Facial Injury Severity Scale Score as a Predictor of Length of Stay for Maxillofacial Fracture at Sanglah General Hospital, Denpasar, Bali, Indonesia
DOI:
https://doi.org/10.3889/oamjms.2020.4231Keywords:
Maxillofacial trauma, Maxillofacial fracture, Facial injury severity scale, Predictive value, Predictor, Length of stayAbstract
INTRODUCTION: Maxillofacial fracture is the most common trauma that happened in the developing countries. One of the methods to evaluate the severity of maxillofacial fracture is by using the Facial Injury Severity Scale (FISS) score. Maxillofacial trauma causes multiple injuries, thus resulted in various periods of hospitalization.
AIM: The aim of this study is to use the employment of the FISS score to predict a patient’s length of stay.
METHODS: This research was a retrospective cohort and cross-sectional study on maxillofacial fracture patients whom treated in Sanglah General Hospital, Denpasar, Bali. As much as 89 subjects were included in this study and information about their age, gender, mechanism of injury, FISS score, treatments, and length of stay was collected. The data were statistically analyzed using bivariate, receiver operating characteristics (ROC), and linear regression analysis.
RESULTS: A total of 89 subjects were included in this study. Among them, 50 subjects had a high FISS score, and 39 subjects had low FISS score. The average age was 28.9 ± 13.3 years with a mean length of stay 6.39 ± 4.29 days. Bivariate analysis showed that the patients with high FISS score have 5.3 times higher risk to get a longer length of stay compared to those with low FISS score (95% CI: 2.289–12.289; p = 0.001). The mean of length of stay in subjects with a high FISS score was significantly higher compared to subjects with a low FISS score (mean for subjects with high score: 8.46 ± 4.63; mean for subjects with low score: 3.74 ± 1.46; p = 0.001) with a correlation value r = 0.718 (p = 0.001). ROC analysis represented that FISS score ˂4 was categorized as mild. The linear regression analysis showed that the length of stay for maxillofacial fracture patients was able to be predicted by LOS = 1.476 + 1.032 × FISS score.
CONCLUSION: The FISS score can predict the length of stay for patients with maxillofacial fracture.
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Sehat M, Naieni KH, Asadi-Lari M, Foroushani AR, Malek- Afzali H. Socioeconomic status and incidence of traffic accidents in metropolitan tehran: A population-based study. Int J Prev Med. 2012;3(3):181-90. PMid:22448311
Alves LS, Aragão I, Sousa MJ, Gomes E. Pattern of maxillofacial fractures in severe multiple trauma patients: A 7-year prospective study. Braz Dent J. 2014;25(6):561-4. https://doi. org/10.1590/0103-6440201302395 PMid:25590206
Brunette GW, Kozarsky PE, Magill AJ, Shlim DR. CDC health informat brunetteion for international travel 2010. In: CDC Health Information for International Travel 2010. Missouri, United States: Mosby Ltd.; 2009. https://doi.org/10.1086/649881
Wiargitha I, Wiradana A. Patterns of fracture site and management of maxillofacial trauma cases in the department of trauma and acute care surgery in sanglah general hospital. JBN. 2019;3(2):50. https://doi.org/10.24843/jbn.2019.v03.i02.p05
Adamo AAK, Editor C, Geibel J. Initial Evaluation and Management of Maxillofacial Injuries. Medscape Reference: Drug, Disease, & Procedues. 2012.https://emedicine. medscape.com/article/434875-overview#a1
Ramalingam S. Role of maxillofacial trauma scoring systems in determining the economic burden to maxillofacial trauma patients in India. J Int Oral Heal. 2015;7(4):38-43. PMid:25954069
Sahni V. Maxillofacial trauma scoring systems. Injury. 2016;47(7):1388-92. PMid:26971084
Bs S, Ramli R, Ahmed Z, Nur A, Ibrahim M, Rashdi M, et al. Cost analysis of facial injury treatment in two university hospitals in Malaysia: A prospective study. Clinicoecon Outcomes Res. 2017;9:107-13. https://doi.org/10.2147/ceor.s119910 PMid: 28223831
Rampisela R, Lumintang N, Ngantung JT. Hubungan facial injury severity scale dengan lama rawat inap pasien trauma maksilofasial di RSUP Prof. Dr R.D. Kandou Manado. J BIOMEDIK. 2017;9(1):5. https://doi.org/10.35790/ jbm.9.1.2017.15382
Bangun K. Evaluation of facial trauma severity in cipto mangunkusumo hospital using FISS scoring system. JPR. 2012;1(2):163-5. https://doi.org/10.14228/jpr.v1i2.45
Zhang J, Zhang Y, El-Maaytah M, Ma L, Liu L, Zhou LD. Maxillofacial injury severity score: Proposal of a new scoring system. Int J Oral Maxillofac Surg. 2006;35(2):109-14. https:// doi.org/10.1016/j.ijom.2005.06.019 PMid:16188427
Joshi A, Solanki N, Bhuta M, Bava J. Case of double right coronary artery: Diagnosed on computed tomography coronary angiography. J Indian Prosthodont Soc. 2008;8(2):108-11. https://doi.org/10.4103/2321-449x.168469
Catapano J, Fialkov JA, Binhammer PA, McMillan C, Antonyshyn OM. A new system for severity scoring of facial fractures: Development and validation. J Craniofac Surg. 2010;21(4):1098-103. https://doi.org/10.1097/ scs.0b013e3181e1b3c1 PMid:20613579
Ahmad Z, Nouraei R, Holmes S. Towards a classification system for complex craniofacial fractures. Br J Oral Maxillofac Surg. 2012;50(6):490-4. PMid:22000633
Bagheri SC, Dierks EJ, Kademani D, Holmgren E, Bell RB, Hommer L, et al. Application of a facial injury severity scale in craniomaxillofacial trauma. J Oral Maxillofac Surg. 2006;64(3):408-14. https://doi.org/10.1016/j.joms.2005.11.013 PMid:16487802
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Copyright (c) 2020 Esther Felicita Tambayong, Nengah Kuning Atmadjaya, Nyoman Golden, Ketut Wiargitha, Gede Bagus Mahadewa Tjokorda (Author)
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