Pathophysiological Relevance and Therapeutic Outlook of GPR43 in Atherosclerosis.

Atherosclerosis (AS) is an inflammatory arterial disorder that occurs due to the deposition of the excessive lipoprotein under the artery intima, mainly including low-density lipoprotein (LDL) and other apolipoprotein B-containing lipoproteins. G protein-coupled receptors (GPCRs) play a crucial role in transmitting signals in physiological and pathophysiological conditions. GPCRs recognize inflammatory mediators, thereby serving as important players during chronic inflammatory processes. It has been demonstrated that free fatty acids can function as ligands for various GPCRs, such as free fatty acid receptor (FFAR)1/GPR40, FFAR2/GPR43, FFAR3/GPR41, FFAR4/GPR120, and the lipid metabolite binding glucose-dependent insulinotropic receptor (GPR119). This review discusses GPR43 and its ligands in the pathogenesis of AS, especially focusing on its distinct role in regulating chronic vascular inflammation, inhibiting oxidative stress, ameliorating endothelial dysfunction and improving dyslipidemia. It is hoped that this review may provide guidance for further studies aimed at GPR43 as a promising target for drug development in the prevention and therapy of AS.

Health-care access among adults with epilepsy: The U.S. National Health Interview Survey, 2010 and 2013.

INTRODUCTION: Community-based and other epidemiologic studies within the United States have identified substantial disparities in health care among adults with epilepsy. However, few data analyses addressing their health-care access are representative of the entire United States. This study aimed to examine national survey data about adults with epilepsy and to identify barriers to their health care. MATERIALS AND METHODS: We analyzed data from U.S. adults in the 2010 and the 2013 National Health Interview Surveys, multistage probability samples with supplemental questions on epilepsy. We defined active epilepsy as a history of physician-diagnosed epilepsy either currently under treatment or accompanied by seizures during the preceding year. We employed SAS-callable SUDAAN software to obtain weighted estimates of population proportions and rate ratios (RRs) adjusted for sex, age, and race/ethnicity. RESULTS: Compared to adults reporting no history of epilepsy, adults reporting active epilepsy were significantly more likely to be insured under Medicaid (RR=3.58) and less likely to have private health insurance (RR=0.58). Adults with active epilepsy were also less likely to be employed (RR=0.53) and much more likely to report being disabled (RR=6.14). They experience greater barriers to health-care access including an inability to afford medication (RR=2.40), mental health care (RR=3.23), eyeglasses (RR=2.36), or dental care (RR=1.98) and are more likely to report transportation as a barrier to health care (RR=5.28). CONCLUSIONS: These reported substantial disparities in, and barriers to, access to health care for adults with active epilepsy are amenable to intervention.

Falls and fall injuries among adults with arthritis--United States, 2012.

Falls are the leading cause of injury-related morbidity and mortality among older adults, with more than one in three older adults falling each year, resulting in direct medical costs of nearly $30 billion. Some of the major consequences of falls among older adults are hip fractures, brain injuries, decline in functional abilities, and reductions in social and physical activities. Although the burden of falls among older adults is well-documented, research suggests that falls and fall injuries are also common among middle-aged adults. One risk factor for falling is poor neuromuscular function (i.e., gait speed and balance), which is common among persons with arthritis. In the United States, the prevalence of arthritis is highest among middle-aged adults (aged 45-64 years) (30.2%) and older adults (aged ≥65 years) (49.7%), and these populations account for 52% of U.S. adults. Moreover, arthritis is the most common cause of disability. To examine the prevalence of falls among middle-aged and older adults with arthritis in different states/territories, CDC analyzed data from the 2012 Behavioral Risk Factor Surveillance System (BRFSS) to assess the state-specific prevalence of having fallen and having experienced a fall injury in the past 12 months among adults aged ≥45 years with and without doctor-diagnosed arthritis. This report summarizes the results of that analysis, which found that for all 50 states and the District of Columbia (DC), the prevalence of any fall (one or more), two or more falls, and fall injuries in the past 12 months was significantly higher among adults with arthritis compared with those without arthritis. The prevalence of falls and fall injuries is high among adults with arthritis but can be addressed through greater dissemination of arthritis management and fall prevention programs in clinical and community practice.

Valproate prescriptions for nonepilepsy disorders in reproductive-age women.

BACKGROUND: Scientific evidence has consistently shown taking valproate during pregnancy increases risks of congenital malformations and cognitive impairment. As such, elimination of its use would be an important step in birth defects prevention. There are guidelines discouraging its use among women with epilepsy, but none exists for women without epilepsy, nor is the prevalence of valproate for nonepilepsy indications known. METHODS: Using de-identified data from the National Hospital and Ambulatory Medical Care Surveys (1996-2007), we examined individual prescriptions for reproductive-age adolescent girls and adult women ages 15 to 44 years in the United States, and estimated the number of antiepileptic drug and valproate prescriptions in the aggregate. We classified our study population using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, as women with epilepsy and women without epilepsy. The prevalence of antiepileptic drug and valproate prescriptions among women without epilepsy was estimated as prescriptions per 1000 patient visits for every 3-year time interval and the overall study period. RESULTS: We found 83% of valproate prescriptions were issued to women without epilepsy and 74% of these were for psychiatric diagnoses. The prevalence of antiepileptic drug prescriptions among women without epilepsy tripled during the study period (10.3 [1996-1998] vs. 34.9 [2005-2007] per 1000 patient visits), whereas valproate prescriptions remained relatively stable (3.1 [1996-1998] vs. 3.7 [2005-2007] per 1000 patient visits). CONCLUSION: Most women of reproductive age who receive a valproate prescription do not have epilepsy. Valproate prescriptions did not decline, despite increasing knowledge of its teratogenicity. Reducing valproate use among women of reproductive age, especially among those who use the drug for psychiatric indications, would prevent birth defects and cognitive deficits.

