Lower vs Higher Oxygenation Target and Days Alive Without Life Support in COVID-19: The HOT-COVID Randomized Clinical Trial.

Importance: Supplemental oxygen is ubiquitously used in patients with COVID-19 and severe hypoxemia, but a lower dose may be beneficial. Objective: To assess the effects of targeting a Pao2 of 60 mm Hg vs 90 mm Hg in patients with COVID-19 and severe hypoxemia in the intensive care unit (ICU). Design, Setting, and Participants: Multicenter randomized clinical trial including 726 adults with COVID-19 receiving at least 10 L/min of oxygen or mechanical ventilation in 11 ICUs in Europe from August 2020 to March 2023. The trial was prematurely stopped prior to outcome assessment due to slow enrollment. End of 90-day follow-up was June 1, 2023. Interventions: Patients were randomized 1:1 to a Pao2 of 60 mm Hg (lower oxygenation group; n = 365) or 90 mm Hg (higher oxygenation group; n = 361) for up to 90 days in the ICU. Main Outcomes and Measures: The primary outcome was the number of days alive without life support (mechanical ventilation, circulatory support, or kidney replacement therapy) at 90 days. Secondary outcomes included mortality, proportion of patients with serious adverse events, and number of days alive and out of hospital, all at 90 days. Results: Of 726 randomized patients, primary outcome data were available for 697 (351 in the lower oxygenation group and 346 in the higher oxygenation group). Median age was 66 years, and 495 patients (68%) were male. At 90 days, the median number of days alive without life support was 80.0 days (IQR, 9.0-89.0 days) in the lower oxygenation group and 72.0 days (IQR, 2.0-88.0 days) in the higher oxygenation group (P = .009 by van Elteren test; supplemental bootstrapped adjusted mean difference, 5.8 days [95% CI, 0.2-11.5 days]; P = .04). Mortality at 90 days was 30.2% in the lower oxygenation group and 34.7% in the higher oxygenation group (risk ratio, 0.86 [98.6% CI, 0.66-1.13]; P = .18). There were no statistically significant differences in proportion of patients with serious adverse events or in number of days alive and out of hospital. Conclusion and Relevance: In adult ICU patients with COVID-19 and severe hypoxemia, targeting a Pao2 of 60 mm Hg resulted in more days alive without life support in 90 days than targeting a Pao2 of 90 mm Hg. Trial Registration: ClinicalTrials.gov Identifier: NCT04425031.

Eliminating health care inequities through strengthening access to care.

OBJECTIVE: To provide a research agenda and recommendations to address inequities in access to health care. DATA SOURCES AND STUDY SETTING: The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government. STUDY DESIGN: Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations. DATA COLLECTION/EXTRACTION METHODS: Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased. PRINCIPAL FINDINGS: The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access. CONCLUSIONS: AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.

Assessment of the Provider Relief Fund Distribution for Treatment of Uninsured Patients With COVID-19.

This cross-sectional study uses US Health Resources and Services Administration data to assess the distribution of claims reimbursement funds to health care professionals and facilities for uninsured patients with COVID-19.

Societal Costs and Outcomes of Medical and Recreational Marijuana Policies in the United States: A Systematic Review.

Significant support exists in the United States for legalization of marijuana/cannabis. As of 2021, 36 states and four territories approved the legalization of medical cannabis via medical marijuana laws (MMLs), and 15 states and District of Columbia (DC) have adopted recreational marijuana laws (RMLs). We performed structured and systematic searches of articles published from 2010 through September 2021. We assess the literature pertaining to adolescent marijuana use; opioid use and opioid-related outcomes; alcohol use; tobacco use; illicit and other drug use; marijuana growing and cultivation; employment, earnings, and other workplace outcomes; academic achievement and performance; criminal activity; perceived harmfulness; traffic and road safety; and suicide and sexual activity. Overall, 113 articles satisfied our inclusion criteria. Except for opioids, studies on use of other substances (illicit drugs, tobacco, and alcohol) were inconclusive. MMLs and RMLs do not generate negative outcomes in the labor market, lead to greater criminal activity, or reduce traffic and road safety.

Trends in Health Care Utilization and Expenditures in the United States Across 5 Decades: 1977-2017.

