Evidence map›Paper›PMID 34652794›Full record

ArticleEuropean geriatric medicine2019

Adding lactate to SOFA and qSOFA scores predicts in-hospital mortality better in older patients in critical care.

Arif Aksu, Muge Gulen, Akkan Avci, Salim Satar

Abstract read
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Article in European geriatric medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 14 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.

Arif AksuDepartment of Emergency Medicine, Adana City Training and Research Hospital, Adana, Turkey.
Muge GulenDepartment of Emergency Medicine, Adana City Training and Research Hospital, Adana, Turkey. muge-gulen@hotmail.com.
Akkan AvciDepartment of Emergency Medicine, Adana City Training and Research Hospital, Adana, Turkey.
Salim SatarDepartment of Emergency Medicine, Adana City Training and Research Hospital, Adana, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to determine whether the addition of the lactate level to the SOFA score (SOFA-Laktat) and qSOFA Score (qSOFA-Laktat) improves the performance of the SOFA score and qSOFA score alone in predicting the hospital mortality of critically ill older patients. MATERIAL AND

methodA total of 799 patients over 65 years of age admitted to Emergency Department and hospitalized to intensive care unit (ICU) of our hospital between May 1, 2016, and April 30, 2017, were included in this study. The parameters gender, age, initial complaint, duration of time between the start of their complaint and emergency admission, comorbidities, SOFA scores, qSOFA scores, arterial lactate (AL) values and reason for acute admission, which intensive care unit admitted to, length of stay and patients outcomes (discharge, exitus) were recorded. The primary outcome was to evaluate whether the addition of the evaluation of AL value increased the performance of the SOFA score and qSOFA score in predicting hospital mortality.

resultsData of 799 patients were analyzed, in which 52.8% (n = 422) were male and 47.3% (n = 377) were female. Most frequently hospitalized clinic was coronary ICU (34.7%, n = 277). Mean duration of hospitalization was 5.2 ± 8.7 days. Hospitalization was prolonged with increased lactate, SOFA and qSOFA levels. Cutoff value for lactate was 2.3 mmol/L in our ROC analyses. Predictive value of SOFA-Lactate

conclusionThe lactate 2.3 mmol/L threshold-based SOFA-Lactate

Indexed as

Emergency departmentLactateOlder patientsqSOFASOFA

Identifiers

PMID34652794
OpenAlexW2924655750

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.