Description of the validity of the Analgesia Nociception Index (ANI) and Nociception Level Index (NOL) for nociception assessment in anesthetized patients undergoing surgery: a systematized review

Maintaining optimum analgesia in anesthetized patients is challenging due to the inability to self-report pain or exhibit pain-related behaviours. The Analgesia Nociception Index (ANI) (based on heart rate variability [HRV]) and the Nociception Level Index (NOL) (based on HRV, photoplethysmography, skin conductance, and temperature) both include HRV and provide continuous index monitoring for nociception assessment. The research question was: What are the validation strategies of the NOL and ANI for nociception assessment in anesthetized patients?. The objectives were to describe and analyze the validation strategies and results. A systematized review was conducted using a comprehensive search with keywords under three concepts (nociception/pain, ANI/NOL, and validity) in four databases. A quality assessment using an adapted GRADE approach for measurement tools, and a risk of bias assessment using QUADAS-2 tool were performed by two reviewers. Out of 525 results, 15 validation studies were included. Strategies included hypothesis testing, discriminative, and criterion validation. Significant changes in ANI/NOL values were found in response to nociceptive stimuli at different opioid concentrations (hypothesis testing). Higher ANI/NOL values were observed during nociceptive stimuli (discriminative). AUCs ranging from 0.83 to 0.99 were obtained to detect nociceptive stimuli (criterion). Both technologies performed superiorly in detecting nociceptive stimuli compared to individual monitoring of HR and blood pressure. Although the aforementioned validation strategies are deemed appropriate, in the absence of a gold standard, criterion validation findings should be interpreted with caution. Moreover, reliability could be examined using test-retest with consistent ANI/NOL values during a stable time-interval.

Automated summary

This study examined the validation strategies and results of using ANI and NOL for nociception assessment in anesthetized patients, confirming the effectiveness of both technologies in detecting nociceptive stimuli.