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Devinney MJ, Spector AR, Wright MC, Thomas J, Avasarala P, Moretti E, Dominguez JE, Smith PJ, Whitson HE, Veasey SC, Mathew JP, Berger M. The Role of Sleep Apnea in Postoperative Neurocognitive Disorders Among Older Noncardiac Surgery Patients: A Prospective Cohort Study. Anesth Analg 2025; 140:99-109. [PMID: 39688967 PMCID: PMC11652847 DOI: 10.1213/ane.0000000000007269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Abstract
BACKGROUND Obstructive sleep apnea is associated with increased dementia risk, yet its role in postoperative neurocognitive disorders is unclear. Here, we studied whether the severity of untreated obstructive sleep apnea is associated with the severity of postoperative neurocognitive disorder. METHODS In this single-center prospective cohort study, older noncardiac surgery patients aged 60 years and above underwent preoperative home sleep apnea testing, and pre- and postoperative delirium assessments and cognitive testing. Sleep apnea severity was determined using the measured respiratory event index (REI). Global cognitive change from before to 6 weeks (and 1 year) after surgery was used to measure postoperative neurocognitive disorder severity. Postoperative changes in individual cognitive domain performance along with subjective cognitive complaints and/or deficits in instrumental activities of daily living were used to measure postoperative neurocognitive disorder incidence. RESULTS Of 96 subjects who completed home sleep apnea testing, 58 tested positive for sleep apnea. In univariable analyses, sleep apnea severity was not associated with increased postoperative neurocognitive disorder severity at 6 weeks (global cognitive change ; [95% confidence interval [CI], -0.02 to 0.03]; P = .79) or 1-year after surgery (; [95% CI, -0.02 to 0.03]; P = .70). Adjusting for age, sex, baseline cognition, and surgery duration, sleep apnea severity remained not associated with increased postoperative neurocognitive disorder severity at 6 weeks (; [95% CI, -0.02 to 0.04]; P = .40) or 1-year after surgery (; [95% CI, -0.02 to 0.04]; P = .55). In a multivariable analysis, sleep apnea severity was not associated with postoperative neurocognitive disorder (either mild or major) incidence at 6 weeks (odds ratio [OR] = 0.89, [95% CI, 0.59-1.14]; P = .45) or 1-year postoperatively (OR = 1.01, [95% CI, 0.81-1.24]; P = .90). Sleep apnea severity was also not associated with postoperative delirium in univariable analyses (delirium incidence OR = 0.88, [95% CI, 0.59-1.10]; P = .37; delirium severity ; [95% CI, -0.02 to 0.03]; P = .79) or in multivariable analyses (delirium incidence OR = 1.07, [95% CI, 0.81-1.38]; P = .74; delirium severity OR = 0.95, [95% CI, 0.81-1.10]; P = .48). CONCLUSIONS In this older noncardiac surgery cohort, untreated sleep apnea was not associated with increased incidence or severity of postoperative neurocognitive disorder or delirium.
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Affiliation(s)
- Michael J Devinney
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
- Duke Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Andrew R Spector
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Mary C Wright
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Jake Thomas
- Duke University School of Medicine, Durham, NC, USA
| | - Pallavi Avasarala
- Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Eugene Moretti
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer E Dominguez
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Patrick J Smith
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Heather E Whitson
- Duke Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
- Division of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke/UNC Alzheimer’s Disease Researcher Center, Duke University and University of North Carolina at Chapel Hill
| | - Sigrid C Veasey
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph P Mathew
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Miles Berger
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
- Duke Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
- Duke/UNC Alzheimer’s Disease Researcher Center, Duke University and University of North Carolina at Chapel Hill
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Dai Y, Shi K, Liu Q, Shen C, Lu X, Qiu X, Sun J. Intraoperative Sleep Spindle Activity and Postoperative Sleep Disturbance in Elderly Patients Undergoing Orthopedic Surgery: A Prospective Cohort Study. Nat Sci Sleep 2024; 16:2083-2097. [PMID: 39712881 PMCID: PMC11662682 DOI: 10.2147/nss.s486625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Accepted: 11/26/2024] [Indexed: 12/24/2024] Open
