Anaesthetic drugs & techniques
Development and temporal validation of a simple computed tomography-based (CT-based) body surface landmark approach for optimising central venous catheter tip position in the superior vena cava
Main finding · Proportion of appropriately placed catheter tipsResult — go to the resultAdjusted odds ratio for appropriate positioning 4.68 95% CI 1.97–12.27Authors' conclusion
A CT-based body surface landmark approach was associated with improved consistency of appropriate CVC tip placement and enables patient-specific estimation of insertion depth.
Study context
- Population
- Adult patients undergoing surgery requiring central venous catheter (CVC) placement via the right internal jugular vein with preoperative chest CT; tertiary care hospital in Japan, February 2017 to June 2019included after exclusions, per cohort · derivation cohort 86 · validation cohort 100
- Participants
- 100 vs 86
- Exposure
- Validation cohort vs derivation cohort
- Validation cohortn = 100
- Derivation cohortn = 86
- Outcome
- Proportion of appropriately placed catheter tips
Methodological detailsdevelopment and temporal validation
- Development and temporal validation
Main finding
As reported in the abstract
Adjusted odds ratio for appropriate positioning
4.68
95% CI 1.97–12.27
By group
Model-guided placement
adjusted odds ratio for appropriate positioning 4.68 (95% CI 1.97–12.27)
Observational data: associations, not effects.
Further findings
Final model for optimal insertion depth (OID)
- Sole predictor: insertion point-to-body surface landmark distance (ILD), landmark corresponding to the CT-identified midpoint of Zone B
- OID (cm) = 0.64 × ILD + 3.64
Model performance
- Moderate explanatory ability (R2) in both cohorts
- ≈50%
- Good calibration in both cohorts
Original publication
Development and temporal validation of a simple CT-based body surface landmark approach for optimising central venous catheter tip position in the superior vena cava. Eur J Anaesthesiol. Published 20 October 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →