Subscribe to RSS

DOI: 10.1055/s-0045-1811591
The Impact of General Anesthesia on Postoperative Cognitive Dysfunction Using Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment–Indonesian Version (MOCA-Ina) in Geriatric Patients
Abstract
Introduction
Postoperative cognitive dysfunction (POCD) is a serious issue in geriatric patients undergoing general anesthesia procedures. Perioperative cognitive function assessment is vital for selecting anesthesia techniques in elderly patients.
Methods
This pretest–posttest cohort study assessed the effect of general anesthesia on POCD in geriatric patients ≥60 years from three government hospitals in Medan. Cognitive function was measured using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Indonesian version (MoCA-Ina) tests 1 day before and 3 days after surgery.
Results
Thirty-six patients were included, with an average age of 65.42 ± 4.23 years. The majority were female (52.8%), with a high school education (50%), and worked as farmers/laborers (25%). The average surgery duration was 150 ± 39.93 minutes. A significant decrease in MMSE (26.83 ± 1.5 vs. 26.58 ± 1.44) and MoCA-Ina (27.28 ± 1.06 vs. 27.05 ± 1.01) scores was observed 3 days postoperatively (p < 0.05), with high correlation between the two tests (97.2%; p > 1.00).
Conclusion
General anesthesia significantly affects POCD in geriatric patients based on MMSE and MoCA-Ina scores.
Introduction
Postoperative cognitive dysfunction (POCD) is an underdiagnosed, common postoperative complication of surgery under general anesthesia (GA) in older patients.[1] POCD is a decrease in postoperative memory, attention, executive function, and processing speed that develop early in the postoperative period or persists for weeks to months. The population is aging globally, particularly in the developing world, and surgical operations in this population continue to rise.[2] [3] Studies show that older patients are more prone to POCD due to the changes in neurophysiology with aging and increased sensitivity to anesthetic drugs.[4]
Prevalence of POCD has been described to be variable with the timing of evaluation and the cognitive tests used. It has been described as early as within the first week after surgery and for months. The International Study of Postoperative Cognitive Dysfunction (ISPOCD) reported an incidence of 25.8% at 1 week and 10% at 3 months after surgery in patients older than 60 years.[5] Other studies have followed POCD up to 1 year. However, in clinical settings, short hospital stays limit long-term follow-up, and early identification of POCD remains crucial to guide postoperative care. Therefore, this study focused on cognitive changes detectable within 3 days postoperatively, a time frame that reflects routine hospital discharge planning and allows early detection of functional impairment.
Previous studies have indicated a significant association between GA and early postoperative cognitive decline, particularly in geriatric patients.[6] [7] [8] [9] Several anesthetic agents and techniques have been implicated in neuroinflammation, impaired cerebral perfusion, and altered neurotransmission, all of which contribute to the pathophysiology of POCD.[6] [7] [8] Neurocognitive testing tools such as the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment–Indonesian version (MoCA-Ina) have been validated for POCD assessment. While MMSE is more specific for major cognitive decline, MoCA-Ina is more sensitive to detecting mild cognitive impairment.[10] [11] Several studies have used MMSE and MoCA individually and in combination to assess postoperative cognitive changes in the elderly.[9] [10] [11] However, no studies to date have evaluated both MMSE and MoCA-Ina together in a perioperative context for GA among the elderly population in Medan, Indonesia. This study aims to assess whether GA is associated with early POCD, using both cognitive assessment tools in a local clinical context.
Methods
This was a prospective pretest–posttest cohort study conducted in March 2025 at three government hospitals in Medan, Indonesia. The study was approved and registered by the Ethics Committee of Universitas Sumatera Utara (No. 104/KEPK/USU/2025).
Participants
Patients aged ≥60 years undergoing elective surgery under GA were enrolled. All participants provided written informed consent prior to participation.
Inclusion Criteria
-
Age ≥60 years.
-
ASA physical status I–III.
-
Undergoing elective noncardiac surgery under GA.
-
Able to communicate verbally and complete cognitive tests independently.
Exclusion Criteria
-
History of dementia or cognitive impairment.
-
History of psychiatric or neurological disorders.
-
Sensory impairments that could interfere with testing (e.g., severe vision/hearing loss).
-
Emergent surgery or ICU admission postoperatively.
-
Incomplete pre- or postoperative cognitive testing.
Patients were excluded if their preoperative MMSE or MoCA-Ina scores were below the standard cognitive thresholds (MMSE < 24, MoCA-Ina < 26), indicating baseline impairment.
