1
|
Aikawa Y, Ogata S, Honda S, Nagai T, Murata S, Morii I, Anzai T, Nishimura K, Noguchi T. Prolonged delirium during hospitalization is associated with worse long-term and short-term outcomes in patients with acute heart failure. Int J Cardiol 2024; 399:131776. [PMID: 38216062 DOI: 10.1016/j.ijcard.2024.131776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The association between prolonged delirium during hospitalization and long-term prognosis in patients with acute heart failure (AHF) admitted to the cardiac intensive care unit (CICU) has not been fully elucidated. METHODS We conducted a prospective registry study of patients with AHF admitted to the CICU at 2 hospitals from 2013 to 2021. We divided study patients into 3 groups according to the presence or absence of delirium and prolonged delirium as follows: no delirium, resolved delirium, or prolonged delirium. Main outcomes were in-hospital mortality and 3-year mortality after discharge. RESULTS A total of 1555 patients with AHF (median age, 80 years) were included in the analysis. Of these, 406 patients (26.1%) developed delirium. We divided patients with delirium into 2 groups: the resolved delirium group (n = 201) or the prolonged delirium group (n = 205). Multivariate Cox proportional hazards models for long-term prognosis demonstrated that the prolonged delirium group had a higher incidence of all-cause death (hazard ratio [HR], 1.52; 95% CI, 1.08 to 2.14) and non-cardiovascular death (HR, 1.84; 95% CI, 1.21 to 2.78) than the resolved delirium group. Regarding in-hospital outcomes, multivariate logistic regression modeling showed that prolonged delirium is associated with all-cause death (odds ratio [OR], 9.55; 95% confidential interval [CI], 2.99 to 30.53) and cardiovascular death (OR, 13.02; 95% CI, 2.86 to 59.27) compared with resolved delirium. CONCLUSIONS Prolonged delirium is associated with worse long-term and short-term outcomes than resolved delirium in patients with AHF.
Collapse
Affiliation(s)
- Yukio Aikawa
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan; Department of Cardiology, Hokusetsu General Hospital, Takatsuki, Japan.
| | - Soshiro Ogata
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Satoshi Honda
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Toshiyuki Nagai
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Shunsuke Murata
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Isao Morii
- Department of Cardiology, Hokusetsu General Hospital, Takatsuki, Japan
| | - Toshihisa Anzai
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kunihiro Nishimura
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Teruo Noguchi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| |
Collapse
|
2
|
Lawless MT, Tieu M, Golley R, Kitson A. How and where does "care" fit within seminal life-course approaches? A narrative review and critical analysis. J Adv Nurs 2024; 80:871-883. [PMID: 37684708 DOI: 10.1111/jan.15852] [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: 05/15/2023] [Revised: 08/07/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023]
Abstract
AIMS To map the concepts of the caring life-course theory that are used in life-course approaches from different disciplines; establish whether there is a common recognition of, or language used, to describe care in those life-course approaches; and identify the role and contribution of care to the life-course literature. DESIGN This discursive paper uses a narrative review process to explore points of convergence and divergence between life-course approaches and the caring life-course theory. METHODS Categories for analysis were developed deductively and inductively, focusing on the constructs of fundamental care, capacity and capability, care network, care transition, care trajectory and care biography. RESULTS We identified four disciplinary perspectives: (1) life-course sociology; (2) life-course epidemiology; (3) lifespan developmental psychology; and (4) life-course health development. While six core constructs of the caring life-course theory were described, either explicitly or implicitly, in existing life-course approaches, no single approach fully describes the role and contribution of care across the lifespan. CONCLUSION Life-course approaches have largely neglected the contribution and role of care in informing the life-course discourse. This review highlights the significance of care beyond traditional healthcare settings and recognizes it as a fundamental human need for well-being and development, which can contribute to existing life-course literature. IMPLICATION FOR THE PROFESSION AND/OR PATIENT CARE There is a need to understand care as a complex system and embrace a whole-system, life-course approach to enable nurses and other healthcare professionals to provide high-quality, patient-centred care. IMPACT Incorporating care within a life-course approach provides opportunities to integrate and deliver care centred around the person, their life transitions, trajectories and care networks, including informal carers and healthcare professionals. NO PATIENT OR PUBLIC CONTRIBUTION Patients or members of the public were not involved in this study as it is a discursive paper based on the relevant literature.
Collapse
Affiliation(s)
- Michael T Lawless
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Matthew Tieu
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
- College of Humanities, Arts and Social Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Rebecca Golley
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Alison Kitson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| |
Collapse
|
3
|
Dolan C, Mohd Zubir M, Melvin V, McCarthy G, Meagher D, Adamis D. Delirium occurrence in older Irish adults admitted to an acute medical hospital: a prospective cohort study. Ir J Psychol Med 2023; 40:369-377. [PMID: 33455597 DOI: 10.1017/ipm.2020.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Delirium, which is associated with adverse health outcomes, is poorly detected in hospital settings. This study aimed to determine delirium occurrence among older medical inpatients and to capture associated risk factors. METHODS This prospective cohort study was performed at an Irish University Hospital. Medical inpatients 70 years and over were included. Baseline assessments within 72 hours of admission included delirium status and severity as determined by the Revised Delirium Rating Scale (DRS-R-98), cognition, physical illness severity and physical functioning. Pre-existing cognitive impairment was determined with Short Informant Questionnaire on Cognitive Decline (IQCODE). Serial assessment of delirium status, cognition and the physical illness severity were undertaken every 3 (±1) days during participants' hospital admission. RESULTS Of 198 study participants, 92 (46.5%) were women and mean age was 80.6 years (s.d. 6.81; range 70-97). Using DRS-R-98, 17.7% (n = 35) had delirium on admission and 11.6% (n = 23) had new-onset delirium during admission. In regression analysis, older age, impaired cognition and lower functional ability at admission were associated with a significant likelihood of delirium. CONCLUSIONS In this study, almost one-third of older medical inpatients in an acute hospital had delirium during admission. Findings that increasing age, impaired cognition and lower functional ability at admission were associated with increased delirium risk suggest target groups for enhanced delirium detection and prevention strategies. This may improve clinical outcomes.
Collapse
Affiliation(s)
- C Dolan
- Sligo Leitrim Mental Health Services, Ballytivnan, Sligo, Ireland
| | - M Mohd Zubir
- Sligo Leitrim Mental Health Services, Ballytivnan, Sligo, Ireland
| | - V Melvin
- Sligo Leitrim Mental Health Services, Ballytivnan, Sligo, Ireland
| | - G McCarthy
- Sligo Leitrim Mental Health Services, Ballytivnan, Sligo, Ireland
- Sligo Medical Academy, NUI Galway, The Mall, Rathquarter, Sligo, Ireland
| | - D Meagher
- Cognitive Impairment Research Group (CIRG), Graduate Entry Medical School, University of Limerick, Limerick, Ireland
| | - D Adamis
- Sligo Leitrim Mental Health Services, Ballytivnan, Sligo, Ireland
| |
Collapse
|
4
|
MacLullich AMJ, Hosie A, Tieges Z, Davis DHJ. Three key areas in progressing delirium practice and knowledge: recognition and relief of distress, new directions in delirium epidemiology and developing better research assessments. Age Ageing 2022; 51:afac271. [PMID: 36441120 PMCID: PMC9704028 DOI: 10.1093/ageing/afac271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
Delirium presents formidable challenges: it affects one in four of older hospitalised adults, greatly elevates the risk of multiple short- and long-term complications including dementia and causes significant distress. Delirium care remains generally poor. Yet, there are clear grounds for optimism; the last decade has seen impactful policy advances and a tripling of research output. Here, we highlight three linked areas which have strong potential to transform delirium practice and knowledge in the near term. Delirium-related distress is strikingly underrepresented in practice guidance and research. Proactive recognition combined with effective clinical responses based on good communication provides a critical and largely untapped opportunity to improve care. Delirium epidemiology research is well positioned to produce novel insights through advanced prospective designs in populations such as emergency medical patients with detailed pre-, intra- and post-delirium assessments allied with fluid, imaging and other biomarkers. Research-grade assessment of delirium currently involves a chaotic array of tools, methods and diagnostic algorithms. Areas for development: expand and analytically distinguish the range of features assessed (including distress), optimise feature assessment including use of validated neuropsychological tests where possible, produce standardised algorithms which articulate explicit pathways from features to diagnosis, and create new fine-grained approaches to the measurement of severity. Delirium practice and knowledge show accelerating growth. This is encouraging but much of the necessary progress is still to come. Innovation in these three highlighted areas, as well as many others, will open up exciting possibilities in enhancing the care of patients with this common and often devastating condition.
Collapse
Affiliation(s)
- Alasdair M J MacLullich
- Edinburgh Delirium Research Group, Ageing and Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Annmarie Hosie
- School of Nursing and Midwifery, The University of Notre Dame Australia, Darlinghurst, NSW, Australia
- The Cunningham Centre for Palliative Care, St Vincent’s Health Network Sydney, Darlinghurst, NSW, Australia
- IMPACCT – Improving Palliative, Aged and Chronic Care through Research and Translation, University of Technology Sydney, Ultimo, NSW, Australia
| | - Zoë Tieges
- Edinburgh Delirium Research Group, Ageing and Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- SMART Technology Centre, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow, UK
| | - Daniel H J Davis
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| |
Collapse
|
5
|
Moura LM, Zafar S, Benson NM, Festa N, Price M, Donahue MA, Normand SL, Newhouse JP, Blacker D, Hsu J. Identifying Medicare Beneficiaries With Delirium. Med Care 2022; 60:852-859. [PMID: 36043702 PMCID: PMC9588515 DOI: 10.1097/mlr.0000000000001767] [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: 01/28/2023]
Abstract
BACKGROUND Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to identify patients with delirium when using Medicare claims data or other large datasets. We developed and assessed the performance of classification algorithms based on longitudinal Medicare administrative data that included International Classification of Diseases, 10th Edition diagnostic codes. METHODS Using a linked electronic health record (EHR)-Medicare claims dataset, 2 neurologists and 2 psychiatrists performed a standardized review of EHR records between 2016 and 2018 for a stratified random sample of 1002 patients among 40,690 eligible subjects. Reviewers adjudicated delirium status (reference standard) during this 3-year window using a structured protocol. We calculated the probability that each patient had delirium as a function of classification algorithms based on longitudinal Medicare claims data. We compared the performance of various algorithms against the reference standard, computing calibration-in-the-large, calibration slope, and the area-under-receiver-operating-curve using 10-fold cross-validation (CV). RESULTS Beneficiaries had a mean age of 75 years, were predominately female (59%), and non-Hispanic Whites (93%); a review of the EHR indicated that 6% of patients had delirium during the 3 years. Although several classification algorithms performed well, a relatively simple model containing counts of delirium-related diagnoses combined with patient age, dementia status, and receipt of antipsychotic medications had the best overall performance [CV- calibration-in-the-large <0.001, CV-slope 0.94, and CV-area under the receiver operating characteristic curve (0.88 95% confidence interval: 0.84-0.91)]. CONCLUSIONS A delirium classification model using Medicare administrative data and International Classification of Diseases, 10th Edition diagnosis codes can identify beneficiaries with delirium in large datasets.
Collapse
Affiliation(s)
- Lidia M.V.R. Moura
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sahar Zafar
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nicole M. Benson
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Natalia Festa
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Mary Price
- Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Maria A. Donahue
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sharon-Lise Normand
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Joseph P. Newhouse
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Harvard Kennedy School, Cambridge, Massachusetts
- National Bureau of Economic Research, Cambridge, Massachusetts
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - John Hsu
- Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
6
|
Whitby J, Nitchingham A, Caplan G, Davis D, Tsui A. Persistent delirium in older hospital patients: an updated systematic review and meta-analysis. DELIRIUM (BIELEFELD, GERMANY) 2022; 1:36822. [PMID: 36936539 PMCID: PMC7614331 DOI: 10.56392/001c.36822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction Delirium is associated with future dementia progression. Yet whether this occurs subclinically over months and years, or persistent delirium merges into worsened dementia is not understood. Our objective was to estimate the prevalence of persistent delirium and understand variation in its duration. Methods We adopted an identical search strategy to a previous systematic review, only including studies using a recognised diagnostic framework for ascertaining delirium at follow-up (persistent delirium). Studies included hospitalised older patients outside critical and palliative care settings. We searched MEDLINE, EMBASE, PsycINFO and the Cochrane Database of Systematic Reviews on 11th January 2022. We applied risk of bias assessments based on Standards of Reporting of Neurological Disorders criteria and assessed strength of recommendations using the grading of recommendation, assessment, development and evaluation (GRADE) approach. Estimates were pooled across studies using random-effects meta-analysis, and we estimated associations with follow-up duration using robust error meta-regression. Results We identified 13 new cohorts, which we added to 10 from the previous systematic review (23 relevant studies, with 39 reports of persistent delirium at 7 time-points in 3186 individuals admitted to hospital care (mean age 82 years and 41% dementia prevalence). Studies were mainly at moderate risk of bias. Pooled delirium prevalence estimates at discharge were 36% (95% CI 22% to 51%, 13 studies). Robust error meta-regression did not show variation in prevalence of persistent delirium over time (-1.6% per month, 95% CI -4.8 to 1.6, p=0.08). Margins estimates for this model indicate a prevalence of persistent delirium of 16% (95% CI 6% to 25%) at 12 months. Conclusions This systematic review emphasises the importance of delirium as a persistent and extensive problem (GRADE certainty = moderate), raising questions on chronic delirium as a clinical entity and how it might evolve into dementia. Addressing persistent delirium will require a whole-system, integrated approach to detect, follow-up and implement opportunities for recovery across all healthcare settings.
