The Influence of High Blood Pressure on Developing Symptomatic Lumbar Epidural Hematoma after Posterior Lumbar Spinal Fusion Surgery: Clinical Data Warehouse Analysis.

clinical data warehouse (CDW) posterior lumbar spinal fusion surgery symptomatic lumbar epidural hematoma (SLEH) systolic blood pressure (SBP)

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
03 Aug 2022
Historique:
received: 07 06 2022
revised: 25 07 2022
accepted: 29 07 2022
entrez: 12 8 2022
pubmed: 13 8 2022
medline: 13 8 2022
Statut: epublish

Résumé

Determining the risk factors for symptomatic lumbar epidural hematoma (SLEH) is important for preventing postoperative SLEH. However, the relationship between blood pressure and SLEH is still debatable. The purpose of our study was to determine the risk factors for postoperative SLEH, to assess the influence of high blood pressure on developing SLEH after posterior lumbar spinal fusion surgery, and to evaluate the usefulness of big data analysis utilizing a clinical data warehouse (CDW). The clinical data of patients who had undergone posterior lumbar spinal fusion surgery were acquired from the CDW of Hallym University Medical Center. The acquired clinical data were compared between patients without postoperative SLEH and with postoperative SLEH. Postoperative SLEH that required hematoma evacuation surgery within 72 h after posterior lumbar spinal fusion surgery occurred in 17 (1.3%) of 1313 patients. According to the multivariate logistic regression analysis, the risk factors for postoperative SLEH are platelet count difference (OR 1.28, Big data analysis utilizing a CDW could be useful for extending our knowledge of the risk factors for postoperative SLEH and preventing postoperative SLEH after posterior lumbar spinal fusion surgery.

Sections du résumé

BACKGROUND BACKGROUND
Determining the risk factors for symptomatic lumbar epidural hematoma (SLEH) is important for preventing postoperative SLEH. However, the relationship between blood pressure and SLEH is still debatable. The purpose of our study was to determine the risk factors for postoperative SLEH, to assess the influence of high blood pressure on developing SLEH after posterior lumbar spinal fusion surgery, and to evaluate the usefulness of big data analysis utilizing a clinical data warehouse (CDW).
METHODS METHODS
The clinical data of patients who had undergone posterior lumbar spinal fusion surgery were acquired from the CDW of Hallym University Medical Center. The acquired clinical data were compared between patients without postoperative SLEH and with postoperative SLEH.
RESULTS RESULTS
Postoperative SLEH that required hematoma evacuation surgery within 72 h after posterior lumbar spinal fusion surgery occurred in 17 (1.3%) of 1313 patients. According to the multivariate logistic regression analysis, the risk factors for postoperative SLEH are platelet count difference (OR 1.28,
CONCLUSIONS CONCLUSIONS
Big data analysis utilizing a CDW could be useful for extending our knowledge of the risk factors for postoperative SLEH and preventing postoperative SLEH after posterior lumbar spinal fusion surgery.

Identifiants

pubmed: 35956136
pii: jcm11154522
doi: 10.3390/jcm11154522
pmc: PMC9369553
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

J Neurosurg. 1995 Jul;83(1):1-7
pubmed: 7782824
J Spinal Disord. 1996 Oct;9(5):401-3
pubmed: 8938608
Spine (Phila Pa 1976). 2015 Jul 1;40(13):1046-52
pubmed: 25768686
World Neurosurg. 2019 Jun;126:e786-e792
pubmed: 30878758
Spine (Phila Pa 1976). 2004 May 15;29(10):1066-8
pubmed: 15131430
Spine (Phila Pa 1976). 2008 Jan 1;33(1):108-13
pubmed: 18165756
Eur Spine J. 2015 Feb;24(2):348-57
pubmed: 24760464
J Spinal Disord Tech. 2011 May;24(3):146-50
pubmed: 20634731
J Neurosurg Spine. 2006 Nov;5(5):404-9
pubmed: 17120889
J Bone Joint Surg Br. 2005 Sep;87(9):1248-52
pubmed: 16129751
Arch Phys Med Rehabil. 2009 Nov;90(11):1964-8
pubmed: 19887225
J Orthop Surg (Hong Kong). 2019 Sep-Dec;27(3):2309499019885449
pubmed: 31802708
Clin Orthop Relat Res. 2010 Oct;468(10):2690-4
pubmed: 20091386
Eur Spine J. 2004 Feb;13(1):9-13
pubmed: 14615928
Rev Chir Orthop Reparatrice Appar Mot. 2000 Jun;86(4):335-45
pubmed: 10880933
Acta Neurochir (Wien). 2003 May;145(5):411-4; discussion 414-5
pubmed: 12820049
Int J Equity Health. 2017 Mar 3;16(1):42
pubmed: 28253876
Spine J. 2013 Feb;13(2):134-40
pubmed: 23218510
Int Orthop. 2017 Nov;41(11):2297-2302
pubmed: 28852822
Yonsei Med J. 2006 Jun 30;47(3):326-32
pubmed: 16807981
Spine J. 2015 Jun 1;15(6):1179-87
pubmed: 24316117
Eur Spine J. 2017 Oct;26(10):2606-2615
pubmed: 28597302
J Neurosurg Spine. 2011 Aug;15(2):202-5
pubmed: 21529204
J Spinal Disord Tech. 2006 May;19(3):171-7
pubmed: 16770213
Spine (Phila Pa 1976). 2002 Aug 1;27(15):1670-3
pubmed: 12163731
Circulation. 1990 Jan;81(1):107-17
pubmed: 2297818

Auteurs

Jin-Seo Yang (JS)

Department of Neurosurgery, Chunchon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24252, Korea.

Young-Suk Kwon (YS)

Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.
Department of Anesthesiology and Pain Medicine, College of Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.

Jong-Ho Kim (JH)

Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.
Department of Anesthesiology and Pain Medicine, College of Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.

Jae-Jun Lee (JJ)

Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.
Department of Anesthesiology and Pain Medicine, College of Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.

Eun-Min Seo (EM)

Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.
Department of Orthopedic Surgery, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea.

Classifications MeSH