TB or not TB? Development and validation of a clinical decision support system to inform airborne isolation requirements in the evaluation of suspected tuberculosis.

Background: The study objective was to develop and validate a clinical decision support system (CDSS) to guide clinicians through the diagnostic evaluation of hospitalized individuals with suspected pulmonary tuberculosis (TB) in low-prevalence settings.

Methods: The "TBorNotTB" CDSS was developed using a modified Delphi method. The CDSS assigns points based on epidemiologic risk factors, TB history, symptoms, chest imaging, and sputum/bronchoscopy results.

Modern Open Surgery for Coral Reef Aorta with Visceral Artery Involvement.

Objective: Coral reef atherosclerosis of the visceral aorta (CRA) is associated with renovascular hypertension (RVH), chronic mesenteric ischaemia (CMI), and malperfusion of the lower limbs. The outcomes of open surgery for this rare disease are described in this paper.

Methods: This retrospective study included all patients who underwent open surgical repair of CRA at a single high volume referral centre between January 2009 and June 2023.

Identification of population multimorbidity patterns in 3.9 million patients from Bogota in 2018.

Background: Multimorbidity has emerged as a challenge for health systems due to its association with adverse clinical outcomes. Given the limited information available on multimorbidity, particularly in low- and middle-income countries, this study characterizes multimorbidity patterns in the population of Bogotá, Colombia in 2018.

Methods: In a cross-sectional study, we analyzed 16 million medical consultation records from Bogotá reported in the National Service Delivery Records in 2018.

Quantum-Like Approaches Unveil the Intrinsic Limits of Predictability in Compartmental Models.

Obtaining accurate forecasts for the evolution of epidemic outbreaks from deterministic compartmental models represents a major theoretical challenge. Recently, it has been shown that these models typically exhibit trajectory degeneracy, as different sets of epidemiological parameters yield comparable predictions at early stages of the outbreak but disparate future epidemic scenarios. In this study, we use the Doi-Peliti approach and extend the classical deterministic compartmental models to a quantum-like formalism to explore whether the uncertainty of epidemic forecasts is also shaped by the stochastic nature of epidemic processes.