Nationwide Analysis of the Outcomes and Mortality of Hospitalized COVID-19 Patients

Racial and Regional Disparities Surrounding In-Hospital Mortality among Patients with 2019 Novel Coronavirus Disease (COVID-19): Evidence from NIS Sample in 2020

OBJECTIVE

This study explores differences in COVID-19 in-hospital mortality rates by patient and geographic factors to identify at-risk populations and analyze how strained health disparities were exacerbated during the pandemic.

METHODS

The latest 2020 United States National Inpatient Sample (NIS) data was used to obtain a population-based estimate for patients with COVID-19. We conducted a cross-sectional retrospective data analysis, and sampling weights were used for all statistical analyses to represent nationwide in-hospital mortality of patients with COVID-19. We used multivariate logistic regression models to identify predictors for how patients with COVID-19 are associated with in-hospital death.

RESULTS

Of 200,531 patients, 88.9% did not have an in-hospital death (n=178,369), and 11.1% had in-hospital death (n=22,162). Patients older than 70 were 10 times more likely to have an in-hospital death than patients younger than 40 (p<0.001). Male patients were 37% more likely to have an in-hospital death than female patients (p<0.001). Hispanic patients were 25% more likely to have in-hospital deaths than White patients (p<0.001). In the sub-analysis, Hispanic patients in the 50-60, 60-70, and 70 age groups were 32%, 34%, and 24%, respectively, more likely to have in-hospital death than White patients (p<0.001). Patients with hypertension and diabetes were 69% and 29%, respectively, more likely to have in-hospital death than patients without hypertension and diabetes.

CONCLUSION

Health disparities in the COVID-19 pandemic occurred across races and regions and must be addressed to prevent future deaths. Age and comorbidities like diabetes have a well-established link to increased disease severity, and we have linked both to higher mortality risk. Low-income patients had a significantly increased risk of in-hospital death starting at over 40 years old.

Aberrant innate immune profile associated with COVID-19 mortality in Pretoria, South Africa

The African continent reported the least number of COVID-19 cases and deaths of all the continents, although the exact reasons for this are still unclear. In addition, little is known about the immunological profiles associated with COVID-19 mortality in Africa. The present study compared clinical and immunological parameters, as well as treatment outcomes in patients admitted with COVID-19 in Pretoria, South Africa, to determine if these parameters correlated with mortality in this population. The in-hospital mortality rate for the cohort was 15.79%. The mortality rate in people living with HIV (PLWH) was 10.81% and 17.16% in people without HIV (p = 0.395). No differences in age (p = 0.099), gender (p = 0.127) or comorbidities were found between deceased patients and those who survived. All four of the PLWH who died had a CD4+ T-cell count <200 cells/mm3, a significantly higher HIV viral load than those who survived (p = 0.009), and none were receiving antiretroviral therapy. Seven of 174 (4%) patients had evidence of auto-antibodies neutralizing Type 1 interferons (IFNs). Two of the them died, and their presence was significantly associated with mortality (p = 0.042). In the adjusted model, the only clinical parameters associated with mortality were: higher fraction of inspired oxygen (FiO2) (OR: 3.308, p = 0.011) indicating a greater need for oxygen, high creatinine (OR: 4.424, p = 0.001) and lower platelet counts (OR: 0.203, p = 0.009), possibly secondary to immunothrombosis. Overall, expression of the co-receptor CD86 (p = 0.021) on monocytes and percentages of CD8+ effector memory 2 T-cells (OR: 0.45, p = 0.027) was lower in deceased patients. Decreased CD86 expression impairs the development and survival of effector memory T-cells. Deceased patients had higher concentrations of RANTES (p = 0.003), eotaxin (p = 0.003) and interleukin (IL)-8 (p < 0.001), all involved in the activation and recruitment of innate immune cells. They also had lower concentrations of transforming growth factor (TGF)-β1 (p = 0.40), indicating an impaired anti-inflammatory response. The immunological profile associated with COVID-19 mortality in South Africa points to the role of aberrate innate immune responses.

"We rely on each other": A qualitative exploration of rural Eastern Region Native American experiences during the COVID-19 pandemic

Background

Native American communities suffered disproportionately negative effects during the COVID-19 pandemic, yet no research has explored the experiences of rural Eastern Region Native Americans.

