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炎症生物标志物和血脂参数可能预示系统性硬化症患者发生房性心律失常的风险增加。

Inflammatory Biomarkers and Lipid Parameters May Predict an Increased Risk for Atrial Arrhythmias in Patients with Systemic Sclerosis.

作者信息

Sebestyén Veronika, Ujvárosy Dóra, Ratku Balázs, Lőrincz Hajnalka, Csiha Sára, Tari Dóra, Majai Gyöngyike, Somodi Sándor, Szűcs Gabriella, Harangi Mariann, Szabó Zoltán

机构信息

Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary.

出版信息

Biomedicines. 2025 Jan 16;13(1):220. doi: 10.3390/biomedicines13010220.

Abstract

BACKGROUND/OBJECTIVES: Autoimmune inflammation enhances the electrical instability of the atrial myocardium in patients with systemic sclerosis (SSc); thus, atrial arrhythmia risk is increased, which might be predicted by evaluating the P wave interval and dispersion of a 12-lead surface electrocardiogram (ECG).

METHODS

We examined 26 SSc patients and 36 healthy controls and measured the P wave interval and P wave dispersion of the 12-lead surface ECG in each patient. Furthermore, echocardiography and 24-h Holter ECG were performed and levels of inflammatory laboratory parameters, including serum progranulin (PGRN), sVCAM-1, sICAM-1, leptin and C-reactive protein (CRP), were determined. Lipid parameters, such as Apo A-I, LDL-cholesterol (LDL-C), oxidized LDL (oxLDL) and the LDL and HDL subfractions were also evaluated.

RESULTS

The P wave interval showed a significant positive correlation with the levels of Apo A-I, LDL-C, CRP, sVCAM-1, sICAM-1 and leptin. The oxLDL level correlated positively with P wave dispersion. Of note, significant positive correlation was also found between the large HDL percentage and the P wave interval.

CONCLUSIONS

Our results suggest that PGRN, sVCAM-1, sICAM-1, leptin, CRP, LDL-C and oxLDL, along with LDL and HDL subfractions, might have a role in atrial arrhythmogenesis in patients with SSc.

摘要

背景/目的:自身免疫性炎症会增强系统性硬化症(SSc)患者心房心肌的电不稳定性;因此,房性心律失常风险增加,这或许可通过评估12导联体表心电图(ECG)的P波间期和离散度来预测。

方法

我们检查了26例SSc患者和36名健康对照者,测量了每位患者12导联体表ECG的P波间期和P波离散度。此外,进行了超声心动图和24小时动态心电图检查,并测定了包括血清前颗粒蛋白(PGRN)、可溶性血管细胞黏附分子-1(sVCAM-1)、可溶性细胞间黏附分子-1(sICAM-1)、瘦素和C反应蛋白(CRP)在内的炎症实验室参数水平。还评估了脂质参数,如载脂蛋白A-I(Apo A-I)、低密度脂蛋白胆固醇(LDL-C)、氧化低密度脂蛋白(oxLDL)以及LDL和HDL亚组分。

结果

P波间期与Apo A-I、LDL-C、CRP、sVCAM-1、sICAM-1和瘦素水平呈显著正相关。oxLDL水平与P波离散度呈正相关。值得注意的是,大HDL百分比与P波间期之间也发现了显著正相关。

结论

我们的结果表明,PGRN、sVCAM-1、sICAM-1、瘦素、CRP、LDL-C和oxLDL,以及LDL和HDL亚组分,可能在SSc患者的房性心律失常发生中起作用。

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