Browsing by Author "Cruz, Rodrigo"
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Item Compromiso multisistémico en apnea obstructiva del sueño(Sociedad Médica de Santiago, 2014) Labarca, Gonzalo; Cruz, Rodrigo; Descalzi, FernandoObstructive Sleep Apnea (OSA) is characterized by repetitive upper airway collapse with apnea/hypopnea and recurrent hypoxia during sleep, which results in fragmented sleep and intermittent drops in arterial blood oxygen saturation (hypoxemia). Several dysfunctions of neurocognitive, endocrine, cardiovascular, and metabolic systems are recognized in patients with OSA. The most commonly reported associations are with obesity, increased cardiovascular risk, dyslipidemia, diabetes mellitus 2 and liver damage. However, there is a proven relationship between OSA and other diseases, such as polycystic ovary syndrome, gastroesophageal reflux, and chronic kidney disease. The aim of this review is to analyze clinical and experimental evidence linking OSA with other diseases.Publication Performance of the VITEK® MS system for the identification of filamentous fungi in a microbiological laboratory in Chile(2024) Porte, Lorena; Cruz, Rodrigo; Pérez, Inia; Varela, Carmen; Díaz, Cristina; García, Patricia; Legarraga, Paulette; Valdivieso, Francisca; Weitzel, ThomasFilamentous fungi are an emergent cause of severe infections in immunocompromised patients. Timely and accurate identification is crucial to initiate appropriate therapy. Traditional identification methods are time-consuming, labor-intensive, and operator-dependent. Matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometry is a rapid and easy-to-perform identification method. The effectiveness of a commercial MALDI-TOF MS platform to identify filamentous fungi in a clinical laboratory was evaluated. The study included 67 fungal isolates from 35 species/species complexes, which were identified and confirmed in mycology reference laboratories; 32 derived from clinical samples, 34 from strain collections and one was an ATCC strain. The study used the VITEK® MS system (v3.2.0 database), after sample extraction by VITEK® MS Mould Kit. Results were classified as "correct species", "correct species complex", "correct genus"and "no identification". VITEK® MS correctly identified 91.0% of isolates (58.2% to species, 29.9% to species complex, and 1.5% to genus level only). In 82%, the result matched the species/species complex identified by reference methods. No misidentifications were observed. The kit was rapid and easy to use. In conclusion, the VITEK® MS system showed a high capability to accurately identify filamentous fungi in a clinical laboratory.