Dataset Information

Infectious Disease Hospitalizations: United States, 2001 to 2014.

ABSTRACT: BACKGROUND:Infectious disease epidemiology has changed over time, reflecting improved clinical interventions and emergence of threats such as antimicrobial resistance. This study investigated infectious disease hospitalizations in the United States from 2001 to 2014. METHODS:Estimated rates of infectious disease hospitalizations were calculated by using the National (Nationwide) Inpatient Sample. Infectious disease hospitalizations were defined as hospitalizations with a principal discharge diagnosis of an infectious disease. Diagnoses according to site of infection and sepsis were examined, as was occurrence of in-hospital death. The leading nonsepsis infectious disease secondary diagnoses for hospitalizations with a principal diagnosis of sepsis were identified. RESULTS:The mean annual age-adjusted infectious disease hospitalization rate was 1,468.2 (95% CI, 1,459.9-1,476.4) per 100,000 population; in-hospital death occurred in 4.22% (95% CI, 4.18-4.25) of infectious disease hospitalizations. The mean annual age-adjusted infectious disease hospitalization rate increased from 2001-2003 to 2012-2014 (rate ratio, 1.05; 95% CI, 1.01-1.09), as did the percentage of in-hospital death (4.21% [95% CI, 4.13-4.29] to 4.30% [95% CI, 4.26-4.35]; P = .049). The diagnoses with the highest hospitalization rates among all sites of infection and sepsis diagnoses were the lower respiratory tract followed by sepsis. The most common nonsepsis infectious disease secondary diagnoses among sepsis hospitalizations were "urinary tract infection," "pneumonia, organism unspecified," and "intestinal infection due to Clostridium [Clostridioides] difficile." CONCLUSIONS:Although hospital discharge data are subject to limitations, particularly for tracking sepsis, lower respiratory tract infections and sepsis seem to be important contributors to infectious disease hospitalizations. Prevention of infections that lead to sepsis and improvements in sepsis management would decrease the burden of infectious disease hospitalizations and improve outcomes, respectively.

SUBMITTER: Kennedy JL

PROVIDER: S-EPMC6696939 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Infectious Disease Hospitalizations: United States, 2001 to 2014.

Kennedy Jordan L JL Haberling Dana L DL Huang Chaorui C CC Lessa Fernanda C FC Lucero David E DE Daskalakis Demetre C DC Vora Neil M NM

Chest 20190429 2

<h4>Background</h4>Infectious disease epidemiology has changed over time, reflecting improved clinical interventions and emergence of threats such as antimicrobial resistance. This study investigated infectious disease hospitalizations in the United States from 2001 to 2014.<h4>Methods</h4>Estimated rates of infectious disease hospitalizations were calculated by using the National (Nationwide) Inpatient Sample. Infectious disease hospitalizations were defined as hospitalizations with a principal ...[more]

