Hearing Loss Prevalence, Years Lived With Disability, and Hearing Aid Use in the United States From 1990 to 2019: Findings From the Global Burden of Disease Study.

OBJECTIVES: This article describes key data sources and methods used to estimate hearing loss in the United States, in the Global Burden of Disease study. Then, trends in hearing loss are described for 2019, including temporal trends from 1990 to 2019, changing prevalence over age, severity patterns, and utilization of hearing aids. DESIGN: We utilized population-representative surveys from the United States to estimate hearing loss prevalence for the Global Burden of Disease study. A key input data source in modeled estimates are the National Health and Nutrition Examination Surveys (NHANES), years 1988 to 2010. We ran hierarchical severity-specific models to estimate hearing loss prevalence. We then scaled severity-specific models to sum to total hearing impairment prevalence, adjusted estimates for hearing aid coverage, and split estimates by etiology and tinnitus status. We computed years lived with disability (YLDs), which quantifies the amount of health loss associated with a condition depending on severity and creates a common metric to compare the burden of disparate diseases. This was done by multiplying the prevalence of severity-specific hearing loss by corresponding disability weights, with additional weighting for tinnitus comorbidity. RESULTS: An estimated 72.88 million (95% uncertainty interval (UI) 68.53 to 77.30) people in the United States had hearing loss in 2019, accounting for 22.2% (20.9 to 23.6) of the total population. Hearing loss was responsible for 2.24 million (1.56 to 3.11) YLDs (3.6% (2.8 to 4.7) of total US YLDs). Age-standardized prevalence was higher in males (17.7% [16.7 to 18.8]) compared with females (11.9%, [11.2 to 12.5]). While most cases of hearing loss were mild (64.3%, 95% UI 61.0 to 67.6), disability was concentrated in cases that were moderate or more severe. The all-age prevalence of hearing loss in the United States was 28.1% (25.7 to 30.8) higher in 2019 than in 1990, despite stable age-standardized prevalence. An estimated 9.7% (8.6 to 11.0) of individuals with mild to profound hearing loss utilized a hearing aid, while 32.5% (31.9 to 33.2) of individuals with hearing loss experienced tinnitus. Occupational noise exposure was responsible for 11.2% (10.2 to 12.4) of hearing loss YLDs. CONCLUSIONS: Results indicate large burden of hearing loss in the United States, with an estimated 1 in 5 people experiencing this condition. While many cases of hearing loss in the United States were mild, growing prevalence, low usage of hearing aids, and aging populations indicate the rising impact of this condition in future years and the increasing importance of domestic access to hearing healthcare services. Large-scale audiometric surveys such as NHANES are needed to regularly assess hearing loss burden and access to healthcare, improving our understanding of who is impacted by hearing loss and what groups are most amenable to intervention.

How to Use Janus Kinase Inhibitors in the Treatment of Rheumatoid Arthritis? A Clinical Assessment of Risks and Benefits.

PURPOSE OF REVIEW: To provide an updated understanding of risks and benefits of Janus kinase inhibitors (JAKi) versus biologic disease-modifying antirheumatic drugs (bDMARDs) in the management of rheumatoid arthritis (RA). RECENT FINDINGS: Shared decision-making is needed in choosing between JAKi and bDMARDs. Cardiovascular disease, malignancy, and thromboembolic events guide this choice. In patients with active RA despite methotrexate use, tumor necrosis factor inhibitor is conditionally favored over JAKi for low-cardiovascular-risk patients and strongly favored in those with pre-existing cardiovascular disease or multiple cardiovascular risk factors. Suboptimal treatment of treatment-refractory RA patients may pose a greater absolute cardiovascular risk than with JAKi use. Use of aspirin and statin may be considered to reduce cardiovascular risk. New safety data on JAKi has redefined the treatment approach in RA. JAKi remains an important oral medication option in active RA despite treatment with bDMARDs, especially in those with low cardiovascular risk.

Perioperative assessment of muscle inflammation susceptibility in patients with end-stage osteoarthritis.

