Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Hypertension is the subject of a report. According to news re porting from Malang, Indonesia, by NewsRx journalists, research stated, “Pulmona ry arterial hypertension (PAH) is a severe cardiovascular condition characterize d by pulmonary vascular remodeling, increased resistance to blood flow, and even tual right heart failure. Right heart catheterization (RHC) is the gold standard diagnostic technique, but due to its invasiveness, it poses risks such as vesse l and valve injury.” The news correspondents obtained a quote from the research from Universitas Braw ijaya, “In recent years, machine learning (ML) technologies have offered non-inv asive alternatives combined with ML for improving the diagnosis of PAH. The stud y aimed to evaluate the diagnostic performance of various methods, such as elect rocardiography (ECG), echocardiography, blood biomarkers, microRNA, chest xray, clinical codes, computed tomography (CT) scan, and magnetic resonance imaging ( MRI), combined with ML in diagnosing PAH. The outcomes of interest included sens itivity, specificity, area under the curve (AUC), positive likelihood ratio (PLR ), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). This study employed the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool for quality appraisal and STATA V.12.0 for the meta-analysis. A comprehensive s earch across six databases resulted in 26 articles for examination. Twelve artic les were categorized as low-risk, nine as moderate-risk, and five as high-risk. The overall diagnostic performance analysis demonstrated significant findings, w ith sensitivity at 81% (95% CI = 0.76-0.85, <0.001), specificity at 84% (95% CI = 0.77-0.88, <0.001), and an AUC of 89% (95% CI = 0.85-0.91). In the subgroup analysis, echocardiography displayed outstanding results, with a se nsitivity value of 83% (95% CI = 0.72-0.91), specifi city value of 93% (95% CI = 0.89-0.96), PLR value of 12.4 (95% CI = 6.8-22.9), and DOR value of 70 (95% CI = 23-231). ECG demonstrated excellent accuracy performance, with a sensitivit y of 82% (95% CI = 0.80-0.84) and a specificity of 8 2 % (95% CI = 0.78-0.84). Moreover, blood biomarkers exhibited the highest NLR value of 0.50 (95% CI = 0.42-0.59). The implementation of echocardiography and ECG with ML for diagnosing PAH presents a promising alternative to RHC.”
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