Respiratory failure & ventilation
Establishment and validation of a risk prediction model for delayed neurocognitive recovery associated with cerebral oxygen saturation monitoring
Authors' conclusion
The risk prediction model of DNR related to cerebral oxygen saturation monitoring shows good predictive performance and clinical value, providing a basis for postoperative DNR prevention.
Study context
- Population
- Patients undergoing laparoscopic colorectal surgery, Xiangya Hospital of Central South University, March 2018 to July 2020
- Participants
- 204 patients
- Outcome
- Delayed neurocognitive recovery (DNR) post-operatively
Methodological detailsrisk prediction model, internal and external validation, single-centre
- Risk prediction model
- Internal and external validation
- Single-centre
Main finding
As reported in the abstract
Incidence of DNR
- Incidence of delayed neurocognitive recovery (DNR) (31/204)
- 15.2%
- Maximum variability of cerebral oxygen, age, education and pre-existing DM related to DNR incidence
- p < 0.05
Observational data: associations, not effects.
Further findings
Discrimination of DNR risk prediction model
- AUC, internal validation
- 0.751
- AUC, external validation (January–July 2021 patients)
- 0.694
Original publication
Establishment and validation of a risk prediction model for delayed neurocognitive recovery associated with cerebral oxygen saturation monitoring. Perioper Med (Lond). Published 16 July 2024. doi:10.
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