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Transcatheter aortic valve replacement (TAVR) is a viable treatment option for managing aortic prosthetic valve dysfunction. Although the transfemoral approach is the most commonly used and preferred treatment strategy for TAVR, complex vascular access, such as aortic aneurysm, severe tortuosity, and shaggy aorta, is challenging.
An 87-year-old man, who underwent surgical aortic valve replacement for aortic stenosis using a 21-mm Carpentier-Edwards Perimount Valve, presented with New York Heart Association functional Class III dyspnoea. He was diagnosed as having severe symptomatic structural valve deterioration of a bioprosthetic aortic valve. Computed tomography revealed a tortuous and shaggy descending aorta with a saccular aneurysm in the aortic arch. Simultaneous transfemoral valve-in-valve TAVR and Zone 2 thoracic endovascular aortic repair (TEVAR) with debranching were successfully performed using a 22-Fr 65-cm sheath. Although the patient developed paraplegia due to transient spinal cord ischaemia associated with TEVAR, he fully recovered with vasopressor therapy.
To the best of our knowledge, this is the first report on simultaneous successful 'valve-in-valve' TAVR and debranching TEVAR using the transfemoral approach. This case demonstrated the feasibility of single-stage transfemoral TAVR and TEVAR in a high-risk patient with multicomponent disease.
To the best of our knowledge, this is the first report on simultaneous successful 'valve-in-valve' TAVR and debranching TEVAR using the transfemoral approach. This case demonstrated the feasibility of single-stage transfemoral TAVR and TEVAR in a high-risk patient with multicomponent disease.
The aim was to explore the impact of patient-physician interactions, pre- and post-diagnosis, on lupus and UCTD patients' psychological well-being, cognition and health-care-seeking behaviour.
Participants were purposively sampled from the 233 responses to a survey on patient experiences of medical support. Twenty-one semi-structured interviews were conducted and themes generated using thematic analysis.
The study identified six principal themes (i) the impact of the diagnostic journey; (ii) the influence of key physician(s) on patient trust and security, with most participants reporting at least one positive medical relationship; (iii) disparities in patient-physician priorities, with patients desiring more support with quality-of-life concerns; (iv) persisting insecurity and distrust, which was prevalent and largely influenced by previous and anticipated disproportionate (often perceived as dismissive) physician responses to symptoms and experiences of widespread inadequate physician knowledge of systshould be addressed. Key physicians implementing empowering and security-inducing strategies, including being available in times of health crises and validating patient-reported symptoms, might lead to more trusting medical relationships and positive health-care-seeking behaviour.
The main purpose of this work is to describe the sociodemographic and clinical characteristics of intensive care unit (ICU) patients in a second-level hospital in Madrid, Spain, focusing in those who underwent surgical tracheostomy during the coronavirus disease 2019 (COVID-19) pandemic. The surgical technique and associated complications are also detailed.
Observational and historical cohort.
Single center.
Eighty-three intubated COVID-19 patients were analyzed. Thirty bedside surgical tracheostomies had been performed following our safety protocol.
Data from 83 patients admitted to the ICU in Infanta Leonor University Hospital were collected; 74.7% were male. The average age was 59.7 years. The main comorbidities found were hypertension in 51.8%, diabetes mellitus in 25.3%, asthma in 7.2%, and chronic obstructive pulmonary disease in 3.6%. A surgical tracheostomy was carried out in 36.1% of patients who needed a prolonged intubation. The most frequent complication of the surgical procedure, bleeding, occurred in 30%, but the majority were mild and ceased with compression only. The most relevant complication was local infection, which occurred in 26.7% of patients. There were statistically significant differences in the time from the beginning of mechanical ventilation until weaning between tracheostomized and nontracheostomized patients. The mortality rate of patients who underwent tracheostomy was 56.7%. see more Despite severe acute respiratory syndrome coronavirus 2 being highly contagious and tracheostomy being considered a high-risk procedure, our rate of infected ear, nose, and throat specialists was only 11.8%.
In our experience, bedside surgical tracheostomy is a safe procedure in COVID-19 patients when safety protocols are followed.
In our experience, bedside surgical tracheostomy is a safe procedure in COVID-19 patients when safety protocols are followed.
Urinary tract infection (UTI) is a leading cause of hospital admissions and is diagnosed based on urinary symptoms and microbiological cultures. Due to lags in the availability of culture results of up to 72 h, and the limitations of routine diagnostics, many patients with suspected UTI are started on antibiotic treatment unnecessarily. Predictive models based on routinely collected clinical information may help clinicians to rule out a diagnosis of bacterial UTI in low-risk patients shortly after hospital admission, providing additional evidence to guide antibiotic treatment decisions.
Using electronic hospital records from Queen Elizabeth Hospital Birmingham (QEHB) collected between 2011 and 2017, we aim to develop a series of models that estimate the probability of bacterial UTI at presentation in the emergency department (ED) among individuals with suspected UTI syndromes. Predictions will be made during ED attendance and at different time points after hospital admission to assess whether predictive performance may be improved over time as more information becomes available about patient status. All models will be externally validated for expected future performance using QEHB data from 2018/2019.
Risk prediction models using electronic health records offer a new approach to improve antibiotic prescribing decisions, integrating clinical and demographic data with test results to stratify patients according to their probability of bacterial infection. Used in conjunction with expert opinion, they may help clinicians to identify patients that benefit the most from early antibiotic cessation.
Risk prediction models using electronic health records offer a new approach to improve antibiotic prescribing decisions, integrating clinical and demographic data with test results to stratify patients according to their probability of bacterial infection. Used in conjunction with expert opinion, they may help clinicians to identify patients that benefit the most from early antibiotic cessation.
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