Many individuals with end-stage osteoarthritis (OA) undergo elective total hip/knee arthroplasty (THA/TKA) to relieve pain, improve mobility and quality of life. However, ∼30% suffer long-term mobility impairment following surgery. This may be in part due to muscle inflammation susceptibility (MuIS+), an overt proinflammatory pathology localized to skeletal muscle surrounding the diseased joint, present in some patients with TKA/THA. We interrogated the hypothesis that MuIS+ status results in a perturbed perioperative gene expression profile and decreases skeletal muscle integrity in patients with end-stage OA. Samples were leveraged from the two-site, randomized, controlled trial R01HD084124, NCT02628795. Participants were dichotomized based on surgical (SX) muscle gene expression of TNFRSF1A (TNF-αR). MuIS+/- samples were probed for gene expression and fibrosis. Paired and independent two-tailed t tests were used to determine differences between contralateral (CTRL) and surgical (SX) limbs and between-subject comparisons, respectively. Significance was declared at P < 0.05. Seventy participants (26M/44F; mean age 62.41 ± 8.86 yr; mean body mass index 31.10 ± 4.91 kg/m2) undergoing THA/TKA were clustered as MuIS+ (n = 24) or MuIS- (n = 46). Lower skeletal muscle integrity (greater fibrosis) exists on the SX versus CTRL limb (P < 0.001). Furthermore, MuIS+ versus MuIS- muscle exhibited higher proinflammatory (IL-6R and TNF-α) and catabolic (TRIM63) gene expression (P < 0.001, P = 0.004, and 0.024 respectively), with a trend for greater fibrosis (P = 0.087). Patients with MuIS+ exhibit more inflammation and catabolic gene expression in skeletal muscle of the SX limb, accompanied by decreased skeletal muscle integrity (Trend). This highlights the impact of MuIS+ status emphasizing the potential value of perioperative MuIS assessment to inform optimal postsurgical care.NEW & NOTEWORTHY This study assessed the skeletal muscle molecular characteristics associated with end-stage osteoarthritis and refined an important phenotype, in some patients, termed muscle inflammation susceptibility (MuIS+) that may be an important consideration following surgery. Furthermore, we provide evidence of differential inflammatory and catabolic gene expression between the contralateral and surgical limbs along with differences between the skeletal muscle surrounding the diseased hip versus knee joints.

Benefit-risk assessment and reporting in clinical trials of chronic pain treatments: IMMPACT recommendations.

ABSTRACT: Chronic pain clinical trials have historically assessed benefit and risk outcomes separately. However, a growing body of research suggests that a composite metric that accounts for benefit and risk in relation to each other can provide valuable insights into the effects of different treatments. Researchers and regulators have developed a variety of benefit-risk composite metrics, although the extent to which these methods apply to randomized clinical trials (RCTs) of chronic pain has not been evaluated in the published literature. This article was motivated by an Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials consensus meeting and is based on the expert opinion of those who attended. In addition, a review of the benefit-risk assessment tools used in published chronic pain RCTs or highlighted by key professional organizations (ie, Cochrane, European Medicines Agency, Outcome Measures in Rheumatology, and U.S. Food and Drug Administration) was completed. Overall, the review found that benefit-risk metrics are not commonly used in RCTs of chronic pain despite the availability of published methods. A primary recommendation is that composite metrics of benefit-risk should be combined at the level of the individual patient, when possible, in addition to the benefit-risk assessment at the treatment group level. Both levels of analysis (individual and group) can provide valuable insights into the relationship between benefits and risks associated with specific treatments across different patient subpopulations. The systematic assessment of benefit-risk in clinical trials has the potential to enhance the clinical meaningfulness of RCT results.

Epidemiology of hospitalizations with cocaine use disorder: A 17-year U.S. national study.

OBJECTIVE: To examine the time-trends in hospitalizations and the factors associated with outcomes of hospitalizations with cocaine use disorder (CocUD). METHODS: This study used the U.S. National Inpatient Sample (NIS) data from 1998 to 2014 to examine the time-trends in hospitalization rates and the predictors of healthcare utilization (total hospital charges, discharge destination, length of hospital stay) and in-hospital mortality for CocUD-hospitalization. We used multivariable-adjusted logistic regression analyses to assess the association of patient demographics (age, sex, race/ethnicity, household income), comorbidity (Deyo-Charlson index), insurance payer (Medicare, Medicaid, private, self-pay or other), and hospital characteristics (location/teaching status; hospital bed size; and region) with outcomes with healthcare utilization and in-hospital mortality for CocUD-hospitalizations. RESULTS: There were 6,454,775 weighted hospitalizations with CocUD in the U.S. 1998-2014. The population was predominantly black (38%), 45 years or younger (65%) and male (63%). There was no change from study periods, 1998-2000 to 2013-2014, in the hospitalization rate, 959 to 973 per 100,000 NIS claims or in-hospital mortality rate, 7.7 to 9.2, respectively. In the multivariable-adjusted analyses, we found that older age, male gender, non-white race, Deyo-Charlson index score of 2 or higher, insurance payer other than private, higher income, hospital region, an urban setting hospital and a larger hospital bed size were associated with higher healthcare utilization outcomes and/or in-hospital mortality. CONCLUSIONS: The hospitalization and in-hospital mortality of hospitalizations with CocUD remained stable over the study period from 1998 to 2014. This study identified several factors associated with healthcare utilization outcomes and mortality outcomes of hospitalizations with CocUD.

