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Sutton L, Bell E, Every-Palmer S, Weatherall M, Skirrow P. Survivorship outcomes for critically ill patients in Australia and New Zealand: A scoping review. Aust Crit Care 2024; 37:354-368. [PMID: 37684157 DOI: 10.1016/j.aucc.2023.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/14/2023] [Accepted: 07/21/2023] [Indexed: 09/10/2023] Open
Abstract
INTRODUCTION Impairments after critical illness, termed the post-intensive care syndrome, are an increasing focus of research in Australasia. However, this research is yet to be cohesively synthesised and/or summarised. OBJECTIVE The aim of this scoping review was to explore patient outcomes of survivorship research, identify measures, methodologies, and designs, and explore the reported findings in Australasia. INCLUSION CRITERIA Studies reporting outcomes for adult survivors of critical illness from Australia and New Zealand in the following domains: physical, functional, psychosocial, cognitive, health-related quality of life (HRQoL), discharge destination, health care use, return to work, and ongoing symptoms/complications of critical illness. METHODS The Joanna Briggs Institute scoping review methodology framework was used. A protocol was published on the open science framework, and the search used Ovid MEDLINE, Scopus, ProQuest, and Google databases. Eligible studies were based on reports from Australia and New Zealand published in English between January 2000 and March 2022. RESULTS There were 68 studies identified with a wide array of study aims, methodology, and designs. The most common study type was nonexperimental cohort studies (n = 17), followed by studies using secondary analyses of other study types (n = 13). HRQoL was the most common domain of recovery reported. Overall, the identified studies reported that impairments and activity restrictions were associated with reduced HRQoL and reduced functional status was prevalent in survivors of critical illness. About 25% of 6-month survivors reported some form of disability. Usually, by 6 to12 months after critical illness, impairments had improved. CONCLUSIONS Reports of long-term outcomes for survivors of critical illness in Australia highlight that impairments and activity limitations are common and are associated with poor HRQoL. There was little New Zealand-specific research related to prevalence, impact, unmet needs, ongoing symptoms, complications from critical illness, and barriers to recovery.
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Affiliation(s)
- Lynsey Sutton
- Clinical Nurse Specialist, Wellington Intensive Care Unit, Wellington Regional Hospital, Te Whatu Ora Capital, Coast and Hutt Valley, Riddiford Street, Newtown, Wellington 6021, New Zealand; Department of Psychological Medicine, University of Otago, Wellington, New Zealand.
| | - Elliot Bell
- Department of Psychological Medicine, University of Otago, Wellington, New Zealand.
| | - Susanna Every-Palmer
- Department of Psychological Medicine, University of Otago, Wellington, New Zealand.
| | - Mark Weatherall
- Department of Medicine, University of Otago, Wellington, New Zealand.
| | - Paul Skirrow
- Department of Psychological Medicine, University of Otago, Wellington, New Zealand.
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Dietrich C, Cardoso JR, Vargas F, Sanchez EC, Dutra FH, Moreira C, Bessel M, Robinson C, Falavigna M, Teixeira C. Functional ability in younger and older elderlies after discharge from the intensive care unit. A prospective cohort. Rev Bras Ter Intensiva 2018; 29:293-302. [PMID: 29044302 PMCID: PMC5632971 DOI: 10.5935/0103-507x.20170055] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 04/05/2017] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To compare the functional capacity of younger elderly individuals (60 to 79 years old) with that of older elderly individuals (≥ 80 years old) during the first 6 months after discharge from the intensive care unit. METHODS A multicenter prospective cohort study was conducted, in which data on intensive care unit admission and outcomes after hospital discharge (immediate post-discharge, after 3 months and after 6 months) were collected. Muscle strength was evaluated through the protocol of the Medical Research Council and dynamometry (handgrip); the ability to perform activities of daily life and functional independence were assessed by the Barthel index and the usual level of physical activity (International Physical Activity Questionnaire); and quality of life was assessed by the 12-Item Short-Form Health Survey Version 2. RESULTS Among the 253 patients included, 167 were younger elderly (between 61 and 79 years old), and 86 were older elderly (≥ 80 years old). During the sixth month of evaluation, the older elderlies presented a higher need for a caregiver (69.0% versus 49, 5%, p = 0.002). Functional capacity prior to intensive care unit admission and in the third month after discharge was lower in older elderlies than in younger ones (Barthel prior to the intensive care unit: 73.0 ± 30.0 versus 86.5 ± 22.6; p <0.001, Barthel in the third month: 63.5 ± 34.0 versus 71.5 ± 35.5, p = 0.03), as was the usual level of physical activity (International Physical Activity Questionnaire in the third month: active/very active 3.4% versus 18.3%, no physical activity 64.4% versus 39.7%, p < 0.001, and International Physical Activity Questionnaire in the sixth month: active/very active 5.8% versus 20.8%, no physical activity 69.2% versus 43.4%, p = 0.005). Older elderlies had lower muscle strength when assessed according to handgrip in both the dominant (14.5 ± 7.7 versus 19.9 ± 9.6, p = 0.008) and non-dominant limb (13.1 ± 6.7 versus 17.5 ± 9.1, p = 0.02). There were no differences in functional capacity loss or reported quality of life between the age groups. CONCLUSION Although there were great functional capacity losses after discharge from the intensive care unit in both age groups, there was no difference in the magnitude of functional capacity loss between younger (60 to 79 years) and older elderly individuals (≥ 80 years old) during the first 6 months after discharge from the intensive care unit.
