Relative bed allocation for COVID-19 patients, EHR investments, and COVID-19 mortality outcomes.

Managing flexibility in the relative bed allocation for COVID-19 and non-COVID-19 patients was a key challenge for hospitals during the COVID-19 pandemic. Based on organizational information processing theory (OIPT), we propose that the local electronic health record (EHR) systems could improve patient outcomes through improved bed allocation in the local area. In an empirical analysis of county-level weekly hospital data in the US, relative capacity of beds in hospitals with higher EHR was associated with lower 7-, 14-, and 21-day forward-looking COVID-19 death rate at the county-level. Testing for cross-state variation in non-pharmaceutical interventions along contiguous county border-pair analysis to control for spatial correlation varying between state variations in non-pharmaceutical intervention policies, 2SLS analysis using quality ratings, and using foot-traffic data at the US hospitals our findings are generally supported. The findings have implications for policymakers and stakeholders of the local healthcare supply chains and EHR systems.

No Evidence for Oversizing Hearts and Donor Size Impact on 1-Year Survival in Heart Failure Patients With Left Ventricular Assist Device.

The predicted heart mass (PHM) ratio has recently emerged as a better metric for donor-to-recipient size-matching than weight ratios. It is unknown whether this applies to transplant candidates on left ventricular assist device (LVAD) support. Our study examines if PHM ratio is optimal for size-matching specifically in the LVAD patient population. Patients with LVAD who received a heart transplant from January 1997 to December 2020 in the Scientific Registry of Transplant Recipients database were studied. We compared 5 size-matching metrics, including donor-recipient ratios of weight, height, body mass index, body surface area, and PHM. Single and multivariable Cox proportional hazards models for 1-year mortality were calculated. Our sample consisted of 11,891 patients. In our multivariate analysis, we found that patients in the undersized group with PHM ratios <0.83 had a hazard ratio for 1-year mortality of 1.34 (95% confidence interval 1.08 to 1.65, p = 0.007) suggestive of increased mortality with the use of undersized donors. There was no statistical difference in mortality between the matched (PHM ratio 0.83 to 1.2) and oversized group (PHM ratio ≥1.2). In heart transplant recipients on LVAD support, the PHM ratio provides better risk stratification than other metrics. Use of undersized donor hearts with PHM ratio <0.83 confers higher 1-year mortality. Using oversized donor hearts for transplantation in recipients on LVAD support has no benefit.

Prognosis for patients with heart failure and reduced ejection fraction with and without diabetes: A 7 year nationwide veteran administration analysis.

OBJECTIVE: Evidence suggests diabetes mellitus is an independent risk factor for adverse cardiovascular events in patients with heart failure. As a result, we sought to compare mortality in patients with heart failure with reduced ejection fraction (HFrEF) with and without diabetes. RESEARCH DESIGN AND METHODS: The Veteran Affairs Hospitals' databases were queried to identify all veterans diagnosed with HFrEF from 2007 to 2015. From the overall sample of 165,159 veterans, 41,120 patients with diabetes were matched by their propensity scores (without replacement) 1:1 to non-diabetic patients. To estimate the association between diabetes (Type 1 and 2) and overall mortality of HFrEF patients, a Cox proportional hazard model was used on the matched sample and controlled for patient characteristics for a mean follow up of 3.6 years (standard deviation ±2.3). RESULTS: In a matched sample of 41,120 veterans with HFrEF with and without diabetes, those with diabetes and HFrEF were more often on guideline-directed medical therapy than those without diabetes. In the matched cohort, the mortality risk for patients with concurrent HFrEF and diabetes was 17.7% at 1 year and 74.3% at 5 years, whereas the mortality risk for those without diabetes was 15.3% at 1 year and 69.2% at 5 years. After controlling for patient characteristics such as age, sex, body mass index, heart rate, medical therapies, comorbidities, medications, low-density lipoproteins, high-density lipoproteins, we found that patients with diabetes compared to those without had a significantly increased risk of mortality (HR: 1.85, 95% CI: 1.77-1.92, p < 0.001). CONCLUSIONS: Diabetic HFrEF patients have a higher risk of mortality than non-diabetic HFrEF patients despite controlling for medical therapies and comorbidities.

Change in psychological distress in response to changes in reduced mobility during the early 2020 COVID-19 pandemic: Evidence of modest effects from the U.S.

