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Ke Y, Chew S, Seet E, Wong WY, Lim V, Chua N, Zhang J, Lim B, Chua V, Loh NHW, Ti LK. Risk factors of post-anaesthesia care unit delirium in patients undergoing non-cardiac surgery in Singapore. Singapore Med J 2023; 64:728-731. [PMID: 34628800 PMCID: PMC10775295 DOI: 10.11622/smedj.2021129] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 02/27/2021] [Indexed: 11/18/2022]
Abstract
Introduction Post-anaesthesia care unit (PACU) delirium affects 5%-45% of patients after surgery and is associated with postoperative delirium and increased mortality. Up to 40% of PACU delirium is preventable, but it remains under-recognised due to a lack of awareness of its diagnosis. The nursing delirium screening scale (Nu-DESC) has been validated for diagnosing PACU delirium, but is not routinely used locally. This study aimed to use Nu-DESC to establish the incidence and risk factors of PACU delirium in patients undergoing non-cardiac surgery in the surgical population. Methods We conducted an audit of eligible patients undergoing major surgery in three public hospitals in Singapore over 1 week. Patients were assessed for delirium 30-60 min following their arrival in PACU using Nu-DESC, with a total score of ≥2 indicative of delirium. Results A total of 478 patients were assessed. The overall incidence rate of PACU delirium was 18/478 (3.8%), and the incidence was 9/146 (6.2%) in patients aged > 65 years. Post-anaesthesia care unit delirium was more common in females, patients with malignancy and those who underwent longer operations. Logistic regression analysis showed that the use of bispectral index (P < 0.001) and the presence of malignancy (P < 0.001) were significantly associated with a higher incidence of PACU delirium. Conclusion In this first local study, the incidence of PACU delirium was 3.8%, increasing to 6.2% in those aged > 65 years. Understanding these risk factors will form the basis for which protocols can be established to optimise resource management and prevent long-term morbidities and mortality in PACU delirium.
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Affiliation(s)
- Yuhe Ke
- Division of Anaesthesiology and Perioperative Medicine, Singapore General Hospital, Singapore
| | - Sophia Chew
- Division of Anaesthesiology and Perioperative Medicine, Singapore General Hospital, Singapore
| | - Edwin Seet
- Department of Anaesthesia, Khoo Teck Puat Hospital, Singapore
| | - Wan Yi Wong
- Department of Anaesthesia, Tan Tock Seng Hospital, Singapore
| | - Vera Lim
- Department of Anaesthesia, Tan Tock Seng Hospital, Singapore
| | - Nelson Chua
- Department of Anaesthesia, Tan Tock Seng Hospital, Singapore
| | - Jinbin Zhang
- Department of Anaesthesia, Tan Tock Seng Hospital, Singapore
| | - Beatrice Lim
- Department of Anaesthesia, Tan Tock Seng Hospital, Singapore
| | - Vanessa Chua
- Department of Anaesthesia, National University Health System, Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Health System, Singapore
| | - Lian Kah Ti
- Department of Anaesthesia, National University Health System, Singapore
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2
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Tan J, Loh NHW, Chan HM, Teo K, Lim MJR. Cognition, Emotional States and Health-Related Quality of Life in Awake Craniotomy for Glioma: A Case Series. World Neurosurg 2023; 179:e428-e443. [PMID: 37660841 DOI: 10.1016/j.wneu.2023.08.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Awake craniotomy is an effective procedure for optimizing the onco-functional balance of resections in glioma. However, limited data exists on the cognition, emotional states, and health-related quality of life (HRQoL) of patients with glioma who undergo awake craniotomy. This study aims to describe 1) perioperative cognitive function and emotional states in a multilingual Asian population, 2) associations between perioperative cognitive function and follow-up HRQoL, and 3) associations between preoperative emotional states and follow-up HRQoL. METHODS This is a case series of 14 adult glioma patients who underwent awake craniotomy in Singapore. Cognition was assessed with the Montreal Cognitive Assessment and the Repeatable Battery for the Assessment of Neuropsychological Status, emotional states with the Depression, Anxiety and Stress Scale-21 Items, and HRQoL using the EuroQol-5D-5L, the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30, and the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-BN20. RESULTS Patients with better preoperative cognitive scores on all domains reported better HRQoL. Better postoperative immediate memory and language scores were associated with better HRQoL. Moderate preoperative depression scores and mild and moderate preoperative stress scores were associated with poorer HRQoL compared to scores within the normal range. Mild preoperative anxiety scores were associated with better HRQoL compared to scores within the normal range. CONCLUSION This descriptive case series showed that patients with higher preoperative cognitive scores reported better follow-up HRQoL, while patients who reported more preoperative depressive and stress symptomatology reported worse follow-up HRQoL. Future analytical studies may help to draw conclusions about whether perioperative cognition and emotional states predict HRQoL on follow-up.
