Evidence map›Paper›PMID 28622004›Full record

ArticleAnnals of the American Thoracic Society2017

Six-Month Morbidity and Mortality among Intensive Care Unit Patients Receiving Life-Sustaining Therapy. A Prospective Cohort Study.

Michael E Detsky, Michael O Harhay, Dominique F Bayard, Aaron M Delman, Anna E Buehler, Saida A Kent, Isabella V Ciuffetelli, Elizabeth Cooney, Nicole B Gabler, Sarah J Ratcliffe and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of the American Thoracic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

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

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

  1. Pooled it
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  10. Indian Society of Critical Care Medicine and Indian Association of Palliative Care Expert Consensus and Position Statements for End-of-life and Palliative Care in the Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
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  14. Swallowing biomechanics in tracheostomised critically ill patients compared to age- and gender-matched healthy controls.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Michael E Detsky1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Michael O Harhay1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.ORCID http://orcid.org/0000-0002-0553-674X
Dominique F Bayard7 Pulmonary and Critical Care of Atlanta, Atlanta, Georgia.
Aaron M Delman8 Wayne State University School of Medicine, Detroit, Michigan.
Anna E Buehler9 University of California, San Diego School of Medicine, San Diego, California.
Saida A Kent10 University of Kentucky College of Medicine, Lexington, Kentucky.
Isabella V Ciuffetelli1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Elizabeth Cooney1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Nicole B Gabler1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Sarah J Ratcliffe5 Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Mark E Mikkelsen5 Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Scott D Halpern1 Palliative and Advanced Illness Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.

Funding

Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Methods to improve the detection of treatment effects in ARDS clinical trialsF31HL127947 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2015 to 2016
$71k
NHLBI NIH HHS F31 HL127947NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

rationaleUnderstanding long-term outcomes of critically ill patients may inform shared decision-making in the intensive care unit (ICU).

objectivesTo quantify 6-month functional outcomes of general ICU patients, and develop a multivariable model comprising factors present during the first ICU day to predict which patients will return to their baseline function 6 months later.

methodsWe conducted a prospective cohort study in three medical ICUs and two surgical ICUs in three hospitals. We enrolled patients who spent at least 3 days in the ICU and received mechanical ventilation for more than 48 hours and/or vasoactive infusions for more than 24 hours.

resultsWe measured 6-month outcomes including survival, return to original place of residence, and physical and cognitive function. Of 303 enrolled patients, 299 (98.7%) had complete follow-up at 6 months. Among the 169 patients (56.5%) who survived to 6 months, 82.8% returned home, 81.9% were able to toilet, 71.3% were able to ambulate 10 stairs, and 62.4% reported normal cognition. Overall, 31.1% of patients returned to their baseline status on these measures. Factors associated with not returning to baseline included higher APACHE III score, being a medical patient, older age, nonwhite race, recent hospitalization, prior transplantation, and a history of cancer or of neurologic or liver disease. A model including only these Day 1 factors had good discrimination (area under receiver operating characteristic curve, 0.778; 95% confidence interval, 0.724-0.832) and calibration (difference between observed and expected P value, 0.36).

conclusionsAmong patients spending at least 3 days in an ICU and requiring even brief periods of life-sustaining therapy, nearly one-half will be dead and less than one-third will have returned to their baseline status at 6 months. Of those who survive, the majority of patients will be back at home at 6 months. Future research is needed to validate this multivariable model, including readily available patient characteristics available on the first ICU day, that seems to identify patients who will return to baseline at 6 months.

Indexed as

AgedAPACHECritical CareCritical IllnessFemaleHospital MortalityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedMultivariate AnalysisPennsylvaniaProspective StudiesRespiration, ArtificialROC Curvefunctionintensive care unitlong-term outcomespost–intensive care syndrome

Identifiers

PMID28622004
PMCPMC5718567

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.