Influence of alcohol on in-hospital survival rate among patients with traumatic brain injury: a nationwide cohort study.

Kazuma Sasaki, Takashi Tagami, Hirofumi Obinata, Chie Tanaka, Kosuke Otake, Yudai Yoshino, Akihiro Watanabe, Ami Shibata, Kentaro Kuwamoto, Junichi Inoue, Shoji Yokobori
Author Information
  1. Kazuma Sasaki: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  2. Takashi Tagami: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan. t-tagami@nms.ac.jp.
  3. Hirofumi Obinata: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  4. Chie Tanaka: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  5. Kosuke Otake: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  6. Yudai Yoshino: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  7. Akihiro Watanabe: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  8. Ami Shibata: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  9. Kentaro Kuwamoto: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  10. Junichi Inoue: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
  11. Shoji Yokobori: Department of Emergency and Critical Care Medicine, Nippon Medical School Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Abstract

BACKGROUND: The impact of alcohol on the prognosis of patients with traumatic brain injury (TBI) remains unclear. While some reports suggest that alcohol may exert neuroprotective effects, others indicate that it can worsen neurological outcomes. This study aimed to evaluate the influence of alcohol consumption on TBI outcomes using a nationwide database in Japan.
METHODS: We analyzed data from approximately 290 hospitals contributing to the Japan Trauma Data Bank between 2004 and 2018. Patients with head injuries and documented pre-injury alcohol consumption were included. To adjust for potential confounders and institutional clustering, we employed propensity score methods-specifically inverse probability weighting (IPTW) and overlap weighting-and conducted multiple logistic regression with a generalized estimating equation. Covariates in the propensity score model included age, sex, day of the week, time of injury, period of injury, and past medical history. The primary outcome was in-hospital survival. Additionally, we fitted a multivariate logistic regression model (with survival as the outcome) to identify potential interactions and confounders. This model included type of trauma (blunt or penetrating), cause and setting of trauma, head Abbreviated Injury Scale score, multiple trauma status, the Injury Severity Score, and the propensity score.
RESULTS: Of the 83,789 patients who met the inclusion criteria, 15,752 had reported alcohol consumption prior to injury (alcohol group) and 68,037 did not (non-alcohol group). In-hospital survival was 91.5% in the alcohol group and 86.4% in the non-alcohol group (risk difference: 5.2%; 95% CI: 4.7-5.7). After adjustment, the alcohol group maintained a higher in-hospital survival rate (IPTW: 92.0% vs. 86.1%, risk difference: 6.2%; 95% CI: 5.9-6.2; overlap weighting: 91.7% vs. 85.4%, risk difference: 7.0%; 95% CI: 6.1-7.8). In the multivariate logistic regression, preinjury alcohol consumption was associated with higher survival (odds ratio: 1.58, 95% CI: 1.47-1.70, p���<���0.001).
CONCLUSIONS: In this nationwide study, preinjury alcohol consumption was associated with higher in-hospital survival among patients with TBI. Further research is warranted to elucidate the underlying mechanisms and confirm these findings in more diverse populations.

Keywords

References

  1. Injury. 2016 Jan;47(1):83-8 [PMID: 26556488]
  2. Medicine (Baltimore). 2023 Aug 25;102(34):e34560 [PMID: 37653804]
  3. Stat Med. 2014 Mar 30;33(7):1242-58 [PMID: 24122911]
  4. Acute Med Surg. 2021 Jul 03;8(1):e671 [PMID: 34262778]
  5. Bull World Health Organ. 2018 May 01;96(5):335-342 [PMID: 29875518]
  6. Emerg Med Australas. 2021 Aug;33(4):718-727 [PMID: 33496079]
  7. Stroke. 2012 Jan;43(1):205-10 [PMID: 22052512]
  8. Eur J Trauma Emerg Surg. 2019 Feb;45(1):151-158 [PMID: 28508098]
  9. Span J Psychol. 2021 Oct 14;24:e49 [PMID: 35923144]
  10. J Intensive Care. 2014 Dec 31;2(1):67 [PMID: 25705423]
  11. J Stud Alcohol Drugs. 2012 Jul;73(4):531-41 [PMID: 22630791]
  12. BMJ Open. 2016 Nov 1;6(11):e013176 [PMID: 27803110]
  13. J Surg Res. 2014 Aug;190(2):634-9 [PMID: 24857283]
  14. Am J Hum Genet. 2002 Jul;71(1):84-99 [PMID: 12050823]
  15. Alcohol Res Health. 2007;30(1):22-7 [PMID: 17718397]
  16. J Neurotrauma. 2000 Apr;17(4):261-72 [PMID: 10776911]
  17. Am Surg. 2011 Oct;77(10):1416-9 [PMID: 22127102]
  18. Injury. 2020 Jan;51(1):91-96 [PMID: 31623903]
  19. Psychol Bull. 2006 Jul;132(4):607-21 [PMID: 16822169]
  20. Alcohol. 2011 May;45(3):245-51 [PMID: 20843639]
  21. Lancet. 2018 Sep 22;392(10152):1015-1035 [PMID: 30146330]
  22. Alcohol Res. 2016;38(1):59-68 [PMID: 27163368]
  23. Am J Epidemiol. 2019 Jan 1;188(1):250-257 [PMID: 30189042]
  24. J Neurotrauma. 2002 Mar;19(3):317-26 [PMID: 11939499]
  25. Multivariate Behav Res. 2011 May;46(3):399-424 [PMID: 21818162]
  26. JAMA. 2020 Jun 16;323(23):2417-2418 [PMID: 32369102]
  27. Health Aff (Millwood). 2012 May;31(5):1049-56 [PMID: 22566445]
  28. J Trauma. 2010 Feb;68(2):357-62 [PMID: 20154549]
  29. BMJ. 2019 Jan 28;364:l295 [PMID: 30692081]
  30. J Crit Care. 2015 Dec;30(6):1382-9 [PMID: 26483354]
  31. Arch Surg. 2006 Dec;141(12):1185-91; discussion 1192 [PMID: 17178960]

MeSH Term

Humans
Brain Injuries, Traumatic
Female
Male
Middle Aged
Japan
Adult
Cohort Studies
Aged
Alcohol Drinking
Propensity Score
Logistic Models
Survival Rate
Hospital Mortality

Word Cloud

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