Factors associated with healthcare utilization and mortality in alcohol use disorder hospitalization.

OBJECTIVE: To examine the outcomes of alcohol use disorder (AUD)-hospitalizations. METHODS: We used the U.S. National Inpatient Sample (NIS) data from 1998 to 2016 to examine predictors of Healthcare utilization (total hospital charges, discharge destination, length of hospital stay) and in-hospital mortality for AUD-hospitalization outcomes. We used logistic regression to assess the association of patient demographics (age, sex, race/ethnicity, household income), comorbidity (Deyo-Charlson index), insurance payer (Medicare, Medicaid, private, self-pay or other), and hospital characteristics (location/teaching status; hospital bed size; and region) with outcomes RESULTS: There were 5,590,952 primary AUD-hospitalizations from 1998 to 2016; of these 106,419 (1.9 %) died in-hospital. The mean age was 48 years, 73 % were male, 59 % white, and 57 % had a Deyo-Charlson comorbidity score of zero. In multivariable-adjusted analyses of AUD-hospitalizations, older age, female sex, higher Deyo-Charlson index, rural location or hospitals with medium or large bed sizes were associated with significantly higher in-hospital mortality and healthcare utilization. Similarly, South or Western U.S. hospital location, White race, or high income quartile were associated with higher healthcare utilization. Compared to a private insurance payer, Medicare or Medicaid insurance payers were associated with higher healthcare utilization, but lower in-hospital mortality. CONCLUSIONS: We identified several independent associations of modifiable and non-modifiable factors with healthcare utilization and mortality outcomes for AUD-hospitalizations. These findings provide an opportunity for prognosis, resource allocation and the development of interventions to improve outcomes of AUD-hospitalizations in the future.

Flare Rate Thresholds for Patient Assessment of Disease Activity States in Gout.

OBJECTIVE: To determine the relationship between gout flare rate and self-categorization into remission, low disease activity (LDA), and patient acceptable symptom state (PASS). METHODS: Patients with gout self-categorized as remission, LDA, and PASS, and reported number of flares over the preceding 6 and 12 months. Multinomial logistic regression was used to determine the association between being in each disease state (LDA and PASS were combined) and flare count, and self-reported current flare. A distribution-based approach and extended Youden index identified possible flare count thresholds for each state. RESULTS: Investigators from 17 countries recruited 512 participants. Remission was associated with a median recalled flare count of zero over both 6 and 12 months. Each recalled flare reduced the likelihood of self-perceived remission compared with being in higher disease activity than LDA/PASS, by 52% for 6 months and 23% for 12 months, and the likelihood of self-perceived LDA/PASS by 15% and 5% for 6 and 12 months, respectively. A threshold of 0 flares in preceding 6 and 12 months was associated with correct classification of self-perceived remission in 58% and 56% of cases, respectively. CONCLUSION: Flares are significantly associated with perceptions of disease activity in gout, and no flares over the prior 6 or 12 months is necessary for most people to self-categorize as being in remission. However, recalled flare counts alone do not correctly classify all patients into self-categorized disease activity states, suggesting that other factors may also contribute to self-perceived gout disease activity.

Serious Infections in Patients With Gout in the US: A National Study of Incidence, Time Trends, and Outcomes.

