Oguntade Ayodipupo S, Ajayi IkeOluwapo O, Aje Akinyemi, Adebiyi Adewole A, Ogah Okechukwu S, Adeoye Abiodun M
Department of Medicine, University College Hospital, Ibadan, Nigeria.
Department of Epidemiology and Medical Statistics, University of Ibadan, Nigeria.
J Saudi Heart Assoc. 2020 Aug 19;32(3):383-395. doi: 10.37616/2212-5043.1156. eCollection 2020.
Hypertension is the leading cause of HF in sub-Saharan Africa. Electrocardiography (ECG) is a cheap and easily available stratification tool for the diagnosis and prognostication of individuals with hypertension. The aim of this study was to develop an ECG-based HF diagnostic score among patients with hypertension attending a specialist cardiology clinic.
One hundred and one (101) case-control age- and sex-matched pairs were recruited. The study population were adults with a clinical diagnosis of hypertensive HF failure (cases) and systemic hypertension without HF (controls). Participants underwent clinical assessment and ECG. Associations between ECG variables and HF risk were tested with chi square test. Logistic regression modelling (age- and sex adjusted) was trained on a random subset of participants and tested on the remaining participants to determine the ECG abnormalities that are diagnostic of HF and develop a HF diagnostic score. The HF diagnostic score was then validated in an independent dataset of the ECG-Hypertension Audit. Goodness of fit and c-statistics of the HF summed diagnostic score in the training, testing and validation datasets are presented. A two-sided p value of <0.05 was considered statistically significant.
The independent ECG diagnostic markers of HF among hypertensive patients in this study in decreasing order of effect size were sinus tachycardia (aOR: 7.72, 95% CI: 2.31-25.85). arrhythmia (aOR: 7.14, 95% CI: 2.57-19.86), left ventricular hypertrophy (aOR: 4.47; 1.85-10.77) and conduction abnormality (aOR: 3.41, 95% CI: 1.21-9.65). The HF summed diagnostic score showed excellent calibration and discrimination in the training (Hosmer Lemeshow p = 0.90; c-statistic 0.82; 95% CI 0.76-0.89) and test samples (Hosmer Lemeshow p=0.31; c-statistic 0.73 95% CI 0.60 to 0.87) of the derivation cohort and an independent validation audit cohort (Hosmer Lemeshow p = 0.17; c-statistic 0.79 95% CI 0.74 to 0.84) respectively. The model showed high diagnostic accuracy in individuals with different intermediate pre-test probabilities of HF.
A ECG based HF score consisting of sinus tachycardia, arrhythmia, conduction abnormality and left ventricular hypertrophy is diagnostic of HF especially in those with intermediate pre-test probability of HF. This has clinical importance in the stratification of individuals with systemic hypertension.
在撒哈拉以南非洲地区,高血压是心力衰竭(HF)的主要病因。心电图(ECG)是一种用于高血压患者诊断和预后评估的廉价且易于获得的分层工具。本研究的目的是在一家专科心脏病诊所就诊的高血压患者中开发一种基于心电图的HF诊断评分系统。
招募了101对年龄和性别匹配的病例对照。研究人群为临床诊断为高血压性心力衰竭(病例)和无HF的系统性高血压(对照)的成年人。参与者接受了临床评估和心电图检查。采用卡方检验测试心电图变量与HF风险之间的关联。在参与者的随机子集中进行逻辑回归建模(年龄和性别调整),并在其余参与者上进行测试,以确定可诊断HF的心电图异常,并开发HF诊断评分系统。然后在心电图 - 高血压审计的独立数据集中验证HF诊断评分系统。呈现了训练、测试和验证数据集中HF综合诊断评分的拟合优度和c统计量。双侧p值<0.05被认为具有统计学意义。
在本研究中,高血压患者中HF的独立心电图诊断标志物按效应大小降序排列为窦性心动过速(调整后比值比:7.72,95%置信区间:2.31 - 25.85)、心律失常(调整后比值比:7.14,95%置信区间:2.57 - 19.86)、左心室肥厚(调整后比值比:4.47;1.85 - 10.77)和传导异常(调整后比值比:3.41,95%置信区间:1.21 - 9.65)。HF综合诊断评分在推导队列的训练样本(Hosmer Lemeshow p = 0.90;c统计量0.82;95%置信区间0.76 - 0.89)和测试样本(Hosmer Lemeshow p = 0.31;c统计量0.73,95%置信区间0.60至0.87)以及独立验证审计队列(Hosmer Lemeshow p = 0.17;c统计量0.79,95%置信区间0.74至0.84)中分别显示出良好的校准和区分能力。该模型在具有不同HF预测试概率的个体中显示出较高的诊断准确性。
由窦性心动过速、心律失常、传导异常和左心室肥厚组成的基于心电图的HF评分可用于诊断HF,特别是在那些具有中等HF预测试概率的患者中。这在系统性高血压个体的分层中具有临床重要性。