Evidence map›Paper›PMID 42147698›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2026

Renal Biomarkers of Injury as Early Predictors of COVID-19 Associated Acute Kidney Injury: A Prospective Observational Trial (BRICOAKI Study).

Neeraj Kumar, Mala Mahto, Abhyuday Kumar, Ajeet Kumar, Amarjeet Kumar

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neeraj KumarDepartment of Anaesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-9161-7000
Mala MahtoDepartment of Biochemistry, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0003-0445-6972
Abhyuday KumarDepartment of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-9247-6713
Ajeet KumarDepartment of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-1464-6684
Amarjeet KumarDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-4272-5750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Acute kidney injury (AKI) is a common and serious complication among critically ill COVID-19 patients. Early identification of patients at risk is challenging because serum creatinine rises late in the course of renal injury. Unlike prior COVID-19 AKI studies that measured serum neutrophil gelatinase-associated lipocalin (sNGAL) or Cystatin-C at a single time point, this study evaluates their serial trajectories and quantifies biomarker-creatinine lead-time in a critically ill intensive care unit (ICU) cohort. Patients and methods: This prospective observational study involved 65 adults with moderate to severe COVID-19 in the ICU. Serum biomarkers [NGAL, cystatin-C, interleukin (IL)-6, kidney injury molecule (KIM)-1, tissue inhibitor of metalloproteinases (TIMP)-2, creatinine] and urinary Klotho (uKlotho) were measured on days 0, 1, 2, 3, 5, 7, and 10. Acute kidney injury was defined per kidney disease: Improving global outcomes (KDIGO) criteria. Receiver operating characteristic (ROC) analysis and lead-time estimation evaluated predictive performance. Results: Acute kidney injury occurred in 47/65 (72.3%) patients; of them, 36/47 (76.6%) progressed to KDIGO stages 2-3, and 5 (10.6%) required renal replacement therapy (RRT). Among the biomarkers studied, sNGAL demonstrated the highest discrimination for KDIGO-defined AKI [area under curve (AUC): 0.71-0.79] and increased approximately 1 day before creatinine-based AKI diagnosis. Serum cystatin-C (sCystatin-C) showed moderate predictive value (AUC: 0.63-0.70) with a median lead time of approximately 1-2 days. Serum KIM-1 (sKIM-1) demonstrated only borderline variation across severity groups, while uKlotho did not show significant discriminatory performance. Although TIMP-2 and IL-6 were significantly elevated with increasing disease severity, their overall discriminative performance for AKI was lower compared with NGAL and cystatin-C. Conclusion: In critically ill COVID-19 patients, serial sNGAL and sCystatin-C demonstrated modest but consistent discrimination for KDIGO-defined AKI and showed a tendency to rise 1-2 days prior to creatinine-based diagnosis. In contrast, sKIM-1, serum TIMP-2, uKlotho, and serum IL-6 exhibited limited discriminatory performance for early AKI detection. How to cite this article: Kumar N, Mahto M, Kumar A, Kumar A, Kumar A. Renal Biomarkers of Injury as Early Predictors of COVID-19 Associated Acute Kidney Injury: A Prospective Observational Trial (BRICOAKI Study). Indian J Crit Care Med 2026;30(4):298-304.

Indexed as

Acute kidney injuryBiomarkersCOVID-19Cystatin-CNeutrophil gelatinase-associated lipocalin

Identifiers

PMID42147698
PMCPMC13177896

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.