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Published in: European Journal of Trauma and Emergency Surgery 6/2022

Open Access 27-11-2021 | Central Nervous System Trauma | Original Article

Mortality risk stratification in isolated severe traumatic brain injury using the revised cardiac risk index

Authors: Maximilian Peter Forssten, Gary Alan Bass, Kai-Michael Scheufler, Ahmad Mohammad Ismail, Yang Cao, Niels Douglas Martin, Babak Sarani, Shahin Mohseni

Published in: European Journal of Trauma and Emergency Surgery | Issue 6/2022

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Abstract

Purpose

Traumatic brain injury (TBI) continues to be a significant cause of mortality and morbidity worldwide. As cardiovascular events are among the most common extracranial causes of death after a severe TBI, the Revised Cardiac Risk Index (RCRI) could potentially aid in the risk stratification of this patient population. This investigation aimed to determine the association between the RCRI and in-hospital deaths among isolated severe TBI patients.

Methods

All adult patients registered in the TQIP database between 2013 and 2017 who suffered an isolated severe TBI, defined as a head AIS ≥ 3 with an AIS ≤ 1 in all other body regions, were included. Patients were excluded if they had a head AIS of 6. The association between different RCRI scores (0, 1, 2, 3, ≥ 4) and in-hospital mortality was analyzed using a Poisson regression model with robust standard errors while adjusting for potential confounders, with RCRI 0 as the reference.

Results

259,399 patients met the study’s inclusion criteria. RCRI 2 was associated with a 6% increase in mortality risk [adjusted IRR (95% CI) 1.06 (1.01–1.12), p = 0.027], RCRI 3 was associated with a 17% increased risk of mortality [adjusted IRR (95% CI) 1.17 (1.05–1.31), p = 0.004], and RCRI ≥ 4 was associated with a 46% increased risk of in-hospital mortality [adjusted IRR(95% CI) 1.46 (1.11–1.90), p = 0.006], compared to RCRI 0.