Prevalence of specific types of arthritis and other rheumatic conditions in the ambulatory health care system in the United States, 2001-2005.

OBJECTIVE: To estimate the overall prevalence of medically-treated arthritis and other rheumatic conditions (AORC) for adults, the prevalence of specific medically-treated conditions, and the overall annual number of visits for these conditions in the ambulatory health care system. METHODS: We used data from the 2001-2005 National Ambulatory Medical Care Survey and 2001-2005 National Hospital Ambulatory Medical Care Survey to estimate annual ambulatory health care visits for the International Classification of Diseases, Ninth Revision, Clinical Modification codes thought to represent AORC. Using data on the number of prior annual visits per patient per condition, we converted the visit estimates into prevalence estimates of adults age > or =18 years with medically-treated AORC overall and for specific conditions. RESULTS: The overall prevalence estimate of adults with medically-treated AORC was 29,150,000 adults (95% confidence interval [95% CI] 26,473,000-31,826,000) and accounted for 77,887,300 ambulatory care visits (95% CI 71,266,000-84,508,000). The top 5 most prevalent conditions were osteoarthritis and allied disorders, unspecified joint disorders, peripheral enthesopathies, unspecified arthropathies, and other disorders of synovium, tendon, or bursa. CONCLUSION: The advantage of our approach is that it uses existing rather than expensive new surveys for tracking the prevalence of medically-treated AORC overall and tracking the prevalence of difficult to measure specific conditions. The estimates are data based and national in scope. More relevantly, they better estimate the numbers of persons whose AORC impacts on the ambulatory health care system.

Prevalence of and annual ambulatory health care visits for pediatric arthritis and other rheumatologic conditions in the United States in 2001-2004.

OBJECTIVE: To estimate the prevalence of and the annual number of ambulatory health care visits for pediatric arthritis and other rheumatologic conditions. METHODS: We used physician office visit, outpatient department visit, and emergency department visit data from the 2001-2004 National Ambulatory Medical Care Survey and 2001-2004 National Hospital Ambulatory Medical Care Survey to estimate annual visits for the International Classification of Diseases, Ninth Revision, Clinical Modification codes thought to represent significant pediatric arthritis and other rheumatologic conditions (SPARC). We converted visit estimates into prevalence estimates using data on the number of prior annual visits per patient. Synthetic estimates for states were produced using national rates. RESULTS: The average annualized estimate of the number of children with SPARC was 294,000 (95% confidence interval [95% CI] 188,000-400,000). The annualized number of ambulatory health care visits for SPARC was 827,000 (95% CI 609,000-1,044,000). CONCLUSION: Pediatric arthritis estimates have varied widely because it is an umbrella term for which there are many definitions and because it is a relatively uncommon condition from a population surveillance perspective. Our estimates suggest that arthritis-related health care visits impose a substantial burden on the pediatric health care system. One advantage of this surveillance paradigm is that it has established a starting point for tracking the national prevalence of arthritis and rheumatologic conditions in children on an ongoing basis using existing infrastructure rather than expensive new surveys. This surveillance system will help us monitor and predict the health care needs of patients with these conditions.

Computations of confidence intervals for estimates in the United States National Hospital Discharge Survey, 1979-2000.

INTRODUCTION: The National Hospital Discharge Survey is a primary data source for epidemiology research in the United States. To ensure that estimates are reliable, confidence intervals need to be calculated. The original survey data source is not available to the public, and the usual statistical methods are unsuitable for calculating confidence intervals. Instead, calculating confidence intervals requires using the statistical methods and relative standard errors that the U.S. National Center for Health Statistics has provided. However, the relative standard error parameters differ by hospital, patient category, and group. They also change yearly with sampling and are expressed differently before and during or after 1988. Consequently, manual computations of confidence intervals with multiple groups, diseases, and years are inefficient and prone to error. We developed a SAS program to compute confidence intervals for National Hospital Discharge Survey data from 1979 through 2000, newborns excluded. METHODS: We transposed 22 tables of relative standard error parameters (one for each year) into two new parameter tables that maintain the sampling designs before 1988 and during and after 1988 but are similar in overall structure. We unified all values to make each set of relative standard error parameters unique. We developed a program, COMPURSE, to search for relative standard error parameters for inputted estimates and to calculate confidence intervals. We set up an interface program for users to enter data, time period, confidence interval level, and output location; to read the relative standard error parameter tables; and to run the COMPURSE program. RESULTS: For different sets of National Hospital Discharge Survey data, COMPURSE efficiently and correctly retrieved relevant relative standard error parameters for estimates and accurately calculated relative standard errors, standard errors, and confidence intervals for annual estimates, multiple-year summaries, and average annual estimates. CONCLUSION: The program COMPURSE helps users analyze National Hospital Discharge Survey data efficiently.