What does cause heart disease?

(Part one of an occasional series)

So what does cause heart disease then, if it is not cholesterol?  This is question I am often asked – with varying degrees of accusation – by other doctors. Usually after I’ve given a talk dismissing raised cholesterol as a risk factor.

The simplest answer is that the most important causal factor of cardiovascular disease aka the development of plaques (thickenings) in the arteries, is stress (sorry about that rather clumsy form of words). However, as with many simple answers, explaining how stress causes ‘heart disease’ is a bit more complicated.

Which means, gentle reader, that we must go back to the beginning of the whole story, and weave a number of interconnected strands together.

The first strand here is to explain what ‘stress’ may be. I must admit that this is not easy, because few people have an agreed definition of stress. Many concepts are bandied about, and everyone has their own ideas on the subject, but most of them are rather too vague to be of any real use.

I define stress as a measureable dysfunction in the Hypothalamic-Pituitary-Adrenal axis (HPA-axis). But that may be jumping ahead rather too fast, and it requires many steps to get to this point. The first step is to attempt to break stress down into its component parts.

To do this, we have to start by accepting that stress has two basic components. There is the Stressor – the thing causing stress, and the Stressee – the individual affected by the stressor. Without making this important distinction, we will constantly mix up two concepts that need to be kept separate.

For example, many people talk about having a stressful day. I would immediately ask. Does this mean you were impacted on by lots of different stressors e.g. a traffic jam, a tight work deadline, your children getting ill. Or that you found yourself unable to cope with stressors that you would normally be able to cope with. Or both. [To be truthful I would rarely ask this, as I don’t want people shuffling away from me at the dinner table. But I might think it].

By looking at stress as having a cause, or causes, (the stressor), and then looking at their impact upon an individual (the stressee) we can start to disentangle the things that cause stress, from their actual impact.

In addition to this important distinction, there is also a need to accept that different stressors can create positive or negative effects, depending on how the person reacts to them.  Without getting too tangled in this issue, I will attempt put these first ideas into their simplest possible form

Stress has four distinct components:

  • Stressor – positive
  • Stressor – negative
  • Stressee reaction – positive
  • Stressee reaction –negative

Positive stressors could be:

  • Exercise
  • Winning the lottery
  • Giving a well-accepted speech
  • Watching your children perform on stage

Negative stressors could be:

  • Using cocaine
  • A close relative dying
  • Severe criticism at work/being bullied
  • Getting hit by a bus
  • Watching your army comrades being blown to bits by an IUD

Some negative stressors are very short acting and, as such, the human psyche and physiology can cope and restore homeostasis (unless the trauma is gigantic). The problems start to arise when negative stressors act hour after hour, day after day, week after week. For example, being repeatedly physically or sexually abused as a child. Or being bullied day after day at work.

Problems created by a constant battering of negative stressors are also made significantly worse if your coping mechanisms are poor. Being bullied at work is not so bad if you have a good social life, a supportive partner, and a loving family. It also helps significantly if you are physically, fit and free from significant chronic disease.

If, however, you have no friends, no supportive family, and you have a chronic illness that weakens you, it does not take too much else to tip your system over the edge.

Unfortunately, early life trauma, and abuse, can leave people with very poor coping mechanisms. In addition, people who have suffered repeated negative stressors through their childhood often find themselves in a cycle of repeating negative behaviour. They are also likely to have poor coping skills, and difficulty with interpersonal relationships.

Effectively, therefore, the same ‘stressor’ can have very different effects on people, depending on their resilience. This resilience can be both psychologically and physically determined, and is hugely important. A ‘strong’ person can cope with stressors that might seriously damage a ‘weak’ person.

Some people say that stress can be simplified into the flight or fight response being constantly activated and eventually ‘burning’ out. Whilst it is true that a constantly stimulated flight or fight response is key to understanding the physiological damage that ‘stress’ causes, it is not the only factor in play.

A lack of social support is not the same thing as the flight or fight response. However, it can create significant problems with production of stress hormones. Depression is not the flight of fight response going wrong. Not having human contact, or touch, can damage your hormonal and autonomic/unconscious nervous systems just as much as being bullied.

In short, stress is not just determined by external factors, such as perceived – or real – threat. A vastly important aspect of stress lies within the individual, their responses to life events, and their resilience. As social animals, loneliness is just as damaging, if not more so, than someone threating to fire you.

In my world, therefore, being depressed is a form of ‘stress’, and it causes exactly the same type of physiological damage as, say, post-traumatic  stress disorder. This is why you cannot look at an event in someone’s life e.g.  losing their job, or getting divorced, or suffering a car crash and loss of a limb, and score this from one to ten on how stressful this is.

  • Loss of job =2
  • Moving house = 3
  • Getting divorced = 4

For some people losing a job may be a blessed relief. For other a terrible humiliating shame. Others may just shrug their shoulders and move on.

For some of us, an apparently trivial event can be devastating e.g. a passing comment on our appearance.  Others will just laugh it off. Some years ago I was told by a doctor that stress couldn’t be a cause of heart disease because he had seen a well-off lady living in rose covered cottage in the country who had just had a heart attack.

I just replied ‘How do you know she wasn’t stressed?’ The externally idyllic existence may, in reality, be a battleground. Perhaps her smiling, smart, well-off, magistrate husband got home and beat the living daylights out of her every weekend. If so, it wouldn’t be the first time – and most certainly would not be the last.

In short, there is no point in guessing if someone is stressed. Often, there is no point asking them either. Most of us play complex internal games with regard to stress. Where it is considered a badge of honour to be ‘stressed’ and working incredibly hard – people will tell you how stressed they are. – even if they are not. Equally, if you have had a terrible upbringing, you may be so desensitised to stress that you cannot even recognise that you are suffering.

At this point I should probably attempt to bring together what makes up the concept of ‘stress’

Stress consists of stressors, and the stressee. Stressors can be positive, or negative. They can be psychological, or physical.