Collapse
Affiliation(s)
- Jonathan Whitby
- MRC Unit for Lifelong Health and Ageing, University College London
| | | | - Gideon Caplan
- The Prince of Wales Clinical School, University of New South Wales
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing, University College London
| | - Alex Tsui
- MRC Unit for Lifelong Health and Ageing, University College London
| |
Collapse
|
7
|
Persistent viral RNA shedding of SARS-CoV-2 is associated with delirium incidence and six-month mortality in hospitalized COVID-19 patients. GeroScience 2022; 44:1241-1254. [PMID: 35538386 PMCID: PMC9090540 DOI: 10.1007/s11357-022-00561-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 03/17/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Persistent viral RNA shedding of SARS-CoV-2 following COVID-19 has increasingly been recognized, with limited understanding of its implications on outcomes in hospitalized COVID-19 patients. METHODS We retrospectively assessed for persistent viral shedding across Northwestern Medicine Healthcare (NMHC) patients between March and August 2020. We assessed for predictors of persistent viral shedding, in-hospital delirium, and six-month mortality using binary logistic regression. RESULTS Of the 2,518 hospitalized patients with an RT-PCR-confirmed diagnosis of COVID-19, 959 underwent repeat SARS-CoV-2 RT-PCR at least fourteen days from initial positive testing. Of those, 405 (42.2%) patients were found to have persistent viral shedding. Persistent viral shedding was associated with male sex, increased BMI, diabetes mellitus, chronic kidney disease, and exposure to corticosteroids during initial COVID-19 hospitalization. Persistent viral shedding was independently associated with incidence of in-hospital delirium after adjusting for factors including severity of respiratory dysfunction (OR 2.45; 95% CI 1.75, 3.45). Even after adjusting for age, severity of respiratory dysfunction, and occurrence of in-hospital delirium, persistent viral shedding remained significantly associated with increased six-month mortality (OR 2.43; 95% CI 1.42, 4.29). CONCLUSIONS Persistent viral shedding occurs frequently in hospitalized COVID-19 patients and is associated with in-hospital delirium and increased six-month mortality.
Collapse
|
8
|
Hall AJ, Clement ND, Ojeda-Thies C, MacLullich AMJ, Toro G, Johansen A, White TO, Duckworth AD, Abdul-Jabar H, Abu-Rajab R, Abugarja A, Adam K, Aguado Hernández HJ, Améstica Lazcano G, Anderson S, Ansar M, Antrobus J, Aragón Achig EJ, Archunan M, Arrieta Salinas M, Ashford-Wilson S, Assens Gibert C, Athanasopoulou K, Awadelkarim M, Baird S, Bajada S, Balakrishnan S, Balasubramanian S, Ballantyne JA, Bárcena Goitiandia L, Barkham B, Barmpagianni C, Barres-Carsi M, Barrett S, Baskaran D, Bell J, Bell K, Bell S, Bellelli G, Benchimol JA, Boietti BR, Boswell S, Braile A, Brennan C, Brent L, Brooke B, Bruno G, Burahee A, Burns S, Calabrò G, Campbell L, Carabelli GS, Carnegie C, Carretero Cristobal G, Caruana E, Cassinello Ogea MC, Castellanos Robles J, Castillon P, Chakrabarti A, Cecere AB, Chen P, Clarke JV, Collins G, Corrales Cardenal JE, Corsi M, Cózar Adelantado GM, Craxford S, Crooks M, Cuarental-García J, Cuthbert R, Dall G, Daskalakis I, De Cicco A, Diana DLFDD, Demaria P, Dereix J, Díaz Jiménez J, Dinamarca Montecinos JL, Do Le HP, Donoso Coppa JP, Drosos G, Duffy A, East J, Eastwood D, Elbahari H, Elias de Molins Peña C, Elmamoun M, Emmerson B, Escobar Sánchez D, Faimali M, Farré-Mercadé MV, Farrow L, Fayez A, Fell A, Fenner C, Ferguson D, Finlayson L, Flores Gómez A, Freeman N, French J, Gabardo Calvo S, Gagliardo N, Garcia Albiñana J, García Cruz G, García de Cortázar Antolín U, García Virto V, Gealy S, Gil Caballero SM, Gill M, González González MS, Gopireddy R, Guntley D, Gurung B, Guzmán Rosales G, Haddad N, Hafeez M, Haller P, Halligan E, Hardie J, Hawker I, Helal A, Herrera Cruz M, Herreros Ruiz-Valdepeñas R, Horton J, Howells S, Howieson A, Hughes L, Hünicken Torrez FL, Hurtado Ortega A, Huxley P, Hamid HK, Ilahi N, Iliadis A, Inman D, Jadhao P, Jandoo R, Jawad L, Jayatilaka MLT, Jenkins PJ, Jeyapalan R, Johnson D, Johnston A, Joseph S, Kapoor S, Karagiannidis G, Karanam KS, Kattakayam F, Konarski A, Kontakis G, Labrador Hernández G, Lancaster V, Landi G, Le B, Liew I, Logishetty K, Lopez Marquez ACD, Lopez J, Lum J, Macpherson GJ, Madan S, Mahroof S, Malik-Tabassum K, Mallina R, Maqsood A, Marson B, Martin Legorburo MJ, Martin-Perez E, Martínez Jiménez T, Martinez Martin J, Mayne A, Mayor A, McAlinden G, McLean L, McDonald L, McIntyre J, McKay P, McKean G, McShane H, Medici A, Meeke C, Meldrum E, Mendez M, Mercer S, Merino Perez J, Mesa-Lampré MP, Mighton S, Milne K, Mohamed Yaseen M, Moppett I, Mora J, Morales-Zumel S, Moreno Fenoll IB, Mousa A, Murray AW, Murray EV, Nair R, Neary F, Negri G, Negus O, Newham-Harvey F, Ng N, Nightingale J, Noor Mohamed Anver S, Nunag P, O'Hare M, Ollivere B, Ortés Gómez R, Owens A, Page S, Palloni V, Panagiotopoulos A, Panagiotopoulos E, Panesar P, Papadopoulos A, Spyridon P, Pareja Sierra T, Park C, Parwaiz H, Paterson-Byrne P, Patton S, Pearce J, Porter M, Pellegrino A, Pèrez Cuellar A, Pezzella R, Phadnis A, Pinder C, Piper D, Powell-Bowns M, Prieto Martín R, Probert A, Ramesh A, Ramírez de Arellano MVM, Renton D, Rickman S, Robertson A, Roche Albero A, Rodrigo Verguizas JA, Rodríguez Couso M, Rooney J, Sáez-López P, Saldaña-Díaz A, Santulli A, Sanz Pérez MI, Sarraf KM, Scarsbrook C, Scott CE, Scott J, Shah S, Sharaf S, Sharma S, Shirley D, Siano A, Simpson J, Singh A, Singh A, Sinnett T, Sisodia G, Smith P, Sophena Bert E, Steel M, Stewart A, Stewart C, Sugand K, Sullivan N, Sweeting L, Symes M, Tan DJH, Tancredi F, Tatani I, Thomas P, Thomson F, Toner NS, Tong A, Toro A, Tosounidis T, Tottas S, Trinidad Leo A, Tucker D, Vemulapalli K, Ventura Garces D, Vernon OK, Viveros Garcia JC, Ward A, Ward K, Watson K, Weerasuriya T, Wickramanayake U, Wilkinson H, Windley J, Wood J, Wynell-Mayow W, Zatti G, Zeiton M, Zurrón Lobato M. IMPACT-Global Hip Fracture Audit: Nosocomial infection, risk prediction and prognostication, minimum reporting standards and global collaborative audit. Lessons from an international multicentre study of 7,090 patients conducted in 14 nations during the COVID-19 pandemic. Surgeon 2022; 20:e429-e446. [PMID: 35430111 PMCID: PMC8958101 DOI: 10.1016/j.surge.2022.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/06/2022] [Accepted: 02/11/2022] [Indexed: 11/16/2022]
Abstract
Aims This international study aimed to assess: 1) the prevalence of preoperative and postoperative COVID-19 among patients with hip fracture, 2) the effect on 30-day mortality, and 3) clinical factors associated with the infection and with mortality in COVID-19-positive patients. Methods A multicentre collaboration among 112 centres in 14 countries collected data on all patients presenting with a hip fracture between 1st March-31st May 2020. Demographics, residence, place of injury, presentation blood tests, Nottingham Hip Fracture Score, time to surgery, management, ASA grade, length of stay, COVID-19 and 30-day mortality status were recorded. Results A total of 7090 patients were included, with a mean age of 82.2 (range 50–104) years and 4959 (69.9%) being female. Of 651 (9.2%) patients diagnosed with COVID-19, 225 (34.6%) were positive at presentation and 426 (65.4%) were positive postoperatively. Positive COVID-19 status was independently associated with male sex (odds ratio (OR) 1.38, p = 0.001), residential care (OR 2.15, p < 0.001), inpatient fall (OR 2.23, p = 0.003), cancer (OR 0.63, p = 0.009), ASA grades 4 (OR 1.59, p = 0.008) or 5 (OR 8.28, p < 0.001), and longer admission (OR 1.06 for each increasing day, p < 0.001). Patients with COVID-19 at any time had a significantly lower chance of 30-day survival versus those without COVID-19 (72.7% versus 92.6%, p < 0.001). COVID-19 was independently associated with an increased 30-day mortality risk (hazard ratio (HR) 2.83, p < 0.001). Increasing age (HR 1.03, p = 0.028), male sex (HR 2.35, p < 0.001), renal disease (HR 1.53, p = 0.017), and pulmonary disease (HR 1.45, p = 0.039) were independently associated with a higher 30-day mortality risk in patients with COVID-19 when adjusting for confounders. Conclusion The prevalence of COVID-19 in hip fracture patients during the first wave of the pandemic was 9%, and was independently associated with a three-fold increased 30-day mortality risk. Among COVID-19-positive patients, those who were older, male, with renal or pulmonary disease had a significantly higher 30-day mortality risk.
Collapse
|
9
|
Pistacchi M, Gioulis M, Marsala SZ. Association between delirium and cognitive impairment: there is a link? Curr Alzheimer Res 2022; 19:47-55. [PMID: 35048808 DOI: 10.2174/1567205019666220120114552] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/15/2021] [Accepted: 12/27/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Delirium and dementia are both disorders involving global cognitive impairment that can occur separately or at the same time in the elderly. OBJECTIVE The aim of this study was to examine the frequency, correlation and relative risk between delirium and cognitive impairment in a prospective population study starting at basal line (onset of delirium) over a period of five years. The secondary aim was to determine any possible correlation between the kind of delirium and a specific type of dementia. MATERIAL AND METHODS We studied 325 patients, diagnosed according to the DSM-IV. The neuropsychological, moods and delirium disorders were evaluated with Hamilton Depression Rating Scale, Delirium Rating Scale-Revised-98, MMSE, Rey auditory-verbal learning test, Digit Span, Symbol Digit Modalities Test, Raven Progressive Matrices, ADL and IADL. RESULTS The prevalence of delirium in our population was 89 cases (27.4%): 78 patients (48 women and 30 men) showed evolution toward dementia (mean age was 67.9 ± 6.1 years for men and 68.4 ± 9.1 for women), and 11 patients (5 men and 6 women) presented only isolated delirium without evolution toward cognitive impairment (mean age of men was 68.1 ± 5.1 years and of women 66.4 ± 7.1). The neuropsychological study of the patients with delirium with dementia evolution revealed statistically significant differences over time with statistically significant intergroup difference and predisposition toward depression. CONCLUSION The association between delirium and cognitive impairment and the possible role of delirium as an early marker of neurodegenerative diseases need to be future investigated.
Collapse
Affiliation(s)
- Michele Pistacchi
- Neurology Service, San Giacomo Hospital, Via dei Carpani 16z, 31033 Castelfranco Veneto (TV), Italy
| | - Manuela Gioulis
- San Martino Hospital, Belluno, Neurology Service, viale europa 22 Belluno, Italy
| | - Sandro Zambito Marsala
- Department od Neurology, Ospedale San Martino, Neurology Service, viale europa 22 Belluno, Italy
| |
Collapse
|
10
|
Arbabi M, Dezhdar Z, Amini B, Dehnavi AZ, Ghasemi M. Depression and anxiety increase the odds of developing delirium in ICU patients; a prospective observational study. Cogn Neuropsychiatry 2022; 27:1-10. [PMID: 34676803 DOI: 10.1080/13546805.2021.1991295] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Delirium is prevalent among hospitalised patients, especially in critically ill patients. Preventing delirium by recognising its modifiable risk factors could improve life quality, decrease mortality and restrain its devastating consequences. METHOD We investigated 50 patients who had been hospitalised in the general ICU and monitored them for developing delirium. We employed CAM and CAM-ICU Scales to assess delirium, RASS score to determine the consciousness level, HADS questionnaire for anxiety and depression, and the demographic data questionnaire. RESULTS We found that 20% of ICU patients developed delirium and found a meaningful correlation between the incident delirium, older ages, visual impairment, and higher anxiety and depression scores (HADS) of first and second days of hospitalisation. By utilising logistic regression, we found that older ages, visual impairment, higher anxiety and depression scores (HADS) of the first day of hospitalisation were statistically significant to predict the risk model of developing delirium. CONCLUSION Depressive and anxiety symptoms were associated with higher odds of transitioning to delirium; so, at the admission time, it may be useful to screen patients for the symptoms of affective disorders, particularly, who are at higher risks for developing delirium.