RATIONALE: During the early 2020 COVID-19 pandemic, several US states had implemented stay-in-place orders (SIPOs) with varying degrees of stringency which resulted in inter-state differences in mobility (i.e., longer presence at home). We test whether the inter-state differences in mobility influenced changes in reported psychological distress. Our study is not on the surge in COVID-19 in the later part of 2020. OBJECTIVE: To identify whether the change in state-level mobility is associated with the change in individuals' reported psychological distress during the early COVID-19 pandemic and whether the intensity of the association varies by older individuals, females, and nonwhites. METHODS: We use differences in state-level mobility and change in reported psychological distress between the two dates of interviews of 5,132 individuals who participated in March and April 2020 waves of Understanding America Study (UAS). RESULTS: We find support for modest effects, i.e., a one standard deviation decline in mobility was associated with a 3.02% higher psychological distress [95% CI: 0.4%-5.64%], and the effects are robust to controlling for reported changes in exercise intensity, alcohol consumption, cannabis use, recreational drug use, and meditation intensity. We also find support for a stronger association for females, but not for older individuals or non-whites. Further, we do not find support for the mediation effects from change in chance of running out of money or change in chance of getting COVID-19. CONCLUSION: Our findings show that reduced mobility from lockdowns during the early COVID-19 wave in the US is associated with a modest increase in reported psychological distress, especially for females. However, these conclusions should not be construed as a small increase in psychological distress in general, as a variety of non-mobility related factors associated with COVID-19 could have exacerbated psychological distress during the early COVID-19 wave in the US.

One-year mortality after implantable cardioverter-defibrillator placement within the Veterans Affairs Health System.

AIMS: Implantable cardioverter-defibrillator (ICD) therapy reduces mortality in patients with heart failure and current guidelines advise implantation of ICDs in patients with a life expectancy of >1 year. We examined trends in all-cause mortality in patients who underwent primary or secondary prevention ICD placement in the Veterans Affairs (VA) Health System. METHODS AND RESULTS: US veterans receiving a new ICD placement for primary or secondary prevention of sudden cardiac death between January 2007 and January 2015, who had heart failure with reduced ejection fraction (HFrEF) were included in the analysis. We assessed all-cause mortality 1 year post-ICD implantation. ICD implantation and HFrEF diagnosis were established with associated ICD-9 codes. The VA death registry was utilized to identify mortality rates following ICD placement. Results were subsequently age-stratified. There were 17 901 veterans with HFrEF with ICD placement nationwide. There was no statistically significant difference in 1-year mortality from 2007 (13.1%) to 2014 (13.4%, P > 0.05). There was a significant increase in 1-year mortality in patients in the oldest age quartile (81.6 years, 32.3% mortality) compared to the youngest quartile (55.5 years, 7% mortality). The finding of diverging clinical outcomes extended to the 30-day but also 8-year mark. CONCLUSIONS: Our data suggest there is a high 1-year mortality in aging HFrEF patients undergoing primary and secondary prevention ICD placement. This highlights the importance of developing better predictive models for mortality in our ICD eligible patient population.

Lower Post Myocardial Infarction Mortality Among Women Treated at Veterans Affairs Hospitals Compared to Men.

BACKGROUND: There is conflicting evidence about whether mortality after myocardial infarction is higher among women than among men. This study aimed to compare sex differences in post myocardial infarction mortality in the Veterans Affairs system, a setting where the predominant subjects are men. MATERIALS AND METHODS: The Veterans Affairs Corporate Data Warehouse inpatient and laboratory chemistry databases were used to identify patients diagnosed with acute myocardial infarction from inpatient records from January 1st, 2005 to April 25th, 2015. Mortality data was obtained through the Veterans Affairs death registry. RESULTS: A total of 130,241 patients were identified; 127,711 men (98%) and 2,530 women (2%). Men typically had more comorbidities including congestive heart failure (54% vs. 46%, P value < 0.001), diabetes mellitus (54% vs. 48%, P value < 0.001), and chronic kidney disease (39% vs. 28%, P value < 0.001). The peak troponin-I was significantly higher among men (16.0 vs. 10.7 ng/mL, P value = 0.03). The mean follow-up time was 1490.67 ± 8 days. After adjusting for differences in demographics and comorbidities, women had a significantly lower risk of mortality (hazard ration [HR]: 0.747, P value < 0.0001) as compared to men. CONCLUSIONS: In a health care system where the predominant subjects are men, women had better short- and long-term survival than men after an acute myocardial infarction. Further investigation is warranted to determine the reasons behind the improved outcomes in women post myocardial infarction in the veteran population.

The Association Between Participation in Mahatma Gandhi National Rural Employment Guarantee Program and Smoking in India.

