Malignant Hypertension: The patients would arrive in the ER delirious or in coma with outrageous blood pressure readings. They would have retinal hemorrhages and other vascular eye signs. Kidney function would be compromised. A "stroke" was eminent if it hadn’t happened already. It was a medical emergency, and at the time, the drug of choice was parenteral Reserpine, which did the job. The easiest transition was to oral Reserpine, but the problem was that some fraction of the patients developed a profound melancholic depression [one of the phenomena that lead to the "catecholamine hypothesis" of depression]. So we used the other available drugs of the time – all with plenty of side effects as part of the package.
Hypertensive Cardiovascular Disease: These patients were more common. They showed up in the clinics and ER with congestive heart failure of varying intensity: swollen legs, enlarged livers, shortness of breath, sleeping sitting up – with enlarged hearts and Left Ventricular Hypertrophy on EKG [big muscular hearts]. The symptoms cleared with lowering the blood pressure, but they usually got digitalis and diuretics as well.
Hypertension: Back then, Hypertension [asymptomatic] was defined as a Diastolic Blood Pressure consistently over 100 mmHg. And there was plenty enough of that around to treat where I was.
New York Times4 heart attacks are not prevented. When 2,000 People Take a Daily Aspirin for Two Years: 1 Heart Attack is Prevented. People at risk for a first heart attack are often recommended to take aspirin daily to prevent it. Only a very few will actually see this benefit and there’s no way to know in advance who.By Austin Frakt and Aaron E. CarrollJAN. 26, 2015
In his State of the Union address last week, President Obama encouraged the development of “precision medicine,” which would tailor treatments based on individuals’ genetics or physiology. This is an effort to improve medical care’s effectiveness, which might cause some to wonder: Don’t we already have effective drugs and treatments? In truth, medical care is often far less effective than most believe. Just because you took some medicine for an illness and became well again, it doesn’t necessarily mean that the treatment provided the cure.
This fundamental lesson is conveyed by a metric known as the number needed to treat, or N.N.T. Developed in the 1980s, the N.N.T. tells us how many people must be treated for one person to derive benefit. An N.N.T. of one would mean every person treated improves and every person not treated fails to, which is how we tend to think most therapies work. What may surprise you is that N.N.T.s are often much higher than one. Double- and even triple-digit N.N.T.s are common.
Consider aspirin for heart attack prevention. Based upon both modifiable risk factors like cholesterol level and smoking, and factors that are beyond one’s control, like family history and age, it is possible to calculate the chance that a person will have a first heart attack in the next 10 years. The American Heart Association recommends that people who have more than a 10 percent chance take a daily aspirin to avoid that heart attack.
How effective is aspirin for that aim? According to clinical trials, if about 2,000 people follow these guidelines over a two-year period, one additional first heart attack will be prevented. That doesn’t mean the 1,999 other people have heart attacks. The fact is, on average about 3.6 of them would have a first heart attack regardless of whether they took the aspirin. Even more important, 1,995.4 people would never have a heart attack whether or not they took aspirin. Only one person is actually affected by aspirin. If he takes it, the number of people who remain heart attack-free rises to 1996.4. If he doesn’t, the number remains 1995.4. But for 1,999 of the 2,000 people, aspirin doesn’t make any difference at all.
Of course, nobody knows if they’re the lucky one for whom aspirin is helpful. So, if aspirin is cheap and doesn’t cause much harm, it might be worth taking, even if the chances of benefit are small. But this already reflects a trade-off we rarely consider rationally. [And many treatments do cause harm. There is a complementary metric known as the number needed to harm, or N.N.H., which says that if that number of people are treated, one additional person will have a specific negative outcome. For some treatments, N.N.T. can be higher than the number needed to harm, indicating more people are harmed than successfully treated.]Not all N.N.T.s are as high as aspirin’s for heart attacks, but many are higher than you might think. A website developed by David Newman, a director of clinical research at Icahn School of Medicine at Mount Sinai hospital, and Dr. Graham Walker, an assistant clinical professor at the University of California, San Francisco, has become a clearinghouse of N.N.T. data, amassed from clinical trials…
The article is about the simplest of all statistics. If there’s a Clinical Trial where 40% respond to placebo and 50% respond to the drug, then the NNT = 1 ÷ (0.50 – 0.40) = 10. That literally means "you have to treat 10 cases to get 1 responder." Actually, 5 would respond, but only 1 would be because of the treatment. The other 4 were going to respond anyway. What could be simpler? And what could be more telling? The NNT is one of a family of measures of the Strength of the Effect of a treatment [see an anatomy of a deceit 3…].