<?xml version="1.0" encoding="utf-8"?>
<recommendedContent xmlns="http://api.mspoke.com">
    <recommendedItem id="20100101_19_391"
                     title="Rare Genetic Deletion Linked to Morbid Obesity (CME/CE)"
                     score="0.012"
                     href="http://www.medpagetoday.com/Genetics/GeneralGenetics/tb/18286?impressionId=1265782419982"
                     
      &lt;p&gt;Missing sections of DNA may have a powerful impact on weight for a small segment of the population, researchers said.&lt;/p&gt;
&lt;p&gt;Nearly all teens and adults found to have a particular deletion of roughly 30-genes on chromosome 16p11.2 were obese  --  most morbidly so  --  with a body mass index of at least 40 kg/m&lt;sup&gt;2&lt;/sup&gt;, Philippe Froguel, MD, PhD, of Imperial College London, and colleagues reported in &lt;em&gt;Nature&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;While the variant appeared to explain only a small proportion of morbid obesity  --  0.7% in the study population  --  it was never present in healthy, normal-weight controls.&lt;/p&gt;
&lt;p&gt;&quot;Although the recent rise in obesity in the developed world is down to an unhealthy environment, with an abundance of unhealthy food and many people taking very little exercise, the difference in the way people respond to this environment is often genetic,&quot; Froguel said in a prepared statement.&lt;/p&gt;
&lt;p&gt;But with further findings like these, it may be possible to identify such individuals through genetic testing, he said.&lt;/p&gt;
&lt;p&gt;If so, &quot;We can then offer them appropriate support and medical interventions, such as the option of weight-loss surgery, to improve their long-term health,&quot; Froguel declared.&lt;/p&gt;
&lt;p&gt;Although researchers speculate that one in 20 cases of obesity may have a genetic cause, the genetic component remains largely elusive.&lt;/p&gt;
&lt;p&gt;Even accounting for such a small fraction of cases, the newly discovered 16p11.2 variant would be the second most frequent known genetic cause of obesity, Froguel&apos;s group said.&lt;/p&gt;
&lt;p&gt;Extensive genome-wide association studies have linked numerous single nucleotide polymorphisms (SNPs) to obesity, but added all together they account for only a small fraction of the known heritable component, the researchers said.&lt;/p&gt;
&lt;p&gt;&quot;The &apos;common disease, common variant&apos; hypothesis is increasingly coming under challenge,&quot; they wrote.&lt;/p&gt;
&lt;p&gt;Their team first identified the genetic deletion in teen and adults with learning difficulties or delayed development.&lt;/p&gt;
&lt;p&gt;Because the 31 individuals who had the nearly identical deletions of at least 593 kilobases at chromosome 16p11.2 in one copy of their DNA all had a BMI of over 30 kg/m&lt;sup&gt;2&lt;/sup&gt;, the researchers decided to dig a little deeper.&lt;/p&gt;
&lt;p&gt;&quot;Cohorts with extreme phenotypes that include obesity may be enriched for rare but very potent risk variants,&quot; making them easier to discover, they wrote.&lt;/p&gt;
&lt;p&gt;So they undertook a case-control study among 312 patients at three centers in Britain and France who presented with congenital malformations, developmental delay, or both, in addition to obesity.&lt;/p&gt;
&lt;p&gt;The same deletions were seen in 2.9% of these individuals.&lt;/p&gt;
&lt;p&gt;The function of the missing genes are not well known, but some have previously been associated with delayed development, autism, and schizophrenia.&lt;/p&gt;
&lt;p&gt;Notably, though, the frequency of deletion of these genes in the obese case-control cohort was &quot;appreciably higher&quot; than the less than 1% seen in the autism and other studies that didn&apos;t include obesity as an inclusion criteria, the researchers said.&lt;/p&gt;
&lt;p&gt;A second independent survey of genetic data at eight cytogenetic centers in France, Switzerland, and Estonia turned up a 0.6% rate among 3,947 people with developmental delay, malformations, or both, but who were not selected for obesity (&lt;em&gt;P&lt;/em&gt;=0.00022 versus the cohort selected for obesity).&lt;/p&gt;