Abstract
Purpose This study aimed to investigate the relationship between intraoperative sleep spindle activity and postoperative sleep disturbance (PSD) in elderly orthopedic surgery patients. Patients and Methods In this prospective observational cohort study, we collected intraoperative electroencephalography (EEG) data from 212 elderly patients undergoing orthopedic surgery from May 2023 to December 2023. We used the Athens Insomnia Scale to assess sleep quality on postoperative day (POD) 1 and POD 3 and analyzed the correlation between intraoperative sleep spindle activity and PSD through logistic regression. Results The incidence of PSD was 65.6% on POD 1 and 41.9% on POD 3. On the first day, there were no significant differences in intraoperative sleep spindle characteristics between PSD and non-postoperative sleep disturbance (non-PSD) patients. However, by the third day, PSD patients showed lower sigma power compared to non-PSD patients, as well as lower spindle density in the bilateral frontopolar (Fp1/Fp2) and bilateral temporal (F7/F8) channels, with shorter average spindle duration (P < 0.05). Multivariate logistic regression analysis suggested that the average spindle density in F7/F8 channels (OR 0.543, 95% CI 0.375-0.786; P = 0.001) was an independent risk factor for PSD on POD 3. Furthermore, Mini-Mental State Examination (MMSE) could independently predict PSD on POD 1 (OR 0.806, 95% CI 0.656-0.991; P = 0.041) and POD 3 (OR 0.701, 95% CI 0.562-0.875; P = 0.002). Pain on movement and at rest were independently associated with PSD on POD 1 (OR 1.480, 95% CI 1.200-1.824; P < 0.001) and POD 3 (OR 1.848, 95% CI 1.166-2.927; P = 0.009), respectively. Conclusion Intraoperative mean spindle density in the F7/F8 channels was an independent risk factor for PSD on POD 3 in elderly patients undergoing orthopedic surgery. MMSE and postoperative pain also independently increased the risk of PSD.
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Affiliation(s)
- Yuchen Dai
- Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
| | - Kaikai Shi
- Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
| | - Qingren Liu
- Department of Anesthesiology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, People’s Republic of China
| | - Changli Shen
- Department of Anesthesiology, Xinxiang Central Hospital, Xinxiang, Henan, People’s Republic of China
| | - Xinjian Lu
- Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaodong Qiu
- Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
| | - Jie Sun
- Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
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Xiao Y, Li PJ, Guo MY, Cao Y, Liang ZA. Effect of obstructive sleep apnea on postoperative delirium: a system review and meta-analysis. Sleep Breath 2024; 28:1867-1877. [PMID: 38861133 DOI: 10.1007/s11325-024-03073-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 05/24/2024] [Accepted: 06/03/2024] [Indexed: 06/12/2024]
Abstract
PURPOSE To investigate the impact of obstructive sleep apnea (OSA) on postoperative delirium (PD), and evaluate the effectiveness of positive airway pressure (PAP) therapy on PD among OSA patients. METHODS We systematically searched Embase, Cochrane Library and PubMed databases from their establishment to November 27, 2022. A random-effects approach was employed to determine aggregated results. Subgroup and sensitivity analyses were carried out to investigate heterogeneity. RESULTS Sixteen eligible studies were included in the analysis. Thirteen studies revealed that OSA significantly elevated the likelihood of developing PD (OR = 1.71; 95%CI = 1.17 to 2.49; p = 0.005). Subgroup analysis according to delirium assessment scales showed that OSA did not exhibit an association with the incidence of PD assessed by the Confusion Assessment Method-Intensive Care Unit (OR = 1.14; 95%CI = 0.77 to 1.67; p = 0.51) but enhanced the likelihood of developing PD evaluated with other measurement scales (OR = 2.15; 95%CI = 1.44 to 3.19; p = 0.0002). Three additional studies explored the impact of PAP treatment on PD among OSA individuals, indicating no significant reduction in PD incidence with PAP use (OR = 0.58; 95%CI = 0.13 to 2.47; p = 0.46). CONCLUSIONS OSA may not be a risk factor for PD in critically ill patients in the intensive care unit, but may increase the likelihood of developing PD among individuals receiving regular care in the ward postoperatively. The efficacy of PAP therapy in decreasing PD incidence among OSA patients remains debatable.