Collapse
Affiliation(s)
- Mohammad Arbabi
- Brain & Spinal Cord Injury Research Centre, Tehran University of Medical Sciences, Tehran, Iran.,Psychosomatic Medicine Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Behnam Amini
- Tehran University of Medical Science, Tehran, Iran
| | | | | |
Collapse
|
11
|
DeMaagd GA, DeMaagd DR, Philip A, Coalter CF. Delirium and Its Pharmacological Causes in Older People, Part 1. Sr Care Pharm 2021; 36:477-488. [PMID: 34593089 DOI: 10.4140/tcp.n.2021.477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Delirium is a syndrome that can arise from many causes or underlying conditions, and though it has been reported in younger patients, it is more prevalent in older people, though it can occur in other age groups as well. Identifying delirium is challenging in older people because of the coexistence of underlying dementia or depression, which may further complicate the presentation. Drug-induced delirium is one of the major causes of delirium, and evaluation of this potential cause or contribution is an important component of the evaluation process, since it can lead to poor patient outcomes. This article will review the epidemiology, pathophysiology, evaluation, diagnostic process, and causes of delirium in older people, with a focus on the pharmacological causes.
Collapse
Affiliation(s)
| | | | - Ashok Philip
- Union University College of Pharmacy, Jackson, Tennessee
| | | |
Collapse
|
12
|
Bowman EML, Cunningham EL, Page VJ, McAuley DF. Phenotypes and subphenotypes of delirium: a review of current categorisations and suggestions for progression. Crit Care 2021; 25:334. [PMID: 34526093 PMCID: PMC8441952 DOI: 10.1186/s13054-021-03752-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 08/31/2021] [Indexed: 02/08/2023] Open
Abstract
Delirium is a clinical syndrome occurring in heterogeneous patient populations. It affects 45-87% of critical care patients and is often associated with adverse outcomes including acquired dementia, institutionalisation, and death. Despite an exponential increase in delirium research in recent years, the pathophysiological mechanisms resulting in the clinical presentation of delirium are still hypotheses. Efforts have been made to categorise the delirium spectrum into clinically meaningful subgroups (subphenotypes), using psychomotor subtypes such as hypoactive, hyperactive, and mixed, for example, and also inflammatory and non-inflammatory delirium. Delirium remains, however, a constellation of symptoms resulting from a variety of risk factors and precipitants with currently no successful targeted pharmacological treatment. Identifying specific clinical and biological subphenotypes will greatly improve understanding of the relationship between the clinical symptoms and the putative pathways and thus risk factors, precipitants, natural history, and biological mechanism. This will facilitate risk factor mitigation, identification of potential methods for interventional studies, and informed patient and family counselling. Here, we review evidence to date and propose a framework to identify subphenotypes. Endotype identification may be done by clustering symptoms with their biological mechanism, which will facilitate research of targeted treatments. In order to achieve identification of delirium subphenotypes, the following steps must be taken: (1) robust records of symptoms must be kept at a clinical level. (2) Global collaboration must facilitate large, heterogeneous research cohorts. (3) Patients must be clustered for identification, validation, and mapping of subphenotype stability.
Collapse
Affiliation(s)
- Emily M L Bowman
- Centre for Public Health, Block B, Institute of Clinical Sciences, Royal Victoria Hospital Site, Queen's University Belfast, Grosvenor Road, Belfast, BT12 6BA, Northern Ireland.
| | - Emma L Cunningham
- Centre for Public Health, Block B, Institute of Clinical Sciences, Royal Victoria Hospital Site, Queen's University Belfast, Grosvenor Road, Belfast, BT12 6BA, Northern Ireland
| | - Valerie J Page
- Department of Anaesthetics, Watford General Hospital, Vicarage Road, Watford, WD19 4DZ, UK
| | - Daniel F McAuley
- Centre for Experimental Medicine, Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, Northern Ireland
| |
Collapse
|
13
|
Moura Junior V, Westover MB, Li F, Kimchi E, Kennedy M, Benson NM, Moura LM, Hsu J. Hospital complications among older adults: Better processes could reduce the risk of delirium. Health Serv Manage Res 2021; 35:154-163. [PMID: 34247525 DOI: 10.1177/09514848211028707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Using observational data and variation in hospital admissions across days of the week, we examined the association between ED boarding time and development of delirium within 72 hours of admission among patients aged 65+ years admitted to an inpatient neurology ward. We exploited a natural experiment created by potentially exogenous variation in boarding time across days of the week because of competition for the neurology floor beds. Using proportional hazard models adjusting for socio-demographic and clinical characteristics in a propensity score, we examined the time to delirium onset among 858 patients: 2/3 were admitted for stroke, with the remaining admitted for another acute neurologic event. Among all patients, 81.2% had at least one delirium risk factor in addition to age. All eligible patients received delirium prevention protocols upon admission to the floor and received at least one delirium screening event. While the clinical and social-demographic characteristics of admitted patients were comparable across days of the week, patients with ED arrival on Sunday or Tuesday were more likely to have had delayed floor admission (waiting time greater than 13 hours) and delirium (adjusted HR = 1.54, 95%CI:1.37-1.75). Delayed initiation of delirium prevention protocol appeared to be associated with greater risk of delirium within the initial 72 hours of a hospital admission.
Collapse
Affiliation(s)
- Valdery Moura Junior
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.,Department of Management, Cass Business School, City, University of London, London, UK
| | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Feng Li
- Department of Management, Cass Business School, City, University of London, London, UK
| | - Eyal Kimchi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Maura Kennedy
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Nicole M Benson
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.,McLean Hospital, Harvard Medical School, Belmont, MA
| | - Lidia Maria Moura
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John Hsu
- Department of Medicine and Health Policy, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| |
Collapse
|
14
|
Richardson SJ, Davis DHJ, Stephan BCM, Robinson L, Brayne C, Barnes LE, Taylor JP, Parker SG, Allan LM. Recurrent delirium over 12 months predicts dementia: results of the Delirium and Cognitive Impact in Dementia (DECIDE) study. Age Ageing 2021; 50:914-920. [PMID: 33320945 PMCID: PMC8099011 DOI: 10.1093/ageing/afaa244] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Indexed: 11/19/2022] Open
Abstract
Background Delirium is common, distressing and associated with poor outcomes. Previous studies investigating the impact of delirium on cognitive outcomes have been limited by incomplete ascertainment of baseline cognition or lack of prospective delirium assessments. This study quantified the association between delirium and cognitive function over time by prospectively ascertaining delirium in a cohort aged ≥ 65 years in whom baseline cognition had previously been established. Methods For 12 months, we assessed participants from the Cognitive Function and Ageing Study II-Newcastle for delirium daily during hospital admissions. At 1-year, we assessed cognitive decline and dementia in those with and without delirium. We evaluated the effect of delirium (including its duration and number of episodes) on cognitive function over time, independently of baseline cognition and illness severity. Results Eighty two of 205 participants recruited developed delirium in hospital (40%). One-year outcome data were available for 173 participants: 18 had a new dementia diagnosis, 38 had died. Delirium was associated with cognitive decline (−1.8 Mini-Mental State Examination points [95% CI –3.5 to –0.2]) and an increased risk of new dementia diagnosis at follow up (OR 8.8 [95% CI 1.9–41.4]). More than one episode and more days with delirium (>5 days) were associated with worse cognitive outcomes. Conclusions Delirium increases risk of future cognitive decline and dementia, independent of illness severity and baseline cognition, with more episodes associated with worse cognitive outcomes. Given that delirium has been shown to be preventable in some cases, we propose that delirium is a potentially modifiable risk factor for dementia.
Collapse
Affiliation(s)
- Sarah J Richardson
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Daniel H J Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London WC1E 7HB, UK
| | - Blossom C M Stephan
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham NG7 2TU, UK
| | - Louise Robinson
- Institute of Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Biomedical Research Building, Newcastle upon Tyne NE4 5PL, UK
| | - Carol Brayne
- Cambridge Public Health, Cambridge Institute of Public Health, University of Cambridge, Cambridge CB2 0SR, UK
| | - Linda E Barnes
- Cambridge Public Health, Cambridge Institute of Public Health, University of Cambridge, Cambridge CB2 0SR, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Stuart G Parker
- Institute of Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Biomedical Research Building, Newcastle upon Tyne NE4 5PL, UK
| | - Louise M Allan
- College of Medicine and Health, South Cloisters, University of Exeter, Exeter EX1 2LU, UK
| |
Collapse
|
15
|
[Descriptive study of delirium in the emergency department]. Aten Primaria 2021; 53:102042. [PMID: 33839636 PMCID: PMC8055560 DOI: 10.1016/j.aprim.2021.102042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/16/2020] [Accepted: 11/28/2020] [Indexed: 11/25/2022] Open
Abstract
Objetivo Conocer mejor las variables clínicas, funcionales y analíticas que se asocian al síndrome confusional agudo (SCA) en urgencias y la evolución de las mismas con el fin de obtener una mejora en el abordaje terapéutico del paciente anciano previniendo así la morbimortalidad en este tipo de pacientes. Diseño Se trata de un estudio descriptivo prospectivo de SCA en urgencias. Emplazamiento Hospital General Universitario de Ciudad Real. Participantes Se incluyó, en el intervalo de las 24 h siguientes al ingreso en el Servicio de Geriatría, a todos los pacientes procedentes del Servicio de Urgencias con diagnóstico de SCA. Mediciones principales Se realizó un análisis de las variables del conjunto de datos (variables sociodemográficas y clínicas), calculando tablas de frecuencias para variables de tipo cualitativo y estadísticos descriptivos para las variables cuantitativas. Posteriormente, se han empleado técnicas de inferencia estadística. Resultados El antecedente médico más frecuente fueron la enfermedad neurológica y la HTA, seguida de las enfermedades reumatológicas. Los motivos de consulta principales fueron el deterioro del estado general, la disnea, la disminución del nivel de consciencia y la fiebre. Se debe destacar la incidencia de la polifarmacia, especialmente de fármacos como los diuréticos, benzodiacepinas o hipnóticos. En relación con la etiología principal, destaca el papel de las infecciones de tipo urinario y respiratorio. Conclusiones Se destaca el papel fundamental de las enfermedades neurológicas (especialmente la demencia), la HTA, la polifarmacia (uso inadecuado de benzodiacepinas e hipnóticos) y las infecciones urinarias y respiratorias como factores tratables o prevenibles del delirium en el paciente de Atención Primaria en nuestro medio.
Collapse
|
16
|
Mitchell G, Scott J, Carter G, Wilson CB. Evaluation of a delirium awareness podcast for undergraduate nursing students in Northern Ireland: a pre-/post-test study. BMC Nurs 2021; 20:20. [PMID: 33441119 PMCID: PMC7804906 DOI: 10.1186/s12912-021-00543-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 01/06/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Delirium is a common disorder affecting several people in primary, secondary, and tertiary settings. The condition is frequently under-diagnosed leading to long-lasting physical and cognitive impairment or premature death. Despite this, there has been limited research on the impact of innovative approaches to delirium education amongst undergraduate nursing students. The aim of this study was to evaluate the effect of a delirium awareness podcast on undergraduate nursing student knowledge and confidence related to the condition in Northern Ireland. METHODS The intervention was a 60-min delirium awareness podcast, available throughout May 2020, to a convenience sample of year one undergraduate nursing students (n = 320) completing a BSc Honours Nursing degree programme in a Northern Ireland University. The podcast focused on how nursing students could effectively recognise, manage, and prevent delirium. Participants had a period of 4 weeks to listen to the podcast and complete the pre and post questionnaires. The questionnaires were comprised of a 35-item true-false Delirium Knowledge Questionnaire (DKQ), a 3-item questionnaire about professional confidence and a 7-item questionnaire evaluating the use of podcasting as an approach to promote knowledge and confidence about delirium. Data were analysed using paired t-tests and descriptive statistics. RESULTS Students improved across all three core areas in the post-test questionnaire, demonstrating improvements in knowledge about symptoms of delirium (7.78% increase), causes and risk factors of delirium (13.34% increase) and management of delirium (12.81% increase). In relation to perceived confidence, students reported a 46.50% increase in confidence related to recognition of delirium, a 48.32% increase in relation to delirium management and a 50.71% increase their ability to communicate about delirium. Both questionnaires were statistically significant (P < 0.001). The final questionnaire illustrated that nursing students positively evaluated the use of podcast for promoting their knowledge and confidence about delirium and 96.32% of nursing students believed that the podcast met their learning needs about delirium. CONCLUSIONS A 60-min podcast on delirium improved first year student nurse knowledge about delirium. Nursing students also expressed that this approach to delirium education was effective in their learning about the condition.
