age <40 years, systolic blood pressure <100 mmHg, respiration rate >20/minute, pulse oximetry <94%, and levels of consciousness to pain or unresponsiveness. The AUROC in the derivation and validation cohorts was 0.767 and 0.782, respectively. The HL test revealed good calibration of the model (p = 0.906). Conclusion: We established a prediction model using variables from the PATOS database and measured them immediately after EMS personnel arrived to predict EMS-witnessed TCA. The model allows prehospital medical personnel to focus on high-risk patients and promptly administer optimal treatment. © 2023 Formosan Medical Association
키워드
- 제목
- Development of a prediction model for emergency medical service witnessed traumatic out-of-hospital cardiac arrest: A multicenter cohort study
- 저자
- Wang, Shao-An; Chang, Chih-Jung; Shin, Shan Do; Chu, Sheng-En; Huang, Chun-Yen; Hsu, Li-Min; Lin, Hao-Yang; Hong, Ki Jeong; Jamaluddin, Sabariah Faizah; Son, Do Ngoc; Ramakrishnan, T.V.; Chiang, Wen-Chu; Sun, Jen-Tang; Ma, Matthew Huei-Ming; The PATOS Clinical Research Network; Tanaka, Hideharu; Velasco, Bernadett; Khruekarnchana, Pairoj; Fares, Saleh; Participating Nation Investigators; Rao, Ramana; Abraham, George P.; Bin, Mohidin Mohd Amin; Saim, Al-Hilmi; Kean, Lim Chee; Anthonysamy, Cecilia; Din, Mohd Yssof Shah Jahan; Ji, Kang Wen; Kheng, Cheah Phee; Ali, Shamila bt Mohamad; Ramanathan, Periyanayaki; Yang, Chia Boon; Chia, Hon Woei; Hamad, Hafidahwati binti; Ismail, Samsu Ambia; Wan, Abdullah Wan Rasydan B.; Kimura, Akio; Gundran, Carlos D.; Convocar, Pauline; Sabarre, Nerissa G.; Tiglao, Patrick Joseph; Song, Kyoung Jun; Jeong, Joo; Moon, Sung Woo; Kim, Joo Yeong; Cha, Won Chul; Lee, Seung Chul; Ahn, Jae Yun; Lee, Kang Hyeon; Yeom, Seok Ran; Ryu, Hyeon Ho; Kim, Su Jin; Kim, Sang Chul; Hu, Ray-Heng; Wang, Ruei-Fang; Hsieh, Shang-Lin; Kao, Wei-Fong; Riyapan, Sattha; Tianwibool, Parinya; Buaprasert, Phudit; Akaraborworn, Osaree; Al, Sakaf Omer Ahmed; Huy, Le Bao; Van, Dai Nguyen; Participating Site Investigators
- 발행일
- 2024-01
- 유형
- Article
- 권
- 123
- 호
- 1
- 페이지
- 23 ~ 35