scholarly journals Low tri-iodothyronine syndrome improve the risk prediction of mortality in patients with acute heart failure

2019 ◽  
Author(s):  
Jian Zhang ◽  
Shengen Liao ◽  
Iokfai Cheang ◽  
Xinyi Lu ◽  
Gongrong Gao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Risk Prediction ◽  
Cardiovascular Mortality ◽  
Low T3 Syndrome ◽  
Free T3 ◽  
Net Reclassification Improvement ◽  
Prediction Of Mortality ◽  
Low T3 ◽  
All Cause Mortality

Abstract Background Clinical studies have suggested that low tri-iodothyronine (T3) syndrome negatively affects the clinical outcomes of patients with acute heart failure (AHF). The aim of this prospective cohort study was to evaluate the effect of low T3 syndrome in terms of prognosis and risk predictive potential in AHF.Methods Low T3 syndrome was defined by a low free T3 level (<3.1 pmol/L) accompanied by a normal thyroid-stimulating hormone level. The association between the free T3 level and mortality and the incremental risk prediction were estimated in adjusted models.Results In total, 312 patients with AHF for whom detailed thyroid hormone profiles were available were prospectively enrolled. Seventy-two patients exhibited low T3 syndrome. Over a median follow-up period of 35 months, 121 cumulative deaths occurred. Cardiovascular death was observed in 94 patients. After extensive adjustment for confounders, the low T3 syndrome associated hazard ratio (95% confidence interval) was 1.74 (1.16-2.61, P =0.007) for all-cause mortality and 1.90 (1.21-2.98, P =0.005) for cardiovascular mortality. The regression splines suggested a negative linear relationship between the free T3 level and mortality risk. Considering reclassification, adding low T3 syndrome to the fully adjusted model improved the risk prediction for all-cause mortality (Integrated discrimination improvement [IDI] 2.0%, P = 0.030; net reclassification improvement [NRI] 8.9%, P = 0.232) and cardiovascular mortality (IDI = 2.5%, P = 0.030; NRI 21.3%, P = 0.013).Conclusions Low T3 syndrome reclassified risk prediction for mortality beyond traditional risk factors.

scholarly journals Association of Ambulatory Blood Pressure with All-Cause and Cardiovascular Mortality in Hemodialysis Patients: Effects of Heart Failure and Atrial Fibrillation

2018 ◽  
Vol 29 (9) ◽  
pp. 2409-2417 ◽  
Author(s):  
Christopher C. Mayer ◽  
Julia Matschkal ◽  
Pantelis A. Sarafidis ◽  
Stefan Hagmair ◽  
Georg Lorenz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Risk Prediction ◽  
Opposite Direction ◽  
Cardiovascular Mortality ◽  
Dialysis Session ◽  
End Point ◽  
Ambulatory Bp Monitoring ◽  
All Cause Mortality ◽  
Risk Predictors

BackgroundEvidence on the utility of ambulatory BP monitoring for risk prediction has been scarce and inconclusive in patients on hemodialysis. In addition, in cardiac diseases such as heart failure and atrial fibrillation (common among patients on hemodialysis), studies have found that parameters such as systolic BP (SBP) and pulse pressure (PP) have inverse or nonlinear (U-shaped) associations with mortality.MethodsIn total, 344 patients on hemodialysis (105 with atrial fibrillation, heart failure, or both) underwent ambulatory BP monitoring for 24 hours, starting before a dialysis session. The primary end point was all-cause mortality; the prespecified secondary end point was cardiovascular mortality. We performed linear and nonlinear Cox regression analyses for risk prediction to determine the associations between BP and study end points.ResultsDuring the mean 37.6-month follow-up, 115 patients died (47 from a cardiovascular cause). SBP and PP showed a U-shaped association with all-cause and cardiovascular mortality in the cohort. In linear subgroup analysis, SBP and PP were independent risk predictors and showed a significant inverse relationship to all-cause and cardiovascular mortality in patients with atrial fibrillation or heart failure. In patients without these conditions, these associations were in the opposite direction. SBP and PP were significant independent risk predictors for cardiovascular mortality; PP was a significant independent risk predictor for all-cause mortality.ConclusionsThis study provides evidence for the U-shaped association between peripheral ambulatory SBP or PP and mortality in patients on hemodialysis. Furthermore, it suggests that underlying cardiac disease can explain the opposite direction of associations.

