MétaCan
Menu
← Back to cohort
Record W2587180018 · doi:10.1111/jgs.14762

Natriuretic Peptides in Older Patients With Heart Failure: A Look Into the Seeds of Time

2017· letter· en· W2587180018 on OpenAlexaffabout
Abhinav Sharma, Karen P. Alexander

Bibliographic record

VenueJournal of the American Geriatrics Society · 2017
Typeletter
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHeart failurePopulationNatriuretic peptideIncidence (geometry)ConfoundingPopulation ageingIntensive care medicineGerontologyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

If you can look into the seeds of time, And say which grain will grow and which will not, Speak, then, to me… Heart failure (HF) is primarily a disease of older adults. With the aging of the US population, demand for HF care is increasing steadily.1 HF incidence rises from approximately 20 per 1,000 individuals 65 to 69 years of age to more than 90 per 1,000 individuals ≥85 years of age.2, 3 Furthermore, the prevalence of HF is greater than 10% among those aged ≥75 years of age.2 HF is also a substantial cost-driver within the US healthcare system. With approximately 1 million HF hospitalizations and 3 million physician visits for HF in the US each year, the yearly cost attributed to HF in the United States in 2010 was $39.2 billion.4-6 By 2030, this is estimated to increase 127% reaching $69.7 billion.7 These numbers indicate the scope of HF pandemic, but this problem is compounded by inherent complexity in managing older patients with HF. Older HF patients often have multiple comorbidities confounding diagnostic certainty based on symptoms. They are frequently excluded from randomized controlled trials,8 and suffer competing risk of mortality. Natriuretic peptides show great promise for improving the diagnosis, prognostication, risk stratification, and guiding therapies for HF.9 However, understanding how to utilize natriuretic peptides in the older population is essential. Brain Natriuretic Peptide (BNP) and its amino-terminal cleavage equivalent (NT-proBNP) are generated by cardiomyocytes in response to myocardial stretch. Mostly based on evidence derived from younger populations, natriuretic peptides can be used to support the diagnosis of HF in ambulatory patients with dyspnea.5, 6, 10 Natriuretic peptides also support the diagnosis and establish disease severity and prognosis in hospitalized patients with HF. However, natriuretic peptides may be elevated in the setting of comorbidities such as valvular heart disease, hypertension, pulmonary hypertension, pulmonary embolism, sepsis, renal failure, and ischemic heart disease–more common in older populations. Natriuretic peptides may also be elevated among older patients in the absence of HF, presumably from subclinical changes in heart structure and function.4-6, 9 The International Collaborative of NT-proBNP study (ICON) was a pivotal study that demonstrated age-based stratification of NTproBNP levels improved the positive and negative predictive value of NTproBNP in acutely dyspneic patients. Similarly age-based stratification improved the negative predictive value of NTproBNP among stable ambulatory patients.11 The importance of considering older age in diagnostic thresholds for BNP is well described. However, the utility of natriuretic peptides for prognostic risk stratification among older patients hospitalized with HF has not been explored. In this issue of the journal, Passantino and colleagues evaluate the prognostic factors, including natriuretic peptide levels, associated with short (2 months) and long term (1 year) mortality in a cohort of older patients admitted with HF.12 This retrospective study in two Italian centers evaluated 279 patients aged ≥75 years of age. The mean age was 80 years and the average survival time was 2.2 years. This study contributes two points about prognostic risk stratification in older adults with HF. The first is that HF among older patients is associated with very high all-cause mortality. The second is that NTproBNP has strong independent dose-response association with all-cause mortality among this hospitalized population with HF. Passantino and colleagues report a mortality of 36% at 1 year and 77% at 5 years in this population. This is similar to a 1-year mortality of 37% reported among 2,540,838 Medicare beneficiaries hospitalized with HF (median age 80 years).3 What is unclear is the cause of death among these patients; due to the multiple competing risks of death in an older population, these individuals may be dying of HF or other causes. A post-hoc evaluation of The Trial of Intensified versus Standard Medical Therapy in Elderly Patients with Congestive Heart Failure (TIME-CHF) identified that non-cardiovascular death formed a