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Affiliation(s)
- Yao Xiao
- West China School of Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, Sichuan, PR China
| | - Pei-Jun Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, Sichuan, PR China.
| | - Meng-Yao Guo
- West China School of Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, Sichuan, PR China
| | - Yuan Cao
- West China School of Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, Sichuan, PR China
| | - Zong-An Liang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Road, Chengdu, 610041, Sichuan, PR China
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Tripathi S, Fritz BA, Abdelhack M, Avidan MS, Chen Y, King CR. Multi-view representation learning for tabular data integration using inter-feature relationships. J Biomed Inform 2024; 151:104602. [PMID: 38346530 DOI: 10.1016/j.jbi.2024.104602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVE An applied problem facing all areas of data science is harmonizing data sources. Joining data from multiple origins with unmapped and only partially overlapping features is a prerequisite to developing and testing robust, generalizable algorithms, especially in healthcare. This integrating is usually resolved using meta-data such as feature names, which may be unavailable or ambiguous. Our goal is to design methods that create a mapping between structured tabular datasets derived from electronic health records independent of meta-data. METHODS We evaluate methods in the challenging case of numeric features without reliable and distinctive univariate summaries, such as nearly Gaussian and binary features. We assume that a small set of features are a priori mapped between two datasets, which share unknown identical features and possibly many unrelated features. Inter-feature relationships are the main source of identification which we expect. We compare the performance of contrastive learning methods for feature representations, novel partial auto-encoders, mutual-information graph optimizers, and simple statistical baselines on simulated data, public datasets, the MIMIC-III medical-record changeover, and perioperative records from before and after a medical-record system change. Performance was evaluated using both mapping of identical features and reconstruction accuracy of examples in the format of the other dataset. RESULTS Contrastive learning-based methods overall performed the best, often substantially beating the literature baseline in matching and reconstruction, especially in the more challenging real data experiments. Partial auto-encoder methods showed on-par matching with contrastive methods in all synthetic and some real datasets, along with good reconstruction. However, the statistical method we created performed reasonably well in many cases, with much less dependence on hyperparameter tuning. When validating feature match output in the EHR dataset we found that some mistakes were actually a surrogate or related feature as reviewed by two subject matter experts. CONCLUSION In simulation studies and real-world examples, we find that inter-feature relationships are effective at identifying matching or closely related features across tabular datasets when meta-data is not available. Decoder architectures are also reasonably effective at imputing features without an exact match.
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Affiliation(s)
- Sandhya Tripathi
- Department of Anesthesiology, Washington University in St Louis, MO, USA.
| | - Bradley A Fritz
- Department of Anesthesiology, Washington University in St Louis, MO, USA
| | - Mohamed Abdelhack
- Krembil Centre for NeuroInformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Michael S Avidan
- Department of Anesthesiology, Washington University in St Louis, MO, USA
| | - Yixin Chen
- Department of Computer Science and Engineering, Washington University in St Louis, MO, USA
| | - Christopher R King
- Department of Anesthesiology, Washington University in St Louis, MO, USA
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Kuhlmann J, Alhammadi E, Mevissen A, Möllmann H. Delirium and sleep disturbances-A narrative review. Z Gerontol Geriatr 2023; 56:539-544. [PMID: 37665376 DOI: 10.1007/s00391-023-02228-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/27/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Delirium is considered a severe complication. It increases morbidity and mortality and represents a major financial burden for healthcare systems. Thus, prevention becomes a focal point of research. Sleep disturbances have been linked to the occurrence of delirium. Consequently, several interventions that target a possible connection have been studied in recent years. OBJECTIVE This narrative literature review explores the published data for an association between delirium and different types of sleep disturbances, the pathophysiological interactions and prevention methods. MATERIAL AND METHODS A literature search was carried out utilizing PubMed, the Cochrane Library, Livivo and Google Scholar. RESULTS Although an association between several types of sleep disturbances and delirium has been shown, no causality has been proven so far. Nevertheless, several pharmacological and nonpharmacological interventions for delirium prevention have been attempted; however, the level of evidence is insufficient at this point. CONCLUSION Further research is required to prove causality between sleep disturbances and delirium. Nonpharmacological interventions should be used in construction and maintenance of intensive care units and hospitals. Pharmacological interventions could be effective for prevention but further research is needed. Screening patients at risk of delirium for sleep disturbances and antihistaminergic/anticholinergic medication seems beneficial.
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Affiliation(s)
- Julian Kuhlmann
- Universitätsklinikum Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Eman Alhammadi
- Universitätsklinikum Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Anica Mevissen
- Universitätsklinikum Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Henriette Möllmann
- Universitätsklinikum Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
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Abstract
This review aims to provide a conceptual framework for preoperative evaluation and to highlight the clinical evidence available to support perioperative decision-making.
