12 | Conclusion: What Changes Will Hypertension Treatment Undergo by 2050?

Hello, welcome back to the "Hypertension Medical Course." I'm Jessica.

Before this lecture, we talked about the present of hypertension medicine. In the final lecture of the course, I want to take you to look at the future of hypertension medicine. Let's see what we can change and achieve in the face of hypertension in the future, and what is unimaginable for humans. When it comes to the future, I know you immediately think—with the development of medicine, will humans completely conquer hypertension? Will hypertension disappear completely? In fact, such questions are too distant, even like science fiction, and discussing them is not very meaningful. What we need to do is to stand on the current level of human understanding of hypertension and see what changes will occur in hypertension medicine in the next two to three decades. In 1913, essential hypertension was formally defined for the first time. In the more than 100 years since then, medical scientists have done everything possible to measure, diagnose, find the causes and treatment methods, and connect it with cardiovascular and cerebrovascular diseases, describing its development process like a sandbox simulation. From my current perspective, I believe that in the field of hypertension, by 2050, three important transformations are very likely. These transformations will truly affect each of us.

Hypertension, Early Prediction, Personalized Treatment, Big Data, Continuous Monitoring, Metabolic Comorbidities

Transformation 1: Early Prediction

For a long time, early detection of hypertension has been a major problem. Most hypertension has no symptoms, and by the time it is checked in the hospital, it is found that the hypertension is irreversible. In the future, can hypertension be detected early? Reviewing the history of hypertension diagnosis, we find that the biggest progress in the last decade is the replacement of mercury sphygmomanometers with electronic sphygmomanometers. Now, almost all guidelines discuss blood pressure thresholds based on electronic sphygmomanometers. The reason is simple: whether it is objective error or subjective error during use, electronic sphygmomanometers are far smaller than mercury sphygmomanometers. In other words, electronic sphygmomanometers measure more accurately. Not only that, the emergence of various new types of sphygmomanometers has also made large-scale clinical application of 24-hour blood pressure monitoring possible. In this way, the doctor's understanding of our blood pressure has expanded from a point in the clinic to a line in our lives. Therefore, it has also changed the diagnostic criteria for hypertension to a certain extent, from a single-point diagnosis in the past to a diagnosis based on the 24-hour average blood pressure. In recent years, more and more sphygmomanometers have been developed and put into use. Technologies such as tactile sensing, vascular unloading technology, pulse transit time, photoplethysmography, ultrasonic blood pressure measurement, and image processing blood pressure measurement, these measurement technologies range from monitoring radial artery blood pressure to perceiving heartbeats, from wristwatches to mattresses, from implantable to wearable, you can find everything. Therefore, in the foreseeable future, our understanding of a person's blood pressure will be expanded in both length and width. Length, of course, refers to time. From a single accidental blood pressure measurement in the past to 24-hour continuous monitoring, and then to 7 days, 1 month, 1 year, and even from birth to the end of life, a person's entire blood pressure situation will be completely recorded and known by the doctor. Width refers to what we monitor will not only be blood pressure, but also indicators that are as important as blood pressure but were previously unobservable, such as vascular stiffness and blood flow shear stress. Once we have this data, we can combine it with the current hot big data technology to obtain a complete data model for hypertension. Throughout the entire life course, the changes in blood pressure increase will be very clear. Correspondingly, based on the big data model and your genes and lifestyle, perhaps we can predict your future blood pressure trend when you are in your twenties, and even accurately calculate the specific time when your hypertension will occur. With this, not only can hypertension be detected at the first time, but your lifestyle can also be corrected in time according to the prediction results, thereby preventing the occurrence of hypertension.