Collapse
Affiliation(s)
- Gary Mitchell
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, Belfast, County Antrim BT9 7BL Northern Ireland
| | - Jessica Scott
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, Belfast, County Antrim BT9 7BL Northern Ireland
| | - Gillian Carter
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, Belfast, County Antrim BT9 7BL Northern Ireland
| | - Christine Brown Wilson
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, Belfast, County Antrim BT9 7BL Northern Ireland
| |
Collapse
|
17
|
FitzGerald JM, Price A. Delirium in the acute hospital setting: the role of psychiatry. BJPSYCH ADVANCES 2021. [DOI: 10.1192/bja.2020.44] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
SUMMARYIn this overview we discuss the role of psychiatry in managing delirium in acute hospital admissions. We briefly discuss the role psychiatry can offer in four main domains: (a) assessment; (b) management; (c) recovery; and (d) paradigm, education and research. In the assessment section we discuss accurately detecting delirium in the context of comorbid mixed neuropsychiatric syndromes, including depression and dementia, and the clinical importance of delirium subtyping. The management section briefly outlines pharmacological and non-pharmacological approaches to delirium and their evidence-based rationale. The recovery section focuses on the effect delirium can have on cognitive decline, mental health and long-term health, including functional outcome and need for institutional care after hospital discharge. Finally, we outline the role of psychiatry in delirium research and education. We hope that this article will encourage clinicians to reflect on their current practice and consider holistic and evidence-based care for this vulnerable population in the acute hospital setting.
Collapse
|
18
|
Wilson JE, Mart MF, Cunningham C, Shehabi Y, Girard TD, MacLullich AMJ, Slooter AJC, Ely EW. Delirium. Nat Rev Dis Primers 2020; 6:90. [PMID: 33184265 PMCID: PMC9012267 DOI: 10.1038/s41572-020-00223-4] [Citation(s) in RCA: 466] [Impact Index Per Article: 116.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 02/06/2023]
Abstract
Delirium, a syndrome characterized by an acute change in attention, awareness and cognition, is caused by a medical condition that cannot be better explained by a pre-existing neurocognitive disorder. Multiple predisposing factors (for example, pre-existing cognitive impairment) and precipitating factors (for example, urinary tract infection) for delirium have been described, with most patients having both types. Because multiple factors are implicated in the aetiology of delirium, there are likely several neurobiological processes that contribute to delirium pathogenesis, including neuroinflammation, brain vascular dysfunction, altered brain metabolism, neurotransmitter imbalance and impaired neuronal network connectivity. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) is the most commonly used diagnostic system upon which a reference standard diagnosis is made, although many other delirium screening tools have been developed given the impracticality of using the DSM-5 in many settings. Pharmacological treatments for delirium (such as antipsychotic drugs) are not effective, reflecting substantial gaps in our understanding of its pathophysiology. Currently, the best management strategies are multidomain interventions that focus on treating precipitating conditions, medication review, managing distress, mitigating complications and maintaining engagement to environmental issues. The effective implementation of delirium detection, treatment and prevention strategies remains a major challenge for health-care organizations globally.
Collapse
Affiliation(s)
- Jo Ellen Wilson
- Center for Critical Illness, Brain Dysfunction, and Survivorship (CIBS), Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Psychiatry and Behavioral Sciences, Division of General Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Matthew F Mart
- Center for Critical Illness, Brain Dysfunction, and Survivorship (CIBS), Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Colm Cunningham
- School of Biochemistry & Immunology, Trinity Biomedical Sciences Institute & Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Republic of Ireland
| | - Yahya Shehabi
- Monash Health School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
- Prince of Wales Clinical School of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Timothy D Girard
- Center for Critical Illness, Brain Dysfunction, and Survivorship (CIBS), Vanderbilt University Medical Center, Nashville, TN, USA
- Clinical Research, Investigation, and Systems Modeling of Acute Illness Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Alasdair M J MacLullich
- Edinburgh Delirium Research Group, Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK
| | - Arjen J C Slooter
- Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - E Wesley Ely
- Center for Critical Illness, Brain Dysfunction, and Survivorship (CIBS), Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
- Veteran's Affairs TN Valley, Geriatrics Research, Education and Clinical Center (GRECC), Nashville, TN, USA
| |
Collapse
|
19
|
Gibb K, Seeley A, Quinn T, Siddiqi N, Shenkin S, Rockwood K, Davis D. The consistent burden in published estimates of delirium occurrence in medical inpatients over four decades: a systematic review and meta-analysis study. Age Ageing 2020; 49:352-360. [PMID: 32239173 PMCID: PMC7187871 DOI: 10.1093/ageing/afaa040] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Delirium is associated with a wide range of adverse patient safety outcomes, yet it remains consistently under-diagnosed. We undertook a systematic review of studies describing delirium in adult medical patients in secondary care. We investigated if changes in healthcare complexity were associated with trends in reported delirium over the last four decades. METHODS We used identical criteria to a previous systematic review, only including studies using internationally accepted diagnostic criteria for delirium (the Diagnostic and Statistical Manual of Mental Disorders and the International Statistical Classification of Diseases). Estimates were pooled across studies using random effects meta-analysis, and we estimated temporal changes using meta-regression. We investigated publication bias with funnel plots. RESULTS We identified 15 further studies to add to 18 studies from the original review. Overall delirium occurrence was 23% (95% CI 19-26%) (33 studies) though this varied according to diagnostic criteria used (highest in DSM-IV, lowest in DSM-5). There was no change from 1980 to 2019, nor was case-mix (average age of sample, proportion with dementia) different. Overall, risk of bias was moderate or low, though there was evidence of increasing publication bias over time. DISCUSSION The incidence and prevalence of delirium in hospitals appears to be stable, though publication bias may have masked true changes. Nonetheless, delirium remains a challenging and urgent priority for clinical diagnosis and care pathways.
Collapse
Affiliation(s)
- Kate Gibb
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, London, UK
- Acute Medical Unit, University College London Hospitals NHS Foundation Trust, UK
| | - Anna Seeley
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, London, UK
- Department of Medicine for the Elderly, University College London Hospitals NHS Foundation Trust, UK
| | - Terry Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, UK
| | - Susan Shenkin
- Department of Geriatric Medicine, University of Edinburgh, UK
| | - Kenneth Rockwood
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, London, UK
- Department of Medicine, Dalhousie University, Halifax, Canada
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, London, UK
- Acute Medical Unit, University College London Hospitals NHS Foundation Trust, UK
- Department of Medicine for the Elderly, University College London Hospitals NHS Foundation Trust, UK
| |
Collapse
|
20
|
Bowman K, Jones L, Masoli J, Mujica-Mota R, Strain D, Butchart J, Valderas JM, Fortinsky RH, Melzer D, Delgado J. Predicting incident delirium diagnoses using data from primary-care electronic health records. Age Ageing 2020; 49:374-381. [PMID: 32239180 PMCID: PMC7297278 DOI: 10.1093/ageing/afaa006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Indexed: 02/05/2023] Open
Abstract
IMPORTANCE risk factors for delirium in hospital inpatients are well established, but less is known about whether delirium occurring in the community or during an emergency admission to hospital care might be predicted from routine primary-care records. OBJECTIVES identify risk factors in primary-care electronic health records (PC-EHR) predictive of delirium occurring in the community or recorded in the initial episode in emergency hospitalisation. Test predictive performance against the cumulative frailty index. DESIGN Stage 1: case-control; Stages 2 and 3: retrospective cohort. SETTING clinical practice research datalink: PC-EHR linked to hospital discharge data from England. SUBJECTS Stage 1: 17,286 patients with delirium aged ≥60 years plus 85,607 controls. Stages 2 and 3: patients ≥ 60 years (n = 429,548 in 2015), split into calibration and validation groups. METHODS Stage 1: logistic regression to identify associations of 110 candidate risk measures with delirium. Stage 2: calibrating risk factor weights. Stage 3: validation in independent sample using area under the curve (AUC) receiver operating characteristic. RESULTS fifty-five risk factors were predictive, in domains including: cognitive impairment or mental illness, psychoactive drugs, frailty, infection, hyponatraemia and anticholinergic drugs. The derived model predicted 1-year incident delirium (AUC = 0.867, 0.852:0.881) and mortality (AUC = 0.846, 0.842:0.853), outperforming the frailty index (AUC = 0.761, 0.740:0.782). Individuals with the highest 10% of predicted delirium risk accounted for 55% of incident delirium over 1 year. CONCLUSIONS a risk factor model for delirium using data in PC-EHR performed well, identifying individuals at risk of new onsets of delirium. This model has potential for supporting preventive interventions.
Collapse
Affiliation(s)
- Kirsty Bowman
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Lindsay Jones
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Jane Masoli
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Ruben Mujica-Mota
- The Health Economics Group, Institute of Health Research, University of Exeter Medical School, Exeter EX1 2LU, UK
| | - David Strain
- Diabetes, Cardiovascular Risk and Ageing, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - Joe Butchart
- Department of Healthcare for Older People, Royal Devon and Exeter NHS Foundation Trust, RD&E, Exeter EX2 5DW, UK
| | - José M Valderas
- The Health Services and Policy Research Group, Institute of Health Research, University of Exeter Medical School, Exeter EX1 2LU, UK
| | - Richard H Fortinsky
- University of Connecticut, School of Medicine, Center on Aging, Mansfield, CT 06030-5215, USA
| | - David Melzer
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| | - João Delgado
- Epidemiology and Public Health, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter EX2 5DW, UK
| |
Collapse
|
21
|
Mitchell G, McVeigh C, Carlisle S, Brown-Wilson C. Evaluation of a co-produced delirium awareness programme for undergraduate nursing students in Northern Ireland: a pre-test/post-test study. BMC Nurs 2020; 19:34. [PMID: 32351326 PMCID: PMC7183703 DOI: 10.1186/s12912-020-00427-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 04/20/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Delirium is recognised internationally as a common disorder that causes acute deterioration in a person's cognitive abilities. Healthcare professionals play a key role in the early identification and management of delirium and effective education can support timely recognition and treatment. There is currently a lack of research exploring the delirium education provided to undergraduate nursing students. The aim of this study was to evaluate the effectiveness of a co-produced delirium awareness programme on undergraduate nursing students in Northern Ireland. METHODS The intervention was a 2-h delirium workshop, delivered in April 2019, to a convenience sample of year one undergraduate nursing students (n = 206) completing a BSc Honours Nursing degree programme in a Northern Ireland University. The workshop focused on four core elements: defining delirium, reflecting on practice, recognition of delirium and management of delirium. Participants completed a 35-item true-false Delirium Knowledge Questionnaire (DKQ) at baseline and post intervention using Socrative, a cloud-based student response system. In addition, students also completed a short questionnaire at baseline and post-workshop, designed by the authors, to ascertain perceived confidence about caring for people with delirium. Data were analysed using paired t-tests and descriptive statistics. RESULTS In the DKQ, Scores were normally distributed around the mean at baseline (71.89%) and post intervention (81.89%). Students improved across all three core areas in the post-test questionnaire, demonstrating improvements in knowledge about symptoms of delirium (7.32% increase), causes and risk factors of delirium (17.91% increase) and management of delirium (5.72% increase). In relation to perceived confidence, students reported a 60.20% increase in confidence related to recognition of delirium, a 49.51% increase in relation to delirium management and a 45.04% increase their ability to communicate about delirium. Both questionnaires were statistically significant (P < 0.01). CONCLUSIONS A 2-h workshop on delirium improved first year student nurse knowledge about delirium. Nursing students expressed that this approach to delirium education enabled collective thinking about how knowledge could be transferred into individual practises. Students also stated that learning incorporating the voice of the person who has experienced delirium, was an effective and powerful way to deliver education.
Collapse
Affiliation(s)
- Gary Mitchell
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, County Antrim, Belfast, Northern Ireland BT9 7BL
| | - Clare McVeigh
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, County Antrim, Belfast, Northern Ireland BT9 7BL
| | - Susan Carlisle
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, County Antrim, Belfast, Northern Ireland BT9 7BL
| | - Christine Brown-Wilson
- Queen’s University Belfast, School of Nursing and Midwifery, Medical Biology Centre, 97 Lisburn Road, County Antrim, Belfast, Northern Ireland BT9 7BL
| |
Collapse
|
22
|
Mitchell G, Crooks S. Delirium occurrence in hospitalised older people is positively associated with development of dementia postdischarge. Evid Based Nurs 2020; 24:54. [PMID: 32213511 DOI: 10.1136/ebnurs-2019-103227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2020] [Indexed: 11/04/2022]
Affiliation(s)
- Gary Mitchell
- School of Nursing & Midwifery, Queen's University Belfast, Belfast, UK
| | - Sophie Crooks
- School of Nursing & Midwifery, Queen's University Belfast, Belfast, UK
| |
Collapse
|
23
|
Abstract
SUMMARYThis is an overview of epidemiology relevant to mental health problems in old age. We start by reviewing some basic terminology: the definitions of prevalence and incidence; the difference between descriptive and analytical epidemiology; the differences between study designs, including cross-sectional, case–control and cohort studies. We then cover the main epidemiological features of the major psychiatric diseases that affect older people (dementia and its different types, depression, late-onset schizophrenia, bipolar affective disorder, delirium, anxiety-related disorders, eating disorders, alcohol and substance misuse, personality disorders) and suicide.We end with some descriptive statistics regarding quality of life in older people.