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Affiliation(s)
- Jeanna D Blitz
- Duke University School of Medicine, Durham, North Carolina
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Wu W, Pu L, Hu X, Chen Q, Wang G, Wang Y. Moderate-to-high risk of obstructive sleep apnea with excessive daytime sleepiness is associated with postoperative neurocognitive disorders: a prospective one-year follow-up cohort study. Front Neurosci 2023; 17:1161279. [PMID: 37325036 PMCID: PMC10266218 DOI: 10.3389/fnins.2023.1161279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/08/2023] [Indexed: 06/17/2023] Open
Abstract
Background Few studies found that obstructive sleep apnea (OSA) may be related to postoperative neurocognitive disorders (PND) including postoperative delirium (POD) and cognitive decline (POCD) in the early postoperative period. However, the results are controversial and need further verification, and no research has explored the effect of OSA on the incidence of PND during the 1-year follow-up periods. Furthermore, OSA patients with excessive daytime sleepiness (EDS) as a severe phenotype have more significant neurocognitive impairments, but the relationship between OSA with EDS and PND within 1 year after surgery has not been studied. Objectives To explore the effect of moderate-to-high risk of OSA and the moderate-to-high risk of OSA with EDS on PND within 1 year after surgery. Methods In this prospective cohort study, including 227 older patients, moderate-to-high risk of OSA (using STOP-BANG), subjective EDS (using Epworth Sleepiness Scale), and objective EDS (using Actigraphy) were selected as exposures. Key outcomes included POD during hospitalization (using Confusion Assessment Method-Severity), POCD at discharge, 1-month and 1-year after surgery (using Mini-Mental State Examination and Telephone Interview for Cognitive Status-40). We applied multiple logistic regression models to estimate the effect of moderate-to-high risk of OSA and moderate-to-high risk of OSA with EDS on PND. Results In the multivariate analysis, moderate-to-high risk of OSA was not associated with POD during hospitalization and POCD at discharge, 1-month, and 1-year after surgery (p > 0.05). However, the moderate-to-high risk of OSA with subjective EDS was related to POCD at discharge compared to the moderate-to-high risk of OSA or normal group (no moderate-to-high risk of OSA and no EDS) (p < 0.05). In addition, moderate-to-high risk of OSA with objective EDS was associated with POCD at discharge, 1-month, and 1-year postoperatively compared to the moderate-to-high risk of OSA or normal group (p < 0.05). Conclusion Moderate-to-high risk of OSA with EDS, not moderate-to-high risk of OSA alone, was a clinically helpful predictor for POCD within 1-year after surgery and should be routinely assessed before surgery.
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Affiliation(s)
- Wenwen Wu
- West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lihui Pu
- Menzies Health Institute Queensland & School of Nursing and Midwifery, Griffith University, Brisbane, QL, Australia
| | - Xiuying Hu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qian Chen
- Department of Geriatrics and National Clinical Research Center for Geriatrics, West China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guan Wang
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanyan Wang
- Science and Technology Department, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Xu X, Wang J, Shen J, Chen R. Association of preexisting obstructive sleep apnea with postoperative delirium in patients undergoing major surgeries: A systematic review and meta-analysis. TRENDS IN ANAESTHESIA AND CRITICAL CARE 2023. [DOI: 10.1016/j.tacc.2023.101239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
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Rivas E, Shehata P, Bravo M, Almonacid-Cardenas F, Shah K, Kopac O, Ruetzler K, Troianos CA, Turan A. Association between obstructive sleep apnea and atrial fibrillation and delirium after cardiac surgery. Sub-analysis of DECADE trial. J Clin Anesth 2023; 87:111109. [PMID: 36958074 DOI: 10.1016/j.jclinane.2023.111109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND Atrial fibrillation and delirium are common complications after cardiac surgery. Both are associated with increased Intensive Care Unit (ICU) and hospital length of stay, functional decline, 30-day mortality and increase in health care costs. Obstructive Sleep Apnea (OSA) induces deleterious effects in the cardiovascular and nervous systems. We hypothesized that adult patients with preoperative OSA have a higher incidence of postoperative atrial fibrillation and delirium than patients without OSA, after cardiac surgery. METHODS Sub-analysis of the DECADE trial at Cleveland Clinic hospitals. Our exposure was OSA, defined by STOP-BANG questionnaire score higher than 5 and/or a preoperative diagnosis of OSA. The primary outcome was atrial fibrillation, defined by clinician diagnosis or documented arrhythmia. The secondary outcome was delirium assessed twice during the initial five postoperative days using the Confusion Assessment Method for ICU. We assessed the association between OSA, and atrial fibrillation and delirium using a logistic regression model adjusted for confounders using inverse probability of treatment weighting. RESULTS 590 patients were included in the final analysis. 133 were diagnosed with OSA and 457 had no OSA. Satisfactory balance between groups for most confounders (absolute standardized difference < 0.10) was achieved after weighting. The atrial fibrillation incidence was 37% (n = 49) in the patients with OSA and 33% (n = 150) in the non-OSA patients. OSA was not associated with atrial fibrillation with an estimated odds ratio of 1.22 (95% CI: 0.75,1.99;p = 0.416). The delirium incidence was 17% (n = 22) in patients with OSA and 15% (n = 67) in the non-OSA patients. OSA was not associated with delirium with an estimated odds ratio of 0.93 (95% CI: 0.51,1.69;p = 0.800). CONCLUSION In adult patients having cardiac surgery, OSA is not associated with a higher incidence of postoperative atrial fibrillation and delirium. These results suggest different prominent factors rather than OSA affect the incidence of these postoperative outcomes.
