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Cui Q, Zhao W, Chen H, Ren Y, Yin X, Zheng M, Li M, Wang J, Wang J, Zeng M, Li S, Zhang K, Wu X, Zhou L, Jiao Y, Sessler DI, Mi W, Peng Y. Covert Perioperative Strokes in Older Patients Having Noncardiac Surgery (PRECISION): A Prospective Cohort Analysis. Anesthesiology 2025; 142:443-453. [PMID: 39723887 DOI: 10.1097/aln.0000000000005327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2024]
Abstract
BACKGROUND Perioperative strokes may promote postoperative neurocognitive dysfunction. This study thus evaluated the incidence of postoperative strokes and the association between strokes and postoperative neurocognitive outcomes in older patients recovering from noncardiac surgery. METHODS The Postoperative Covert Stroke and Cognitive Dysfunction among Elderly Patients Undergoing Noncardiac Surgery study (PRECISION) was a two-center prospective cohort study evaluating patients aged 60 yr or older who had elective, noncardiac inpatient surgery at two Chinese academic centers. Postoperative strokes were evaluated by scheduled magnetic resonance brain imaging within 7 days. The primary outcome was the cumulative incidence of postoperative stroke. Secondary outcomes included postoperative delirium within the first 5 days after surgery, neurocognitive decline at 12 months, and the association between stroke and neurocognitive dysfunction. RESULTS Among 934 patients (mean age, 67 yr; 45% male) included in the analyses, two thirds had neurosurgical craniotomies. There were 111 (11.9%; 95% CI, 9.8 to 14.0%) covert strokes within 7 days after surgery and no overt strokes. Postoperative delirium was observed in 117 patients (12.5%; 95% CI, 10.4 to 14.7%) within 5 days, and neurocognitive decline was observed in 147 patients (18.8%; 95% CI, 16.0 to 21.5%) at 1 yr after surgery. Postoperative covert strokes were significantly associated with delirium (adjusted odds ratio, 2.18; 95% CI, 1.31 to 3.62; P = 0.003) and 1-yr neurocognitive decline (adjusted odds ratio, 2.33; 95% CI, 1.31 to 4.13; P = 0.004) in overall participants. CONCLUSIONS Among patients aged 60 yr and older who had major noncardiac surgery, mainly intracranial, one in nine patients experienced a perioperative covert stroke. Covert strokes more than doubled the risk of postoperative delirium and long-term neurocognitive decline. Covert perioperative strokes are common and clinically meaningful.
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Affiliation(s)
- Qianyu Cui
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Weixing Zhao
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Hongyan Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yue Ren
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xueke Yin
- Xueke Yin, M.D.; Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Maoyao Zheng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Muhan Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jie Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Juan Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Min Zeng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Shu Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Kai Zhang
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Xiaodong Wu
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Liye Zhou
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Youyou Jiao
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Daniel I Sessler
- Center for Outcomes Research and Department of Anesthesiology, UTHealth, Houston, Texas
| | - Weidong Mi
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Yuming Peng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China; Outcomes Research Consortium, Houston, Texas
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Boucher E, Jell A, Singh S, Davies J, Smith T, Pill A, Varnai K, Woods K, Walliker D, McColl A, Shepperd S, Pendlebury S. Protocol for the Development and Analysis of the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR). BMJ Open 2024; 14:e085126. [PMID: 38816052 PMCID: PMC11141189 DOI: 10.1136/bmjopen-2024-085126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/01/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy. METHODS AND ANALYSIS ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method-CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients. ETHICS AND DISSEMINATION ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services.
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Affiliation(s)
- Emily Boucher
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Aimee Jell
- Informatics Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sudhir Singh
- Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jim Davies
- Department of Computer Science, University of Oxford, Oxford, UK
| | - Tanya Smith
- Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Adam Pill
- Research Informatics Team, Research and Development Department, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Kinga Varnai
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Kerrie Woods
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Walliker
- Research and Development Clinical Informatics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Aubretia McColl
- Department of Acute Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK
- Department of Elderly Care Medicine, Royal Berkshire NHS Hospital Foundation Trust, Reading, UK
| | - Sasha Shepperd
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Acute General (Internal) Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Department of Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Dunne CP, Dunne SS. Casting light on the links between delirium, infection, and dementia risk. THE LANCET. HEALTHY LONGEVITY 2024; 5:e90-e91. [PMID: 38310900 DOI: 10.1016/s2666-7568(24)00003-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 02/06/2024] Open
Affiliation(s)
- Colum P Dunne
- School of Medicine and Centre for Interventions in Infection, Inflammation, and Immunity (4i), University of Limerick, Limerick V94 T9PX, Ireland.
| | - Suzanne Shine Dunne
- School of Medicine and Centre for Interventions in Infection, Inflammation, and Immunity (4i), University of Limerick, Limerick V94 T9PX, Ireland
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