Collapse
|
24
|
Tsui A, Richards M, Davis D. Systemic inflammation and modifiable risk factors for cognitive impairment in older persons: Findings from a British birth cohort. Aging Med (Milton) 2019; 1:243-248. [PMID: 31328177 PMCID: PMC6640037 DOI: 10.1002/agm2.12044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Serum pro‐inflammatory markers may contribute to dementia pathophysiology and cognitive impairment. In a population‐representative birth cohort, serum C‐reactive protein (CRP), interleukin‐6 (IL‐6), and white cell count (WCC) were measured at age 60‐64 years and cognition was assessed using the Addenbrooke's Cognitive Examination (ACE‐III) at age 69 years. Higher baseline CRP and IL‐6 were associated with lower ACE‐III scores, but associations were attenuated on adjustment for educational attainment, sex, and other modifiable life course factors. No associations were found for CRP, IL‐6, and WCC with visual search speed or verbal memory. In conclusion, the relationship between increased baseline systemic inflammation and poorer cognition in later life may be explained by, or share pathways with, education and other modifiable life course factors.
Collapse
Affiliation(s)
- Alex Tsui
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| |
Collapse
|
25
|
Jayaswal AK, Sampath H, Soohinda G, Dutta S. Delirium in medical intensive care units: Incidence, subtypes, risk factors, and outcome. Indian J Psychiatry 2019; 61:352-358. [PMID: 31391638 PMCID: PMC6657559 DOI: 10.4103/psychiatry.indianjpsychiatry_583_18] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Delirium is a frequent yet underdiagnosed neuropsychiatric condition encountered in intensive care units (ICUs). Being both a preventable and potentially reversible process associated with significant morbidity and mortality, understanding risk factors that predispose and precipitate delirium in any given patient are critical in ICUs. AIMS AND OBJECTIVES The aim of this study is to evaluate the incidence, motor subtypes, risk factors, and clinical outcome of delirium in the medical ICU. MATERIALS AND METHODS We used a prospective study design on a cohort of consecutive medical ICU admissions of a tertiary care teaching hospital. The Confusion Assessment Method-ICU and Richmond Agitation Sedation Scale were used to diagnose and motor subtype delirium, respectively, along with a checklist to assess risk factors. RESULTS Of the 280 ICU admissions, 88 (31.4%) developed delirium. Hypoactive delirium was the most common motor subtype (55.7%). The detection rate of delirium was 12.5% (lowest for hypoactive delirium at 2.04%). Age, gender, and years of education did not significantly predict delirium (all P > 0.05). Tobacco use, chronic liver disease, and past episodes of delirium significantly predisposed, while mechanical ventilation, hypoxia, fever, raised levels of bilirubin and creatinine, and benzodiazepine administration significantly precipitated ICU delirium. Delirium was significantly associated with longer ICU stay (t = 4.23, P = 0.000) and 1-month postdischarge mortality (χ 2 = 6.867, P = 0.009). CONCLUSION Detection of delirium is challenging, especially in ICU patients on mechanical ventilation and hypoactive delirium. Screening and monitoring for predisposing and precipitating risk factors can greatly improve the odds of detection and intervention as ICU delirium is associated with significant morbidity and mortality.
Collapse
Affiliation(s)
| | - Harshavardhan Sampath
- Department of Psychiatry, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University, Sikkim, India
| | - Geeta Soohinda
- Department of Psychiatry, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University, Sikkim, India
| | - Sanjiba Dutta
- Department of Psychiatry, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University, Sikkim, India
| |
Collapse
|
26
|
Mukaetova-Ladinska EB, Cosker G, Chan M, Coppock M, Scully A, Kim SY, Kim SW, McNally RJQ, Teodorczuk A. Delirium Stigma Among Healthcare Staff. Geriatrics (Basel) 2018; 4:E6. [PMID: 31023974 PMCID: PMC6473673 DOI: 10.3390/geriatrics4010006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 12/20/2018] [Accepted: 12/23/2018] [Indexed: 11/16/2022] Open
Abstract
Older people with delirium occupy more than one third of acute medical beds and require increased medical attention, as care at present is suboptimal. In addition, since delirium is undetected, it should form a target for teaching in wards. Moreover, as people with delirium are largely dependent on daily interactions and care by inpatients professional staff, it is important to address stigmatisation of these vulnerable patients. This is especially important as previous studies have shown that negative staff attitudes towards these patients undermine good care. This single center cross-sectional study was designed to determine the extent of institutional stigma among health professionals involved in the care of people with delirium. For this, professional staff working on medical wards and in communities were approached to fill in a questionnaire containing the adapted Delirium Stigma Scale and the EuroQol five dimensions (EQ-5D-5L) questionnaire. Additional demographic information concerning their education and professional and personal experience with delirium was also collected. The characteristics associated with stigma were determined from the sample. The findings of our study provide an insight into the high level of stigmatisation of delirium patients among professionals (mean 11.66/18 points). This was not related to professionals' own experiences of delirium, their educational and professional backgrounds, or them having received formal delirium education. However, working closely with people with delirium seems to have a positive impact on the de-stigmatisation of this population among health professionals. Our findings that attitudes are not influenced by formal delirium teaching need to be incorporated into the design of interprofessional educational interventions. Accordingly, we advocate more direct patient-oriented and care delivered teaching interventions.
Collapse
Affiliation(s)
- Elizabeta B Mukaetova-Ladinska
- Institute of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester LE1 7RH, UK.
- The Evington Centre, Leicestershire Partnership NHS Trust, Leicester General Hospital, Gwendolen Rd, Leicester LE5 4QG, UK.
| | - Glynis Cosker
- Northumberland, Tyne and Wear NHS Foundation Trust, Richardson Unit, Leazes Wing, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4PL, UK.
| | - Mahathir Chan
- Northumberland, Tyne and Wear NHS Foundation Trust, Richardson Unit, Leazes Wing, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4PL, UK.
| | - Michael Coppock
- Northumberland, Tyne and Wear NHS Foundation Trust, Richardson Unit, Leazes Wing, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4PL, UK.
| | - Ann Scully
- Northumberland, Tyne and Wear NHS Foundation Trust, Richardson Unit, Leazes Wing, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4PL, UK.
| | - Seon-Young Kim
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju 61469, Korea.
| | - Sung-Wan Kim
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju 61469, Korea.
| | - Richard J Q McNally
- Institute of Health & Society, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK.
| | - Andrew Teodorczuk
- School of Medicine and Health Institute for the Development of Education and Scholarship (Health IDEAS), Griffith University, Queensland 4122, Australia.
- The Prince Charles Hospital, Metro North, Brisbane, Queensland 4032, Australia.
| |
Collapse
|
27
|
Tsui A, Kuh D, Richards M, Davis D. Delirium symptoms are associated with decline in cognitive function between ages 53 and 69 years: Findings from a British birth cohort study. Alzheimers Dement 2018; 14:617-622. [PMID: 29161540 PMCID: PMC5948100 DOI: 10.1016/j.jalz.2017.08.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 08/23/2017] [Accepted: 08/30/2017] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Few population studies have investigated whether longitudinal decline after delirium in mid-to-late life might affect specific cognitive domains. METHODS Participants from a birth cohort completing assessments of search speed, verbal memory, and the Addenbrooke's Cognitive Examination at age 69 were asked about delirium symptoms between ages 60 and 69 years. Linear regression models estimated associations between delirium symptoms and cognitive outcomes. RESULTS Period prevalence of delirium between 60 and 69 years was 4% (95% confidence interval 3.2%-4.9%). Self-reported symptoms of delirium over the seventh decade were associated with worse scores in the Addenbrooke's Cognitive Examination (-1.7 points; 95% confidence interval -3.2, -0.1; P = .04). In association with delirium symptoms, verbal memory scores were initially lower, with subsequent decline in search speed by the age of 69 years. These effects were independent of other Alzheimer's risk factors. DISCUSSION Delirium symptoms may be common even at relatively younger ages, and their presence may herald cognitive decline, particularly in search speed, over this time period.
Collapse
Affiliation(s)
- Alex Tsui
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| |
Collapse
|
28
|
Prevalence and risk factors for delirium diagnosis in patients followed in general practices in Germany. Int Psychogeriatr 2018; 30:511-518. [PMID: 29235430 DOI: 10.1017/s1041610217002587] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
UNLABELLED ABSTRACTBackground:The aim of this study is to identify the prevalence and risk factors of documented delirium in general practices in Germany. METHODS The present study includes 2,194 patients over the age of 65 years with delirium and 2,194 controls without delirium from a sample of 6,180,042 patients from 1,262 general practices. Multivariate logistic regression models were fitted with delirium as a dependent variable and other disorders and drugs as potential predictors. RESULTS A five-year-prevalence of 0.08% and an average of 0.7 (SD: 1.5) patients per practice per year were found. Among the study participants, 43.0% were men, and the mean age was 82.2 years (SD = 7.1 years). 24.2% of delirium patients and 10.3% of controls lived in nursing homes. Delirium was found to be positively associated with nursing home residence (OR: 1.69), dementia (OR = 3.45), epilepsy (OR = 2.16), stroke (OR = 1.80), Parkinson's disease (OR = 1.78), sleep disorder (OR = 1.64), renal insufficiency (OR = 1.57), fractures (OR = 1.56), and the prescription of benzodiazepines (OR = 1.62) and antiepileptics (OR = 1.53). Finally, the number of different drug classes prescribed within one year prior to the index date was positively associated with a risk of delirium. Compared to patients without medication therapy, the OR for delirium was 3.21 when more than four drug classes were prescribed. CONCLUSIONS In primary care, neuropsychiatric risk factors and polymedication were particularly important for the diagnosis of delirium compared to inpatient care. The methodological limitations of the analysis of data from routine care must be considered. Delirium is rarely diagnosed in primary care. Risk factors in primary care differ from those found in inpatient care. The reasons for this need to be further investigated.
Collapse
|
29
|
Davoudi A, Ebadi A, Rashidi P, Ozrazgat-Baslanti T, Bihorac A, Bursian AC. Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING 2018; 2017:568-573. [PMID: 30393788 DOI: 10.1109/bibe.2017.00014] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Electronic Health Records (EHR) are mainly designed to record relevant patient information during their stay in the hospital for administrative purposes. They additionally provide an efficient and inexpensive source of data for medical research, such as patient outcome prediction. In this study, we used preoperative Electronic Health Records to predict postoperative delirium. We compared the performance of seven machine learning models on delirium prediction: linear models, generalized additive models, random forests, support vector machine, neural networks, and extreme gradient boosting. Among the models evaluated in this study, random forests and generalized additive model outperformed the other models in terms of the overall performance metrics for prediction of delirium, particularly with respect to sensitivity. We found that age, alcohol or drug abuse, socioeconomic status, underlying medical issue, severity of medical problem, and attending surgeon can affect the risk of delirium.
Collapse
Affiliation(s)
- Anis Davoudi
- Department of Biomedical Engineering, University of Florida, Gainesville, USA
| | - Ashkan Ebadi
- Department of Biomedical Engineering, University of Florida, Gainesville, USA
| | - Parisa Rashidi
- Department of Biomedical Engineering, University of Florida, Gainesville, USA
| | | | - Azra Bihorac
- Department of Medicine, University of Florida, Gainesville, USA
| | - Alberto C Bursian
- Department of Anesthesiology, University of Florida, Gainesville, USA
| |
Collapse
|
30
|
De J, Wand APF, Smerdely PI, Hunt GE. Validating the 4A's test in screening for delirium in a culturally diverse geriatric inpatient population. Int J Geriatr Psychiatry 2017; 32:1322-1329. [PMID: 27766672 DOI: 10.1002/gps.4615] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 09/30/2016] [Accepted: 10/05/2016] [Indexed: 01/12/2023]
Abstract
OBJECTIVE To measure the diagnostic accuracy of the 4A's test in screening for delirium in geriatric inpatients from culturally diverse backgrounds. METHODS A prospective study was conducted with patients admitted to the geriatric and orthogeriatric services of a tertiary teaching hospital. Consenting participants aged 65 years and over were screened for delirium with the 4AT by nursing staff within 72 h of admission. The diagnosis of delirium was made separately by expert assessors, responsible for the participant's clinical care, blinded to the 4AT score, within 30 min of the 4AT assessment using the DSM 5 criteria and the Confusion Assessment Method. Interpreters were used for non-English speaking patients. The Informant Questionnaire for Cognitive Decline in the Elderly was completed by a carer/relative to assess for probable dementia. RESULTS A total of 257 participants (mean age 85) were recruited over five months. Delirium was diagnosed in 159 (62%) by the expert assessors and 158 (62%) by the 4AT assessment. A total of 205 participants (80% of total population) had probable dementia. The sensitivity and specificity of the 4AT were 87% and 80%, respectively, in detecting delirium overall, 86% and 71% in people with probable dementia and 91% and 71% for non-English speaking participants. The area under the receiver operating characteristic curve for delirium in the whole population was 0.92, 0.89 in the probable dementia subgroup and 0.90 in non-English speaking participants. CONCLUSIONS The 4AT is a sensitive and specific screening tool for delirium in geriatric inpatients, including those with probable dementia or who are non-English speaking. Copyright © 2016 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
- Jayita De
- Department of Aged Care, St George Hospital, South Eastern Sydney Local Health District, Australia.,Faculty of Medicine, University of New South Wales, Australia
| | - Anne P F Wand
- Faculty of Medicine, University of New South Wales, Australia.,Older Persons Mental Health Service, St George Hospital, South Eastern Sydney Local Health District, Australia
| | - Peter I Smerdely
- Department of Aged Care, St George Hospital, South Eastern Sydney Local Health District, Australia.,Faculty of Medicine, University of New South Wales, Australia
| | - Glenn E Hunt
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, NSW, Australia.,Concord Centre for Mental Health, Concord Repatriation and General Hospital, Sydney Local Health District, Australia
| |
Collapse
|
31
|
Needham M, Webb C, Bryden D. Postoperative cognitive dysfunction and dementia: what we need to know and do. Br J Anaesth 2017; 119:i115-i125. [DOI: 10.1093/bja/aex354] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
|
32
|
Abstract
Cognitive decline in older persons can be pathologic or occur as a part of the normal aging process. Delirium, depression, and dementia are geriatric syndromes and neurocognitive disorders that are the result of cognitive decline associated with pathology. This overview is a brief guide on cognitive decline and how to identify, manage, and treat associated neurocognitive disorders, including delirium, depression, and dementia.
