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Pahwa B, Kazim SF, Vellek J, Alvarez-Crespo DJ, Shah S, Tarawneh O, Dicpinigaitis AJ, Grandhi R, Couldwell WT, Schmidt MH, Bowers CA. Frailty as a predictor of poor outcomes in patients with chronic subdural hematoma (cSDH): A systematic review of literature. World Neurosurg X 2024; 23:100372. [PMID: 38638610 PMCID: PMC11024655 DOI: 10.1016/j.wnsx.2024.100372] [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: 03/04/2023] [Revised: 03/22/2024] [Accepted: 03/22/2024] [Indexed: 04/20/2024] Open
Abstract
Objective In recent years, frailty has been reported to be an important predictive factor associated with worse outcomes in neurosurgical patients. The purpose of the present systematic review was to analyze the impact of frailty on outcomes of chronic subdural hematoma (cSDH) patients. Methods We performed a systematic review of literature using the PubMed, Cochrane library, Wiley online library, and Web of Science databases following PRISMA guidelines of studies evaluating the effect of frailty on outcomes of cSDH published until January 31, 2023. Results A comprehensive literature search of databases yielded a total of 471 studies. Six studies with 4085 patients were included in our final qualitative systematic review. We found that frailty was associated with inferior outcomes (including mortality, complications, recurrence, and discharge disposition) in cSDH patients. Despite varying frailty scales/indices used across studies, negative outcomes occurred more frequently in patients that were frail than those who were not. Conclusions While the small number of available studies, and heterogenous methodology and reporting parameters precluded us from conducting a pooled analysis, the results of the present systematic review identify frailty as a robust predictor of worse outcomes in cSDH patients. Future studies with a larger sample size and consistent frailty scales/indices are warranted to strengthen the available evidence. The results of this work suggest a strong case for using frailty as a pre-operative risk stratification measure in cSDH patients.
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Affiliation(s)
- Bhavya Pahwa
- Medical Student, University College of Medical Sciences and GTB Hospital, New Delhi, India
| | - Syed Faraz Kazim
- Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA
| | - John Vellek
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | | | - Smit Shah
- Department of Neurology, PRISMA Health/University of South Carolina School of Medicine, Columbia, SC, USA
| | - Omar Tarawneh
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | | | - Ramesh Grandhi
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, UT, USA
| | - William T. Couldwell
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, UT, USA
| | - Meic H. Schmidt
- Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA
| | - Christian A. Bowers
- Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA
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Roy JM, Kazim SF, Macciola D, Rangel DN, Rumalla K, Karimov Z, Link R, Iqbal J, Riaz MA, Skandalakis GP, Venero CV, Sidebottom RB, Dicpinigaitis AJ, Kassicieh CS, Tarawneh O, Conlon MS, Thommen R, Alvarez-Crespo DJ, Chhabra K, Sridhar S, Gill A, Vellek J, Nguyen PA, Thompson G, Robinson M, Bowers CA. Frailty as a predictor of postoperative outcomes in neurosurgery: a systematic review. J Neurosurg Sci 2024; 68:208-215. [PMID: 37878249 DOI: 10.23736/s0390-5616.23.06130-1] [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: 10/26/2023]
Abstract
INTRODUCTION Baseline frailty status has been utilized to predict a wide range of outcomes and guide preoperative decision making in neurosurgery. This systematic review aims to analyze existing literature on the utilization of frailty as a predictor of neurosurgical outcomes. EVIDENCE ACQUISITION We conducted a systematic review following PRISMA guidelines. Studies that utilized baseline frailty status to predict outcomes after a neurosurgical intervention were included in this systematic review. Studies that utilized sarcopenia as the sole measure of frailty were excluded. PubMed, EMBASE, and Cochrane library was searched from inception to March 1st, 2023, to identify relevant articles. EVIDENCE SYNTHESIS Overall, 244 studies met the inclusion criteria. The 11-factor modified frailty index (mFI-11) was the most utilized frailty measure (N.=91, 37.2%) followed by the five-factor modified Frailty Index (mFI-5) (N.=80, 32.7%). Spine surgery was the most common subspecialty (N.=131, 53.7%), followed by intracranial tumor resection (N.=57, 23.3%), and post-operative complications were the most reported outcome (N.=130, 53.2%) in neurosurgical frailty studies. The USA and the Bowers author group published the greatest number of articles within the study period (N.=176, 72.1% and N.=37, 15.2%, respectively). CONCLUSIONS Frailty literature has grown exponentially over the years and has been incorporated into neurosurgical decision making. Although a wide range of frailty indices exist, their utility may vary according to their ability to be incorporated in the outpatient clinical setting.