Methods

Informed by the Native Reliance Model and Indigenous Standpoint Theory, we conducted a qualitative descriptive project in the Spring and Summer of 2022; data included semi-structured interviews and focus groups with 24 individuals representing five South Carolina tribal groups.

Findings

Thematic analysis yielded four emergent themes: 1) "Let's just finish the Indians off": Pandemic distrust rooted in historical and contemporary Native American experiences; 2) "We have been misled": Making sense of conflicting public health information; 3) "I'm not giving it to some innocent person": COVID-19 mitigation behaviors as Native American cultural practice; and 4) "We put the plan in place": Self-advocacy and action as a source of Native American pride and responsibility.

Interpretation

These participants demonstrated resiliency grounded in family and tribal ties, even in the face of personal losses, economic struggles, and healthcare barriers. To strike a balance between cultural traditions and public health recommendations, public health practitioners should 1) build partnerships with community leaders, elders, and tribal health authorities to facilitate the development of culturally respectful interventions that address specific health concerns in the context of historical traumas; and 2) implement alternative methods of communication and engagement to ensure equitable access to healthcare services in rural locations, such as collaborating with community organizations, deploying mobile health units, and utilizing traditional channels of communication within these communities.

Prevalence and patient risk factors for pneumothorax in COVID-19 and in influenza pneumonia: a nationwide comparative analysis

Background

Pneumothorax is a rare but deadly complication in patients who require mechanical ventilation. As with any condition associated with acute respiratory distress syndrome (ARDS), coronavirus disease 2019 (COVID-19) is known to be associated with pneumothorax. However, in the literature, comparative data on the risk factors for pneumothorax in COVID-19 and other diseases like influenza are limited. The aim of this study is to determine the prevalence and risk factors for pneumothorax in hospitalized COVID-19 patients and compare them with influenza pneumonia patients.

Methods

This study is a retrospective analysis of the National Inpatient Sample (NIS) 2020 database cohort. Univariate and multivariate logistic regression were used to identify the prevalence and risk factors for pneumothorax in COVID-19 patients and compared with the risk of pneumothorax in influenza patients.

Results

The NIS 2020 database includes 1,608,980 hospitalizations of COVID-19 patients, of which 22,545 [95% confidence interval (CI): 21,491-23,598] (1.4%) developed pneumothorax. On multivariate analysis, factors associated with pneumothorax in COVID-19 included patient age of 41-64 years; male sex; Hispanics, Native Americans, and other races; hospitals with large-bed size; privately owned hospitals; urban teaching hospitals; hospitals in the southern United States (US); stroke; malnutrition; chronic obstructive pulmonary disease (COPD); bronchiectasis; pulmonary fibrosis; liver disease; non-invasive and invasive ventilation; and extracorporeal membrane oxygenation (ECMO). Of 184,980 influenza patients, 1,630 (95% CI: 1,448-1,811) (0.88%) developed pneumothorax. The prevalence of pneumothorax was higher (1.4%) in COVID-19 patients compared to patients with influenza pneumonia (0.88%).

Conclusions

COVID-19 patients who develop pneumothorax have a poor prognosis. Several risk factors for the development of pneumothorax were identified. Patients with these risk factors should be prioritized in applying evidence-based guidelines to prevent pneumothorax.

Nationwide Analysis of the Outcomes and Mortality of Hospitalized Infants with Concomitant Diagnosis of COVID-19

OBJECTIVE

Coronavirus disease 2019 (COVID-19) generally causes milder illness in the pediatric population. However, infants represent a higher-risk population with evolving symptomatology and severity. There is a paucity of large population-based data on the impact of COVID-19 on hospitalized infants.

STUDY DESIGN

In this large cohort study, the National Inpatient Sample database was queried for all infant hospital admissions between January and December 2020 in the United States, with and without a diagnosis of COVID-19 based on ICD-10-CM U07. The mortality and morbidity of infants with and without COVID-19 were evaluated. Parent-reported race and outcomes were also analyzed.

RESULTS

A weighted total of 3,754,236 infants who were hospitalized were identified, of which 4,265 patients (0.11%) had a concomitant diagnosis of COVID-19. Infants with COVID-19 had similar mortality and extracorporeal membrane oxygenation utilization. Infants with concomitant COVID-19 had a higher rate of respiratory failure, congestive heart failure, acute kidney injury, and coagulopathy. Compared with Caucasian infants and Asian infants, Hispanic and African American infants were more likely to have COVID-19 hospital admissions than hospitalizations without COVID-19 diagnosis. Patients with lower median household income represented the majority of the COVID-19 hospitalization. The infants with COVID-19 were more likely to have Medicaid or Medicare insurance and less likely to have private insurance.

