Evidence map›Paper›PMID 20350299›Full record

ArticleCritical care (London, England)2010

Prognostic value of cell-free plasma DNA in patients with cardiac arrest outside the hospital: an observational cohort study.

Francisco Arnalich, Marta Menéndez, Verónica Lagos, Enrique Ciria, Angustias Quesada, Rosa Codoceo, Juan José Vazquez, Eduardo López-Collazo, Carmen Montiel

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  7. The Role of Danger Signals in the Pathogenesis and Perpetuation of Critical Illness.American journal of respiratory and critical care medicine · 2018
    Review
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  9. Observational
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  14. Year in review 2011: Critical Care--Cardiology.Critical care (London, England) · 2012
    Review
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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

9 authors at 2 institutions in 1 country.

Francisco ArnalichEmergency Medicine Department, Internal Medicine Service, Hospital Universitario La Paz, IDIPaz, Paseo de la Castellana 261, Madrid, Spain. farnalich.hulp@salud.madrid.org
Marta Menéndez
Verónica Lagos
Enrique Ciria
Angustias Quesada
Rosa Codoceo
Juan José Vazquez
Eduardo López-Collazo
Carmen Montiel
Hospital Universitario La Paz · ESUniversidad Autónoma de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany approaches have been examined to try to predict patient outcome after cardiopulmonary resuscitation. It has been shown that plasma DNA could predict mortality in critically ill patients but no data are available regarding its clinical value in patients after out-of-hospital cardiac arrest. In this study we investigated whether plasma DNA on arrival at the emergency room may be useful in predicting the outcome of these patients.

methodsWe performed a prospective study of out-of-hospital patients with cardiac arrest who achieved return of spontaneous circulation after successful resuscitation. Cardiovascular co-morbidities and resuscitation history were recorded according to the Utstein Style. The outcome measures were 24 h and overall in-hospital mortality. Cell-free plasma DNA was measured by real-time quantitative PCR assay for the beta-globin gene in blood samples drawn within two hours after the arrest. Descriptive statistics, multiple logistic regression analysis, and receiver operator characteristic (ROC) curves were calculated.

resultsEighty-five consecutive patients were analyzed with a median time to return of spontaneous circulation of 27 minutes (interquartile range (IQR) 18 to 35). Thirty patients died within 24 h and 58 died during the hospital course. Plasma DNA concentrations at admission were higher in non-survivors at 24 h than in survivors (median 5,520 genome equivalents (GE)/ml, vs 2810 GE/ml, P < 0.01), and were also higher in patients who died in the hospital than in survivors to discharge (median 4,150 GE/ml vs 2,460 GE/ml, P < 0.01). Lactate clearance at six hours was significantly higher in 24 h survivors (P < 0.05). The area under the ROC curves for plasma DNA to predict 24-hour mortality and in-hospital mortality were 0.796 (95% confidence interval (CI) 0.701 to 0.890) and 0.652 (95% CI 0.533 to 0.770). The best cut-off value of plasma DNA for 24-h mortality was 4,340 GE/ml (sensitivity 76%, specificity 83%), and for in-hospital mortality was 3,485 GE/ml (sensitivity 63%, specificity 69%). Multiple logistic regression analysis showed that the risk of 24-h and of in-hospital mortality increased 1.75-fold and 1.36-fold respectively, for every 500 GE/ml increase in plasma DNA.

conclusionsPlasma DNA levels may be a useful biomarker in predicting outcome after out-of hospital cardiac arrest.

Indexed as

Predictive Value of TestsAgedbeta-GlobinsBiomarkersCardiopulmonary ResuscitationCohort StudiesComorbidityDNAFemaleHeart ArrestHospital MortalityHumansLogistic ModelsMaleMiddle AgedObservationbeta-GlobinsBiomarkersDNA

Identifiers

PMID20350299
PMCPMC2887159
OpenAlexW2169513213

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.