Collapse
Affiliation(s)
- Melodee Harris
- College of Nursing, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot #539, Little Rock, AR 72205, USA.
| |
Collapse
|
33
|
Richardson SJ, Davis DHJ, Stephan B, Robinson L, Brayne C, Barnes L, Parker S, Allan LM. Protocol for the Delirium and Cognitive Impact in Dementia (DECIDE) study: A nested prospective longitudinal cohort study. BMC Geriatr 2017; 17:98. [PMID: 28454532 PMCID: PMC5410072 DOI: 10.1186/s12877-017-0479-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 04/05/2017] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Delirium is common, affecting at least 20% of older hospital inpatients. It is widely accepted that delirium is associated with dementia but the degree of causation within this relationship is unclear. Previous studies have been limited by incomplete ascertainment of baseline cognition or a lack of prospective delirium assessments. There is an urgent need for an improved understanding of the relationship between delirium and dementia given that delirium prevention may plausibly impact upon dementia prevention. A well-designed, observational study could also answer fundamental questions of major importance to patients and their families regarding outcomes after delirium. The Delirium and Cognitive Impact in Dementia (DECIDE) study aims to explore the association between delirium and cognitive function over time in older participants. In an existing population based cohort aged 65 years and older, the effect on cognition of an episode of delirium will be measured, independent of baseline cognition and illness severity. The predictive value of clinical parameters including delirium severity, baseline cognition and delirium subtype on cognitive outcomes following an episode of delirium will also be explored. METHODS Over a 12 month period, surviving participants from the Cognitive Function and Ageing Study II-Newcastle will be screened for delirium on admission to hospital. At the point of presentation, baseline characteristics along with a number of disease relevant clinical parameters will be recorded. The progression/resolution of delirium will be monitored. In those with and without delirium, cognitive decline and dementia will be assessed at one year follow-up. We will evaluate the effect of delirium on cognitive function over time along with the predictive value of clinical parameters. DISCUSSION This study will be the first to prospectively elucidate the size of the effect of delirium upon cognitive decline and incident dementia. The results will be used to inform future dementia prevention trials that focus on delirium intervention.
Collapse
Affiliation(s)
- Sarah J Richardson
- Institute of Neuroscience, 3rd floor Biomedical Research Building, Newcastle University Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
| | - Daniel H J Davis
- MRC Unit for Lifelong Health and Ageing, University College London, 33 Bedford Place, London, WC1B 5JU, UK
| | - Blossom Stephan
- Institute for Ageing, 2nd floor Biomedical Research Building, Newcastle University Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Louise Robinson
- Institute for Ageing, 2nd floor Biomedical Research Building, Newcastle University Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Carol Brayne
- Institute of Public Health, Forvie Site, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
| | - Linda Barnes
- Institute of Public Health, Forvie Site, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
| | - Stuart Parker
- Institute of Neuroscience, 3rd floor Biomedical Research Building, Newcastle University Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Louise M Allan
- Institute of Neuroscience, 3rd floor Biomedical Research Building, Newcastle University Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| |
Collapse
|
34
|
Restrepo D, Duque M, Montoya L, Berrouet MC, Rojas M, Lopera G, Giraldo K. Risk Factors and Hospital Mortality in Surgical and Non-surgical Patients with Delirium. ACTA ACUST UNITED AC 2017; 47:148-154. [PMID: 30017037 DOI: 10.1016/j.rcp.2017.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 02/12/2017] [Accepted: 03/10/2017] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Delirium is a common neuropsychiatric syndrome with severe consequences, especially for elderly patients with pre-existing cognitive impairment. METHODOLOGY Descriptive study of one retrospective cohort, with the aim of comparing risk factors and mortality between surgical treatment and non-surgical treatment in a group of hospitalised patients with delirium. RESULTS Of the 184 hospitalised patients with delirium analysed, 29.3% were for surgical causes and 70.7% for non-surgical causes. Just over half (50.5%) were women, and 50% of the patients were 74 years or less (interquartile range, 27 years), with statistical differences (P=.002). Prior cognitive impairment was observed in 42.9% of patients, with a greater proportion of non-surgical (50.8% vs 24.1%) with significant differences (P=.001). Anticholinergic medications were received by 89.7% of patients, and almost all of them (99.5%) received three or more medicines, with no significant differences. Half (50%) of the patients remained in hospital for 16.3 days or less (interquartile range, 23 days). Hospitalisation was significantly longer in the surgical group (P<.001). The hospital mortality was 14.7%, with no statistical differences between groups (P=.073). DISCUSSION Although there were no significant differences in mortality between the groups, it was higher in the non-surgical (17.7% vs. 7.4%). Increased mortality was found in the older group (non-surgical) that also had significantly greater cognitive impairment, which coincides with that in the scientific literature.
Collapse
|
35
|
Abstract
Integrating mental and physical healthcare is difficult to achieve because of professional and organisational barriers. Psychiatrists recognise the problems resulting from fragmentation of services and want continuity of care for patients, but commissioning and service structures perpetuate these problems. One way forward may be to follow the syndromic model employed by geriatricians as a means of avoiding over-emphasis on diagnosis above the pragmatics of implementing multi-component, coordinated care. Commissioners need to be made aware of the overlap and complementarity of skills possessed by old age psychiatry and geriatric medicine to create joint services for people vulnerable to dementia and delirium. A re-forged alliance between the two specialties will be necessary to turn integrated care for frail, elderly people from rhetoric into reality.
Collapse
|
36
|
Davis DHJ, Muniz-Terrera G, Keage HAD, Stephan BCM, Fleming J, Ince PG, Matthews FE, Cunningham C, Ely EW, MacLullich AMJ, Brayne C. Association of Delirium With Cognitive Decline in Late Life: A Neuropathologic Study of 3 Population-Based Cohort Studies. JAMA Psychiatry 2017; 74:244-251. [PMID: 28114436 PMCID: PMC6037291 DOI: 10.1001/jamapsychiatry.2016.3423] [Citation(s) in RCA: 164] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
IMPORTANCE Delirium is associated with accelerated cognitive decline. The pathologic substrates of this association are not yet known, that is, whether they are the same as those associated with dementia, are independent, or are interrelated. OBJECTIVE To examine whether the accelerated cognitive decline observed after delirium is independent of the pathologic processes of classic dementia. DESIGN, SETTING, AND PARTICIPANTS Harmonized data from 987 individual brain donors from 3 observational cohort studies with population-based sampling (Vantaa 85+, Cambridge City Over-75s Cohort, Cognitive Function and Ageing Study) performed from January 1, 1985, through December 31, 2011, with a median follow-up of 5.2 years until death, were used in this study. Neuropathologic assessments were performed with investigators masked to clinical data. Data analysis was performed from January 1, 2012, through December 31, 2013. Clinical characteristics of brain donors were not different from the rest of the cohort. Outcome ascertainment was complete given that the participants were brain donors. EXPOSURES Delirium (never vs ever) and pathologic burden of neurofibrillary tangles, amyloid plaques, vascular lesions, and Lewy bodies. Effects modeled using random-effects linear regression and interactions between delirium and pathologic burden were assessed. OUTCOMES Change in Mini-Mental State Examination (MMSE) scores during the 6 years before death. RESULTS There were 987 participants (290 from Vantaa 85+, 241 from the Cambridge City Over-75s Cohort, and 456 from the Cognitive Function and Ageing Study) with neuropathologic data; mean (SD) age at death was 90 (6.4) years, including 682 women (69%). The mean MMSE score 6 years before death was 24.7 points. The 279 individuals with delirium (75% women) had worse initial scores (-2.8 points; 95% CI, -4.5 to -1.0; P < .001). Cognitive decline attributable to delirium was -0.37 MMSE points per year (95% CI, -0.60 to -0.13; P < .001). Decline attributable to the pathologic processes of dementia was -0.39 MMSE points per year (95% CI, -0.57 to -0.22; P < .001). However, the combination of delirium and the pathologic processes of dementia resulted in the greatest decline, in which the interaction contributed an additional -0.16 MMSE points per year (95% CI, -0.29 to -0.03; P = .01). The multiplicative nature of these variables resulted in individuals with delirium and the pathologic processes of dementia declining 0.72 MMSE points per year faster than age-, sex-, and educational level-matched controls. CONCLUSIONS AND RELEVANCE Delirium in the presence of the pathologic processes of dementia is associated with accelerated cognitive decline beyond that expected for delirium or the pathologic process itself. These findings suggest that additional unmeasured pathologic processes specifically relate to delirium. Age-related cognitive decline has many contributors, and these findings at the population level support a role for delirium acting independently and multiplicatively to the pathologic processes of classic dementia.
Collapse
Affiliation(s)
- Daniel H J Davis
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, England2Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, England
| | | | - Hannah A D Keage
- School of Psychology, Social Work and Social Policy, University of South Australia, Adelaide, Australia
| | | | - Jane Fleming
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, England
| | - Paul G Ince
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, England
| | - Fiona E Matthews
- Institute of Health and Society, Newcastle University, Newcastle, England
| | - Colm Cunningham
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland
| | - E Wesley Ely
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee9Tennessee Valley Veterans Affairs Geriatric Research Education Clinical Center, Nashville
| | | | - Carol Brayne
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, England
| |
Collapse
|
37
|
Ben-Shlomo Y, Cooper R, Kuh D. The last two decades of life course epidemiology, and its relevance for research on ageing. Int J Epidemiol 2016; 45:973-988. [PMID: 27880685 PMCID: PMC5841628 DOI: 10.1093/ije/dyw096] [Citation(s) in RCA: 142] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| |
Collapse
|
38
|
Teale E, Young J, Siddiqi N, Munyombwe T, Harrison J, Schuurmanns M. Study protocol-investigation of the Delirium Observation Screening Scale (DOSS) for the routine detection of delirium in the care home setting: a prospective cohort study. BMJ Open 2016; 6:e009615. [PMID: 27324706 PMCID: PMC4916611 DOI: 10.1136/bmjopen-2015-009615] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Delirium is a common and distressing condition associated with frailty, dementia and comorbidity. These are common in long-term care settings. Residents in care homes are therefore at particular risk of delirium. Despite this, methods to detect delirium in care homes are lacking, with existing diagnostic tools taking too long, or requiring specific training to deliver. This limits their feasibility for use for the routine detection of delirium by care home staff. Routine screening for delirium in care homes would allow timely attention to exacerbating factors to attenuate the episode, and facilitate future research into delirium in the care home environment. METHODS Residents from 4 large care homes will be asked to consent (or their consultees asked to provide a declaration of agreement) to participate in the study. Care home staff will administer the 25-item Delirium Observation Screening Scale (DOSS)-a delirium screening tool based on observed behaviours-and this will be tested against the research standard Confusion Assessment Method (CAM) administered by trained research assistants performed two times per week for all participating residents. ANALYSIS Sensitivity, specificity, positive and negative predictive values, likelihood ratios and a diagnostic OR will be calculated for the detection of delirium with the 25-item DOSS. The feasibility of routine delirium screening and the scaling properties of the 25-item DOSS will also be explored. ETHICS AND DISSEMINATION For residents lacking capacity to participate, a consultee will be approached for a declaration of agreement for inclusion in the study. Results will be published in peer-reviewed journals and disseminated in written format to clinical commissioning groups, general practitioners and relevant third parties. TRIAL REGISTRATION NUMBER ISRCTN14608554.