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Affiliation(s)
- Joanna M Roy
- Topiwala National Medical College, Mumbai, India
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
| | - Syed F Kazim
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Dylan Macciola
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Dante N Rangel
- School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Kavelin Rumalla
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Zafar Karimov
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Remy Link
- School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Javed Iqbal
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Muhammad A Riaz
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | - Georgios P Skandalakis
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
| | | | | | | | | | - Omar Tarawneh
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Matt S Conlon
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Rachel Thommen
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | | | - Karizma Chhabra
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Sahaana Sridhar
- Burrell College of Osteopathic Medicine, Las Cruces, NM, USA
| | - Amanpreet Gill
- Burrell College of Osteopathic Medicine, Las Cruces, NM, USA
| | - John Vellek
- School of Medicine, New York Medical College, Valhalla, NY, USA
| | - Phuong A Nguyen
- School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Grace Thompson
- School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Myranda Robinson
- School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Christian A Bowers
- Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA -
- Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, NM, USA
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3
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Mitchell A, Flexman AM. Frailty: Implications for Neuroanesthesia. J Neurosurg Anesthesiol 2024; 36:95-100. [PMID: 38237579 DOI: 10.1097/ana.0000000000000953] [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: 12/21/2023] [Accepted: 01/02/2024] [Indexed: 04/16/2024]
Abstract
Frailty is increasingly prevalent in the aging neurosurgical population and is an important component of perioperative risk stratification and optimization to reduce complications. Frailty is measured using the phenotypic or deficit accumulation models, with simplified tools most commonly used in studies of neurosurgical patients. There are a limited number of frailty measurement tools that have been validated for individuals with neurological disease, and those that exist are mainly focused on spine pathology. Increasing frailty consistently predicts worse outcomes for patients across a range of neurosurgical procedures, including early complications, disability, non-home discharge, and mortality. Evidence for interventions to improve outcomes for frail neurosurgical patients is limited, and the role of bundled care pathways, prehabilitation, and multidisciplinary involvement requires further investigation. Surgery itself may be an intervention to improve frailty in selected patients, and future research should focus on identifying effective interventions to improve both short-term complications and long-term outcomes.
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Affiliation(s)
- Amy Mitchell
- Department of Anesthesiology and Perioperative Care, Vancouver General Hospital
| | - Alana M Flexman
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia
- Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, BC, Canada
- Department of Anesthesia, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada
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4
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Zaki PG, Bolger J, Rogowski B, Busch N, Elhamdani S, Jeong S, Li J, Leonardo J, Williamson R, Yu A, Shepard MJ. The Utility of the 5 Factor Modified Frailty Index in Outcome Prediction for Patients with Chronic Subdural Hematoma Treated with Surgical Drainage. World Neurosurg 2023; 179:e328-e341. [PMID: 37634666 DOI: 10.1016/j.wneu.2023.08.085] [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: 08/01/2023] [Accepted: 08/19/2023] [Indexed: 08/29/2023]
Abstract
OBJECTIVE Increasing frailty is a significant determinant of perioperative morbidity and mortality within neurosurgical literature. This study investigates the predictive value of the modified frailty index 5 (mFI-5) for postoperative morbidity and mortality following surgical drainage of chronic subdural hematoma (cSDH). METHODS A retrospective cohort study was performed on patients who underwent surgical evacuation of a cSDH. The mFI-5 score was calculated for each patient and used to stratify patients: prefrail (mFI-5<2), frail (mFI-5 = 2), and severely frail (mFI-5>2). Multivariate Cox proportional hazards (CPH) regression analysis were used to identify factors associated with our primary outcomes: overall survival and 30-day readmission. Secondary outcomes included nonhome discharge, length of stay, hematoma accumulation, development of new postoperative neurologic deficits, resolution of preoperative neurologic deficits, and a modified Rankin score >2 at discharge. RESULTS 118 patients with a mean age of 74.4 ± 11.9 years were analyzed. All baseline demographics were similar across the 3 groups. On multivariate analysis, severely frail patients (N = 24, 20.3%) had increased rates of 30-day readmission (hazard ratio [HR] 4.3, CPH regression P value<0.001) and postoperative mortality (HR 3.1, CPH regression P value<0.01) compared to the prefrail cohort. Severely frail patients had increased rates of nonhome disposition (HR 9.6, CPH regression P value< 0.001), development of new postoperative neurologic deficits (HR 2.75, CPH regression P value = 0.03), and hematoma reaccumulation (HR 4.07, CPH regression P value = 0.004). A novel scoring system accounting for patient age and frailty was predictive of 90-day mortality (area under the curve 0.77). CONCLUSIONS Frailty, measured by the mFI-5, and our novel scoring system hold a predictive value regarding outcomes for patients undergoing surgical drainage of a cSDH.
