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NIRS-measured cerebral oxygen saturation predicts ROSC and neurological outcomes in adult cardiac arrestBrain oxygen monitoring during CPR may help predict recovery chances after cardiac arrest

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Key Takeaway
Consider NIRS-measured rSO trends as a potential adjunct for prognostication in cardiac arrest, recognizing evidence is observational.

A systematic review and meta-analysis examined the association between near-infrared spectroscopy (NIRS)-measured regional cerebral oxygen saturation (rSO) and clinical outcomes in 3880 nontraumatic adult cardiac arrest patients in prehospital and in-hospital emergency settings. The analysis did not specify a primary outcome or comparator.

For the outcome of return of spontaneous circulation (ROSC), higher delta rSO values (the change in saturation) during cardiac arrest showed the highest predictive power, with a standardized mean difference of 1.61 (95% CI 0.57-2.66; p=0.002). For favorable neurological outcome, higher rSO values measured after ROSC were associated with better prognosis, with a standardized mean difference of 0.38 (95% CI 0.12-0.65; p=0.004). Absolute event numbers were not reported.

Safety and tolerability data were not reported. A key limitation is that delta rSO values were calculated retrospectively, which poses a significant methodological constraint. The authors note the findings are associations, not causation, derived from a meta-analysis of observational/prognostic studies.

For practice, the implementation of NIRS in post-resuscitation care could be considered an additional component of early multimodal prognostication after cardiac arrest. However, clinicians should interpret these findings cautiously due to the observational nature of the evidence and the retrospective calculation of the key predictive metric (delta rSO).

Researchers analyzed data from 3,880 adults who experienced a cardiac arrest not caused by trauma. They looked at whether measuring oxygen levels in the brain during and after resuscitation attempts could help predict patient outcomes. The measurements were taken using a non-invasive technique called near-infrared spectroscopy (NIRS).

The review found that increases in brain oxygen levels during CPR were strongly linked to a higher chance of the heart restarting successfully. For patients whose hearts did restart, higher brain oxygen levels afterward were linked to a better chance of recovering brain function.

This was a meta-analysis, meaning it combined results from many smaller observational studies. The main caution is that these findings show a link or association, not a direct cause-and-effect relationship. The way the oxygen changes were calculated also has limitations, as it was done after the fact rather than in real-time.

For readers, this means the research suggests brain oxygen monitoring could one day be a useful tool for doctors during resuscitation. However, it is not yet a standard practice and more research is needed to confirm how best to use it to help guide care and predict outcomes for cardiac arrest patients.

What this means for you:
Monitoring brain oxygen shows promise for predicting recovery after cardiac arrest, but more research is needed before it becomes standard care.

Study Details

Study typeMeta analysis
Sample sizen = 3,880
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
BACKGROUND: Outcome prediction during and after cardiopulmonary resuscitation (CPR) poses major challenges for prehospital and in-hospital emergency services. Regional cerebral oxygen saturation (rSO) measured by near-infrared spectroscopy (NIRS), an emerging technology in emergency medicine, could contribute to prediction approaches. This systematic review evaluated associations between NIRS values during both cardiac arrest (CA) and postresuscitation care and clinical outcomes in nontraumatic adult CA patients. METHODS: We searched Embase, MEDLINE(R), Cochrane Central Register of Controlled Trials, and Web of Science. Data on study design, population characteristics, and different cerebral oximetry levels in each outcome group were extracted. Risk of bias was assessed using the Quality In Prognosis Studies tool, and a meta-analysis was conducted in groups with at least three studies reporting for the same outcome. RESULTS: The search strategy identified 2055 records, and 48 studies with rSO measurements in 3880 patients during or after a cardiopulmonary resuscitation were included for data extraction. In total, we performed 10 different meta-analyses, with four evaluating rSO values during CA and six assessing rSO during postresuscitation care. Overall, delta rSO values during CA had the highest predictive power of return of spontaneous circulation (ROSC) (standardised mean difference = 1.61, 95% confidence interval = 0.57-2.66; p = 0.002). After ROSC, higher rSO values are associated with favourable neurological outcome (standardised mean difference = 0.38, 95% confidence interval = 0.12-0.65; p = 0.004). CONCLUSION: Higher rSO values during CA are consistently associated with increased rates of ROSC, with delta rSO values having the highest predictive power. However, from a practical point of view, retrospectively calculating delta values poses a significant limitation which could be overcome by rather using real-time trends. Also, the implementation of NIRS in postresuscitation care could be an additional component of early multimodal prognostication after CA as we showed that higher initial rSO values after ROSC are associated with a favourable neurological outcome.
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