PMID- 35712000
OWN - NLM
STAT- MEDLINE
DCOM- 20221227
LR  - 20221227
IS  - 1748-6718 (Electronic)
IS  - 1748-670X (Print)
IS  - 1748-670X (Linking)
VI  - 2022
DP  - 2022
TI  - Effect Evaluation of Cardiac Resynchronization Therapy in Elderly Patients with 
      Heart Failure by Ultrasound Image under QuickOpt Algorithm.
PG  - 8680446
LID - 10.1155/2022/8680446 [doi]
LID - 8680446
AB  - This research was aimed at analyzing the application value of echocardiography 
      and QuickOpt algorithm in optimizing parameters of cardiac resynchronization 
      therapy (CRT) in elderly patients with heart failure. 50 elderly patients who 
      were diagnosed with chronic heart failure and underwent CRT were chosen as the 
      research objects. According to the different optimization methods, the patients 
      were divided into the echocardiography group and QuickOpt algorithm group, 25 
      cases in each group. The general data, optimized intervals, corresponding maximum 
      aortic velocity time integrals (aVTIs), cardiac ultrasound indicators, and 
      ventricular arrhythmia episodes of the patients in the two groups were analyzed. 
      The results showed that there was no significant difference in the optimized 
      sensed atrioventricular (SAV), paced atrioventricular (PAV), and ventricle to 
      ventricle (VV) intervals and the corresponding aVTIs obtained by echocardiography 
      and QuickOpt (P > 0.05). The consistency analysis revealed that the aVTIs in the 
      SAV, PAV, and VV intervals presented a good consistency (P < 0.01), which were 
      obtained by the echocardiography and QuickOpt functional optimization; the 
      concordance correlation coefficient (CCC) in them was 96.16%, 98.03%, and 95.48%, 
      respectively. The left ventricular ejection fraction (LVEF) showed an increasing 
      trend over time in both groups, while the left ventricular end systolic volume 
      (LVESV), left ventricular end diastolic volume (LVEDV), and morphological right 
      ventricle (MRV) showed the downward trends over time, and the differences between 
      two groups were not significant (P > 0.05). For the premature ventricular 
      contraction (PVC) of ventricular arrhythmia episodes, there was no significant 
      difference between the two groups in log (PVCs) and log (PVC runs) (P > 0.05). It 
      was also found that both echocardiography and QuickOpt algorithm could improve 
      the cardiac function of patients with heart failure significantly and reduce 
      ventricular arrhythmia episodes and ventricular remodeling via optimized CRT; 
      there was no difference in the improvement effect of the two optimization 
      methods. However, echocardiography was inferior to QuickOpt algorithm in terms of 
      time-consuming optimization in the intervals. This provided a reference for the 
      clinical diagnosis and treatment of elderly patients with heart failure.
CI  - Copyright (c) 2022 Na Hu et al.
FAU - Hu, Na
AU  - Hu N
AUID- ORCID: 0000-0003-4109-4122
AD  - Department of Cardiovascular Medicine, Changsha Fourth Hospital, Changsha, 410000 
      Hunan, China.
FAU - Yi, Na
AU  - Yi N
AUID- ORCID: 0000-0001-9686-4839
AD  - Department of Cardiovascular Medicine, Changsha Fourth Hospital, Changsha, 410000 
      Hunan, China.
FAU - Yang, Huiqiong
AU  - Yang H
AUID- ORCID: 0000-0003-1474-4046
AD  - General Medicine, Changsha Fourth Hospital, Changsha, 410000 Hunan, China.
LA  - eng
PT  - Journal Article
DEP - 20220607
PL  - United States
TA  - Comput Math Methods Med
JT  - Computational and mathematical methods in medicine
JID - 101277751
SB  - IM
MH  - Aged
MH  - Humans
MH  - Algorithms
MH  - Arrhythmias, Cardiac/diagnostic imaging/therapy
MH  - *Cardiac Resynchronization Therapy/methods
MH  - *Heart Failure/diagnostic imaging/therapy
MH  - Stroke Volume
MH  - Treatment Outcome
MH  - Ventricular Function, Left
PMC - PMC9197669
COIS- The authors declare no conflicts of interest.
EDAT- 2022/06/18 06:00
MHDA- 2022/06/22 06:00
PMCR- 2022/06/07
CRDT- 2022/06/17 02:35
PHST- 2022/03/03 00:00 [received]
PHST- 2022/05/02 00:00 [revised]
PHST- 2022/05/09 00:00 [accepted]
PHST- 2022/06/17 02:35 [entrez]
PHST- 2022/06/18 06:00 [pubmed]
PHST- 2022/06/22 06:00 [medline]
PHST- 2022/06/07 00:00 [pmc-release]
AID - 10.1155/2022/8680446 [doi]
PST - epublish
SO  - Comput Math Methods Med. 2022 Jun 7;2022:8680446. doi: 10.1155/2022/8680446. 
      eCollection 2022.