PMID: 31047954

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Project description:ImportanceEye trauma is a common cause of vision loss and a substantial public health problem.ObjectiveTo determine the changes in the incidence of eye trauma hospitalizations in the United States and compare the demographics of affected patients and outcomes of eye trauma as a primary or secondary admitting diagnosis.Design, setting, and participantsThis retrospective longitudinal cohort study used the National Inpatient Sample, a representative sample of all US community hospitals, to determine the incidence, characteristics, and causes of primary and secondary inpatient eye trauma admissions from 2001 through 2014. All inpatients with relevant diagnoses were included. Linear regression was used to estimate changes in incidence. Logistic regression was used to compare demographics and outcomes between primary and secondary diagnoses, including age, sex, race, income, primary payer, region, year of admission, length of stay, cost, and disposition at discharge.ExposuresEye trauma.Main outcomes and measuresIncidence and characteristics of inpatient primary and secondary eye trauma.ResultsFrom 2001 to 2014, there were an estimated 939 608 inpatient admissions (of whom 556 886 were male patients [59.3%]; overall mean [SD] age, 49.4 [25.2] years) in the United States because of eye trauma diagnoses, with 778 967 of these (82.9%) as a secondary diagnosis. The incidence of primary eye trauma decreased from 3.9 to 3.0 per 100 000 population (difference, 0.9 [95% CI, 0.2-1.6] per 100 000 population; P = .001). The incidence of eye trauma as a secondary admitting diagnosis increased from 14.5 to 19.0 per 100 000 population (difference, 4.5 [95% CI, 1.9-7.2] per 100 000 population; P = .004). This was largely attributed to an increasing number of falls in individuals older than 65 years. The most frequent diagnosis was orbital fracture (64 149 [39.9%]) for primary trauma and contusion of eye and adnexa (19 301 [37.8%]) for secondary trauma. Primary trauma was more common in children (adjusted odds ratio [aOR], 2.21 [95% CI, 2.09-2.32]) and adolescents (aOR, 1.25 [95% CI, 1.19-1.32]) than adults (reference), African American individuals (aOR, 1.89 [95% CI, 1.81-1.97]) and Hispanic individuals (aOR, 1.52 [95% CI, 1.45-1.59]) than white individuals, and uninsured patients (aOR, 1.14 [95% CI, 1.07-1.22]) and those receiving Medicaid (aOR, 1.12 [95% CI, 1.05-1.19]) than Medicare beneficiaries. Patients with a primary diagnosis were more likely to have a stay of less than 3 days (patients with a primary diagnosis: 101 796 [63.4%]; secondary diagnosis: 274 538 [35.2%]), more likely to have costs in the lowest quartile (patients with a primary diagnosis: 51 212 [31.9%]; secondary diagnosis: 166 260 [21.3%]), and less likely to die (patients with a primary diagnosis: 526 [0.3%]; secondary diagnosis: 20 929 [2.7%]).Conclusions and relevanceThese findings suggest that the increasing number of falls in individuals older than 65 years and the high risk of primary eye trauma in populations such as children and adolescents warrant the development and implementation of effective preventive strategies. Many of these patients are seen in ophthalmology practices where proactive risk assessment and counseling can play a critical role.

Project description:ImportanceThe relationship between income and life expectancy is well established but remains poorly understood.ObjectivesTo measure the level, time trend, and geographic variability in the association between income and life expectancy and to identify factors related to small area variation.Design and settingIncome data for the US population were obtained from 1.4 billion deidentified tax records between 1999 and 2014. Mortality data were obtained from Social Security Administration death records. These data were used to estimate race- and ethnicity-adjusted life expectancy at 40 years of age by household income percentile, sex, and geographic area, and to evaluate factors associated with differences in life expectancy.ExposurePretax household earnings as a measure of income.Main outcomes and measuresRelationship between income and life expectancy; trends in life expectancy by income group; geographic variation in life expectancy levels and trends by income group; and factors associated with differences in life expectancy across areas.ResultsThe sample consisted of 1,408,287,218 person-year observations for individuals aged 40 to 76 years (mean age, 53.0 years; median household earnings among working individuals, $61,175 per year). There were 4,114,380 deaths among men (mortality rate, 596.3 per 100,000) and 2,694,808 deaths among women (mortality rate, 375.1 per 100,000). The analysis yielded 4 results. First, higher income was associated with greater longevity throughout the income distribution. The gap in life expectancy between the richest 1% and poorest 1% of individuals was 14.6 years (95% CI, 14.4 to 14.8 years) for men and 10.1 years (95% CI, 9.9 to 10.3 years) for women. Second, inequality in life expectancy increased over time. Between 2001 and 2014, life expectancy increased by 2.34 years for men and 2.91 years for women in the top 5% of the income distribution, but by only 0.32 years for men and 0.04 years for women in the bottom 5% (P < .001 for the differences for both sexes). Third, life expectancy for low-income individuals varied substantially across local areas. In the bottom income quartile, life expectancy differed by approximately 4.5 years between areas with the highest and lowest longevity. Changes in life expectancy between 2001 and 2014 ranged from gains of more than 4 years to losses of more than 2 years across areas. Fourth, geographic differences in life expectancy for individuals in the lowest income quartile were significantly correlated with health behaviors such as smoking (r = -0.69, P < .001), but were not significantly correlated with access to medical care, physical environmental factors, income inequality, or labor market conditions. Life expectancy for low-income individuals was positively correlated with the local area fraction of immigrants (r = 0.72, P < .001), fraction of college graduates (r = 0.42, P < .001), and government expenditures (r = 0.57, P < .001).Conclusions and relevanceIn the United States between 2001 and 2014, higher income was associated with greater longevity, and differences in life expectancy across income groups increased over time. However, the association between life expectancy and income varied substantially across areas; differences in longevity across income groups decreased in some areas and increased in others. The differences in life expectancy were correlated with health behaviors and local area characteristics.