The same stressor can have a completely different impact on the stressee depending on their resilience.

Resilience can be damaged by such factors as:

  • Abuse in childhood
  • Long-term illness
  • A lock of supportive relationships, friends, family, church

Resilience will be improved by

  • A loving upbringing
  • Good health
  • Supportive relationships
  • Good interpersonal skills

There is no point in guessing is someone is suffering the physiological consequences of stress. Equally, there is no point in asking someone if they are stressed – they may well not know. The only way to know if someone is actually suffering from the consequences of repeated negative stressors is to measure their biochemistry and physiology.

Part two: How to measure if a person is ‘stressed’.

A simple Question – that opens a can of worms

A day or so ago I received this e-mail from a doctor in London.

Dear Dr Kendrick,

I work as a GP in Wandsworth London and I read that you don’t
believe that much in cholesterol and CHD.

I do agree up to 50% of MI patients have normal cholesterol
but some say what’s normal for UK is actually high. Is this argument valid?

Best wishes

Define ‘normal.’ Does normal mean average? If we took the average height of everyone in the UK we would find (very nearly) that 50% of those dying of CHD (coronary heart disease) were above average height and 50% below. So average is clearly normal, but then again so is being tall, or short.

However, if we decided that average height of everyone living in the UK was above ‘normal’, and we then lowered the definition of ‘normal height’ by three inches, we would find that the vast majority of people dying of CHD were now above average height. At which point we could decree that being taller than normal was a risk factor for CHD.

This would obviously be a completely bonkers thing to do. Yet, you can do it with cholesterol levels and everyone nods in general agreement.

Aha, but the argument goes that our lives are completely different than the lives of our ancestors, which has caused our cholesterol levels to be unnaturally high.

An article in the Journal of the American College of Cardiology best summed up this line of thinking. Under the heading ‘Why average is not normal’, O’Keefe, the lead author, made the claim that: ‘Atherosclerosis is endemic in our population, in part because the average LDL (“bad” cholesterol) level is approximately twice the normal physiologic level.’ In short, according to O’Keefe, our cholesterol level should be about 2.5mmol/l, not 5.2mmol/l.

He based his argument, in part on looking at the cholesterol levels of various animals e.g. elephants, and boars, and suchlike. He also used the argument that very young babies (neonates) have cholesterol level of about 2.5mmol/l. Now, in my opinion, anyone proposing this argument should have their medication increased. We should base our cholesterol levels on those found in other animals species….yes, of course we should. You mean those animal species with an average life expectancy of ten years, for example.

However, this argument is now pretty widely accepted by the medical community. We are all, everyone, living in the West, living in such an ‘unhealthy’ way that our cholesterol levels are unnaturally high. The true normal cholesterol levels is 2.5mmol/l.

Fine, if we re-set normal at 2.5mmol/l we will find that 99% of people dying of heart disease do have a ‘high ‘cholesterol level. Problem sorted, average is no longer normal, and the hypothesis that a high cholesterol level is a risk factor for heart disease is now true.

Hold on, I’ve got an idea…

How medicine now works – or doesn’t.

It may surprise some of you that read this blog that, amongst other things, I still work as a doctor in the jolly old NHS. Yes, one can be a critic and still remain inside the system….although for how long, who knows. In fact, in some ways I am quite establishment, as I sit on the main BMA negotiation committee for GPs, the General Practitioners Committee (GPC). I am also on the Local medial committee (LMC) and local negotiation committee (LNC).

From within the NHS you can more clearly see how the world of medicine is gradually going completely bonkers.

In one of my jobs I do Out of Hours (OOH) General Practice work. That is working in the evenings and weekends. In East Cheshire, where I work, we had a system which was highly rated by patients and everyone who came into contact with it. However, in line with the rest of the country we were told we were now to be incorporated into the Government’s latest and currently stupidest idea, called NHS111. The 111 bit being the single telephone number for people to call for urgent – not 999 care.

NHS111 call handlers get about six weeks training, and are supposed to act as front line troops to direct patients to the correct urgent service. Before this we had nurse triage, with experience nurses dealing with local residents and their health issue. We now have non-medically trained staff given superficial advice on how to go through a treatment algorithm. First question:  ‘Are you alive or dead?’ Not quite, but nearly.

At the end of asking ten thousand questions, or so, the call handler reaches the end of the algorithm where it states ‘You must see a GP.’ Actually, not quite true.  If there is anything actually wrong,  then the call handler tells them to phone an ambulance immediately [Yes, ambulance calls under NHS11 have risen stratospherically]. In my opinion, these people are not doing triage, they are just appointment Clerks.

As we repeatedly warned the Government NHS111 rapidly went wrong.  In East Cheshire and many other areas, NHS111 immediately collapsed the moment it went live, and we had to take back all the call handling. Why, primarily because the private providers running the service had so badly underestimated demand that the system went into melt-down, and patients were left waiting for hours to be called back. (Oh the joys of competitive tendering. In order to get the contract you have to bid so low that you cannot actually provide the service).

Anyway, we still get some calls coming through from NHS111 (A system now running in parallel – at double cost – with the old system).  With the old system we used to get the key facts e.g. a rash, non-blanching, child floppy, temp 39oC, mother worried. Now we get the following (this is an actual transcript of a very, very  simple case, with any patient identifiable data taken out – by me).