BACKGROUND: Health care expenditures in the United States are high and rising, with significant increases over the decades. The delivery, organization, and financing of the health care system has evolved over time due to technological innovation, policy changes, patient preferences, altering payment mechanisms, shifting demographics, and other factors. OBJECTIVE: The objective of this study was to examine trends over time in health care utilization and expenditures in the United States. RESEARCH DESIGN: This analysis employs descriptive statistics to examine 5 decades of health care utilization and expenditure data from the Agency for Healthcare Research and Quality (AHRQ) for 1977-2017. MEASURES: Measures include utilization and expenditures (not charges) for inpatient, emergency department, outpatient physician, outpatient nonphysician, office-based physician, dental, and out-of-pocket retail prescription drugs. RESULTS: We demonstrate that while health care expenditures have increased significantly overall and by type of care, utilization trends are less pronounced. The population of the United States grew 53% between 1977 and 2017, while annual total expenditures on health care increased by 208%. Amidst attention to out-of-pocket exposure for unexpected medical care bills, out-of-pocket payments for care have declined from 32% in 1977 to 12% in 2017 but increased in amount. CONCLUSIONS: This article provides the first extended snapshot of the dynamics of health care utilization and expenditures in the United States. Aspects of health care are much different today than in previous decades, yet the inpatient setting still dominates the expenditures.

The relationships between marijuana use and exercise among young and middle-aged adults.

As decriminalization, increased access, and decreased perception of risk spurs the popularity of medical and recreational marijuana, more information is needed on possible links between marijuana use and social determinants of health. The goal of this study was to assess the relationships between marijuana use and exercise. Data sources included the two most recent waves of the National Longitudinal Study of Adolescent to Adult Health (Wave IV, 2008-2009; N = 14,784 and Wave V, 2016-2018; N = 12,043). The exercise variables included any form of exercise/sport during the past 7 days and the number of days participating in each of 7 types of exercise/sport. Marijuana-use variables comprised any current use and frequency of use during the past 30 days. Both fixed-effects and random-effects models were estimated with numerous control variables, along with binary and count measures of exercise. Results show that, particularly for fixed-effects models, marijuana use is not significantly related to exercise, counter to conventional wisdom that marijuana users are less likely to be active. Indeed, the only significant estimates suggest a positive relationship, even among heavier users during the past 30 days. These findings are at odds with much of the existing literature, which generally shows a negative relationship between marijuana use and exercise. As additional states legalize the medicinal and recreational use of marijuana, perhaps its impact on exercise, one of the leading social determinants of health, is not necessarily a primary concern.

Psychological Distress and Coronavirus Fears During the Initial Phase of the COVID-19 Pandemic in the United States.

INTRODUCTION: The COVID-19 pandemic is a significant health and economic crisis around the world. The U.S. saw a rapid escalation in laboratory-confirmed cases of COVID-19 and related deaths in March, 2020. The financial consequences of a virtual economic shutdown to curb the spread of the coronavirus are widespread and debilitating, with over 30 million Americans (about 20% of the labor force) filing for unemployment benefits since mid-March. During these unprecedented times, it is important to understand the impact of the COVID-19 pandemic on psychological distress and overall fear associated with the virus. DATA: To gain an understanding of the overall levels and predictors of psychological distress experienced in the first month of the COVID-19 pandemic in the U.S., a survey was administered online to over 2,000 individuals residing in the country. The survey instrument was administered between March 22-26, 2020, during which time the country was suffering through a period of exponential growth in COVID-19 cases and fatalities. It was administered via MTurk, a popular crowdsourcing platform increasingly used by social scientists to procure large samples over a brief period of time. A short, valid screening instrument to measure psychological distress in individuals, the Kessler 10 scale was developed in the U.S. in the 1990s as an easy-to-administer symptom assessment. The first dependent variable is the respondents' summated Kessler 10 score. The second dependent variable is a 7-category measure of how afraid the subject is about the novel coronavirus. The final dependent variable is also a 7-category scale, this time measuring self-reported likelihood of contracting the coronavirus. A variety of socio-demographic variables and health status were collected to analyze factors associated with psychological distress and mental health. METHODS: Ordinary Least Squares (OLS) multiple regression was employed to analyze these data. RESULTS: We find that protective factors against psychological distress include age, gender (male), and physical health. Factors exacerbating psychological distress include Hispanic ethnicity and a previous mental illness diagnosis. Similar factors are significantly related to fear of the virus and self-assessed likelihood of contracting it. DISCUSSION: The COVID-19 pandemic is associated with high levels of psychological distress in the U.S. The Kessler 10 mean value in our sample is 21.12, which falls in the likely to experience mild mental illness category, yet is considerably higher compared to one of the largest and earliest benchmark studies validating the scale. Psychological distress is one element of overall mental health status that could be influenced by the COVID-10 pandemic. Other mental health conditions such as depression, anxiety, and substance use disorders could also be affected by the pandemic. We encourage researchers to examine these and other mental health disorders in future research on the COVID-19 pandemic. CONCLUSION: The relatively high mean score (21.12) for psychological distress during early stages of the pandemic suggests government officials, policy-makers, and public health advocates should act quickly to address emerging mental health problems.

