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BACKGROUND: Prognostic uncertainty inhibits clinicians from initiating timely end-of-life discussions and advance care planning. This study evaluates the efficacy of the CriSTAL (Criteria for Screening and Triaging to Appropriate aLternative care) checklist in emergency departments. METHODS: Prospective cohort study of patients aged ≥65 years with any diagnosis admitted via emergency departments in ten hospitals in Australia, Denmark and Ireland. Electronic and paper clinical records will be used to extract risk factors such as nursing home residency, physiological deterioration warranting a rapid response call, personal history of active chronic disease, history of hospitalisations or intensive care unit admission in the past year, evidence of proteinuria or ECG abnormalities, and evidence of frailty to be concurrently measured with Fried Score and Clinical Frailty Scale. Patients or their informal caregivers will be contacted by telephone around three months after initial assessment to ascertain survival, self-reported health, post-discharge frailty and health service utilisation since discharge. Logistic regression and bootstrapping techniques and AUROC curves will be used to test the predictive accuracy of CriSTAL for death within 90â¯days of admission and in-hospital death. DISCUSSION: The CriSTAL checklist is an objective and practical tool for use in emergency departments among older patients to determine individual probability of death in the short-term. Its validation in this cohort is expected to reduce clinicians' prognostic uncertainty on the time to patients' death and encourage timely end-of-life conversations to support clinical decisions with older frail patients and their families about their imminent or future care choices.
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Servicio de Urgencia en Hospital , Mortalidad , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Unidades de Cuidados Intensivos , Modelos Logísticos , Masculino , Pronóstico , Estudios Prospectivos , Factores de RiesgoRESUMEN
OBJECTIVE: QRS detection algorithms are needed to analyze electrocardiogram (ECG) recordings generated in telehealth environments. However, the numerous published QRS detectors focus on clean clinical data. Here, a "UNSW" QRS detection algorithm is described that is suitable for clinical ECG and also poorer quality telehealth ECG. METHODS: The UNSW algorithm generates a feature signal containing information about ECG amplitude and derivative, which is filtered according to its frequency content and an adaptive threshold is applied. The algorithm was tested on clinical and telehealth ECG and the QRS detection performance is compared to the Pan-Tompkins (PT) and Gutiérrez-Rivas (GR) algorithm. RESULTS: For the MIT-BIH Arrhythmia database (virtually artifact free, clinical ECG), the overall sensitivity (Se) and positive predictivity (+P) of the UNSW algorithm was >99%, which was comparable to PT and GR. When applied to the MIT-BIH noise stress test database (clinical ECG with added calibrated noise) after artifact masking, all three algorithms had overall Se >99%, and the UNSW algorithm had higher +P (98%, p < 0.05) than PT and GR. For 250 telehealth ECG records (unsupervised recordings; dry metal electrodes), the UNSW algorithm had 98% Se and 95% +P which was superior to PT (+P: p < 0.001) and GR (Se and +P: p < 0.001). CONCLUSION: This is the first study to describe a QRS detection algorithm for telehealth data and evaluate it on clinical and telehealth ECG with superior results to published algorithms. SIGNIFICANCE: The UNSW algorithm could be used to manage increasing telehealth ECG analysis workloads.
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Algoritmos , Electrocardiografía/métodos , Procesamiento de Señales Asistido por Computador , Telemedicina/métodos , HumanosRESUMEN
BACKGROUND: The safety and advantages of CO(2) laser myringotomy for otitis media with effusion (OME) are well described. The goal of such treatment is to avoid unnecessary ventilation tube insertion. Comparisons between different age groups treated with this modality are lacking, and prognostic factors for treatment outcomes are not available. METHODS: We conducted a retrospective cohort study that included 130 children (160 ears) and 96 adults (108 ears) with OME persisting after conservative antibiotic treatment. In eligible patients, we performed laser myringotomy in the affected ear. Follow-up was scheduled every week for 1 month and then every month for 6 months. Results for 233 ears were available for analysis; 24 ears were excluded (19 due to cancer, four due to a cleft palate, and one due to Down syndrome) and 10 patients (11 ears) were lost during follow-up. A logistic regression model was used for analysis, with success of therapy as the binary outcome. RESULTS: Adult patients had more unilateral lesions (p < 0.001) and serous fluid effusions (p < 0.001) than did the pediatric patients. However, there was no significant difference in the cure rate (children: 58.1%; adults: 64.7%) and positive culture rate (children: 15.1%; adults: 14.3%) between patient groups. Three factors were found to be associated with a poor prognosis: multiple occurrences in children (p < 0.001), mucoid effusion (p = 0.04), and a history of ventilation tube use in adults (p < 0.001). No other variables predicted treatment outcome. CONCLUSION: Our findings suggest that CO(2) laser myringotomy is a useful treatment modality for OME in children and adults, except for children with multiple occurrences and in adults with mucoid effusions and a history of ventilation tube use.