Evidence map›Paper›PMID 17992507›Full record

ArticleIntensive care medicine2008

C-reactive protein concentration as a predictor of in-hospital mortality after ICU discharge: a prospective cohort study.

Kwok M Ho, Kok Y Lee, Geoffrey J Dobb, Steven A R Webb

Abstract read
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In one paragraph

Article in Intensive care medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% of its field
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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 139 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Kwok M HoDepartment of Intensive Care, Royal Perth Hospital, 6000, Perth, WA, Australia. kwok.ho@health.wa.gov.au
Kok Y Lee
Geoffrey J Dobb
Steven A R Webb
Royal Perth Hospital · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective was to assess the ability of potential clinical predictors and inflammatory markers within 24 h of intensive care unit (ICU) discharge to predict subsequent in-hospital mortality. DESIGN AND

settingA prospective cohort study of 603 consecutive patients who survived their first ICU admission, between 1 June and 31 December 2005, in a 22-bed multidisciplinary ICU of a university hospital. MEASUREMENTS AND

resultsA total of 26 in-hospital deaths after ICU discharge (4.3%) were identified. C-reactive protein (CRP) concentrations at ICU discharge were associated with subsequent in-hospital mortality in the univariate analysis (mean CRP concentrations of non-survivors=174 vs. survivors=85.6 mg/l, p=0.001). CRP concentrations remained significantly associated with post-ICU mortality (a 10-mg/l increment in CRP concentrations increased the odds ratio [OR] of death: 1.09, 95% confidence interval [CI]: 1.03-1.16); after adjusting for age, the Acute Physiology and Chronic Health Evaluation (APACHE) II predicted mortality, and the Delta Sequential Organ Failure Assessment (Delta SOFA) score. The area under the receiver operating characteristic curve of this multivariate model to discriminate between survivors and non-survivors after ICU discharge was 0.85 (95% CI: 0.73-0.96). The destination and timing of ICU discharge, and the Discharge SOFA score, white cell counts and fibrinogen concentrations at ICU discharge were not significantly associated with in-hospital mortality after ICU discharge.

conclusionsA high CRP concentration at ICU discharge was an independent predictor of in-hospital mortality after ICU discharge in our ICU.

Indexed as

Hospital MortalityAdultAgedAPACHEBiomarkersC-Reactive ProteinCritical IllnessFemaleHumansInflammationIntensive Care UnitsMaleMiddle AgedPatient DischargePatient TransferPredictive Value of TestsBiomarkersC-Reactive Protein

Identifiers

PMID17992507
OpenAlexW1965167686

What OpenQuestion holds

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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.