Food insecurity, health care utilization, and health care expenditures.

OBJECTIVE: To disentangle the relationships among food insecurity, health care utilization, and health care expenditures. DATA SOURCES/STUDY SETTING: We use national data on 13 465 adults (age ≥ 18) from the 2016 Medical Expenditure Panel Survey (MEPS), the first year of the food insecurity measures. STUDY DESIGN: We employ two-stage empirical models (probit for any health care use/expenditure, ordinary least squares, and generalized linear models for amount of utilization/expenditure), controlling for demographics, health insurance, poverty status, chronic conditions, and other predictors. PRINCIPAL FINDINGS: Our results show that the likelihood of any health care expenditure (total, inpatient, emergency department, outpatient, and pharmaceutical) is higher for marginal, low, and very low food secure individuals. Relative to food secure households, very low food secure households are 5.1 percentage points (P < .001) more likely to have any health care expenditure, and have total health care expenditures that are 24.8 percent higher (P = .011). However, once we include chronic conditions in the models (ie, high blood pressure, heart disease, stroke, emphysema, high cholesterol, cancer, diabetes, arthritis, and asthma), these underlying health conditions mitigate the differences in expenditures by food insecurity status (only the likelihood of any having any health care expenditure for very low food secure households remains statistically significant). CONCLUSIONS: Policy makers and government agencies are focused on addressing deficiencies in social determinants of health and the resulting impacts on health status and health care utilization. Our results indicate that chronic conditions are strongly associated with food insecurity and higher health care spending. Efforts to alleviate food insecurity should consider the dual burden of chronic conditions. Finally, future research can address specific mechanisms underlying the relationships between food security, health, and health care.

Mortality in critical illness: The impact of asymmetric dimethylarginine on survival-A systematic review and meta-analysis.

INTRODUCTION: Asymmetric dimethylarginine (ADMA), an endogenous inhibitor of the nitric oxide system, may be associated with an adverse outcome in critically ill patients. The aim of the present review was to clarify if plasma ADMA and the arginine-to-ADMA ratio (arginine/ADMA) are associated with mortality in critically ill patients. METHODS: We searched PubMed, EMBASE and Web of Science/BIOSIS Previews on 31 July 2017 for studies published after 2000 including critically ill paediatric or adult patients and evaluating any association between all-cause mortality and admission ADMA and/or arginine/ADMA ratio. We pooled data from studies providing sufficient data in random effects meta-analyses. RESULTS: We identified 15 studies including a total of 1300 patients. These studies have a medium to high risk of bias and substantial clinical heterogeneity. After contacting authors for homogenous data, six studies including 705 patients could be included in a formal meta-analysis. This analysis revealed a strong association between high plasma ADMA upon admission and mortality (pooled odds ratio 3.13; 95% confidence interval (CI) 1.78-5.51). A significant association between ADMA/arginine ratio and mortality was found in two studies only (54 patients) out of a total of six studies (564 patients). CONCLUSIONS: A high plasma ADMA level upon admission is strongly associated with mortality in critically ill patients. However, there is no association between the arginine/ADMA ratio and mortality in this group of patients. The pathophysiological role of ADMA in circulatory collapse and its potential as a target for intervention remains to be explored.

Are tattoos associated with negative health-related outcomes and risky behaviors?

BACKGROUND: Tattoos have reached broadening mainstream acceptance. Medical professional societies have noted that tattoos may co-occur with high risk behaviors. METHODS: Using a variety of statistical models applied to a sample of 2,008 adults residing in the United States via Amazon's Mechanical Turk, we estimate the associations between tattoo characteristics, three health-related outcomes (overall health status, ever diagnosed with a mental health issue, sleep problems), and three risky behaviors (current smoking, ever spent time in jail or prison, and number of sex partners). RESULTS: We find that the presence, number, and specific features of tattoos are positively correlated with two of the health-related outcomes (ever diagnosed with a mental health issue and trouble sleeping) and all three of the risky behaviors (P < .05). Magnitudes are larger for those with multiple, visible, and offensive tattoos. CONCLUSIONS: Our results suggest that individuals with tattoos are more likely to engage in risky behaviors relative to their non-tattooed counterparts, which may lead to health consequences. Dermatologists, healthcare providers, and public health advocates should recognize that having a tattoo(s) is a potential marker for mental health issues and risky behaviors.

