A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach.

Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH.

Beneficial Effects on Exercise Capacity Associated with a Combination of Lactoferrin, Lysozyme, Lactobacillus, Resveratrol, Vitamins, and Oligoelements in Patients with Post-COVID-19 Syndrome: A Single-Center Retrospective Study.

: Although long-term COVID-19 symptoms are common, little is known about the management of post-COVID-19 condition. The aim of the current report is to evaluate the effects of a combination of lactoferrin, lysozyme, lactobacillus, resveratrol, vitamins, and oligoelements (PIRV-F20) on the exercise capacity of post-COVID-19 patients. : A retrospective analysis of consecutive patients referred to a specific outpatient clinic dedicated to post-COVID-19 condition from April 2022 to April 2023 was conducted.

Correction to: Human heart shifts from IGF-1 production to utilization with chronic heart failure.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.