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Affiliation(s)
- Peter G Zaki
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - John Bolger
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Brandon Rogowski
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Nisha Busch
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Shahed Elhamdani
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Seung Jeong
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Jenna Li
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Jody Leonardo
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Richard Williamson
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Alexander Yu
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA
| | - Matthew J Shepard
- Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, Pennsylvania, USA.
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5
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Stubbs DJ, Davies BM, Dixon-Woods M, Bashford TH, Braude P, Bulters D, Camp S, Carr G, Coles JP, Dhesi J, Dinsmore J, Edlmann E, Evans NR, Figaji A, Foster E, Lecky F, Kolias A, Joannides A, Moppett I, Nathanson M, Newcombe V, Owen N, Peterman L, Proffitt A, Skiterall C, Whitfield P, Wilson SR, Zolnourian A, Amarouche M, Ansari A, Borg N, Brennan PM, Brown C, Corbett C, Dammers R, Das T, Feilding E, Galea M, Gillespie C, Glancz L, Gooding F, Grange R, Gray N, Hartley P, Hassan T, Holl D, Jones J, Knight R, Luoma V, Mee H, Minett T, Novak S, Peck G, Ralhan S, Ramshaw J, Richardson D, Sadek AR, Sheehan K, Sheppard F, Shipway D, Singh N, Smith M, Sturley R, Swart M, Thomas W, Uprichard J, Yeardley V, Menon DK, Hutchinson PJ. Protocol for the development of a multidisciplinary clinical practice guideline for the care of patients with chronic subdural haematoma. Wellcome Open Res 2023; 8:390. [PMID: 38434734 PMCID: PMC10905132 DOI: 10.12688/wellcomeopenres.18478.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2023] [Indexed: 03/05/2024] Open
Abstract
Introduction: A common neurosurgical condition, chronic subdural haematoma (cSDH) typically affects older people with other underlying health conditions. The care of this potentially vulnerable cohort is often, however, fragmented and suboptimal. In other complex conditions, multidisciplinary guidelines have transformed patient experience and outcomes, but no such framework exists for cSDH. This paper outlines a protocol to develop the first comprehensive multidisciplinary guideline from diagnosis to long-term recovery with cSDH. Methods: The project will be guided by a steering group of key stakeholders and professional organisations and will feature patient and public involvement. Multidisciplinary thematic working groups will examine key aspects of care to formulate appropriate, patient-centered research questions, targeted with evidence review using the GRADE framework. The working groups will then formulate draft clinical recommendations to be used in a modified Delphi process to build consensus on guideline contents. Conclusions: We present a protocol for the development of a multidisciplinary guideline to inform the care of patients with a cSDH, developed by cross-disciplinary working groups and arrived at through a consensus-building process, including a modified online Delphi.
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Affiliation(s)
- Daniel J Stubbs
- Division of Perioperative, Acute, and Critical care, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
- Healthcare Design Group, Department of Engineering, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Department of Clinical Neurosurgery, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Mary Dixon-Woods
- The Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK
| | - Thomas H Bashford
- Division of Perioperative, Acute, and Critical care, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
- Healthcare Design Group, Department of Engineering, University of Cambridge, Cambridge, UK
| | - Philip Braude
- Department of Medicine for Older People, North Bristol NHS Trust, Bristol, UK
| | - Diedrik Bulters
- Department of Neurosurgery, University Hospital Southampton, Southampton, UK
| | - Sophie Camp
- Department of Neurosurgery, Imperial College Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, London, UK
| | | | - Jonathan P Coles
- Division of Perioperative, Acute, and Critical care, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Jugdeep Dhesi
- Department of Geriatric Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Judith Dinsmore
- Department of Anaesthesia, St George's University NHS Trust, London, UK
| | - Ellie Edlmann
- Department of Neurosurgery, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Nicholas R Evans
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anthony Figaji
- Department of Neurosurgery, University of Cape Town, Cape Town, South Africa
| | - Emily Foster
- Department of Clinical Neurosciences, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Fiona Lecky
- Department of Emergency Medicine, University of Sheffield, Sheffield, UK
| | - Angelos Kolias
- Department of Clinical Neurosurgery, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Alexis Joannides