Variation of preventive service utilization by state Medicaid coverage, cost-sharing, and Medicaid expansion status.

Preventive services can help reduce costs associated with chronic conditions. Medicaid beneficiaries have high rates of chronic conditions, but state Medicaid coverage and cost-sharing of preventive services varies widely. States that chose to expand Medicaid under the ACA were incentivized to cover recommended preventive services at no cost-sharing. This study evaluates whether state Medicaid policy and Medicaid expansion were associated with overall utilization, and disparities in utilization of preventive services among vulnerable populations. We used Medicaid policy data from Kaiser Family Foundation and MEPS data (2009-2014, n = 15,610), collected and analyzed in 2017. We used multivariable logistic regression, difference-in-differences, and difference-in-difference-in-differences models to examine the association between state Medicaid preventive service policy and Medicaid expansion on overall utilization, and disparities in utilization among race/ethnicity and income groups for blood pressure check, cholesterol screening, and flu shot. Medicaid coverage of flu shot was significantly associated with utilization (p < 0.001). Medicaid expansion significantly increased flu shot utilization among near-poor individuals (p < 0.01), Asians, and Latinos and blood pressure screening among African Americans (p < 0.05). For flu shot, the ACA is reaching its target audience: those in the coverage gap between Medicaid and private insurance. Increasing access to preventive services may not be enough to increase utilization, especially for vulnerable populations and/or the previously uninsured. Focusing on provider adherence to preventive service guidelines and education around who is eligible for what service and when could help increase utilization of preventive services in the future.

Medicaid Managed Care in Florida and Racial and Ethnic Disparities in Preventable Emergency Department Visits.

BACKGROUND: In an effort to address health care spending growth, coordinate care, and improve access to primary care in the Medicaid program, Florida implemented the Statewide Mandatory Managed Care (SMMC) program in May of 2014. OBJECTIVES: The objective of this study is to investigate the impact of implementation of mandatory managed care in Medicaid on the preventable emergency department (ED) utilizations, with a focus on racial/ethnic minorities. RESEARCH DESIGN: The primary data source is the universe of Florida ED visit and inpatient discharge data from 2010 to 2015, maintained by the Florida Agency for Health Care Administration. We adopt the New York University Billing's ED Classification Algorithm to create measures for preventable ED visits. Using difference-in-differences estimation, we examine preventable ED visits for Florida residents aged 18-64 with a primary payer of Medicaid (treatment group) and private health insurance (control group) pre-SMMC and post-SMMC reform. RESULTS: Our findings show that SMMC is statistically significantly associated with more reductions in preventable ED visits among non-Hispanic African American (incidence rate ratio=0.81; 95% confidence interval, 0.70-0.94) and Hispanic (incidence rate ratio=0.72; 95% CI, 0.60-0.87) Medicaid enrollees relative to their white counterparts. We also find significant reduction of racial/ethnic disparities only in counties with above median preimplementation Medicaid managed care penetration rate. CONCLUSIONS: Our findings suggest that implementation of Medicaid mandatory managed care in Florida is associated with reduced racial/ethnic disparities in preventable ED visits.

Global budgets in Maryland: early evidence on revenues, expenses, and margins in regulated and unregulated services.

Maryland implemented one of the most aggressive payment innovations the nation has seen in several decades when it introduced global budgets in all its acute care hospitals in 2014. Prior to this, a pilot program, total patient revenue (TPR), was established for 8 rural hospitals in 2010. Using financial hospital report data from the Health Services Cost Review Commission from 2007 to 2013, we examined the hospitals' financial results including revenue, costs, and profit/loss margins to explore the impact of the adoption of the TPR pilot global budget program relative to the remaining hospitals in the state. We analyze financial results for both regulated (included in the global budget and subject to rate-setting) and unregulated services in order to capture a holistic image of the hospitals' actual revenue, cost and margin structures. Common size and difference-in-differences analyses of the data suggest that regulated profit ratios for treatment hospitals increased (from 5% in 2007 to 8% in 2013) and regulated expense-to-gross patient revenue ratios decreased (75% in 2007 and 68% in 2013) relative to the controls. Simultaneously, the profit margins for treatment hospitals' unregulated services decreased (- 12% in 2007 and - 17% in 2013), which reduced the overall margin significantly. This analysis therefore indicates cost shifting and less profit gain from the program than identified by solely focusing on the regulated margins.