  • Symptoms: Cough
  • Case Summary
  • Disposition: The individual needs to contact the GP practice or other local service within 6 hours. If the practice is not open within this period they need to contact the out of hours service. Dx06
  • Selected care service: OOH – GP OOH Service (xxxx Base)
  • Pathways Assessment: Birth had not occurred within the last hour. An injury or health problem was the reason for the contact. The individual was breathing and conscious at the time of the assessment. Heavy bleeding had not occurred in the previous 30 minutes.
  • An illness or health problem was the main problem.
  • The individual was not fighting for breath.
  • A probable allergic reaction, a fit within the previous 12 hours or successful resuscitation were not the main reason for the assessment.
  • The child was not limp, floppy and/or unresponsive.
  • The skin on the torso felt normal, warm or hot.
  • Pathway selected – Cough
  • The individual had not coughed or vomited blood.
  • There was normal breathing between bouts of coughing.
  • Severe illness and a rash suggestive of septicaemia were not described.
  • There was no difficulty rousing.
  • There had been no episode of choking within the previous 24 hours.
  • There had been no inhalation of a hot or poisonous substance in the previous 24 hours.
  • There was no fever at the time of assessment or within the previous 12 hours.
  • There had been no previous diagnosis of heart disease, asthma or other lung disease.
  • There was not a problem for which medical advice must always be sought.
  • There were no severe coughing bouts with whooping, a red or blue face or vomiting after coughing.
  • The cough for had persisted for less than 3 weeks.
  • Instructions given were: The individual needs to be seen
  • by the GP practice or other local service within 6 hours.
  • If the practice is not open within this period they need to be seen by the out of hours service.
  • Directory of Services referral: OOH – GP OOH Service (xxxxxxx Base)
  • Advice given: Worsening
  • Advice given: If the condition gets worse, changes or if you have any other concerns, call us back.

As you can see, if you bothered to read it, 99% of this is just meaningless guff, stating irrelevant negative findings. But it does take a considerable amount of time to read. Some of it just made me despair. For example, the report states that: ‘An injury or health problem was the reason for the contact.’ Well really, how completely amazing. Someone calls a health line and they may have an injury or health problem.  Who’d a thunk?

This is followed later by…’ An illness or health problem was the main problem.’ Well at least they had narrowed it down from an injury or health problem to an illness or health problem. [So it now seems that illnesses are not health problem?]

What did I actually need to know? I needed to know that a child had a cough that was getting worse. Whilst it is possible to establish this from reading the report (just)  other key information was conspicuous by its absence. Past history of asthma, for instance (which this child had) or other respiratory problems? Any medications?  That type of thing.

As with most new initiatives in the health service I am now getting swamped with information – but the vast majority of it is completely and utterly useless, and just gets in the way of finding out what I want to know.

This, by the way, was a very small part of the report that the GP (in hours), will receive. They will get about ten more pages of other extraneous guff that they have to wade through. At some point my consultation (the only bit they are interested in) will appear so they will know what I found and what I did – and if they need to do anything. This will not be at the front of the report, no, it will be stuck in the middle, surrounded by information about when the call came in, how long it took to respond, what pathways were used etc. etc. etc. thud.

This, ladies and gentlemen, is the type of nightmare bureaucrat driven nonsense that is turning healthcare in the UK from something local, flexible, and responsive to patient needs, into a flabby form filling, algorithm following, arse-covering exercise. Millions of hours spent producing lengthy reports that have no value; they simply get in the way of providing useful information and de-skill, demotivate and de-professionalise everyone involved.

I imagine the UK is not alone in this. Somehow or another we need to fight back.

How Risky Is A Risk?

 

[I was contemplating risk the other day, when someone forwarded me an article I wrote a couple of years ago on risk. I think it is still highly relevant to what is happening today with the mangling of medical statistics]

I have only just recovered from the idea that everyone in the whole world over the age of fifty-five should spend the rest of their lives on six different medications, all stuck together in one great big pill. The following was headline from a study in the BMJ.

‘Polypill—A Statin plus 3 Blood Pressure Drugs plus Folic Acid plus Aspirin. Authors claim Polypill would reduce risk of dying from coronary heart disease by 80%. The authors of the polypill article in the BMJ made the claim that taking their polypill would reduce the risk of dying of coronary heart disease (CHD) by 80%.’

You may have seen the non-story about the, yet to be marketed polypill, peddled in the British Medical Journal (BMJ). I was stimulated to look again at the concept of risk.

Whether or not you believe their figures—and I don’t—I sense that this figure of 80% would be taken by most people to mean that eighty out of one hundred people would be saved from death if they took this magic tablet. But this figure, if true, could only possibly be a relative risk reduction. And a relative risk reduction means almost nothing, by itself.

However, because everyone’s eyes glaze over whenever you start talking about statistics, most researchers manage to get away with using relative risk reduction figures when, in reality, they should be shot for doing so. Now, here’s a challenge. The challenge to make a short article about statistics interesting. Okay, that’s not possible. But maybe a little bit interesting?

You must know the time period, and the absolute risk, for the relative risk to have any meaning

When you talk about a risk, you need to know the absolute risk of a thing happening. For example, the risk of getting struck by lightning. I don’t actually know what this risk is, but I would imagine it is about one in five million. But again, that figure means little unless you put a time scale on it. Is this a one in five million risk over a hundred years, or one year, or a day? If you don’t put a time scale in, you can claim pretty much anything you like.

For example an astronomer could attempt to shock you by stating that ‘The Earth will be hit by a big Asteroid. This is one hundred per-cent certain.’ – stunning announcement from A.N. Astronomer. Read all about it.  And of course, this is true. The Earth will be hit by a big Asteroid, sometime in the next three billion years or so. The odds ratio for this event is 1 = 100% certain. I am even willing to take a bet on it. What you probably want to know is however, is, what is the likelihood of this happening in my lifetime. Sorry, no idea.

Anyway, I hope this makes it clear that you must define risk in two ways, the possibility of the nasty thing happening, and the time period during which it is likely that the thing will happen. With lightening strikes, I would guess this is about a one in five million risk, over a five year period. Not high.

However, whilst the time factor is important, people don’t just bend statistics by ignoring the time factor. What also happens is that people inflate the risk by using relative instead of absolute risks.

For example, the chances of dying of lung cancer, for a non-smoker, are about 0.1% (lifetime risk). If, however, you live with a heavy smoker, your chances will increase to about 0.15%. (These figures are for illustration only, and are not completely accurate).