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Affiliation(s)
- Jaclyn Tan
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Pasir Panjang, Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital, Pasir Panjang, Singapore
| | - Hui Minn Chan
- Department of Psychological Medicine, National University Health System, Pasir Panjang, Singapore
| | - Kejia Teo
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Pasir Panjang, Singapore
| | - Mervyn Jun Rui Lim
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Pasir Panjang, Singapore.
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3
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Tan CL, Jain S, Chan HM, Loh NHW, Teo K. Awake craniotomy for brain tumor resection: Patient experience and acceptance in an Asian population. Asia Pac J Clin Oncol 2023; 19:172-178. [PMID: 35678489 DOI: 10.1111/ajco.13785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 01/20/2023]
Abstract
INTRODUCTION Awake craniotomy is well-established for resection of brain tumor in the eloquent areas. Previous studies from Western countries have reported good level of patient tolerance and acceptance. However, its acceptability in non-Western populations, with different ethnic, social, cultural, religious, and linguistic backgrounds, has not been studied systematically. This study aims to evaluate the experience of patients from an Asian population who underwent awake craniotomy for tumor resection. METHODS Data on patient experience were collected by interviewing patients using a structured questionnaire at follow-up appointment. Data on patient demographics and diagnosis were collected from medical records. RESULTS Eighteen patients (age 16-68 years) who underwent 20 awake craniotomies were recruited. Preoperatively, all (100%) patients understood the indication for awake craniotomy. Almost all felt fully counseled by the neurosurgeon (90%), anesthetist (100%), and neuropsychologist (95%). Ninety-five percent reported their family to be supportive of awake craniotomy. Seventy-five percent felt adequately prepared on operation day. Intraoperatively, most patients did not experience pain/discomfort (55%) or anxiety (65%). Nearly all found intraoperative motor and language testing to be easy (100% and 90%, respectively). Postoperatively, 100% were satisfied with their care. One hundred percent rated their overall experience as good or excellent. Eighty percent were willing to undergo awake craniotomy again if indicated. CONCLUSION Awake craniotomy is well-accepted in an Asian population. All patients had good-to-excellent overall experience, with most willing to undergo awake craniotomy again. Our findings underscore the generalizability of awake craniotomy across different socio-cultural backgrounds and support its utilization in countries with a significant Asian population.
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Affiliation(s)
- Chin Lik Tan
- Division of Neurosurgery, National University Hospital, Singapore, Singapore
| | - Swati Jain
- Division of Neurosurgery, National University Hospital, Singapore, Singapore
| | - Hui-Minn Chan
- Department of Psychological Medicine, National University Hospital, Singapore, Singapore
| | - Ne-Hooi Will Loh
- Department of Anesthesia, National University Hospital, Singapore, Singapore
| | - Kejia Teo
- Division of Neurosurgery, National University Hospital, Singapore, Singapore
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4
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Teo CB, Gan MY, Tay RYK, Loh WJ, Loh NHW. Association of preoperative hyponatremia with surgical outcomes: a systematic review and meta-analysis of 32 observational studies. J Clin Endocrinol Metab 2022; 108:1254-1271. [PMID: 36472931 PMCID: PMC10099166 DOI: 10.1210/clinem/dgac685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/08/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Preoperative hyponatremia is prevalent in patients undergoing surgical procedures, but it is uncertain if hyponatremia will lead to increased risk of surgical mortality and morbidity. METHODS A systematic search of Medline (PubMed), Embase and Cochrane Library from inception till 2 July 2021 was performed. Full length articles that reported on the association between surgical outcomes among adults ≥18 years with documented preoperative hyponatremia were included. FINDINGS We identified 32 observational studies comprising 1,301,346 participants. All studies had low risk of bias. When adjusted for covariates, patients with hyponatremia had significantly higher odds of developing major complications (defined as a composite measure of 9 major complications) compared to patients with normal sodium concentrations (aOR = 1.37, 95%CI = 1.23-1.53, I2 = 78%. N = 10). Additionally, patients with preoperative hyponatremia also significantly higher hazards of early mortality (<90 days) compared to patients with normonatremia (aHR = 1.27, 95%CI = 1.13-1.43, I2 = 97%. N = 10) after adjustment for covariates. Preoperative hyponatremia also had significant associations with respiratory, renal and septic complications. In terms of prognostic performance, preoperative hyponatremia performed adequately in predicting major complications in surgical patients (AUC = 0.70, LR- 0.90) with a specificity of 88% and a sensitivity of 25%. INTERPRETATION Our meta-analysis suggests that preoperative hyponatremia is associated with poorer early mortality and major morbidity outcomes in surgical patients. Hyponatremia is also a specific prognosticator for major complications in surgical patients, reiterating its potential use as a clinical indicator of poor outcomes.
