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

Krishna V Suresh1, Kevin Wang1, Ishaan Sethi1

  • 1Department of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Global Spine Journal
|January 21, 2021
PubMed

Insights

Preoperative hemoglobin/hematocrit and HbA1c levels predict surgical outcomes. Low Hb/Hct indicate higher morbidity, while elevated HbA1c signals increased infection risk and costs in spine surgery patients.

Area of Science:

  • Spine Surgery
  • Anesthesiology
  • Laboratory Medicine

Background:

  • Preoperative laboratory values are crucial for patient risk stratification.
  • Hemoglobin/hematocrit (Hb/Hct) and hemoglobin A1c (HbA1c) are commonly assessed preoperatively.
  • Understanding their predictive value in major spine procedures is essential for optimizing patient outcomes.

Purpose of the Study:

  • To synthesize evidence on the clinical utility of preoperative Hb/Hct and HbA1c.
  • To evaluate their association with postoperative outcomes in patients undergoing specific spinal procedures.
  • To identify thresholds for risk stratification.

Main Methods:

  • Systematic review of literature.
  • Searched PubMed, Embase, Cochrane Library, and Web of Science.
  • Included studies on adult patients undergoing anterior cervical discectomy and fusion (ACDF), posterior cervical fusion (PCF), posterior lumbar fusion (PLF), or lumbar decompression (LD).

Main Results:

  • Twenty-one studies were included from 4,307 assessed publications.
  • Decreased preoperative Hb/Hct predicted increased postoperative morbidity (e.g., complications, transfusions, length of stay).
  • Elevated HbA1c was associated with increased infection risk, hospital costs, and poorer functional outcomes.

Conclusions:

  • Preoperative Hb/Hct and HbA1c are clinically useful predictors in spine surgery.
  • Hct <35-38% and HbA1c >6.5%-6.9% identify high-risk patients.
  • Routine pre-operative assessment of these labs is recommended for risk stratification.
Abstract