Now, you can report this in two ways. You can state that passive smoking can increase the risk of lung cancer by 0.05% – one in two thousand. Or, you can state that passive smoking increases the risk of lung cancer by fifty per cent (0.15% vs 0.1%). Both figures are correct. One is increase in absolute risk, the second the increase in relative risk.

If you are an anti-smoking zealot, then I would imagine you would prefer to highlight the second figure. The relative risk figure. And when it comes to reducing cardiovascular risk, exactly the same procedure is used (in reverse).

Let’s say that the chance of dying of CHD over the next five years, in a healthy fifty-five year-old, is 1%. By reducing this risk to 0.2%, you can claim to have reduced the relative risk of dying of CHD by 80%. The absolute risk reduction is 0.8%. Mangling statistics is easy when you know how. It’s even fun.

Anyway, now you know the difference between a relative risk and an absolute risk, and I hope this makes it easier for you to hack your way through the misinformation that spews forth from the great medical research machine.

By the way, I believe the Polypill will achieve a 0.00% absolute and relative risk reduction. But we shall see.

 

 

The Untainted Mind

 

A few weeks ago, a sixth year student at Westminster School sent me an essay she had written on cholesterol, and why it does not cause CHD. She wants to go to medical school. No one made her do any of this. She just looked at the evidence and made her mind up.  She wrote me this e-mail

Dear Dr Kendrick,

I am a final year student at Westminster School who intends to study medicine. I am extremely interested in your research and reading your book enthused my and led me to spend a large portion of my time researching studies which you and other authors on the same topic have referenced.  The Chief Medical officer came to speak to us today and after her talk I quizzed her about what I have read in your book as well as a large wealth of research I have done myself. (Attached, if you care to look, is a copy of an essay I wrote which won the top prize in school essay competition based on this research). She was extremely defensive of the cholesterol causes heart disease hypothesis and claimed that NICE had on a population level declared this to be the case. She said that the evidence did not add up on a small study level, but when studies were put together (I assume by NICE) that the conclusion is in favour of cholesterol causing CHD.

I would love to know your thoughts on this and where I can find this population based evidence.

Kind regards,

Francesca Greenstreet

I wrote back to her, to say that there was no population based evidence. Or, if there was, it very clearly demonstrated no link between cholesterol levels and heart disease. The Chief Medical Officer was just blustering – as most people do when confronted with someone who dares to question medical dogma.

I thought her essay was extremely well written and makes all the points that I have been making for years. It is just gratifying to see that the evidence on cholesterol and heart disease is clear to anyone with a brain.


In Defence of Cholesterol

The  American government, the British government and the NHS, three venerable bodies respected as sources of dietary advice, currently recommend a diet low in saturated fat and cholesterol.[1] The predominant  reason this advice is given is the accepted belief held within the scientific community that high serum cholesterol levels are linked causally with the accumulation and build up of atheromas which lead to atherosclerosis and Coronary Heart Disease (CHD).

The commonly accepted and taught theory which links cholesterol to heart disease, the Lipid Hypothesis, states that cholesterol is carried from the liver to the rest of the body’s cells in Low Density Lipoproteins (LDLs) and carried back from the rest of the body’s cells to the liver in High Density Lipoproteins (HDLs). After being transported back to the liver by HDLs, Cholesterol is broken down by the liver or passes out of the body as a waste product. The Lipid Hypothesis states that eating saturated fat raises LDL levels. The cholesterol from LDLs forms fatty deposits, atheromas, which build up beneath the endothelium of the arteries. The build up of atheromas narrows the arteries and pieces of the atheromas can break off and become lodged in narrower arteries .Clots can form in the narrowed arteries which prevent blood flow and can starve organs of oxygen and nutrients. When clots or blockages form in the coronary arteries, necrosis occurs. This leaves part of the heart muscle not contracting and relaxing and can lead to a myocardial infarction.[2]

Figure 1: Sudan-stained aorta of a rabbit fed 61 egg yolks over a 70-day period, showing lesions in red.

Figure 1: Sudan-stained aorta of a rabbit fed 61 egg yolks over a 70-day period, showing lesions in red.

The Lipid Hypothesis was brought to attention following a series of studies, the first of which was carried out by Anitschkow, a Russian scientist, in 1913. Anitschkow fed rabbits a diet of purified cholesterol dissolved in sunflower oil and examined the cells and the arteries of the rabbits after killing them. [3] Rabbits which were fed the purified cholesterol were found to have vascular lesions which bore a close resemblance to atheromas found in humans (Figure 1). Following Anitschkow’s study, Dr John Gofman led a team to similar findings and hypothesized that serum cholesterol was the cause of the lesions developing.[4] The similarity of the lesions to those found in humans suffering from CHD was catalytic in the formation of theories that a high cholesterol diet might be linked to CHD in humans.

The ideas behind the Lipid Hypothesis were formalised by Ancel Keys when, in a study in 1953, he used data from six countries to show a direct link between the percentage calories from fat in the average diet and the number of CHD deaths per 1000.[5] Furthermore, he found the incidence of CHD deaths in those six countries was best predicted by the intake of saturated fat.[6]

However, not all scientists and physicians are in agreement with the Lipid Hypothesis. Regarding Anitschkow’s rabbit study, it has been pointed out that cholesterol does not form part of the natural diet of a rabbit and thus it is possible that the rabbits had an allergic reaction to the high cholesterol diet, or that they were otherwise incapable of processing the chemical. It is significant to note that similar experiments carried out on dogs and rats showed that a rise in blood cholesterol did not lead to a rise in atherosclerosis.[7] This is potentially due to the fact that dogs and rats, unlike rabbits, consume cholesterol as part of their natural diet. The lack of cholesterol in a rabbit’s natural diet, combined with the failure to replicate the findings in dogs or rats, whose natural diets are much more similar to our own, is a significant flaw in the reasoning behind Anitschkow and Gofman’s conclusion: that a high cholesterol diet is linked to atherosclerosis in humans.

