Higher Coronavirus Disease 2019 Mortality Research Articles

Disparities in infectious disease-related health care utilization between Medicaid-enrolled American Indians and non-Hispanic Whites-Lessons from the first 16 months of coronavirus disease 2019 and a decade of flu seasons.

To understand why American Indian and Alaskan Native (AIAN) populations have had exceptionally high COVID-19 mortality, we compare patterns of healthcare utilization and outcomes for two serious infectious respiratory diseases-Influenza-like-illness (ILI) and coronavirus disease 2019 (COVID-19)-between American Indian and Alaskan Native (AIAN) populations (as identified in Medicaid data) and non-Hispanic Whites over the 2009-2021 period. We select all people under the age of 65 years identified as non-Hispanic White or AIAN in the New York State Medicaid claims data between 2009 and 2021. We analyze data across 10 ILI cohorts (between September 2009 and August 2020) and 4 COVID-19 cohorts (March-June 2020, July-September 2020, October-December 2020, and January-June 2021). We examine mortality and utilization rates using logistic regressions, adjusting for demographic characteristics, prior chronic conditions, and geographic location (including residence near a reservation). We stratify the analysis by rural vs. nonrural counties. We use the New York State Medicaid claims data for the analysis. We find that even among Medicaid beneficiaries, who are similar in socioeconomic status and identical in health insurance coverage, AIAN populations have much lower rates of use of outpatient services and much higher rates of acute (inpatient and emergency room) service utilization for both ILI and COVID-19 than non-Hispanic Whites. Prior to COVID-19, demographic and health status-adjusted all-cause mortality rates, including from ILI, were lower among American Indians than among non-Hispanic Whites on New York State Medicaid, but this pattern reversed during the COVID-19 pandemic. Both findings are driven by nonrural counties. We did not observe significant differences in all-cause mortality and acute service utilization comparing AIAN to non-Hispanic Whites in rural areas. The utilization and mortality disparities we identify within the Medicaid population highlight the need to move beyond insurance in addressing poor health outcomes in the American Indian population.

The clinical and epidemiological characteristics of a series of patients living with HIV admitted for COVID-19 in a district hospital

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic continues to evolve. Globally, COVID-19 continues to strain even the most resilient healthcare systems, with Omicron being the latest variant. We made a thorough search for literature describing the effects of the COVID-19 in a high human immunodeficiency virus (HIV)/tuberculosis (TB) burden district-level hospital setting. We found scanty literature.MethodsA retrospective observational study was conducted at Khayelitsha District Hospital in Cape Town, South Africa (SA) over the period March 2020–December 2021. We included confirmed COVID-19 cases with HIV infection aged from 18 years and above. Analysis was performed to identify predictors of mortality or hospital discharge among people living with HIV (PLWH). Predictors investigated include CD4 count, antiretroviral therapy (ART), TB, non-communicable diseases, haematological, and biochemical parameters.FindingsThis cohort of PLWH with SARS-CoV-2 infection had a median (IQR) age of 46 (37–54) years, male sex distribution of 29.1%, and a median (IQR) CD4 count of 267 (141–457) cells/mm3. Of 255 patients, 195 (76%) patients were discharged, 60 (24%) patients died. One hundred and sixty-nine patients (88%) were on ART with 73(28%) patients having acquired immunodeficiency syndrome (AIDS). After multivariable analysis, smoking (risk ratio [RR]: 2.86 (1.75–4.69)), neutrophilia [RR]: 1.024 (1.01–1.03), and glycated haemoglobin A1 (HbA1c) [RR]: 1.01 (1.007–1.01) were associated with mortality.ConclusionThe district hospital had a high COVID-19 mortality rate among PLWH. Easy-to-access biomarkers such as CRP, neutrophilia, and HbA1c may play a significant role in informing clinical management to prevent high mortality due to COVID-19 in PLWH at the district-level hospitals.

Main modulators of COVID-19 epidemic in sub-Saharan Africa

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic is responsible for an important global death toll from which sub-Saharan Africa (SSA) seems mostly protected. The reasons explaining this situation are still poorly understood. MethodsWe analyzed the correlation between reported COVID-19 data between February 14, 2020 and May 18, 2021, and demographic, socioeconomic, climatic, diagnostic data, and comorbidities in 47 SSA countries. Different databases including the WHO data center, Our World in Data, and the World Bank were used. FindingsAs of May 17, 2021, SSA reported 2% of COVID-19 cases and 2.9% of deaths, with the southern region being the most affected with 56.4% of cases and 75.0% of deaths. COVID-19 mortality was positively correlated with medical variables (national obesity rate, diabetes prevalence, cancer incidence, and cardiovascular disease mortality rate), socioeconomic characteristics (international tourism, per capita health expenditure, human development index, HDI, and years of schooling), and health system variables (nurse density, number of COVID-19 tests per capita), but negatively correlated with the population under 15 years of age and the malaria index. InterpretationOur study suggests that higher economic status fits with high COVID-19 mortality in SSA. In this regard, it represents primarily a disease of modern and wealthy societies, and can therefore be considered as an exception among infectious diseases that historically affected more severely underserved populations living in low- and middle-income countries. However, it should be made clear that observed correlations do not imply inevitably causation and that additional studies are necessary to confirm our observations.