Sample Size Calculation
Sample size was calculated using an effect size of 0.5 (moderate), power of 80%, and significance level of 0.05 for paired samples. The estimated minimum sample was 32 subjects. To compensate for potential dropouts, 36 patients were enrolled.
Cognitive Assessment
The MMSE and MoCA-Ina were used to evaluate cognitive function. Assessments were performed 1 day before surgery and on postoperative day 3 (POD3) by trained anesthesia residents under supervision. All assessors received prior training in the standardized administration of both tools.[10] [11]
Anesthesia Protocol
All patients received balanced GA using inhalational agents. Induction was performed with midazolam, fentanyl, propofol, and a neuromuscular blocker (e.g., rocuronium or atracurium). Anesthesia was maintained with sevoflurane in a 50% oxygen/air mixture, with additional analgesia using opioids (e.g., fentanyl). No total intravenous anesthesia or regional blocks were used. No intraoperative depth-of-anesthesia monitoring (e.g., Bispectral Index or processed electroencephalography [EEG]) was applied.
Frailty Assessment
Frailty scoring was not formally assessed, but ASA classification and baseline clinical data (age, comorbidities) were used as surrogate markers of physiological reserve.
Statistical Analysis
Data were analyzed using SPSS version 26 (IBM). Cognitive scores before and after surgery were compared using paired t-tests. Categorical variables were presented as frequencies and percentages, while continuous variables were expressed as means ± SD. A p <0.05 was considered statistically significant.
Results
A total of 36 geriatric patients were enrolled. The mean age was 65.42 ± 4.23 years, and 52.8% were female. Half of the participants had completed secondary education, and the most common occupations were farmers, laborers, or drivers (25%). The majority were ASA class III (58.3%) and underwent digestive surgery (44.4%), with a mean operative duration of 150 ± 39.93 minutes ([Table 1]).
Abbreviation: ASA, American Society of Anesthesiologists.
Education level: low = primary or less, medium = secondary school, high = college/university.
Cognitive Score Changes
There was a statistically significant decline in both MMSE and MoCA-Ina scores on postoperative day 3 compared with preoperative assessments:
-
MMSE: 26.83 ± 1.5 → 26.58 ± 1.44 (mean decline = 0.25 points; p = 0.008).
-
MoCA-Ina: 27.28 ± 1.06 → 27.05 ± 1.01 (mean decline = 0.23 points; p = 0.007).
Although both scores remained above standard cutoff values (MMSE ≥ 24; MoCA-Ina ≥ 26), a subset of patients exhibited clinically meaningful declines ([Table 2]).
Abbreviations: MMSE, Mini-Mental State Examination; MoCA-Ina, Montreal Cognitive Assessment Indonesian version; POCD, postoperative cognitive dysfunction; T0, 1 day before surgery; T1, 3 days after surgery.
POCD Incidence
-
Based on MMSE (<24): 2 patients (5.6%) developed POCD.
-
Based on MoCA-Ina (<26): 3 patients (8.3%) met the threshold for POCD.
One patient was classified as POCD-positive on both tests, while others differed ([Table 3]).
Abbreviations: MMSE, Mini-Mental State Examination; MoCA-Ina, Montreal Cognitive Assessment Indonesian version; POCD, postoperative cognitive dysfunction; T0, 1 day before surgery; T1, 3 days after surgery.
Note: Mild POCD was defined as MMSE < 24 or MoCA-Ina < 26.
Correlation between MMSE and MoCA-Ina
A strong correlation was observed between MMSE and MoCA-Ina scores on POD3 (Pearson's r = 0.82, p < 0.001). Cross-tabulation showed a concordance rate of 97.2% in detecting cognitive status changes ([Table 4]).
Abbreviations: MMSE, Mini-Mental State Examination; MoCA-Ina, Montreal Cognitive Assessment Indonesian version; POCD, postoperative cognitive dysfunction.
Note: p = 1.000 (McNemar test); agreement = 97.2%.
Subgroup Analysis
POCD cases (by either scale) were more common in patients aged >65 years and ASA III. There was no significant association between POCD incidence and gender, education level, or type of surgery. No formal frailty score was assessed.
Discussion
This study evaluated the incidence of POCD in elderly patients undergoing surgery under GA, using both the MMSE and the MoCA-Ina. We observed a statistically significant decline in both cognitive scores on POD3, with POCD incidence rates of 5.6% and 8.3% based on MMSE and MoCA-Ina, respectively.
