Screening tools for predicting mortality of adults with suspected sepsis: an international sepsis cohort validation study.

dc.contributor.author

Blair, Paul W

dc.contributor.author

Mehta, Rittal

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Oppong, Chris Kwaku

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Tin, Som

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Ko, Emily

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Tsalik, Ephraim L

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Chenoweth, Josh

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Rozo, Michelle

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Adams, Nehkonti

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Beckett, Charmagne

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Woods, Christopher W

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Striegel, Deborah A

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Salvador, Mark G

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Brandsma, Joost

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McKean, Lauren

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Mahle, Rachael E

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Hulsey, William R

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Krishnan, Subramaniam

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Prouty, Michael

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Letizia, Andrew

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Fox, Anne

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Faix, Dennis

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Lawler, James V

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Duplessis, Chris

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Gregory, Michael G

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Vantha, Te

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Owusu-Ofori, Alex Kwame

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Ansong, Daniel

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Oduro, George

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Schully, Kevin L

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Clark, Danielle V

dc.date.accessioned

2023-04-01T16:22:52Z

dc.date.available

2023-04-01T16:22:52Z

dc.date.issued

2023-02

dc.date.updated

2023-04-01T16:22:51Z

dc.description.abstract

Objectives

We evaluated the performance of commonly used sepsis screening tools across prospective sepsis cohorts in the USA, Cambodia and Ghana.

Design

Prospective cohort studies.

Setting and participants

From 2014 to 2021, participants with two or more SIRS (Systemic Inflammatory Response Syndrome) criteria and suspected infection were enrolled in emergency departments and medical wards at hospitals in Cambodia and Ghana and hospitalised participants with suspected infection were enrolled in the USA. Cox proportional hazards regression was performed, and Harrell's C-statistic calculated to determine 28-day mortality prediction performance of the quick Sequential Organ Failure Assessment (qSOFA) score ≥2, SIRS score ≥3, National Early Warning Score (NEWS) ≥5, Modified Early Warning Score (MEWS) ≥5 or Universal Vital Assessment (UVA) score ≥2. Screening tools were compared with baseline risk (age and sex) with the Wald test.

Results

The cohorts included 567 participants (42.9% women) including 187 participants from Kumasi, Ghana, 200 participants from Takeo, Cambodia and 180 participants from Durham, North Carolina in the USA. The pooled mortality was 16.4% at 28 days. The mortality prediction accuracy increased from baseline risk with the MEWS (C-statistic: 0.63, 95% CI 0.58 to 0.68; p=0.002), NEWS (C-statistic: 0.68; 95% CI 0.64 to 0.73; p<0.001), qSOFA (C-statistic: 0.70, 95% CI 0.64 to 0.75; p<0.001), UVA score (C-statistic: 0.73, 95% CI 0.69 to 0.78; p<0.001), but not with SIRS (0.60; 95% CI 0.54 to 0.65; p=0.13). Within individual cohorts, only the UVA score in Ghana performed better than baseline risk (C-statistic: 0.77; 95% CI 0.71 to 0.83; p<0.001).

Conclusions

Among the cohorts, MEWS, NEWS, qSOFA and UVA scores performed better than baseline risk, largely driven by accuracy improvements in Ghana, while SIRS scores did not improve prognostication accuracy. Prognostication scores should be validated within the target population prior to clinical use.
dc.identifier

bmjopen-2022-067840

dc.identifier.issn

2044-6055

dc.identifier.issn

2044-6055

dc.identifier.uri

https://hdl.handle.net/10161/26954

dc.language

eng

dc.publisher

BMJ

dc.relation.ispartof

BMJ open

dc.relation.isversionof

10.1136/bmjopen-2022-067840

dc.subject

Humans

dc.subject

Sepsis

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Cohort Studies

dc.subject

Prospective Studies

dc.subject

Adult

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Cambodia

dc.subject

Female

dc.subject

Male

dc.subject

Systemic Inflammatory Response Syndrome

dc.title

Screening tools for predicting mortality of adults with suspected sepsis: an international sepsis cohort validation study.

dc.type

Journal article

duke.contributor.orcid

Tsalik, Ephraim L|0000-0002-6417-2042

duke.contributor.orcid

Woods, Christopher W|0000-0001-7240-2453

pubs.begin-page

e067840

pubs.issue

2

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Medicine

pubs.organisational-group

Medicine, Infectious Diseases

pubs.organisational-group

Duke Center for Applied Genomics and Precision Medicine

pubs.publication-status

Published

pubs.volume

13

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