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Evaluation of subclinical left ventricular systolic dysfunction in obese patients by global myocardial work.
Huang, Jun; Li, Guang-An; Wang, Jing; Jiao, Yu-Wen; Qian, Zhi-Feng; Fan, Li; Tang, Li-Ming.
Afiliação
  • Huang J; Department of Echocardiography, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Li GA; Department of Echocardiography, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Wang J; Department of Weight Loss Metabolic Surgery, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Jiao YW; Department of Weight Loss Metabolic Surgery, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Qian ZF; Department of Weight Loss Metabolic Surgery, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Fan L; Department of Echocardiography, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China.
  • Tang LM; Department of Weight Loss Metabolic Surgery, The Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou, 213003, China. drtangliming@163.com.
Diabetol Metab Syndr ; 15(1): 254, 2023 Dec 06.
Article em En | MEDLINE | ID: mdl-38057836
ABSTRACT

OBJECTIVE:

To evaluate subclinical LV systolic dysfunction in obese patients by global myocardial work (MW).

METHODS:

A total of 589 obese patients and 100 normal controls were enrolled in the study. The global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE) were generated by a noninvasive pressure-strain loop (PSL) in apical 3-, 4- and 2-chamber views acquired by two-dimensional echocardiography. All obese patients were divided into three groups class I obesity (mild) 30-35 kg/m2, class II obesity (moderate) 35-40 kg/m2 and class III obesity (severe) > 40 kg/m2. These values were compared among the three groups. The independent influencing factors of subclinical LV systolic dysfunction in obese patients were explored by constructing a multiple regression model. ROC analysis was performed to determine the performance of MW to detect subclinical LV systolic dysfunction in obese patients.

RESULTS:

The absolute value of GLS in obese patients was significantly lower than that in normal controls (P < 0.001). The values of GWI, GCW, GWE and GCW/GWW in obese patients were significantly lower than those in normal controls (P < 0.05), while GWW was significantly larger than that in normal controls (P < 0.001). Subgroup analysis and trend analysis showed that the values of GWI, GCW, GWE and GCW/GWW in severe obese patients were lower than those in moderate obese patients and lower than those in mild obese patients (P < 0.01), while GWW in severe obese patients was larger than that in moderate obese patients and larger than that in mild obese patients (P < 0.05). Female sex, BMI and SBP were independent influencing factors of impaired GWI (ß = 0.15, P < 0.001) (ß=-0.18, P < 0.001) (ß = 0.50, P < 0.001) and GCW (ß = 0.17, P < 0.001) (ß=-0.19, P < 0.001) (ß = 0.57, P < 0.001). ROC analysis showed that the AUC of the combined global MW was significantly higher than the AUCs of the individual indices (P < 0.05).

CONCLUSION:

In this study, we conclude that subclinical LV systolic dysfunction was detected by the novel global MW technique in obese patients. Elevated BMI in obese patients results in an increased risk of subclinical LV systolic dysfunction, although the LVEF is normal. Controlling BMI in obese patients may reduce the impairment to the LV myocardial systolic function. Global MW is a novel and reproducible technique that can be well applied in the clinical evaluation of subclinical LV systolic dysfunction.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article