Literature DB >> 33357351

Frailty as a Prognostic Indicator in Intensive Care.

Christian Jung1, Raphael Romano Bruno, Bernhard Wernly, Georg Wolff, Michael Beil, Malte Kelm.   

Abstract

BACKGROUND: The percentage of patients in intensive care who are 80 years old or older is continually increasing. Such patients already made up more than 20% of all patients in intensive care in Germany in the years 2007-2011. Meanwhile, effective treatments that support the organs of the body and keep severely ill patients alive are also being continually developed and refined. Frailty is a key prognostic parameter. The scientifically based assessment of frailty can be highly useful in intensive care medicine with regard to consented decision-making, individualized prognostication, treatment planning, and aftercare.
METHODS: Pertinent publications were retrieved by a selective search in the PubMed database. On the basis of the literature assessment, a variety of screening instruments were used to assess frailty and its significance for very old, critically ill patients in German intensive care units.
RESULTS: Only a small number of screening instruments are suitable for routine use in German intensive care units. The scores vary in diagnostic precision. The Clinical Frailty Scale (CFS) enables highly accurate prognostication; it considers the patient in relation to his or her social environment, and to the reference population. Categorization is achieved by means of pictograms that are supplemented with brief written descriptions. The CFS can be used prospectively and is easy to learn. Its interrater reliability is high (weighted Cohen's κ: 0.85 [0.84; 0.87]), and it has been validated for routine use in intensive care units in Germany.
CONCLUSION: None of the available scores enable perfect prognostication. In Germany, frailty in intensive-care patients is currently best assessed on a simple visual scale (CFS).

Entities:  

Year:  2020        PMID: 33357351      PMCID: PMC7838379          DOI: 10.3238/arztebl.2020.0668

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   5.594


  50 in total

1.  The Eldicus prospective, observational study of triage decision making in European intensive care units. Part II: intensive care benefit for the elderly.

Authors:  Charles L Sprung; Antonio Artigas; Jozef Kesecioglu; Angelo Pezzi; Joergen Wiis; Romain Pirracchio; Mario Baras; David L Edbrooke; Antonio Pesenti; Jan Bakker; Chris Hargreaves; Gabriel Gurman; Simon L Cohen; Anne Lippert; Didier Payen; Davide Corbella; Gaetano Iapichino
Journal:  Crit Care Med       Date:  2012-01       Impact factor: 7.598

2.  Mortality in elderly ICU patients: a cohort study.

Authors:  M S Nielsson; C F Christiansen; M B Johansen; B S Rasmussen; E Tønnesen; M Nørgaard
Journal:  Acta Anaesthesiol Scand       Date:  2013-10-13       Impact factor: 2.105

3.  Predicting intensive care and hospital outcome with the Dalhousie Clinical Frailty Scale: a pilot assessment.

Authors:  C Fisher; D K Karalapillai; M Bailey; N G Glassford; R Bellomo; D Jones
Journal:  Anaesth Intensive Care       Date:  2015-05       Impact factor: 1.669

4.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

5.  The FRAIL Questionnaire: A Useful Tool for Bedside Screening of Geriatric Trauma Patients.

Authors:  Cathy A Maxwell; Mary S Dietrich; Richard S Miller
Journal:  J Trauma Nurs       Date:  2018 Jul/Aug       Impact factor: 1.010

Review 6.  Frailty biomarkers in humans and rodents: Current approaches and future advances.

Authors:  Alice E Kane; David A Sinclair
Journal:  Mech Ageing Dev       Date:  2019-04-17       Impact factor: 5.432

7.  A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans.

Authors:  J E Morley; T K Malmstrom; D K Miller
Journal:  J Nutr Health Aging       Date:  2012-07       Impact factor: 4.075

Review 8.  A Scoping Review of Frailty and Acute Care in Middle-Aged and Older Individuals with Recommendations for Future Research.

