PMID- 34778384
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20211117
IS  - 2297-055X (Print)
IS  - 2297-055X (Electronic)
IS  - 2297-055X (Linking)
VI  - 8
DP  - 2021
TI  - Predictive Value of HFA-PEFF Score in Patients With Heart Failure With Preserved 
      Ejection Fraction.
PG  - 656536
LID - 10.3389/fcvm.2021.656536 [doi]
LID - 656536
AB  - Aims: HFA-PEFF score has been proposed for diagnosing heart failure with 
      preserved ejection fraction (HFpEF). Currently, there are only a limited number 
      of tools for predicting the prognosis. In this study, we evaluated whether the 
      HFA-PEFF score can predict mortality in patients with HFpEF. Methods: This 
      single-center, retrospective observational study enrolled patients diagnosed with 
      HFpEF at the First Affiliated Hospital of Dalian Medical University between 
      January 1, 2015, and April 30, 2018. The subjects were divided according to their 
      HFA-PEFF score into low (0-2 points), intermediate (3-4 points), and high (5-6 
      points) score groups. The primary outcome was all-cause mortality. Results: A 
      total of 358 patients (mean age: 70.21 +/- 8.64 years, 58.1% female) were included. 
      Of these, 63 (17.6%), 156 (43.6%), and 139 (38.8%) were classified into the low, 
      intermediate, and high score groups, respectively. Over a mean follow-up of 26.9 
      months, 46 patients (12.8%) died. The percentage of patients who died in the low, 
      intermediate, and high score groups were 1 (1.6%), 18 (11.5%), and 27 (19.4%), 
      respectively. A multivariate Cox regression identified HFA-PEFF score as an 
      independent predictor of all-cause mortality [hazard ratio (HR):1.314, 95% CI: 
      1.013-1.705, P = 0.039]. A Cox analysis demonstrated a significantly higher rate 
      of mortality in the intermediate (HR: 4.912, 95% CI 1.154-20.907, P = 0.031) and 
      high score groups (HR: 5.291, 95% CI: 1.239-22.593, P = 0.024) than the low score 
      group. A receiver operating characteristic (ROC) analysis indicated that the 
      HFA-PEFF score can effectively predict all-cause mortality after adjusting for 
      age and New York Heart Association (NYHA) class [area under the curve (AUC) 
      0.726, 95% CI 0.651-0.800, P = 0.000]. With an HFA-PEFF score cut-off value of 
      3.5, the sensitivity and specificity were 78.3 and 54.8%, respectively. The AUC 
      on ROC analysis for the biomarker component of the score was similar to that of 
      the total score. Conclusions: The HFA-PEFF score can be used both to diagnose 
      HFpEF and predict the prognosis. The higher scores are associated with higher 
      all-cause mortality.
CI  - Copyright (c) 2021 Sun, Si, Li, Dai, King, Zhang, Zhang, Xia, Tse and Liu.
FAU - Sun, Yuxi
AU  - Sun Y
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Si, Jinping
AU  - Si J
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Li, Jiaxin
AU  - Li J
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Dai, Mengyuan
AU  - Dai M
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - King, Emma
AU  - King E
AD  - Cardiovascular Analytics Group, Hong Kong SAR, China.
FAU - Zhang, Xinxin
AU  - Zhang X
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Zhang, Yanli
AU  - Zhang Y
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Xia, Yunlong
AU  - Xia Y
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
FAU - Tse, Gary
AU  - Tse G
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
AD  - Cardiovascular Analytics Group, Hong Kong SAR, China.
AD  - Kent and Medway Medical School, Canterbury, United Kingdom.
FAU - Liu, Ying
AU  - Liu Y
AD  - Heart Failure and Structural Cardiology Ward, First Affiliated Hospital of Dalian 
      Medical University, Dalian, China.
LA  - eng
PT  - Journal Article
DEP - 20211029
PL  - Switzerland
TA  - Front Cardiovasc Med
JT  - Frontiers in cardiovascular medicine
JID - 101653388
PMC - PMC8585787
OTO - NOTNLM
OT  - HFA-PEFF score
OT  - HFpEF
OT  - all-cause mortality
OT  - predictive value
OT  - prognosis
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2021/11/16 06:00
MHDA- 2021/11/16 06:01
PMCR- 2021/01/01
CRDT- 2021/11/15 07:10
PHST- 2021/01/21 00:00 [received]
PHST- 2021/10/04 00:00 [accepted]
PHST- 2021/11/15 07:10 [entrez]
PHST- 2021/11/16 06:00 [pubmed]
PHST- 2021/11/16 06:01 [medline]
PHST- 2021/01/01 00:00 [pmc-release]
AID - 10.3389/fcvm.2021.656536 [doi]
PST - epublish
SO  - Front Cardiovasc Med. 2021 Oct 29;8:656536. doi: 10.3389/fcvm.2021.656536. 
      eCollection 2021.