BACKGROUND: This paper examines whether participating in Mahatma Gandhi National Rural Employment Guarantee Program (NREGA) is associated with the likelihood of smoking among program participants in India. METHODS: We use two-stage residual inclusion (2SRI) estimation method and two waves of India Human Development Surveys completed before (2005) and after (2012) NREGA implementation. RESULTS: The likelihood of smoking increased with NREGA participation. For every 10% increase in NREGA income, the likelihood of smoking bidis (but not cigarettes) increased by 0.88 percentage point. A bidi, a stick of unprocessed tobacco wrapped in temburini leaves, is a significantly cheaper alternative to cigarettes. Nonparticipants who had a comparable increase in income between the two India Human Development Survey waves did not show an increase in likelihood of smoking. The heterogeneity in NREGA treatment effect shows that smoking tendency is not influenced by caste/religion or literacy. CONCLUSIONS: NREGA, as the largest workfare program, most certainly has had a significantly positive influence on the rural poor in India. The findings highlight its small but meaningful influence of a negative health behavior, greater likelihood of uptake of smoking bidis/hookah among program participants. IMPLICATIONS: Existing studies have found mixed evidence of an exogenous increase in income among low-income adults and its impact on smoking. No studies to date have tested the influence of workfare programs in rural areas of developing countries, where unemployment rates are higher and a substantial share of population in those areas is poor. Based on participation in employment guarantee programs as a proxy for exogenous increase in guaranteed income among rural population in India, we find that participants in the program were more likely to smoke bidis/hookah but not cigarettes.

Effect on Mortality of Higher Versus Lower ß-Blocker (Metoprolol Succinate or Carvedilol) Dose in Patients With Heart Failure.

This study aimed to compare the effect of ß-blocker dose and heart rate (HR) on mortality in patients with heart failure with reduced ejection fraction (HFrEF). The Veteran Affairs databases were queried to identify all patients diagnosed with HFrEF based on International Classification of Diseases Ninth Revision codes from 2007 to 2015 and ß-blocker (carvedilol or metoprolol succinate) use. 36,168 patients on low dose ß blocker were then matched with 36,168 patients on high dose ß-blocker using propensity score matching. The impact of ß-blocker dose and HR was assessed on overall mortality using Cox proportional hazard model. After dividing average HR into separate quartiles and adjusting for patient characteristics, high ß-blocker dose was associated with lower overall mortality as compared with a low dose of ß blocker (hazard ratio 0.75, 95% confidence interval 0.73 to 0.77, p <0.01) independent of the HR achieved. The results held for all 4 quartiles of average HR. A higher ß-blocker dose or a lower HR were independently and jointly associated with lower mortality for all quartiles of HR. In conclusion, higher dose of ß-blocker therapy and a lower achieved HR were independently associated with a reduction in mortality in HFrEF patients.

Post-Traumatic Stress Disorder and Heart Failure in Men Within the Veteran Affairs Health System.

Patients with post-traumatic stress disorder (PTSD) are at risk of multiple co-morbidities and are more likely to develop incident heart failure with reduced ejection fraction (HFrEF). The relation of PTSD with clinical outcomes in HFrEF is not established. US veterans diagnosed with HFrEF from January 2007 to January 2015 and treated nationwide in the Veterans Affairs (VA) Health System were included in the study. Patients with HFrEF were identified through International Classification of Diseases, Ninth Revision (ICD-9) codes. Mortality data were obtained from the VA's death registry. We compared characteristics of patients with HFrEF with and without PTSD. We identified 111,970 VA patients with HFrEF and 11,039 patients with concomitant PTSD (9.9%). Patients with PTSD and HFrEF tended to be younger (64 vs 69 years) and have a higher rate of coronary artery disease (73% vs 64%), chronic obstructive pulmonary disease (42% vs 31%), and hypertension (80% vs 64%, p <0.01 for all variables). Patients with PTSD and HFrEF were more commonly on a high-dose ß blocker (70% vs 68%, p <0.01) and angiotensin-converting enzyme inhibitors (96% vs 93%, p <0.01). PTSD was associated with significantly increased mortality at 7 years compared with patients with heart failure without PTSD (adjusted 1.54, 95% confidence interval 1.30 to 1.82, p <0.01). In conclusion, nearly 10% of veterans with HFrEF have PTSD. Patients with HFrEF with PTSD have a higher burden of co-morbidities, and PTSD is associated with a higher rate of all-cause death. Our findings support greater attention to the treatment of patients with PTSD and the causes associated with the poor outcomes.

