Predictors of perioperative complications in paediatric cranial vault reconstruction surgery: a multicentre observational study from the Pediatric Craniofacial Collaborative Group

被引:22
作者
Goobie, S. M. [1 ,2 ]
Zurakowski, D. [1 ,2 ]
Isaac, K. V. [3 ]
Taicher, B. M. [4 ,5 ]
Fernandez, P. G. [6 ,7 ]
Derderian, C. K. [8 ,9 ]
Hetmaniuk, M. [10 ,11 ]
Stricker, P. A. [12 ,13 ]
Abruzzese, Christopher
Apuya, Jesus
Beethe, Amy
Benzon, Hubert
Binstock, Wendy
Brzenskim, Alyssa
Budac, Stefan
Busso, Veronica
Chhabada, Surendrasingh
Chiao, Franklin
Cladis, Franklyn
Claypool, Danielle
Collins, Michael
Dabek, Rachel
Dalesio, Nicholas
Falconl, Ricardo
Fernandez, Allison
Fernandez, Patrick
Fiadjoe, John
Gangadharan, Meera
Gentry, Katherine
Glover, Chris
Goobie, Susan M.
Gosman, Amanda
Grap, Shannon
Gries, Heike
Griffin, Allison
Haberkern, Charles
Hajduk, John
Hall, Rebecca
Hansen, Jennifer
Hetmaniuk, Mali
Hsieh, Vincent
Huang, Henry
Ingelmo, Pablo
Ivanova, Iskra
Jain, Ranu
Kars, Michelle
Kowalczyk-Derderian, Courtney
Kugler, Jane
Labovsky, Kristen
Lakheeram, Indrani
机构
[1] Harvard Med Sch, Boston, MA 02115 USA
[2] Boston Childrens Hosp, Dept Anesthesiol Crit Care & Pain Med, Boston, MA 02115 USA
[3] Univ British Columbia, Div Plast & Reconstruct Surg, Vancouver, BC, Canada
[4] Duke Univ, Med Ctr, Durham, NC USA
[5] Duke Childrens Hosp, Dept Anesthesiol, Durham, NC USA
[6] Univ Colorado, Sch Med, Dept Anesthesiol, Aurora, CO USA
[7] Childrens Hosp Colorado, Aurora, CO USA
[8] Childrens Med Ctr Dallas, Dept Anesthesiol & Crit Care, Dallas, TX USA
[9] Univ Texas Southwestern, Dallas, TX USA
[10] Univ Washington, Seattle, WA 98195 USA
[11] Seattle Childrens Hosp, Dept Anesthesiol & Pain Management, Seattle, WA USA
[12] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[13] Univ Penn, Perelman Sch Med, Dept Anesthesiol & Crit Care, Philadelphia, PA 19104 USA
关键词
predictive algorithm; perioperative complications; perioperative outcome; craniosynostosis; multivariable model; paediatrics; risk assessment; CRANIOSYNOSTOSIS; OUTCOMES; IMPACT; MANAGEMENT; REPAIR;
D O I
10.1016/j.bja.2018.10.061
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Background: The current incidence of major complications in paediatric craniofacial surgery in North America has not been accurately defined. In this report, the Pediatric Craniofacial Collaborative Group evaluates the incidence and determines the independent predictors of major perioperative complications using a multicentre database. Methods: The Pediatric Craniofacial Surgery Perioperative Registry was queried for subjects undergoing complex cranial vault reconstruction surgery over a 5-year period. Major perioperative complications were identified through a structured a priori consensus process. Logistic regression was applied to identify predictors of a major perioperative complication with bootstrapping to evaluate discrimination accuracy and provide internal validity of the multivariable model. Results: A total of 1814 patients from 33 institutions in the US and Canada were analysed; 15% were reported to have a major perioperative complication. Multivariable predictors included ASA physical status 3 or 4 (P = 0.005), craniofacial syndrome (P = 0.008), antifibrinolytic administered (P = 0.003), blood product transfusion >50 ml kg(-1) (P<0.001), and surgery duration over 5 h (P<0.001). Bootstrapping indicated that the predictive algorithm had good internal validity and excellent discrimination and model performance. A perioperative complication was estimated to increase the hospital length of stay by an average of 3 days (P<0.001). Conclusions: The predictive algorithm can be used as a prognostic tool to risk stratify patients and thereby potentially reduce morbidity and mortality. Craniofacial teams can utilise these predictors of complications to identify high-risk patients. Based on this information, further prospective quality improvement initiatives may decrease complications, and reduce morbidity and mortality.
引用
收藏
页码:215 / 223
页数:9
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