&lt;p&gt;Analysis of those with the missing genes revealed an age-dependent link to weight: All four teens and adults were obese. Children were often obese (four of 15) or overweight (two of 15). Children under 2 years all had normal weight.&lt;/p&gt;
&lt;p&gt;So to see whether the deletion was independent of neurodevelopmental problems, Froguel&apos;s group examined genome-wide association study data from general population cohorts totaling 11,856 individuals along with 2,772 from childhood obesity and adult morbid obesity case-control studies, 931 in an extreme early-onset obesity study, and 141 who had bariatric weight-loss surgery.&lt;/p&gt;
&lt;p&gt;All adult carriers of the deletion were obese with the exception of one who was apparently diabetic. Each of the seven children and adolescents who carried the variant had a BMI in the top 0.1% for their age and gender.&lt;/p&gt;
&lt;p&gt;None had any reported developmental or cognitive problems. Four had reported hyperphagia with excessive hunger and food intake.&lt;/p&gt;
&lt;p&gt;Altogether, the 16p11.2 deletions predicted 29.8-fold elevated risk of obesity (&lt;em&gt;P&lt;/em&gt;=0.00000058) and 43.0-fold elevated risk of morbid obesity (&lt;em&gt;P&lt;/em&gt;=0.000000064) compared with lean or normal weight.&lt;/p&gt;
&lt;p&gt;By extrapolation, the researchers extrapolated that about 0.4% of all morbidly obese cases are attributable to an inherited 16p11.2 deletion, with 0.3% arising from a de novo deletion in the same genetic region.&lt;/p&gt;
&lt;p&gt;&quot;Although they may be heterogeneous in nature, these deletions are highly likely to be the causal variants,&quot; they wrote.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The study was supported by &quot;Le Conseil Regional Nord Pas de Calais/FEDER&quot; along with various governmental and industry supporters for the various component studies.&lt;/p&gt;&lt;p&gt;The researchers reported no financial conflicts of interest.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_352"
                     title="ICAO: Future Chronic Disease Risk Goes Beyond BMI (CME/CE)"
                     score="0.009"
                     href="http://www.medpagetoday.com/Endocrinology/Diabetes/tb/18233?impressionId=1265782419982"
                     
      When it comes to predicting chronic disease, body mass index doesn&apos;t tell the whole story, according to a population-based study that found elevated risk with obesity and other metabolic risk factors independently.&lt;br&gt;
&lt;br&gt;Metabolically-healthy obese people tended toward being at least twice as likely to develop multiple metabolic risk factors and diabetes as healthy, normal weight individuals over the subsequent 3.5 years of a study led by Sarah Appleton, a postgraduate student at the University of Adelaide, Australia.&lt;br&gt;
&lt;br&gt;However, normal weight individuals with metabolic risk factors  --  a group the researchers called &quot;metabolically obese&quot;  --  were at greater risk, she told attendees at the International Congress on Abdominal Obesity in Hong Kong, a conference sponsored by the International Chair on Cardiometabolic Risk.&lt;br&gt;
&lt;br&gt;Overall, just 4.1% of the 3,743 adults in the population-based, North West Adelaide Health Study were in the normal body mass index range at baseline but had at least two of the following metabolic risk factors:&lt;ul&gt; &lt;li&gt;Triglyceride levels of 1.7 mmol/L or greater&lt;/li&gt; &lt;li&gt;HDL cholesterol under 1.0mmol/L for men or 1.3 mmol/L for women&lt;/li&gt; &lt;li&gt;Blood pressure of 130/85 mm Hg or higher&lt;/li&gt; &lt;li&gt;A fasting plasma glucose of at least 5.6mmol/L or self-reported diabetes&lt;/li&gt; &lt;li&gt;Treatment for any of these disorders &lt;/li&gt; &lt;/ul&gt;
&lt;p&gt;Although free of cardiovascular disease when they entered the study through a random population sample of the northwest region of Adelaide, after a mean of 3.5 years of follow-up, this group was 2.48 times at risk of incident cardiovascular disease or stroke events (95% CI 1.1 to 5.4).&lt;/p&gt;
&lt;p&gt;Compared with metabolically-healthy, normal weight individuals, those with metabolic risk factors tended to be&lt;strong&gt; &lt;/strong&gt;3.27 times as likely to develop diabetes (&lt;em&gt;P&lt;/em&gt;=0.07).&lt;/p&gt;
