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1.
Braz. oral res. (Online) ; 31: e37, 2017. tab, graf
Article in English | LILACS | ID: biblio-839503

ABSTRACT

Abstract The characteristics of non-obese patients with mild to moderate Obstructive Sleep Apnea Syndrome (OSAS) who will present with a good response to Mandibular Repositioning Appliance (MRA) treatment have not yet been well established in the literature. The aim of this study is to assess whether polysomnographic (PSG), demographic, anthropometric, cephalometric, and otorhinolaryngological parameters predict MRA success in the treatment of OSAS. Forty (40) males with mild and moderate OSAS were assessed pretreatment and 2-months post-treatment after wearing an MRA. Demographic, anthropometric, otorhinolaryngological (ENT), cephalometric, and polysomnographic parameters, including continuous positive airway pressure (CPAP) titrated pressure, dental models, Epworth Sleepiness Scale, quality of life (Short Form SF-36), and mood state (Profile of Mood States – POMS), were assessed. The responders exhibited fewer oropharyngeal alterations, increased upper pharyngeal space, reduced lower airway space, and increased mandibular intercanine width, and they had milder disease. Nevertheless, no predictive factors of MRA success could be found. MRA was more successful among men with a more pervious airway, a larger interdental width and milder OSAS. However, a combined [1] functional and structural assessment is needed to successfully predict the [2] effectiveness of MRA treatment of OSA.


Subject(s)
Humans , Male , Adult , Middle Aged , Aged , Mandibular Advancement/instrumentation , Mandibular Advancement/methods , Sleep Apnea, Obstructive/therapy , Anatomic Landmarks , Body Mass Index , Cephalometry , Continuous Positive Airway Pressure/methods , Linear Models , Orthodontic Appliances , Pharynx , Polysomnography , Prospective Studies , Quality of Life , Reference Values , Reproducibility of Results , Risk Factors , Statistics, Nonparametric , Surveys and Questionnaires , Treatment Outcome
2.
Braz. j. infect. dis ; 20(5): 437-443, Sept.-Oct. 2016. tab
Article in English | LILACS | ID: biblio-828144

ABSTRACT

Abstract Ventilator-associated pneumonia is the most prevalent nosocomial infection in intensive care units and is associated with high mortality rates (14–70%). Aim This study evaluated factors influencing mortality of patients with Ventilator-associated pneumonia (VAP), including bacterial resistance, prescription errors, and de-escalation of antibiotic therapy. Methods This retrospective study included 120 cases of Ventilator-associated pneumonia admitted to the adult adult intensive care unit of the Federal University of Uberlândia. The chi-square test was used to compare qualitative variables. Student's t-test was used for quantitative variables and multiple logistic regression analysis to identify independent predictors of mortality. Findings De-escalation of antibiotic therapy and resistant bacteria did not influence mortality. Mortality was 4 times and 3 times higher, respectively, in patients who received an inappropriate antibiotic loading dose and in patients whose antibiotic dose was not adjusted for renal function. Multiple logistic regression analysis revealed the incorrect adjustment for renal function was the only independent factor associated with increased mortality. Conclusion Prescription errors influenced mortality of patients with Ventilator-associated pneumonia, underscoring the challenge of proper Ventilator-associated pneumonia treatment, which requires continuous reevaluation to ensure that clinical response to therapy meets expectations.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Drug Prescriptions , Drug Resistance, Multiple, Bacterial , Pneumonia, Ventilator-Associated/etiology , Pneumonia, Ventilator-Associated/mortality , Medication Errors/adverse effects , Anti-Bacterial Agents/therapeutic use , Brazil , Chi-Square Distribution , Logistic Models , Medical Records , Retrospective Studies , Risk Factors , Hospital Mortality , Dose-Response Relationship, Drug , Pneumonia, Ventilator-Associated/drug therapy , Intensive Care Units
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