Transformation 2: Personalized Treatment

At present, the treatment plan for hypertension is basically the same. Tens of thousands or even hundreds of thousands of patients may receive the exact same drug prescription and lifestyle prescription. But we know that everyone's body and disease conditions are different. The same hypertension prescription may be particularly effective for one person, but completely ineffective for another. This is also the embarrassment facing medicine today. In the next thirty years, can we achieve precise treatment for everyone's hypertension and maximize the treatment effect? The answer is yes. But the method of realization is not science fiction gene editing, but the big data just mentioned. Many people may ask: Isn't gene technology very popular in the past two years? There have been continuous breakthroughs, why is it not worth looking forward to? Indeed. In the past 20 years, some breakthroughs have been made in the genomics of drug metabolism. In the next 30 years, it is entirely possible to choose the most suitable drug for you based on your genetic situation. But that's all. As for the gene editing that many people expect, just think about it. Why? There are two main reasons: First, hypertension does not have a clear definition. As mentioned earlier, the diagnostic threshold for hypertension is artificially defined and is constantly changing. It is essentially more like a non-steady state than a clear disease. Therefore, it is difficult for precise genomics to match such a broad and loose definition. This is like using a precise ruler to measure a misty landscape painting, it is difficult to measure accurately. Second, hypertension is caused by a variety of factors, and these factors have cross-effects on each other. Genes affect blood pressure through many links, such as transcription, translation, modification, and methylation in the environment. Each link will add N influencing factors. To fully understand these, not only genomics is needed, but also RNAomics, proteomics, metabolomics, etc. These breakthroughs require a lot of time and money. And the big data technology route is much simpler to implement. We know that the occurrence and progression of hypertension are closely related to lifestyle. Therefore, to provide precise and personalized treatment plans for everyone, two aspects of data are naturally needed—one is long-term monitoring data of our blood pressure; the other is our lifestyle data. The long-term monitoring data of blood pressure has just been mentioned. More and more advanced blood pressure detection technologies and equipment can do this task well. And how does the lifestyle data come from? Various smart devices. For example, the salt you eat can be accurately obtained by collecting the sodium ion concentration in your urine through a smart toilet; for example, your exercise situation, we already have various wearable devices such as pedometers, bracelets, and heart rate belts; for another example, your tension level can be formed through data from electrocardiogram, electroencephalogram, and respiration. If these two types of data can be monitored in a wide range of people for decades, then by 2050, we will be able to form a relatively accurate model system of the impact of lifestyle on blood pressure, and clarify the proportion of each lifestyle that affects our blood pressure. Naturally, based on your lifestyle and blood pressure, you can also be provided with a personalized treatment plan. In the future, this model will meticulously adjust your life. For example, if you have salt-sensitive hypertension and your urine sodium ion exceeds the standard for many consecutive days after entering the pre-hypertension stage, when you go to the supermarket to buy high-salt food, a warning will pop up on the payment page of your mobile phone, hoping that you will reduce high-sodium food. Even your life information will be synchronized with the insurance company. If you insist on buying, your premium may increase.

Transformation 3: Changes in Treatment Philosophy

Finally, the third transformation should be in the treatment philosophy. You may not think about the changes in treatment philosophy, but in my opinion, this transformation may affect all aspects of hypertension diagnosis, prevention, and treatment. In the past, we have always regarded hypertension as a disease. When blood pressure is high, we lower blood pressure, and when complications occur, we treat the complications. However, research in the last decade has increasingly shown us a picture—hypertension is very likely not an isolated disease, but one of a group of metabolic diseases. In addition to hypertension, this group of metabolic disorders also includes hyperglycemia, hyperlipidemia, and hyperuricemia. They are all indicators of human metabolism and can all lead to complications such as stroke, myocardial infarction, renal failure, and heart failure. At the same time, this group of metabolic diseases also affect each other. The occurrence of any one of them will greatly increase the probability of other metabolic disorders. If we adjust our lifestyle from the root and treat a certain metabolic disorder, it will also greatly reduce the incidence of other metabolic disorders. So you see, this group of metabolic diseases is more like one disease. They have many common causes, produce the same pathological reactions in the body, and even have common molecular mechanisms, so they will lead to common diseases. In the future, if we can figure out the whole picture of this group of metabolic disorders, clarify their interrelationships, key nodes of action, and pathogenic mechanisms one by one, our treatment philosophy for them will undergo a fundamental change—we may no longer lower blood pressure when blood pressure rises, lower blood lipids when blood lipids rise, and lower blood sugar when blood sugar rises. Instead, we will treat them as a large class of comorbidities, dredge them at the common source, and intercept them on the common key pathways. Therefore, in addition to this "Hypertension Medical Course," I will also bring you "Hyperlipidemia Medical Course" and "Hyperglycemia Medical Course" to help you understand the pathogenesis of this type of comorbidity and the methods to combat them.

Key Points

In the next two to three decades, hypertension treatment is likely to see three transformations: 1. Early prediction. Based on big data models and a person's genes and lifestyle, predict their future blood pressure, and even accurately calculate the time of their hypertension. 2. Personalized treatment. Based on big data technology, from a one-size-fits-all prescription to precise and personalized treatment. 3. Change in philosophy. No longer regard hypertension as an isolated disease, but regard hypertension, hyperlipidemia, hyperglycemia, etc. as a large class of comorbidities, dredging at the common source and intercepting on the common key pathways.

Comments

Popular posts from this blog

06 - Effectiveness Evaluation: Which Dietary Plan Will Dominate?

04 - Energy Deficit: Is Eating Less Always Better for Weight Loss?

01 - All Three Goals Are Essential