scholarly journals Prognostic value of the modified model for end-stage liver disease (MELD) score including albumin in acute heart failure

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shengen Liao ◽  
Xinyi Lu ◽  
Iokfai Cheang ◽  
Xu Zhu ◽  
Ting Yin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Liver Disease ◽  
Acute Heart Failure ◽  
Prognostic Value ◽  
Cox Regression ◽  
Meld Score ◽  
End Stage Liver Disease ◽  
Net Reclassification Improvement ◽  
All Cause Mortality ◽  
End Stage

Abstract Background Liver and renal function evaluated by the model for end-stage liver disease (MELD) score, the MELD excluding the international normalized ratio (MELD_XI) score and the MELD including sodium (MELD_sodium) score have been considered predictors of adverse events for patients with acute heart failure (AHF). However, the prognostic value of the MELD including albumin (MELD_albumin) score in patients with AHF has not been assessed. Methods A total of 466 patients with AHF were prospectively evaluated. We compared the accuracy of the 4 MELD score formulas using the time-dependent receiver operating characteristic (ROC) curve and corresponding areas under the curve (AUC). Results During a median follow-up period of 34 months, 196 deaths occurred. In the fully adjusted Cox regression model, standardized hazard ratios with 95% confidence interval expressing the risk of all-cause mortality were 1.22 (1.06–1.40), 1.20 (1.04–1.39), 1.23 (1.06–1.42) and 1.21 (1.05–1.41) for MELD, MELD_XI, MELD_sodium and MELD_albumin scores, respectively. The MELD_albumin score showed the best prognostic accuracy (AUC = 0.658) for the prediction of long-term all-cause mortality, followed by the MELD_sodium score (AUC = 0.590), the MELD score (AUC = 0.580), and the MELD_XI score (AUC = 0.544); the MELD_albumin score performs significantly more accurate than MELD and MELD_XI score for predicting the risk of all-cause mortality. Considering reclassification, MELD_albumin score increased the net reclassification improvement over and beyond MELD (13.1%, P = 0.003), MELD_XI (14.8%, P = 0.002), and MELD_sodium (11.9%, P = 0.006) scores for all-cause mortality. Conclusions The MELD_albumin score increases risk stratification of all-cause mortality over and beyond the MELD score and the other modified MELD scores in patients with acute heart failure.

Prognostic role of sonographic decongestion in patients with acute heart failure with reduced and preserved ejection fraction: a multicentre study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N.R Pugliese ◽  
M Mazzola ◽  
G Bandini ◽  
G Barbieri ◽  
S Spinelli ◽  
...  
Keyword(s):  
Heart Failure ◽  
Adverse Events ◽  
Ejection Fraction ◽  
Acute Heart Failure ◽  
Vena Cava ◽  
Composite Endpoint ◽  
Clinical Findings ◽  
Preserved Ejection Fraction ◽  
Net Reclassification Improvement ◽  
B Lines

Abstract Aims Our aim was to assess the dynamic changes of pulmonary congestion (PC) through variations of sonographic B-lines, in addition to conventional clinical, biohumoral and echocardiographic findings, to improve prognostic stratification of patients admitted for acute heart failure with reduced and preserved ejection fraction (HFrEF, HFpEF). Methods In this multicenter, prospective, observational study, lung ultrasound was performed in all patients at admission and before discharge by trained investigators, blinded to clinical findings and outcomes. Results We enrolled 208 consecutive patients admitted for acute heart failure (125 HFrEF, 83 HFpEF, mean age 75.9±11.7 years, 36% females, mean ejection fraction 38%). After 180-day follow-up, 38 composite endpoint events occurred (cardiovascular deaths or HF re-hospitalisations). In a multivariate model, B-lines at discharge had independent prognostic value in the overall population together with NT-proBNP, moderate-to-severe mitral regurgitation (MR) and inferior vena cava diameter at admission. When dividing the population in HFrEF and HFpEF, B-lines at discharge was the only independent parameter to predict events in all subgroups. At ROC analysis, a cut-off of B-lines&gt;15 at discharge displayed the highest accuracy in predicting adverse events (AUC=0.80, p&lt;0.0001). The identification of patients unable to halve B-lines during hospitalization (ΔB-lines%), in addition to B-lines &gt;15 at discharge, improved event classification (integrated discrimination improvement=4%, p=0.01; continuous net reclassification improvement=22.8%, p=0.04). Conclusions The presence of residual subclinical sonographic PC at discharge predicts adverse events in the whole spectrum of acute HF patients, independently of conventional biohumoral and echocardiographic parameters. The dynamic evaluation of pulmonary decongestion during hospital stay can further improve patient risk stratification. Funding Acknowledgement Type of funding source: None

scholarly journals Adherence to Mediterranean Diet and All-Cause Mortality After an Episode of Acute Heart Failure

