Dataset Information

Rule Out Acute Kidney Injury in the Emergency Department With a Urinary Dipstick.

ABSTRACT:

Introduction

The identification of acute injury of the kidney relies on serum creatinine (SCr), a functional marker with poor temporal resolution as well as limited sensitivity and specificity for cellular injury. In contrast, urinary biomarkers of kidney injury have the potential to detect cellular stress and damage in real time.

Methods

To detect the response of the kidney to injury, we have tested a lateral flow dipstick that measures a urinary protein called neutrophil gelatinase-associated lipocalin (NGAL). Analysis of urine was performed in a prospective cohort of 479 patients (final cohort N = 426) entering an emergency department in New York City and subsequently admitted for inpatient care.

Results

Colorimetric development had high interrater reliability (88% concordance rate) and correlated with traditional enzyme-linked immunosorbent assay (ELISA) measurements (ρ = 0.732, P < .0001). Of the 14% of the cohort who met Acute Kidney Injury Network (AKIN) SCr criteria for acute kidney injury (AKI), 67% demonstrated transient (<2 days) and 33% demonstrated sustained (>2 days) elevation of SCr. Comparing the outcomes of patients with sustained versus transient or undetectable changes in SCr revealed that the urinary NGAL (uNGAL) dipstick had high specificity and negative predictive value (NPV) (high- vs. low-intermediate readings, sensitivity = 0.55, specificity = 0.91, positive predictive value = 0.24, NPV = 0.97, χ² = 20.39, P < 0.001).

Conclusion

We show that the introduction of a bedside uNGAL dipstick permits accurate triage by identifying individuals who do not have tubular injury. In an era of shortening length of stay and rapid decisions based on isolated SCr measurements, real-time exclusion of kidney injury by a dipstick will be particularly useful to overcome the retrospective, insensitive, and nonspecific attributes of SCr.

SUBMITTER: Stevens JS

PROVIDER: S-EPMC7609964 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

Rule Out Acute Kidney Injury in the Emergency Department With a Urinary Dipstick.

Stevens Jacob S JS Xu Katherine K Corker Alexa A Gopal Tejashree S TS Sayan Osman R OR Geraghty Erin P EP Yaeh Andrew M AM Kosuri Yaagnik D YD Burton John R JR Lincoln Saul V SV Callahan Miriam P MP Breheney Rebecca K RK Beenken Andrew S AS Gamino Juliana N JN Felman Ariel E AE Gehani Anjali A Giordano Hayley A HA Gozali Aileen A Guerrero Herrera Eddie F EF Hatcher Britney A BA Kheir Lena A LA Li Yuanji Y Mitsui Erika K EK Nha Jae I JI Sayan Alexander T AT Spaiser Samuel J SJ Arumugam Siddarth S Sia Samuel K SK King Kristen L KL Mohan Sumit S Barasch Jonathan J

Kidney international reports 20200918 11

<h4>Introduction</h4>The identification of acute injury of the kidney relies on serum creatinine (SCr), a functional marker with poor temporal resolution as well as limited sensitivity and specificity for cellular injury. In contrast, urinary biomarkers of kidney injury have the potential to detect cellular stress and damage in real time.<h4>Methods</h4>To detect the response of the kidney to injury, we have tested a lateral flow dipstick that measures a urinary protein called neutrophil gelatin ...[more]

PMID: 33163719

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Project description:ImportanceThe clinical implications of high-sensitivity cardiac troponin T (hs-cTnT) measurements in patients with acute kidney injury (AKI) in the emergency department (ED) are largely unknown.ObjectivesTo investigate associations between serum creatinine (SCr) concentrations and hs-cTnT kinetics, as well as the clinical accuracy of hs-cTnT for myocardial infarction (MI) in patients with AKI.Design, setting, and participantsThis retrospective cohort study included 15 111 patient visits to 7 EDs in Sweden from December 9, 2010, to August 31, 2017, by patients 18 years or older fulfilling AKI criteria with 2 or more SCr measurements and 1 or more hs-cTnT measurement. Statistical analysis was performed from October 2, 2022, to September 28, 2023.ExposureDynamic change in SCr during the ED visits.Main outcomes and measuresLinear mixed-effects models were used to estimate the log-linear regression of kinetic change in hs-cTnT. Logistic regression models were applied to calculate odds ratios (ORs) for change in hs-cTnT indicating acute myocardial injury (Δhs-cTnT >20% and elevated hs-cTnT >14 ng/L) in association with change in SCr, and to assess the diagnostic performance of hs-cTnT for MI in patients with chest pain.ResultsThere was a total of 15 211 visits by 13 638 patients (median age, 74 years [IQR, 64-83 years]; 8709 men [57%]), of whom 1174 (8%) had an MI. Overall, 11 353 of patients at 14 037 visits without an MI diagnosis (81%) had myocardial injury, and 4396 patients at 14 037 visits (31%) had acute myocardial injury. The change in hs-cTnT among patients without MI was 1.8-fold higher in the highest vs the lowest change in SCr quartile (64.7% [95% CI, 58.4%-71.5%] vs 36.3% [95% CI, 32.4%-40.7%]; exponentiated β coefficient, 1.78 [95% CI, 1.62-1.96]). Patients in the former group were twice as likely to have acute myocardial injury (39% [1378 of 3516 visits] vs 23% [817 of 3507 visits]; adjusted OR, 2.32 [95% CI, 2.08-2.59]). Using a 0 hours hs-cTnT cutoff value of 52 ng/L or higher assigned 627 of 2388 patients (26%) with chest pain to a high-risk group in whom the specificity and positive predictive value for MI was low (78.5% [95% CI, 76.7%-80.2&] and 27.6% [95% CI, 24.1%-31.3%], respectively).Conclusions and relevanceThis cohort study of patients in the ED suggests that dynamic change in SCr among patients with AKI was associated with hs-cTnT concentrations indicative of acute myocardial injury. These observations were accompanied by poor performance of recommended hs-cTnT-based algorithms for MI risk stratification.

Dataset Information

Rule Out Acute Kidney Injury in the Emergency Department With a Urinary Dipstick.

Introduction

Methods

Results

Conclusion

Publications

Rule Out Acute Kidney Injury in the Emergency Department With a Urinary Dipstick.

Similar Datasets

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