Literature DB >> 29055738

The utility of preoperative laboratories in predicting postoperative complications following posterolateral lumbar fusion.

Nikita Lakomkin1, Vadim Goz2, Joseph S Cheng3, Darrel S Brodke2, William Ryan Spiker2.   

Abstract

BACKGROUND CONTEXT: Several studies have suggested that laboratory results have minimal impact on clinical decision making in surgery. Despite the widespread use of preoperative testing in spine surgery and the large volume of posterolateral lumbar fusions (PLFs) being performed each year, no study has assessed the ability of preoperative laboratories to predict adverse events following PLF.
PURPOSE: The purpose of this study was to explore the relationship between commonly obtained preoperative laboratory results and postoperative complications following one- to two-level PLF. STUDY
DESIGN: This is a retrospective study of prospectively collected data. PATIENT SAMPLE: The 2006-2013 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was employed to identify all patients who underwent one- to two-level PLF. OUTCOME MEASURES: The outcome variables of interest were 30-day postoperative complications, which were assessed as major complications, minor adverse events, and total complications.
MATERIALS AND METHODS: Demographics, comorbidities, and perioperative characteristics were collected for each patient. Preoperative laboratories included sodium, blood urea nitrogen, creatinine, albumin, bilirubin, serum glutamic oxaloacetic transaminase, alkaline phosphatase, white blood cell count, hematocrit, platelet count, prothrombin time, international normalized ratio, and partial thromboplastin time. Bivariate analysis and multivariate logistic regression modeling were used to explore the relationship between abnormal preoperative laboratories and the incidence of postoperative complications.
RESULTS: After controlling for age, ASA score, length of surgery, and all significant comorbidities, abnormal sodium (odds ratio [OR]=2.47, 95% confidence interval [CI]: 1.45-4.19, p=.001) and abnormal INR (OR=2.33, 95% CI: 1.09-4.98, p=.029) were significantly associated with the development of any complication. Sodium (OR=1.61, 95% CI: 1.01-2.54, p=.04) and platelets (OR=1.58, 95% CI: 1.02-2.44, p=.04) were associated with minor complications. Meanwhile, creatinine (OR=1.74, 95% CI: 1.02-2.99, p=.04) and platelets (OR=1.71, 95% CI: 1.02-2.89, p=.04) were significant predictors of major adverse events.
CONCLUSIONS: This study represents the first attempt to assess the utility of preoperative laboratories in predicting postoperative complications in PLF. Although the majority of laboratories were not significantly associated with adverse events, abnormal sodium values, INR, creatinine, and platelets were shown to be predictive of various complications.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adverse Events; Comorbidities; Fusion; Major complications; Minor complications; NSQIP; Outcomes; Preoperative Labs; Risk Stratification; Spine Surgery

Mesh:

Year:  2017        PMID: 29055738     DOI: 10.1016/j.spinee.2017.10.010

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  4 in total

1.  Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

Authors:  Paul T Ogink; Aditya V Karhade; Quirina C B S Thio; William B Gormley; Fetullah C Oner; Jorrit J Verlaan; Joseph H Schwab
Journal:  Eur Spine J       Date:  2019-04-02       Impact factor: 3.134

2.  New score for prediction of morbidity in patients undergoing open pancreaticoduodenectomy.

Authors:  Lian Chen; Li Peng; Chao Wang; Sheng-Chao Li; Meng Zhang
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

3.  Preoperative Cognitive Impairment as a Predictor of Postoperative Outcomes in Elderly Patients Undergoing Spinal Surgery for Degenerative Spinal Disease.

Authors:  Hyung Cheol Kim; Seong Bae An; Hyeongseok Jeon; Tae Woo Kim; Jae Keun Oh; Dong Ah Shin; Seong Yi; Keung Nyun Kim; Phil Hyu Lee; Suk Yun Kang; Yoon Ha
Journal:  J Clin Med       Date:  2021-03-30       Impact factor: 4.241

4.  Spine Surgery and Preoperative Hemoglobin, Hematocrit, and Hemoglobin A1c: A Systematic Review.

Authors:  Krishna V Suresh; Kevin Wang; Ishaan Sethi; Bo Zhang; Adam Margalit; Varun Puvanesarajah; Amit Jain
Journal:  Global Spine J       Date:  2021-01-21
  4 in total

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