Authors:  David B Hogan; Colleen J Maxwell; Jonathan Afilalo; Rakesh C Arora; Sean M Bagshaw; Jenny Basran; Howard Bergman; Susan E Bronskill; Caitlin A Carter; Elijah Dixon; Brenda Hemmelgarn; Kenneth Madden; Arnold Mitnitski; Darryl Rolfson; Henry T Stelfox; Helen Tam-Tham; Hannah Wunsch
Journal:  Can Geriatr J       Date:  2017-03-31

9.  The hospital frailty risk score is of limited value in intensive care unit patients.

Authors:  Raphael Romano Bruno; Bernhard Wernly; Hans Flaatten; Fabian Schölzel; Malte Kelm; Christian Jung
Journal:  Crit Care       Date:  2019-07-02       Impact factor: 9.097

10.  Clinical Frailty Scale (CFS) reliably stratifies octogenarians in German ICUs: a multicentre prospective cohort study.

Authors:  Johanna M Muessig; Amir M Nia; Maryna Masyuk; Alexander Lauten; Anne Lena Sacher; Thorsten Brenner; Marcus Franz; Frank Bloos; Henning Ebelt; Stefan J Schaller; Kristina Fuest; Christian Rabe; Thorben Dieck; Stephan Steiner; Tobias Graf; Rolf A Jánosi; Patrick Meybohm; Philipp Simon; Stefan Utzolino; Tim Rahmel; Eberhard Barth; Michael Schuster; Malte Kelm; Christian Jung
Journal:  BMC Geriatr       Date:  2018-07-13       Impact factor: 3.921

View more
  6 in total

1.  [Trial of the GeriNOT screening tool : Identification of geriatric risk potentials on admission to hospital care from the age of 70 years].

Authors:  Beate Feist; Birgit Feindt; Lysann Kasprick; Christoph Baerwald; Andreas Simm; Ursula Müller-Werdan; Ralf Sultzer; Johann Behrens
Journal:  Z Gerontol Geriatr       Date:  2022-04-10       Impact factor: 1.281

Review 2.  [Core curriculum Medical intensive care medicine of the German Society of Medical Intensive Care and Emergency Medicine (DGIIN)].

Authors:  S John; R Riessen; C Karagiannidis; U Janssens; H-J Busch; M Kochanek; G Michels; C Hermes; M Buerke; S Kluge; M Baumgärtel; S Braune; F Erbguth; V Fuhrmann; P Lebiedz; K Mayer; U Müller-Werdan; M Oppert; F Sayk; D Sedding; C Willam; K Werdan
Journal:  Med Klin Intensivmed Notfmed       Date:  2021-01-11       Impact factor: 0.840

Review 3.  [COVID-19 in old age-The geriatric perspective].

Authors:  R Wirth; C Becker; M Djukic; C Drebenstedt; H J Heppner; A H Jacobs; M Meisel; G Michels; R Nau; J Pantel; J M Bauer
Journal:  Z Gerontol Geriatr       Date:  2021-02-17       Impact factor: 1.281

4.  [Clinical importance of the detection of frailty].

Authors:  Petra Benzinger; Annette Eidam; Jürgen M Bauer
Journal:  Z Gerontol Geriatr       Date:  2021-03-29       Impact factor: 1.292

5.  Intensive care of geriatric patients-a thin line between under- and overtreatment.

Authors:  Hans Jürgen Heppner; Hag Haitham
Journal:  Wien Med Wochenschr       Date:  2022-01-10

6.  Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation.

Authors:  Christian Jung; Behrooz Mamandipoor; Jesper Fjølner; Raphael Romano Bruno; Bernhard Wernly; Antonio Artigas; Bernardo Bollen Pinto; Joerg C Schefold; Georg Wolff; Malte Kelm; Michael Beil; Sigal Sviri; Peter V van Heerden; Wojciech Szczeklik; Miroslaw Czuczwar; Muhammed Elhadi; Michael Joannidis; Sandra Oeyen; Tilemachos Zafeiridis; Brian Marsh; Finn H Andersen; Rui Moreno; Maurizio Cecconi; Susannah Leaver; Dylan W De Lange; Bertrand Guidet; Hans Flaatten; Venet Osmani
Journal:  JMIR Med Inform       Date:  2022-03-31
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.