Conclusion

An elevated RCRI ≥ 2 is significantly associated with an increased risk of in-hospital mortality among patients with an isolated severe traumatic brain injury. The simplicity and bedside applicability of the index makes it an attractive choice for risk stratification in this patient population.
Literature
1.
go back to reference Maas AIR, Menon DK, Adelson PD, Andelic N, Bell MJ, Belli A, et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 2017;16:987–1048.CrossRefPubMed Maas AIR, Menon DK, Adelson PD, Andelic N, Bell MJ, Belli A, et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 2017;16:987–1048.CrossRefPubMed
2.
go back to reference Corrigan JD, Selassie AW, Orman JA. The epidemiology of traumatic brain injury. J Head Trauma Rehabil. 2010;25:72–80.CrossRefPubMed Corrigan JD, Selassie AW, Orman JA. The epidemiology of traumatic brain injury. J Head Trauma Rehabil. 2010;25:72–80.CrossRefPubMed
6.
go back to reference Popescu C, Anghelescu A, Daia C, Onose G. Actual data on epidemiological evolution and prevention endeavours regarding traumatic brain injury. J Med Life. 2015;8:272–7.PubMedPubMedCentral Popescu C, Anghelescu A, Daia C, Onose G. Actual data on epidemiological evolution and prevention endeavours regarding traumatic brain injury. J Med Life. 2015;8:272–7.PubMedPubMedCentral
8.
go back to reference Dewan MC, Rattani A, Gupta S, Baticulon RE, Hung Y-C, Punchak M, et al. Estimating the global incidence of traumatic brain injury. J Neurosurg. 2018;130:1080–97.CrossRef Dewan MC, Rattani A, Gupta S, Baticulon RE, Hung Y-C, Punchak M, et al. Estimating the global incidence of traumatic brain injury. J Neurosurg. 2018;130:1080–97.CrossRef
9.
go back to reference Majdan M, Plancikova D, Brazinova A, Rusnak M, Nieboer D, Feigin V, et al. Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis. Lancet Public Health. 2016;1:e76-83.CrossRefPubMed Majdan M, Plancikova D, Brazinova A, Rusnak M, Nieboer D, Feigin V, et al. Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis. Lancet Public Health. 2016;1:e76-83.CrossRefPubMed
10.
go back to reference Astarabadi M, Khurrum M, Asmar S, Bible L, Chehab M, Castanon L, et al. The impact of non-neurological organ dysfunction on outcomes in severe isolated traumatic brain injury. J Trauma Acute Care Surg. 2020;89:405–10.CrossRefPubMed Astarabadi M, Khurrum M, Asmar S, Bible L, Chehab M, Castanon L, et al. The impact of non-neurological organ dysfunction on outcomes in severe isolated traumatic brain injury. J Trauma Acute Care Surg. 2020;89:405–10.CrossRefPubMed
11.
go back to reference Eric Nyam T-T, Ho C-H, Chio C-C, Lim S-W, Wang J-J, Chang C-H, et al. Traumatic brain injury increases the risk of major adverse cardiovascular and cerebrovascular events: a 13-year population-based study world. Neurosurgery. 2019;122:e740–53. Eric Nyam T-T, Ho C-H, Chio C-C, Lim S-W, Wang J-J, Chang C-H, et al. Traumatic brain injury increases the risk of major adverse cardiovascular and cerebrovascular events: a 13-year population-based study world. Neurosurgery. 2019;122:e740–53.
12.
go back to reference Robba C, Bonatti G, Pelosi P, Citerio G. Extracranial complications after traumatic brain injury: targeting the brain and the body. Curr Opin Crit Care. 2020;26:137–46.PubMed Robba C, Bonatti G, Pelosi P, Citerio G. Extracranial complications after traumatic brain injury: targeting the brain and the body. Curr Opin Crit Care. 2020;26:137–46.PubMed
13.
go back to reference Krishnamoorthy V, Komisarow JM, Laskowitz DT, Vavilala MS. Multiorgan dysfunction after severe traumatic brain injury: epidemiology, mechanisms, and clinical management. Chest. 2021;160:956–64.CrossRefPubMedPubMedCentral Krishnamoorthy V, Komisarow JM, Laskowitz DT, Vavilala MS. Multiorgan dysfunction after severe traumatic brain injury: epidemiology, mechanisms, and clinical management. Chest. 2021;160:956–64.CrossRefPubMedPubMedCentral
14.
go back to reference Kemp CD, Johnson JC, Riordan WP, Cotton BA. How we die: the impact of nonneurologic organ dysfunction after severe traumatic brain injury. Am Surg. 2008;74:866–72.CrossRefPubMed Kemp CD, Johnson JC, Riordan WP, Cotton BA. How we die: the impact of nonneurologic organ dysfunction after severe traumatic brain injury. Am Surg. 2008;74:866–72.CrossRefPubMed
