Evidence map›Paper›PMID 39732691›Full record

ArticleBMC pediatrics2024

Association between serum albumin levels at admission and clinical outcomes in pediatric intensive care units: a multi-center study.

Hatice Feray Ari, Ese Eda Turanli, Sinan Yavuz, Kubra Guvenc, Ali Avci, Adem Keskin, Nagehan Aslan, Dincer Yildizdas

Abstract readMulticenter Study
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 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

8 authors.

Hatice Feray AriDepartment of Pediatric Intensive Care, Aydin Adnan Menderes University, Faculty of Medicine, Aydin, Turkey. dr.hferayyavas@gmail.com.ORCID http://orcid.org/0000-0002-2208-2524
Ese Eda TuranliDepartment of Pediatric Intensive Care, Diyarbakir Gazi Yasargil Training and Research Hospital, Diyarbakir, Turkey.ORCID http://orcid.org/0000-0001-5876-0510
Sinan YavuzDepartment of Pediatric Intensive Care, Batman Training and Research Hospital, Batman, Turkey.ORCID http://orcid.org/0000-0001-6159-8710
Kubra GuvencDepartment of Pediatric Intensive Care, Mardin Training and Research Hospital, Mardin, Turkey.ORCID http://orcid.org/0000-0003-3881-6980
Ali AvciDepartment of Pediatrics, Batman Training and Research Hospital, Batman, Turkey.ORCID http://orcid.org/0000-0002-3123-1691
Adem KeskinAydın Health Services Vocational School, Aydin Adnan Menderes University, Aydin, Turkey.ORCID http://orcid.org/0000-0003-1921-2583
Nagehan AslanDepartment of Pediatric Intensive Care, Malatya Training and Research Hospital, Malatya, Turkey.ORCID http://orcid.org/0000-0002-6140-8873
Dincer YildizdasDepartment of Pediatric Intensive Care, Faculty of Medicine, Cukurova University, Adana, Turkey.ORCID http://orcid.org/0000-0003-0739-5108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlbumin, a vital component in regulating human blood oncotic pressure, plays an important role in the prediction of prognosis in pediatric patients.Previous research identified significant differences in serum albumin levels of healthy and critically ill children.

methodsThe present study aims to investigate the correlation between albumin levels measured during pediatric intensive care unit(PICU) admission and clinical outcomes. In 2022, a comprehensive analysis of the records was conducted retrospectively in four tertiary hospital PICUs in different cities in the south-east region of Turkey. We then conducted a ROC analysis to predict mortality based on hypoalbuminemia.A cut-off value was determined, and the patients were divided into two groups: hypoalbuminemic and normoalbuminemic.Based on this cut-off level, we evaluated the association between admission serum albumin levels and mortality, length of stay, laboratories, need for mechanical ventilation, and extracorporeal treatments.

resultsA total of 1329 patients admitted to the PICUs between January 1, 2022 and January 1, 2023 were included. The mortality rate amounted to 16.2%.The mean albumin level was 4.03 ± 0.69 g/dl in the surviving and 3.35 ± 0.90 g/dl in the non-surviving group(p < 0.001).The average length of stay in the PICU amounted to 8.98 ± 17.07, while the mean length of hospital stay was 11.23 ± 18.81days.Patients with hypoalbuminemia had significantly longer stays in the PICU and hospital as compared to those with normal albumin levels(p = 0.025 and p < 0.001,respectively).We found robust evidence that albumin levels are a strong predictor of mortality, with a predictive rate of 84.5%(OR:0.322, 95% CI:0.263-0.395, p < 0.001).The cut-off value was 3.785(AUC:0.731, Sensitivity:68.3%, Specificity:67%). A negative correlation was identified between albumin levels and lactate, C- reactive protein (CRP), and Blood urea nitrogen (BUN) levels across all patients. Conversely, a positive correlation was observed between neutrophil, lymphocyte, platelet, hemoglobin, sodium, and glucose levels. However, in patients with a cut-off point of 3.785 for albumin levels, a negative correlation was observed between albumin and lactate, CRP, and creatine levels. Conversely, a positive correlation was found between bicarbonate, platelet, hemoglobin, and glucose levels. Based on these findings, we conclude that hypoalbuminemia is associated with a higher rate of inotrope therapy and mechanical ventilation support. Furthermore, the rates of plasmapheresis, continuous renal replacement therapy, and extracorporeal membrane oxygenation initiation were markedly reduced in patients with elevated albumin levels (p < 0.001).

conclusionThe serum albumin, which is an excellent and cost-effective biomarker that can be readily and economically evaluated in any center worldwide, as evidenced by the findings of our study, is a highly efficacious indicator of admission albumin levels for the prediction of mortality and outcomes in PICUs. Furthermore, it predicts the selection of appropriate treatment and mechanical supports. It is straightforward to utilise, as it does not necessitate the use of scoring systems or tests that require lengthy and intricate analyses, and it is readily available.

Indexed as

HypoalbuminemiaIntensive Care Units, PediatricBiomarkersChildChild, PreschoolCritical IllnessFemaleHospital MortalityHumansInfantLength of StayMalePatient AdmissionPrognosisRespiration, ArtificialRetrospective StudiesBiomarkersSerum AlbuminAlbuminHypoalbuminemiaMortalityPediatric intensive care

Identifiers

PMID39732691
PMCPMC11681727

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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.