Evidence map›Paper›PMID 39108682›Full record

ArticleTurkish journal of emergency medicine

Identifying high-risk undifferentiated emergency department patients with hyperlactatemia: Predictors of 30-day in-hospital mortality.

Ayşen Aydın Kaçar, Ersin Aksay, Başak Bayram, Emre Kıran, Bahar Elif Güldalı

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Article in Turkish journal of emergency medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

5 authors.

Ayşen Aydın KaçarDepartment of Emergency Medicine, Turgutlu State Hospital, Manisa, Türkiye.ORCID https://orcid.org/0000-0003-2717-445X
Ersin AksayDepartment of Emergency Medicine, School of Medicine, Izmir Economy University, Kocaeli, Türkiye.ORCID https://orcid.org/0000-0002-3249-2420
Başak BayramDepartment of Emergency Medicine, Kocaeli City Hospital, Kocaeli, Türkiye.ORCID https://orcid.org/0000-0003-2084-2646
Emre KıranDepartment of Emergency Medicine, School of Medicine, Dokuz Eylul University, Izmir, Türkiye.ORCID https://orcid.org/0000-0003-0708-0552
Bahar Elif GüldalıDepartment of Emergency Medicine, School of Medicine, Dokuz Eylul University, Izmir, Türkiye.ORCID https://orcid.org/0000-0003-2314-7702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperlactatemia has been recognized as a significant prognostic indicator in critically ill patients. Nonetheless, there remains a gap in understanding the specific risk factors contributing to increased mortality among undifferentiated emergency department (ED) patients presenting with elevated lactate levels.

objectivesThe objective of the study is to investigate potential risk factors for 30-day in-hospital mortality in ED patients with hyperlactatemia.

methodsAll nontraumatic adult presentations to the ED who had a lactate level of ≥2.5 mmol/L were included. Comorbidities, vital signs, lactate levels, lactate clearance, lactate normalization, and final diagnosis were compared with 30-day in-hospital mortality.

resultsA 30-day in-hospital mortality rate of 10.4% was observed in 979 patients. The mortality rate was higher in hypotensive patients (odds ratio [OR] 4.973), in nursing home patients (OR 5.689), and bedridden patients (OR 3.879). The area under the curve for the second lactate level (0.804) was higher than the first lactate level (0.691), and lactate clearance (0.747) for in-hospital mortality. A second lactate level >3.15 mmol/l had a sensitivity of 81.3% in predicting in-hospital mortality. The OR for mortality was 6.679 in patients without lactate normalization. A higher mortality rate was observed in patients with acute renal failure (OR 4.305), septic shock (OR 4.110), and acute coronary syndrome (OR 2.303).

conclusionsA second lactate measurement more accurately predicts in-hospital mortality than lactate clearance and the first lactate level in ED patients. Nursing home patients, bed-ridden patients, hypotensive patients on initial ED presentation, patients without lactate normalization, and patients with a final diagnosis of acute renal failure, septic shock, and acute coronary syndrome had a higher mortality rate.

Indexed as

Emergency departmentshyperlactatemialactate clearancelactate normalizationlactateslactic acidmortalityprognosis

Identifiers

PMID39108682
PMCPMC11299841

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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.