- Department of Clinical Neurosurgery, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Iain Moppett
- Department of Anaesthesia and Perioperative Medicine, University of Nottingham, Nottingham, UK
| | - Mike Nathanson
- Department of Anaesthesia, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Virginia Newcombe
- Division of Perioperative, Acute, and Critical care, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Nicola Owen
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Amy Proffitt
- Department of Palliative Medicine, Barts and The London NHS Trust, London, UK
| | - Charlotte Skiterall
- Pharmacy Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter Whitfield
- Department of Neurosurgery, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Sally R Wilson
- Department of Anaesthesia and Critical Care, National Hospital for Neurology and Neurosurgery, London, UK
| | - Ardalan Zolnourian
- Department of Neurosurgery, University Hospital Southampton, Southampton, UK
| | | | - Akbar Ansari
- The Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK
| | - Nick Borg
- Department of Neurosurgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Paul M Brennan
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Charlotte Brown
- Pharmacy Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Christopher Corbett
- ACP in Emergency Medicine, Norfolk & Norwich University Hospital, Norwich, UK
| | - Ruben Dammers
- Neurosurgeon, Erasmus MC Stroke Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tilak Das
- Consultant Neuroradiologist, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Emily Feilding
- Consultant Geriatrician (Major Trauma), Salford Royal Hospital, Salford, UK
| | - Marilise Galea
- Department of Neurosurgery, University Hospital Southampton, Southampton, UK
| | - Conor Gillespie
- Department of Clinical Neurosurgery, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Laurence Glancz
- Department of Neurosurgery, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Felix Gooding
- Department of Emergency Medicine, St Thomas' Hospital, London, UK
| | - Robert Grange
- Department of Medicine for Older People, North Bristol NHS Trust, Bristol, UK
| | - Natalie Gray
- Department of Physiotherapy, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Peter Hartley
- Department of Physiotherapy, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Taj Hassan
- Department of Emergency Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Dana Holl
- Department of Neurosurgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Julia Jones
- Department of Neurosurgery, St George's Hospital, London, UK
| | | | - Val Luoma
- Department of Anaesthesia and Critical Care, National Hospital for Neurology and Neurosurgery, London, UK
| | - Harry Mee
- Department of Rehabilitation Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thais Minett
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Stephen Novak
- Department of Rehabilitation Medicine, North Bristol NHS Trust, Bristol, UK
| | - George Peck
- Department of Geriatric Medicine, Imperial College London, London, UK
| | - Shvaita Ralhan
- Department of Geriatric Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jennifer Ramshaw
- Pharmacy Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Davina Richardson
- Department of Neurosciences, Imperial College Healthcare NHS Trust, London, UK
| | - Ahmed-Ramadan Sadek
- Department of Neurosurgery, Barking Havering Redbridge University Trust, Romford, UK
| | - Katie Sheehan
- Rehabilitation and Health Services Research, Kings College, London, UK
| | - Francoise Sheppard
- Department of Emergency Medicine, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - David Shipway
- Department of Medicine for Older People, North Bristol NHS Trust, Bristol, UK
| | - Navneet Singh
- Department of Neurosurgery, St George's Hospital, London, UK
| | - Martin Smith
- Department of Emergency Medicine, Salford Royal NHS Foundation Trust, Salford, UK
| | - Rhonda Sturley
- Department of Geriatric Medicine, St George's, University of London, London, UK
| | - Michael Swart
- Department of Anaesthesia, Torbay and South Devon NHS Foundation Trust, Torquay, UK
| | - William Thomas
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Vickie Yeardley
- Imperial College Healthcare NHS Trust, London, UK
- Central London Community Healthcare NHS Trust, London, UK
| | - David K Menon
- Division of Perioperative, Acute, and Critical care, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
| | - Peter J Hutchinson
- Department of Clinical Neurosurgery, University of Cambridge Addenbrooke's Hospital Cambridge, Cambridge, UK
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6
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Spiro E, DiGiorgio AM. Commentary: The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases. Neurosurgery 2022; 91:e166-e167. [PMID: 36226959 DOI: 10.1227/neu.0000000000002178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Ergi Spiro
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.,Institute for Health Policy Studies, University of California, San Francisco, California, USA