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Affiliation(s)
- Eva Rivas
- Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States; Department of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain
| | - Peter Shehata
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Mauro Bravo
- Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States; Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States
| | | | - Karan Shah
- Department Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States
| | - Orkun Kopac
- Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Kurt Ruetzler
- Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States; Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States
| | | | - Alparslan Turan
- Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States; Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States.
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Berezin L, Nagappa M, Poorzargar K, Saripella A, Ariaratnam J, Butris N, Englesakis M, Chung F. The effectiveness of positive airway pressure therapy in reducing postoperative adverse outcomes in surgical patients with obstructive sleep apnea: A systematic review and meta-analysis. J Clin Anesth 2023; 84:110993. [PMID: 36347195 DOI: 10.1016/j.jclinane.2022.110993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/05/2022] [Accepted: 10/30/2022] [Indexed: 11/07/2022]
Abstract
IMPORTANCE Obstructive sleep apnea (OSA) is prevalent in surgical patients and is associated with an increased risk of adverse perioperative events. STUDY OBJECTIVE To determine the effectiveness of positive airway pressure (PAP) therapy in reducing the risk of postoperative complications in patients with OSA undergoing surgery. DESIGN Systematic review and meta-analysis searching Medline and other databases from inception to October 17, 2021. The search terms included: "positive airway pressure," "surgery," "post-operative," and "obstructive sleep apnea." The inclusion criteria were: 1) adult patients with OSA undergoing surgery; (2) patients using preoperative and/or postoperative PAP; (3) at least one postoperative outcome reported; (4) control group (patients with OSA undergoing surgery without preoperative and/or postoperative PAP therapy); and (5) English language articles. PATIENTS Twenty-seven studies included 30,514 OSA patients undergoing non-cardiac surgery and 837 OSA patients undergoing cardiac surgery. INTERVENTION PAP therapy MAIN RESULTS: In patients with OSA undergoing non-cardiac surgery, PAP therapy was associated with a decreased risk of postoperative respiratory complications (2.3% vs 3.6%; RR: 0.72, 95% CI: 0.51-1.00, asymptotic P = 0.05) and unplanned ICU admission (0.12% vs 4.1%; RR: 0.44, 95% CI: 0.19-0.99, asymptotic P = 0.05). No significant differences were found for all-cause complications (11.6% vs 14.4%; RR: 0.89, 95% CI: 0.74-1.06, P = 0.18), postoperative cardiac and neurological complications, in-hospital length of stay, and in-hospital mortality between the two groups. In patients with OSA undergoing cardiac surgery, PAP therapy was associated with decreased postoperative cardiac complications (33.7% vs 50%; RR: 0.63, 95% CI: 0.51-0.77, P < 0.0001), and postoperative atrial fibrillation (40.1% vs 66.7%; RR: 0.59, 95% CI 0.45-0.77, P < 0.0001). CONCLUSION In patients with OSA undergoing non-cardiac surgery, PAP therapy was associated with a 28% reduction in the risk of postoperative respiratory complications and 56% reduction in unplanned ICU admission. In patients with OSA undergoing cardiac surgery, PAP therapy decreased the risk of postoperative cardiac complications and atrial fibrillation by 37% and 41%, respectively.