2018 ◽  
Vol 6 (1) ◽  
pp. 52-62 ◽  
Author(s):  
Òscar Miró ◽  
Ramon Estruch ◽  
Francisco J. Martín-Sánchez ◽  
Víctor Gil ◽  
Javier Jacob ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mediterranean Diet ◽  
Acute Heart Failure ◽  
All Cause Mortality

Abstract 15507: Trajectories of Point of Care B-type Natriuretic Peptide (bnp) and Its Role as a Predictor of All-cause Mortality Among Hiv and Non-hiv Heart Failure Patients in Uganda

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Samson Okello ◽  
Fardous C Abeya
Keyword(s):  
Heart Failure ◽  
Renal Failure ◽  
Acute Heart Failure ◽  
Natriuretic Peptide ◽  
Point Of Care ◽  
Antiplatelet Agents ◽  
Infected People ◽  
Serial Measurement ◽  
All Cause Mortality ◽  
Hiv Serostatus

Introduction: The usefulness of serial measurement of BNP to reduce hospitalization or mortality in patients with HIV and heartfailure is unknown. Hypothesis: We sought to describe changes in B-type natriuretic peptide (BNP) and estimate the effect of HIV on BNP over a week of observation in an acute heart failure cohort of 40 HIV-infected adults (≥18 years) on antiretroviral therapy (ART) and 175 HIV-uninfected hospitalized patients in Uganda. Methods: We measured BNP using i-STAT BNP (Abbott point of care, Princeton, New Jersey) and compared changes by HIV serostatus, and evaluated BNP as a predictor of all-cause mortality at 30 days from hospitalization using multilevel mixed and competitive risk regression models respectively. Results: Overall HIV-infected participants had a higher mean BNP than HIV-uninfected counterparts. After initial declines in BNP in both groups between day 0 and day 3, BNP moderately increased among the HIV-infected on day 7 and continued to decline in the HIV-uninfected group. Each 1 pg/mL increase in baseline BNP from 400 pg/mL increased the risk of all-cause mortality within 30 days by 1% (adjusted standardized hazard ratio (aSHR) 1.01, 95%CI 1.01, 1.01). Other predictors of increased 30-day all-cause mortality included smoking (aSHR 1.99, 95%CI 1.04, 3.84), hypotension (aSHR 1.69, 95%CI 1.26, 2.26) and renal failure stage 3 (aSHR 2.06, 95%CI 1.34, 3.18), and renal failure stage 5 (aSHR 2.02, 95%CI 1.30, 3.13). We found a lower risk of 30-day all-cause mortality of 38% (95%CI 20%, 73%) for those receiving loop diuretics and 74% (95%CI 56%, 99%) for antiplatelet agents. Conclusions: Over a week of observation, HIV-infected people hospitalized with acute heart failure in Uganda have higher BNP levels than HIV-uninfected counterparts. Increases in BNP above the upper bound of the normal predicted heightened risk of all-cause mortality within 30 days of hospitalization.

scholarly journals Risk Prediction Models for Patients With Acute Heart Failure: A Protocol for Systematic Review, Critical Appraisal, and Meta-Analysis

2021 ◽  
Author(s):  
Xuecheng Zhang ◽  
Kehua Zhou ◽  
Jingjing Zhang ◽  
Ying Chen ◽  
Hengheng Dai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Prediction Model ◽  
Acute Heart Failure ◽  
Risk Prediction ◽  
Methodological Quality ◽  
Critical Appraisal ◽  
Prediction Models ◽  
Cochrane Library ◽  
Risk Prediction Models

