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Background Determining heart failure (HF) phenotypes in routine electronic health records (EHR) is challenging. We aimed to develop and validate EHR algorithms for identification of specific HF phenotypes, using Read codes in combination with selected patient characteristics. Methods We used The Healthcare Improvement Network (THIN). The study population included a random sample of individuals with HF diagnostic codes (HF with reduced ejection fraction (HFrEF), HF with preserved ejection fractio
Case submitted and written by Mazen El-Baba MD, with edits from Jesse McLaren and edits/comments by Smith and Grauer A 90-year old with a past medical history of atrial fibrillation, type-2 diabetes, hypertension, dyslipidemia, presented with acute onset chest/epigastric pain, nausea, and vomiting. BP was 110 and oxygen saturation was normal. What is your ECG interpretation and what would you do next?
Change is one of the only constants in our lives, and we can count on it daily. While we might see change as a stressor, can you imagine your life without change? No improved health, no increase in pay, no new home, and no upcoming vacation!
30th October 2022 [How fewer doctors means more doctors – it’s official] This blog has nothing to do with heart disease, or vaccines, or anything directly about medical practice at all. However, it does have a great deal to do with data manipulation, which is something very close to my heart. It also illustrates how a ‘fact’ can be anything but. I am also hoping to help highlight an increasingly worrying trend that now scours the planet.
Speaker: Simran Kaur, Co-founder & CEO at Tattva Health Inc.
AI is transforming clinical trials—accelerating drug discovery, optimizing patient recruitment, and improving data analysis. But its impact goes far beyond research. As AI-driven innovation reshapes the clinical trial process, it’s also influencing broader healthcare trends, from personalized medicine to patient outcomes. Join this new webinar featuring Simran Kaur for an insightful discussion on what all of this means for the future of healthcare!
Introduction The diagnostic and therapeutic arsenal for heart failure with preserved ejection (HFpEF) has expanded. With novel therapies (eg, sodium-glucose co-transporter 2 inhibitors) and firmer recommendations to optimise non-cardiac comorbidities, it is unclear if outpatient HFpEF models can adequately deliver this. We; therefore, evaluated the efficacy of an existing dedicated HFpEF clinic to find innovative ways to design a more comprehensive model tailored to the modern era of HFpEF.
I was reading EKGs on the system and saw this one. What did I put in as my interpretation? Interpretation : "Acute LAD occlusion until proven otherwise. " There is non-diagnostic ST Elevation in V1-V3, with rather large T-waves but in the context of a deep S-wave (high voltage). HOWEVER, lead V4 is diagnostic of OMI. This is massive ST Elevation, huge hyperacute T-wave, and loss of S-wave (which in V4, unlike V2-3, can be normal but should greatly raise suspicion.
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