Evidence map›Paper›PMID 30005622›Full record

ArticleBMC geriatrics2018

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

Johanna M Muessig, Amir M Nia, Maryna Masyuk, Alexander Lauten, Anne Lena Sacher, Thorsten Brenner, Marcus Franz, Frank Bloos, Henning Ebelt, Stefan J Schaller and 14 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03134807 (The Very Old Intensive Care Patient), which is not on this map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03134807 completednot on this map

The Very Old Intensive Care Patient: A Multinational Prospective Observation Study

TypeobservationalSponsorUniversity of BergenRan2016 to 2017Enrolled5,132ConditionsCritical Illness, Old Age, Debility, SurvivalArmsObservation prospective
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Observational
  8. Observational
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Johanna M MuessigDivision of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
Amir M NiaDivision of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany. amir.nia@med.uni-duesseldorf.de.
Maryna MasyukDivision of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
Alexander LautenDepartment of Cardiology, Charité - University Hospital, Berlin, Germany.
Anne Lena SacherDepartment of Anaesthesiology and Operative Intensive Care Medicine, Campus Charité Mitte and Campus Virchow-Klinikum, Berlin, Germany.
Thorsten BrennerDepartment of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
Marcus FranzDepartment of Internal Medicine I, Friedrich-Schiller-University, University Hospital Jena, Jena, Germany.
Frank BloosDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Jena, Jena, Germany.
Henning EbeltDepartment for Medicine II, Catholic Hospital "St. Johann Nepomuk", Erfurt, Germany.
Stefan J SchallerDepartment of Anaesthesiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Kristina FuestDepartment of Anaesthesiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Christian RabeDepartment of Clinical Toxicology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Thorben DieckDepartment of Anaesthesiology and Intensive Care, Hannover Medical School, Hannover, Germany.
Stephan SteinerSt. Vincenz Hospital, Department of Cardiology, Pneumology and Intensive Care Medicine, Limburg/Lahn, Limburg, Germany.
Tobias GrafUniversity Heart Center Luebeck, Department of Cardiology, Angiology, and Intensive Care Medicine, University Hospital Schleswig-Holstein, Luebeck, Germany.
Rolf A JánosiMedical Faculty, West German Heart and Vascular Center, Department of Cardiology and Vascular Diseases, University Hospital Essen, Essen, Germany.
Patrick MeybohmDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Frankfurt/Main, Germany.
Philipp SimonDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital of Leipzig, Leipzig, Germany.
Stefan UtzolinoDepartment of General and Visceral Surgery, University Hospital Freiburg, Freiburg, Germany.
Tim RahmelDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Knappschaftskrankenhaus Bochum, Bochum, Germany.
Eberhard BarthDivision of Intensive Care Medicine, Department of Anaesthesiology, University Hospital Ulm, Ulm, Germany.
Michael SchusterDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Mainz, Mainz, Germany.
Malte KelmDivision of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
Christian JungDivision of Cardiology, Pulmonology, and Vascular Medicine, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn intensive care units (ICU) octogenarians become a routine patients group with aggravated therapeutic and diagnostic decision-making. Due to increased mortality and a reduced quality of life in this high-risk population, medical decision-making a fortiori requires an optimum of risk stratification. Recently, the VIP-1 trial prospectively observed that the clinical frailty scale (CFS) performed well in ICU patients in overall-survival and short-term outcome prediction. However, it is known that healthcare systems differ in the 21 countries contributing to the VIP-1 trial. Hence, our main focus was to investigate whether the CFS is usable for risk stratification in octogenarians admitted to diversified and high tech German ICUs.

methodsThis multicentre prospective cohort study analyses very old patients admitted to 20 German ICUs as a sub-analysis of the VIP-1 trial. Three hundred and eight patients of 80 years of age or older admitted consecutively to participating ICUs. CFS, cause of admission, APACHE II, SAPS II and SOFA scores, use of ICU resources and ICU- and 30-day mortality were recorded. Multivariate logistic regression analysis was used to identify factors associated with 30-day mortality.

resultsPatients had a median age of 84 [IQR 82-87] years and a mean CFS of 4.75 (± 1.6 standard-deviation) points. More than half of the patients (53.6%) were classified as frail (CFS ≥ 5). ICU-mortality was 17.3% and 30-day mortality was 31.2%. The cause of admission (planned vs. unplanned), (OR 5.74) and the CFS (OR 1.44 per point increase) were independent predictors of 30-day survival.

conclusionsThe CFS is an easy determinable valuable tool for prediction of 30-day ICU survival in octogenarians, thus, it may facilitate decision-making for intensive care givers in Germany.

trial registrationThe VIP-1 study was retrospectively registered on ClinicalTrials.gov (ID: NCT03134807 ) on May 1, 2017.

Indexed as

Intensive Care UnitsAged, 80 and overCritical CareFemaleFrailtyGermanyHospitalizationHospital MortalityHumansMaleMultivariate AnalysisProspective StudiesQuality of LifeRetrospective StudiesRisk FactorsClinical frailty scaleFrailtyIntensive care outcomeVIP1

Identifiers

PMID30005622
PMCPMC6044022

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.