CONCLUSION

In this large cohort of hospitalized infants with COVID-19, the infection was associated with complications, including respiratory failure and endotracheal intubations but not associated with a higher risk for mortality. Infants from racial minorities and lower socioeconomic strata carry the highest burden of COVID-19 infection.

KEY POINTS

· Infants with COVID-19 represent a higher-risk group with evolving symptomatology and severity.. · Infants with COVID-19 had similar mortality rates and extracorporeal membrane oxygenation utilization as those without COVID-19.. · Racial minorities and lower socioeconomic strata carry the highest burden of COVID-19 infection..

An abrupt fatal hemothorax in a stable COVID-19 patient: a case report with literature review

Introduction and importance

COVID-19 has been widely spread in the last 2 years. Hemothorax is considered one of the rarest complications of COVID-19.

Case presentation

The authors herein report a case of a 52-year-old patient of COVID-19 that was complicated with abrupt massive hemothorax with hemodynamic instability. Emergent thoracostomy drained almost 4500 ml of blood within 48 h. Thoracoscopy was also performed draining an additional 2000 ml of blood and clots. No further bleeding occurred. Unfortunately, the patient died of septic shock and multiorgan dysfunction.

Clinical discussion

Hemothorax has been reported in seven patients with COVID-19 in the medical literature. Six patients had severe infection with veno-venous extra-corporeal membranous oxygenation (VV-ECMO), and the seventh patient had necrotizing pneumonia. To our knowledge, this represents the first patient of an abrupt massive hemothorax in a COVID-19 patient just before recovery.

Conclusion

Post-COVID-19 hemothorax should be suspected in severe cases with sudden clinical deterioration and evidence of pleural effusion.

Causal relationships between interleukins, interferons and COVID-19 risk: a Mendelian randomization study

Observational studies have shown close associations between COVID-19 risk and cytokines, especially interleukins (ILs) and interferons (IFNs). However, the causal relationships between ILs, IFNs and COVID-19 were still unclear. To resolve the problem, we conducted a Mendelian randomization analysis between COVID-19 and 47 cytokines, including 35 ILs and 12 IFNs. First, three methods were applied to estimate causal effects by using single nucleotide polymorphisms as instrumental variables (IVs). Subsequently, the MR-Egger method was used to estimate the horizontal pleiotropy of IVs. Finally, sensitivity analyses were applied to assess the robustness of results. As a result, one IFN (IFN-W1) and five ILs (IL-5, IL-6, IL-13, IL-16 and IL-37) were identified to significantly decrease the COVID-19 risk. In contrast, one IFN (IFNG) and five ILs (IL-3, IL-8, IL-27, IL-31 and IL-36β) were found to be significantly associated with an increased risk of COVID-19. In summary, the findings of this study provide insights into potential therapeutic interventions for COVID-19.

Risk of COVID-19 death for people with a pre-existing cancer diagnosis prior to COVID-19-vaccination: A systematic review and meta-analysis

While previous reviews found a positive association between pre-existing cancer diagnosis and COVID-19-related death, most early studies did not distinguish long-term cancer survivors from those recently diagnosed/treated, nor adjust for important confounders including age. We aimed to consolidate higher-quality evidence on risk of COVID-19-related death for people with recent/active cancer (compared to people without) in the pre-COVID-19-vaccination period. We searched the WHO COVID-19 Global Research Database (20 December 2021), and Medline and Embase (10 May 2023). We included studies adjusting for age and sex, and providing details of cancer status. Risk-of-bias assessment was based on the Newcastle-Ottawa Scale. Pooled adjusted odds or risk ratios (aORs, aRRs) or hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were calculated using generic inverse-variance random-effects models. Random-effects meta-regressions were used to assess associations between effect estimates and time since cancer diagnosis/treatment. Of 23 773 unique title/abstract records, 39 studies were eligible for inclusion (2 low, 17 moderate, 20 high risk of bias). Risk of COVID-19-related death was higher for people with active or recently diagnosed/treated cancer (general population: aOR = 1.48, 95% CI: 1.36-1.61, I2  = 0; people with COVID-19: aOR = 1.58, 95% CI: 1.41-1.77, I2  = 0.58; inpatients with COVID-19: aOR = 1.66, 95% CI: 1.34-2.06, I2  = 0.98). Risks were more elevated for lung (general population: aOR = 3.4, 95% CI: 2.4-4.7) and hematological cancers (general population: aOR = 2.13, 95% CI: 1.68-2.68, I2  = 0.43), and for metastatic cancers. Meta-regression suggested risk of COVID-19-related death decreased with time since diagnosis/treatment, for example, for any/solid cancers, fitted aOR = 1.55 (95% CI: 1.37-1.75) at 1 year and aOR = 0.98 (95% CI: 0.80-1.20) at 5 years post-cancer diagnosis/treatment. In conclusion, before COVID-19-vaccination, risk of COVID-19-related death was higher for people with recent cancer, with risk depending on cancer type and time since diagnosis/treatment.