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7
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Tang OY, Shao B, Kimata AR, Sastry RA, Wu J, Asaad WF. The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases. Neurosurgery 2022; 91:808-820. [PMID: 36069524 DOI: 10.1227/neu.0000000000002116] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/12/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury outcomes is not well characterized. OBJECTIVE To analyze the association between frailty and traumatic intracranial hemorrhage (tICH) outcomes in a nationwide cohort. METHODS We identified all adult admissions for tICH in the National Trauma Data Bank from 2007 to 2017. Frailty was quantified using the validated modified 5-item Frailty Index (mFI-5) metric (range = 0-5), with mFI-5 ≥2 denoting frailty. Analyzed outcomes included in-hospital mortality, favorable discharge disposition, complications, ventilator days, and intensive care unit (ICU) and total length of stay (LOS). Multivariable regression assessed the association between mFI-5 and outcomes, adjusting for patient demographics, hospital characteristics, injury severity, and neurosurgical intervention. RESULTS A total of 691 821 tICH admissions were analyzed. The average age was 57.6 years. 18.0% of patients were frail (mFI-5 ≥ 2). Between 2007 and 2017, the prevalence of frailty grew from 7.9% to 21.7%. Frailty was associated with increased odds of mortality (odds ratio [OR] = 1.36, P < .001) and decreased odds of favorable discharge disposition (OR = 0.72, P < .001). Frail patients exhibited an elevated rate of complications (OR = 1.06, P < .001), including unplanned return to the ICU (OR = 1.55, P < .001) and operating room (OR = 1.17, P = .003). Finally, frail patients experienced increased ventilator days (+12%, P < .001), ICU LOS (+11%, P < .001), and total LOS (+13%, P < .001). All associations with death and disposition remained significant after stratification for age, trauma severity, and neurosurgical intervention. CONCLUSION For patients with tICH, frailty predicted higher mortality and morbidity, independent of age or injury severity.
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Affiliation(s)
- Oliver Y Tang
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Belinda Shao
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Anna R Kimata
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Department of Neuroscience, Brown University, Providence, Rhode Island, USA
| | - Rahul A Sastry
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Joshua Wu
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Wael F Asaad
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Department of Neuroscience, Brown University, Providence, Rhode Island, USA.,Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence, Rhode Island, USA.,Carney Institute for Brain Science, Brown University, Providence, Rhode Island, USA
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8
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Dicpinigaitis AJ, Al-Mufti F, Bempong PO, Kazim SF, Cooper JB, Dominguez JF, Stein A, Kalakoti P, Hanft S, Pisapia J, Kinon M, Gandhi CD, Schmidt MH, Bowers CA. Prognostic Significance of Baseline Frailty Status in Traumatic Spinal Cord Injury. Neurosurgery 2022; 91:575-582. [PMID: 35944118 DOI: 10.1227/neu.0000000000002088] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/14/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Literature evaluating frailty in traumatic spinal cord injury (tSCI) is limited. OBJECTIVE To evaluate the prognostic significance of baseline frailty status in tSCI. METHODS Patients with tSCI were identified in the National Inpatient Sample from 2015 to 2018 and stratified according to frailty status, which was quantified using the 11-point modified frailty index (mFI). RESULTS Among 8825 operatively managed patients with tSCI identified (mean age 57.9 years, 27.6% female), 3125 (35.4%) were robust (mFI = 0), 2530 (28.7%) were prefrail (mFI = 1), 1670 (18.9%) were frail (mFI = 2), and 1500 (17.0%) were severely frail (mFI ≥ 3). One thousand four-hundred forty-five patients (16.4%) were routinely discharged (to home), and 320 (3.6%) died during hospitalization, while 2050 (23.3%) developed a severe complication, and 2175 (24.6%) experienced an extended length of stay. After multivariable analysis adjusting for age, illness severity, trauma burden, and other baseline covariates, frailty (by mFI-11) was independently associated with lower likelihood of routine discharge [adjusted odds ratio (aOR) 0.82, 95% CI 0.77-0.87; P < .001] and development of a severe complication (aOR 1.17, 95% CI 1.12-1.23; P < .001), but not with in-hospital mortality or extended length of stay. Subgroup analysis by age demonstrated robust associations of frailty with routine discharge in advanced age groups (aOR 0.71 in patients 60-80 years and aOR 0.69 in those older than 80 years), which was not present in younger age groups. CONCLUSION Frailty is an independent predictor of clinical outcomes after tSCI, especially among patients of advanced age. Our large-scale analysis contributes novel insights into limited existing literature on this topic.
