Korelasi Bisprectral Index (BIS) dan Quantium Consciousness Index (QCON) dengan Richmond Agitation Sedation Scale (RASS) dalam Menilai Kedalaman Sedasi pada Pasien Pascaoperasi dengan Teknik Anestesi Umum yang Tersedasi di Ruang Rawat Intensif
Correlation Between Bispectral Index (BIS) and Quantium Consciousness Index (QCON) With the Richmond Agitation–Sedation Scale (RSS) in Assessing Sedation Depth in Sedated Surgical Patients Underwent General Anesthesia in the Intensive Care Unit
Date
2025Author
Linkoln, Cindy
Advisor(s)
Lubis, Andriamuri Primaputra
Hamdi, Tasrif
Metadata
Show full item recordAbstract
Introduction: Adequate postoperative sedation plays a crucial role in preventing
agitation and improving the effectiveness of intensive care. The Richmond Agitation–
Sedation Scale (RASS) is routinely used to assess sedation in the ICU, yet Bispectral
Index (BIS) and Quantium Consciousness Index (qCON), as electroencephalogram
(EEG)-based tools, provide more objective quantitative measurements.
Methods: This cross-sectional study aimed to analyze the correlation between BIS and
qCON values with RASS scores in assessing sedation depth in postoperative patients
receiving general anesthesia at two government hospitals in Medan. Sedation depth was
assessed upon ICU admission (T1), during personal hygiene procedures (T2), during
airway suctioning (T3), and three hours after discontinuation of a midazolam 0.1 mg and
fentanyl 0.02 mcg sedation regimen (T4).
Results: A total of 38 patients were included. Most participants were male (63.2%) with a
mean age of 46.6 ± 11.52 years, overweight BMI, ASA III status in 63.2%, average
surgery duration of 172.37 ± 80.77 minutes, and 44.7% undergoing digestive surgery.
Hemodynamic parameters included HR 81.18 ± 12.94 beats/min, SBP 120.47 ± 16.13
mmHg, DBP 76.18 ± 8.77 mmHg, and SpO
98.55 ± 0.76%. Significantly strong positive
correlations were observed between BIS–RASS and qCON–RASS at T1, T2, and T3 (r ≥
0.7; p < 0.05). Strong and positive correlations between BIS-qCON were observed in all
evaluation time (r ≥ 0.7; p < 0.05).
Conclusion: EEG-based sedation monitoring can be used clinically as a reliable adjunct
to evaluate and adjust the depth of sedation in postoperative ICU patients.