Figure 2: Keys’ (1953) selection to show relationship of fat intake to heart disease deaths of 55–59 yr. old men in 1951–53 (open circles left)and the 15 other available countries (closed circles). The relation of heart diseases to animal protein intake is on the right (Mann, 1993). (Adapted from WHO Ann. Epid. and Vital Statistics).

Figure 2: Keys’ (1953) selection to show relationship of fat intake to heart disease deaths of 55–59 yr. old men in 1951–53 (open circles left)and the 15 other available countries (closed circles). The relation of heart diseases to animal protein intake is on the right (Mann, 1993). (Adapted from WHO Ann. Epid. and Vital Statistics).

Another flaw in the Lipid Hypothesis is that Ancel Keys selected with purpose the countries for which he presented data in his study in 1953, rather than choosing them at random. “Yerushalmy and Hilleboe (1957) observed that Keys would have had available data from 22 countries, which would have given a much weaker correlation “(Figure 2).[8]

Figure 2 shows a very weak correlation between deaths per 1000 (from CHD) and percentage of calories from fat when all 22 countries are plotted on the same graph. It is interesting to note that the correlation between deaths per 1000 (from CHD) and percentage of calories from animal protein has a similar and even slightly stronger  correlation than between deaths per 1000 (from CHD) and percentage of calories from fat.  All of this data would have been available to Keys, so his focus on the link between percentage of calories from fat and the number of deaths per 1000 (from CHD) is curious.

The data sample presented by Keys gives a correlation of coefficient of +0.84, a strong positive correlation, whereas “in the simulation study by Wood (1981) on the consumption statistics of 21 countries a total of 116280 different samples of six countries were found, and the correlation between consumption of animal fat and CHD mortality varied from -0.9 to +0.9, the average being    -0.04.”[9] Such a difference in correlation coefficients between similar studies indicates some bias in Keys’ selection of the six countries or insufficient data, since Wood’s study uses many more countries and therefore is more likely to be accurate. As it is obvious that Keys had sufficient access to data from the 22 countries, it seems that his selection was biased.

There have also been many studies which investigate serum cholesterol level in relation to atherosclerosis and CHD in Humans rather than in animals. A notable example is the study led by Paterson  entitled: “Serum Cholesterol Levels in Human Atherosclerosis”. 800 patients who were permenantly confined to hospitals and 100 war veterans who were in hospital for dimiciliary care were given 2500-3000 calories a day in their daily diet, of which 25 to 35% was derived from fat. Serum cholesterol was determined annually or semi-annually and when any patients died, the severity of atherosclerosis was determined using six differnet criteria: crude morphological grading, measurement of the thickness of the largest plaque, determinations of the total lipid content, lipid concentration, total calcium content and calcium concentration. Figure 3 shows a graph showing the abscence of a correlation between Serum Cholesterol in mg.% and Total Lipid in Mg. This shows that for the criterium of total lipid content, there is no correlation in the age group of 60-69 years.

Figure 3: Total coronary artery lipid and serum cholesterol levels in patients 60-69 years. The open circles represent cases without complications of coronary atherosclerosis; the closed circles, cases with complications.

Figure 3: Total coronary artery lipid and serum cholesterol levels in patients 60-69 years. The open circles represent cases without complications of coronary atherosclerosis; the closed circles, cases with complications.

Similar findings were observed in the other age groups with a significant number of participants (70-79 and 80-89). The study concludes: “In the 58 cases in the age group 60-69 years, significant relationships between the serum cholesterol and the severity of the disease were found only once in 40 statistical analyses, and the complications of atherosclerosis were just as frequent in cases with low serum cholesterol levels (150-199 mg. %) as in cases with moderately high ones (250-299 mg. %).”[10]Considering the emphasis from the government and the NHS to reduce cholesterol and saturated fat intake because cholesterol causes heart attacks, this seems to be a remarkably weak correlation.

The Paterson study was not alone in its findings: Sigurd Nitter-Hauge and Ivar Enge published a study in The British Heart Journal in 1973 which reported: “No significant correlation was found when total coronary arterial score was correlated to serum cholesterol values or to triglycerides.”[11]

Not only is there strong evidence to show that serum cholesterol levels have no link to atherosclerosis, but there is also strong evidence to suggest that high cholesterol consumption does not raise blood cholesterol levels. The Framingham Heart Study, which set out to prove that eating more cholesterol in your diet increases your blood cholesterol levels, in fact showed that there was minimal difference in the blood cholesterol levels of the subjects despite subjects consuming cholesterol in widely varying amounts. [12] Scientists working on the Framingham Heart Study also studied the intake of saturated fats but eventually concluded: “There is, in short, no suggestion of any relation between diet and the subsequent development of CHD in the study group.”[13] It is difficult to stress the importance of this finding enough: there was no connection found whatsoever between diet and the development of CHD.

Further evidence that eating a diet high in saturated fat does not lead to CHD was published in The American Journal of Clinical Nutrition in 1981. The study compared the diets of two populations of Polynesians living on atolls near the equator. It also assesses the effect the diets have on the serum cholesterol levels in the populations. One of the populations, the Tokelauans, obtained a very high percentage of energy from coconut (high in saturated fat) compared to the Pukapukans, 63% compared with 34%. The Tokelauans had serum cholesterol levels 35-40mg higher than the Pukapukans. However , “vascular disease is uncommon in both populations and there is no evidence of the high saturated fat intake having a harmful effect in these populations.”[14]

Taking all these studies into account, it would appear that not only does having a high serum cholesterol level not have any connection to CHD, but that a diet high in cholesterol does not lead to high blood cholesterol levels and that a diet high in saturated fat does not have any link to CHD.

One final argument used to support the Lipid Hypothesis is the apparent effectiveness of statins in treating CHD. If, so the argument goes, statins reduce levels of serum cholesterol and they also reduce the risk of CHD, then reducing serum cholesterol levels must be the reason for the lower incidence of CHD. However, this reasoning contains two fallacies: firstly it assumes that statins have been shown to reduce the risk of CHD, and secondly it assumes that lowering serum cholesterol levels is the only effect of statins that could lower the incidence of CHD.