Trends in admissions for COVID-19 in the United States between April 2020 and December 2021 and cardiovascular events

Introduction

Coronavirus disease 2019 (COVID-19) can lead to cardiovascular complications. We aimed to understand the trends in admission for COVID-19 and the incidence of various cardiovascular events.

Material and methods

The 2020 and 2021 National Inpatient Sample (NIS) was studied for cases of COVID-19 between April 2020 and December 2021 in the United States. Linear-by-linear association helped us understand the trends of various events.

Results

The number of cases of COVID-19 was highest in January 2021 (261,469 patients). The incidence of acute pulmonary embolism rose from 2.08% in April 2020 to 4.82% in November 2021, while deep vein thrombosis cases rose from 1.74% in April 2020 to 2.63% in December 2021. The incidence of cardiac arrest varied, with a maximum of 3.00% in August 2021. Similarly, acute ischemic stroke cases experienced their highest incidence in January 2021 (0.91%). The incidence of myocarditis was highest in April and May 2020 (0.42% each). Peak takotsubo cases were seen between October and December 2021. The highest overall all-cause mortality among COVID-19 cases was seen in April 2020 (16.74%).

Conclusions

Throughout the 21 months of our analysis, various trends in COVID-19 cases and incidence of cardiac events were noticed. This could relate to the different variants of COVID-19, their direct and indirect impact on coagulation pathways and the myocardial tissues, and the protective roles of the vaccines.

From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands

INTRODUCTION

The COVID-19 pandemic exacerbated healthcare needs and caused excess mortality, especially among lower socioeconomic groups. This study describes the emergence of socioeconomic differences along the COVID-19 pathway of testing, healthcare use and mortality in the Netherlands.

METHODOLOGY

This retrospective observational Dutch population-based study combined individual-level registry data from June 2020 to December 2020 on personal socioeconomic characteristics, COVID-19 administered tests, test results, general practitioner (GP) consultations, hospital admissions, Intensive Care Unit (ICU) admissions and mortality. For each outcome measure, relative differences between income groups were estimated using log-link binomial regression models. Furthermore, regression models explained socioeconomic differences in COVID-19 mortality by differences in ICU/hospital admissions, test administration and test results.

RESULTS

Among the Dutch population, the lowest income group had a lower test probability (RR = 0.61) and lower risk of testing positive (RR = 0.77) compared to the highest income group. However, among individuals with at least one administered COVID-19 test, the lowest income group had a higher risk of testing positive (RR = 1.40). The likelihood of hospital admissions and ICU admissions were higher for low income groups (RR = 2.11 and RR = 2.46, respectively). The lowest income group had an almost four times higher risk of dying from COVID-19 (RR = 3.85), which could partly be explained by a higher risk of hospitalization and ICU admission, rather than differences in test administration or result.

DISCUSSION

Our findings indicated that socioeconomic differences became more pronounced at each step of the care pathway, culminating to a large gap in mortality. This underlines the need for enhancing social security and well-being policies and incorporation of health equity in pandemic preparedness plans.

Higher body mass index is strongly linked to poor outcomes in adult COVID-19 hospitalizations: A National Inpatient Sample Study

Aims

The coronavirus disease 2019 (COVID-19) pandemic has resulted in more than 6 million deaths worldwide. Studies on the impact of obesity on patients hospitalized with COVID-19 pneumonia have been conflicting, with some studies describing worse outcomes in patients with obesity, while other studies reporting no difference in outcomes. Previous studies on obesity and critical illness have described improved outcomes in patients with obesity, termed the "obesity paradox." The study assessed the impact of obesity on the outcomes of COVID-19 hospitalizations, using a nationally representative database.