&lt;p&gt;Identifying these individuals for prevention efforts may require less emphasis on BMI and increased surveillance of central obesity in primary care, the researchers told the congress.&lt;/p&gt;
&lt;p&gt;&quot;The problem with BMI is it doesn&apos;t tell you where the fat is,&quot; Appleton added in an interview. &quot;Visceral fat is really bad for you.&quot;&lt;/p&gt;
&lt;p&gt;Obese individuals without multiple metabolic risk factors at baseline comprised a larger group (12.1%).&lt;/p&gt;
&lt;p&gt;They were more likely to be middle age, live in a disadvantaged neighborhood, have smoked at some point, and get less exercise than their metabolically similar, but slimmer peers.&lt;/p&gt;
&lt;p&gt;Over the subsequent 3.5 years, they were 2.82 times more likely to develop more than one metabolic risk factor than metabolically-healthy, normal weight individuals (95% CI 2.0 to 4.0).&lt;/p&gt;
&lt;p&gt;The metabolically-normal obese also tended to be 2.36 times more likely to develop diabetes (95% CI 0.8 to 7.1). On the other hand, their risk of cardiovascular disease wasn&apos;t elevated, &quot;which likely related to the younger age of that group,&quot; Appleton told &lt;em&gt;MedPage Today&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;Notably, abdominal obesity as determined by a waist circumference of 80 cm and over for men or 95 cm and greater for women was 6.1 times more likely among metabolically healthy individuals if their BMI was in the obese versus normal range.&lt;/p&gt;
&lt;p&gt;But those who were in the normal BMI range were 2.2-fold more likely to be overweight or obese according to waist circumference if they had metabolic risk factors, which was statistically significant as well and likely contributed to the health risks they faced over the short-term future, Appleton said.&lt;/p&gt;
&lt;p&gt;Maintenance of metabolic health in the obese population was more likely for younger individuals (OR 2.83 for age 40 or younger, 95% CI 1.1 to 7.6) and those who were at least moderately physically active (OR 2.04, 95% CI 1.01 to 4.1).&lt;/p&gt;
&lt;p&gt;Appleton noted that these findings generally fit with data from the U.S. National Health Assessment Survey and Examination.&lt;/p&gt;
&lt;p&gt;Regardless of whether patients have abdominal obesity, BMI obesity, or other metabolic risk factors, the solution is likely similar  --  improved diet and exercise, she said.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The study was supported by the University of Adelaide and the South Australian Department of Health.&lt;/p&gt;&lt;p&gt;Appleton reported no conflicts of interest.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_341"
                     title="Doctor&apos;s Orders: Brain&apos;s Wiring Makes Change Hard"
                     score="0.008"
                     href="http://www.medpagetoday.com/Psychiatry/Addictions/tb/18207?impressionId=1265782419982"
                     
      &lt;p&gt;Doctor&apos;s Orders&lt;em&gt; is a feature in the collaboration between &lt;/em&gt;MedPage Today &lt;em&gt;and&lt;/em&gt; ABC News&lt;em&gt;. In this monthly segment we explore medical issues of interest to physicians and their patients alike. This month, we look at addiction and addictive behaviors, and what neuroimaging studies have revealed about why it&apos;s so hard to break bad habits. &lt;/em&gt;&lt;/p&gt;&lt;hr&gt;

&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;By the end of January, many New Year&apos;s resolutions have been tossed out with the leftover holiday cookies. That&apos;s because change is hard  --  and neuroscientists are learning why.&lt;br&gt;
&lt;br&gt;Advances in neuroimaging have enabled researchers to peer inside the brains of addicts and patients with addictive behaviors. They can see in real-time what gets patients hooked: how the brain&apos;s reward system  --  based largely on the neurotransmitter dopamine  --  thirsts for more, while inhibitory control centers experience a system failure.&lt;br&gt;