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Affiliation(s)
- Chong Boon Teo
- Ministry of Health Holdings, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Ryan Yong Kiat Tay
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wann Jia Loh
- Department of Endocrinology, Changi General Hospital, Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital, Singapore
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5
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Xu FWX, Lim NA, Sim MA, Lean LL, Loh NHW, Ng KT, Chua VTY, Chew STH, Ti LK. Point-of-care platelet function testing for guided transfusion in neurosurgical management of intracranial hemorrhage: a systematic review. Eur J Med Res 2022; 27:191. [PMID: 36182926 PMCID: PMC9526957 DOI: 10.1186/s40001-022-00819-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/06/2022] [Indexed: 11/14/2022] Open
Abstract
Given the rising prevalence of antiplatelet therapy, rapid preoperative identification of patients with bleeding diathesis is necessary for the guidance of blood product administration. This is especially relevant in neurosurgery for intracranial hemorrhage (ICH), where indiscriminate transfusions may lead to further hemorrhagic or thromboembolic injury. Point-of-care (POC) testing of platelet function is a promising solution to this dilemma, as it has been proven effective in cardiac surgery. However, to date, POC platelet function testing in neurosurgery has not been extensively evaluated. This systematic review appraises the use of POC platelet function test (PFT) in emergency neurosurgery in terms of its impact on patient outcomes. A comprehensive search was conducted on four electronic databases (Pubmed, MEDLINE, Embase, and Cochrane) for relevant English language articles from their respective inceptions until 1 June 2022. We included all randomized controlled trials and cohort studies that met the following inclusion criteria: (i) involved adult patients undergoing neurosurgery for ICH; (ii) evaluated platelet function via POC PFT; (iii) reported a change in perioperative blood loss; and/or (iv) reported data on treatment-related adverse events and mortality. Assessment of study quality was conducted using the Newcastle Ottawa Quality Assessment Scale for Cohort Studies and Case–Control Studies, and the JBI Critical Appraisal Checklist for Case Series. The search yielded 2,835 studies, of which seven observational studies comprising 849 patients met the inclusion criteria for this review. Overall, there is evidence that the use of POC PFT to assess bleeding risk reduced bleeding events, thromboembolic adverse outcomes, and the length of hospitalization. However, there is currently insufficient evidence to suggest that using POC PFT improves blood product use, functional outcomes or mortality.