Self-reported Health Status Differs for Amazon's Mechanical Turk Respondents Compared With Nationally Representative Surveys.

BACKGROUND: Amazon's Mechanical Turk (MTurk) platform has become a data source for peer-reviewed academic research publications, with over 24,000 Google Scholar search results. Although well-developed and supportive in other disciplines, the literature in health and medicine comparing results from samples generated on MTurk to gold standard, nationally representative health and medical surveys is beginning to emerge. OBJECTIVE: To compare the demographic, socioeconomic, and self-reported health status variables in an MTurk sample to those from 2 prominent national probability surveys, including the Medical Expenditure Panel Survey (MEPS) and the Behavioral Risk Factor Surveillance System (BRFSS). RESEARCH DESIGN: We analyze weighted and unweighted tabulations of the MTurk, MEPS, and BRFSS. Wald tests identify statistical significance. MEASURES: Demographic, socioeconomic, and health status variables in an adult MTurk sample collected in 2016 (n=1916), the 2015 MEPS household survey component (n=21,210), and the 2015 BRFSS (n=283,502). RESULTS: Our findings indicate statistically significant differences in the demographic, socioeconomic, and self-perceived health status tabulations in the MTurk sample relative to the unweighted and weighted MEPS and BRFSS. The MTurk sample is more likely to be female (65.8% in MTurk, 50.9% in MEPS, 50.2% in BRFSS), white (80.1% in MTurk, 76.9% in MEPS, and 73.9% in BRFSS), non-Hispanic (91.1%, 82.4%, and 81.4%, respectively), younger, and less likely to report excellent health status (6.8% in MTurk, 28.3% in MEPS, and 20.2% in BRFSS). CONCLUSIONS: We find significant differences across variables that warrant hesitation in using MTurk data as a replacement for the gold standard datasets in health services research.

Comparing Amazon's Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature.

BACKGROUND: The goal of this article is to conduct an assessment of the peer-reviewed primary literature with study objectives to analyze Amazon.com 's Mechanical Turk (MTurk) as a research tool in a health services research and medical context. METHODS: Searches of Google Scholar and PubMed databases were conducted in February 2017. We screened article titles and abstracts to identify relevant articles that compare data from MTurk samples in a health and medical context to another sample, expert opinion, or other gold standard. Full-text manuscript reviews were conducted for the 35 articles that met the study criteria. RESULTS: The vast majority of the studies supported the use of MTurk for a variety of academic purposes. DISCUSSION: The literature overwhelmingly concludes that MTurk is an efficient, reliable, cost-effective tool for generating sample responses that are largely comparable to those collected via more conventional means. Caveats include survey responses may not be generalizable to the US population.

Mandatory Statewide Medicaid Managed Care in Florida and Hospitalizations for Ambulatory Care Sensitive Conditions.

OBJECTIVE: To investigate the impact of implementation of the Statewide Medicaid Managed Care (SMMC) program in Florida on access to and quality of primary care for Medicaid enrollees, measured by hospitalizations for ambulatory care sensitive conditions (ACSCs). DATA SOURCES: We examine inpatient data obtained from the Agency for Health Care Administration for 285 hospitals in Florida from January 2010 to June 2015. The analysis includes 3,645,515 discharges for Florida residents between the ages 18 and 64 with a primary payer of Medicaid or private insurance. STUDY DESIGN: We use a difference-in-differences approach, comparing the change in the incidence of ACSC-related inpatient visits among Medicaid patients before and after the implementation of SMMC, relative to the change among the privately insured. PRINCIPAL FINDINGS: After implementation of SMMC, Medicaid patients experienced a 0.35 percentage point slower growth in overall ACSC-related inpatient visits, and a 0.21 percentage point slower growth in chronic ACSC-related inpatient visits. The effects were significant in counties with above median Medicaid managed care penetration rates. CONCLUSIONS: Implementing mandatory managed care in Medicaid in Florida leads to slower growth in inpatient visits for conditions that can potentially be prevented with improved access to outpatient care.

Local Health Departments' Promotion of Mental Health Care and Reductions in 30-Day All-Cause Readmission Rates in Maryland.