&lt;br&gt;The pattern is similar across all kinds of behaviors  --  from cocaine and tobacco addiction to overeating. That&apos;s why changing your mind may be the first step toward breaking a habit, but altering the brain&apos;s neural machinery is the real challenge.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Hijacked Pathways&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Drug-taking and other addictive behaviors &quot;hijack&quot; the brain&apos;s reward system, says Petros Levounis, MD, director of the Addiction Institute of New York at St. Luke&apos;s and Roosevelt Hospitals in Manhattan.&lt;/p&gt;
&lt;p&gt;In normal patients, dopamine plays a major role in motivation and reward, surging before and during a pleasurable activity  --  say, eating or sex  --  to make patients want to repeat a behavior that&apos;s crucial to the survival of the species.&lt;/p&gt;
&lt;p&gt;Dopaminergic pathways connect the limbic system, responsible for emotion, with the hippocampus, etching rewarding behaviors into the brain by creating strong, salient memories.&lt;/p&gt;
&lt;p&gt;The problem arises when the memory and the craving to recapture it takes over a person&apos;s life.&lt;/p&gt;
&lt;p&gt;&quot;Imagine what a strong hold these hijacked reward pathways take on our brains and our whole existence when they&apos;re so closely connected, geographically and anatomically speaking, with our memories and our emotions,&quot; Levounis says.&lt;/p&gt;
&lt;p&gt;As the dopamine surge repeats and repeats, it gains speed, but the brakes begin to fail: Normal function in the brain&apos;s frontal lobes, responsible for inhibitory control and executive functioning (read: willpower), tends to decrease in addicts.&lt;/p&gt;
&lt;p&gt;&quot;Ultimately,&quot; Levounis says, &quot;the war on drugs is a war between the hijacked reward pathways that push the person to want to use, and the frontal lobes, which try to keep the beast at bay. That is the essence of addiction.&quot;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Similar Patterns&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;These neural pathways have been well studied in the brains of hardcore addicts. Now, researchers say they see similar pathways involved in other bad behaviors.&lt;/p&gt;
&lt;p&gt;Gene-Jack Wang, MD, of Brookhaven National Laboratory on New York&apos;s Long Island, has conducted several brain imaging studies of obese patients using PET-CT scans.&lt;/p&gt;
&lt;p&gt;The scans have revealed similarities in brain activity  --  or a lack thereof  --  between patients addicted to cocaine or alcohol, and those &quot;addicted&quot; to eating. Normally, the PET scan lights up when a contrast of radioactive glucose is metabolized, revealing an area of red activity in the center of the brain.&lt;/p&gt;
&lt;p&gt;But in both drug-addicted and obese patients, the scans show very little red activity, because there aren&apos;t enough receptors to which the radioactive glucose can bind. Wang says the decreased availability of dopamine receptors is the brain&apos;s way of coping with a constant dopamine overload.&lt;/p&gt;
&lt;p&gt;&quot;If a person constantly has an excess of dopamine, the brain will down-regulate,&quot; Wang says, explaining the principle commonly referred to as tolerance. &quot;Once the system is down-regulated, we have to do more in order to get the same amount of feeling in our normal state.&quot;&lt;/p&gt;
&lt;p&gt;Thus, obese patients &quot;will want to eat more in order to compensate for their down-regulated system.&quot;&lt;/p&gt;
&lt;p&gt;In other experiments, Wang and his colleagues have also found that a higher body mass index (BMI) correlated with lower prefrontal cortex function  --  the area associated with inhibitory control.&lt;/p&gt;
&lt;p&gt;&quot;If they&apos;re obese,&quot; Wang said, &quot;they have a problem controlling their eating behaviors.&quot;&lt;/p&gt;
&lt;p&gt;Those studies also revealed that a higher BMI was linked to a decrease in memory and executive functioning.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Out of Control&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Ed Susman was 293 pounds when he decided to join a clinical trial for an investigational weight-loss drug and chronicle his year-long experience for &lt;em&gt;MedPage Today&lt;/em&gt;. (See &lt;a href=&quot;http://www.medpagetoday.com/PrimaryCare/Diabetes/8125&quot; mce_href=&quot;http://www.medpagetoday.com/PrimaryCare/Diabetes/8125&quot; target=&quot;_blank&quot;&gt;Journalist Participant to Present Insider View of Weight-Loss Trial&lt;/a&gt;)&lt;/p&gt;
