کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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5963470 | 1576128 | 2016 | 5 صفحه PDF | دانلود رایگان |
- In SAD without PE, PH patients had greater LAVI, E/E', LVMI than non-PH patients.
- LAVI, E/E', and LVMI positively correlated with TRV (all p < 0.05). LAVIãE/E', LVMI, and BNP were significant variables influencing TRV.
- LAVI, and E/E' were significant predictors for predicting TRV of â¥Â 2.9m/sec
- Measuring LAVI and E/E' may be a key to determine mechanism of PH in SAD patients.
PurposeWe investigated the relationship of left ventricular (LV) diastolic dysfunction and LV mass index (LVMI) against pulmonary hypertension (PH) in systemic autoimmune disease (SAD).MethodsA total of 84 SAD patients (68 females; 53 ± 17 years; systemic lupus erythematosus, 27%; scleroderma, 17%; vasculitis, 16%; mixed connective tissue disease, 13% and polymyositis/dermatomyositis complex, 10%) without significant pericardial effusion (PE) on TTE (Vivid E9, GE) were analyzed. On TTE, PH was defined as peak tricuspid regurgitation velocity (TRV) of â¥Â 2.9 m/s based upon 2015 ESC guideline. Left atrial volume index (LAVI) and E/Eâ² were measured as indicators of LV diastolic dysfunction. LVMI was also measured.ResultsSeven patients (8%) had PH. PH patients had greater LAVI (p < 0.001), E/Eâ² (p = 0.004), LVMI (p = 0.009) than non-PH patients. LAVI (R = 0.458), E/Eâ² (R = 0.337), and LVMI (R = 0.313) significantly and positively correlated with TRV (all p < 0.05). Multiple regression analysis was performed to explore determinants of TRV. Age, female sex, and brain natriuretic peptide (BNP) were included in all the models. Three multiple regression models were generated using 1) LAVI, 2) E/Eâ², and 3) LVMI and included LAVI, E/Eâ², LVMI, and BNP as significant variables influencing TRV. Multi logistic regression analysis for predicting TRV of â¥Â 2.9 m/s showed that LAVI, and E/Eâ² were significant predictors (Odds ratio, 1.296, and 1.370, respectively).ConclusionIn SAD patients without PE, LV diastolic dysfunction and increment of LVMI was closely associated with PH based upon TRV. LAVI and E/Eâ² were independent predictors for PH. Measuring LAVI and E/Eâ² may be a key to determine the mechanism of PH in these patients.
Journal: International Journal of Cardiology - Volume 220, 1 October 2016, Pages 268-272