Temporal Trends in Hepatitis C-Related Hospitalizations, United States, 2000-2019.

BACKGROUND: Hospitalization burden related to hepatitis C virus (HCV) infection is substantial. We sought to describe temporal trends in hospitalization rates before and after release of direct-acting antiviral (DAA) agents. METHODS: We analyzed 2000-2019 data from adults aged ≥18 years in the National Inpatient Sample. Hospitalizations were HCV-related if (1) hepatitis C was the primary diagnosis, or (2) hepatitis C was any secondary diagnosis with a liver-related primary diagnosis. We analyzed characteristics of HCV-related hospitalizations nationally and examined trends in age-adjusted hospitalization rates. RESULTS: During 2000-2019, there were an estimated 1 286 397 HCV-related hospitalizations in the United States. The annual age-adjusted hospitalization rate was lowest in 2019 (18.7/100 000 population) and highest in 2012 (29.6/100 000 population). Most hospitalizations occurred among persons aged 45-64 years (71.8%), males (67.1%), White non-Hispanic persons (60.5%), and Medicaid/Medicare recipients (64.0%). The national age-adjusted hospitalization rate increased during 2000-2003 (annual percentage change [APC], 9.4%; P < .001) and 2003-2013 (APC, 1.8%; P < .001) before decreasing during 2013-2019 (APC, -7.6%; P < .001). Comparing 2000 to 2019, the largest increases in hospitalization rates occurred among persons aged 55-64 years (132.9%), Medicaid recipients (41.6%), and Black non-Hispanic persons (22.3%). CONCLUSIONS: Although multiple factors likely contributed, overall HCV-related hospitalization rates declined steadily after 2013, coinciding with the release of DAAs. However, the declines were not observed equally among age, race/ethnicity, or insurance categories. Expanded access to DAA treatment is needed, particularly among Medicaid and Medicare recipients, to reduce disparities and morbidity and eliminate hepatitis C as a public health threat.

The Predictive Value of International Classification of Disease Codes for Chronic Hepatitis C Virus Infection Surveillance: The Utility and Limitations of Electronic Health Records.

Surveillance of chronic hepatitis C virus (HCV) cases faces limitations that result in delays and under-reporting. With increasing use of electronic health records (EHRs), the authors evaluated the predictive value of using International Classification of Diseases, Ninth Revision (ICD-9) codes to identify chronic HCV cases from EHR data. Longitudinal EHR data from 4 health care systems during 2006-2012 were evaluated. Using chart abstraction and review to confirm chronic HCV cases ("gold standard" definition), the authors calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 2 case definitions: (1) ≥2 ICD-9 codes separated by ≥6 months and (2) ≥1 positive HCV RNA (ribonucleic acid) test. Among 2,718,995 patients, 20,779 (0.8%) with ICD-9 codes indicating a likely diagnosis of chronic HCV infection were identified; 13,595 (65.4%) of these were randomly selected for review. Case definition 1 (≥2 ICD-9 codes separated by ≥6 months) had 70.3% sensitivity, 91.9% PPV, 99.9% specificity, and 99.9% NPV while case definition 2 (≥1 positive HCV RNA test) had 74.1% sensitivity, 97.4% PPV, 99.9% specificity, and 99.9% NPV. The predictive values of these alternate EHR-derived ICD-9 code-based case definitions suggest that these measures may be useful in capturing the burden of diagnosed chronic HCV infections. Their use can augment current chronic HCV case surveillance efforts; however, their accuracy may vary by length of observation and completeness of EHR data.

Assessing potential population impact of statin treatment for primary prevention of atherosclerotic cardiovascular diseases in the USA: population-based modelling study.

OBJECTIVE: New cholesterol treatment guidelines from American College of Cardiology/American Heart Association recommend statin treatment for more of US population to prevent atherosclerotic cardiovascular disease (ASCVD). It is important to assess how new guidelines may affect population-level health. This study assessed the impact of statin use for primary prevention of ASCVD under the new guidelines. METHODS: We used data from 2010 US Multiple Cause Mortality, Third National Health and Nutrition Examination Survey (NHANES III) Linked Mortality File (1988-2006, n=8941) and NHANES 2005-2010 (n=3178) participants 40-75 years of age for the present study. RESULTS: Among 33.0 million adults meeting new guidelines for primary prevention of ASCVD, 8.8 million were taking statins; 24.2 million, including 7.7 million with diabetes, are eligible for statin treatment. If all those with diabetes used a statin, 2514 (95% CI 592 to 4142) predicted ASCVD deaths would be prevented annually with 482 (0 to 2239) predicted annual additional cases of myopathy based on randomised clinical trials (RCTs), and 11 801 (9251 to 14 916) using population-based study. Among 16.5 million without diabetes, 5425 (1276 to 8935) ASCVD deaths would be prevented annually with 16 406 (4922 to 26 250) predicted annual additional cases of diabetes and between 1030 (0 to 4791) and 24 302 (19 363 to 30 292) additional cases of myopathy based on RCTs and population-based study. Assuming 80% eligible population take statins with 80% medication adherence, among those without diabetes, the corresponding numbers were 3472 (817 to 5718) deaths, 10 500 (3150 to 16 800) diabetes, 660 (0 to 3066) myopathy (RCTs), and 15 554 (12 392 to 19 387) myopathy (population-based). The estimated total annual cost of statins use ranged from US$1.65 to US$6.5 billion if 100% of eligible population take statins. CONCLUSIONS: This population-based modelling study focused on impact of statin use on ASCVD mortality. Under the new guidelines, if all those eligible for primary prevention of ASCVD take statins, up to 12.6% of annual ASCVD deaths might be prevented, though additional cases of diabetes and myopathy likely occur. DISCLAIMER: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Vital Signs: Predicted Heart Age and Racial Disparities in Heart Age Among U.S. Adults at the State Level.