&lt;p&gt;Eating, to him, was a &quot;compulsion&quot;  --  as was biting his nails, a habit he picked up at age 4.&lt;/p&gt;
&lt;p&gt;Over the course of the trial, not only did Susman lose 52 pounds, he also stopped his nail-biting.&lt;/p&gt;
&lt;p&gt;He doesn&apos;t yet know if he was in the drug arm of the trial, but he strongly suspects he wasn&apos;t experiencing a placebo effect.&lt;/p&gt;
&lt;p&gt;&quot;I believe I was on the drug because it controlled a compulsion that I had had for 50 years,&quot; Susman says of the nail-biting. &quot;This stopped it cold.&quot;&lt;/p&gt;
&lt;p&gt;Unfortunately, he says, the same didn&apos;t happen with his eating habits, but he&apos;s gained back only 10 of those 52 pounds in the year since his participation in the trial ended.&lt;/p&gt;
&lt;p&gt;The still-investigational drug is lorcaserin  --  a combination of benzazepine and hydrochloride, two neurological agents. Susman says it is &quot;supposed to improve your willpower, your ability to overcome compulsions.&quot;&lt;/p&gt;
&lt;p&gt;Lorcaserin is a selective 5-HT&lt;sub&gt;2C&lt;/sub&gt; receptor agonist, working through the serotonin system, which regulates appetite, mood, and motor behavior.&lt;/p&gt;
&lt;p&gt;Two other investigational obesity drugs target the dopamine reward system  --  Contrave, which is a combination of bupropion and naltrexone, and Qnexa, which combines phentermine and topiramate.&lt;/p&gt;
&lt;p&gt;&quot;Some medications that have used similar dopamine modulation, until now, have failed,&quot; Wang said. &quot;These two companies are using the command of the modulation of the dopamine system with other neurological systems, such as the opiate or norepinephrine system. According to the trials, they&apos;ve been very effective.&quot;&lt;/p&gt;
&lt;p&gt;Wang called the new medications &quot;a bright light for the treatment of obesity.&quot;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Kicking the Habit&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Basically, the idea of medications that act on the dopamine system is &quot;to cool down those reward pathways,&quot; Levounis says. There are two strategies for doing so: an agonist strategy, or an antagonist strategy.&lt;/p&gt;
&lt;p&gt;The agonist strategy is &quot;feeding the beast, providing activity in the cell so that the cravings go down,&quot; Levounis said. Classic examples are nicotine patches, or methadone for opioid dependence.&lt;/p&gt;
&lt;p&gt;On the other hand, the antagonist strategy is to block the receptors. Naltrexone, for example, will block opioid receptors so that the drug addict won&apos;t feel anything if he or she attempts to get high.&lt;/p&gt;
&lt;p&gt;&quot;After a while, you say, &apos;This is not worth my time, my money, my trouble,&apos; so you stop using,&quot; Levounis explains.&lt;/p&gt;
&lt;p&gt;These have been the two main strategies in addiction pharmacotherapy, but there&apos;s now a &quot;third avenue&quot;  --  the partial agonist approach.&lt;/p&gt;
&lt;p&gt;The partial agonist is one molecule that blocks most receptors while still providing just a little bit of an &quot;oomph&quot; to calm cravings. That&apos;s how varenicline (Chantix) helps smokers quit, and how buprenorphine gets junkies off heroin or other opioids.&lt;/p&gt;
&lt;p&gt;But what about inhibitory control? What if medications could ramp up will power?&lt;/p&gt;
&lt;p&gt;&quot;It&apos;s an area of active research,&quot; Levounis says. &quot;There are some medications proposed, but nothing to write home about.&quot;&lt;/p&gt;
&lt;p&gt;He said treatment is typically twofold. For addicts, psychiatrists will try to &quot;cool down&quot; the reward pathways, often with medication. Then, they target the diminished frontal lobes.&lt;/p&gt;
&lt;p&gt;&quot;We try to beef up the frontal lobes as much as we can, and we do that with psychotherapy,&quot; Levounis said.&lt;/p&gt;
&lt;p&gt;Researchers agree that psychotherapy is key to regaining self-control, and it&apos;s the predominant treatment used in patients with addictive behaviors.&lt;/p&gt;
