Evidence map›Paper›PMID 35775799›Full record

ArticleTurkish journal of anaesthesiology and reanimation2022

Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study.

Charles-Hervé Vacheron, Laurent Bitker, Fabrice Thiolliére, Fabien Subtil, Paul Abraham, Vincent Collange, Baptiste Balança, Max Haïne, Céline Guichon, Christophe Leroy and 8 more

Abstract read
In one paragraph

Article in Turkish journal of anaesthesiology and reanimation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Charles-Hervé VacheronDepartment of Anaesthesiology and Reanimation, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France; Biometrics and Evolutionary Biology Laboratory, Biostatistics-Health Team, Hospices Civils de Lyon, Villeurbanne, France; Division of Public Health, Department of Biostatistics and Bioinformatics, Lyon, France.
Laurent BitkerDepartment of Intensive Medicine and Resuscitation, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Fabrice ThiolliéreDepartment of Anaesthesiology and Reanimation, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Fabien SubtilBiometrics and Evolutionary Biology Laboratory, Biostatistics-Health Team, Hospices Civils de Lyon, Villeurbanne, France.
Paul AbrahamDepartment of Anaesthesia and Resuscitation, Édouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France; Claude Bernard University Faculty of Medicine, Lyon, France.
Vincent CollangeMedipole Lyon Villeurbanne Hospital, Villeurbanne, France.
Baptiste BalançaDepartment of Anaesthesia and Resuscitation, Pierre Wertheimer Hospital, Hospices Civils de Lyon, Lyon, France.
Max HaïneNorth West Hospital of Villefranche, France.
Céline GuichonInter-University Laboratory of Human Movement Biology, Villeurbanne, France; Department of Anaesthesia and Surgical Resuscitation, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Christophe LeroyDepartment of Intensive Care Medicine, Emile Roux Hospital Center, le Puy en Velay, France.
Marie SimonDepartment of Anaesthesia and Resuscitation, Édouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.
Amélie MalapertPlateforme IC-HCL, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Mélanie RochePlateforme IC-HCL, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Jean-Baptiste PialatClaude Bernard University Faculty of Medicine, Lyon, France.
Laurent JalladesDepartment of Biological Hematology, Lyon Sud Hospital South Biology and Pathology Center, Pierre-Bénite, France.
Alain LepapeDepartment of Intensive Care, Henry Gabrielle Hospital, Hospices Civils de Lyon, Lyon, France; Department of Critical Care, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France.
Arnaud FriggeriDepartment of Anaesthesiology and Reanimation, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Claire FalandryDivision of Geriatrics, Center Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdmission in the intensive care unit of the old patient with coronavirus disease 19 raises an ethical question concerning the scarce resources and their short-term mortality.

methodsPatients aged over 60 from 7 different intensive care units admitted between March 1, 2020 and May 6, 2020, with a diagnosis of coronavirus disease 19 were included in the cohort. Twenty variables were collected during the admission, such as age, severity (Simplified Acute Physiology Score [SAPS] II), several data on physiological status before intensive care unit comorbidities, evaluation of autonomy, frailty, and biological variables. The objective was to model the 30-day mortality with relevant variables, compute their odds ratio associated with their 95% CI, and produce a nomogram to easily estimate and communicate the 30-day mortality. The performance of the model was estimated with the area under the receiving operating curve.

resultsWe included 231 patients, among them 60 (26.0%) patients have died on the 30th day. The relevant variables selected to explain the 30-day mortality were Instrumental Activities of Daily Living (IADL) score (0.82 [0.71-0.94]), age 1.12 (1.07-1.18), SAPS II 1.05 (1.02-1.08), and dementia 6.22 (1.00-38.58). A nomogram was computed to visually represent the final model. Area under the receiving operating curve was at 0.833 (0.776-0.889).

conclusionsAge, autonomy, dementia, and severity at admission were important predictive variables for the 30-day mortality status, and the nomogram could help the physician in the decision-making process and the communication with the family.

Identifiers

PMID35775799
PMCPMC9629196

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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.