Clinical trial NCT03845660: Risk EValuation And Its Impact on ClinicAL Decision Making and Outcomes in Heart Failure
Official title: The REVeAL-HF Trial: Risk EValuation And Its Impact on ClinicAL Decision Making and Outcomes in Heart Failure
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Heart Failure
Keywords: Heart Failure
Prognosis
Electronic Alerts
Lead sponsor: Yale University
Sponsor class: OTHER
First posted: 2019-02-19
Enrollment: 3124
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: SEQUENTIAL
Intervention model description: Subjects will be recruited when electronically identified. The inclusion criteria will be all adults ≥18 years who have an NTproBNP levels of \>500 pg/mL and received intravenous diuretics within 24 hours of admission within the YNHS. Patients randomized to the intervention will have an alert of their prognosis based on the best available prognostic models for inpatient and 1-year mortality generated with information from their electronic health record, which will consist of a "pop-up" when providers accesses a patient record to enter a progress note.
Primary purpose: OTHER

Brief summary: Heart failure is a complex and heterogenous disease with mortality and morbidity that equals more cancers. Numerous studies have examined the ability to improve prognostication from heart failure, ranging from basic statistical methodologies to machine learning, with impressive improvements in both predictive indices. However, no study to date has examined, in a randomized fashion, the impact of providing prognostic information on provider behavior and downstream clinical outcomes. It is for this reason that the investigators plan to perform the Risk EValuation And Its Impact on ClinicAL Decision Making and Outcomes in Heart Failure (REVeAL-HF) Trial within the Yale New Haven Health System. REVeAL-HF is a randomized, single-blind intervention trial that is testing the clinical impact of providing prognostic information to the provider on heart failure outcomes in the inpatient settings. The study hypothesis is that electronic alerting about prognostic information on heart failure patients along with links to guidelines will lead to reductions in all-cause mortality and 30-day HF hospitalizations via improved use of guideline directed medical therapy and more adequate decongestion.

Detailed description: Heart failure is the major cause of mortality and morbidity in the United States and Western Europe and prognosis in individual patients is highly variable. Quantifying a patient's survival prospects based on their overall risk profile has the potential to help identify those patients in need of more intensive monitoring and help target appropriate populations for therapies. In fact, several comprehensive risk scores in patients with heart failure are currently available for both reduced and preserved ejection fraction but their applicability to contemporary heart failure populations is unknown. Additionally, the impact of knowing a patient's prognostic information on treatment decisions in heart failure has never been studied. Therefore, guidelines do not recommend using risk assessments to decide on therapeutic decision making in heart failure due to a lack of data for this strategy. The investigators have proposed a randomized controlled trial be conducted of an electronic alert system that informs practitioners about their patients risk of inpatient mortality and 1-year predicted mortality using data from the electronic health record (EHR). The primary outcome for the trial will be a composite of all-cause mortality and 30-day risk of heart failure rehospitalization. The secondary outcomes will be length of stay, discharge doses of heart failure therapies, palliative care referral, referral for advanced therapies like transplant or mechanical circulatory support, referral to electrophysiology, and change in weight during hospitalization (aggressiveness of diuresis). The investigators will enroll into the trial across the hospitals that comprise the Yale New Haven Health System.

Eligibility criteria: Inclusion Criteria:

* Age \>18
* NTproBNP levels of \>500pg/mL within 24 hours of admission
* Intravenous diuretics within 24 hours of admission

Exclusion Criteria:

• None

Primary outcomes:
measure: All-Cause Mortality
timeFrame: 1 Year
measure: Heart failure Re-hospitalization
timeFrame: 30 Days Post Discharge
Secondary outcomes:
measure: Length of stay
timeFrame: 1 Year
measure: Discharge doses of heart failure therapies
timeFrame: 1 Year
measure: Palliative care referral
timeFrame: 1 Year
measure: Advanced therapies referral
timeFrame: 1 Year
measure: Electrophysiology referral
timeFrame: 1 Year
measure: Weight Change
timeFrame: 1 Year
Other outcomes:
Locations:
city: New Haven
country: United States
facility: Yale New Haven Hospital
state: Connecticut
Study officials:
affiliation: Yale University
name: Tariq Ahmad, MD MPH
role: PRINCIPAL_INVESTIGATOR
affiliation: Yale University
name: Nihar R Desai, MD MPH
role: PRINCIPAL_INVESTIGATOR
affiliation: Yale University
name: Francis P Wilson, MD MS
role: PRINCIPAL_INVESTIGATOR
References:
citation: Wilson FP, Greenberg JH. Acute Kidney Injury in Real Time: Prediction, Alerts, and Clinical Decision Support. Nephron. 2018;140(2):116-119. doi: 10.1159/000492064. Epub 2018 Aug 2.
citation: Martin M, Wilson FP. Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity. Clin J Am Soc Nephrol. 2019 Jan 7;14(1):115-123. doi: 10.2215/CJN.13841217. Epub 2018 Apr 5.
citation: Ahmad T, Freeman JV, Asselbergs FW. Can advanced analytics fix modern medicine's problem of uncertainty, imprecision, and inaccuracy? Eur J Heart Fail. 2019 Jan;21(1):86-89. doi: 10.1002/ejhf.1370. Epub 2018 Dec 10. No abstract available.
citation: Ahmad T, Wilson FP, Desai NR. The Trifecta of Precision Care in Heart Failure: Biology, Biomarkers, and Big Data. J Am Coll Cardiol. 2018 Sep 4;72(10):1091-1094. doi: 10.1016/j.jacc.2018.07.009. No abstract available.
citation: Ahmad T, O'Brien EC, Schulte PJ, Stevens SR, Fiuzat M, Kitzman DW, Adams KF, Kraus WE, Pina IL, Donahue MP, Zannad F, Whellan DJ, O'Connor CM, Felker GM. Evaluation of the Incremental Prognostic Utility of Increasingly Complex Testing in Chronic Heart Failure. Circ Heart Fail. 2015 Jul;8(4):709-16. doi: 10.1161/CIRCHEARTFAILURE.114.001996. Epub 2015 Jun 1.
citation: Ahmad T, Desai NR, Yamamoto Y, Biswas A, Ghazi L, Martin M, Simonov M, Dhar R, Hsiao A, Kashyap N, Allen L, Velazquez EJ, Wilson FP. Alerting Clinicians to 1-Year Mortality Risk in Patients Hospitalized With Heart Failure: The REVEAL-HF Randomized Clinical Trial. JAMA Cardiol. 2022 Sep 1;7(9):905-912. doi: 10.1001/jamacardio.2022.2496.
citation: Ahmad T, Yamamoto Y, Biswas A, Ghazi L, Martin M, Simonov M, Hsiao A, Kashyap N, Velazquez EJ, Desai NR, Wilson FP. REVeAL-HF: Design and Rationale of a Pragmatic Randomized Controlled Trial Embedded Within Routine Clinical Practice. JACC Heart Fail. 2021 Jun;9(6):409-419. doi: 10.1016/j.jchf.2021.03.006. Epub 2021 May 12.