Collapse
Affiliation(s)
- Elizabeth Teale
- Academic Unit of Elderly Care and Rehabilitation, Leeds University, Bradford, UK
| | - John Young
- Academic Unit of Elderly Care and Rehabilitation, Leeds University, Bradford, UK
| | - Najma Siddiqi
- Academic Unit of Psychiatry and Behavioural Sciences, Leeds University and Bradford District Care NHS Foundation Trust, Leeds, UK
| | - Theresa Munyombwe
- Leeds Institute of Cardiovascular and Metabolic Medicine, Leeds University, Leeds, UK
| | - Jennifer Harrison
- Centre for Cognitive Ageing and Cognitive Epidemiology and the Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Marieke Schuurmanns
- Department of Rehabilitation, University Medical Center, Utrecht, Netherlands
| |
Collapse
|
39
|
Sepulveda E, Franco JG, Trzepacz PT, Gaviria AM, Meagher DJ, Palma J, Viñuelas E, Grau I, Vilella E, de Pablo J. Delirium diagnosis defined by cluster analysis of symptoms versus diagnosis by DSM and ICD criteria: diagnostic accuracy study. BMC Psychiatry 2016; 16:167. [PMID: 27229307 PMCID: PMC4882791 DOI: 10.1186/s12888-016-0878-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 05/18/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Information on validity and reliability of delirium criteria is necessary for clinicians, researchers, and further developments of DSM or ICD. We compare four DSM and ICD delirium diagnostic criteria versions, which were developed by consensus of experts, with a phenomenology-based natural diagnosis delineated using cluster analysis of delirium features in a sample with a high prevalence of dementia. We also measured inter-rater reliability of each system when applied by two evaluators from distinct disciplines. METHODS Cross-sectional analysis of 200 consecutive patients admitted to a skilled nursing facility, independently assessed within 24-48 h after admission with the Delirium Rating Scale-Revised-98 (DRS-R98) and for DSM-III-R, DSM-IV, DSM-5, and ICD-10 criteria for delirium. Cluster analysis (CA) delineated natural delirium and nondelirium reference groups using DRS-R98 items and then diagnostic systems' performance were evaluated against the CA-defined groups using logistic regression and crosstabs for discriminant analysis (sensitivity, specificity, percentage of subjects correctly classified by each diagnostic system and their individual criteria, and performance for each system when excluding each individual criterion are reported). Kappa Index (K) was used to report inter-rater reliability for delirium diagnostic systems and their individual criteria. RESULTS 117 (58.5 %) patients had preexisting dementia according to the Informant Questionnaire on Cognitive Decline in the Elderly. CA delineated 49 delirium subjects and 151 nondelirium. Against these CA groups, delirium diagnosis accuracy was highest using DSM-III-R (87.5 %) followed closely by DSM-IV (86.0 %), ICD-10 (85.5 %) and DSM-5 (84.5 %). ICD-10 had the highest specificity (96.0 %) but lowest sensitivity (53.1 %). DSM-III-R had the best sensitivity (81.6 %) and the best sensitivity-specificity balance. DSM-5 had the highest inter-rater reliability (K =0.73) while DSM-III-R criteria were the least reliable. CONCLUSIONS Using our CA-defined, phenomenologically-based delirium designations as the reference standard, we found performance discordance among four diagnostic systems when tested in subjects where comorbid dementia was prevalent. The most complex diagnostic systems have higher accuracy and the newer DSM-5 have higher reliability. Our novel phenomenological approach to designing a delirium reference standard may be preferred to guide revisions of diagnostic systems in the future.
Collapse
Affiliation(s)
- Esteban Sepulveda
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| | - José G. Franco
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain ,Grupo de Investigación en Psiquiatría de Enlace, Escuela de Ciencias de la Salud, Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Paula T. Trzepacz
- Indiana University School of Medicine, Indianapolis, IN USA ,Tufts University Medical Shool, Boston, MA USA
| | - Ana M. Gaviria
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain ,Universidad San Buenaventura, Faculty of Psychology, Medellín, Antioquia Colombia
| | - David J. Meagher
- Department of Psychiatry, University of Limerick School of Medicine, Limerick, Ireland ,School of Medicine, University College Dublin, Dublin, Ireland
| | - José Palma
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| | - Eva Viñuelas
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| | - Imma Grau
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| | - Elisabet Vilella
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| | - Joan de Pablo
- Hospital Psiquiatric Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus Tarragona, Spain
| |
Collapse
|
40
|
Hosie A, Lobb E, Agar M, Davidson P, Chye R, Lam L, Phillips J. Measuring delirium point-prevalence in two Australian palliative care inpatient units. Int J Palliat Nurs 2016; 22:13-21. [DOI: 10.12968/ijpn.2016.22.1.13] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Annmarie Hosie
- PhD Candidate, School of Nursing, The University of Notre Dame Australia
| | | | - Meera Agar
- Professor, Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology Sydney
| | | | - Richard Chye
- Director, St Vincent's Health Network, Darlinghurst, Australia
| | - Lawrence Lam
- Professor, Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology Sydney
| | - Jane Phillips
- Director, Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology Sydney
| |
Collapse
|
41
|
Nelson S, Rustad JK, Catalano G, Stern TA, Kozel FA. Depressive Symptoms Before, During, and After Delirium: A Literature Review. PSYCHOSOMATICS 2015; 57:131-41. [PMID: 26805588 DOI: 10.1016/j.psym.2015.11.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 11/02/2015] [Accepted: 11/03/2015] [Indexed: 10/22/2022]
Abstract
BACKGROUND Delirium and depression are often thought of as mutually exclusive conditions. However, several studies cite depression as a risk factor for delirium whereas others note that patients with delirium often manifest depressive symptoms. Whether these depressive symptoms persist after delirium resolves remains unclear. OBJECTIVES This article reviews published studies that have investigated the relationship between depression and delirium. METHODS Literature searches on PubMed, CINAHL, Cochrane Library, and PsycInfo were conducted using search criteria "delirium" AND "depress⁎" as keywords or MeSH terms. RESULTS Of 722 search results, 10 prospective cohort studies were identified for inclusion. These studies were categorized regarding the time of assessment for depressive symptoms. Included studies varied greatly (regarding their index population, their methods of assessment, and their timing of assessments). Of the studies, 3 involved patients undergoing hip fracture repair. They demonstrated more severe depressive symptoms both during delirium and after delirium ended. Conversely, the other studies did not find any statistically significant correlations between the 2 conditions. CONCLUSIONS The literature suggests a correlation between depression and delirium in patients with hip fracture. Whether other specific populations have higher comorbidity is unclear. Unfortunately, studies varied widely in their methods, precluding a meta-analysis. Nonetheless, our review provides a foundation for future research.
Collapse
Affiliation(s)
- Scott Nelson
- Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital and Clinics, Tampa, FL; Department of Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL.
| | - James K Rustad
- Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital and Clinics, Tampa, FL; Department of Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL
| | - Glenn Catalano
- Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital and Clinics, Tampa, FL; Department of Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL
| | - Theodore A Stern
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA
| | - F Andrew Kozel
- Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital and Clinics, Tampa, FL; Department of Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL; HSR&D Center of Innovation on Disability and Rehabilitation Research (CINDRR), James A. Haley Veterans' Hospital and Clinics, Tampa, FL
| |
Collapse
|
42
|
Worsening cognitive impairment and neurodegenerative pathology progressively increase risk for delirium. Am J Geriatr Psychiatry 2015; 23:403-415. [PMID: 25239680 PMCID: PMC4278840 DOI: 10.1016/j.jagp.2014.08.005] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Revised: 08/06/2014] [Accepted: 08/08/2014] [Indexed: 12/11/2022]
Abstract
BACKGROUND Delirium is a profound neuropsychiatric disturbance precipitated by acute illness. Although dementia is the major risk factor this has typically been considered a binary quantity (i.e., cognitively impaired versus cognitively normal) with respect to delirium risk. We used humans and mice to address the hypothesis that the severity of underlying neurodegenerative changes and/or cognitive impairment progressively alters delirium risk. METHODS Humans in a population-based longitudinal study, Vantaa 85+, were followed for incident delirium. Odds for reporting delirium at follow-up (outcome) were modeled using random-effects logistic regression, where prior cognitive impairment measured by Mini-Mental State Exam (MMSE) (exposure) was considered. To address whether underlying neurodegenerative pathology increased susceptibility to acute cognitive change, mice at three stages of neurodegenerative disease progression (ME7 model of neurodegeneration: controls, 12 weeks, and 16 weeks) were assessed for acute cognitive dysfunction upon systemic inflammation induced by bacterial lipopolysaccharide (LPS; 100 μg/kg). Synaptic and axonal correlates of susceptibility to acute dysfunction were assessed using immunohistochemistry. RESULTS In the Vantaa cohort, 465 persons (88.4 ± 2.8 years) completed MMSE at baseline. For every MMSE point lost, risk of incident delirium increased by 5% (p = 0.02). LPS precipitated severe and fluctuating cognitive deficits in 16-week ME7 mice but lower incidence or no deficits in 12-week ME7 and controls, respectively. This was associated with progressive thalamic synaptic loss and axonal pathology. CONCLUSION A human population-based cohort with graded severity of existing cognitive impairment and a mouse model with progressing neurodegeneration both indicate that the risk of delirium increases with greater severity of pre-existing cognitive impairment and neuropathology.
Collapse
|
43
|
The American Geriatrics Society/National Institute on Aging Bedside-to-Bench Conference: Research Agenda on Delirium in Older Adults. J Am Geriatr Soc 2015; 63:843-52. [PMID: 25834932 PMCID: PMC5407494 DOI: 10.1111/jgs.13406] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
|
44
|
Paddick SM, Longdon A, Kisoli A, Gray WK, Dotchin CL, Jusabani A, Iqbal A, Hughes J, Teodorczuk A, Chaote P, Walker RW. The prevalence of dementia subtypes in rural Tanzania. Am J Geriatr Psychiatry 2014; 22:1613-22. [PMID: 25134968 DOI: 10.1016/j.jagp.2014.02.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 02/05/2014] [Accepted: 02/06/2014] [Indexed: 11/17/2022]
Abstract
OBJECTIVES The prevalence of dementia is predicted to increase rapidly in developing countries. Vascular risk factors may contribute to this rise. Our aim was to estimate the proportions of Alzheimer's disease (ADD) and vascular dementia (VAD) in a prevalent cohort of dementia cases in rural Tanzania. DESIGN A two-stage door-to-door dementia prevalence study. SETTING Hai district, Tanzania PARTICIPANTS In Phase I, the Community Screening Instrument for Dementia (CSI-D) was used to screen 1198 community-dwelling people for dementia. In Phase II, 168/184 (91.3%) of those with poor performance, 56/104 (53.8%) of those with intermediate performance and 72/910 (7.9%) of those with good performance on CSI-D were interviewed and diagnoses were made using the DSM-IV criteria. MEASUREMENTS For subtype diagnosis, DSM-IV dementia criteria plus NINCDS-ADRDA criteria were used for ADD and NINDS-AIREN criteria for VAD. Other dementias were diagnosed by international consensus criteria. Diagnoses were confirmed or excluded by computerised tomography where clinically appropriate. RESULTS Of 78 dementia cases, 38 (48.7%) were ADD and 32 (41.0%) were VAD. The crude prevalence of ADD was 3.7% (95% CI 2.5 to 4.9) and of VAD was 2.9% (95% CI 1.9 to 3.9). The age-adjusted prevalence was 3.0% (95% CI 1.8 to 4.2) for ADD and 2.6% (95% CI 1.6 to 3.6) for VAD. A previous diagnosis of diabetes mellitus was independently associated with greater odds of having VAD than ADD. CONCLUSIONS VAD accounted for a greater proportion of dementia cases than expected. Further investigation and treatment of risk factors is required in this setting.
Collapse
Affiliation(s)
- Stella-Maria Paddick
- Institute of Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom; Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom
| | - Anna Longdon
- South Devon Healthcare NHS Foundation Trust, Torquay, United Kingdom
| | - Aloyce Kisoli
- District Medical Office, Hai District Hospital, Boma'ngombe, Kilimanjaro Region, Tanzania
| | - William K Gray
- Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom
| | - Catherine L Dotchin
- Institute of Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom; Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom.
| | | | - Ahmed Iqbal
- Institute of Neurosciences, Southern General Hospital, Glasgow, United Kingdom
| | - Julian Hughes
- Institute of Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Andrew Teodorczuk
- Institute of Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Paul Chaote
- District Medical Office, Hai District Hospital, Boma'ngombe, Kilimanjaro Region, Tanzania
| | - Richard W Walker
- Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom; Institute of Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom
| |
Collapse
|
45
|
Delirium detection based on monitoring of blinks and eye movements. Am J Geriatr Psychiatry 2014; 22:1575-82. [PMID: 24495403 DOI: 10.1016/j.jagp.2014.01.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2013] [Revised: 12/24/2013] [Accepted: 01/02/2014] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To investigate whether delirious patients differ from nondelirious patients with regard to blinks and eye movements to explore opportunities for delirium detection. METHODS Using a single-center, observational study in a tertiary hospital in the Netherlands, we studied 28 delirious elderly and 28 age- and gender-matched (group level) nondelirious elderly, postoperative cardiac surgery patients. Patients were evaluated for delirium by a geriatrician, psychiatrist, or neurologist using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. Blinks were automatically extracted from electro-oculograms and eye movements from electroencephalography recordings using independent component analysis. The number and duration of eye movements and blinks were compared between patients with and without delirium, based on the classification of the delirium experts described above. RESULTS During eyes-open registrations, delirious patients showed, compared with nondelirious patients, a significant decrease in the number of blinks per minute (median: 12 [interquartile range {IQR}: 5-18] versus 18 [IQR: 8-25], respectively; p = 0.02) and number of vertical eye movements per minute (median: 1 [IQR: 0-13] versus 15 [IQR: 2-54], respectively; p = 0.01) as well as an increase in the average duration of blinks (median: 0.5 [IQR: 0.36-0.95] seconds versus 0.34 [IQR: 0.23-0.53] seconds, respectively; p <0.01). During eyes-closed registrations, the average duration of horizontal eye movements was significantly increased in delirious patients compared with patients without delirium (median: 0.41 [IQR: 0.15-0.75] seconds versus 0.08 [IQR: 0.06-0.22] seconds, respectively; p <0.01). CONCLUSION Spontaneous eye movements and particularly blinks appear to be affected in delirious patients, which holds promise for delirium detection.