Both of these assumptions are false. A study was carried out by the University of British Columbia, part of the not-for-profit Cochrane collaboration, which concluded: “If cardiovascular serious adverse effects are viewd in isolation, 71 primary prevention patients have to be treated with a statin for 3 to 5 years to prevent one myocardial infarction or stroke.”[15] Small mortality benefits from statins have been shown for high-risk middle aged men.[16], [17] However, these trends are not seen in women and the elderly.15, 16 Even an advertisement for LIPITOR (atorvastatin calcium), one of the best-selling statins in America, has a disclaimer which includes: “LIPTOR has not been shown to prevent heart disease or heart attacks.”[18]

For the small minority of people who are protected  by statins, there is another explanation. Statins have been repeatedly shown to act as “potent anti-inflammatory” agents in patients with cardio vascular disease[19]. The reason for their effects in reducing incidence of CHD could be due to those effects rather than the reduction of serum cholesterol levels. This means that it is innappropriate to use the limited protection against CHD by statins as evidence for high serum cholesterol levels being a cause of CHD.

Gathering together the arguments made in this essay, we can conclude that it is very likely that there is absolutely no causal correlation between high cholesterol, either in the serum or in the diet, and CHD. Nor is there any causal correlation between a diet high in saturated fat and CHD. The emphasis placed on the Lipid Hypothesis by the government and other organisations concerned with public health is potentially due to the inital panic after the publication of Keys’ and Anitschkow’s studies. The feeling of urgency to act in order to prevent ever increasing numbers of deaths from CHD led to premature acceptance of the Lipid Hypothesis without sufficient evidence. The long term effect of this view has been the demonisation of diets high in saturated fat and cholesterol without sufficient justification from otherwise reputable organisations for the past thirty years.

Word count : 2431 words

(excluding title, name, biliograph and references)

Bibliography

“Trick and Treat” (Barry Grroves,2008)

“The Great Cholesterol Con” (Dr Malcolm Kendrick, 2007)

“The Cholesterol Myths” (Uffe Ravnskov, M.D., Ph.D., 2000)

“Seven Countries: A Multivariate Analysis of Death and Coronary Heart Disease” (Ancel Keys, 1980, Introduction, p. 1-17)

KIM CRAMER, SVEN PAULIN, LARS WORKÖ, 1966. Coronary Angiographic Findings in Correlation with Age, Body Weight, Blood Pressure, Serum Lipids, and Smoking Habits. Circulation; 33:888-900

U. RAVNSKOV, 2002. Is Atherosclerosis caused by high cholesterol?. Q J Med; 95:397-403

Prevention of Coronary Heart Disease. British Medical Journal , 21 September 1968; No. 5620, p.689

Sigurd Nitter-Hauge, Ivar Enge, 1973.  Relation between blood lipid levels and angiographically evaluated obstructions in coronary arteries British Heart Journal. 35, 791-795.

J. R. CROUSE, J. F. TOOLE, W. M. MCKINNEY, M. B. DIGNAN, G. HOWARD, F. R. KAHL, M. R. MCMAHN, G. H. HARPOLD, 1987. Risk factors for extracranial carotid atherosclerosis. Stroke; 18:990-996

Mukesh K. Jain, Paul M. Ridker, 2005. Anti-Inflammatory Effects of Statins: Clinical Evidence and Basic Mechanisms, Nature Reviews Drug Discovery 4. 977-987

Ian A. Prior, M.D., F.R.C.P., F.R.A.C.P., Flora Davidson, B.H.Sc., Clare E. Salmond, M.Sc., and Z. Czochanska, DIP.AG., 1981. Cholesterol, coconuts, and diet on Polynesian atolls: a natural experiment: the Pukapuka and Tokelau Island studies. The American Journal of Clinical Nutrition 34, p. 1552-1561.

Kannel WB, Gordon T., 1970.The Framingham Diet Study: diet and the regulations of serum cholesterol (Sect 24). Washington DC, Dept of Health, Education and Welfare.

J.C. PATERSON, M.D., LUCY DYER, M.Sc. and E.C. ARMSTRONG, M.D., London, Ont., 1960. Serum Cholesterol Levels in Human Atherosclerosis. Canad. M. A. J., 1960, vol. 82

Scandinavian Simvastatin Survival Study Group, 1994. Randomised trial of cholesterol lowering in 4444 patients with CHD: the Scandinavian Simvastatin Survival Study (4S). Lancet; 344: 1383-1389

Kalle Maijala, 2000. Cow milk and human development and well-being. Livestock Production Science 65 1–18

Daniel Steinberg, 2004. Review series: The Pathogenesis of Atherosclerosis. An interpretive history of the cholesterol controversy: part I, The Journal of Lipid Research, 45, 1583-1593.

GOFMAN, J.W.;LINDGREN, F.; ELLIOT, H.; MANTZ, W.; HEWITT, J.; STRISOWER,B.; HERRING, V.; LYON, T.P., 1950.The role of lipids and lipoproteins in atherosclerosis,  American Association for the Advancement of Science  Vol. 111pp. 166-171; 186

National Service Framework for Coronary Heart Disease – Modern Standards and Service Models, March 2000.

http://www.nhs.uk/conditions/cholesterol/pages/introduction.aspx

http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0001224/

http://www.health.gov/dietaryguidelines/dga2000/document/choose.htm

Figure 1: Daniel Steinberg, 2004. Review series: The Pathogenesis of Atherosclerosis. An interpretive history of the cholesterol controversy: part I, The Journal of Lipid Research, 45, 1583-1593.

Figure 2: Kalle Maijala, Cow milk and human development and well-being, Livestock Production Science 65 (2000) 1–18

Figure 3: J.C. PATERSON, M.D., LUCY DYER, M.Sc. and E.C. ARMSTRONG, M.D., London, Ont., 1960. Serum Cholesterol Levels in Human Atherosclerosis. Canad. M. A. J., 1960, vol. 82


 

[1] http://www.health.gov/dietaryguidelines/dga2000/document/choose.htm

[2] http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0001224/

[3] Daniel Steinberg, 2004. Review series: The Pathogenesis of Atherosclerosis. An interpretive history of the cholesterol controversy: part I, The Journal of Lipid Research, 45, 1583-1593.

