Evidence map›Paper›PMID 33009198›Full record

Observational studyThe journal of trauma and acute care surgery2020

Urinary cell cycle arrest proteins urinary tissue inhibitor of metalloprotease 2 and insulin-like growth factor binding protein 7 predict acute kidney injury after severe trauma: A prospective observational study.

Gabrielle E Hatton, Yao Wei Wang, Kayla D Isbell, Kevin W Finkel, Lillian S Kao, Charles E Wade

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The journal of trauma and acute care surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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.

Gabrielle E HattonFrom the Center for Translational Injury Research at McGovern Medical School, University of Texas Health Science Center, Houston, Texas (G.E.H., Y.W.W., K.D.I., L.S.K., C.E.W.), Department of Surgery at McGovern Medical School, University of Texas Health Science Center, Houston, Texas (G.E.H., K.D.I., L.S.K., C.E.W.), and Department of Nephrology and Hypertension at McGovern Medical School, University of Texas Health Science Center, Houston, Texas (K.W.F.), and the Center for Surgical Trials and Evidence-based Practice at McGovern Medical School, University of Texas Health Science Center, Houston, Texas (G.E.H., K.D.I., L.S.K.).
Yao Wei Wang
Kayla D Isbell
Kevin W Finkel
Lillian S Kao
Charles E Wade
The University of Texas Health Science Center at Houston · US

Funding

ROLE OF THE GUT IN POST INJURY MULTIPLE ORGAN FAILURET32GM008792 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Charles S Cox · 2001 to 2026
$5.2M
Institutional Career Development CoreKL2TR003168 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILLER, CHARLES C · 2019 to 2023
$4.9M
NCATS NIH HHS KL2 TR003168NIGMS NIH HHS T32 GM008792
6 · The paper itself

Abstract

backgroundRecognition and clinical diagnosis of acute kidney injury (AKI) after trauma is difficult. The majority of trauma patients do not have a known true baseline creatinine, which makes application of the guidelines set forth by the international guidelines difficult to apply. Use of alternative biomarkers of renal dysfunction in trauma patients may be beneficial. We hypothesized that urinary tissue inhibitor of metalloprotease 2 (TIMP-2) × insulin-like growth factor binding protein 7 (IGFBP-7) would accurately predict AKI development in severely injured trauma patients.

methodsA prospective observational study of adult (≥16 years old) trauma intensive care unit (ICU) patients was performed between September 2018 to March 2019. Urine was collected on ICU admission and was measured for TIMP-2 × IGFBP-7. Univariate, multivariable, and receiver operating characteristic curve analyses were performed using the optimal threshold generated by a Youden index. MAIN

resultsOf 88 included patients, 75% were male, with a median injury severity score was 27 (interquartile range [IQR], 17-34), and age of 40 years (IQR, 28-54 years). Early AKI developed in 39 patients (44%), and of those, 7 (8%) required dialysis within 48 hours. Patients without early AKI had a TIMP-2 × IGFBP-7 of 0.17 U (IQR, 0.1-0.3 U), while patients with early AKI had a TIMP-2 × IGFBP-7 of 0.46 U (IQR, 0.17-1.29 U; p < 0.001). On multivariable analyses, TIMP-2 × IGFBP-7 was associated with AKI development (p = 0.02) and need for dialysis (p = 0.03). Using the optimal threshold 0.33 U to predict AKI, the area under the receiver operating characteristic curve was 0.731, with an accuracy of 0.75, sensitivity of 0.72, and specificity of 0.78.

conclusionUrinary TIMP-2 × IGFBP-7 measured on ICU admission accurately predicted 48-hour AKI and was independently associated with AKI and dialysis requirement after trauma and is a promising screening tool for treatment. LEVEL OF EVIDENCE: Prognostic, prospective, observational study, level III.

Indexed as

Acute Kidney InjuryAdultAgedBiomarkersFemaleHumansInjury Severity ScoreInsulin-Like Growth Factor Binding ProteinsIntensive Care UnitsMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsProspective StudiesROC CurveTime FactorsBiomarkersinsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsTIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2

Identifiers

PMID33009198
PMCPMC7863700
OpenAlexW3040761826

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.