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Affiliation(s)
- Linor Berezin
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Mahesh Nagappa
- Department of Anesthesia & Perioperative Medicine, London Health Sciences Centre and St. Joseph Healthcare, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Khashayar Poorzargar
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, ON, Canada
| | - Aparna Saripella
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Jennita Ariaratnam
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Nina Butris
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, ON, Canada
| | - Marina Englesakis
- Library & Information Services, University Health Network, Toronto, ON, Canada
| | - Frances Chung
- Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Anesthesia & Perioperative Medicine, London Health Sciences Centre and St. Joseph Healthcare, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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Wong J, Doherty HR, Singh M, Choi S, Siddiqui N, Lam D, Liyanage N, Tomlinson G, Chung F. The prevention of delirium in elderly surgical patients with obstructive sleep apnea (PODESA): a randomized controlled trial. BMC Anesthesiol 2022; 22:290. [PMID: 36104664 PMCID: PMC9472354 DOI: 10.1186/s12871-022-01831-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/26/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is associated with neurocognitive impairment - a known risk factor for postoperative delirium. However, it is unclear whether OSA increases the risk of postoperative delirium and whether treatment is protective. The objectives of this study were to identify OSA with a home sleep apnea test (HSAT) and to determine whether auto-titrating positive airway pressure (APAP) reduces postoperative delirium in older adults with newly diagnosed OSA undergoing elective hip or knee arthroplasty. METHODS We conducted a multi-centre, randomized controlled trial at three academic hospitals in Canada. Research ethics board approval was obtained from the participating sites and informed consent was obtained from participants. Inclusion criteria were patients who were [Formula: see text]0 years and scheduled for elective hip or knee replacement. Patients with a STOP-Bang score of ≥ 3 had a HSAT. Patients were defined as having OSA if the apnea-hypopnea index was ≥ 10/h. These patients were randomized 1:1 to either: 1) APAP for 72 h postoperatively or until discharge, or 2) routine care after surgery. The primary outcome was postoperative delirium, assessed twice daily with the Confusion Assessment Method for 72 h or until discharge or by chart review. The secondary outcome measures included length of stay, and perioperative complications occurring within 30 days after surgery. RESULTS Of 549 recruited patients, 474 completed a HSAT. A total of 234 patients with newly diagnosed OSA were randomized. The mean age was 68.2 (6.2) years and 58.6% were male. Analysis was performed on 220 patients. In total, 2.7% (6/220) patients developed delirium after surgery: 4.4% (5/114) patients in the routine care group, and 0.9% (1/106) patients in the treatment group (P = 0.21). The mean length of stay for the APAP vs. the routine care group was 2.9 (2.9) days vs. 3.5 (4.5) days (P = 0.24). On postoperative night 1, 53.5% of patients used APAP for 4 h/night or more, this decreased to 43.5% on night 2, and 24.6% on night 3. There was no difference in intraoperative and postoperative complications between the two groups. CONCLUSIONS We had an unexpectedly low rate of postoperative delirium thus we were unable to determine if postoperative delirium was reduced in older adults with newly diagnosed OSA receiving APAP vs. those who did not receive APAP after elective knee or hip arthroplasty. TRIAL REGISTRATION This trial was retrospectively registered in clinicaltrials.gov NCT02954224 on 03/11/2016.
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Affiliation(s)
- Jean Wong
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada ,grid.417199.30000 0004 0474 0188Department of Anesthesiology and Pain Medicine, Women’s College Hospital, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON Canada
| | - Helen R. Doherty
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada
| | - Mandeep Singh
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada ,grid.417199.30000 0004 0474 0188Department of Anesthesiology and Pain Medicine, Women’s College Hospital, Toronto, ON Canada
| | - Stephen Choi
- grid.17063.330000 0001 2157 2938Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Anesthesia, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON Canada
| | - Naveed Siddiqui
- grid.17063.330000 0001 2157 2938Department of Anesthesia, Mount Sinai Hospital, University of Toronto, Toronto, ON Canada
| | - David Lam
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada
| | - Nishanthi Liyanage
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada
| | - George Tomlinson
- grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, Department of Medicine, University of Toronto, Toronto, ON M5G 2C4 Canada
| | - Frances Chung
- grid.17063.330000 0001 2157 2938Department of Anesthesiology and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON Canada
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12
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Qian D, Wong J. Sleep disturbances, sleep-disordered breathing, and cognitive impairment in older adults: perioperative implications. Int Anesthesiol Clin 2022; 60:20-26. [PMID: 35261342 DOI: 10.1097/aia.0000000000000359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Dorothy Qian
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jean Wong
- University Health Network, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada
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13
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Dooijeweerd S, Torensma B, Faraj D, Eldawlatly A. Incidence of postoperative delirium in patients with preoperative and postoperative Obstructive Sleep Apnea Syndrome. A Systematic Review of the literature. Saudi J Anaesth 2022; 16:94-103. [PMID: 35261596 PMCID: PMC8846253 DOI: 10.4103/sja.sja_559_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/02/2021] [Accepted: 08/08/2021] [Indexed: 11/04/2022] Open
Abstract
Introduction Clinical research has suggested that there might be a correlation between postoperative delirium (POD) and obstructive sleep apnea (OSA) syndrome. We aimed to assess the association between POD and OSA syndrome. Methods The electronic database PubMed was searched using combinations of terms for "Delirium,'' "Obstructive Sleep Apnea,'' and "postoperative delirium.'' Excluded were studies without comparison as well as cross-sectional studies, case series, and case reports. The search was conducted with restriction toward English or not to the date of publication. Results We included four studies in this review. In two of those studies, an association was found between POD and OSA syndrome. Pooled analysis showed a significant correlation between the two. Conclusion High-quality studies regarding the subject are rare and heterogeneous. However, despite the lack of high-quality studies regarding the subject, the ones that are performed well conclude that there is a correlation between POD and OSA syndrome. Future studies addressing the matter should be well set up controlled clinical trials to draw conclusions and be able to investigate modifiable factors that can be used in a standardized protocol.