&lt;p&gt;Mark Smaller, PhD, a psychoanalyst in private practice in Chicago, said psychotherapy often reveals an underlying cause for an addiction or compulsive behavior. Usually, it&apos;s anxiety or depression.&lt;/p&gt;
&lt;p&gt;Acknowledging those problems may help change behaviors. Once they&apos;re realized, a patient can start working against them, with the help of the brain&apos;s own neuroplasticity. Essentially, neurons can disconnect and reconnect, or loosen their connections and tighten them, which often manifests in noticeable change.&lt;/p&gt;
&lt;p&gt;&quot;[Psychological] insights can actually begin to change brain chemistry and diffuse compulsions,&quot; he said. &quot;If you address those issues, you can have a positive impact on your life that can change the chemistry of your brain.&quot;&lt;/p&gt;
&lt;p&gt;Smaller said it &quot;creates a new psychological  --  if not neurological  --  structure that can help regulate behavior.&quot;&lt;/p&gt;
&lt;p&gt;Although research on neuroplasticity is relatively young, the concept of &quot;rewiring&quot; the brain is not new.&lt;/p&gt;
&lt;p&gt;In fact, too often, the electrician metaphor has been employed as an excuse for indulging, an explanation for a New Year&apos;s resolution deferred: &quot;I can&apos;t stop eating chocolate, I&apos;m just not wired that way.&quot;&lt;/p&gt;

&lt;hr&gt;
&lt;p&gt;&lt;img src=&quot;http://www.medpagetoday.com/upload/2009/10/30/16717.jpg&quot; mce_src=&quot;http://www.medpagetoday.com/upload/2009/10/30/16717.jpg&quot; alt=&quot;&quot;&gt;&lt;em&gt; is a collaboration between &lt;/em&gt;MedPage Today &lt;em&gt;and&lt;/em&gt; ABC News&lt;em&gt;.&lt;/p&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_325"
                     title="MRI Reveals Risk for Kidney Failure in Diabetic Patients (CME/CE)"
                     score="0.005"
                     href="http://www.medpagetoday.com/Nephrology/Diabetes/tb/18195?impressionId=1265782419982"
                     
      So-called silent strokes, visible on cerebral MRI scans, predict kidney failure in patients with type 2 diabetes, Japanese researchers said.&lt;br&gt;
&lt;br&gt;After an average follow-up of 7.5 years, diabetic patients with evidence of small cerebral infarctions at baseline later suffered death or kidney failure at more than twice the rate seen in patients who had not had silent strokes, reported Takashi Uzu, MD, of Shiga University of Medical Sciences in Shiga, Japan, and colleagues.&lt;br&gt;
&lt;br&gt;Silent strokes are a consequence of cerebral microvascular disease and thus may logically accompany the development of similar abnormalities in renal blood vessels, ultimately leading to kidney failure, the researchers explained online in the &lt;em&gt;Journal of the American Society of Nephrology&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;&quot;It is important to identify individuals who are at risk of progression of diabetic renal disease,&quot; Uzu and colleagues wrote.&lt;/p&gt;
&lt;p&gt;The current standard prognostic test is the albumin-creatinine ratio, but it is not entirely adequate for the purpose, they suggested: &quot;Recent clinical studies have shown that renal insufficiency can occur in the absence of microalbuminuria in patients with type 2 diabetes.&quot;&lt;/p&gt;
&lt;p&gt;But they acknowledged that brain MRI scans would be too expensive and inconvenient for routine prognostic testing.&lt;/p&gt;
&lt;p&gt;&quot;New strategies are needed to determine the presence of renal and/or extrarenal microvascular diseases,&quot; Uzu and colleagues wrote.&lt;/p&gt;
&lt;p&gt;Their study involved 608 patients with type 2 diabetes who had no clinical signs of cerebrovascular or cardiovascular disease or overt nephropathy. Their mean age at baseline was about 60 and the average glycated hemoglobin level was about 8.6%.&lt;/p&gt;
&lt;p&gt;Participants underwent cerebral MRI scans at baseline, with 177 showing evidence of silent cerebral infarctions, defined as focal lesions of at least 3 mm in diameter with low signal intensity on T1-weighted images and high intensity with T2 weighting. Dilated perivascular spaces were distinguished from infarcts with proton density scans. Patients with positive findings who had a history of stroke or transient ischemic attack were excluded.&lt;/p&gt;
