Evidence map›Paper›PMID 34316170›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Association between Urinary Potassium Excretion and Acute Kidney Injury in Critically Ill Patients.

Nadikuda Sunil Kumar, Garipalli Nikilesh Kumar, Krushna C Misra, Manimala Rao, Suneetha Chitithoti, Surya Y Prakash

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Acute Kidney Injury in the Intensive Care Unit: The Most Reliable Way to Predict the Future is to Create It.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
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

6 authors at 1 institution in 1 country.

Nadikuda Sunil KumarDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0003-1666-3098
Garipalli Nikilesh KumarDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0001-7536-515X
Krushna C MisraDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0002-2487-6459
Manimala RaoDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0001-7252-6165
Suneetha ChitithotiDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0002-5194-287X
Surya Y PrakashDepartment of Critical Care Medicine, Yashoda Hospital, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0001-7535-0097
Yashoda Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute kidney injury (AKI) is defined in terms of serum creatinine (SrCrt) and urine output (UO). AKI occurs in 25% of critically ill patients, which increases the risk of morbidity and mortality. Early diagnosis of AKI is challenging, as utility of biomarkers is limited. This study is the first of its kind to estimate urinary potassium (UrK) excretion and its association with AKI in an Indian intensive care unit (ICU). AIMS AND

objectivesTo study the association between UrK excretion and its ability to predict AKI in ICU patients. MATERIAL AND

methodsDuring this prospective observational study, the patient's urinary indices and renal function tests were measured on day 1 of the ICU admission. UrK excretion and creatinine clearance (CrCl) were calculated from a 2-hour morning urine sample. Association between 2-hour UrK excretion and calculated CrCl and their ability to predict AKI in the subsequent 7 days was evaluated by Kidney Disease Improving Global Outcome (KDIGO)-AKI grading.

resultsHundred patients admitted to ICU with a mean age of 53.59 ± 15.8 years were studied. The mean UrK excretion of 4.39 ± 2.52 was correlated linearly with CrCl and has a better prediction to AKI with the area under the receiver-operating characteristic curve value of 0.809 (CI 0.719-0.899), with a significant

conclusionDiagnosis of AKI with traditional methods is not promising. UrK excretion correlates well with CrCl, which can be considered as the simplest accessible marker for predicting AKI in ICUs. HOW TO CITE THIS ARTICLE: Kumar NS, Kumar GN, Misra KC, Rao M, Chitithoti S, Prakash SY

Indexed as

Acute kidney injuryCreatinine clearanceIntensive Care UnitUrinary potassium

Identifiers

PMID34316170
PMCPMC8286379
OpenAlexW3173405643

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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.