Evidence map›Paper›PMID 36755632›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022

Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study.

Kiran Kumar Gudivada, Shiva Kumar Narayan, Alok Narasimha, Bhuvana Krishna, Krithika Dandinashivara Muralidhara

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Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 4 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

5 authors at 2 institutions in 1 country.

Kiran Kumar GudivadaDepartment of Anaesthesiology and Critical Care, All India Institute of Medical Sciences, Hyderabad Metropolitan Region, Telangana, India.ORCID https://orcid.org/0000-0003-4836-3209
Shiva Kumar NarayanDepartment of Critical Care Medicine, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0003-4223-5986
Alok NarasimhaDepartment of Critical Care Medicine, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-4146-0762
Bhuvana KrishnaDepartment of Critical Care Medicine, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-0003-6797
Krithika Dandinashivara MuralidharaDepartment of Nephrology, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0003-2665-0047
St.John's Medical College Hospital · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of acute kidney injury (AKI) is greater than 50% among coronavirus disease-2019 (COVID-19) patients admitted to the intensive care unit (ICU). However, the literature on predictors and kinetics of renal recovery remains unclear. Patients and methods: This observational study was conducted in a 30-bedded mixed ICU of a tertiary care center from May 2020 to July 2021. A total of 200 consecutive adult COVID-19 patients who had AKI in ICU were included. Using logistic regression with the best subset selection, predictors of renal recovery were identified. Outcomes and kinetics of AKI recovery were determined. Results: Among 200 patients, 67 recovered from AKI, of which 38, 17, and 12 patients had transient AKI, persistent AKI, and acute kidney disease (AKD), respectively. A total of 25 patients had AKI relapse, primarily associated with hospital-acquired infections. Results of logistic regression showed that the combination of Acute Physiology and Chronic Health Evaluation (APACHE II) {odds ratio (OR) 1.1 [ Conclusion: A higher APACHE II at admission, a longer time to onset of AKI, and the severity of AKI during ICU stay predicted poor renal recovery. Study results emphasize the need for stepping-up dialysis resources in the likely case of future waves of COVID-19. The relapse of AKI was associated with sepsis, and mortality rates were substantially high. How to cite this article: Gudivada KK, Narayan SK, Narasimha A, Krishna B, Muralidhara KD. Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study. Indian J Crit Care Med 2022;26(12):1293-1299.

Indexed as

Acute kidney injuryAcute kidney injury recoveryAcute kidney injury relapseCoronavirus disease-2019Intensive care unit

Identifiers

PMID36755632
PMCPMC9886020
OpenAlexW4311430768

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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.