BACKGROUND: The laryngeal mask airway (LMAⓇ) Protector™ (Teleflex Medical Co., Ireland) is the latest innovation in the second generation of LMA devices. One distinguishing feature of this device is its integrated, color-coded cuff pressure indicator (Cuff ™ technology) which enables continuous cuff pressure monitoring and allows adjustments when necessary; this ensures patient safety due to better monitoring.CASE: We report a case of postoperative unilateral hypoglossal nerve palsy after uncomplicated use of the LMA Protector. To the best of our knowledge, this could be the second reported case.CONCLUSIONS: This case demonstrates that anesthetists need to routinely measure cuff pressure and that the Cuff Pilot™ technology is not a panacea for potential cranial nerve injury after airway manipulation.
Cranial Nerve Injuries ; Hypoglossal Nerve Diseases ; Hypoglossal Nerve ; Laryngeal Masks ; Patient Safety

BACKGROUND: The laryngeal mask airway (LMAⓇ) Protector™ (Teleflex Medical Co., Ireland) is the latest innovation in the second generation of LMA devices. One distinguishing feature of this device is its integrated, color-coded cuff pressure indicator (Cuff ™ technology) which enables continuous cuff pressure monitoring and allows adjustments when necessary; this ensures patient safety due to better monitoring.CASE: We report a case of postoperative unilateral hypoglossal nerve palsy after uncomplicated use of the LMA Protector. To the best of our knowledge, this could be the second reported case. CONCLUSIONS This case demonstrates that anesthetists need to routinely measure cuff pressure and that the Cuff Pilot™ technology is not a panacea for potential cranial nerve injury after airway manipulation.

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Around June 2020, many institutions restarted full operating schedules to clear the backlog of postponed surgeries because of the first wave in the COVID-19 pandemic. In an online survey distributed among anaesthestists in Asian countries at that time, most of them described their safety concerns and recommendations related to the supply of personal protective equipment and its usage. The second concern was related to pre-operative screening for all elective surgical cases and its related issues. The new norm in practice was found to be non-standardized and involved untested devices or workflow that have since been phased out with growing evidence. Subsequent months after reinstating full elective surgeries tested the ability of many hospitals in handling the workload of non-COVID surgical cases together with rising COVID-19 positive cases in the second and third waves when stay-at-home orders eased.