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Affiliation(s)
- Camila Dietrich
- Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre - Porto Alegre (RS), Brasil
| | - Juliana Rezende Cardoso
- Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre - Porto Alegre (RS), Brasil
| | - Fernanda Vargas
- Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre - Porto Alegre (RS), Brasil
| | | | | | - Cátia Moreira
- Hospital Moinhos de Vento - Porto Alegre (RS), Brasil
| | - Marina Bessel
- Hospital Moinhos de Vento - Porto Alegre (RS), Brasil
| | | | | | - Cassiano Teixeira
- Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre - Porto Alegre (RS), Brasil.,Hospital Moinhos de Vento - Porto Alegre (RS), Brasil
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Silva JBVBD, Pedreira LC, Santos JLP, Barros CSMA, David RAR. Perfil clínico de longevos em uma unidade de terapia intensiva. ACTA PAUL ENFERM 2018. [DOI: 10.1590/1982-0194201800007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Resumo Objetivo: Identificar o perfil clínico e sócio demográfico de longevos em uma unidade de terapia intensiva. Métodos: Estudo transversal, retrospectivo e quantitativo, realizado na UTI de um hospital privado de Salvador. Participaram os longevos admitidos entre janeiro de 2014 e dezembro de 2015, internados por um período igual ou superior a 24 horas. Os dados foram coletados nos prontuários eletrônicos dos pacientes. O instrumento de coleta foi construído a partir das informações contidas principalmente no histórico de enfermagem, para registro das variáveis sócio demográficas e clínicas. Os dados coletados foram digitados no programa Excel 2010 e analisados por meio de um Software estatístico. Para a comparação entre as variáveis foi utilizado o teste χ2 de Pearson. Os resultados são apresentados em tabelas e sua discussão respaldada em evidências sobre o tema. Resultados: Dos 252 longevos identificados, 64,3% eram do sexo feminino. 63,9% tiveram como procedência a unidade de emergência, fator estatisticamente significante se relacionado com a mortalidade, e 91,3% deles apresentavam comorbidades, destacando-se as doenças crônicas não transmissíveis, principalmente as afecções cardiovasculares (81,7%) e a diabetes mellitus (32,9%). As manifestações não infecciosas (84,5%) foram as principais causas de internação. Na admissão, 71,0% apresentavam-se hidratados, 65,1% eutróficos, 39,3% em ventilação espontânea ao ar ambiente, 57,5% com diurese espontânea e 77,0% com pele íntegra. O tempo de internação prevaleceu entre 11 e 20 dias (24,6%), com grande desfecho de óbito (51,6%). Conclusão: Mesmo em condições favoráveis na admissão, os longevos tiveram alta permanência na unidade e elevado percentual de óbito.
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Outcomes of Nonagenarians Admitted to the Cardiac Intensive Care Unit by the Elders Risk Assessment Score for Long-Term Mortality Risk Stratification. Am J Cardiol 2017; 120:1421-1426. [PMID: 28844513 DOI: 10.1016/j.amjcard.2017.07.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 06/16/2017] [Accepted: 07/03/2017] [Indexed: 12/23/2022]
Abstract
There are limited data on outcomes of older adults admitted to cardiac intensive care units (CICU), and there are no data on outcomes after admission to the CICU in nonagenarians. Our purpose was to identify whether the Elders Risk Assessment (ERA) index could risk stratify older adults after CICU admission. We retrospectively identified 453 nonagenarians admitted to the CICU between 2004 and 2013. End points included mortality, length of stay, incidence of delirium, and discharge disposition. Average age of the cohort was 92 ± 2 years, and the average ERA score was 13 ± 6. A total of 258 patients were female (57%). Most common admission indication was acute decompensated heart failure (57%) followed by acute myocardial infarction (49%). Loss of independence was observed after CICU admission, with 66% of patients living independently before admission, decreasing to 47% at discharge. Overall length of stay was 6 ± 5 days and CICU stay was 2 ± 2 days. Fifteen percent of patients died before hospital discharge. Median survival was 452 (interquartile range 40 to 1,371) days. ERA score effectively predicted survival (log-rank test, p = 0.002). ERA score of 16 or greater and ERA score of 9 to 15 were both associated with increased risk of mortality compared with the reference (score 4 to 8): hazard ratio 2.00, 95% confidence interval 1.37 to 2.90, p = 0.003, and hazard ratio 1.48, 95% confidence interval 1.06 to 2.08, p = 0.02, respectively. In conclusion, nonagenarians admitted to CICU experience reasonable outcomes. The ERA score effectively risk stratifies nonagenarians admitted to the CICU and may help with identification of vulnerable patients at risk of adverse outcomes.