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Affiliation(s)
| | - Fawaz Al-Mufti
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Phillip O Bempong
- School of Medicine, Meharry Medical College, Nashville, Tennessee, USA
| | - Syed Faraz Kazim
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico, USA
| | - Jared B Cooper
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Jose F Dominguez
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Alan Stein
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Piyush Kalakoti
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Simon Hanft
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Jared Pisapia
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Merritt Kinon
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Chirag D Gandhi
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Meic H Schmidt
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico, USA
| | - Christian A Bowers
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico, USA
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9
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Solou M, Ydreos I, Gavra M, Papadopoulos EK, Banos S, Boviatsis EJ, Savvanis G, Stavrinou LC. Controversies in the Surgical Treatment of Chronic Subdural Hematoma: A Systematic Scoping Review. Diagnostics (Basel) 2022; 12:2060. [PMID: 36140462 PMCID: PMC9498240 DOI: 10.3390/diagnostics12092060] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/15/2022] [Accepted: 08/22/2022] [Indexed: 11/23/2022] Open
Abstract
Chronic subdural hematoma (cSDH) is one of the most common neurosurgical entities, especially in the elderly population. Diagnosis is usually established via a head computed tomography, while an increasing number of studies are investigating biomarkers to predict the natural history of cSDH, including progression and recurrence. Surgical evacuation remains the mainstay of treatment in the overwhelming majority of cases. Nevertheless, many controversies are associated with the nuances of surgical treatment. We performed a systematic review of the literature between 2010 and 2022, aiming to identify and address the issues in cSDH surgical management where consensus is lacking. The results show ambiguous data in regard to indication, the timing and type of surgery, the duration of drainage, concomitant membranectomy and the need for embolization of the middle meningeal artery. Other aspects of surgical treatment-such as the use of drainage and its location and number of burr holes-seem to have been adequately clarified: the drainage of hematoma is strongly recommended and the outcome is considered as independent of drainage location or the number of burr holes.
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Affiliation(s)
- Mary Solou
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Ioannis Ydreos
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Maria Gavra
- Department of CT and MRI Imaging, “Agia Sofia” Hospital, 11527 Athens, Greece
| | - Evangelos K. Papadopoulos
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Stamatis Banos
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Efstathios J. Boviatsis
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Georgios Savvanis
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
| | - Lampis C. Stavrinou
- 2nd Department of Neurosurgery, “Attikon” University General Hospital, National and Kapodistrian University, Athens Medical School, 12462 Athens, Greece
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10
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Tang OY, Bajaj AI, Zhao K, Liu JK. Patient frailty association with cerebral arteriovenous malformation microsurgical outcomes and development of custom risk stratification score: an analysis of 16,721 nationwide admissions. Neurosurg Focus 2022; 53:E14. [DOI: 10.3171/2022.4.focus2285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/18/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Patient frailty is associated with poorer perioperative outcomes for several neurosurgical procedures. However, comparative accuracy between different frailty metrics for cerebral arteriovenous malformation (AVM) outcomes is poorly understood and existing frailty metrics studied in the literature are constrained by poor specificity to neurosurgery. This aim of this paper was to compare the predictive ability of 3 frailty scores for AVM microsurgical admissions and generate a custom risk stratification score.
METHODS
All adult AVM microsurgical admissions in the National (Nationwide) Inpatient Sample (2002–2017) were identified. Three frailty measures were analyzed: 5-factor modified frailty index (mFI-5; range 0–5), 11-factor modified frailty index (mFI-11; range 0–11), and Charlson Comorbidity Index (CCI) (range 0–29). Receiver operating characteristic curves were used to compare accuracy between metrics. The analyzed endpoints included in-hospital mortality, routine discharge, complications, length of stay (LOS), and hospitalization costs. Survey-weighted multivariate regression assessed frailty-outcome associations, adjusting for 13 confounders, including patient demographics, hospital characteristics, rupture status, hydrocephalus, epilepsy, and treatment modality. Subsequently, k-fold cross-validation and Akaike information criterion–based model selection were used to generate a custom 5-variable risk stratification score called the AVM-5. This score was validated in the main study population and a pseudoprospective cohort (2018–2019).
RESULTS
The authors analyzed 16,271 total AVM microsurgical admissions nationwide, with 21.0% being ruptured. The mFI-5, mFI-11, and CCI were all predictive of lower rates of routine discharge disposition, increased perioperative complications, and longer LOS (all p < 0.001). Their AVM-5 risk stratification score was calculated from 5 variables: age, hydrocephalus, paralysis, diabetes, and hypertension. The AVM-5 was predictive of decreased rates of routine hospital discharge (OR 0.26, p < 0.001) and increased perioperative complications (OR 2.42, p < 0.001), postoperative LOS (+49%, p < 0.001), total LOS (+47%, p < 0.001), and hospitalization costs (+22%, p < 0.001). This score outperformed age, mFI-5, mFI-11, and CCI for both ruptured and unruptured AVMs (area under the curve [AUC] 0.78, all p < 0.001). In a pseudoprospective cohort of 2005 admissions from 2018 to 2019, the AVM-5 remained significantly associated with all outcomes except for mortality and exhibited higher accuracy than all 3 earlier scores (AUC 0.79, all p < 0.001).