INTRODUCTION: Cardiovascular disease is a leading cause of morbidity and mortality in the United States. Heart age (the predicted age of a person's vascular system based on their cardiovascular risk factor profile) and its comparison with chronological age represent a new way to express risk for developing cardiovascular disease. This study estimates heart age and differences between heart age and chronological age (excess heart age) and examines racial, sociodemographic, and regional disparities in heart age among U.S. adults aged 30-74 years. METHODS: Weighted 2011 and 2013 Behavioral Risk Factor Surveillance System data were applied to the sex-specific non-laboratory-based Framingham risk score models, stratifying the results by age and race/ethnic group, educational and income level, and state. These results were then translated into age-standardized heart age values, mean excess heart age was calculated, and the findings were compared across groups. RESULTS: Overall, average predicted heart age for adult men and women was 7.8 and 5.4 years older than their chronological age, respectively. Statistically significant (p<0.05) racial/ethnic, sociodemographic, and regional differences in heart age were observed: heart age among non-Hispanic black men (58.7 years) and women (58.9 years) was greater than other racial/ethnic groups, including non-Hispanic white men (55.3 years) and women (52.5 years). Excess heart age was lowest for men and women in Utah (5.8 and 2.8 years, respectively) and highest in Mississippi (10.1 and 9.1 years, respectively). CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: The predicted heart age among U.S. adults aged 30-74 years was significantly higher than their chronological age. Use of predicted heart age might 1) simplify risk communication and motivate more persons to live heart-healthy lifestyles and better comply with recommended therapeutic interventions, and 2) motivate communities to implement programs and policies that support cardiovascular health.

Geographic and racial patterns of preventable hospitalizations for hypertension: Medicare beneficiaries, 2004-2009.

OBJECTIVES: Hypertension as the primary reason for hospitalization is often used to indicate failure of the outpatient health-care system to prevent and control high blood pressure. Investigators have reported increased rates of these preventable hospitalizations for black people compared with white people; however, none have mapped them nationally by race. METHODS: We used Medicare Part A data to estimate preventable hypertension hospitalizations from 2004-2009 using technical specifications published by the Agency for Healthcare Research and Quality. Rates per 100,000 beneficiaries were age- and sex-standardized to 2000 U.S. Census data. We mapped county-level rates by race and identified clusters of counties with extreme rates. RESULTS: Black people had higher crude rates of these hospitalizations than white people for every year studied, and the test for an increasing linear time trend for the standardized rates was significant for both black and white people; that is, the gap between the races increased over time. For both races, clusters of high-rate counties occurred primarily in parts of Oklahoma, Texas, Southern Alabama, and Louisiana. High rates for white people were also found in parts of Appalachia. Large differences in rates among black and white people were found in a number of large urban areas and in parts of Florida and Alabama. CONCLUSIONS: Racial disparities in preventable hospitalizations for hypertension persisted through 2009. The gap between black and white people is increasing, and these inequities exist unevenly across the country. Although this study was intended to be purely descriptive, future studies should use multivariate analyses to examine reasons for these unequal distributions.

Surveillance for certain health behaviors among States and selected local areas - United States, 2010.

PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. RESULTS: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.

Surveillance of certain health behaviors among states and selected local areas--United States, 2005.

