It remains unknown which surrogate markers can predict diagnostic test results for primary hyperaldosteronism (PA). The Secondary Hypertension Registry Investigation in Mie Prefecture (SHRIMP) study has sequentially and prospectively recruited 128 patients with hypertension with an aldosterone-to-renin ratio (ARR) greater than 20, evaluated the differences among essential hypertension (EHT), idiopathic hyperaldosteronism (IHA), and aldosterone-producing adenoma (APA), and analyzed the predictors for the confirmatory tests. The patients underwent saline-loading, captopril-challenge, and upright furosemide-loading tests. Carotid, renovascular, and cardiac echography, brachial ankle pulse wave velocity (baPWV), endothelial function, nocturnal blood pressure decline, and the apnea hypopnea index were evaluated. Multivariate regression analyses showed that the plasma aldosterone concentration (PAC) at screening was a strong predictor of the saline and captopril test results. The plasma renin activity (PRA) at screening, urine β2-microglobulin, and left ventricular mass index (LVMI) were independent predictors for the captopril test. The estimated saline PAC and captopril 60 and 90 min ARRs predicted by the equations were highly correlated with the real values. The ROC curve analysis showed PAC at screening among each of predictors for the diagnostic tests and PAC after the saline-loading test had the highest diagnostic abilities of APA. Patients with IHA were older and had glucose intolerance and increased U-Alb/gCre and resistive indices. In patients with APA, the levels of U-Alb/gCre and urine β2-microglobulin were increased, and levels of insulin and the HOMA-IR were decreased. In conclusion, our proposed equations may be useful for estimating saline PAC and captopril ARR. Diagnostic predictors may differ for each confirmatory test.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41440-018-0126-1DOI Listing

Publication Analysis

Top Keywords

predictors confirmatory
8
confirmatory test
8
primary hyperaldosteronism
8
aldosterone-to-renin ratio
8
shrimp study
8
pac screening
8
captopril test
8
urine β2-microglobulin
8
saline pac
8
pac captopril
8

Similar Publications

Background: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.

Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.

View Article and Find Full Text PDF

This study assessed the prevalence rates, construct validity, predictors, and psychosocial factors linked to ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD), as assessed by the (ITQ) in a German-speaking sample of Swiss older adults. Participants were  = 1526 older adults aged 65+ ( = 72.34;  = 6.

View Article and Find Full Text PDF

Background: In the healthcare sector, the quality of medical services largely depends on the work of medical staff. Improving employee performance can impact the efficiency and productivity of a healthcare entity. Therefore, proper talent management practices are needed to achieve good outcomes.

View Article and Find Full Text PDF

Look above the IRP: predicting abnormal confirmatory testing in patients with esophagogastric junction outflow obstruction.

Therap Adv Gastroenterol

December 2024

Division of Gastroenterology & Hepatology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Perelman Center for Advanced Medicine, 750 South 3400 Civic Center Blvd, Philadelphia, PA 19104, USA.

Background: Esophagogastric junction outflow obstruction (EGJOO) is a manometric diagnosis based on Chicago Classification version 4.0 (CC4.0) that requires confirmatory testing for clinical relevancy.

View Article and Find Full Text PDF

Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study.

JMIR Med Educ

December 2024

Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.

Background: Virtual reality (VR) technologies have demonstrated therapeutic usefulness across a variety of health care settings. However, graduate medical education (GME) trainee perspectives on VR acceptability and usability are limited. The behavioral intentions of GME trainees with regard to VR as an anxiolytic tool have not been characterized through a theoretical framework of technology adoption.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!