Evidence map›Paper›PMID 39539863›Full record

ArticleCureus2024

Correlation of Serum Albumin Levels With the Severity of Sepsis Among Intensive Care Unit Patients.

Muhammad Ammar Ali, Muhammad Tahir Raza, Saqib Majeed, Urooj Tahir, Waseem Ahmad, Mohid Bin Tahir, Rana Shahzaib Ali, Aleeza Afzal, Muhammad Qasim Hasan, Muhammad Hassan and 2 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

12 authors.

Muhammad Ammar AliInternal Medicine, Rawalpindi Medical University, Rawalpindi, PAK.
Muhammad Tahir RazaInternal Medicine, Rawalpindi Medical University, Rawalpindi, PAK.
Saqib MajeedEmergency, University Hospitals Coventry and Warwickshire, Coventry, GBR.
Urooj TahirInternal Medicine, Rawalpindi Medical University, Rawalpindi, PAK.
Waseem AhmadColorectal Surgery, The Royal London Hospital, London, GBR.
Mohid Bin TahirInternal Medicine, Jinnah Hospital, Lahore, PAK.
Rana Shahzaib AliEmergency Medicine, Sheikh Zayed Medical College and Hospital, Rahim Yar Khan, PAK.
Aleeza AfzalInternal Medicine, Allama Iqbal Medical College, Lahore, PAK.
Muhammad Qasim HasanInternal Medicine, Allama Iqbal Medical College, Lahore, PAK.
Muhammad HassanInternal Medicine, Allama Iqbal Medical College, Lahore, PAK.
Sana LiaquatInternal Medicine, Sheikh Zayed Medical College and Hospital, Rahim Yar Khan, PAK.
Tayyab Mumtaz KhanOrthopaedic Surgery, Rawalpindi Medical University, Rawalpindi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Sepsis is a critical and potentially fatal medical condition characterized by significant illness and death rates. Early recognition and assessment of sepsis severity are vital for its optimal management. Determination of its severity by Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) II, is quite a complex process as these score systems require complex and costly investigations. Therefore, this study was designed to determine the predictive capacity of serum albumin levels for the severity of sepsis in intensive care unit (ICU) patients. Methods This cross-sectional study was carried out on 201 ICU-admitted patients with diagnosed sepsis at Benazir Bhutto Hospital (BBH), Rawalpindi, Pakistan from March 2022 to April 2023. Recruitment of patients was performed through consecutive sampling and predefined inclusion and exclusion criteria. Prior to the data collection, ethical approval and informed consent were obtained. Data was gathered via a self-designed proforma. SOFA score was applied for the determination of the severity of sepsis. Patients were categorized into three groups based on sepsis severity (SOFA score). Data analysis was done in the Statistical Package for the Social Sciences (SPSS) version 25. Descriptive and inferential statistics compared study variables. Pearson's correlation and a simple linear regression model were used to assess the relationship between serum albumin levels and sepsis severity and the predictive capacity of serum albumin levels for sepsis severity respectively. The statistical significance of the p-value was set at less than 0.05. Results Among the 201 patients, 64 (31.84%) had sepsis, 98 (48.75%) had severe sepsis, and 39 (19.41%) had septic shock. Hypoalbuminemia was present among 119 (59.20%) patients while 82 (40.80%) patients had normal albumin levels. Significant differences were found in the total bilirubin, serum creatinine, platelet count, PaO2/FiO2 ratio, mean arterial pressure, Glasgow Coma Scale score, SOFA score, serum albumin level, and the prevalence of normal and low albumin levels across three study groups (p < 0.05). Pearson's correlation analysis showed a strong negative correlation between serum albumin level and SOFA score (correlation coefficient (r) = -0.78, p = 0.001). Linear regression analysis confirmed an inverse relationship between serum albumin levels and SOFA scores (beta coefficient = -2.70, p = 0.002). Conclusions In the present study, serum albumin level was noted as a reliable predictor of sepsis severity in ICU patients. Lower serum albumin levels were associated with higher SOFA scores, indicating more severe sepsis. This study supports the use of serum albumin as a simple and cost-effective biomarker for early identification of sepsis severity, particularly in resource-limited settings.

Indexed as

albumincarecorrelationintensivepatientssepsisserumseverityunit

Identifiers

PMID39539863
PMCPMC11559669

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