PROBLEM: Behavioral risk factors such as smoking, poor diet, physical inactivity, and excessive drinking are linked to the leading causes of death in the United States. Controlling these behavioral risk factors and using preventive health services (e.g., influenza and pneumococcal vaccination of adults aged > or =65 years and hypertension and cholesterol screenings) can substantially reduce the morbidity and mortality in the U.S. population. Continuous monitoring of these behaviors and preventive services are essential for developing health promotion, intervention programs, and health policies at the state, city, and county level. REPORTING PERIOD COVERED: Data collected in 2005 are presented for states/territories, selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and selected counties. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit--dialed telephone survey of the noninstitutionalized U.S. population aged > or =18 years. BRFSS collects information on health risk behaviors and preventive health services related to leading causes of death. All 50 states, the District of Columbia (DC), the Commonwealth of Puerto Rico, and the U.S. Virgin Islands participated in BRFSS during 2005. Within these states and territories, 153 MMSAs and 232 counties that reported data for at least 500 respondents or a minimum sample size of 19 per weighting class were included in the analyses. RESULTS: Prevalence of health-risk behaviors, awareness of specific medical conditions, and use of preventive services varied substantially by state/territory, MMSA, and county. In 2005, prevalence of health insurance ranged from 60% to 95% for states/territories, MMSAs, and counties. Prevalence of leisure-time physical inactivity ranged from 16% to 49% for states/territories, 14% to 36% for MMSAs, and 12% to 41% for counties. Prevalence of adults who engaged in at least moderate physical activity ranged from 33% to 62%, and prevalence of vigorous physical activity ranged from 15% to 42% for states/territories, MMSAs, and counties. Prevalence of adults who currently smoke cigarettes ranged from 6% to 35% for states/territories, MMSAs, and counties. The prevalence of binge drinking was substantially higher than the prevalence of heavy drinking across all the states/territories, MMSAs, and counties. Prevalence of adults who were overweight ranged from 53% to 67 % for states/territories, 49% to 70% for MMSAs, and 44% to 71% for counties. Prevalence of current asthma ranged from 4% to 14% for states/territories, MMSAs, and counties. Prevalence of diabetes ranged from 4% to 14% for states/territories and MMSAs and from 3% to 14% for counties. Proportion of respondents with high blood pressure ranged from 13% to 39% for states/territories, MMSAs and counties. Prevalence of respondents with high cholesterol ranged from 31% to 41% for states/territories and 26% to 47% for MMSAs and counties. The prevalence estimates for respondents who reported being limited in any way in any activities because of physical, mental, or emotional problems ranged from 10% to 27% for states/territories, 12% to 31% for MMSAs, and 10% to 27% for counties. The percentage of respondents who required use of special equipment ranged from 4% to 10% for the states/territories, 3% to 15% for MMSAs, and 3% to 11% for counties. Prevalence of fair or poor health ranged from 11% to 34% for states/territories and 6% to 26% for MMSAs and counties. The prevalence of adults who checked their cholesterol during the preceding 5 years ranged from 55% to 86% for states/territories, MMSAs, and counties. Prevalence of annual influenza vaccination among adults aged > or =65 years ranged from 32% to 78% for states/territories, 48% to 83% for MMSAs, and 41% to 84% for counties. The estimated prevalence of pneumococcal vaccination among adults aged > or =65 years ranged from 28% to 72% for states/territories, 52% to 82% for MMSAs, and 35% to 83% for counties. INTERPRETATION: The findings in this report indicate a wide variation in health-risk behaviors, chronic conditions, and use of preventive services among U.S. adults at the state/territory, MMSA, and county level. The findings underscore a need for continuous efforts to evaluate public health intervention programs and policies designed to reduce morbidity and mortality caused by chronic disease and injury. PUBLIC HEALTH ACTION: The 2005 BRFSS data indicate a need for continued monitoring of health-risk behaviors, specific disease conditions, and use of preventive services to identify high-risk populations and to implement and monitor health-promotion programs and health policies at the state/territory, MMSA, and county level.

Direct and indirect costs of asthma in school-age children.

INTRODUCTION: Asthma is one of the most common chronic diseases of childhood and is the most common cause of school absenteeism due to chronic conditions. The objective of this study is to estimate direct and indirect costs of asthma in school-age children. METHODS: Using data from the 1996 Medical Expenditure Panel Survey, we estimated direct medical costs and school absence days among school-age children who had treatment for asthma during 1996. We estimated indirect costs as costs of lost productivity arising from parents' loss of time from work and lifetime earnings lost due to premature death of children from asthma. All costs were calculated in 2003 dollars. RESULTS: In 1996, an estimated 2.52 million children aged five to 17 years received treatment for asthma. Direct medical expenditure was 1009.8 million dollars (401 dollars per child with asthma), including payments for prescribed medicine, hospital inpatient stay, hospital outpatient care, emergency room visits, and office-based visits. Children with treated asthma had a total of 14.5 million school absence days; asthma accounts for 6.3 million school absence days (2.48 days per child with asthma). Parents' loss of productivity from asthma-related school absence days was 719.1 million dollars (285 dollars per child with asthma). A total of 211 school-age children died of asthma during 1996, accounting for 264.7 dollars million lifetime earnings lost (105 dollars per child with asthma). Total economic impact of asthma in school-age children was 1993.6 million dollars (791 dollars per child with asthma). CONCLUSION: The economic impact of asthma on school-age children, families, and society is immense, and more public health efforts to better control asthma in children are needed.