significant burden of all-cause mortality; furthermore, the distribution of cardiovascular to non-cardiovascular death varied based upon the presence of preserved or reduced ejection fraction.13 Similarly, rates of non-cardiovascular and cardiovascular death may vary across BNP levels. Passantino and colleagues found that NTproBNP was one of the strongest predictors in a multivariable model of short and long term mortality. Other independent predictors included estimated glomerular filtration rate, hemoglobin, diabetes, systolic blood pressure on admission, and moderate to severe tricuspid regurgitation. The NTproBNP levels rose in informative value to 6,000 pg/mL with an optimum cut point for predicting 2-month and 1-year mortality around 8,200 pg/mL. In comparison, among 33,349 Center for Medicare/Medicaid patients admitted in the US within the Get-With-The-Guidelines-Heart Failure registry (CMS-GWTG-HF; median age 80), BNP was a identified as an independent predictor of 30-day mortality; however, blood urea nitrogen (BUN), systolic blood pressure on admission, age, and respiratory rate were even stronger predictors.14 While comprehensive, the modeling by Passantino and colleagues lacks several variables including BUN, dementia, discharge to nursing home, availability of specialized heart failure clinic or cardiology follow-up. Such variables are likely critical when evaluating mortality among older patients. Furthermore, this study focused on mortality, not symptomatic improvements or rehospitalization. Prognostic stratification based on natriuretic peptides serves to place patients across a spectrum of risk; ideally, those at the highest risk should be treated more intensely with close follow-up. Presumably higher natriuretic peptide values in this population were noted by treating physicians and influenced care delivered, but information on specifics of intensification of treatment or HF symptoms over time is not available. Of note, the predictive information of baseline natriuretic peptides was remarkably similar for 2-month and 1-year mortality. Even if acute interventions improve symptoms, outcomes at 2 months and 1 year seem fixed in relation to initial BNP levels. Current US guidelines suggest that natriuretic peptide guided HF therapy can be useful in guideline directed medical therapy (Class IIa, Level of Evidence: B)5; however, the randomized trials used to evaluate natriuretic peptide guided HF therapy were heterogenous, with small sample sizes, varying methodology, and mixed results. In the meta-analysis of biomarker guided therapy, the signal for benefit was only among those aged less than 75 years. Recently, the NIH funded GUIDE-IT trial,15 the largest trial in NTproBNP guided HF therapy, was stopped 18 months early due to lack of benefit for biomarker guided therapy compared to usual care. Given that quality of life and time spent out of the hospital may be a more valued among older patients, the prognostic utility of NTproBNP in terms of rehospitalization remain an important question to answer. The role of natriuretic peptides in mortality risk stratification in older HF patients seems clear. We need more information about natriuretic peptides and cardiovascular and non-cardiovascular cause of death, and information on the use of natriuretic peptides to risk stratify for rehospitalization or advanced therapies such as cardiac resynchronization devices, implantable cardioverter defibrillators (ICDs), and mechanical circulatory support. Finally, the role of natriuretic peptides in end of life decision making warrants consideration. For example, the decision to turn off an ICD may be informed by a natriuretic peptide level which indicates very high short term morality regardless of a defibrillator shock. As the population ages, managing the HF epidemic will place continued demands on the healthcare system so continued efforts to clarify the use of natriuretic peptides to inform that care and improve the lives of older patients with HF will be crucial. Conflict of Interest: AS is supported by an Alberta Innovates Health Solution Clinician Scientist Fellowship. He has received research support from Roche Diagnostics, the Heart Failure Society of America, and the Bayer-Vascular Canadian Cardiovascular Society Research Grant. AS has no conflicts of interest to report. KA has no conflicts of interest to report. Author Contributions: Dr. Sharma and Dr. Alexander contributed to this editorial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.006
Open science0.0010.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.231
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the American Geriatrics Society→Same topicHeart Failure Treatment and Management→French-language works237,207→