OBJECTIVE: To study the epidemiology of serious infections in patients hospitalized with gout. METHODS: We identified patients with gout hospitalized with a primary diagnosis of pneumonia, sepsis/bacteremia, urinary tract infection (UTI), skin and soft tissue infections (SSTIs), or opportunistic infections (OIs) in a US National Inpatient Sample from 1998 to 2016 and examined factors associated with utilization and mortality. RESULTS: We noted 1,140,085 hospitalizations of patients with serious infections and gout (11% of all hospitalizations of patients with gout; 1998-2000 [8.9%], 2015-2016 [14.5%]). Compared to patients without gout, patients with gout hospitalized with serious infections were older (median age 65 versus 74 years), more of them had a Charlson-Deyo comorbidity index score ≥2 (42% versus 65%), and fewer were female (53% versus 35%) or non-White (40% versus 35%), respectively. The most common infection was pneumonia (52%) in 1998-2000 and sepsis (52%) in 2015-2016. Median hospital charges and hospital stays were higher for patients with sepsis and OIs in 2015-2016 ($41,000-$42,000; 5.1-5.5 days) versus those with UTI, pneumonia, or SSTIs ($15,000-$17,000; 3.0-3.9 days). Compared to patients with sepsis, the multivariable-adjusted odds of health care utilization and in-hospital mortality were significantly lower for patients with UTI, SSTIs, and pneumonia, and non-home discharge or in-hospital mortality were lower in patients with OIs. Among patients hospitalized with infections, older age, Medicaid coverage, a higher Charlson-Deyo comorbidity index score, Black race, and Northeast and nonrural hospital location were associated with significantly higher health care utilization and mortality, while female sex, Medicare insurance, and lower income were associated with higher utilization. CONCLUSION: Given an increasing rate of serious infections, especially sepsis and pneumonia, in individuals with gout, development of effective interventions targeting factors associated with health care utilization and mortality will improve outcomes and reduce burden.

Medicaid Payer Status, Higher Comorbidity, and Low Income Are Associated With Poorer Outcomes After Total Elbow Arthroplasty.

OBJECTIVE: To assess whether insurance payer, comorbidity, and income are associated with total elbow arthroplasty (TEA) outcomes. METHODS: We used the 1998-2014 US National Inpatient Sample. Multivariable logistic regression adjusted for demographics and underlying diagnosis to estimate odds ratio (OR) and 95% confidence intervals (CI) of insurance payer, comorbidity, and income with TEA outcomes. RESULTS: The mean age was 60 (SE, 0.29) years, 68% were female, and 62% were white among the 7992 TEA procedures. Compared with private insurance, Medicaid was associated with significantly higher ORs (95% CI) of (1) hospital charges above the median, 1.25 (95% CI, 1.01-1.53); (2) discharge to a rehabilitation facility, 1.64 (95% CI, 1.16-2.31); (3) hospital stay >2 days, 1.63 (95% CI, 1.32-2.00); (4) fracture, 1.71 (95% CI, 1.14-2.56). Medicare payer was associated with higher ORs (95% CI) of (1) discharge to a rehabilitation facility, 1.80 (95% CI, 1.42-2.28); and (2) hospital stay >2 days, 1.29 (95% CI, 1.12-1.50). Compared with Deyo-Charlson score of zero, odds of health care utilization outcomes were higher by 14% to 20% for score of 1 and by 62% to 146% for score of 2 or higher, and by 36% to 257% for transfusion. The lowest income quartile had significantly higher OR of 1.51 (95% CI, 1.31-1.73) of hospital charges above the median versus the highest quartile. CONCLUSIONS: Payer type, comorbidity, and income were associated with higher health care utilization and complications post-TEA. Further investigation into potentially modifiable mediators is needed.

Hospitalized Infections in People With Osteoarthritis: A National US Study.

OBJECTIVE: To study the incidence, time trends, and outcomes of serious infections in people with osteoarthritis (OA). METHODS: We used 1998-2016 US National Inpatient Sample (NIS) data. Using recommended weights, we examined the epidemiology of 5 types of serious infections requiring hospitalization in people with OA (opportunistic infections [OIs], skin and soft tissue infections [SSTIs], urinary tract infections [UTIs], pneumonia, and sepsis/bacteremia). We performed multivariable-adjusted logistic regression analyses to analyze factors associated with healthcare utilization (hospital charges, length of hospital stay, discharge to nonhome setting), and in-hospital mortality. RESULTS: Of all serious infection hospitalizations, 46,708,154 were without OA and 3,258,416 had OA. People with OA were 16.4 years older, more likely to be female (52% vs 65%), White (59% vs 70%), have a Deyo-Charlson Comorbidity Index (DCCI) ≥ 2 (42% vs 51%), receive Medicare (54% vs 80%), and less likely to receive care at an urban teaching hospital (45% vs 39%). Serious infection rates per 100,000 NIS hospitalizations increased from the study period of 1998-2000 to 2015-2016: OI (from 4.5 to 7.2); SSTI (from 48.4 to 145.9); UTI (from 8.4 to 104.6); pneumonia (from 164.0 to 224.3); and sepsis (from 39.4 to 436.3). In multivariable-adjusted analyses, older age, higher DCCI, sepsis, northeast region, urban hospital, and medium or large hospital bed size were significantly associated with higher healthcare utilization outcomes and in-hospital mortality; Medicaid insurance, non-White race, and female sex were significantly associated with higher healthcare utilization. CONCLUSION: Serious infection rates have increased in people with OA. Association of demographic, clinic, and hospital variables with serious infection outcomes identifies potential targets for future interventions.