Materials and Methods

ICD-10 code U071 was used to identify all hospitalizations with the principal diagnosis of COVID-19 infection in the National Inpatient Database 2020. ICD-10 codes were used to identify outcomes and comorbidities. Hospitalizations were grouped based on body mass index (BMI). Multivariable logistic regression was used to adjust for demographic characteristics and comorbidities.

Results

A total of 56,033 hospitalizations were identified. 48% were male, 49% were white and 22% were black. Patients hospitalized with COVID-19 pneumonia in the setting of obesity and clinically severe obesity were often younger. Adjusted for differences in comorbidities, there was a significant increase in mortality, incidence of mechanical ventilation, shock, and sepsis with increased BMI. The mortality was highest among hospitalizations with BMI ≥60, with an adjusted odds ratio of 2.66 (95% Confidence interval 2.18-3.24) compared to hospitalizations with normal BMI. There were increased odds of mechanical ventilation across all BMI groups above normal, with the odds of mechanical ventilation increasing with increasing BMI.

Conclusion

The results show that obesity is independently associated with worse patient outcomes in COVID-19 hospitalizations and is associated with higher in-patient mortality and higher rates of mechanical ventilation. The underlying mechanism of this is unclear, and further studies are needed to investigate the cause of this.

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Background

The burden of depression symptoms has increased among individuals infected with SARS-CoV-2 during COVID-19 pandemic. However, the prevalence and associated factors of depressive symptoms among individuals infected with SARS-CoV-2 remain uncertain after optimizing the COVID-19 response in China.

Methods

An online cross-sectional survey was conducted among the public from January 6 to 30, 2023, using a convenience sampling method. Sociodemographic and COVID-19 pandemic-related factors were collected. The depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to explore the associated factors with depressive symptoms.

Results

A total of 2,726 participants completed the survey. The prevalence of depression symptoms was 35.3%. About 58% of the participants reported experiencing insufficient drug supply. More than 40% of participants reported that they had missed healthcare appointments or delayed treatment. One-third of participants responded experiencing a shortage of healthcare staff and a long waiting time during medical treatment. Logistic regression analysis revealed several factors that were associated with depression symptoms, including sleep difficulties (OR, 2.84; 95% CI, 2.34-3.44), chronic diseases (OR, 2.15; 95% CI, 1.64-2.82), inpatient treatment for COVID-19 (OR, 3.24; 95% CI, 2.19-4.77), with COVID-19 symptoms more than 13 days (OR, 1.30, 95% CI 1.04-1.63), re-infection with SARS-CoV-2 (OR, 1.52; 95% CI, 1.07-2.15), and the increased in demand for healthcare services (OR, 1.32; 95% CI, 1.08-1.61).

Conclusion

This study reveals a moderate prevalence of depression symptoms among individuals infected with SARS-CoV-2. The findings underscore the importance of continued focus on depressive symptoms among vulnerable individuals, including those with sleeping difficulties, chronic diseases, and inpatient treatment for COVID-19. It is necessary to provide mental health services and psychological interventions for these vulnerable groups during the COVID-19 epidemic.

Clinical Outcomes of Heart Transplant Recipients Admitted with COVID-19 Infection in 2020: A Nationwide Analysis

The COVID-19 pandemic, caused by infection of the SARS-CoV-2 virus, has impacted morbidity and mortality through widespread cytokine release and aberrant immunity; the mainstay of management has been immunosuppression. The aim of our retrospective study is to determine the effects of solid-organ transplantation (SOT) on COVID-19 admissions using data from the 2020 nationwide inpatient sample (NIS). After multivariate adjustment, we found COVID-19 admission with SOT had no difference in mortality (11.5% vs 11.1%, adjusted OR: 0.99 [95% CI 0.84-1.19, P = 0.99], no difference in need for vasopressor use (2.6% vs 1.8%, adjusted OR: 1.02 [95% CI 0.73-1.44, P = 0.88]), lower odds of requiring mechanical ventilation (MV) (13.7% vs 14.8%, adjusted OR: 0.83 [95% CI 0.71-0.97, P = 0.02]), lower odds of MV within 24 hours of admission (adjusted OR: 0.60 [95% CI 0.47-0.78, P < 0.01]), increased odds of mechanical circulatory support needs (adjusted OR 3.7 [95% CI 1.2-11.7, P = 0.025]), increased odds of acute renal failure requiring renal replacement therapy (adjusted OR 1.66 [95% CI 1.29-2.15, P < 0.01]), decreased mean length of stay (7.45 days vs 7.48 days, adjusted difference: 0.8 days less, P <0.01), and no difference in mean total hospitalization charges ($91,316 vs $79,100, adjusted difference: -$2,667, P = 0.57) compared to COVID-19 admissions without SOT.

