Evidence map›Paper›PMID 41771397›Full record

Observational studyJournal of cardiac failure2026

Sotagliflozin, suPAR, and Cardiovascular Outcomes in Patients With Diabetes and Heart Failure: A SOLOIST-WHF Ancillary Study.

Anis Ismail, Grace Erne, Alexi Vasbinder, Christina G Hutten, Bahjat Z Ghazzal, Ian Pizzo, Kristen Machado Diaz, Tonimarie Claire Catalan, Theresa Farhat, Brenna Knott and 7 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of cardiac failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Trial
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

17 authors.

Anis IsmailUniversity of Texas Medical Branch, Department of Internal Medicine, Galveston, TX, USA.
Grace ErneUniversity of Michigan, Department of Internal Medicine, Division of Cardiology, Ann Arbor, MI, USA.
Alexi VasbinderUniversity of Washington, School of Nursing, Department of Biobehavioral Nursing and Health Informatics, Seattle, WA, USA.
Christina G HuttenRush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA.
Bahjat Z GhazzalUniversity of Massachusetts Chan Medical School, Department of Medicine, Worcester, MA, USA.
Ian PizzoUniversity of Michigan, Department of Internal Medicine, Division of Cardiology, Ann Arbor, MI, USA.
Kristen Machado DiazUniversity of Michigan, Department of Internal Medicine, Division of Cardiology, Ann Arbor, MI, USA.
Tonimarie Claire CatalanUniversity of Michigan, Department of Internal Medicine, Division of Cardiology, Ann Arbor, MI, USA.
Theresa FarhatUniversity of Texas Medical Branch, Department of Internal Medicine, Galveston, TX, USA.
Brenna KnottUniversity of Texas Medical Branch, Department of Internal Medicine, Galveston, TX, USA.
Pennelope KunkleUniversity of Texas Medical Branch, Department of Internal Medicine, Galveston, TX, USA.
Michael SzarekSchool of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, USA; University of Colorado School of Medicine, Aurora, CO, USA; CPC Clinical Research, Aurora, CO, USA.
Michael J DaviesLexicon Pharmaceuticals Inc., The Woodlands, TX, USA.
Philippe Gabriel StegUniversité Paris-Cité, Institut Universitaire de France, INSERM U-1148, FACT (French Alliance for Cardiovascular Trials) and AP-HP (Assistance Publique-Hôpitaux de Paris), Hopital Bichat Paris, Paris, France.
Bertram PittDepartment of Internal Medicine (Emeritus), University of Michigan School of Medicine, Ann Arbor, MI, USA.
Deepak L BhattMount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Salim S HayekUniversity of Texas Medical Branch, Department of Internal Medicine, Galveston, TX, USA; University of Michigan, Department of Internal Medicine, Division of Cardiology, Ann Arbor, MI, USA. Electronic address: sahayek@utmb.edu.

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Role of SuPAR in the Intersection between Cardiovascular and Kidney DiseaseR01HL153384 · NHLBI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HAYEK, SALIM · 2020 to 2024
$2.5M
NHLBI NIH HHS R01 HL153384NHLBI NIH HHS T32 HL007853
6 · The paper itself

Abstract

objectiveSotagliflozin, a dual sodium-glucose cotransporter 1 and 2 (SGLT1/2) inhibitor, improves kidney and heart failure (HF) outcomes through incompletely understood mechanisms. Soluble urokinase plasminogen activator receptor (suPAR), an immune-derived glycoprotein, is implicated in kidney and cardiovascular disease pathogenesis. We investigated whether sotagliflozin reduces suPAR levels; whether baseline suPAR predicts cardiovascular outcomes; and whether baseline suPAR modifies sotagliflozin's treatment effect. RESEARCH DESIGN AND

methodsWe measured suPAR levels at baseline and at 1-year follow-up in a subset of patients from the SOLOIST-WHF (Sotagliflozin on Cardiovascular Events in Patients with Type 2 Diabetes Post Worsening HF) trial, which evaluated sotagliflozin's effect on the composite outcome of cardiovascular death, HF hospitalization, and urgent HF visits in patients with type 2 diabetes and worsening HF. Cox proportional hazards modeling assessed associations between baseline suPAR and outcomes and tested for treatment-by-suPAR interaction. Analysis of covariance (ANCOVA) compared changes in suPAR between treatment groups.

resultsIn the main SOLOIST-WHF trial, sotagliflozin reduced the primary composite outcome (HR 0.67, 95% CI 0.52-0.85). In this ancillary analysis (n = 815 with available samples), the median baseline suPAR level was 4.7 ng/mL (IQR 3.7-6.1). SuPAR levels decreased similarly in both treatment groups at 1 year: sotagliflozin (n = 97, -6.2%, 95% CI [-12.0, -0.04]) vs placebo (n = 101, -7.9%, 95% CI [-13.5-2.0]; P = 0.69). Baseline suPAR was strongly associated with the primary outcome in a graded, dose-response manner, independent of treatment, systolic function, kidney function, and NT-proBNP levels: adjusted hazard ratio 2.21 (95% CI 1.36-3.60) for the fourth quartile (>6.06 ng/mL) vs the first quartile (≤3.67 ng/mL). The treatment effect of sotagliflozin was consistent across suPAR quartiles (P interaction = 0.90).

conclusionsThe cardiovascular benefits of sotagliflozin are unlikely to be related to suPAR reduction, because sotagliflozin did not significantly alter suPAR levels, and treatment efficacy was consistent across suPAR strata. However, suPAR remains a strong, independent predictor of HF outcomes. Further studies are needed to determine whether suPAR-targeted therapies can improve HF outcomes.

Indexed as

Diabetes Mellitus, Type 2GlycosidesHeart FailureReceptors, Urokinase Plasminogen ActivatorAgedBiomarkersDouble-Blind MethodFemaleFollow-Up StudiesHumansMaleMiddle AgedMulticenter Studies as TopicPyransRandomized Controlled Trials as TopicSodium-Glucose Transporter 2 InhibitorsBiomarkersGlycosidesPLAUR protein, humanPyransReceptors, Urokinase Plasminogen ActivatorSodium-Glucose Transporter 2 InhibitorssotagliflozindiabetesHFinflammationoutcomesSGLTi

Identifiers

PMID41771397
PMCPMC13501655

What OpenQuestion holds

Textmetadata
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.