CONCLUSIONS
Patient frailty is predictive of poorer disposition and elevated complications, LOS, and costs for AVM microsurgical admissions. The authors’ custom AVM-5 risk score outperformed age, mFI-5, mFI-11, and CCI while using threefold less variables than the CCI. This score may complement existing AVM grading scales for optimization of surgical candidates and identification of patients at risk of postoperative medical and surgical morbidity.
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Affiliation(s)
- Oliver Y. Tang
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Ankush I. Bajaj
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Kevin Zhao
- Center for Skull Base and Pituitary Surgery, Neurological Institute of New Jersey, Newark, New Jersey
- Department of Neurological Surgery, New Jersey Medical School, Newark, New Jersey
- Saint Barnabas Medical Center, RWJ Barnabas Health, Livingston, New Jersey
| | - James K. Liu
- Center for Skull Base and Pituitary Surgery, Neurological Institute of New Jersey, Newark, New Jersey
- Department of Neurological Surgery, New Jersey Medical School, Newark, New Jersey
- Department of Otolaryngology–Head and Neck Surgery, New Jersey Medical School, Newark, New Jersey; and
- Saint Barnabas Medical Center, RWJ Barnabas Health, Livingston, New Jersey
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11
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Barros G, Sen RD, McGrath M, Nistal D, Sekhar LN, Kim LJ, Levitt MR. Frailty predicts postoperative functional outcomes after microsurgical resection of ruptured brain arteriovenous malformations in older patients. World Neurosurg 2022; 164:e844-e851. [DOI: 10.1016/j.wneu.2022.05.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 10/18/2022]
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12
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Stubbs DJ, Davies BM, Menon DK. Chronic subdural haematoma: the role of peri‐operative medicine in a common form of reversible brain injury. Anaesthesia 2022; 77 Suppl 1:21-33. [DOI: 10.1111/anae.15583] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2021] [Indexed: 01/08/2023]
Affiliation(s)
- D. J. Stubbs
- University Division of Anaesthesia Department of Medicine Addenbrooke’s Hospital Cambridge UK
| | - B. M. Davies
- Department of Academic Neurosurgery Addenbrooke’s Hospital Cambridge UK
| | - D. K. Menon
- University Division of Anaesthesia Department of Medicine Addenbrooke’s Hospital Cambridge UK
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13
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Holl DC, Mikolic A, Blaauw J, Lodewijkx R, Foppen M, Jellema K, van der Gaag NA, den Hertog HM, Jacobs B, van der Naalt J, Verbaan D, Kho KH, Dirven CMF, Dammers R, Lingsma HF, van Klaveren D. External validation of prognostic models predicting outcome after chronic subdural hematoma. Acta Neurochir (Wien) 2022; 164:2719-2730. [PMID: 35501576 PMCID: PMC9519711 DOI: 10.1007/s00701-022-05216-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/07/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Several prognostic models for outcomes after chronic subdural hematoma (CSDH) treatment have been published in recent years. However, these models are not sufficiently validated for use in daily clinical practice. We aimed to assess the performance of existing prediction models for outcomes in patients diagnosed with CSDH. METHODS We systematically searched relevant literature databases up to February 2021 to identify prognostic models for outcome prediction in patients diagnosed with CSDH. For the external validation of prognostic models, we used a retrospective database, containing data of 2384 patients from three Dutch regions. Prognostic models were included if they predicted either mortality, hematoma recurrence, functional outcome, or quality of life. Models were excluded when predictors were absent in our database or available for < 150 patients in our database. We assessed calibration, and discrimination (quantified by the concordance index C) of the included prognostic models in our retrospective database. RESULTS We identified 1680 original publications of which 1656 were excluded based on title or abstract, mostly because they did not concern CSDH or did not define a prognostic model. Out of 18 identified models, three could be externally validated in our retrospective database: a model for 30-day mortality in 1656 patients, a model for 2 months, and another for 3-month hematoma recurrence both in 1733 patients. The models overestimated the proportion of patients with these outcomes by 11% (15% predicted vs. 4% observed), 1% (10% vs. 9%), and 2% (11% vs. 9%), respectively. Their discriminative ability was poor to modest (C of 0.70 [0.63-0.77]; 0.46 [0.35-0.56]; 0.59 [0.51-0.66], respectively). CONCLUSIONS None of the examined models showed good predictive performance for outcomes after CSDH treatment in our dataset. This study confirms the difficulty in predicting outcomes after CSDH and emphasizes the heterogeneity of CSDH patients. The importance of developing high-quality models by using unified predictors and relevant outcome measures and appropriate modeling strategies is warranted.
