PMID- 35169397 OWN - NLM STAT- MEDLINE DCOM- 20220315 LR - 20231110 IS - 1748-6718 (Electronic) IS - 1748-670X (Print) IS - 1748-670X (Linking) VI - 2022 DP - 2022 TI - The Value of Echocardiography Combined with NT-pro BNP Level in Assessment and Prognosis of Diastolic Heart Failure. PG - 2102496 LID - 10.1155/2022/2102496 [doi] LID - 2102496 AB - BACKGROUND: To investigate the significance of echocardiography combined with N-terminal pro-B-type natriuretic peptide (NT-pro BNP) levels in the evaluation and prognosis of diastolic heart failure (DHF). METHODS: Clinical data were collected from 168 patients with DHF. Serum levels of NT-pro BNP were first measured by ELISA. Meanwhile, the echocardiography was used to examine left ventricular end-diastolic diameter (LVEDD), left ventricular diameter (LVD), and other parameters. Multivariate logistic regression analysis was performed for variables in heart failure assessment grade or poor prognosis. Finally, the predictive ability for New York Heart Association (NYHA) class as well as prognosis was assessed by ROC curves. RESULTS: NT-pro BNP was the overexpression in the serum of patients with DHF. And the degree of elevation was related to NYHA class, while NT-pro BNP levels were significantly higher in the P-MACE group than in the N-MACE group. According to the multivariate logistic regression analysis, the ratio of peak velocity of left atrial early diastolic blood flow to early diastolic peak velocity of mitral annulus (E/Ea) and serum NT-pro BNP level was risk factors for NYHA class and prognosis. However, LVEF, LVEDD, and flow propagation velocity (Vp) can be a benefit condition. In addition, ROC curve showed that echocardiography combined with NT-pro BNP content had higher accuracy in NYHA class and prognostic assessment of DHF than applied separately. CONCLUSIONS: The diagnosis of echocardiography combined with NT-pro BNP levels has the potential to distinguish the NYHA class in heart function of patients with DHF and determine the prognosis of patients. CI - Copyright (c) 2022 Shaolei Chen et al. FAU - Chen, Shaolei AU - Chen S AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. FAU - Zhou, Yanli AU - Zhou Y AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. FAU - Wu, Xia AU - Wu X AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. FAU - Shi, Shaojun AU - Shi S AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. FAU - Wu, Haiyan AU - Wu H AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. FAU - Li, Peng AU - Li P AUID- ORCID: 0000-0002-3652-7870 AD - Department of Ultrasound Medicine, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, Hubei, China. LA - eng PT - Journal Article PT - Retracted Publication DEP - 20220204 PL - United States TA - Comput Math Methods Med JT - Computational and mathematical methods in medicine JID - 101277751 RN - 0 (Biomarkers) RN - 0 (Peptide Fragments) RN - 0 (pro-brain natriuretic peptide (1-76)) RN - 114471-18-0 (Natriuretic Peptide, Brain) SB - IM RIN - Comput Math Methods Med. 2023 Nov 1;2023:9784095. PMID: 37946937 MH - Aged MH - Biomarkers/blood MH - Case-Control Studies MH - Computational Biology MH - Echocardiography, Doppler, Color MH - Female MH - Heart Failure, Diastolic/*blood/classification/*diagnostic imaging MH - Humans MH - Logistic Models MH - Male MH - Middle Aged MH - Multivariate Analysis MH - Natriuretic Peptide, Brain/*blood MH - Peptide Fragments/*blood MH - Prognosis MH - ROC Curve PMC - PMC8841100 COIS- The authors declare that they have no conflict of interest. EDAT- 2022/02/17 06:00 MHDA- 2022/03/16 06:00 PMCR- 2022/02/04 CRDT- 2022/02/16 05:49 PHST- 2021/10/19 00:00 [received] PHST- 2021/12/22 00:00 [revised] PHST- 2022/01/04 00:00 [accepted] PHST- 2022/02/16 05:49 [entrez] PHST- 2022/02/17 06:00 [pubmed] PHST- 2022/03/16 06:00 [medline] PHST- 2022/02/04 00:00 [pmc-release] AID - 10.1155/2022/2102496 [doi] PST - epublish SO - Comput Math Methods Med. 2022 Feb 4;2022:2102496. doi: 10.1155/2022/2102496. eCollection 2022.