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Affiliation(s)
- Flora Wen Xin Xu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicole-Ann Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ming Ann Sim
- Department of Anesthesia, Singapore General Hospital, Singapore, Singapore
| | - Lyn Li Lean
- Department of Anesthesia, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Ne-Hooi Will Loh
- Department of Anesthesia, National University Hospital, Singapore, Singapore
| | - Ka Ting Ng
- Department of Anesthesiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Vanessa Tze Yuh Chua
- Department of Anesthesia, Singapore General Hospital, Singapore, Singapore.,Department of Anesthesia, National University Hospital, Singapore, Singapore
| | | | - Lian Kah Ti
- Department of Anesthesia, National University Hospital, Singapore, Singapore. .,Department of Anesthesia, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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6
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Lim MJR, Quek RHC, Ng KJ, Loh NHW, Lwin S, Teo K, Nga VDW, Yeo TT, Motani M. Machine Learning Models Prognosticate Functional Outcomes Better than Clinical Scores in Spontaneous Intracerebral Haemorrhage. J Stroke Cerebrovasc Dis 2021; 31:106234. [PMID: 34896819 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/11/2021] [Accepted: 11/17/2021] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE This study aims to develop and compare the use of deep neural networks (DNN) and support vector machines (SVM) to clinical prognostic scores for prognosticating 30-day mortality and 90-day poor functional outcome (PFO) in spontaneous intracerebral haemorrhage (SICH). MATERIALS AND METHODS We conducted a retrospective cohort study of 297 SICH patients between December 2014 and May 2016. Clinical data was collected from electronic medical records using standardized data collection forms. The machine learning workflow included imputation of missing data, dimensionality reduction, imbalanced-class correction, and evaluation using cross-validation and comparison of accuracy against clinical prognostic scores. RESULTS 32 (11%) patients had 30-day mortality while 177 (63%) patients had 90-day PFO. For prognosticating 30-day mortality, the class-balanced accuracies for DNN (0.875; 95% CI 0.800-0.950; McNemar's p-value 1.000) and SVM (0.848; 95% CI 0.767-0.930; McNemar's p-value 0.791) were comparable to that of the original ICH score (0.833; 95% CI 0.748-0.918). The c-statistics for DNN (0.895; DeLong's p-value 0.715), and SVM (0.900; DeLong's p-value 0.619), though greater than that of the original ICH score (0.862), were not significantly different. For prognosticating 90-day PFO, the class-balanced accuracies for DNN (0.853; 95% CI 0.772-0.934; McNemar's p-value 0.003) and SVM (0.860; 95% CI 0.781-0.939; McNemar's p-value 0.004) were better than that of the ICH-Grading Scale (0.706; 95% CI 0.600-0.812). The c-statistic for SVM (0.883; DeLong's p-value 0.022) was significantly greater than that of the ICH-Grading Scale (0.778), while the c-statistic for DNN was 0.864 (DeLong's p-value 0.055). CONCLUSION We showed that the SVM model performs significantly better than clinical prognostic scores in predicting 90-day PFO in SICH.
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Affiliation(s)
- Mervyn Jun Rui Lim
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore.
| | | | - Kai Jie Ng
- Yong Loo Lin School of Medicine, National University of Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital, Singapore
| | - Sein Lwin
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Kejia Teo
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Vincent Diong Weng Nga
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Tseng Tsai Yeo
- Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore
| | - Mehul Motani
- Department of Electrical and Computer Engineering, National University of Singapore; N.1 Institute for Health, National University of Singapore; Institute for Data Science, National University of Singapore
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Klann JG, Estiri H, Weber GM, Moal B, Avillach P, Hong C, Tan ALM, Beaulieu-Jones BK, Castro V, Maulhardt T, Geva A, Malovini A, South AM, Visweswaran S, Morris M, Samayamuthu MJ, Omenn GS, Ngiam KY, Mandl KD, Boeker M, Olson KL, Mowery DL, Follett RW, Hanauer DA, Bellazzi R, Moore JH, Loh NHW, Bell DS, Wagholikar KB, Chiovato L, Tibollo V, Rieg S, Li ALLJ, Jouhet V, Schriver E, Xia Z, Hutch M, Luo Y, Kohane IS, Brat GA, Murphy SN. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc 2021; 28:1411-1420. [PMID: 33566082 PMCID: PMC7928835 DOI: 10.1093/jamia/ocab018] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/14/2021] [Accepted: 01/29/2021] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) is an international collaboration addressing coronavirus disease 2019 (COVID-19) with federated analyses of electronic health record (EHR) data. We sought to develop and validate a computable phenotype for COVID-19 severity. MATERIALS AND METHODS Twelve 4CE sites participated. First, we developed an EHR-based severity phenotype consisting of 6 code classes, and we validated it on patient hospitalization data from the 12 4CE clinical sites against the outcomes of intensive care unit (ICU) admission and/or death. We also piloted an alternative machine learning approach and compared selected predictors of severity with the 4CE phenotype at 1 site. RESULTS The full 4CE severity phenotype had pooled sensitivity of 0.73 and specificity 0.83 for the combined outcome of ICU admission and/or death. The sensitivity of individual code categories for acuity had high variability-up to 0.65 across sites. At one pilot site, the expert-derived phenotype had mean area under the curve of 0.903 (95% confidence interval, 0.886-0.921), compared with an area under the curve of 0.956 (95% confidence interval, 0.952-0.959) for the machine learning approach. Billing codes were poor proxies of ICU admission, with as low as 49% precision and recall compared with chart review. DISCUSSION We developed a severity phenotype using 6 code classes that proved resilient to coding variability across international institutions. In contrast, machine learning approaches may overfit hospital-specific orders. Manual chart review revealed discrepancies even in the gold-standard outcomes, possibly owing to heterogeneous pandemic conditions. CONCLUSIONS We developed an EHR-based severity phenotype for COVID-19 in hospitalized patients and validated it at 12 international sites.
