Evidence map›Paper›PMID 33573739›Full record

ArticleJournal of the American College of Cardiology2021

Natriuretic Equation to Predict Loop Diuretic Response in Patients With Heart Failure.

Veena S Rao, Juan B Ivey-Miranda, Zachary L Cox, Ralph Riello, Matthew Griffin, James Fleming, Richard Soucier, Prasama Sangkachand, Margaret O'Brien, Francine LoRusso and 10 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of the American College of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
8.3field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Diuretics in Cardiovascular Disease: For How Long and at What Dose?Journal of cardiovascular development and disease · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 2 countries.

Veena S RaoDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Juan B Ivey-MirandaDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA; Department of Heart Failure, Hospital de Cardiologia, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Zachary L CoxDepartment of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ralph RielloHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Matthew GriffinDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
James FlemingDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Richard SoucierDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Prasama SangkachandHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Margaret O'BrienHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Francine LoRussoHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Julie D'AmbrosiHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Keith ChurchwellHeart and Vascular Center, Yale New Haven Hospital, New Haven, Connecticut, USA.
Devin MahoneyDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Lavanya BellumkondaDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Jennifer L AsherDepartment of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Christopher MaulionDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Jeffrey M TurnerDepartment of Medicine, Division of Nephrology, Yale University School of Medicine, New Haven, Connecticut, USA.
F Perry WilsonClinical and Translational Research Accelerator, Yale University School of Medicine, New Haven, Connecticut, USA.
Sean P CollinsDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jeffrey M TestaniDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA. Electronic address: jeffrey.testani@yale.edu.
Yale University · USYale New Haven Hospital · USVanderbilt University Medical Center · USMexican Social Security Institute · MX

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Vascular Training GrantT32HL007950 · NHLBI · YALE UNIVERSITY · PI JEFFREY R. BENDER, Daniel Greif · 2000 to 2026
$9.6M
Mechanism and Effects of Manipulating Chloride Homeostasis in Heart FailureR01HL139629 · NHLBI · YALE UNIVERSITY · PI JEFFREY M TESTANI · 2018 to 2026
$5.0M
Diagnosing and Targeting Mechanisms of Diuretic Resistance in Heart FailureR01HL128973 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2015 to 2019
$3.8M
Cardio-Renal Effects of Torsemide vs. Furosemide: A TRANSFORM-HF Mechanistic Sub-StudyR01HL148354 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2019 to 2022
$3.3M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Cardio-renal phenotype and prognosis in chronic heart failureK23HL114868 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2012 to 2017
$845k
Urine galectin-3 as a biomarker of cardio-renal phenotype and prognosisR21HL143092 · NHLBI · YALE UNIVERSITY · PI RAO, VEENA, TESTANI, JEFFREY M · 2018 to 2019
$251k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL114868NHLBI NIH HHS L30 HL115790NHLBI NIH HHS R01 HL128973NHLBI NIH HHS R01 HL139629NHLBI NIH HHS R01 HL148354NHLBI NIH HHS R21 HL143092NHLBI NIH HHS T32 HL007950NIDDK NIH HHS R01 DK113191
6 · The paper itself

Abstract

backgroundMost acute decompensated heart failure admissions are driven by congestion. However, residual congestion is common and often driven by the lack of reliable tools to titrate diuretic therapy. The authors previously developed a natriuretic response prediction equation (NRPE), which predicts sodium output using a spot urine sample collected 2 h after loop diuretic administration.

objectivesThe purpose of this study was to validate the NRPE and describe proof-of-concept that the NRPE can be used to guide diuretic therapy.

methodsTwo cohorts were assembled: 1) the Diagnosing and Targeting Mechanisms of Diuretic Resistance (MDR) cohort was used to validate the NRPE to predict 6-h sodium output after a loop diuretic, which was defined as poor (<50 mmol), suboptimal (<100 mmol), or excellent (>150 mmol); and 2) the Yale Diuretic Pathway (YDP) cohort, which used the NRPE to guide loop diuretic titration via a nurse-driven automated protocol.

resultsEvaluating 638 loop diuretic administrations, the NRPE showed excellent discrimination with areas under the curve ≥0.90 to predict poor, suboptimal, and excellent natriuretic response, and outperformed clinically obtained net fluid loss (p < 0.05 for all cutpoints). In the YDP cohort (n = 161) using the NRPE to direct therapy mean daily urine output (1.8 ± 0.9 l vs. 3.0 ± 0.8 l), net fluid output (-1.1 ± 0.9 l vs. -2.1 ± 0.9 l), and weight loss (-0.3 ± 0.3 kg vs. -2.5 ± 0.3 kg) improved substantially following initiation of the YDP (p < 0.001 for all pre-post comparisons).

conclusionsNatriuretic response can be rapidly and accurately predicted by the NRPE, and this information can be used to guide diuretic therapy during acute decompensated heart failure. Additional study of diuresis guided by the NRPE is warranted.

Indexed as

Models, BiologicalAgedBiomarkersCohort StudiesDrug MonitoringFemaleHeart FailureHumansMaleMiddle AgedNatriuresisProof of Concept StudySodiumSodium Potassium Chloride Symporter InhibitorsUrinalysisBiomarkersSodiumSodium Potassium Chloride Symporter Inhibitorsdiureticsheart failurenatriuretic responsesodium

Identifiers

PMID33573739
PMCPMC8114781
OpenAlexW3127372290

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.