Abstract Background Nearly a third of patients with acute heart failure (AHF) die or are readmitted within three months after discharge, accounting for the majority of costs associated with heart failure-related care. A considerable number of risk prediction models, which predict outcomes for mortality and readmission rates, have been developed and validated for patients with AHF. These models could help clinicians stratify patients by risk level and improve decision making, and provide specialist care and resources directed to high-risk patients. However, clinicians sometimes reluctant to utilize these models, possibly due to their poor reliability, the variety of models, and/or the complexity of statistical methodologies. Here, we describe a protocol to systematically review extant risk prediction models. We will describe characteristics, compare performance, and critically appraise the reporting transparency and methodological quality of risk prediction models for AHF patients. Method Embase, Pubmed, Web of Science, and the Cochrane Library will be searched from their inception onwards. A back word will be searched on derivation studies to find relevant external validation studies. Multivariable prognostic models used for AHF and mortality and/or readmission rate will be eligible for review. Two reviewers will conduct title and abstract screening, full-text review, and data extraction independently. Included models will be summarized qualitatively and quantitatively. We will also provide an overview of critical appraisal of the methodological quality and reporting transparency of included studies using the Prediction model Risk of Bias Assessment Tool(PROBAST tool) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis(TRIPOD statement). Discussion The result of the systematic review could help clinicians better understand and use the prediction models for AHF patients, as well as make standardized decisions about more precise, risk-adjusted management. Systematic review registration : PROSPERO registration number CRD42021256416.

scholarly journals ANMCO POSITION PAPER: Role of intra-aortic balloon pump in patients with acute advanced heart failure and cardiogenic shock

2021 ◽  
Vol 23 (Supplement_C) ◽  
pp. C204-C220
Author(s):  
Roberta Rossini ◽  
Serafina Valente ◽  
Furio Colivicchi ◽  
Cesare Baldi ◽  
Pasquale Caldarola ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiogenic Shock ◽  
Acute Heart Failure ◽  
Advanced Heart Failure ◽  
Position Paper ◽  
Present Position ◽  
Intra Aortic Balloon Pump ◽  
All Cause Mortality ◽  
Practical Recommendations

Abstract The treatment of patients with advanced acute heart failure is still challenging. Intra-aortic balloon pump (IABP) has widely been used in the management of patients with cardiogenic shock. However, according to international guidelines, its routinary use in patients with cardiogenic shock is not recommended. This recommendation is derived from the results of the IABP-SHOCK II trial, which demonstrated that IABP does not reduce all-cause mortality in patients with acute myocardial infarction and cardiogenic shock. The present position paper, released by the Italian Association of Hospital Cardiologists, reviews the available data derived from clinical studies. It also provides practical recommendations for the optimal use of IABP in the treatment of cardiogenic shock and advanced acute heart failure.

scholarly journals Prognostic Impact of Metabolic Syndrome in Patients With Heart Failure: A Meta-Analysis of Observational Studies

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhuo-Ming Huang ◽  
Wen-Rong Chen ◽  
Qi-Wen Su ◽  
Zhuo-Wen Huang
Keyword(s):  
Heart Failure ◽  
Metabolic Syndrome ◽  
Cardiovascular Mortality ◽  
Cardiovascular Events ◽  
Observational Studies ◽  
Meta Analysis ◽  
Prognostic Impact ◽  
The Metabolic Syndrome ◽  
All Cause Mortality ◽  
The Impact

Background: The metabolic syndrome (MS) is significantly associated with the risk of incident heart failure (HF). However, there are still great controversies about the impact of MS on the prognosis in patients with established HF. This meta-analysis aimed to ascertain the effect of MS on the prognosis in patients with HF.Methods: We searched multiple electronic databases, including PubMed, Opengrey, EMBASE, and Cochran Library, for potential studies up to February 15, 2021. Observational studies that reported the impact of MS on the prognosis in patients with established HF were included for meta-analysis.Results: Ten studies comprising 18,590 patients with HF were included for meta-analysis. The median follow-up duration of the included studies was 2.4 years. Compared with HF patients without MS, the risk of all-cause mortality and cardiovascular mortality was not increased in HF with MS (HR = 1.04, 95% CI = 0.88–1.23 for all-cause mortality; HR = 1.66, 95% CI = 0.56–4.88 for cardiovascular mortality, respectively). However, there was a significant increase in composited cardiovascular events in the HF patients with MS compared with those without MS (HR = 1.73, 95% CI = 1.23–2.45).Conclusions: In patients with established HF, the presence of MS did not show an association on the risk of all-cause mortality or cardiovascular mortality, while it may increase the risk of composite cardiovascular events.

Sign in / Sign up

Export Citation Format

Share Document