Evidence map›Paper›PMID 16896849›Full record

ArticleIntensive care medicine2006

Predictors of early recovery of health status after intensive care.

Maurizia Capuzzo, Rui P Moreno, Barbara Jordan, Peter Bauer, Raffaele Alvisi, Philipp G H Metnitz

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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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

6 authors.

Maurizia CapuzzoDepartment of Surgical, Anaesthetic and Radiological Sciences, Service of Anaesthesiology & Intensive Care, University Hospital of Ferrara, Corso Giovecca 203, 44100, Ferrara, Italy. cpm@unife.it
Rui P Moreno
Barbara Jordan
Peter Bauer
Raffaele Alvisi
Philipp G H Metnitz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify factors predictive of good or poor recovery of health status and health-related quality of life (HRQOL) 90 days after admission to an intensive care unit (ICU). DESIGN AND

settingProspective international multicentre study in 19 ICUs participating in the HRQOL substudy of the SAPS 3 project.

interventionThe EuroQol questionnaire (EQ) was administered to discharged ICU patients 90 days after admission. A question to compare present health status with that 3 months before ICU admission (same/better/worse) was added. PATIENTS: Six hundred and eighteen patients who spent >24h in an ICU and survived for 90 days. EQ data and health comparison were available in 559 (90.5%) of them. MEASUREMENTS AND

resultsPatients reported their general level of health to be better (33.8%), the same (31.1%), or worse (35.1%) in comparison with baseline. Recovery was considered to be good for answers "better" or "the same". Regression analysis showed that transplantation surgery [odds ratio (OR) 0.07, 95% confidence interval (CI) 0.01-0.63], coronary artery bypass surgery without valvular repair (OR 0.39, 95% CI 0.17-0.92) and being admitted to the ICU from a ward or other location (OR 0.55, 95% CI 0.31-0.95) predicted good recovery of health. Predictors of poor recovery (all present at the time of ICU admission) were unplanned ICU admission, hypothermia, serum creatinine level >or=2mg/dl, pH<or=7.25 and metastatic cancer.

conclusionsMore than 60% of ICU patients report good recovery of their health 90 days after ICU admission, depending on their illness and circumstances of ICU admission.

Indexed as

Critical IllnessHealth StatusQuality of LifeRecovery of FunctionArgentinaEuropeFemaleHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedPrognosisProspective Studies

Identifiers

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Registered trials

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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.