Although the mean postoperative scores remained above the clinical thresholds (MMSE ≥ 24, MoCA-Ina ≥ 26), a small number of participants met the criteria for POCD, indicating that early cognitive changes can still occur in functionally independent elderly patients. Similar findings were reported in several studies that demonstrated POCD can manifest as early as 1 to 3 days after GA, particularly in older patients.[4] [12] Shi et al. observed a significant decline in MMSE scores within 3 days postoperatively,[4] while Naghibi et al. reported a higher incidence of POCD in GA compared with local anesthesia.[12]
MoCA-Ina detected more POCD cases than MMSE in our study. This is consistent with previous evidence showing that MoCA is more sensitive in detecting mild cognitive impairment, especially in executive function, abstraction, and visuospatial domains.[10] [11] Aytac et al. reported a POCD incidence of 32.9% using MoCA versus 15.2% using MMSE, suggesting MoCA's superior ability to capture subtle cognitive changes.[10] The correlation coefficient in our study (r = 0.82) closely mirrors those found by Jia et al. and others (r = 0.76–0.84), confirming the strong relationship between these two instruments.[11]
The pathophysiology of POCD is believed to involve a complex interplay of neuroinflammation, microglial activation, oxidative stress, and neurotransmitter disruption.[6] [7] Surgical trauma and exposure to anesthetic agents can contribute to blood–brain barrier dysfunction and increased cytokine release (e.g., IL-1β, TNF-α), which may impair neuronal signaling and cognitive processing.[6] [7] Animal studies have shown that inhalational agents such as isoflurane and sevoflurane may enhance β-amyloid aggregation and suppress BDNF signaling, leading to neurotoxicity.[7] [8] Recent studies have also indicated a role for the gut–brain axis and microbiota in modulating cognitive outcomes following surgery, further complicating POCD mechanisms.[13] However, these mechanisms were not directly assessed in our clinical study.
Our findings support the body of literature demonstrating that GA can induce short-term cognitive changes in older adults, even during moderately invasive surgeries of 2 to 3 hours of duration.[4] [7] [12] Most of our patients underwent gastrointestinal procedures, and the mean operative time was 150 minutes. Though not classified as high-risk, these procedures were still associated with measurable cognitive decline on POD3. The type and duration of surgery, as well as intraoperative anesthetic management, have been shown to significantly influence POCD incidence in other studies.[14] [15] Previous research suggests that certain anesthetic techniques, including the choice between inhalational and intravenous agents, may influence POCD risk.[14]
Additionally, the majority of our sample were ASA III, which may reflect a greater degree of systemic illness. Several studies have validated the ASA physical status classification as a useful predictor of postoperative risk, including cognitive outcomes.[15] [16] Although we did not observe a direct association in this small sample, this factor may merit further investigation. Preexisting cognitive impairment is another known risk factor for POCD, especially in elderly populations.[17] In our study, we excluded patients with baseline cognitive deficits; however, subtle, undiagnosed impairments may still exist and contribute to vulnerability. Furthermore, long-term observational studies in stroke survivors have demonstrated that even mild postoperative insults may accelerate cognitive decline over time, underscoring the need for extended follow-up in future studies.[18]
Importantly, we observed a high concordance rate (97.2%) between MMSE and MoCA-Ina, with MoCA detecting one additional POCD case. This reinforces the utility of MoCA-Ina as a sensitive tool for early perioperative cognitive screening. Its broader domain coverage and lower ceiling effect make it particularly suitable for identifying mild deficits in the elderly.[9] [10] [11] [19]
This study had several limitations. The sample size was relatively small (n = 36), which limits generalizability and statistical power. Second, cognitive testing was conducted only once after surgery, on POD3. As a result, we could not evaluate delayed or persistent POCD, which may emerge days or weeks later.[5] [20] Third, no intraoperative EEG, neuroimaging, or standardized delirium screening was used to distinguish POCD from other acute cognitive syndromes.[20] [21] Finally, while we documented anesthetic technique, we did not assess intraoperative variables such as hemodynamics, blood loss, or inflammatory markers, all of which may influence POCD risk.
Conclusion
This study demonstrated that elderly patients undergoing surgery under GA experienced a statistically significant decline in cognitive scores on postoperative day 3, as measured by MMSE and MoCA-Ina. While most scores remained within normal limits, 5.6% of patients showed POCD based on MMSE and 8.3% based on MoCA-Ina. MoCA-Ina detected more cases and showed a strong correlation with MMSE, suggesting it may be more sensitive for early cognitive screening. These findings support the importance of early postoperative cognitive assessment in elderly surgical patients. Further studies with larger samples and longer follow-up are needed to evaluate the persistence and long-term impact of POCD.
