Analysis of patient records using state-of-the-art data analytics can be done to predict future risk of metabolic syndrome, as demonstrated in research published in American Journal of Managed Care. More than a third of the U.S. population has metabolic syndrome, a condition that can lead to chronic heart disease, stroke and diabetes. These conditions combine to account for almost 20 percent of overall health care costs in the U.S. The study was conducted by Aetna (NYSE: AET) and GNS Healthcare Inc. (GNS), a leading provider of big data analytics products and services in health care.
"This study demonstrates how integration of multiple sources of patient data can help predict patient-specific medical problems," said lead author Dr. Gregory Steinberg, head of clinical innovation at Aetna Innovation Labs. "We believe the personalized clinical outreach and engagement strategies, informed by data from this study, can help improve the health of people with metabolic syndrome and reduce the associated costs."
Metabolic Syndrome
Metabolic Syndrome is associated with sedentary lifestyle .It makes a person more prone to develop type 2 diabetes and coronary artery disease.
Advertisement
"The breakthrough in this study is that we are able to bring to light hyper-individualized patient predictions, including quantitatively identifying which individual patients are most at risk, which syndrome factors are most likely to push that patient past a threshold, and which interventions will have the greatest impact on that individual," said Colin Hill, co-founder and CEO of GNS. "The GNS automated data analytics platform paired with Aetna's deep clinical expertise produced these results on extremely large datasets in just three months, a testament to the ability of both groups."
GNS analyzed data from nearly 37,000 members of one of Aetna's employer customers who had voluntarily participated in screening for metabolic syndrome. The data analyzed included medical claims records, demographics, pharmacy claims, lab tests and biometric screening results over a two-year period. For this study, the Aetna and GNS teams utilized two distinct analytical models:
![High Occurrence of Metabolic Syndrome in Smokers]( "High Occurrence of Metabolic Syndrome in Smokers")
Metabolic syndrome predisposes threat of coronary heart ailments and smoking can increase the risk of development of metabolic syndrome.
• A claims-based-only model to predict the probability of each of the five metabolic syndrome factors occurring for each study subject.
• A second model based on both claims and biometric data to predict whether each study subject is likely to get worse, improve or stay the same for each metabolic syndrome factor.
Both analytical models predicted future risk of metabolic syndrome on both a population and an individual level, with ROC/AUC (receiver operating characteristic/area under the curve) varying from 0.80 and 0.88. The researchers were able to develop detailed risk profiles for individual participants, enabling a deep understanding of exactly which combination of the five metabolic syndrome factors each of the study subjects exhibit and are at risk for developing. For every Aetna member whose data was used in the study, the researchers used a scale that measures the percentage risk that individuals have of exhibiting each of the five metabolic syndrome factors. For example, in an individual patient who exhibited two of the five risk factors, researchers could predict which third factor is the most likely to develop.
The analytical models also helped identify individual variable impact on risk associated with adherence to prescribed medications, as well as adherence to routine, scheduled outpatient doctor visits. A scheduled, outpatient visit with a primary care physician lowers the one-year probability of having metabolic syndrome in nearly 90 percent of individuals. In addition, the study found that improving waist circumference and blood glucose yielded the largest benefits on patients' subsequent risk and medical costs.
Source: Eurekalert
High Occurrence of Metabolic Syndrome in Smokers
Metabolic syndrome predisposes threat of coronary heart ailments and smoking can increase the risk of development of metabolic syndrome.
Advertisement
• A claims-based-only model to predict the probability of each of the five metabolic syndrome factors occurring for each study subject.
• A second model based on both claims and biometric data to predict whether each study subject is likely to get worse, improve or stay the same for each metabolic syndrome factor.
Both analytical models predicted future risk of metabolic syndrome on both a population and an individual level, with ROC/AUC (receiver operating characteristic/area under the curve) varying from 0.80 and 0.88. The researchers were able to develop detailed risk profiles for individual participants, enabling a deep understanding of exactly which combination of the five metabolic syndrome factors each of the study subjects exhibit and are at risk for developing. For every Aetna member whose data was used in the study, the researchers used a scale that measures the percentage risk that individuals have of exhibiting each of the five metabolic syndrome factors. For example, in an individual patient who exhibited two of the five risk factors, researchers could predict which third factor is the most likely to develop.
The analytical models also helped identify individual variable impact on risk associated with adherence to prescribed medications, as well as adherence to routine, scheduled outpatient doctor visits. A scheduled, outpatient visit with a primary care physician lowers the one-year probability of having metabolic syndrome in nearly 90 percent of individuals. In addition, the study found that improving waist circumference and blood glucose yielded the largest benefits on patients' subsequent risk and medical costs.
Source: Eurekalert
Areca Nut Chewing and Prevalence of Metabolic Syndrome
Areca nut chewing, especially with tobacco additives, has a significant positive association with metabolic syndrome.
Advertisement
 PFC may Cause Metabolic Syndrome in KidsA new study has recently found how children exposed to high levels of perfluorinated chemicals demonstrated signs of metabolic syndrome | Advertisement
|
Advertisement
Recommended Readings
Latest Research News
A latest research suggests that the quality of a person's post-work recovery in the evening can impact their mood when they resume work the next day.
Researchers are working on new strategies and solutions for sleep apnea to ward off a range of health risks including cognitive decline.
The scientists discovered that when the stem cells in the hair follicle are made softer, they have a higher chance of growing hair.
A combinatorial therapy provided promising beneficial results among people with ischemic stroke.
In Parkinson's disease patients voice disorders are quite common. A new combination therapy had greater effects on the voice.