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Affiliation(s)
- Dana C. Holl
- grid.5645.2000000040459992XDepartment of Neurosurgery, Erasmus Medical Centre, Erasmus MC Stroke Centre, Dr Molewaterplein 40, 3015 GD Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands ,grid.414842.f0000 0004 0395 6796Department of Neurology, Haaglanden Medical Centre, Hague, The Netherlands
| | - Ana Mikolic
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Jurre Blaauw
- grid.4494.d0000 0000 9558 4598Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Roger Lodewijkx
- Department of Neurosurgery, Amsterdam Medical Centre, Amsterdam, The Netherlands
| | - Merijn Foppen
- Department of Neurosurgery, Amsterdam Medical Centre, Amsterdam, The Netherlands
| | - Korné Jellema
- grid.414842.f0000 0004 0395 6796Department of Neurology, Haaglanden Medical Centre, Hague, The Netherlands
| | - Niels A. van der Gaag
- grid.10419.3d0000000089452978University Neurosurgical Centre Holland (UNCH), Leiden University Medical Centre, Haaglanden Medical Centre, Haga Teaching Hospital, Leiden, The Netherlands
| | - Heleen M. den Hertog
- grid.452600.50000 0001 0547 5927Department of Neurology, Isala Hospital Zwolle, Zwolle, The Netherlands
| | - Bram Jacobs
- grid.4494.d0000 0000 9558 4598Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joukje van der Naalt
- grid.4494.d0000 0000 9558 4598Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dagmar Verbaan
- Department of Neurosurgery, Amsterdam Medical Centre, Amsterdam, The Netherlands
| | - K. H. Kho
- Department of Neurosurgery, NeurocenterMedisch Spectrum Twente, Enschede, The Netherlands ,grid.6214.10000 0004 0399 8953Clinical Neurophysiology Group, University of Twente, Enschede, The Netherlands
| | - C. M. F. Dirven
- grid.5645.2000000040459992XDepartment of Neurosurgery, Erasmus Medical Centre, Erasmus MC Stroke Centre, Dr Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Ruben Dammers
- grid.5645.2000000040459992XDepartment of Neurosurgery, Erasmus Medical Centre, Erasmus MC Stroke Centre, Dr Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Hester F. Lingsma
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - David van Klaveren
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands
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14
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Mortality after chronic subdural hematoma is associated with frailty. Acta Neurochir (Wien) 2022; 164:3133-3141. [PMID: 36173514 PMCID: PMC9705486 DOI: 10.1007/s00701-022-05373-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 09/17/2022] [Indexed: 02/01/2023]
Abstract
PURPOSE Chronic subdural hematoma (CSDH) is a common neurological disease often affecting the elderly. Long-term excess mortality for patients after CSDH has been suggested but causes of death are unknown. We hypothesize that excess mortality of CSDH patients is related to frailty. In this article, we describe mortality rates and causes of death of CSDH patients compared with the general population and assess the association of frailty with mortality. METHODS A cohort study in which consecutive CSDH patients were compared to the general population regarding mortality rates. Furthermore, the association of six frailty indicators (cognitive problems, frequent falling, unable to live independently, unable to perform daily self-care, use of benzodiazepines or psychotropic drugs, and number of medications) with mortality was assessed. RESULTS A total of 1307 CSDH patients were included, with a mean age of 73.7 (SD ± 11.4) years and 958 (73%) were male. Median follow-up was 56 months (range: 0-213). Compared with controls CSDH patients had a hazard ratio for mortality of 1.34 (95% CI: 1.2-1.5). CSDH patients more often died from cardiovascular diseases (37% vs. 30%) and falls (7.2% vs. 3.7%). Among CSDH patients frequent falling (HR 1.3; 95% CI: 1.0-1.7), inability to live independently (HR 1.4, 95% CI: 1.1-1.8), inability to perform daily self-care (HR 1.5; 95% CI: 1.1-1.9), and number of medications used (HR 1.0; 95% CI: 1.0-1.1) were independently associated with mortality. CONCLUSIONS CSDH patients have higher mortality rates than the general population. Frailty in CSDH patients is associated with higher mortality risk. More attention for the frailty of CSDH patients is warranted.
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