The association between obesity with treatment duration, ICU length of stay and the risk of death in critically ill patients with COVID-19

BACKGROUND

Despite the confirmed association between higher BMI with increased risk of the acute respiratory distress syndrome (ARDS), the association between obesity with mortality in critically ill patients with coronavirus disease 2019 (COVID-19) is not clear. The present study aimed to investigate the association between obesity with treatment duration, ICU length of stay, and the risk of death in critically ill patients with COVID-19.

METHODS

This case-control study was performed on 223 patients with COVID-19 including 148 surviving patients as the control group and 75 eventually dead patients as the case group in Rasht, Iran. Data on demographic factors, comorbidities, anthropometric measurements, the length of hospitalization and the mortality were obtained from patients' medical records.

RESULTS

The mortality rate was significantly associated with weight (OR = 1.04, 95% CI: 1.002-1.083, p = .04), but not with BMI after adjustments for age, gender, length of stay in ICU, chronic diseases and smoking. The results did not change after further adjustments for biochemical and pathological factors.

CONCLUSIONS

Weight was positively associated with mortality after controlling for confounding variables. Further studies should consider the patient's body composition such as fat mass to establish the relationship between obesity and COVID-19 outcomes.

COVID-19 and the cardiovascular system: a study of pathophysiology and interpopulation variability

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in humans can lead to various degrees of tissue and organ damage, of which cardiovascular system diseases are one of the main manifestations, such as myocarditis, myocardial infarction, and arrhythmia, which threaten the infected population worldwide. These diseases threaten the cardiovascular health of infected populations worldwide. Although the prevalence of coronavirus disease 2019 (COVID-19) has slightly improved with virus mutation and population vaccination, chronic infection, post-infection sequelae, and post-infection severe disease patients still exist, and it is still relevant to study the mechanisms linking COVID-19 to cardiovascular disease (CVD). This article introduces the pathophysiological mechanism of COVID-19-mediated cardiovascular disease and analyzes the mechanism and recent progress of the interaction between SARS-CoV-2 and the cardiovascular system from the roles of angiotensin-converting enzyme 2 (ACE2), cellular and molecular mechanisms, endothelial dysfunction, insulin resistance, iron homeostasis imbalance, and psychosocial factors, respectively. We also discussed the differences and mechanisms involved in cardiovascular system diseases combined with neocoronavirus infection in different populations and provided a theoretical basis for better disease prevention and management.

The Founder: Dispositional Greed, Showbiz, and the Commercial Determinants of Health

Marketing unhealthy products by multinational corporations has caused considerable harm to individual health, collective wellbeing, and environmental sustainability. This is a growing threat to all societies and a significant contributor to the rising global burden of non-communicable diseases and early mortality. While there is growing consideration of the commercial determinants of health, this is largely focused on the methods by which unhealthy products are marketed and disseminated, including efforts to manipulate policy. Little attention has been paid to the underlying psychological traits and worldviews that are driving corporate greed. Here, we consider the role of "dispositional greed" in the commercial determinants of health with a focus on the historical attitudes and culture in the ultra-processed food industry-exemplified by "The Founder" of the McDonald's franchise. We argue that greed and associated psychological constructs, such as social dominance orientation and collective narcissism, permeate the commercial determinants of health at a collective level. This includes how a culture of greed within organizations, and individual dispositional greed, can magnify and cluster at scale, perpetuated by social dominance orientation. We also consider the ways in which "showbiz" marketing specifically targets marginalized populations and vulnerable groups, including children-in ways that are justified, or even celebrated despite clear links to non-communicable diseases and increased mortality. Finally, we consider how greed and exploitative mindsets mirror cultural values and priorities, with trends for increasing collective narcissism at scale, recognizing that many of these attitudes are cultivated in early life. A healthier future will depend on navigating a path that balances material prosperity with physical and spiritual wellbeing. This will require cultural change that places higher value on kindness, reciprocity, and mutualistic values especially in early life, for more equitable flourishing.