Effect of carvedilol vs metoprolol succinate on mortality in heart failure with reduced ejection fraction.

BACKGROUND: Beta blocker therapy is indicated in all patients with heart failure with reduced ejection fraction (HFrEF) as per current guidelines. The relative benefit of carvedilol to metoprolol succinate remains unknown. This study aimed to compare survival benefit of carvedilol to metoprolol succinate. METHODS: The VA's databases were queried to identify 114,745 patients diagnosed with HFrEF from 2007 to 2015 who were prescribed carvedilol and metoprolol succinate. The study estimated the survival probability and hazard ratio by comparing the carvedilol and metoprolol patients using propensity score matching with replacement techniques on observed covariates. Sub-group analyses were performed separately for men, women, elderly, duration of therapy of more than 3 months, and diabetic patients. RESULTS: A total of 43,941 metoprolol patients were matched with as many carvedilol patients. The adjusted hazard ratio of mortality for metoprolol succinate compared to carvedilol was 1.069 (95% CI: 1.046-1.092, P value: < .001). At six years, the survival probability was higher in the carvedilol group compared to the metoprolol succinate group (55.6% vs 49.2%, P value < .001). The sub-group analyses show that the results hold true separately for male, over or under 65 years old, therapy duration more than three months and non-diabetic patients. CONCLUSION: Patients with HFrEF taking carvedilol had improved survival as compared to metoprolol succinate. The data supports the need for furthering testing to determine optimal choice of beta blockers in patients with heart failure with reduced ejection fraction.

County-level job automation risk and health: Evidence from the United States.

RATIONALE: Previous studies have observed a positive association between automation risk and employment loss. Based on the job insecurity-health risk hypothesis, greater exposure to automation risk could also be negatively associated with health outcomes. OBJECTIVE: The main objective of this paper is to investigate the county-level association between prevalence of workers in jobs exposed to automation risk and general, physical, and mental health outcomes. METHODS: As a preliminary assessment of the job insecurity-health risk hypothesis (automation risk → job insecurity → poorer health), a structural equation model was used based on individual-level data in the two cross-sectional waves (2012 and 2014) of General Social Survey (GSS). Next, using county-level data from County Health Rankings 2017, American Community Survey (ACS) 2015, and Statistics of US Businesses 2014, Two Stage Least Squares (2SLS) regression models were fitted to predict county-level health outcomes. RESULTS: Using the 2012 and 2014 waves of the GSS, employees in occupational classes at higher risk of automation reported more job insecurity, that, in turn, was associated with poorer health. The 2SLS estimates show that a 10% increase in automation risk at county-level is associated with 2.38, 0.8, and 0.6 percentage point lower general, physical, and mental health, respectively. CONCLUSION: Evidence suggests that exposure to automation risk may be negatively associated with health outcomes, plausibly through perceptions of poorer job security. More research is needed on interventions aimed at mitigating negative influence of automation risk on health.

The effects of skin tone, height, and gender on earnings.

Using a theoretical approach grounded in implicit bias and stereotyping theories, this study examines the relationship between observable physical characteristics (skin tone, height, and gender) and earnings, as measured by income. Combining separate streams of research on the influence of these three characteristics, we draw from a sample of 31,356 individual-year observations across 4,340 individuals from the National Longitudinal Study of Youth (NLSY) 1997. We find that skin tone, height, and gender interact such that taller males with darker skin tone attain lower earnings; those educated beyond high school, endowed with higher cognitive ability, and at the higher income level (>75th percentile) had even lower levels of earnings relative to individuals with lighter skin tone. The findings have implications for implicit bias theories, stereotyping, and the human capital literature within the fields of management, applied psychology, and economics.

Height-income association in developing countries: Evidence from 14 countries.

OBJECTIVES: The purpose of this study was to assess whether the height-income association is positive in developing countries, and whether income differences between shorter and taller individuals in developing countries are explained by differences in endowment (ie, taller individuals have a higher income than shorter individuals because of characteristics such as better social skills) or due to discrimination (ie, shorter individuals have a lower income despite having comparable characteristics). METHODS: Instrumental variable regression, Oaxaca-Blinder decomposition, quantile regression, and quantile decomposition analyses were applied to a sample of 45 108 respondents from 14 developing countries represented in the Research on Early Life and Aging Trends and Effects (RELATE) study. RESULTS: For a one-centimeter increase in country- and sex-adjusted median height, real income adjusted for purchasing power parity increased by 1.37%. The income differential between shorter and taller individuals was explained by discrimination and not by differences in endowments; however, the effect of discrimination decreased at higher values of country- and sex-adjusted height. CONCLUSIONS: Taller individuals in developing countries may realize higher income despite having characteristics similar to those of shorter individuals.

