Early detect left ventricular subclinical myocardial dysfunction in patients with systemic lupus erythematosus by a left ventricular pressure-strain loop.


Journal

Lupus
ISSN: 1477-0962
Titre abrégé: Lupus
Pays: England
ID NLM: 9204265

Informations de publication

Date de publication:
Apr 2022
Historique:
pubmed: 30 3 2022
medline: 8 4 2022
entrez: 29 3 2022
Statut: ppublish

Résumé

Noninvasive myocardial work (MW) is a new technology which is based on strain after considering the load influence on myocardial deformation. We aimed to investigate the feasibility of quantitatively assessing left ventricular myocardial work (LVMW) in patients with systemic lupus erythematosus (SLE) using a left ventricular pressure-strain loop (LVPSL). 76 patients with SLE were included in the study (A), further divided into two subgroups according to the presence of lupus nephritis (LN). Global longitudinal strain (GLS), peak strain dispersion (PSD), global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE) were obtained. 1: Patients with SLE demonstrated a significantly reduced GWE and GLS compared with control group, GWW and PSD were increased, above changes were more pronounced in patients with LN. There was no significant difference in GWI and GCW. 2: Receiver operating characteristic (ROC) analysis demonstrated that GWE was the most powerful tool for detecting myocardial insufficiency early in SLE patients, and the area under the curve (AUC) was 0.804, and was superior to GLS (AUC = 0.707). GWE remains the best indicator of subclinical myocardial injury in patients with LN. The AUC was 0.910, and the best cutoff point was 96.5% (sensitivity 83.3%, specificity 73.3%). LVPSL can be used to noninvasively assess changes in MW in patients with SLE. Noninvasive GWE is a more sensitive index than GLS to detect subclinical myocardial injury early in SLE patients. This is a potential valuable clinical tool to assist in the early-find myocardial damage.

Identifiants

pubmed: 35348025
doi: 10.1177/09612033221089150
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

596-605

Auteurs

Xiao-Fang Zhong (XF)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Li-Xin Chen (LX)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Li-Xiong Liu (LX)

Department of Rheumatology, 74573Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Gui-Juan Peng (GJ)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Shu-Yu Luo (SY)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Dong-Sheng Liu (DS)

Department of Pain Management, 12387Peking University Shenzhen Hospital, Shenzhen, China.

Jin-Feng Xu (JF)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

Ying-Ying Liu (YY)

Department of Ultrasound, 12387Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.

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