Impact of COVID-19 on Outcomes of Patients Hospitalized With STEMI: A Nationwide Propensity-matched Analysis

Patients with ST-segment elevation myocardial infarction (STEMI) and concurrent coronavirus disease 2019 (COVID-19) have been reported to have poor outcomes. However, previous studies are small and limited. The National Inpatient Sample database for the year 2020 was queried to identify all adult hospitalizations with a primary diagnosis of STEMI, with and without concurrent COVID-19. A 1:1 propensity score matching was performed. A total of 159,890 hospitalizations with a primary diagnosis of STEMI were identified. Of these, 2210 (1.38%) had concurrent COVID-19. After propensity matching, STEMI patients with concurrent COVID-19 had a significantly higher mortality (17.8% vs 9.1%, OR 1.96, P< 0.001), lower likelihood to receive same-day percutaneous coronary intervention (PCI) (63.6% vs 70.6%, P = 0.019), with a trend towards lower overall PCI (74.9% vs 80.2%, P = 0.057) and significantly lower coronary artery bypass grafting) (3.0% vs 6.8%, P = 0.008) prior to discharge, compared with STEMI patients without COVID-19. The prevalence of cardiogenic shock, need for mechanical circulatory support, extracorporeal membrane oxygenation, cardiac arrest, acute kidney injury (AKI), dialysis, major bleeding and stroke were not significantly different between the groups. COVID-19-positive STEMI patients who received same-day PCI had significantly lower odds of in-hospital mortality (adjusted OR 0.42, 95% CI 0.20-0.85, P = 0.017). STEMI patients with concurrent COVID-19 infection had a significantly higher (almost 2 times) in-hospital mortality, and lower likelihood of receiving same-day PCI, overall (any-day) PCI, and CABG during their admission, compared with STEMI patients without COVID-19.

COVID-19, Heart Failure Hospitalizations, and Outcomes: A Nationwide Analysis

Heart Failure (HF) patients are at a higher risk of adverse events associated with Coronavirus disease 2019 (COVID-19). Large population-based reports of the impact of COVID-19 on patients hospitalized with HF are limited. The National Inpatient Sample database was queried for HF admissions during 2020 in the United States (US), with and without a diagnosis of COVID-19 based on ICD-10-CM U07. Propensity score matching was used to match patients across age, race, sex, and comorbidities. Multivariate logistic regression analysis was used to identify predictors of mortality. A weighted total of 1,110,085 hospitalizations for HF were identified of which 7,905 patients (0.71%) had a concomitant diagnosis of COVID-19. After propensity matching, HF patients with COVID-19 had higher rate of in-hospital mortality (8.2% vs 3.7%; odds ratio [OR]: 2.33 [95% confidence interval [CI]: 1.69, 3.21]; P< 0.001), cardiac arrest (2.9% vs 1.1%, OR 2.21 [95% CI: 1.24,3.93]; P<0.001), and pulmonary embolism (1.0% vs 0.4%; OR 2.68 [95% CI: 1.05, 6.90]; P = 0.0329). During hospitalizations for HF, COVID-19 was also found to be an independent predictor of mortality. Further, increasing age, arrythmias, and chronic kidney disease were independent predictors of mortality in HF patients with COVID-19. COVID-19 is associated with increased in-hospital mortality, longer hospital stays, higher cost of hospitalization and increased risk of adverse outcomes in patients admitted with HF.

Impact of COVID-19 on Patients Hospitalized With Deep Vein Thrombosis and/or Pulmonary Embolism: A Nationwide Analysis

The Coronavirus disease 2019 (COVID-19) infection predisposes patients to develop deep vein thrombosis (DVT) and pulmonary embolism (PE). In this study, we compared the in-hospital outcomes of patients with DVT and/or PE with concurrent COVID-19 infection vs those with concurrent flu infection. The National Inpatient Sample from 2019 to 2020 was analyzed to identify all adult admissions diagnosed with DVT and PE. These patients were then stratified based on whether they had concomitant COVID-19 or flu. We identified 62,895 hospitalizations with the diagnosis of DVT and/or PE with concomitant COVID-19, and 8155 hospitalizations with DVT and/or PE with concomitant flu infection. After 1:1 propensity score match, the incidence of cardiac arrest and inpatient mortality were higher in the COVID-19 group. The incidence of cardiogenic shock was higher in the flu group. Increased age, Hispanic race, diabetes, chronic kidney disease, arrhythmia, liver disease, coagulopathy, and rheumatologic diseases were the independent predictors of mortality in patients with DVT and/or PE with concomitant COVID-19.

