chocolate and cognitive function, etc

so, this is probably the most important article i've sent out.  i had sent out others on chocolate (especially dark chocolate, which happens to be my favorite) and decreased heart failure and CAD, with postulates that the dietary flavanols in chocolate improve endothelial function, decrease blood pressure, etc.  Now, from franz messerli (it was his htn article i sent out before which suggested that hydrochlorothiazide was a poor choice for an antihypertensive agent) is an article in NEJM finding that on a country-wide basis, per capita chocolate consumption was remarkably highly correlated with the number of nobel laureates (adjusted for population size). (see chocolate and nobel laureates nejm 2012 in dropbox).  turns out that the US has a chocolate consumption of only 5 kg/person/yr -- and, i suspect, with a peak consumption at halloween -- vs switzerland and germany at around 12 kg/person/yr.  if only high fructose corn syrup worked.... we would be way ahead).

i also sent out one on coronary artery disease and chocolate (see cad and chocolate bmj 2011 in dropbox, or http://www.bmj.com/content/343/bmj.d4488/suppl/DC1​), but seem to have lost it from my saved file of blogs. basically meta-anal of epidemiological studies with 114K people, finding 37% decrease in coronary artery disease and 29% decrease in stroke in chocolate-consumers.

Comments

Post a Comment

if you would like to receive the near-daily emails regularly, please email me at gmodest@uphams.org

Popular posts from this blog

cystatin c: better predictor of bad outcomes than creatinine

  another article found significant discordance between creatinine and cystatin C in assessing renal function,  finding that the latter correlated most strongly with both renal and non-renal adverse clinical outcomes (see   ckd cystatin c better than creat AJKD2023  in  dropbox or doi: 10.1053/ j.ajkd.2023.04.002)   Details: -- 158,601 adults who were in the Stockholm Creatinine Measurements (SCREAM) project and had testing of creatinine and cystatin C on the same day during a healthcare encounter, from 2010-2018     -- >400,000 outpatient tests were done for both creatinine and cystatin C levels -- mean age 62, 48% female -- mean eGFR by creatinine (   eGFR cr ) 80; mean eGFR by cystatin C ( eGFR cys  ) 73 -- mean stage of renal insufficiency: 39%  eGFR cr   90+; 38%  eGFR cr  60-89; 12%  eGFR cr  45-59; 7.1%  eGFR cr  30-44; 3.2%  eGFR cr  15-29, 0.7%  eGFR cr ...
Read more

diabetes DPP-4 inhibitors and the risk of heart failure

the FDA just came out with a safety alert about 2 DPP-4 inhibitors and the increased risk of heart failure (released 04/05/2016)(see  http://www.fda.gov/Safety/MedWatch/SafetyInformation/SafetyAlertsforHumanMedicalProducts/ucm494252.htm?source=govdelivery&utm_medium=email&utm_source=govdelivery ​ ). details: --saxagliptin and alogliptin were singled out because of 2 clinical trials in diabetic patients with heart disease. in each trial more patients taking these meds were hospitalized for heart failure vs those on placebo     --in the saxagliptin trial: 3.5% were hospitalized for heart failure (vs 2.8% on placebo). risk factors included prior heart failure or kidney disease     --in the alogliptin trial: 3.9% were hospitalized for heart failure (vs 3.3% on placebo) --recommendation by the FDA:     -- we should consider stopping these drugs if the patient develops heart failure ...
Read more

UPDATE: ASCVD risk factor critique

I decided to do an extensive update of my prior ASCVD (atherosclerotic cardiovascular disease) risk analysis and critique of risk calculators, with much more information about the “non-traditional” risk factors. I felt that there should be more data/clarification, since I think we are really undertreating/not preventing the most common cause of death by relying on the current ASCVD risk calculators   -- Cardiovascular risk models:      -- many of us rely on the various cardiovascular risk models to determine the appropriate approach to patients, and these are often integrated into the electronic medical records      -- these risk models have several very important limitations:          -- they are typically based on community data, eg from the Framingham study etc. But, in clinical practice, we are dealing with the individual and not the community:          ...
Read more