Evidence map›Paper›PMID 36935538›Full record

ArticleAcute and critical care2023

Selection of appropriate reference creatinine estimate for acute kidney injury diagnosis in patients with severe trauma.

Kangho Lee, Dongyeon Ryu, Hohyun Kim, Sungjin Park, Sangbong Lee, Chanik Park, Gilhwan Kim, Sunhyun Kim, Nahyeon Lee

Open access · diamondAbstract read
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Article in Acute and critical care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Kangho LeeDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Dongyeon RyuDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Hohyun KimDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Sungjin ParkDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Sangbong LeeDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Chanik ParkDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Gilhwan KimDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Sunhyun KimDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Nahyeon LeeDepartment of Trauma and Surgical Critical Care, Pusan National University Hospital, Busan, Korea.
Pusan National University Hospital · KR

Funding

Pusan National University Hospital
6 · The paper itself

Abstract

backgroundIn patients with severe trauma, the diagnosis of acute kidney injury (AKI) is important because it is a predictive factor for poor prognosis and can affect patient care. The diagnosis and staging of AKI are based on change in serum creatinine (SCr) levels from baseline. However, baseline creatinine levels in patients with traumatic injuries are often unknown, making the diagnosis of AKI in trauma patients difficult. This study aimed to enhance the accuracy of AKI diagnosis in trauma patients by presenting an appropriate reference creatinine estimate (RCE).

methodsWe reviewed adult patients with severe trauma requiring intensive care unit admission between 2015 and 2019 (n=3,228) at a single regional trauma center in South Korea. AKI was diagnosed based on the current guideline published by the Kidney Disease: Improving Global Outcomes organization. AKI was determined using the following RCEs: estimated SCr75-modification of diet in renal disease (MDRD), trauma MDRD (TMDRD), admission creatinine level, and first-day creatinine nadir. We assessed inclusivity, prognostic ability, and incrementality using the different RCEs.

resultsThe incidence of AKI varied from 15% to 46% according to the RCE used. The receiver operating characteristic curve of TMDRD used to predict mortality and the need for renal replacement therapy (RRT) had the highest value and was statistically significant (0.797, P<0.001; 0.890, P=0.002, respectively). In addition, the use of TMDRD resulted in a mortality prognostic ability and the need for RRT was incremental with AKI stage.

conclusionsIn this study, TMDRD was feasible as a RCE, resulting in optimal post-traumatic AKI diagnosis and prognosis.

Indexed as

acute kidney injuryintensive care unitmortalitymultiple traumareference values

Identifiers

PMID36935538
PMCPMC10030240
OpenAlexW4322504168

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LicenceCC BY-NC
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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.