A Comparison of COVID-19 and Influenza-Associated Myocarditis: A Nationwide Study in the United States

We aimed to compare the characteristics and outcomes of adult patients hospitalized with myocarditis and either concomitant COVID-19 or influenza, and elucidate clinical predictors associated with adverse outcomes in both groups. The study used the National Inpatient Sample (NIS) from 2019 to 2020 to identify 27,725 adult myocarditis hospitalizations, of which 5,840 had concomitant COVID-19 and 1,045 had concomitant influenza. After propensity score matching, the in-hospital mortality from myocarditis was significantly higher in COVID-19 compared to influenza. Patients with myocarditis and COVID-19 were more likely to have cardiovascular comorbidities and be older than those with influenza-associated myocarditis. Predictors of mortality were also different in both groups.

Impact of COVID-19 in patients hospitalized with stress cardiomyopathy: A nationwide analysis

Stress cardiomyopathy was noted to occur at a higher incidence during coronavirus disease of 2019 (COVID-19) pandemic. This database analysis has been done to compare the in-hospital outcomes in patients with stress cardiomyopathy and concurrent COVID-19 infection with those without COVID-19 infection. The National Inpatient Sample database for the year 2020 was queried to identify all admissions diagnosed with stress cardiomyopathy. These patients were then stratified based on whether they had concomitant COVID-19 infection or not. A 1:1 propensity score matching was performed. Multivariate logistic regression analysis was done to identify predictors of mortality. We identified 41,290 hospitalizations for stress cardiomyopathy, including 1665 patients with concurrent diagnosis of COVID-19. The female preponderance was significantly lower in patients with stress cardiomyopathy and COVID-19. Patients with concomitant COVID-19 were more likely to be African American, diabetic and have chronic kidney disease. After propensity matching, the incidence of complications, including acute kidney injury (AKI), AKI requiring dialysis, coagulopathy, sepsis, cardiogenic shock, cases with prolonged intubation of >24 h, requirement of vasopressor and inpatient mortality, were noted to be significantly higher in patients with COVID-19. Concomitant COVID-19 infection was independently associated with worse outcomes and increased mortality in patients hospitalized with stress cardiomyopathy.

Population Risk Factors for Severe Disease and Mortality in COVID-19 in the United States during the Pre-Vaccine Era: A Retrospective Cohort Study of National Inpatient Sample

Background-Previous studies on coronavirus disease 2019 (COVID-19) were limited to specific geographical locations and small sample sizes. Therefore, we used the National Inpatient Sample (NIS) 2020 database to determine the risk factors for severe outcomes and mortality in COVID-19. Methods-We included adult patients with COVID-19. Univariate and multivariate logistic regression was performed to determine the predictors of severe outcomes and mortality in COVID-19. Results-1,608,980 (95% CI 1,570,803-1,647,156) hospitalizations with COVID-19 were included. Severe complications occurred in 78.3% of COVID-19 acute respiratory distress syndrome (ARDS) and 25% of COVID-19 pneumonia patients. The mortality rate for COVID-19 ARDS was 54% and for COVID-19 pneumonia was 16.6%. On multivariate analysis, age > 65 years, male sex, government insurance or no insurance, residence in low-income areas, non-white races, stroke, chronic kidney disease, heart failure, malnutrition, primary immunodeficiency, long-term steroid/immunomodulatory use, complicated diabetes mellitus, and liver disease were associated with COVID-19 related complications and mortality. Cardiac arrest, septic shock, and intubation had the highest odds of mortality. Conclusions-Socioeconomic disparities and medical comorbidities were significant determinants of mortality in the US in the pre-vaccine era. Therefore, aggressive vaccination of high-risk patients and healthcare policies to address socioeconomic disparities are necessary to reduce death rates in future pandemics.