&lt;p&gt;Those with silent infarctions at baseline differed significantly from other participants according to several parameters. Not surprisingly, patients with cerebral infarcts on average were somewhat older (63 versus 57), had had diabetes for a longer period of time (9.8 years versus 7.6), had higher blood pressure (146.8 mm Hg systolic versus 136.5 ), and were more likely to have a history of smoking (58% versus 46%). All differences were significant at &lt;em&gt;P&lt;/em&gt;&amp;lt;0.01.&lt;/p&gt;
&lt;p&gt;On the other hand, baseline fasting plasma glucose and glycated hemoglobin levels were both significantly lower in the patients who&apos;d had silent infarctions: mean 163 mg/dL versus 176 for glucose and 8.3% versus 8.7% for HbA1c (&lt;em&gt;P&lt;/em&gt;&amp;#8804;0.01 for both).&lt;/p&gt;
&lt;p&gt;Patients were followed for up to 10 years, with a mean of 7.5. The primary outcome was end-stage renal disease or death, and Uzu and colleagues chose a secondary outcome combining dialysis with doubling of serum creatinine.&lt;/p&gt;
&lt;p&gt;Kaplan-Meier curves for the patients with and without silent infarctions at baseline indicated that the primary outcome occurred at equal rates through the first four years of follow-up, but then the curves diverged abruptly.&lt;/p&gt;
&lt;p&gt;At year eight, approximately 6% of the noninfarcted group had experienced the primary outcome, compared with 21% of those who&apos;d had silent strokes (&lt;em&gt;P&lt;/em&gt;&amp;lt;0.0001), according to Uzu and colleagues.&lt;/p&gt;
&lt;p&gt;Curves for the secondary outcome began diverging by year three. At year eight, about 6% of the noninfarct participants had gone to dialysis or had serum creatinine levels double, whereas these endpoints occurred in nearly 30% of the infarct group (&lt;em&gt;P&lt;/em&gt;&amp;lt;0.0001).&lt;/p&gt;
&lt;p&gt;Overall, the hazard ratio associated with baseline silent cerebral infarctions for the primary outcome during follow-up was 2.44 (95% CI 1.36 to 4.38).&lt;/p&gt;
&lt;p&gt;The hazard ratio for death alone was somewhat smaller (1.61, 95% CI 0.71 to 3.62), indicating that most of the risk measured by the primary outcome was actually in end-stage renal disease.&lt;/p&gt;
&lt;p&gt;For the secondary outcome, the hazard ratio was 4.79 (95% CI 2.72 to 8.46).&lt;/p&gt;
&lt;p&gt;All the hazard ratios reflected adjustments for age, sex, duration of diabetes, body mass index, smoking status, HbA1c, blood pressure, serum lipids, and standard lab indices of kidney function at baseline.&lt;/p&gt;
&lt;p&gt;Estimated glomerular filtration rate (eGFR) during follow-up also decreased faster in patients with silent strokes. After five years, mean eGFR had fallen by 8 ml/min/m&lt;sup&gt;2&lt;/sup&gt; in the patients without silent infarcts at baseline compared with 10.5 ml/min/m&lt;sup&gt;2&lt;/sup&gt; in those with cerebral microvascular disease.&lt;/p&gt;
&lt;p&gt;The researchers noted that the study was conducted at two clinical sites, which used somewhat different MRI procedures. But they also indicated that the prevalence of silent infarctions did not differ between the sites.&lt;/p&gt;
&lt;p&gt;Other limitations included use of an older creatinine assay, inclusion of larger silent infarcts which could reflect macrovascular disease, and more patients in the cerebral infarct group who were taking renin-angiotensin system blocking drugs, which have renal impairment as an adverse effect.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;External funding for the study was not reported.&lt;/p&gt;&lt;p&gt;No potential conflicts of interest were reported.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_315"
                     title="A Few Extra Pounds May Benefit Older People (CME/CE)"
                     score="0.005"
                     href="http://www.medpagetoday.com/Geriatrics/GeneralGeriatrics/tb/18183?impressionId=1265782419982"
                     
      &lt;p&gt;A little excess weight after age 70 could do the body some good, according to results of a study involving 9,000 older patients.&lt;/p&gt;