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Sav A, Salehi A, Mair FS, McMillan SS. Measuring the burden of treatment for chronic disease: implications of a scoping review of the literature. BMC Med Res Methodol 2017; 17:140. [PMID: 28899342 PMCID: PMC5596495 DOI: 10.1186/s12874-017-0411-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 08/31/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Although there has been growing research on the burden of treatment, the current state of evidence on measuring this concept is unknown. This scoping review aimed to provide an overview of the current state of knowledge as well as clear recommendations for future research, within the context of chronic disease. METHODS Four health-based databases, Scopus, CINAHL, Medline, and PsychInfo, were comprehensively searched for peer-reviewed articles published between the periods of 2000-2016. Titles and abstracts were independently read by two authors. All discrepancies between the authors were resolved by a third author. Data was extracted using a standardized proforma and a comparison analysis was used in order to explore the key treatment burden measures and categorize them into three groups. RESULTS Database searching identified 1458 potential papers. After removal of duplications, and irrelevant articles by title, 1102 abstracts remained. An additional 22 papers were added via snowball searching. In the end, 101 full papers were included in the review. A large number of the studies involved quantitative measures and conceptualizations of treatment burden (n = 64; 63.4%), and were conducted in North America (n = 49; 48.5%). There was significant variation in how the treatment burden experienced by those with chronic disease was operationalized and measured. CONCLUSION Despite significant work, there is still much ground to cover to comprehensively measure treatment burden for chronic disease. Greater qualitative focus, more research with cultural and minority populations, a larger emphasis on longitudinal studies and the consideration of the potential effects of "identity" on treatment burden, should be considered.
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Affiliation(s)
- Adem Sav
- School of Allied Health, Australian Catholic University, Banyo, Queensland Australia
- PO Box 456, Virginia, 4014 Australia
| | - Asiyeh Salehi
- Menzies Health Institute Queensland, Griffith University, University Drive, Meadowbrook, QLD Australia
| | - Frances S. Mair
- General Practice and Primary Care, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Sara S. McMillan
- Menzies Health Institute Queensland, Griffith University, University Drive, Meadowbrook, QLD Australia
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Heriot NR, Levinson MR, Mills AC, Khine TT, Gellie AL, Sritharan G. Diagnosing delirium in very elderly intensive care patients. Intensive Crit Care Nurs 2016; 38:10-17. [PMID: 27600028 DOI: 10.1016/j.iccn.2016.07.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 06/16/2016] [Accepted: 07/27/2016] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To determine the incidence of delirium in elderly intensive care patients and to compare incidence using two retrospective chart-based diagnostic methods and a hospital reporting measure (ICD-10). DESIGN Retrospective study. SETTING An ICU in a large metropolitan private hospital in Melbourne, Australia. PATIENTS English-speaking participants (n=348) 80+ years, admitted to ICU for >24 hours. MEASUREMENTS AND MAIN RESULTS Medical files of ICU patients admitted October 2009-October 2012 were retrospectively assessed for delirium using the Inouye chart review method, DSM-IV diagnostic criteria and ICD-10 coding data. General patient characteristics, first onset of delirium symptoms, source of delirium information, administration of delirium medication, hospital and ICU length of stay, 90 day mortality were documented. Delirium was found in 11-29% of patients, the highest incidence identified by chart review. Patients diagnosed with delirium had higher 90 day mortality, and those meeting criteria for all three methods had longer hospital and ICU length of stay. CONCLUSIONS ICU delirium in the elderly is often under-reported and strategies are needed to improve staff education and diagnosis.
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Affiliation(s)
- Natalie R Heriot
- Cabrini Institute, Cabrini-Monash Department of Medicine, Cabrini Hospital, Malvern, VIC, Australia
| | - Michele R Levinson
- Cabrini Institute, Cabrini-Monash Department of Medicine, Cabrini Hospital, Malvern, VIC, Australia; Monash University, VIC, Australia
| | - Amber C Mills
- Cabrini Institute, Cabrini-Monash Department of Medicine, Cabrini Hospital, Malvern, VIC, Australia.
| | | | - Anthea L Gellie
- Cabrini Institute, Cabrini-Monash Department of Medicine, Cabrini Hospital, Malvern, VIC, Australia
| | - Gaya Sritharan
- Cabrini Institute, Cabrini-Monash Department of Medicine, Cabrini Hospital, Malvern, VIC, Australia
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