Publications

BACKGROUND AND OBJECTIVES

Respiratory illnesses are the leading cause of pediatric hospitalizations in the United States, and a major focus of efforts to improve quality of care. Understanding factors associated with poor outcomes will allow better targeting of interventions for improving care. The objective of this study was to identify patient and hospital factors associated with prolonged length of stay (LOS) or complications during pediatric hospitalizations for asthma or lower respiratory infection (LRI).

METHODS

Cross-sectional study of hospitalizations of patients <18 years with asthma or LRI (bronchiolitis, influenza, or pneumonia) by using the nationally representative 2012 Kids Inpatient Database. We used multivariable logistic regression models to identify factors associated with prolonged LOS (>90th percentile) or complications (noninvasive ventilation, mechanical ventilation, or death).

RESULTS

For asthma hospitalizations(n = 85 320), risks for both prolonged LOS and complications were increased with each year of age (adjusted odds ratio [AOR] 1.06, 95% confidence interval [CI] 1.05-1.07; AOR 1.05, 95% CI 1.03-1.07, respectively for each outcome) and in children with chronic conditions (AOR 4.87, 95% CI 4.15-5.70; AOR 21.20, 95% CI 15.20-29.57, respectively). For LRI hospitalizations (n = 204 950), risks for prolonged LOS and complications were decreased with each year of age (AOR 0.98, 95% CI 0.97-0.98; AOR 0.95, 95% CI 0.94-0.96, respectively) and increased in children with chronic conditions (AOR 9.86, 95% CI 9.03-10.76; AOR 56.22, 95% CI 46.60-67.82, respectively). Risks for prolonged LOS for asthma were increased in large hospitals (AOR 1.67, 95% CI 1.32-2.11) and urban-teaching hospitals (AOR 1.62, 95% CI 1.33-1.97).

CONCLUSIONS

Older children with asthma, younger children with LRI, children with chronic conditions, and those hospitalized in large urban-teaching hospitals are more vulnerable to prolonged LOS and complications. Future research and policy efforts should evaluate and support interventions to improve outcomes for these high-risk groups (eg, hospital-based care coordination for children with chronic conditions).

RATIONALE

Age and sex are associated with differences in asthma prevalence and morbidity.

OBJECTIVES

To determine if age and sex associate with distinct phenotypes and a variable response to therapy in subjects with mild to moderate asthma.

METHODS

We used Asthma Clinical Research Network data to determine the impact of age and sex on phenotypes and treatment failures among subjects participating in 10 trials from 1993 to 2003.

MEASUREMENTS AND MAIN RESULTS

A total of 1,200 subjects were identified (median age, 30.4 yr; male, 520 [43.3%]; female, 680 [56.7%]) and analyzed. A higher proportion of subjects greater than or equal to 30 years old experienced treatment failures (17.3% vs. 10.3%; odds ratio [OR], 1.82; confidence interval [CI], 1.30-2.54; P < 0.001), and rates increased proportionally with increasing age older than 30 across the cohort (OR per yr, 1.02 [CI, 1.01-1.04]; OR per 5 yr, 1.13 [CI, 1.04-1.22]; P < 0.001). Lower lung function and longer duration of asthma were associated with a higher risk of treatment failures. A higher proportion of subjects greater than or equal to 30 years old receiving controller therapy experienced treatment failures. When stratified by specific therapy, treatment failures increased consistently for every year older than age 30 in subjects on inhaled corticosteroids (OR per year, 1.03; CI, 1.01-1.07). Females had a slightly higher FEV1 % predicted (84.5% vs. 81.1%; P < 0.001) but similar asthma control measures. There was not a statistically significant difference in treatment failures between females and males (15.2% vs. 11.7%; P = 0.088).

CONCLUSIONS

Older age is associated with an increased risk of treatment failure, particularly in subjects taking inhaled corticosteroids. There was no significant difference in treatment failures between sexes.

PURPOSE

Inconsistent access to healthcare represents a barrier to transgender patients receiving hormone therapy through a licensed provider. Inability to access care leads many transgender people to buy hormones from unlicensed sources and transition without medical supervision. Little is known about the factors predisposing people to rely on this method of transition. It is critical to understand what leads to non-prescribed hormone use to better support safe medical transitions for transgender people.

METHODS

We conducted an analysis of a study with 314 transwomen in San Francisco from August-December 2010, using Respondent Driven Sampling (RDS). The study collected information on demographics, hormone use, gender identity milestones, violence and trauma experienced due to gender identity, substance use, sexually transmitted infections, law enforcement contact and sexual behaviors. We evaluated whether these demographic and behavioral characteristics were correlated in the following outcomes: taking hormones not prescribed by providers and taking hormones consistently without interruptions.

RESULTS

Data demonstrate that 68.7% of transwomen were currently on hormone replacement therapy (HRT) but only 41% reported being on hormones consistently. In addition, 49.1% reported taking hormones for HRT not prescribed by a clinician. Consistent hormone use was independently and positively associated with being born in the United States, having contact with a health care provider, and currently living full-time as a female. Those who reported ever being forced to have sex or having been raped had 60% lower odds of being consistently on hormones. We found greater odds of non-prescribed hormone use among participants who had gender confirmation surgery and among those who had experienced verbal abuse due to their gender identity and presentation.

CONCLUSION

Non-prescribed HRT in transwomen is a common and poorly characterized phenomenon. Increasing access to healthcare (with culturally-competent, affordable, and accessible providers) is crucial to assuring trans people are able to have safe, consistent access to the hormones they need.

BACKGROUND

The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development.

METHODS

We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time.

FINDINGS

Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries.

INTERPRETATION

Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.

FUNDING

Bill & Melinda Gates Foundation.