Project description:An estimated 300,000 cases of Lyme disease occur in the United States annually. Disseminated Lyme disease may result in carditis, arthritis, facial palsy or meningitis, sometimes requiring hospitalization. We describe the epidemiology and cost of Lyme disease-related hospitalizations. We analysed 2005-2014 data from the Truven Health Analytics MarketScan Commercial Claims and Encounters Databases to identify inpatient records associated with Lyme disease based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. We estimated the annual number and median cost of Lyme disease-related hospitalizations in the United States in persons under 65 years of age. Costs were adjusted to reflect 2016 dollars. Of 20,983,165 admission records contained in the inpatient databases during the study period, 2,823 (0.01%) met inclusion criteria for Lyme disease-related hospitalizations. Over half of the identified records contained an ICD-9-CM code for meningitis (n = 614), carditis (n = 429), facial palsy (n = 400) or arthritis (n = 377). Nearly 60% of hospitalized patients were male. The median cost per Lyme disease-related hospitalization was $11,688 (range: $140-$323,613). The manifestation with the highest median cost per stay was carditis ($17,461), followed by meningitis ($15,177), arthritis ($13,012) and facial palsy ($10,491). Median cost was highest among the 15- to 19-year-old age group ($12,991). Admissions occurring in January had the highest median cost ($13,777) for all study years. Based on extrapolation to the U.S. population, we estimate that 2,196 Lyme disease-related hospitalizations in persons under 65 years of age occur annually with an estimated annual cost of $25,826,237. Lyme disease is usually treated in an outpatient setting; however, some patients with Lyme disease require hospitalization, underscoring the need for effective prevention methods to mitigate these serious cases. Information from this analysis can aid economic evaluations of interventions that prevent infection and advances in disease detection.

Project description:Importance:Cataract surgery is commonly performed at ambulatory surgery centers (ASCs) and hospital outpatient departments (HOPDs). These venues differ in many ways, including surgical efficiency, patient throughput, patient safety, and costs per surgery. Objective:To determine trends in use of ASCs and HOPDs for cataract surgery from 2001 to 2014 and factors affecting the site of surgery. Design, Setting, and Participants:This retrospective longitudinal cohort analysis involved individuals 40 years and older who underwent cataract surgery between January 2001 and December 2014 from a nationwide US managed care network. Data were analyzed from February 2016 to February 2017. Main Outcomes and Measures:We identified all enrollees who underwent cataract surgery and determined whether the surgery was performed at an ASC or HOPD. We calculated the proportion of surgeries performed at each site each year from 2001 to 2014. Multivariable logistic regression identified characteristics of enrollees who had cataract surgery at an ASC vs a HOPD. We also assessed geographic variation in the proportion of cataract surgeries performed at ASCs in 306 communities throughout the United States. Results:Of the 369 320 enrollees included in this study, 208 319 (56.4%) were female, and the mean (SD) age was 66.3 (10.4) years. All enrollees underwent cataract surgery (531 325 surgeries) from 2001 to 2014. Of these, 237 046 (64.2%) underwent cataract surgery at an ASC. The proportion of cataract surgeries performed at ASCs increased from 43.6% in 2001 to 73.0% in 2014. Compared with enrollees with incomes less than $40 000, those with incomes greater than $100 000 were 20% more likely to undergo cataract surgery at an ASC (odds ratio, 1.20; 95% CI, 1.12-1.29). Enrollees with better overall health were no more likely to undergo cataract surgery at an ASC (odds ratio, 1.00; 95% CI, 0.99-1.00) than at an HOPD. Enrollees who lived in communities without certificate of need laws were more than twice as likely to have surgery at an ASC (odds ratio, 2.49; 95% CI, 2.35-2.63). The proportion of cataract surgeries performed at ASCs from 2012 to 2014 varied considerably, from 1.6% in La Crosse, Wisconsin, to 98.8% in Pueblo, Colorado. Conclusions and Relevance:We observed a large shift in the site of cataract surgery from HOPDs to ASCs from 2001 to 2014. Future research is needed to assess the effect of this transition in site of surgical care on patient access to surgery, surgical outcomes, patient safety, and societal costs.

Dataset Information

Infectious Disease Hospitalizations: United States, 2001 to 2014.

Publications

Infectious Disease Hospitalizations: United States, 2001 to 2014.

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