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Affiliation(s)
- Jeffrey G Klann
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Hossein Estiri
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Griffin M Weber
- Department of Biomedical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Bertrand Moal
- IAM Unit, Public Health Department , Bordeaux University Hospital, Bordeaux, France
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Amelia L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Brett K Beaulieu-Jones
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Victor Castro
- Research Information Science and Computing, Mass General Brigham, Boston, Massachusetts, USA
| | - Thomas Maulhardt
- Institute of Medical Biometry and Statistics, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alon Geva
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Andrew M South
- Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Malarkodi J Samayamuthu
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Kee Yuan Ngiam
- Department of Biomedical Informatics-WisDM, National University Health System, Singapore
| | - Kenneth D Mandl
- Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Martin Boeker
- Institute of Medical Biometry and Statistics, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Karen L Olson
- Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Robert W Follett
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Riccardo Bellazzi
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.,Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy
| | - Jason H Moore
- Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ne-Hooi Will Loh
- Division of Critical Care, National University Health System, Singapore
| | - Douglas S Bell
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | | | - Luca Chiovato
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.,Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Siegbert Rieg
- Division of Infectious Diseases, Department of Medicine II, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anthony L L J Li
- National Center for Infectious Diseases, Tan Tock Seng Hospital, Singapore
| | - Vianney Jouhet
- ERIAS-INSERM U1219 BPH, Bordeaux University Hospital, Bordeaux, France
| | - Emily Schriver
- Data Analytics Center, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Meghan Hutch
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Research Information Science and Computing , Mass General Brigham, Boston, Massachusetts, USA
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Lean LL, Chin BZB, Koh LY, Loh NHW, Loh MH. The hospital difficult airway team: experience and implications for patient care. Ir J Med Sci 2021; 190:1561-1563. [PMID: 33481159 DOI: 10.1007/s11845-020-02471-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/06/2020] [Indexed: 11/28/2022]
Abstract
The difficult airway involves the complex interaction between patient factors, the clinical setting and the practitioner's skills (Apfelbaum in Anesthesiology 118(2):251-70, 2013 and Mark et al. in Anesth Analg 121(1):127-139, 2015). It can also be a result of preparedness and system failures. Our institution developed a protocol to enhance emergency airway management in settings outside of the operating theatre-the difficult airway (DA) team. The aims of this report are to perform a retrospective review to describe the patient profiles as well as our difficult airway code workflow, and to identify preliminary patterns within DAC activations over an 18-month period (September 2013 to November 2015) in a tertiary university hospital. We believe that these findings may aid institutions in establishing a difficult airway protocol or refining existing airway code workflows. Institutional board approval was granted for medical record review.
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Affiliation(s)
- Lyn Li Lean
- Department of Anaesthesia, Ng Teng Fong General Hospital, Singapore, Singapore
| | | | - Li Ying Koh
- Department of Anaesthesia, Singapore General Hospital, Singapore, Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital, Singapore, Singapore.