Conflict of Interest
None declared.
Acknowledgments
The authors would like to express their sincere gratitude to the Department/Study Program of Anesthesiology and Intensive Therapy, Faculty of Medicine, Universitas Sumatera Utara, and Adam Malik General Hospital, Medan, Indonesia, for providing the necessary facilities and institutional support.
-
References
- 1 Needham MJ, Webb CE, Bryden DC. Postoperative cognitive dysfunction and dementia: what we need to know and do. Br J Anaesth 2017; 119 (Suppl. 01) i115-i125
- 2 United Nations Economic and Social Commission for Asia and the Pacific (ESCAP). Asia-Pacific Report on Population Ageing 2022. Bangkok: UNESCAP; 2022
- 3 Badan Pusat Statistik (BPS). Statistik Penduduk Lanjut Usia 2023. Jakarta: BPS; 2023
- 4 Shi HJ, Xue XH, Wang YL, Zhang WS, Wang ZS, Yu AL. Effects of different anesthesia methods on cognitive dysfunction after hip replacement operation in elder patients. Int J Clin Exp Med 2015; 8 (03) 3883-3888
- 5 Evered L, Silbert B, Knopman DS. et al; Nomenclature Consensus Working Group. Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery—2018. Anesthesiology 2018; 129 (05) 872-879
- 6 Feng X, Valdearcos M, Uchida Y, Lutrin D, Maze M, Koliwad SK. Microglia mediate postoperative hippocampal inflammation and cognitive decline in mice. JCI Insight 2017; 2 (07) e91229
- 7 Qiao Y, Feng H, Zhao T. et al. Postoperative cognitive dysfunction after inhalational anesthesia: influence of anesthetic technique and systemic inflammation. BMC Anesthesiol 2015; 15: 154
- 8 Liu J, Huang K, Zhu B. et al. Neuropsychological tests in post-operative cognitive dysfunction: methods and applications. Front Psychol 2021; 12: 684307
- 9 Wiggins ME, Price C. Mini-Mental State Examination (MMSE). In: Encyclopedia of Gerontology and Population Aging. Springer; 2022: 3236-3239
- 10 Aytaç I, Güven AytaçB, Demirelli G. et al. Comparison of Postoperative Cognitive Decline Using the Mini-Mental State Examination and Montreal Cognitive Assessment After Minor Elective Surgery in Elderly. Cureus 2021; 13 (10) e18631
- 11 Jia X, Wang Z, Huang F. et al. A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study. BMC Psychiatry 2021; 21: 485
- 12 Naghibi K, Shafa A, Hirmanpour A, Sabaghi B. The impact of general anesthesia vs local anesthesia with IV sedation on postoperative cognitive dysfunction after cataract surgery. Majallah-i Danishkadah-i Pizishki-i Isfahan 2016; 34 (372) 134-142
- 13 Wen J, Ding Y, Wang L. et al. Gut microbiome improves cognitive function by stabilizing the blood-brain barrier. Brain Res Bull 2020; 164: 249-256
- 14 Tzimas P, Samara E, Petrou A. et al. Influence of anesthetic technique on POCD in elderly orthopedic patients. Injury 2018; 49 (12) 2221-2226
- 15 Liu J, Li J, Gao D. et al. High ASA physical status predicts postoperative delirium. Clin Interv Aging 2023; 18: 81-92
- 16 Zhang R, Kyriss T, Dippon J. et al. ASA classification facilitates risk stratification in elderly surgical patients. Eur J Cardiothorac Surg 2018; 53 (05) 973-979
- 17 Silbert B, Evered L, Scott DA. et al. Preexisting cognitive impairment is associated with POCD. Anesthesiology 2015; 122 (06) 1224-1234
- 18 Delavaran H, Jönsson AC, Lövkvist H. et al. Cognitive function in stroke survivors: a 10-year follow-up study. Acta Neurol Scand 2017; 136 (03) 187-194
- 19 Potts C, Richardson J, Bond RB. et al. Reliability of Addenbrooke's Cognitive Examination III in differentiating between dementia, mild cognitive impairment and older adults who have not reported cognitive problems. Eur J Ageing 2021; 19 (03) 495-507
- 20 Skvarc DR, Berk M, Byrne LK. et al. POCD: an exploration of the inflammatory hypothesis. Neurosci Biobehav Rev 2018; 84: 116-133
