@amjmed@YaleMed@YaleCardiology Resistant hypertension focuses attention on those already treated with maximum doses; persistent hypertension is broader, those with persistently elevated blood pressure, for a wide range of reasons - and this is the vast majority who languish at high risk. @yuan_lu1@amjmed
@amjmed@YaleMed@YaleCardiology@yuan_lu1 To make progress against hypertension we need to focus intently on those with persistent hypertension; high bp readings over time, without progress. There are so many reasons; and many are social in nature. And this burden falls hard on Black patients in particular.
@amjmed@YaleMed@YaleCardiology@yuan_lu1 There are many causes of persistent hypertension; they represent targets for our strategies to help our patients lower risk. The Figure shows issues, barriers, & potential actions. Hypertension control is not just about writing prescriptions. amjmed.com/article/S0002-…@DrTomFrieden
@amjmed@YaleMed@YaleCardiology@yuan_lu1@DrTomFrieden "a broader concept of persistent hypertension can encompass a wider range of underlying causes and more fully address the large number of patients who are not reaching their goals.” We suggest a need to make persistent hypertension a focus for learning health systems. @YNHH
@amjmed@YaleMed@YaleCardiology@yuan_lu1@DrTomFrieden@YNHH "The designation of persistent hypertensions highlights need to engage these patients and address underlying causes, matching interventions to underlying causes of persistence.” Many of the causes are social, and so we need to defeat hypertension by recognizing these barriers.
@amjmed@YaleMed@YaleCardiology@yuan_lu1@DrTomFrieden@YNHH Finally, such a learning health system approach can be supported by digital strategies to identify people falling through the cracks, & multi-disciplinary strategies to address these barriers. This is precision medicine that goes beyond life sciences to include social science.
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We published today a study on acute hypertension hospitalization trends, led by @yuan_lu1 and news is not good. Over last 20 yrs rates markedly increased even though this can be prevented w/simple & inexpensive strategies. ahajournals.org/doi/10.1161/CI…@YaleMed@YaleCardiology@CircAHA
@yuan_lu1@YaleMed@YaleCardiology@CircAHA And disappointingly but not surprisingly, the highest rates of acute hypertension hospitalizations were among Black patients, who also experienced the steepest increase over last 20 years. The hypertension crisis is also a health equity crisis. @AHAScience
@yuan_lu1@YaleMed@YaleCardiology@CircAHA@AHAScience The increase in acute hypertension hospitalizations occurred in all subgroups. Makes sense since hypertension control is worse over time; hypertension deaths are rising. This must be recognized as a national crisis. @JeromeAdamsMD saw this as Surgeon General. This work is so imp.
@VirusesImmunity@washingtonpost@YaleMed The dream is to bring together life science, data science, clinical epidemiology, & digital technologies/software to solve previously intractable conditions that cause much suffering. And to do so in true partnership w/those facing the condition, being worthy of trust every day.
@VirusesImmunity@washingtonpost@YaleMed We will enlist learning community, participating together, sharing wisdom, & being co-producers of research, in traditional & non-traditional ways- setting new standard for quality & speed & utility of the knowledge generated. Researchers working for & on behalf of the community.
This @NEJM paper really puzzled me and I wonder what I am missing. It addresses good question…should people on antidepressants in primary care, who are doing well, discontinue them? And good methods, randomized, double-blind trial treated in the UK. But… nejm.org/doi/full/10.10…
@NEJM They randomize 478 people w/at least 2 depressive episodes and w/ at least 2 years of treatment with antidepressant agents. They discontinue in half (after a taper) and replace with placebo. Primary outcome is relapse of depressive symptoms. OK, good so far. But...
@NEJM At a year, relapse occurred in 39% of those continuing antidepressants and 56% in the discontinuation group. Now that means that 44% of those who discontinued did fine. That seems really good - and a chance many would take. And that continuing still had a horrific relapse rate.
Our paper dropped: Performance Metrics for Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning. We show 'commonly reported metrics may not have sufficient sensitivity to identify improvement of #ML models…’ @CircOutcomesahajournals.org/doi/abs/10.116…
"The @PCORI Board’s approval of $61.3 million will enable eight PCORnet CRNs to optimize their infrastructure resources and capacities to support PCORnet in its third phase." What is the total spent on PCORnet to date? What are the deliverables to date? pcori.org/news-release/p…
@PCORI And asking w/respect, just think the accounting of resources spent & deliverables provided is good hygiene for funders. And what resources from the effort are publicly available for others to leverage? Since this is such a big investment, regular reports on ROI is useful. @PCORI
@PCORI And this might be available, I just didn’t know where to look. By the way, similarly with @NIH, who previously reported that almost half of their funded trials were never published. Quarterly reports on trial funding and deliverables (results reported), for example, also great.
With much talk about wearables & devices picking up unappreciated atrial fibrillation, I was intrigued by this randomized trial of effect of an implantable loop recorder to detect afib on outcomes. These slides are from #ESCCongress presentation. Kudos Jesper Svendsen and team.
The team identified participants with a high risk of stroke and randomized them to an implantable loop recorder (Reveal LINQ by Medtronic), with a primary outcome of stroke or systemic embolism. Question: would better detection of afib improve outcomes?
They randomized 1:3 - so most people were in the control group. 1501 randomized to the implantable recorder (and 1420 received it, that will be important later) and 4503 in the control group (and none crossed over and received the recorder). They followed them for median 65 mos.