Assessment of subclinical right ventricular systolic dysfunction in coal miners using myocardial isovolumic acceleration.
Echocardiography
; 34(9): 1299-1304, 2017 Sep.
Article
en En
| MEDLINE
| ID: mdl-28929619
ABSTRACT
OBJECTIVE:
Several studies have been conducted regarding the effects of coal mining on the respiratory system. However, there is a lack of data concerning potential effects of coal mining on the cardiovascular system. In this study, we aimed to evaluate the potential subclinical right and left ventricular dysfunction in coal miners.METHODS:
This single-center, prospective study included a total of 102 patients. Patient and control groups consisted of 54 coal miners and 48 healthy men, respectively. All patients underwent 12-lead electrocardiography, transthoracic echocardiography, and pulmonary function test.RESULTS:
As compared to control group, coal miners had significantly higher right ventricular myocardial performance index (RVMPI) (0.41 ± 0.03 vs 0.37 ± 0.02, P < .001), lower right ventricular fractional area change (RVFAC) (33.55% ± 6.70% vs 37.04 ± 9.26 P < .05), lower tricuspid annular plane systolic excursion (TAPSE) (1.54 ± 0.17 vs 1.73 ± 0.25, P < .001), lower myocardial isovolumic acceleration (IVA) (2.13 ± 0.16 vs 2.56 ± 0.36 P < .001) and decreased aortic distensibility (AD) (4.14 ± 2.18 vs 6.63 ± 3.91 P < .001). All of the echocardiographic parameters were positively correlated with exposure time to coal mine dust, except IVA.CONCLUSION:
Echocardiographic parameters of both right and left ventricular dysfunction, including RVMPI, RVFAC, TAPSE, IVA, and AD, are impaired in coal miners.Palabras clave
Texto completo:
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Base de datos:
MEDLINE
Asunto principal:
Ecocardiografía
/
Función Ventricular Derecha
/
Minas de Carbón
/
Disfunción Ventricular Derecha
/
Antracosis
/
Contracción Miocárdica
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Echocardiography
Asunto de la revista:
CARDIOLOGIA
/
DIAGNOSTICO POR IMAGEM
Año:
2017
Tipo del documento:
Article