ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2023
Role of Neutrophil Gelatinase-associated Lipocalin (NGAL) and Other Clinical Parameters as Predictors of Bacterial Sepsis in Patients Presenting to the Emergency Department with Fever.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- The Role of Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a Biomarker in Predicting the Function of Kidney Grafts: A Literature Review.Journal of clinical medicine · 2026Review
- Hyper-activated low-density neutrophil-derived NGAL predicts fatal SFTS: a multi-cohort and single-cell study.Infection · 2026Article
- Pioglitazone Attenuates Sepsis-Associated Acute Kidney Injury by Modulating TLR-4/NF-κB Signaling and Improving Survival and Renal Function.Journal of clinical medicine · 2026Article
- Sepsis as a complex syndrome: Are combined biomarkers the future of diagnosis and prognosis? Clinical perspective.Immunology letters · 2026Review
- Sepsis Biomarkers in Evolution: Comparative Insights and the Promising Roles of MDW and Presepsin.Medicina (Kaunas, Lithuania) · 2026Review
- Observational
- Article
- Urinary cystatin-C and urinary NGAL associated with sepsis predicts longer hospital stay in premature newborns.Biomarkers in medicine · 2024Article
- The Role of Biomarkers in Diagnosis of Sepsis and Acute Kidney Injury.Biomedicines · 2024Review
- Neutrophils and the Systemic Inflammatory Response Syndrome (SIRS).International journal of molecular sciences · 2023Review
- Whetting the Rapid Diagnostic Tools for Sepsis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bacterial sepsis is associated with significant morbidity and mortality. However, to date, there is no single test that predicts sepsis with reproducible results. We proposed that using a combination of clinical and laboratory parameters and a novel biomarker, plasma neutrophil gelatinase-associated lipocalin (NGAL) may aid in early diagnosis. Method: A prospective cohort study was conducted at a tertiary care center in South India (June 2017 to April 2018) on patients with acute febrile episodes fulfilling the Systemic Inflammatory Response Syndrome (SIRS) criteria. Plasma NGAL and standard clinical and laboratory parameters were collected at the admission. Bacterial sepsis was diagnosed based on blood culture positivity or clinical diagnosis. Clinically relevant plasma NGAL cut-off values were identified using the receive operating characteristic (ROC) curve. Clinically relevant clinical parameters along with plasma NGAL's risk ratios estimated from the multivariable Poisson regression model were rounded and used as weights to create a new scoring tool. Results: Of 100 patients enrolled, 37 had bacterial sepsis. The optimal plasma NGAL cut-off value to predict sepsis was 570 ng/mL [area under the curve (AUC): 0.69]. The NGAL sepsis screening tool consists of the following clinical parameter: diabetes mellitus, the presence of rigors, quick sequential organ failure assessment (qSOFA) >2, a clear focus of infection, and the plasma NGAL >570 ng/mL. A score of <3 ruled out bacterial sepsis and a score >7 were highly suggestive of bacterial sepsis with an interval likelihood ratio (LR) of 7.77. Conclusion: The NGAL sepsis screening tool with a score >7 can be used in the emergency department (ED) to identify bacterial sepsis. How to cite this article: Paul A, Newbigging NS, Lenin A, Gowri M, Varghese JS, Nell AJ,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.