[4] GOFMAN, J.W.;LINDGREN, F.; ELLIOT, H.; MANTZ, W.; HEWITT, J.; STRISOWER,B.; HERRING, V.; LYON, T.P., 1950.The role of lipids and lipoproteins in atherosclerosis,  American Association for the Advancement of Science  Vol. 111pp. 166-171; 186

[5] “Trick and Treat” (Barry Groves, 2008, p.61-62)

[6] “The Cholesterol Myths” (Uffe Ravnskov, M.D., Ph.D., 2000, out of print – available at: http://www.ravnskov.nu/myth4.htm)

[7] “Trick and Treat” (Barry Groves, 2008, p.59)

[8] Kalle Maijala, Cow milk and human development and well-being, Livestock Production Science 65 (2000) 1–18

[9] Kalle Maijala, 2000. Cow milk and human development and well-being. Livestock Production Science 65 1–18

[10] J.C. PATERSON, M.D., LUCY DYER, M.Sc. and E.C. ARMSTRONG, M.D., London, Ont., 1960. Serum Cholesterol Levels in Human Atherosclerosis. Canad. M. A. J., 1960, vol. 82

[11] Sigurd Nitter-Hauge, Ivar Enge, 1973.  Relation between blood lipid levels and angiographically evaluated obstructions in coronary arteries British Heart Journal. 35, 791-795.

[12]“Trick and Treat” (Barry Groves, 2008, p.63)

[13] Kannel WB, Gordon T., 1970.The Framingham Diet Study: diet and the regulations of serum cholesterol (Sect 24). Washington DC, Dept of Health, Education and Welfare.

[14] Ian A. Prior, M.D., F.R.C.P., F.R.A.C.P., Flora Davidson, B.H.Sc., Clare E. Salmond, M.Sc., and Z. Czochanska, DIP.AG., 1981. Cholesterol, coconuts, and diet on Polynesian atolls: a natural experiment: the Pukapuka and Tokelau Island studies. The American Journal of Clinical Nutrition 34, pp. 1552-1561.

[15] “The Great Cholesterol Con” (Dr Malcolm Kendrick, 2007, p.164-165)

[16] “Trick and Treat (Barry Groves, 2008, p.52)

[17] Scandinavian Simvastatin Survival Study Group, 1994. Randomised trial of cholesterol lowering in 4444 patients with CHD: the Scandinavian Simvastatin Survival Study (4S). Lancet; 344: 1383-1389

[18] http://www.westonaprice.org/cardiovascular-disease/dangers-of-statin-drugs

[19] Mukesh K. Jain, Paul M. Ridker, 2005. Anti-Inflammatory Effects of Statins: Clinical Evidence and Basic Mechanisms, Nature Reviews Drug Discovery 4. 977-987

Potassium, your invisible friend

I recognise that I spent a lot of time telling people what does not cause heart disease, and what does not protect against heart disease. My sister told me… ‘well, what advice would you give people, then?’ I usually shrug my shoulders and reply ‘there is no shortage of advice around, I don’t think I need to add to the daily bombardment.

However, I shall break the habit of a lifetime and, with slight trepidation, announce that I strongly believe that Potassium is good for you.  If you consume more of it you will, most likely, live both longer and in better health.

How much should you consume? A couple of extra grams a day should do the trick. Having said this, I do recognise that most people will not have the faintest idea how much potassium they consume and, frankly, neither do I. But you are probably not consuming enough, and your kidneys will easily get rid of any excess.

For those who are not keen on bananas, spinach and broccoli, and other foods high in potassium, you could take it as a tablet. Potassium bicarbonate or potassium citrate appears to be the best formulation. Depending on which brand you decide to buy, it should cost about £15 – 20/year.

Why this sudden potassiumophilia? Well, there is a growing body of research which points to the fact that potassium is very good for you. The first time I became aware that it might be good for you was when I first looked at the Scottish Heart Health study. The researchers looked at twenty seven different ‘factors’ they thought might cause, or protect against, heart disease – and overall mortality.  The authors noted that:

“[There was] an unexpectedly powerful protective relation of dietary potassium to all-cause mortality,” the study concluded.

The paper showed that:

  • Men consuming an average of 5400 mg of potassium per day vs 1840 mg were 55% less likely to die during 7.6 year study (the highest one-fifth of men vs the lowest one-fifth of men)
  • Men consuming an average of 5400 mg of potassium per day vs 3350 mg were 22% less likely to die during 7.6 year study (the highest one-fifth of men vs the second highest one-fifth of men)
  • Women consuming an average of 4500 mg of potassium per day vs 1560 mg were 59% less likely to die during 7.6 year study (the highest one-fifth of women vs the lowest one-fifth of women)
  • Women consuming an average of 4500 mg of potassium per day vs 2700 mg were 15% less likely to die during 7.6 year study (the highest one-fifth of women vs the second highest one-fifth of women

The study can most easily be found here http://www.ncbi.nlm.nih.gov/pubmed/9314758

I immediately liked this finding. Mainly because it was almost completely unexpected, and unexpected findings are always far more likely to be correct than expected findings. Also, this was a very large effect indeed.  It turned out that increased potassium consumption was very nearly as protective as smoking was damaging.

Of course, this was an observational study, so I filed it under – most interesting – but did nothing much more about it. As the authors said themselves: ‘ Potassium excretion was very significantly related to risk of death from all causes, having a protective role, whereas its role in coronary events was weaker and that of sodium excretion weak and even paradoxical. These results are unifactorial, without correction other than for age and sex. Our findings need corroboration from elsewhere and more detailed analysis with more events from longer follow-up.’