| | - May-Han Loh
- Department of Anaesthesia, National University Hospital, Singapore, Singapore
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9
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Khoo D, Yen CC, Chow WT, Jain P, Loh NHW, Teo WW, Koh C. Ultra-portable low-cost improvised powered air-purifying respirator: feasibility study. Br J Anaesth 2020; 125:e264-e266. [PMID: 32446500 PMCID: PMC7203042 DOI: 10.1016/j.bja.2020.04.082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 04/26/2020] [Accepted: 04/26/2020] [Indexed: 11/29/2022] Open
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10
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Tan Y, Loganathan N, Thinn KK, Liu EHC, Loh NHW. Dental injury in anaesthesia: a tertiary hospital's experience. BMC Anesthesiol 2018; 18:108. [PMID: 30111288 PMCID: PMC6094905 DOI: 10.1186/s12871-018-0569-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 07/31/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dental injury is a common perioperative complication, but there are no country specific data available, especially with the use of supraglottic airway devices (SAD). The aims of our study are to report the incidence, risk factors, and local practices in the management of perioperative dental injuries in Singapore. METHODS We analyzed data from the departmental database from 2011 to 2014, noting the anticipated difficulty of airway instrumentation, intubation grade, pre-existing dental risk factors, location of dental trauma discovery, position of teeth injured and presence of dental referral. The risk factors for dental trauma were then identified using logistic regression (between 51 dental trauma patients and 55,107 patients without dental trauma). RESULTS The rate of dental injury was 0.092% for general anaesthesia cases. The most significant patient risk factor is the presence of pre-existing dental risk factors (OR 12.55). Anaesthetic risk factors include McGrath MAC usage (OR 2.51) and a Cormack and Lehane grade of 3 or more (OR 7.25). Most of the dental injuries were discovered in the operating theatre. 7 (13.7%) patients had SAD inserted and only 23 (45.1%) cases were referred to dental services. CONCLUSION Videolaryngoscopy with the McGrath MAC is associated with an increased likelihood of dental injury. This could be either because videolarygoscopes were used when increased risk of dental trauma was anticipated, or due to incorrect technique of laryngoscopy. Future studies should be done to establish the causality. The management of dental injuries could be improved with development of departmental guidelines.
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Affiliation(s)
- Yanni Tan
- Department of Anaesthesia, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
| | - Nivan Loganathan
- Department of Anaesthesia, Ng Teng Fong General Hospital, 1 Jurong East Street 21, Singapore, 609606, Singapore
| | - Kyu Kyu Thinn
- Department of Anaesthesia, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore
| | - Eugene Hern Choon Liu
- Department of Anaesthesia, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore
| | - Ne-Hooi Will Loh
- Department of Anaesthesia, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore
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Loh NHW, Tan J. Intubation With Video Laryngoscopy vs Direct Laryngoscopy. JAMA 2017; 317:2129-2130. [PMID: 28535224 DOI: 10.1001/jama.2017.4477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Liu EH, Tan Y, Loh NHW, Siau C. Potential rapid solutions to maintain ventilation in the event of anaesthesia machine failure with no access to the patient's airway. Anaesth Intensive Care 2016; 44:376-81. [PMID: 27246938 DOI: 10.1177/0310057x1604400311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Anaesthesia machine failure requires rapid solutions to maintain ventilation and anaesthesia. During procedures with poor access to the patient's airway, it may not be possible to use a self-inflating mechanical ventilation device (SIMVD) for emergency ventilation, and alternative solutions are needed. We evaluated five methods for rescue ventilation using a patient simulator. In Method 1, we used the inspiratory and expiratory tubes and the alternative common gas outlet (ACGO) on the anaesthesia machine to produce a Mapleson E system. In Method 2, we used the tubes, ACGO and an open-ended reservoir bag to produce a Mapleson F system, controlling the bag to achieve ventilation. In Method 3, we attached a SIMVD to the inspiratory tube, and controlled occlusion of the expiratory tube. In Method 4, we used the tubes and ACGO in a Mapleson F configuration, replacing the open-ended bag with a SIMVD to facilitate manual ventilation. In Method 5, we attached a SIMVD to the expiratory tube and left the inspiratory tube attached to its mounting. We were able to achieve ventilation, maintain inhalational anaesthesia, and prevent expired gas rebreathing in Methods 1 and 2. In Method 3 ventilation was achieved with minimal rebreathing of expiratory gas, but with no inhalational agent. Methods 4 and 5 led to rebreathing. Our findings indicate that Methods 1 or 2 are the preferred rapid solutions to maintain ventilation and inhalational anaesthesia in the event of anaesthesia machine failure where there is poor airway access.
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Affiliation(s)
- E H Liu
- Dept of Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Y Tan
- Dept of Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - N H W Loh
- Dept of Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - C Siau
- Dept of Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
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Loh NHW. Old drugs, new tricks . Use of intravenous lipids in clinical toxicology. BMJ 2011; 342:d1764. [PMID: 21430006 DOI: 10.1136/bmj.d1764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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