&lt;p&gt;Overweight participants in the cohort study had the lowest 10-year mortality. Normal-weight and obese participants ages 70 to 75 had a similar and slightly higher risk of death, Leon Flicker, PhD, of the Western Australian Center for Health and Aging in Perth, and colleagues found.&lt;/p&gt;
&lt;p&gt;The findings add to evidence suggesting that being overweight in older age is not such a bad thing and might even be beneficial.&lt;/p&gt;
&lt;p&gt;&quot;These results lend further credence to claims that the body mass index [BMI] thresholds for overweight and obese are overly restrictive for older people,&quot; the researchers concluded in an article in the &lt;em&gt;Journal of the American Geriatrics Society&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;The authors also found that a sedentary lifestyle doubled the mortality risk for older women but did not affect survival of older men.&lt;/p&gt;
&lt;p&gt;The World Health Organization has established four BMI thresholds to characterize body weight: &lt;ul&gt; &lt;li&gt;&amp;lt;18.5 kg/m&lt;sup&gt;2&lt;/sup&gt;, underweight&lt;/li&gt; &lt;li&gt;18.5 to 24.9 kg/m&lt;sup&gt;2&lt;/sup&gt;, normal weight&lt;/li&gt; &lt;li&gt;25 to 29.9 kg/m&lt;sup&gt;2&lt;/sup&gt;, overweight&lt;/li&gt; &lt;li&gt;&amp;#8805;30 kg/m&lt;sup&gt;2&lt;/sup&gt;, obese&lt;/li&gt; &lt;/ul&gt;&lt;/p&gt;
&lt;p&gt;The authors noted that the thresholds were derived primarily from studies of younger and middle-age adults. Whether the cut points for overweight and obese are appropriate for older individuals has remained unclear.&lt;/p&gt;
&lt;p&gt;Two systematic reviews and a meta-analysis showed no increased mortality risk associated with a BMI in the overweight range for older people (&lt;em&gt;Arch Intern Med&lt;/em&gt; 2001; 161: 1194-1203, &lt;em&gt;Obesity Rev&lt;/em&gt; 2007; 8: 41-59). However, methodologic differences complicated the comparison of different studies, Flicker and colleagues wrote.&lt;/p&gt;
&lt;p&gt;So they sought to address some of the uncertainty by analyzing data from two large Australian cohort studies involving more than 9,000 individuals ages 70 to 75 (4,677 men, 4,563 women).&lt;/p&gt;
&lt;p&gt;The principal objectives were to determine the BMI threshold associated with the lowest mortality in older people and to determine whether the relationship between BMI and mortality differed between men and women.&lt;/p&gt;
&lt;p&gt;Data for the analysis came from self-reported measures of height and weight, which the authors used to calculate BMI for the study participants. Participants also provided demographic, lifestyle, and health information.&lt;/p&gt;
&lt;p&gt;Using the WHO criteria for BMI, the authors found that 1.3% of men and 3.1% of women were underweight; 43.5% of men and 50.3% of women were normal weight; 44.3% of men and 33.5% of women were overweight; and 11% of men and 13.1% of women were obese.&lt;/p&gt;
&lt;p&gt;During 10 years of follow-up, overweight study participants had a 13% lower risk of death compared with normal-weight participants (HR 0.87, 95% CI 0.78 to 0.94). Obese participants had a mortality risk similar to that of normal-weight participants (HR 0.98, 95% CI 0.85 to 1.11).&lt;/p&gt;
&lt;p&gt;Self-reported sedentary lifestyle doubled the mortality risk for women across all BMI categories (HR 2.08, 95% CI 1.79 to 2.41). In contrast, sedentary lifestyle increased the mortality risk for men by 28% (HR 1.28, 95% CI 1.14 to 1.44).&lt;/p&gt;
&lt;p&gt;Separate analyses involving common causes of death, such as cardiovascular disease and cancer, showed similar relationships between BMI and mortality risk.&lt;/p&gt;
&lt;p&gt;&quot;Even after removing the effects of early mortality, those who were overweight were still at lowest risk, a finding consistent with the observation that weight loss in older age groups is associated with greater mortality,&quot; the authors wrote.&lt;/p&gt;
&lt;p&gt;&quot;Overweight older people are not at greater mortality risk, and there is little evidence that dieting in this age group confers any benefit,&quot; they added.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The authors had no relevant disclosures&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
</recommendedContent>