Risk factors for hidden blood loss after percutaneous endoscopic unilateral laminotomy for bilateral decompression in elderly patients with lumbar spinal stenosis
Minimally Invasive Orthopedic Techniques and Perioperative Safety|更新时间:2026-07-24
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Risk factors for hidden blood loss after percutaneous endoscopic unilateral laminotomy for bilateral decompression in elderly patients with lumbar spinal stenosis
JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERYVol. 35, Issue 7, Pages: 574-578(2026)
MA Xiao-liang,ZHANG Ling-hao,ZHANG Hong-tao,et al.Risk factors for hidden blood loss after percutaneous endoscopic unilateral laminotomy for bilateral decompression in elderly patients with lumbar spinal stenosis[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(07):574-578.
MA Xiao-liang,ZHANG Ling-hao,ZHANG Hong-tao,et al.Risk factors for hidden blood loss after percutaneous endoscopic unilateral laminotomy for bilateral decompression in elderly patients with lumbar spinal stenosis[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(07):574-578.DOI: 10.11659/jjssx.10E025011.
Risk factors for hidden blood loss after percutaneous endoscopic unilateral laminotomy for bilateral decompression in elderly patients with lumbar spinal stenosis
To investigate the occurrence and risk factors of hidden blood loss (HBL) after percutaneous endoscopic unilateral laminotomy for bilateral decompression (Endo-ULBD) in elderly patients with lumbar spinal stenosis (LSS).
Methods
2
The clinical data of 216 elderly patients with LSS who underwent single‑segment Endo‑ULBD at Xi'an People's Hospital were retrospectively analyzed.The postoperative HBL was estimated using the Gross formula. Univariate analysis and
Spearman
rank correlation analysis were performed to screen factors associated with HBL. A multivariate linear regression model was constructed to identify the independent factors associated with HBL.
Logistic
regression was conducted to analyze risk factors for high HBL, and the model's discriminative ability and calibration were evaluated.
Results
2
The postoperative HBL in the 216 patients was 372.51 (322.46, 409.23)mL, accounting for 89.32% of the total blood loss (TBL). Univariate analysis indicated that patients with hypertension, osteopenia or osteoporosis had significantly higher levels of postoperative HBL (
P
<
0.05).
Spearman
rank correlation analysis revealed that operative time and BMI were positively correlated with HBL (
P
<
0.01). Multivariate linear regression analysis demonstrated that operative time (
B
=0.002,
β
=0.439,
P
<
0.001) and BMI (
B
=0.007,
β
=0.151,
P
=0.015) were identified as independent factors associated with postoperative HBL. Further
Logistic
regression analysis demonstrated that operative time was an independent risk factor for high HBL (
OR
=1.030, 95%
CI
:1.018 to 1.042,
P
<
0.001).
Receiver operating characteristic
(
ROC
) curve analysis showed that the
area under the curve
(
AUC
) of the multivariate
Logistic
regression prediction model was 0.764 (95%
CI
: 0.701 to 0.823), and the calibration curve indicated acceptable model fit.
Conclusion
2
Postoperative HBL accounted for a considerable proportion in elderly LSS patients undergoing Endo‑ULBD. Prolonged operative time and higher BMI were independently associated with increased postoperative HBL, with operative time identified as an independent risk factor for high HBL. The multivariate
Logistic
regression prediction model demonstrated moderate discriminative ability and acceptable calibration, although external validation is still required.
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