Negative Association of Hospital Efficiency Under Increasing Geographic Elevation on Acute Myocardial Infarction In-Patient Mortality.

Although variation in-patient outcomes based on hospitals' geographic location has been studied, altitude of hospitals above sea level may also affect patient outcomes. Possibly, because of negative physical and psychological effects of altitude on hospital employees, hospital efficiency may decline at higher altitudes. Greater focus on hospital efficiency, despite decreasing efficiency at higher altitudes, could increase demands on hospital employees and further deteriorate patient outcomes. Using data envelopment analysis on a sample of 840 hospital-year observations representing 95,504 patients with acute myocardial infarction (AMI) in the United States, and controlling for patient, hospital, and county characteristics and controlling for hospital, state, and year fixed effects, we find support for the negative association between hospital altitude and efficiency; for 1 percentage point increase in efficiency and every 1,000 feet increase in altitude above the sea level, the mortality of patients with AMI increases by 0.66 percentage points. The findings have implications for hospital performance at increasing geographic elevation and introduces to the literature the notion of "health economics of elevation," to suggest that elevation of a hospital may be an important criterion for consideration for policy makers and insurance firms.

Inflammation-associated microRNA changes in circulating exosomes of heart failure patients.

OBJECTIVE: MiR-486 and miR-146a are cardiomyocyte-enriched microRNAs that control cell survival and self-regulation of inflammation. These microRNAs are released into circulation and are detected in plasma or in circulating exosomes. Little is known whether heart failure affects their release into circulation, which this study investigated. RESULTS: Total and exosome-specific microRNAs in plasma of 40 heart failure patients and 20 controls were prepared using the miRVana Kit. We measured exosomal and total plasma microRNAs separately because exosomes serve as cargos that transfer biological materials and alter signaling in distant organs, whereas microRNAs in plasma indicate the level of tissue damage and are mostly derived from dead cells. qRT-PCR was used to quantify miR-486, miR-146a, and miR-16. Heart failure did not significantly affect plasma miR-486/miR-16 and miR-146a/miR-16 ratio, although miR-146a/miR-16 showed a trend of elevated expression (2.3 ± 0.79, p = 0.27). By contrast, circulating exosomal miR-146a/miR-16 ratio was higher in heart failure patients (2.46 ± 0.51, p = 0.05). miR-146a is induced in response to inflammation as a part of inflammation attenuation circuitry. Indeed, Tnfα and Gm-csf increased miR-146a but not miR-486 in the cardiomyocyte cell line H9C2. These results, if confirmed in a larger study, may help to develop circulating exosomal miR-146a as a biomarker of heart failure.

Taxicab tipping and sunlight.

Does the level of sunlight affect the tipping percentage in taxicab rides in New York City? We examined this question using data on 13.82 million cab rides from January to October in 2009 in New York City combined with data on hourly levels of solar radiation. We found a small but statistically significant positive relationship between sunlight and tipping, with an estimated tipping increase of 0.5 to 0.7 percentage points when transitioning from a dark sky to full sunshine. The findings are robust to two-way clustering of standard errors based on hour-of-the-day and day-of-the-year and controlling for day-of-the-year, month-of-the-year, cab driver fixed effects, weather conditions, and ride characteristics. The NYC cab ride context is suitable for testing the association between sunlight and tipping due to the largely random assignment of riders to drivers, direct exposure to sunlight, and low confounding from variation in service experiences.

Attributing Responsibility: Hospitals Account for 20% of Variance in Acute Myocardial Infarction Patient Mortality.

Applying a log-logistic accelerated failure time mixed effects model to a sample of 95,504 in-hospital patients with acute myocardial infarction (AMI) between 2005 and 2010 in the United States, we measured the relative contribution of hospitals (vs. patients) in explaining in-hospital AMI mortality. Before adjusting for age, race, income, 29 comorbidities of AMI patients, and primary payer, hospital characteristics explained 19.93% of the variance in AMI in-hospital mortality. After controlling for these, variance explained declined by 5.65%, to 14.28%. These findings have implications for policymakers in assessing hospitals' "responsibility" for AMI patient mortality, for hospitals in allocating resources toward improving AMI patient care, and for medical intermediaries in making liability judgments and payment allocations to hospitals.