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Affiliation(s)
- S. Dooijeweerd
- Department of Surgery, Dutch Obesity Clinic West, The Hague, The Netherland
| | - Bart Torensma
- Department of Anaesthesiology, Leiden University Medical Center, Leiden, The Netherland
- Department of Surgery, Dutch Obesity Clinic West, The Hague, The Netherland
| | - D. Faraj
- Department of Surgery, Groene Hart Hospital, Gouda, The Netherland
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O’Gara BP, Gao L, Marcantonio ER, Subramaniam B. Sleep, Pain, and Cognition: Modifiable Targets for Optimal Perioperative Brain Health. Anesthesiology 2021; 135:1132-1152. [PMID: 34731233 PMCID: PMC8578455 DOI: 10.1097/aln.0000000000004046] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The prevention of perioperative neurocognitive disorders is a priority for patients, families, clinicians, and researchers. Given the multiple risk factors present throughout the perioperative period, a multicomponent preventative approach may be most effective. The objectives of this narrative review are to highlight the importance of sleep, pain, and cognition on the risk of perioperative neurocognitive disorders and to discuss the evidence behind interventions targeting these modifiable risk factors. Sleep disruption is associated with postoperative delirium, but the benefit of sleep-related interventions is uncertain. Pain is a risk factor for postoperative delirium, but its impact on other postoperative neurocognitive disorders is unknown. Multimodal analgesia and opioid avoidance are emerging as best practices, but data supporting their efficacy to prevent delirium are limited. Poor preoperative cognitive function is a strong predictor of postoperative neurocognitive disorder, and work is ongoing to determine whether it can be modified to prevent perioperative neurocognitive disorders.
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Affiliation(s)
- Brian P O’Gara
- Beth Israel Deaconess Medical Center. Department of Anesthesiology, Critical Care and Pain Medicine. Harvard Medical School. Boston, MA, USA
| | - Lei Gao
- Massachusetts General Hospital. Department of Anesthesia. Harvard Medical School. Boston, MA, USA
| | - Edward R Marcantonio
- Beth Israel Deaconess Medical Center. Department of Medicine. Harvard Medical School. Boston, MA, USA
| | - Balachundhar Subramaniam
- Beth Israel Deaconess Medical Center. Department of Anesthesiology, Critical Care and Pain Medicine. Harvard Medical School. Boston, MA, USA
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15
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Lin D, Huang X, Sun Y, Wei C, Wu A. Perioperative Sleep Disorder: A Review. Front Med (Lausanne) 2021; 8:640416. [PMID: 34164409 PMCID: PMC8215143 DOI: 10.3389/fmed.2021.640416] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/13/2021] [Indexed: 12/28/2022] Open
Abstract
Patients in the perioperative period usually present with different types and degrees of sleep disorders, which can severely affect their post-operative outcomes. Multiple risk factors may lead to the occurrence of perioperative sleep disorders, including personal factors, psychological factors, surgery factors, and environmental factors. In this review, we summarize the potential risk factors for perioperative sleep disorders during hospitalization. And it also provides an overview of perioperative outcomes and potential therapeutic prevention of perioperative sleep disorders. However, the further search is necessary to investigate the effectiveness and safety of preventions in the clinical practice and push forward the therapies.