BACKGROUND: Individuals affected with mental health conditions, including mood disorders and substance abuse, are at an increased risk of hospital readmission. OBJECTIVES: The objective of this study is to examine whether local health departments' (LHDs) active roles of promoting mental health are associated with reductions in 30-day all-cause readmission rates, a common quality metric. METHODS: Using datasets linked from multiple sources, including 2012-2013 State Inpatient Databases for the State of Maryland, the National Association of County and City Health Officials Profiles Survey, the Area Health Resource File, and US Census data, we employed multivariate logistic models to examine whether LHDs' active provision of mental health preventive care, mental health services, and health promotion were associated with the likelihood of having any 30-day all-cause readmission. RESULTS: Multivariate logistic regressions showed that LHDs' provision of mental health preventive care, mental health services, and health promotion were negatively associated with the likelihoods of having any 30-day readmission for adults 18-64 years old (odds ratios=0.71-0.82, P<0.001), and adults 65 and above (odds ratios=0.61-0.63, P<0.001, preventive care and services, respectively). These estimated associations were more prominent among individuals with mental illness and/or substance use disorders, African Americans, Medicare, and Medicaid enrollees. CONCLUSIONS: Our results suggest that LHDs in Maryland that engage in mental health prevention, promotion, and coordination activities are associated with benefits for residents and for the health care system at large. Additional research is needed to evaluate LHD activities in other states to determine if these results are generalizable.

High Levels of Methylarginines Were Associated With Increased Mortality in Patients With Severe Sepsis.

INTRODUCTION: Nitric oxide (NO) likely plays a pivotal role in the pathogenesis of sepsis. Arginine is a substrate for NO, whereas the methylated arginines-asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA)-are endogenous by-products of proteolysis that inhibit NO production.We investigated if high-plasma levels of ADMA, SDMA, and arginine/ADMA ratio were associated with 90-day mortality in patients with severe sepsis or septic shock. METHODS: We included 267 adult patients admitted to intensive care unit with severe sepsis or septic shock. The patients had previously been included in the randomized controlled trial "Scandinavian Starch for Severe Sepsis and Septic Shock (6S)." ADMA, SDMA, and arginine/ADMA ratio were measured in plasma. The risk of death within 90 days was estimated in multivariate Cox regression analyses adjusted for gender, age ≥65 years, major cardiovascular disease, diabetes, hypertension, respiratory failure, vasopressor treatment, highest quartile of creatinine and bilirubin, and lowest quartile of platelet count. In the regression analyses missing values were estimated using multiple imputation. RESULTS: Twenty-five patients had missing data in one or more of the baseline variables and 44 patients had missing methylarginine values. Both ADMA and SDMA were independently associated with 90-day mortality (ADMA: hazard ratio 1.54; 95% CI, 1.00-2.38; P = 0.046, and SDMA: hazard ratio 1.78; 95% CI, 1.14-2.72; P = 0.011). Arginine/ADMA ratio was not associated with 90-day mortality neither in univariate nor in multivariate analyses. The difference in mortality between patients with high and low ADMA was most pronounced in the first week after inclusion. CONCLUSIONS: High levels of ADMA and SDMA in plasma were associated with increased 90-day mortality in patients with severe sepsis or septic shock. Interfering with the methylarginine-NO systems may be a novel target in these patients.

The ACA's Dependent Coverage Expansion and Out-of-Pocket Spending by Young Adults With Behavioral Health Conditions.

OBJECTIVE: Young adults with behavioral health conditions (mental or substance use disorders) often lack access to care. In 2010, the Affordable Care Act (ACA) extended eligibility for dependent coverage under private health insurance, allowing young adults to continue on family plans until age 26. The objective of this study was to analyze out-of-pocket (OOP) spending as a share of total health care expenditures for young adults with behavioral health conditions before and after the implementation of the ACA dependent care provision. The study examined the population of young adults with behavioral health conditions overall and by race and ethnicity. METHODS: The study analyzed 2008-2009 and 2011-2012 nationally representative data from the Medical Expenditure Panel Survey with zero-or-one inflated beta regression models in a difference-in-differences framework to estimate the impact of the ACA's dependent coverage expansion. OOP spending was examined as a share of total health care expenditures among young adults with behavioral health disorders. The study compared the treatment group of individuals ages 19-25 (unweighted N=1,158) with a group ages 27-29 (unweighted N=668). RESULTS: Young adults ages 19-25 with behavioral health disorders were significantly less likely than the older group to have high levels of OOP spending after the implementation of the ACA's dependent coverage expansion. The reduction was pronounced among young adults from racial-ethnic minority groups. CONCLUSIONS: The extension of health insurance coverage to young adults with behavioral health disorders has provided them with additional financial protection, which can be important given the low incomes and high debt burden that characterize the age group.