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1000 Titel
  • Implications for post critical illness trial design: sub-phenotyping trajectories of functional recovery among sepsis survivors
1000 Autor/in
  1. Puthucheary, Zudin A. |
  2. Gensichen, Jochen S. |
  3. Cakiroglu, Aylin S. |
  4. Cashmore, Richard |
  5. Edbrooke, Lara |
  6. Heintze, Christoph |
  7. Neumann, Konrad |
  8. Wollersheim, Tobias |
  9. Denehy, Linda |
  10. Schmidt, Konrad |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-25
1000 Erschienen in
1000 Quellenangabe
  • 24(1):577
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13054-020-03275-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517819/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Patients who survive critical illness suffer from a significant physical disability. The impact of rehabilitation strategies on health-related quality of life is inconsistent, with population heterogeneity cited as one potential confounder. This secondary analysis aimed to (1) examine trajectories of functional recovery in critically ill patients to delineate sub-phenotypes and (2) to assess differences between these cohorts in both clinical characteristics and clinimetric properties of physical function assessment tools.!##!Methods!#!Two hundred ninety-one adult sepsis survivors were followed-up for 24 months by telephone interviews. Physical function was assessed using the Physical Component Score (PCS) of the Short Form-36 Questionnaire (SF-36) and Activities of Daily Living and the Extra Short Musculoskeletal Function Assessment (XSFMA-F/B). Longitudinal trajectories were clustered by factor analysis. Logistical regression analyses were applied to patient characteristics potentially determining cluster allocation. Responsiveness, floor and ceiling effects and concurrent validity were assessed within clusters.!##!Results!#!One hundred fifty-nine patients completed 24 months of follow-up, presenting overall low PCS scores. Two distinct sub-cohorts were identified, exhibiting complete recovery or persistent impairment. A third sub-cohort could not be classified into either trajectory. Age, education level and number of co-morbidities were independent determinants of poor recovery (AUROC 0.743 ((95%CI 0.659-0.826), p < 0.001). Those with complete recovery trajectories demonstrated high levels of ceiling effects in physical function (PF) (15%), role physical (RP) (45%) and body pain (BP) (57%) domains of the SF-36. Those with persistent impairment demonstrated high levels of floor effects in the same domains: PF (21%), RP (71%) and BP (12%). The PF domain demonstrated high responsiveness between ICU discharge and at 6 months and was predictive of a persistent impairment trajectory (AUROC 0.859 (95%CI 0.804-0.914), p < 0.001).!##!Conclusions!#!Within sepsis survivors, two distinct recovery trajectories of physical recovery were demonstrated. Older patients with more co-morbidities and lower educational achievements were more likely to have a persistent physical impairment trajectory. In regard to trajectory prediction, the PF score of the SF-36 was more responsive than the PCS and could be considered for primary outcomes. Future trials should consider adaptive trial designs that can deal with non-responders or sub-cohort specific outcome measures more effectively.
1000 Sacherschließung
lokal Surveys and Questionnaires [MeSH]
lokal Research Design/standards [MeSH]
lokal Female [MeSH]
lokal Aged [MeSH]
lokal Recovery of Function/physiology [MeSH]
lokal Adult [MeSH]
lokal Survivors/psychology [MeSH]
lokal Humans [MeSH]
lokal Patient-reported outcome measures (PROMS)
lokal Middle Aged [MeSH]
lokal Post intensive care syndrome (PICS)
lokal Sepsis/physiopathology [MeSH]
lokal Physical function
lokal Health-related quality of life (HRQoL)
lokal Critical Illness/therapy [MeSH]
lokal Male [MeSH]
lokal Sepsis/complications [MeSH]
lokal Research
lokal Sepsis
lokal Survivors/statistics
lokal Phenotype [MeSH]
lokal Research Design/trends [MeSH]
lokal Co-morbidity
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UHV0aHVjaGVhcnksIFp1ZGluIEEu|https://frl.publisso.de/adhoc/uri/R2Vuc2ljaGVuLCBKb2NoZW4gUy4=|https://frl.publisso.de/adhoc/uri/Q2FraXJvZ2x1LCBBeWxpbiBTLg==|https://frl.publisso.de/adhoc/uri/Q2FzaG1vcmUsIFJpY2hhcmQ=|https://frl.publisso.de/adhoc/uri/RWRicm9va2UsIExhcmE=|https://frl.publisso.de/adhoc/uri/SGVpbnR6ZSwgQ2hyaXN0b3Bo|https://frl.publisso.de/adhoc/uri/TmV1bWFubiwgS29ucmFk|https://frl.publisso.de/adhoc/uri/V29sbGVyc2hlaW0sIFRvYmlhcw==|https://frl.publisso.de/adhoc/uri/RGVuZWh5LCBMaW5kYQ==|https://orcid.org/0000-0001-5879-0664
1000 Hinweis
  • DeepGreen-ID: 1796e74d9d6d4adaa153acf2934440d8 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-15T16:29:46.345+0100
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1000 Objekt bearb. Thu Nov 30 21:00:10 CET 2023
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