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Meta-Analysis
. 2023 Mar 6;23(1):123.
doi: 10.1186/s12877-023-03804-6.

Effects of regional cerebral oxygen saturation monitoring on postoperative cognitive dysfunction in older patients: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Effects of regional cerebral oxygen saturation monitoring on postoperative cognitive dysfunction in older patients: a systematic review and meta-analysis

Xiahao Ding et al. BMC Geriatr. .

Abstract

Background: Postoperative cognitive dysfunction (POCD) is common after surgery and anesthesia, particularly in older patients. It has been reported that regional cerebral oxygen saturation (rSO2) monitoring potentially influences the occurrence of POCD. However, its role in the prevention of POCD remains controversial in older patients. Additionally, the quality of evidence on this topic is still relatively poor.

Methods: The electronic databases PubMed, EMBASE, Web of Science, and Cochrane Library were systematically searched using the indicated keywords from their inception to June 10, 2022. We limited our meta-analysis to randomized controlled trials (RCTs) that assessed the effects of rSO2 monitoring on POCD in older patients. Methodological quality and risk of bias were assessed. The primary outcome was the incidence of POCD during hospitalization. The secondary outcomes were postoperative complications and the length of hospital stay (LOS). Odds ratios (OR) and 95% confidence intervals (CI) were calculated to determine the incidence of POCD and postoperative complications. The standardized mean difference (SMD) instead of the raw mean difference and 95% CI were calculated for LOS.

Results: Six RCTs, involving 377 older patients, were included in this meta-analysis. The incidence of POCD ranges from 17 to 89%, with an overall prevalence of 47% in our pooled analysis. Our results demonstrated that rSO2-guided intervention could reduce the incidence of POCD in older patients undergoing non-cardiac surgery (OR, 0.44; 95% CI, 0.25 to 0.79; P = 0.006) rather than cardiac surgery (OR, 0.69; 95% CI, 0.32 to 1.52; P = 0.36). Intraoperative rSO2 monitoring was also associated with a significantly shorter LOS in older patients undergoing non-cardiac surgery (SMD, -0.93; 95% CI, -1.75 to -0.11; P = 0.03). Neither the incidence of postoperative cardiovascular (OR, 1.12; 95% CI, 0.40 to 3.17; P = 0.83) nor surgical (OR, 0.78; 95% CI, 0.35 to 1.75; P = 0.54) complications were affected by the use of rSO2 monitoring.

Conclusion: The use of rSO2 monitoring is associated with a lower risk of POCD and a shorter LOS in older patients undergoing non-cardiac surgery. This may have the potential to prevent POCD in high-risk populations. Further large RCTs are still warranted to support these preliminary findings.

Keywords: Meta-analysis; Older patients; Postoperative cognitive dysfunction; Regional cerebral oxygen saturation.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
The flowchart for study screening and selection process
Fig. 2
Fig. 2
Assessment of risk of bias based on the version 2 of the Cochrane tool for assessing the risk of bias in randomized trials (RoB2). (a) Percent of studies with categories for risk of bias; (b) Summary for the risk of bias in each study
Fig. 3
Fig. 3
Forest plot illustrating the incidence of POCD between intervention group (rSO2-guided anesthesia) and control group (routine care)
Fig. 4
Fig. 4
Forest plot of the subgroup analysis illustrating the incidence of POCD based on different types of surgery
Fig. 5
Fig. 5
Forest plot illustrating the incidence of postoperative cardiovascular and surgical complications between intervention group (rSO2-guided anesthesia) and control group (routine care)
Fig. 6
Fig. 6
Forest plot illustrating the length of hospital stay between intervention group (rSO2-guided anesthesia) and control group (routine care)
Fig. 7
Fig. 7
Forest plot of the subgroup analysis illustrating the length of hospital stay based on different types of surgery
Fig. 8
Fig. 8
Heterogeneity and publication bias. (a) Funnel plot illustrating the publication bias and the systematic heterogeneity of the included studies; (b) L’Abbe plot illustrating the heterogeneity of the included studies; (c) Galbraith plot illustrating the contribution of individual studies to the heterogeneity metrics and identify outliers; (d) Baujat plot depicting the contribution of individual studies to overall heterogeneity

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