Rationale: Normal mean pulmonary arterial pressure (mPAP) is 14.0 ± 3.3 mm Hg (mean ± SD). The prognostic relevance of mildly elevated mPAP not fulfilling the definition of pulmonary hypertension (PH; mPAP ≥ 25 mm Hg) has not been prospectively evaluated in a real-world setting.
Objectives: To assess the association of resting mPAP with all-cause mortality in a retrospective and a prospective cohort of patients with unexplained dyspnea and/or at risk of PH.
Methods: Prognostic cutoffs were calculated by means of 1) classification and regression tree (CART) analysis without any preset thresholds, and 2) preset thresholds on the basis of literature data defining mPAP as lower-normal (≤mean + 1 SD), upper-normal (between mean + 1 SD and mean + 2 SD), borderline (between mean + 2 SD and 25 mm Hg), and manifest PH (≥25 mm Hg). We performed univariate and multivariate survival analysis adjusted for age and comorbidities.
Measurements And Main Results: We enrolled 547 patients, of whom 137, 56, 64, and 290 presented with lower-normal, upper-normal, or borderline mPAP, and manifest PH, respectively. The CART analysis on mPAP discriminated three prognostic groups: mPAP less than 17 mm Hg, 17 to 26 mm Hg, and greater than 26 mm Hg, with significantly decreasing survival. The univariate analysis on the basis of preset thresholds showed that upper-normal mPAP, borderline mPAP, and manifest PH were significantly associated with poor survival compared with lower-normal mPAP. In the multivariate model, considering age and comorbidities, only borderline mPAP (hazard ratio, 2.37; 95% confidence interval, 1.14-4.97; P = 0.022) and manifest PH (hazard ratio, 5.05; 95% confidence interval, 2.79-9.12; P < 0.001) were significantly associated with poor survival.
Conclusions: In patients at risk for PH and/or with unexplained dyspnea, CART analysis detects prognostic thresholds at a resting mPAP of 17 mm Hg and 26 mm Hg, and values between 20 mm Hg and 25 mm Hg represent an independent predictor of poor survival. Clinical trial registered with www.clinicaltrials.gov (NCT 01607502).
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http://dx.doi.org/10.1164/rccm.201706-1215OC | DOI Listing |
J Endod
January 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Cariology and Endodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China. Electronic address:
Introduction: Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper removal may result in iatrogenic root perforation or even root fracture. Recently, robotic technology has attracted considerable attention in dentistry and active dental robotic (ADR) systems can perform procedures based on preset instructions, minimizing reliance on the dentist's experience. This case report describes the application of an ADR system for fiber post removal through an existing zirconia crown.
View Article and Find Full Text PDFBMJ Open
December 2024
Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
Introduction: Cortisol is an essential stress hormone and failure of its production, known as adrenal insufficiency (AI), is associated with significant mortality due to adrenal crisis. The Short Synacthen Test (SST) is the current diagnostic test of choice for AI, but it is both invasive and resource intensive. Globally, there is an unmet need for a non-invasive, cost-effective test.
View Article and Find Full Text PDFJ Clin Epidemiol
December 2024
University Grenoble Alpes, Inserm, CHU Grenoble Alpes, CIC 1406, Grenoble 38000, France; University Grenoble Alpes, Inserm, HP2, U1300, Grenoble 38000, France; Pôle de Santé Publique, GMRC, Hôpitaux Universitaires de Strasbourg, Strasbourg, France. Electronic address:
Objectives: To describe the priors and decision thresholds in phase 2 and 3 randomized controlled trials (RCTs) evaluating drug efficacy using Bayesian methods.
Study Design And Setting: A systematic review of phase 2 and 3 RCTs evaluating drug efficacy through Bayesian inference was conducted across the MEDLINE, EMBASE, and Cochrane databases, with no date restrictions until September 2022. The type of prior used for the analysis of the primary endpoint and its characteristics (type and parameters of the distribution, justification, and sensitivity analysis), the use of a posterior probability decision threshold defined a priori, and its value, were extracted.
Health Qual Life Outcomes
December 2024
Department of Urology, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.
Background: Electronic patient-reported outcomes (ePROs) have been shown to enhance healthcare quality by improving patient symptom management or quality of life (QoL). However, ePROs data for urothelial cancer (UC) patients receiving systemic therapies are scarce, and the application of ePROs in this patient cohort may need specific setups. This study tested the feasibility of ePROs for UC patients receiving systemic therapies in the outpatient clinic of a tertiary care center.
View Article and Find Full Text PDFTrials
December 2024
School of Public Health, University of Michigan, 1420 Washington Heights, Ann Arbor, MI, USA.
Current guidelines tend to focus on a p-value threshold of a pre-specified primary endpoint tested in randomized controlled clinical trials to determine a treatment effect for a specific drug. However, a p-value does not always provide evidence on the treatment effect of a drug, especially when stratification of the data does not account for unforeseen variables introduced into the analysis. We report and discuss a rare case in which investigational site stratification in the pre-specified analysis method of a primary endpoint results in a loss of statistical power in the evaluation of the treatment effect due to data attrition of almost 17% of outcome data in the phase III randomized, controlled PANAMO study in critically ill COVID-19 patients.
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