A Two Biomarker Model Predicts Mortality in the Critically Ill with Sepsis (Q40247310)

28418697

18 September 2017

title

A Two Biomarker Model Predicts Mortality in the Critically Ill with Sepsis (English)

1 reference

18 September 2017

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0 references

3

1 reference

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6 June 2020

Cassianne Robinson-Cohen

5

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6 June 2020

8

Ronit Katz

1 reference

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6 June 2020

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Jonathan Himmelfarb

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6 June 2020

9

David C Christiani

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6 June 2020

7

William O Hahn

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6 June 2020

1

Carmen Mikacenic

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6 June 2020

11

W Conrad Liles

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6 June 2020

12

Mark M Wurfel

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6 June 2020

author name string

Brenda L Price

2

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6 June 2020

D Shane O'Mahony

4

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6 June 2020

Frank Radella

6

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6 June 2020

language of work or name

English

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publication date

18 April 2017

1 reference

28418697

American Journal of Respiratory and Critical Care Medicine

18 September 2017

published in

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volume

196

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issue

8

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6 June 2020

page(s)

1004-1011

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Acute Respiratory Distress Syndrome Subphenotypes Respond Differently to Randomized Fluid Management Strategy.

6 June 2020

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PubMed

https://pubmed.ncbi.nlm.nih.gov/28418697

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Diagnostic efficacy and prognostic value of serum procalcitonin concentration in patients with suspected sepsis

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/28418697

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1164/RCCM.201611-2307OC

1 reference

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6 June 2020

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6 June 2020

28418697

1 reference