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Affiliation(s)
- Dandan Lin
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiao Huang
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yi Sun
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Changwei Wei
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Anshi Wu
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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16
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Abraham J, King CR, Meng A. Ascertaining Design Requirements for Postoperative Care Transition Interventions. Appl Clin Inform 2021; 12:107-115. [PMID: 33626584 DOI: 10.1055/s-0040-1721780] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND Handoffs or care transitions from the operating room (OR) to intensive care unit (ICU) are fragmented and vulnerable to communication errors. Although protocols and checklists for standardization help reduce errors, such interventions suffer from limited sustainability. An unexplored aspect is the potential role of developing personalized postoperative transition interventions using artificial intelligence (AI)-generated risks. OBJECTIVES This study was aimed to (1) identify factors affecting sustainability of handoff standardization, (2) utilize a human-centered approach to develop design ideas and prototyping requirements for a sustainable handoff intervention, and (3) explore the potential role for AI risk assessment during handoffs. METHODS We conducted four design workshops with 24 participants representing OR and ICU teams at a large medical academic center. Data collection phases were (1) open-ended questions, (2) closed card sorting of handoff information elements, and (3) scenario-based design ideation and prototyping for a handoff intervention. Data were analyzed using thematic analysis. Card sorts were further tallied to characterize handoff information elements as core, flexible, or unnecessary. RESULTS Limited protocol awareness among clinicians and lack of an interdisciplinary electronic health record (EHR)-integrated handoff intervention prevented long-term sustainability of handoff standardization. Clinicians argued for a handoff intervention comprised of core elements (included for all patients) and flexible elements (tailored by patient condition and risks). They also identified unnecessary elements that could be omitted during handoffs. Similarities and differences in handoff intervention requirements among physicians and nurses were noted; in particular, clinicians expressed divergent views on the role of AI-generated postoperative risks. CONCLUSION Current postoperative handoff interventions focus largely on standardization of information transfer and handoff processes. Our design approach allowed us to visualize accurate models of user expectations for effective interdisciplinary communication. Insights from this study point toward EHR-integrated, "flexibly standardized" care transition interventions that can automatically generate a patient-centered summary and risk-based report.
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Affiliation(s)
- Joanna Abraham
- Department of Anesthesiology, School of Medicine, Washington University, St. Louis, Missouri, United States.,Institute for Informatics, Department of Medicine, School of Medicine, Washington University in St. Louis, Missouri, United States
| | - Christopher R King
- Department of Anesthesiology, School of Medicine, Washington University, St. Louis, Missouri, United States
| | - Alicia Meng
- Department of Anesthesiology, School of Medicine, Washington University, St. Louis, Missouri, United States
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17
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Wang H, Zhang L, Zhang Z, Li Y, Luo Q, Yuan S, Yan F. Perioperative Sleep Disturbances and Postoperative Delirium in Adult Patients: A Systematic Review and Meta-Analysis of Clinical Trials. Front Psychiatry 2020; 11:570362. [PMID: 33173517 PMCID: PMC7591683 DOI: 10.3389/fpsyt.2020.570362] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 09/14/2020] [Indexed: 01/11/2023] Open
Abstract
Background: The aim of this systematic review and meta-analysis of clinical trials was to investigate the effects of perioperative sleep disturbances on postoperative delirium (POD). Methods: Authors searched for studies (until May 12, 2020) reporting POD in patients with sleep disturbances following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: We identified 29 relevant trials including 55,907 patients. We divided these trials into three groups according to study design: Seven retrospective observational trials, 12 prospective observational trials, and 10 randomized controlled trials. The results demonstrated that perioperative sleep disturbances were significantly associated with POD occurrence in observational groups [retrospective: OR = 0.56, 95% CI: [0.33, 0.93], I 2 = 91%, p for effect = 0.03; prospective: OR = 0.27, 95% CI: [0.20, 0.36], I 2 = 25%, p for effect < 0.001], but not in the randomized controlled trial group [OR = 0.58, 95% CI: [0.34, 1.01], I 2 = 68%, p for effect = 0.05]. Publication bias was assessed using Egger's test. We used a one-by-one literature exclusion method to address high heterogeneity. Conclusions: Perioperative sleep disturbances were potential risk factors for POD in observational trials, but not in randomized controlled trials.
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Affiliation(s)
- Hongbai Wang
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Liang Zhang
- Department of Anesthesiology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Zhe Zhang
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Yinan Li
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Qipeng Luo
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Su Yuan
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Fuxia Yan
- Department of Anesthesiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
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