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三级护理中心成年镰状细胞贫血患者的心电图变化及其与疾病严重程度的关联:一项横断面研究

Electrocardiographic Changes and Their Association With Disease Severity in Adults With Sickle Cell Anemia at a Tertiary Care Center: A Cross-Sectional Study.

作者信息

Priyan I G, Wasnik Preetam, Kannauje Pankaj K, Das Pranita, Singh Satyajit, Patel Suprava

机构信息

General Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.

Cardiology, All India Institute of Medical Sciences, Raipur, Raipur, IND.

出版信息

Cureus. 2024 May 13;16(5):e60197. doi: 10.7759/cureus.60197. eCollection 2024 May.

DOI:10.7759/cureus.60197
PMID:38868286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11167587/
Abstract

Introduction Sickle cell anemia (SCA), a severe hematological disorder, is characterized by the presence of sickle-shaped erythrocytes that obstruct capillaries and restrict blood flow. This pathophysiology not only promotes systemic complications but may also influence cardiac function. Cardiac complications are a leading cause of mortality in SCA patients, yet the specific electrocardiographic (ECG) changes associated with disease severity are not thoroughly understood. This cross-sectional study aimed to explore ECG abnormalities in adults with SCA and correlate these findings with disease severity. Methods An observational cross-sectional study was conducted over 18 months, from January 2022 to June 2023, among 140 SCA patients at the Sickle Cell OPD of All India Institute of Medical Sciences, Raipur, Raipur, India. Steady-state SCA (HbS >50%) patients screened by high-performance liquid chromatography were enrolled. A history, physical examination, complete blood count, and ECG were done for all cases. The disease severity score was calculated using the Adegoke and Kuti severity scores, and their association with various ECG changes was studied. The chi-square test (Fisher's exact test, wherever applicable) was used for comparing the proportion. The correlation was done using the Pearson correlation coefficient or Spearman's rho. Results Out of 140 patients, the mean age of the study participants was 26 ± 6 years. More than half of the cases (80; 57%) fall under the 18-27 age group, with a male-to-female ratio of 4:3. A total of 99 (70.7%) of the participants had mild disease, and 41 (29.3%) had moderate disease. The QT interval was significantly higher among patients with mild disease compared to those with moderate disease (p-value: <0.01). QTc dispersion and prolonged QTc interval were significantly higher among patients with moderate disease compared to mild disease (p-value <0.01, 0.04, respectively). Sinus tachycardia and right ventricular hypertrophy with p-pulmonale were significantly higher in moderate severity (p < 0.01). A significant positive correlation was observed between QTc dispersion, P-wave dispersion, and severity (r: 0.19, 0.17; p-value: 0.02, 0.04, respectively). Conclusion As the disease severity progressed, the ECG changes studied had a higher distribution and significance. ECG is a readily and widely accessible investigation that can be used to screen all SCA patients for early recognition of various underlying cardiac complications.

摘要

引言

镰状细胞贫血(SCA)是一种严重的血液系统疾病,其特征是存在镰状红细胞,这些红细胞会阻塞毛细血管并限制血流。这种病理生理过程不仅会引发全身并发症,还可能影响心脏功能。心脏并发症是SCA患者死亡的主要原因,然而,与疾病严重程度相关的具体心电图(ECG)变化尚未完全明确。这项横断面研究旨在探讨成年SCA患者的心电图异常,并将这些发现与疾病严重程度相关联。

方法

在2022年1月至2023年6月的18个月期间,对印度赖布尔全印医学科学研究所镰状细胞门诊的140例SCA患者进行了一项观察性横断面研究。纳入通过高效液相色谱法筛查出的稳态SCA(HbS>50%)患者。对所有病例进行了病史采集、体格检查、全血细胞计数和心电图检查。使用阿德戈克和库蒂严重程度评分计算疾病严重程度评分,并研究其与各种心电图变化的关联。采用卡方检验(适用时使用费舍尔精确检验)比较比例。使用皮尔逊相关系数或斯皮尔曼等级相关系数进行相关性分析。

结果

在140例患者中,研究参与者的平均年龄为26±6岁。超过一半的病例(80例;57%)属于18 - 27岁年龄组,男女比例为4:3。共有99例(70.7%)参与者患有轻度疾病,41例(29.3%)患有中度疾病。轻度疾病患者的QT间期显著高于中度疾病患者(p值:<0.01)。与轻度疾病患者相比,中度疾病患者的QTc离散度和QTc间期延长显著更高(p值分别为<0.01和0.04)。中度严重程度患者的窦性心动过速和伴肺型P波的右心室肥大显著更高(p<0.01)。在QTc离散度、P波离散度与严重程度之间观察到显著的正相关(r分别为0.19、0.17;p值分别为0.02、0.04)。

结论

随着疾病严重程度的进展,所研究的心电图变化分布和意义更高。心电图是一种易于获得且广泛应用于临床的检查方法,可用于筛查所有SCA患者,以便早期识别各种潜在的心脏并发症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/1d760644e52d/cureus-0016-00000060197-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/87db351ba5d1/cureus-0016-00000060197-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/dea439b5d794/cureus-0016-00000060197-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/58955c174374/cureus-0016-00000060197-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/31ae3bec1ef5/cureus-0016-00000060197-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/1d760644e52d/cureus-0016-00000060197-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/87db351ba5d1/cureus-0016-00000060197-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/dea439b5d794/cureus-0016-00000060197-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/58955c174374/cureus-0016-00000060197-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/31ae3bec1ef5/cureus-0016-00000060197-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/11167587/1d760644e52d/cureus-0016-00000060197-i05.jpg

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