Burden of Neurological Disorders Across the US From 1990-2017: A Global Burden of Disease Study.

Importance: Accurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US. Objective: To present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017. Design, Setting, and Participants: This is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus. Exposures: Any of the 14 listed neurological diseases. Main Outcome and Measure: Absolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated. Results: The 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (-29.1% [95% UI, -32.4% to -25.8%]); spinal cord injury prevalence (-38.5% [95% UI, -43.1% to -34.0%]); meningitis prevalence (-44.8% [95% UI, -47.3% to -42.3%]), deaths (-64.4% [95% UI, -67.7% to -50.3%]), and DALYs (-66.9% [95% UI, -70.1% to -55.9%]); and encephalitis DALYs (-25.8% [95% UI, -30.7% to -5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus. Conclusions and Relevance: There is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.

Hospitalized Infections in Lupus: A Nationwide Study of Types of Infections, Time Trends, Health Care Utilization, and In-Hospital Mortality.

OBJECTIVE: To examine the time trends in hospitalized infections in patients with systemic lupus erythematosus (SLE), and the factors associated with health care utilization and in-hospital mortality. METHODS: US National Inpatient Sample data from 1998-2016 were used to examine the epidemiology, time trends, and outcomes of 5 common hospitalized infections in patients with SLE, namely, pneumonia, sepsis/bacteremia, urinary tract infection (UTI), skin and soft tissue infections (SSTIs), and opportunistic infections (OIs). Time trends were compared using the Cochran-Armitage test. Multivariable-adjusted logistic regression models were used to examine the factors associated with health care utilization (hospital stay >3 days, hospital charges above the median, or discharge to a nonhome setting) and in-hospital mortality. RESULTS: Hospitalization rates per 100,000 claims among SLE patients in 1998-2000 versus in 2015-2016 were as follows: for OIs, 1.13 versus 1.61 (1.2-fold increase); for SSTIs, 4.78 versus 12.2 (2.5-fold increase); for UTI, 1.94 versus 6.12 (3.2-fold increase); for pneumonia, 15.09 versus 17.05 (1.1-fold increase); and for sepsis, 6.31 versus 39.64 (6.3-fold increase). In 2011-2012, sepsis surpassed pneumonia as the most common hospitalized infection in patients with SLE. In multivariable-adjusted models, a diagnosis of sepsis, older age, a Deyo-Charlson common comorbidities score of ≥2, having Medicare or Medicaid insurance, and urban hospital location were significantly associated with increased odds of in-hospital mortality and with all health care utilization outcomes. African American race was significantly associated with increased odds of health care utilization. CONCLUSION: The results of this study indicate that the rates of hospitalized infections increased over time in patients with SLE, and that pneumonia was surpassed by sepsis as the most common hospitalized infection. In addition, associations of risk factors with poorer outcomes were identified. These findings may help inform patients, providers, and policy makers with regard to the burden of infection in SLE, and could lead to interventions/pathways to improve outcomes.

Gender and Ethnic Inequities in Gout Burden and Management.

Although effective and low-cost urate-lowering therapy has been available for decades, inequities in gout management exist. Despite high impact of disease, rates of urate-lowering therapy prescription are low in women, in African-Americans in the United States, in Maori (Indigenous New Zealanders), and in Pacific peoples living in Aotearoa/New Zealand. Social determinants of health, barriers to accessing the health care system, health literacy demands, stigmatization, and bias contribute to inequities in gout burden and management. Approaches that focus on building health literacy and delivering culturally safe care lead to improved outcomes in gout, and offer important solutions to achieve health equity.

Serious infections in people with systemic sclerosis: a national US study.