- 21 Cheon SY, Kim JM, Kam EH. et al. Inhibition of NF-κB in a mouse model of POCD. Sci Rep 2017; 7: 13482
Address for correspondence
Publication History
Article published online:
15 September 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India
-
References
- 1 Needham MJ, Webb CE, Bryden DC. Postoperative cognitive dysfunction and dementia: what we need to know and do. Br J Anaesth 2017; 119 (Suppl. 01) i115-i125
- 2 United Nations Economic and Social Commission for Asia and the Pacific (ESCAP). Asia-Pacific Report on Population Ageing 2022. Bangkok: UNESCAP; 2022
- 3 Badan Pusat Statistik (BPS). Statistik Penduduk Lanjut Usia 2023. Jakarta: BPS; 2023
- 4 Shi HJ, Xue XH, Wang YL, Zhang WS, Wang ZS, Yu AL. Effects of different anesthesia methods on cognitive dysfunction after hip replacement operation in elder patients. Int J Clin Exp Med 2015; 8 (03) 3883-3888
- 5 Evered L, Silbert B, Knopman DS. et al; Nomenclature Consensus Working Group. Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery—2018. Anesthesiology 2018; 129 (05) 872-879
- 6 Feng X, Valdearcos M, Uchida Y, Lutrin D, Maze M, Koliwad SK. Microglia mediate postoperative hippocampal inflammation and cognitive decline in mice. JCI Insight 2017; 2 (07) e91229
- 7 Qiao Y, Feng H, Zhao T. et al. Postoperative cognitive dysfunction after inhalational anesthesia: influence of anesthetic technique and systemic inflammation. BMC Anesthesiol 2015; 15: 154
- 8 Liu J, Huang K, Zhu B. et al. Neuropsychological tests in post-operative cognitive dysfunction: methods and applications. Front Psychol 2021; 12: 684307
- 9 Wiggins ME, Price C. Mini-Mental State Examination (MMSE). In: Encyclopedia of Gerontology and Population Aging. Springer; 2022: 3236-3239
- 10 Aytaç I, Güven AytaçB, Demirelli G. et al. Comparison of Postoperative Cognitive Decline Using the Mini-Mental State Examination and Montreal Cognitive Assessment After Minor Elective Surgery in Elderly. Cureus 2021; 13 (10) e18631
- 11 Jia X, Wang Z, Huang F. et al. A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study. BMC Psychiatry 2021; 21: 485
- 12 Naghibi K, Shafa A, Hirmanpour A, Sabaghi B. The impact of general anesthesia vs local anesthesia with IV sedation on postoperative cognitive dysfunction after cataract surgery. Majallah-i Danishkadah-i Pizishki-i Isfahan 2016; 34 (372) 134-142
- 13 Wen J, Ding Y, Wang L. et al. Gut microbiome improves cognitive function by stabilizing the blood-brain barrier. Brain Res Bull 2020; 164: 249-256
- 14 Tzimas P, Samara E, Petrou A. et al. Influence of anesthetic technique on POCD in elderly orthopedic patients. Injury 2018; 49 (12) 2221-2226
- 15 Liu J, Li J, Gao D. et al. High ASA physical status predicts postoperative delirium. Clin Interv Aging 2023; 18: 81-92
- 16 Zhang R, Kyriss T, Dippon J. et al. ASA classification facilitates risk stratification in elderly surgical patients. Eur J Cardiothorac Surg 2018; 53 (05) 973-979
- 17 Silbert B, Evered L, Scott DA. et al. Preexisting cognitive impairment is associated with POCD. Anesthesiology 2015; 122 (06) 1224-1234
- 18 Delavaran H, Jönsson AC, Lövkvist H. et al. Cognitive function in stroke survivors: a 10-year follow-up study. Acta Neurol Scand 2017; 136 (03) 187-194
- 19 Potts C, Richardson J, Bond RB. et al. Reliability of Addenbrooke's Cognitive Examination III in differentiating between dementia, mild cognitive impairment and older adults who have not reported cognitive problems. Eur J Ageing 2021; 19 (03) 495-507
- 20 Skvarc DR, Berk M, Byrne LK. et al. POCD: an exploration of the inflammatory hypothesis. Neurosci Biobehav Rev 2018; 84: 116-133
- 21 Cheon SY, Kim JM, Kam EH. et al. Inhibition of NF-κB in a mouse model of POCD. Sci Rep 2017; 7: 13482