15.
go back to reference Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100:1043–9.CrossRefPubMed Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100:1043–9.CrossRefPubMed
16.
go back to reference Duceppe E, Parlow J, MacDonald P, Lyons K, McMullen M, Srinathan S, et al. Canadian cardiovascular society guidelines on perioperative cardiac risk assessment and management for patients who undergo noncardiac surgery. Can J Cardiol. 2017;33:17–32.CrossRefPubMed Duceppe E, Parlow J, MacDonald P, Lyons K, McMullen M, Srinathan S, et al. Canadian cardiovascular society guidelines on perioperative cardiac risk assessment and management for patients who undergo noncardiac surgery. Can J Cardiol. 2017;33:17–32.CrossRefPubMed
17.
go back to reference Ford MK, Beattie WS, Wijeysundera DN. Systematic review: prediction of perioperative cardiac complications and mortality by the revised cardiac risk index. Ann Intern Med. 2010;152:26–35.CrossRefPubMed Ford MK, Beattie WS, Wijeysundera DN. Systematic review: prediction of perioperative cardiac complications and mortality by the revised cardiac risk index. Ann Intern Med. 2010;152:26–35.CrossRefPubMed
19.
go back to reference Forssten MP, Mohammad Ismail A, Borg T, Ahl R, Wretenberg P, Cao Y, et al. Postoperative mortality in hip fracture patients stratified by the revised cardiac risk index: a Swedish nationwide retrospective cohort study. Trauma Surg Acute Care Open. 2021;6:e000778.CrossRefPubMedPubMedCentral Forssten MP, Mohammad Ismail A, Borg T, Ahl R, Wretenberg P, Cao Y, et al. Postoperative mortality in hip fracture patients stratified by the revised cardiac risk index: a Swedish nationwide retrospective cohort study. Trauma Surg Acute Care Open. 2021;6:e000778.CrossRefPubMedPubMedCentral
24.
go back to reference Lindenauer PK, Pekow P, Wang K, Mamidi DK, Gutierrez B, Benjamin EM. Perioperative beta-blocker therapy and mortality after major noncardiac surgery. N Engl J Med. 2005;353:349–61.CrossRefPubMed Lindenauer PK, Pekow P, Wang K, Mamidi DK, Gutierrez B, Benjamin EM. Perioperative beta-blocker therapy and mortality after major noncardiac surgery. N Engl J Med. 2005;353:349–61.CrossRefPubMed
25.
go back to reference Fleisher LA, Fleischmann KE, Auerbach AD, Barnason Susan A, Beckman Joshua A, Bozkurt B, et al. ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery. Circulation. 2014;2014(130):278–333. Fleisher LA, Fleischmann KE, Auerbach AD, Barnason Susan A, Beckman Joshua A, Bozkurt B, et al. ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery. Circulation. 2014;2014(130):278–333.
26.
go back to reference R Development Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2008. Available from: http://www.R-project.org/. Accessed 22 Sept 2020 R Development Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2008. Available from: http://​www.​R-project.​org/​. Accessed 22 Sept 2020
27.
go back to reference Gundel O, Thygesen LC, Gögenur I, Ekeloef S. Postoperative mortality after a hip fracture over a 15-year period in Denmark: a national register study. Acta Orthop. 2020;91:58–62.CrossRefPubMed Gundel O, Thygesen LC, Gögenur I, Ekeloef S. Postoperative mortality after a hip fracture over a 15-year period in Denmark: a national register study. Acta Orthop. 2020;91:58–62.CrossRefPubMed
28.
go back to reference Cher EWL, Allen JC, Howe TS, Koh JSB. Comorbidity as the dominant predictor of mortality after hip fracture surgeries. Osteoporos Int. 2019;30:2477–83.CrossRefPubMed Cher EWL, Allen JC, Howe TS, Koh JSB. Comorbidity as the dominant predictor of mortality after hip fracture surgeries. Osteoporos Int. 2019;30:2477–83.CrossRefPubMed
29.
go back to reference Choi HG, Lee YB, Rhyu SH, Kwon BC, Lee JK. Mortality and cause of death postoperatively in patients with a hip fracture: a national cohort longitudinal follow-up study. Bone Joint J. 2018;100:436–42.CrossRefPubMed Choi HG, Lee YB, Rhyu SH, Kwon BC, Lee JK. Mortality and cause of death postoperatively in patients with a hip fracture: a national cohort longitudinal follow-up study. Bone Joint J. 2018;100:436–42.CrossRefPubMed