OBJECTIVE: To study incidence, time trends, and outcomes of serious infections in systemic sclerosis (SSc). METHODS: We used the 1998-2016 US National Inpatient Sample data. We examined the epidemiology, time trends, and outcomes of five serious infections (opportunistic infections (OI), skin and soft tissue infections (SSTI), urinary tract infection (UTI), pneumonia, and sepsis/bacteremia) in hospitalized people with SSc. We performed multivariable-adjusted logistic regression analyses to analyze independent association of factors with healthcare utilization (hospital charges, length of hospital stay, discharge to non-home setting) and in-hospital mortality. RESULTS: There were 49,904,955 hospitalizations with serious infections in people without SSc and 61,615 in those with SSc. During 1998-2016, the most common serious infections in SSc were pneumonia (45%), sepsis (32%), SSTI (19%), UTI (3%), and OI (3%). In 2013-2014, sepsis surpassed pneumonia as the most common serious infection; by 2015-2016, sepsis was 1.8 times more common than pneumonia. Over the study period, hospital charges increased, while length of hospital stay and in-hospital mortality decreased, overall and for each serious infection. Multivariable-adjusted analyses showed that sepsis, age ≥ 80 years, and Deyo-Charlson score ≥ 2 were associated with significantly higher odds of healthcare utilization and in-hospital mortality, and Medicare or Medicaid insurance payer, Northeast location, urban teaching or non-teaching hospital, and medium or large hospital bed size with significantly higher odds of healthcare utilization. CONCLUSIONS: Outcomes in people with SSc hospitalized with serious infections have improved over time, except higher hospital charges. Identification of factors associated with higher healthcare utilization and in-hospital mortality allows for developing interventions to improve outcomes.

The Burden of Skin and Subcutaneous Diseases in the United States From 1990 to 2017.

Importance: Skin and subcutaneous diseases affect the health of millions of individuals in the US. Data are needed that highlight the geographic trends and variations of skin disease burden across the country to guide health care decision-making. Objective: To characterize trends and variations in the burden of skin and subcutaneous tissue diseases across the US from 1990 to 2017. Design, Setting, and Participants: For this cohort study, data were obtained from the Global Burden of Disease (GBD), a study with an online database that incorporates current and previous epidemiological studies of disease burden, and from GBD 2017, which includes more than 90 000 data sources such as systematic reviews, surveys, population-based disease registries, hospital inpatient and outpatient data, cohort studies, and autopsy data. The GBD separated skin conditions into 15 subcategories according to incidence, prevalence, adequacy of data, and standardized disease definitions. GBD 2017 also estimated the burden from melanoma of the skin and keratinocyte carcinoma. Data analysis for the present study was conducted from September 9, 2019, to March 31, 2020. Main Outcomes and Measures: Primary study outcomes included age-standardized disability-adjusted life-years (DALYs), incidence, and prevalence. The data were stratified by US states with the highest and lowest age-standardized DALY rate per 100 000 people, incidence, and prevalence of each skin condition. The percentage change in DALY rates in each state was calculated from 1990 to 2017. Results: Overall, age-standardized DALY rates for skin and subcutaneous diseases increased from 1990 (821.6; 95% uncertainty interval [UI], 570.3-1124.9) to 2017 (884.2; 95% UI, 614.0-1207.9) in all 50 states and the District of Columbia. The degree of increase varied according to geographic location, with the largest percentage change of 0.12% (95% UI, 0.09%-0.15%) in New York and the smallest percentage change of 0.04% (95% UI, 0.02%-0.07%) in Colorado, 0.04% (95% UI, 0.01%-0.06%) in Nevada, 0.04% (95% UI, 0.02%-0.07%) in New Mexico, and 0.04% (95% UI, 0.02%-0.07%) in Utah. The age-standardized DALY rate, incidence, and prevalence of specific skin conditions differed among the states. New York had the highest age-standardized DALY rate for skin and subcutaneous disease in 2017 (1097.0 [95% UI, 764.9-1496.1]), whereas Wyoming had the lowest age-standardized DALY rate (672.9 [95% UI, 465.6-922.3]). In all 50 states and the District of Columbia, women had higher age-standardized DALY rates for overall skin and subcutaneous diseases than men (women: 971.20 [95% UI, 676.76-1334.59] vs men: 799.23 [95% UI, 559.62-1091.50]). However, men had higher DALY rates than women for malignant melanoma (men: 80.82 [95% UI, 51.68-123.18] vs women: 42.74 [95% UI, 34.05-70.66]) and keratinocyte carcinomas (men: 37.56 [95% UI, 29.35-49.52] vs women: 14.42 [95% UI, 10.01-20.66]). Conclusions and Relevance: Data from the GBD suggest that the burden of skin and subcutaneous disease was large and that DALY rate trends varied across the US; the age-standardized DALY rate for keratinocyte carcinoma appeared greater in men. These findings can be used by states to target interventions and meet the needs of their population.