Collapse
|
46
|
Neufeld KJ, Nelliot A, Inouye SK, Ely EW, Bienvenu OJ, Lee HB, Needham DM. Delirium diagnosis methodology used in research: a survey-based study. Am J Geriatr Psychiatry 2014; 22:1513-21. [PMID: 24745562 PMCID: PMC4164600 DOI: 10.1016/j.jagp.2014.03.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Revised: 03/05/2014] [Accepted: 03/06/2014] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To describe methodology used to diagnose delirium in research studies evaluating delirium detection tools. METHODS The authors used a survey to address reference rater methodology for delirium diagnosis, including rater characteristics, sources of patient information, and diagnostic process, completed via web or telephone interview according to respondent preference. Participants were authors of 39 studies included in three recent systematic reviews of delirium detection instruments in hospitalized patients. RESULTS Authors from 85% (N = 33) of the 39 eligible studies responded to the survey. The median number of raters per study was 2.5 (interquartile range: 2-3); 79% were physicians. The raters' median duration of clinical experience with delirium diagnosis was 7 years (interquartile range: 4-10), with 5% having no prior clinical experience. Inter-rater reliability was evaluated in 70% of studies. Cognitive tests and delirium detection tools were used in the delirium reference rating process in 61% (N = 21) and 45% (N = 15) of studies, respectively, with 33% (N = 11) using both and 27% (N = 9) using neither. When patients were too drowsy or declined to participate in delirium evaluation, 70% of studies (N = 23) used all available information for delirium diagnosis, whereas 15% excluded such patients. CONCLUSION Significant variability exists in reference standard methods for delirium diagnosis in published research. Increasing standardization by documenting inter-rater reliability, using standardized cognitive and delirium detection tools, incorporating diagnostic expert consensus panels, and using all available information in patients declining or unable to participate with formal testing may help advance delirium research by increasing consistency of case detection and improving generalizability of research results.
Collapse
Affiliation(s)
- KJ Neufeld
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland USA
| | - A Nelliot
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland USA
| | - SK Inouye
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts USA,Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts USA
| | - EW Ely
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, Center for Health Services Research, Vanderbilt School of Medicine, Nashville, Tennessee USA,Geriatric Research, Education and Clinical Center, (GRECC) Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, Tennessee USA
| | - OJ Bienvenu
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland USA
| | - HB Lee
- Psychological Medicine Service, Yale-New Haven Hospital, New Haven, Connecticut USA
| | - DM Needham
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland USA,Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland USA
| |
Collapse
|
47
|
Kuhn E, Du X, McGrath K, Coveney S, O'Regan N, Richardson S, Teodorczuk A, Allan L, Wilson D, Inouye SK, MacLullich AMJ, Meagher D, Brayne C, Timmons S, Davis D. Validation of a consensus method for identifying delirium from hospital records. PLoS One 2014; 9:e111823. [PMID: 25369057 PMCID: PMC4219785 DOI: 10.1371/journal.pone.0111823] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 10/01/2014] [Indexed: 11/26/2022] Open
Abstract
Background Delirium is increasingly considered to be an important determinant of trajectories of cognitive decline. Therefore, analyses of existing cohort studies measuring cognitive outcomes could benefit from methods to ascertain a retrospective delirium diagnosis. This study aimed to develop and validate such a method for delirium detection using routine medical records in UK and Ireland. Methods A point prevalence study of delirium provided the reference-standard ratings for delirium diagnosis. Blinded to study results, clinical vignettes were compiled from participants' medical records in a standardised manner, describing any relevant delirium symptoms recorded in the whole case record for the period leading up to case-ascertainment. An expert panel rated each vignette as unlikely, possible, or probable delirium and disagreements were resolved by consensus. Results From 95 case records, 424 vignettes were abstracted by 5 trained clinicians. There were 29 delirium cases according to the reference standard. Median age of subjects was 76.6 years (interquartile range 54.6 to 82.5). Against the original study DSM-IV diagnosis, the chart abstraction method gave a positive likelihood ratio (LR) of 7.8 (95% CI 5.7–12.0) and the negative LR of 0.45 (95% CI 0.40–0.47) for probable delirium (sensitivity 0.58 (95% CI 0.53–0.62); specificity 0.93 (95% CI 0.90–0.95); AUC 0.86 (95% CI 0.82–0.89)). The method diagnosed possible delirium with positive LR 3.5 (95% CI 2.9–4.3) and negative LR 0.15 (95% CI 0.11–0.21) (sensitivity 0.89 (95% CI 0.85–0.91); specificity 0.75 (95% CI 0.71–0.79); AUC 0.86 (95% CI 0.80–0.89)). Conclusions This chart abstraction method can retrospectively diagnose delirium in hospitalised patients with good accuracy. This has potential for retrospectively identifying delirium in cohort studies where routine medical records are available. This example of record linkage between hospitalisations and epidemiological data may lead to further insights into the inter-relationship between acute illness, as an exposure, for a range of chronic health outcomes.
Collapse
Affiliation(s)
- Elvira Kuhn
- Centre for Gerontology and Rehabilitation, School of Medicine, St. Finbarr's Hospital, Cork, Ireland
| | - Xinyi Du
- School of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Keith McGrath
- Centre for Gerontology and Rehabilitation, School of Medicine, St. Finbarr's Hospital, Cork, Ireland
| | - Sarah Coveney
- Centre for Gerontology and Rehabilitation, School of Medicine, St. Finbarr's Hospital, Cork, Ireland
| | - Niamh O'Regan
- Centre for Gerontology and Rehabilitation, School of Medicine, St. Finbarr's Hospital, Cork, Ireland
| | - Sarah Richardson
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Andrew Teodorczuk
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Louise Allan
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Dan Wilson
- Department of Clinical Gerontology, Kings College Hospital NHS Foundation Trust, London, United Kingdom
| | - Sharon K. Inouye
- Aging Brain Center, Institute for Aging Research, Hebrew SeniorLife, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, United States of America
| | - Alasdair M. J. MacLullich
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Delirium Research Group, University of Edinburgh, Edinburgh, United Kingdom
| | - David Meagher
- Department of Psychiatry, University of Limerick, Limerick, Ireland
| | - Carol Brayne
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Suzanne Timmons
- Centre for Gerontology and Rehabilitation, School of Medicine, St. Finbarr's Hospital, Cork, Ireland
| | - Daniel Davis
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
- * E-mail:
| |
Collapse
|
48
|
Lawlor PG, Davis DHJ, Ansari M, Hosie A, Kanji S, Momoli F, Bush SH, Watanabe S, Currow DC, Gagnon B, Agar M, Bruera E, Meagher DJ, de Rooij SEJA, Adamis D, Caraceni A, Marchington K, Stewart DJ. An analytical framework for delirium research in palliative care settings: integrated epidemiologic, clinician-researcher, and knowledge user perspectives. J Pain Symptom Manage 2014; 48:159-175. [PMID: 24726762 PMCID: PMC4128755 DOI: 10.1016/j.jpainsymman.2013.12.245] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2013] [Revised: 11/24/2013] [Accepted: 12/09/2013] [Indexed: 12/30/2022]
Abstract
CONTEXT Delirium often presents difficult management challenges in the context of goals of care in palliative care settings. OBJECTIVES The aim was to formulate an analytical framework for further research on delirium in palliative care settings, prioritize the associated research questions, discuss the inherent methodological challenges associated with relevant studies, and outline the next steps in a program of delirium research. METHODS We combined multidisciplinary input from delirium researchers and knowledge users at an international delirium study planning meeting, relevant literature searches, focused input of epidemiologic expertise, and a meeting participant and coauthor survey to formulate a conceptual research framework and prioritize research questions. RESULTS Our proposed framework incorporates three main groups of research questions: the first was predominantly epidemiologic, such as delirium occurrence rates, risk factor evaluation, screening, and diagnosis; the second covers pragmatic management questions; and the third relates to the development of predictive models for delirium outcomes. Based on aggregated survey responses to each research question or domain, the combined modal ratings of "very" or "extremely" important confirmed their priority. CONCLUSION Using an analytical framework to represent the full clinical care pathway of delirium in palliative care settings, we identified multiple knowledge gaps in relation to the occurrence rates, assessment, management, and outcome prediction of delirium in this population. The knowledge synthesis generated from adequately powered, multicenter studies to answer the framework's research questions will inform decision making and policy development regarding delirium detection and management and thus help to achieve better outcomes for patients in palliative care settings.
Collapse
Affiliation(s)
- Peter G Lawlor
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Daniel H J Davis
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Mohammed Ansari
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Annmarie Hosie
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Salmaan Kanji
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Franco Momoli
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Shirley H Bush
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Sharon Watanabe
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - David C Currow
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Bruno Gagnon
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Meera Agar
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Eduardo Bruera
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - David J Meagher
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Sophia E J A de Rooij
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Dimitrios Adamis
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Augusto Caraceni
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Katie Marchington
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - David J Stewart
- Division of Palliative Care (P.G.L.), Department of Medicine, Epidemiology and Community Medicine, University of Ottawa; Bruyère Research Institute (P.G.L., S.H.B.), Bruyère Continuing Care; The Ottawa Hospital Research Institute (P.G.L., S.K.), Ottawa, Ontario, Canada; Institute of Public Health (D.H.J.D.), University of Cambridge, Cambridge, United Kingdom; Knowledge Synthesis Group (M.An.), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Faculty of Nursing (A.H.), University of Notre Dame, Sydney, New South Wales, Australia; The Ottawa Hospital (S.K.); Clinical Epidemiology Program (F.M.), Ottawa Hospital Research Institute; Children's Hospital of Eastern Ontario Research Institute (F.M.), University of Ottawa; Division of Palliative Care (S.H.B.), Department of Medicine, University of Ottawa, Ottawa, Ontario; Department of Symptom Control and Palliative Care (S.W.), Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada; Discipline of Palliative and Supportive Services (D.C.C., M.Ag.), Flinders University, Adelaide, South Australia, Australia; Département de médecine familiale et de médecine d'urgence (B.G.), Université Laval; Centre de recherche du CHU de Québec (B.G.), Québec City, Québec, Canada; South West Sydney Clinical School (M.Ag.), University of New South Wales; Department of Palliative Care (M.Ag.), Braeside Hospital, Hammond Care, Sydney, New South Wales, Australia; The University of Texas M. D. Anderson Cancer Center (E.B.), Houston, Texas, USA; Graduate Entry Medical School (D.J.M.), University of Limerick, Limerick, Ireland; Academic Medical Centre (S.E.J.A.d.R.), University of Amsterdam, Amsterdam, The Netherlands; Research and Academic Institute of Athens (D.A.), Athens, Greece; Palliative Care, Pain Therapy and Rehabilitation Unit (A.C.), Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy; Department of Palliative Care (K.M.), Bruyère Continuing Care; and Department of Medical Oncology (D.J.S.), The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| |
Collapse
|
49
|
Davis DHJ, Barnes LE, Stephan BCM, MacLullich AMJ, Meagher D, Copeland J, Matthews FE, Brayne C. The descriptive epidemiology of delirium symptoms in a large population-based cohort study: results from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS). BMC Geriatr 2014; 14:87. [PMID: 25066510 PMCID: PMC4126352 DOI: 10.1186/1471-2318-14-87] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Accepted: 07/14/2014] [Indexed: 11/23/2022] Open
Abstract
Background In the general population, the epidemiological relationships between delirium and adverse outcomes are not well defined. The aims of this study were to: (1) construct an algorithm for the diagnosis of delirium using the Geriatric Mental State (GMS) examination; (2) test the criterion validity of this algorithm against mortality and dementia risk; (3) report the age-specific prevalence of delirium as determined by this algorithm. Methods Participant and informant data in a randomly weighted subsample of the Cognitive Function and Ageing Study were taken from a standardized assessment battery. The algorithmic definition of delirium was based on the DSM-IV classification. Outcomes were: proportional hazard ratios for death; odds ratios of dementia at 2-year follow-up. Results Data from 2197 persons (representative of 13,004) were used, median age 77 years, 64% women. Study-defined delirium was associated with a new dementia diagnosis at two years (OR 8.82, 95% CI 2.76 to 28.2) and death (HR 1.28, 95% CI 1.03 to 1.60), even after adjustment for acute illness severity. Similar associations were seen for study-defined subsyndromal delirium. Age-specific prevalence as determined by the algorithm increased with age from 1.8% in the 65-69 year age group to 10.1% in the ≥85 age group (p < 0.01 for trend). For study-defined subsyndromal delirium, age-specific period prevalence ranged from 8.2% (65-69 years) to 36.1% (≥85 years). Conclusions These results demonstrate the possibility of constructing an algorithmic diagnosis for study-defined delirium using data from the GMS schedule, with predictive criterion validity for mortality and dementia risk. These are the first population-based analyses able to account prospectively for both illness severity and an earlier study diagnosis of dementia.
Collapse
Affiliation(s)
- Daniel H J Davis
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Kamholz B, Blazer DG. Progress in delirium. Am J Geriatr Psychiatry 2013; 21:1169-72. [PMID: 24206936 DOI: 10.1016/j.jagp.2013.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Revised: 10/08/2013] [Accepted: 10/08/2013] [Indexed: 10/26/2022]
|