Limited value of brain natriuretic peptide as a prognostic marker in acute heart failure — A meta-analysis

2010 ◽  
Vol 145 (3) ◽  
pp. 540-541 ◽  
Author(s):  
Andrew Binder ◽  
Ignacio M. Seropian ◽  
Michael C. Kontos ◽  
Benjamin W. Van Tassell ◽  
Giuseppe G.L. Biondi-Zoccai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Brain Natriuretic Peptide ◽  
Acute Heart Failure ◽  
Natriuretic Peptide ◽  
Prognostic Marker ◽  
Meta Analysis

scholarly journals Efficacy and Safety of TCMI in Patients With Combined Coronary Heart Disease and Heart Failure: A Systematic Review and Network Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Penglu Wei ◽  
Kuo Yang ◽  
Dehuai Long ◽  
Yupei Tan ◽  
Wenlong Xing ◽  
...  
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Brain Natriuretic Peptide ◽  
Natriuretic Peptide ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Efficacy And Safety ◽  
Effectiveness Rate

Objective: To compare the efficacy and safety of conventional treatments (CTs) to those that included traditional Chinese medicine injections (TCMIs) in patients with combined coronary heart disease and heart failure (CHD-HF).Methods: Eight electronic literature databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, China National Knowledge Infrastructure Database, Chinese Scientific Journal Database, Wanfang Database, Chinese Biomedical Database) were searched from their inceptions to May 18, 2021, to identify relevant randomised controlled trials (RCTs). The primary outcomes analyzed included the total effectiveness rate and adverse events (ADRs). The secondary outcomes analyzed included the left ventricular ejection fraction (LVEF), N-terminal pro-brain natriuretic peptide (NT-proBNP), brain natriuretic peptide (BNP), and 6-min walk test (6MWT). Cochrane risk-of-bias tool was used to assess quality of the analyzed RCTs. Stata and OpenBUGS software were used to prior to the systematic review and network meta-analysis.Results: Sixty-one eligible trials involved 5,567 patients and one of the following 15 TCMIs: Shuxuetong, Shenmai, Shenfu, Shengmai, Danshenduofenyansuan, Danhong, Dazhuhongjingtian, Xinmailong, Dengzhanxixin, Gualoupi, Shuxuening, Xuesaitong, Yiqi Fumai, Shenqi Fuzheng, Huangqi. Network meta-analysis revealed that Shuxuetong injection + CT group was superior to CT only in improving the total effectiveness rate [odds ratio (OR): 7.8, 95% confidence interval (CI): 1.17–27.41]. Shenmai injection + CT was superior to CT only for LVEF (OR: 8.97, CI: 4.67–13.18), Xinmailong injection + CT was superior to CT only for NT-proBNP (OR: −317.70, CI: −331.10–303.10), Shenqi Fuzheng injection + CT was superior to CT only for BNP (OR: −257.30, CI: −308.40–242.80); and Danhong injection + CT was superior to CT only for 6MWT (OR: 84.40, CI: 62.62−106.20). Different TCMIs had different toxicity spectrums.Conclusion: TCMIs combined with CT are better than CT alone in treating CHD-HF. Different TCMIs improve different outcomes. Additional properly designed RCTs are needed to conduce a more refined comparison of various TCMIs.Systematic Review Registration: [https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021258263].

scholarly journals Impact of brain natriuretic peptide reduction on the worsening renal function in patients with acute heart failure

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0235493
Author(s):  
Kenji Yoshioka ◽  
Yuya Matsue ◽  
Takahiro Okumura ◽  
Keisuke Kida ◽  
Shogo Oishi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Renal Function ◽  
Brain Natriuretic Peptide ◽  
Acute Heart Failure ◽  
Natriuretic Peptide ◽  
Worsening Renal Function

Brain Natriuretic Peptide Helps Prognosticate Improvement in Renal Function in Acute Heart Failure

2018 ◽  
Vol 24 (8) ◽  
pp. S20-S21
Author(s):  
Yu H. Horiuchi ◽  
Nicholas Wettersten ◽  
Patrick Murray ◽  
Alan Maisel
Keyword(s):  
Heart Failure ◽  
Renal Function ◽  
Brain Natriuretic Peptide ◽  
Acute Heart Failure ◽  
Natriuretic Peptide

The diagnostic utility of brain natriuretic peptide in heart failure patients presenting with acute dyspnea: a meta-analysis

2013 ◽  
Vol 51 (6) ◽  
Author(s):  
Paolo Mastandrea
Keyword(s):  
Heart Failure ◽  
Brain Natriuretic Peptide ◽  
Natriuretic Peptide ◽  
Meta Analysis ◽  
Heart Association ◽  
Laboratory Method ◽  
Significant Heterogeneity ◽  
Acute Dyspnea ◽  
Significant Difference ◽  
Meta Regression

AbstractHeart failure with normal ejection fraction (HFNEF) accounts for approximately 50% of heart failure (HF) cases. To establish the utility of brain natriuretic peptide (BNP) in differentiating HF-related severe dyspnea from non-HF-related acute dyspnea, we used an estimation formula (eF) that was obtained from a series of three meta-regressions. We selected 60 out of 2721 case-control and follow-up studies that were published from 1998 to 2010. The heart failure levels (HFLs) were assessed using the New York Heart Association (NYHA) criteria. Random-effects meta-regression analyses of the natural logarithm (ln) of the BNP odds ratio (OR) were performed on the HFLs. The ln of the median BNP values (lnmBNP) was meta-regressed over the laboratory method (LM). A third meta-regression was performed on the HFLs to account for only the lnmBNP in the homogeneous LM subgroups. To determine the eF, the data from the diseased and control subjects were combined. The Bland-Altman method was used to detect eF bias. The overall BNP(OR) in the subgroup with severe HF was 35. The lnmBNP analysis showed that LM was a significant heterogeneity factor in the meta-regression (slope −0.38; CI −0.59 to −0.16). The meta-regression of lnmBNP on the HFL resulted in the following calculation for eF: estimated HFL (eHFL)=(lnmBNP–3.157)/0.886. The Bland-Altman test revealed no significant difference (0.0997; 95% CI −2.84 to 3.06) between HFL and eHFL. The severe eHFL showed a 78% accuracy. Based on the eF obtained from this meta-analysis, the BNP outcomes were shown to reliably diagnose severe dyspnea in HF and differentiate this condition from non-HF acute dyspnea.

Sign in / Sign up

Export Citation Format

Share Document