Since then, a large number of other studies have followed up, and appear to have confirmed that potassium has considerable health benefits. Some of these studies were not just observational, they were interventional. Here is summary of the potential beneficial effects. Potassium:

  • lowers blood pressure
  • lowers the risk of arrhythmias
  • lowers the risk of cardiovascular disease
  • lowers the risk of stroke
  • lowers the risk of heart attacks
  • lowers the risk of cancer, and
  • lowers the risk of death

These benefits have been confirmed in a number of different studies.  However, as this is a blog, I am not going to turn it into a medical paper and provide references for every statement, so I will stick to a couple of referenced studies. (If enough people are interested I can point you at additional papers).

With regard to blood pressure, a study published in 1997 found that adding roughly 2 grams (2000 mg) of potassium per day lowered blood pressure in older people by 15/8 mm Hg. As good, if not better, than any antihypertensive drug1.  And with no side-effects at all.

When it comes to stroke, it has been found that having a low potassium level is a very potent risk factor for both bleeding (haemorrhagic) and clotting (ischaemic strokes). In an American study it was found that in those with low potassium levels the relative risk of ischaemic stroke increased by 206%. The relative risk increased by 329% for haemorrhagic stroke2.

Admittedly, these two studies were done in people with high blood pressure to start with, but these effects are also found in healthy people.  However, to my mind, the most important thing about potassium is that I cannot find any study, anywhere, which suggests that increasing potassium consumption may be harmful. In short, it seems to be something that does only good.

I do recognise that a lot of doctors will shudder at the thought of adding potassium to the diet, as they have all been taught that a high potassium level is something terribly dangerous. A condition  that needs immediate treatment, or else it will cause arrhythmias and death.

It is true that you need to be careful of adding potassium to the diet of patients taking medications that can raise potassium levels. These are mainly drugs used to lower blood pressure. However, even in this group the risk of overdosing on potassium is exceedingly small. For everyone else the risk seems to be zero. This is why I now recommend potassium supplementation as a good way to live a longer, healthier life.

My goodness, I think this is the first time I have ever recommended a dietary supplement. Must go and lie down.

1: ‘Long term potassium supplementation lowers blood pressure in elderly hypertensive subjects’ Fotherby M.D. et al: Int J Clin Practice 1997 41(4): 219 – 222)

2: Smith NL, et al: ‘Serum potassium and stroke risk among treated hypertensive adults.’ Am J Hypertens. 2003 Oct;16(10):806-13

I told you so (The Obesity Initiative)

Don’t trouble me with the facts my mind is made up.’ Foghorn Leghorn

So, now the great obesity initiative is to be rolled out across the UK, driven by the UK Academy of Medical Royal Colleges (AOMRC). Some time ago I wrote a blog in which I outlined exactly what they would say….and lo, they have said it. The main recommendations are:

  • Food-based standards to be mandatory in all UK hospitals
  • A ban on new fast food outlets being located close to schools and colleges
  • A duty on all sugary soft drinks, increasing the price by at least 20%, to be piloted
  • Traffic light food labelling to include calorie information for children and adolescents – with visible calorie indicators for restaurants, especially fast food outlets
  • £100m in each of the next three years to be spent on increasing provision of weight management services across the country
  • A ban on advertising of foods high in saturated fats, sugar and salt before 9pm
  • Existing mandatory food- and nutrient-based standards in England to be statutory in free schools and academies

There is more such stuff, mainly about taxing and banning. It was all wearyingly predictable. This is exactly what the ‘experts’ have been saying for the last thirty years – this time with an ‘amazing 50% added legislation’. If what you have been doing doesn’t work. Then redouble your efforts, with added punishments. That’ll work. Just like prohibition worked in the states.

Even if these were the right things to do, and had some chance of working, I would not support them. Social control through legislation absolutely must be the last resort of a democratic society. Making people do what is good for them….hmmm. Aldous Huxley had something to say on this matter. That, however, is a broader issue.

Looking specifically at some of the recommendation, starting with the concept of putting a duty on all sugary soft drinks. This will inevitably mean that people will drink more ‘diet’ drinks- without sugar in them. Will this be a good idea? Well, here is a study from the USA, and the conclusions thereof:

‘Findings from this cohort of adolescents yielded strong evidence for cross-sectional associations between diet soda consumption with weight status in both boys and girls. Specifically, youth who consumed diet soda were more likely to have a higher BMI and PBF (percentage body fat) compared to those who did not.’ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402912/

This is consistent with other studies which show that drinking ‘diet’ soda is strongly associated with a greater risk of obesity than drinking sugary soft drinks. Such evidence is not hard to find. It is rather more difficult to interpret, but that is – again – another issue.

As for trying to reduce saturated fat consumption. I can say here and now that there is not one molecule of evidence to suggest that saturated fat consumption causes obesity. Not one. As for impact on heart disease….again, nothing.

My favourite quote on this comes from the Framingham study. The single most influential study on heart disease in the world.

‘In Framingham, Massachusetts, the more saturated fat one ate, the more cholesterol one ate, the more calories on ate, the lower people’s serum cholesterol.’ Dr William Castelli, Director of the Framingham study. 1992

[Not that I think cholesterol has anything to do with heart disease, but for those of a conventional view point, lowering cholesterol is supposed to be a good thing].

As for salt….where did this come from? I have yet to see any evidence linking increased salt intake to obesity. And why would it. How could it? Salt has no calories in it; it has no impact on any metabolic parameters that I know of. And I would challenge anyone to show me any evidence from any controlled randomised study that salt restriction (in health adults) has any benefits on cardiovascular disease.

I could go on, and on. But the main point is that the ‘experts’ are trapped with a mind-set that they cannot and will not change. Like all the best zealots, they know what the causes of obesity are. To misquote from Terminator.

‘Listen, and understand. That obesity initiative is out there. It can’t be bargained with. It can’t be reasoned with. It doesn’t feel pity, or remorse, or fear. And it absolutely will not stop, ever, until you are dead.’