30.
go back to reference Mohseni S, Talving P, Wallin G, Ljungqvist O, Riddez L. Preinjury β-blockade is protective in isolated severe traumatic brain injury. J Trauma Acute Care Surg. 2014;76:804–8.CrossRefPubMed Mohseni S, Talving P, Wallin G, Ljungqvist O, Riddez L. Preinjury β-blockade is protective in isolated severe traumatic brain injury. J Trauma Acute Care Surg. 2014;76:804–8.CrossRefPubMed
31.
go back to reference Khalili H, Ahl R, Paydar S, Sjolin G, Cao Y, Abdolrahimzadeh Fard H, et al. Beta-blocker therapy in severe traumatic brain injury: a prospective randomized controlled trial. World J Surg. 2020;44:1844–53.CrossRefPubMed Khalili H, Ahl R, Paydar S, Sjolin G, Cao Y, Abdolrahimzadeh Fard H, et al. Beta-blocker therapy in severe traumatic brain injury: a prospective randomized controlled trial. World J Surg. 2020;44:1844–53.CrossRefPubMed
32.
go back to reference Ley EJ, Leonard SD, Barmparas G, Dhillon NK, Inaba K, Salim A, et al. Beta blockers in critically ill patients with traumatic brain injury: results from a multicenter, prospective, observational American association for the surgery of trauma study. J Trauma Acute Care Surg. 2018;84:234–44.CrossRefPubMed Ley EJ, Leonard SD, Barmparas G, Dhillon NK, Inaba K, Salim A, et al. Beta blockers in critically ill patients with traumatic brain injury: results from a multicenter, prospective, observational American association for the surgery of trauma study. J Trauma Acute Care Surg. 2018;84:234–44.CrossRefPubMed
33.
go back to reference Alali AS, Mukherjee K, McCredie VA, Golan E, Shah PS, Bardes JM, et al. Beta-blockers and traumatic brain injury: a systematic review and meta-analysis. Ann Surg. 2017;266:952–61.CrossRefPubMed Alali AS, Mukherjee K, McCredie VA, Golan E, Shah PS, Bardes JM, et al. Beta-blockers and traumatic brain injury: a systematic review and meta-analysis. Ann Surg. 2017;266:952–61.CrossRefPubMed
36.
go back to reference Peck KA, Calvo RY, Sise CB, Johnson J, Yen JW, Sise MJ, et al. Death after discharge: predictors of mortality in older brain-injured patients. J Trauma Acute Care Surg. 2014;77:978–83.CrossRefPubMed Peck KA, Calvo RY, Sise CB, Johnson J, Yen JW, Sise MJ, et al. Death after discharge: predictors of mortality in older brain-injured patients. J Trauma Acute Care Surg. 2014;77:978–83.CrossRefPubMed
37.
go back to reference Utomo WK, Gabbe BJ, Simpson PM, Cameron PA. Predictors of in-hospital mortality and 6-month functional outcomes in older adults after moderate to severe traumatic brain injury. Injury. 2009;40:973–7.CrossRefPubMed Utomo WK, Gabbe BJ, Simpson PM, Cameron PA. Predictors of in-hospital mortality and 6-month functional outcomes in older adults after moderate to severe traumatic brain injury. Injury. 2009;40:973–7.CrossRefPubMed
38.
go back to reference Gürsoy G, Gürsoy C, Kuşcu Y, Gümüş DS. APACHE II or INCNS to predict mortality in traumatic brain injury: a retrospective cohort study. Ulus Travma Acil Cerrahi Derg. 2020;26:893–8.PubMed Gürsoy G, Gürsoy C, Kuşcu Y, Gümüş DS. APACHE II or INCNS to predict mortality in traumatic brain injury: a retrospective cohort study. Ulus Travma Acil Cerrahi Derg. 2020;26:893–8.PubMed
39.
go back to reference Nik A, Sheikh Andalibi MS, Ehsaei MR, Zarifian A, Ghayoor Karimiani E, Bahadoorkhan G. The efficacy of Glasgow coma scale (GCS) score and acute physiology and chronic health evaluation (APACHE) II for predicting hospital mortality of ICU patients with acute traumatic brain injury. Bull Emerg Trauma. 2018;6:141–5.CrossRefPubMedPubMedCentral Nik A, Sheikh Andalibi MS, Ehsaei MR, Zarifian A, Ghayoor Karimiani E, Bahadoorkhan G. The efficacy of Glasgow coma scale (GCS) score and acute physiology and chronic health evaluation (APACHE) II for predicting hospital mortality of ICU patients with acute traumatic brain injury. Bull Emerg Trauma. 2018;6:141–5.CrossRefPubMedPubMedCentral
40.
go back to reference Nyam T-TE, Aoee K-H, Hung S-Y, Shen M-L, Yu T-C, Kuo J-R. Four score predicts early outcome in patients after traumatic brain injury. Neurocrit Care. 2017;26:225–31.CrossRefPubMed Nyam T-TE, Aoee K-H, Hung S-Y, Shen M-L, Yu T-C, Kuo J-R. Four score predicts early outcome in patients after traumatic brain injury. Neurocrit Care. 2017;26:225–31.CrossRefPubMed
41.
go back to reference El Hechi MW, Nour Eddine SA, Maurer LR, Kaafarani HMA. Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices. Surgery. 2021;169:750–4.CrossRefPubMed El Hechi MW, Nour Eddine SA, Maurer LR, Kaafarani HMA. Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices. Surgery. 2021;169:750–4.CrossRefPubMed
42.
go back to reference Hechi MWE, Maurer LR, Levine J, Zhuo D, Moheb ME, Velmahos GC, et al. Validation of the artificial intelligence-based predictive optimal trees in emergency surgery risk (POTTER) calculator in emergency general surgery and emergency laparotomy patients. J Am Coll Surg. 2021;232:912–9.CrossRefPubMed Hechi MWE, Maurer LR, Levine J, Zhuo D, Moheb ME, Velmahos GC, et al. Validation of the artificial intelligence-based predictive optimal trees in emergency surgery risk (POTTER) calculator in emergency general surgery and emergency laparotomy patients. J Am Coll Surg. 2021;232:912–9.CrossRefPubMed
43.
go back to reference Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–29.CrossRefPubMed Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–29.CrossRefPubMed
44.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.CrossRefPubMed
45.
go back to reference Bertsimas D, Dunn J, Velmahos GC, Kaafarani HMA. Surgical risk is not linear: derivation and validation of a novel, user-friendly, and machine-learning-based predictive optimal trees in emergency surgery risk (POTTER) calculator. Ann Surg. 2018;268:574–83.CrossRefPubMed Bertsimas D, Dunn J, Velmahos GC, Kaafarani HMA. Surgical risk is not linear: derivation and validation of a novel, user-friendly, and machine-learning-based predictive optimal trees in emergency surgery risk (POTTER) calculator. Ann Surg. 2018;268:574–83.CrossRefPubMed
49.
go back to reference Delanaye P, Mariat C, Maillard N, Krzesinski J-M, Cavalier E. Are the creatinine-based equations accurate to estimate glomerular filtration rate in African American populations? CJASN Am Soc Nephrol. 2011;6:906–12.CrossRef Delanaye P, Mariat C, Maillard N, Krzesinski J-M, Cavalier E. Are the creatinine-based equations accurate to estimate glomerular filtration rate in African American populations? CJASN Am Soc Nephrol. 2011;6:906–12.CrossRef
50.
go back to reference Delanaye P, Mariat C. The applicability of eGFR equations to different populations. Nat Rev Nephrol. 2013;9:513–22.CrossRefPubMed Delanaye P, Mariat C. The applicability of eGFR equations to different populations. Nat Rev Nephrol. 2013;9:513–22.CrossRefPubMed
51.
go back to reference Flamant M, Vidal-Petiot E, Metzger M, Haymann J-P, Letavernier E, Delatour V, et al. Performance of GFR estimating equations in African Europeans: basis for a lower race-ethnicity factor than in African Americans. Am J Kidney Dis. 2013;62:182–4.CrossRefPubMed Flamant M, Vidal-Petiot E, Metzger M, Haymann J-P, Letavernier E, Delatour V, et al. Performance of GFR estimating equations in African Europeans: basis for a lower race-ethnicity factor than in African Americans. Am J Kidney Dis. 2013;62:182–4.CrossRefPubMed
52.
go back to reference Cao Y, Forssten MP, Mohammad Ismail A, Borg T, Ioannidis I, Montgomery S, et al. Predictive values of preoperative characteristics for 30-day mortality in traumatic hip fracture patients. J Pers Med. 2021;11:353.CrossRefPubMedPubMedCentral Cao Y, Forssten MP, Mohammad Ismail A, Borg T, Ioannidis I, Montgomery S, et al. Predictive values of preoperative characteristics for 30-day mortality in traumatic hip fracture patients. J Pers Med. 2021;11:353.CrossRefPubMedPubMedCentral
Metadata
Title
Mortality risk stratification in isolated severe traumatic brain injury using the revised cardiac risk index
Authors
Maximilian Peter Forssten
Gary Alan Bass
Kai-Michael Scheufler
Ahmad Mohammad Ismail
Yang Cao
Niels Douglas Martin
Babak Sarani
Shahin Mohseni
Publication date
27-11-2021
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Trauma and Emergency Surgery / Issue 6/2022
Print ISSN: 1863-9933
Electronic ISSN: 1863-9941
DOI
https://doi.org/10.1007/s00068-021-01841-7

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