Highlights From the Circulation Family of Journals

Highlights From the <i>Circulation</i> Family of Journals

The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.

ObjectiveTo investigate the association between stroke and the risk for mortality among coronavirus disease 2019 (COVID-19) patients.MethodsWe performed systematic searches through electronic databases including PubMed, Embase, Scopus, and Web of Science to identify potential articles reporting adjusted effect estimates on the association of stroke with COVID-19-related mortality. To estimate pooled effects, the random-effects model was applied. Subgroup analyses and meta-regression were performed to explore the possible sources of heterogeneity. The stability of the results was assessed by sensitivity analysis. Publication bias was evaluated by Begg’s test and Egger’s test.ResultsThis meta-analysis included 47 studies involving 7,267,055 patients. The stroke was associated with higher COVID-19 mortality (pooled effect = 1.30, 95% confidence interval (CI): 1.16–1.44; I2 = 89%, P < 0.01; random-effects model). Subgroup analyses yielded consistent results among area, age, proportion of males, setting, cases, effect type, and proportion of severe COVID-19 cases. Statistical heterogeneity might result from the different effect type according to the meta-regression (P = 0.0105). Sensitivity analysis suggested that our results were stable and robust. Both Begg’s test and Egger’s test indicated that potential publication bias did not exist.ConclusionStroke was independently associated with a significantly increased risk for mortality in COVID-19 patients.

In-Hospital Cardiac Arrest Survival in the United States During and After the Initial Novel Coronavirus Disease 2019 Pandemic Surge.

Recent reports on challenges in resuscitation care at hospitals severely affected by the novel coronavirus disease 2019 (COVID-19) pandemic raise questions about how the pandemic affected outcomes for in-hospital cardiac arrest throughout the United States. Within Get With The Guidelines-Resuscitation, we conducted a retrospective cohort study to compare in-hospital cardiac arrest survival during the presurge (January 1-February 29), surge (March 1-May 15) and immediate postsurge (May 16-June 30) periods in 2020 compared to 2015 to 2019. Monthly COVID-19 mortality rates for each hospital's county were categorized, per 1 000 000 residents, as low (0-10), moderate (11-50), high (51-100), or very high (>100). Using hierarchical regression models, we compared rates of survival to discharge in 2020 versus 2015 to 2019 for each period. Of 61 586 in-hospital cardiac arrests, 21 208 (4309 in 2020), 26 459 (5949 in 2020), and 13 919 (2686 in 2020) occurred in the presurge, surge, and postsurge periods, respectively. During the presurge period, 24.2% survived to discharge in 2020 versus 24.7% in 2015 to 2019 (adjusted odds ratio, 1.12 [95% CI, 1.02-1.22]). In contrast, during the surge period, 19.6% survived to discharge in 2020 versus 26.0% in 2015 to 2019 (adjusted odds ratio, 0.81 [0.75-0.88]). Lower survival was most pronounced in communities with high (28% lower survival) and very high (42% lower survival) monthly COVID-19 mortality rates (interaction P<0.001). Resuscitation times were shorter (median: 22 versus 25 minutes; P<0.001), and delayed epinephrine treatment was more prevalent (11.3% versus 9.9%; P=0.004) during the surge period. Survival was lower even when patients with confirmed/suspected COVID-19 infection were excluded from analyses. During the postsurge period, survival rates were similar in 2020 versus 2015 to 2019 (22.3% versus 25.8%; adjusted odds ratio, 0.93 [0.83-1.04]), including communities with high COVID-19 mortality (interaction P=0.16). Early during the pandemic, rates of survival to discharge for IHCA decreased, even among patients without COVID-19 infection, highlighting the early impact of the COVID-19 pandemic on in-hospital resuscitation.

Epidemiology and Risk Factors of COVID-19-Related Mortality.

IntroductionDuring the coronavirus disease 2019 (COVID-19) pandemic in India, several characteristics of hospitalized COVID-19 patients, based on demographics, mortality predictors, and presence of comorbidities, were found to be associated with poor outcomes. The objective of this study was to identify such epidemiological and clinical characteristics among the patients admitted at a tertiary-care center in India that may have predisposed them to COVID-19-related mortality.MethodsThis retrospective observational study conducted at the Department of Medicine, All India Institute of Medical Sciences, New Delhi, in May 2021 included 141 COVID-19 confirmed patients. The medical history, demographic characteristics, comorbidities, clinical findings, and laboratory data of each patient were obtained. The data were analyzed to identify significant clinical and laboratory parameters that led to the adverse final outcomes.ResultsHypertension was the most common comorbidity and the presence of diabetes with hypertension led to poorer final outcomes. Lower oxygen saturation and requirement of oxygen supplementation at admission along with worse prognostic scores during admission led to poorer outcomes. Twenty-seven patients needed non-invasive ventilation (NIV) during the hospital course, and all ultimately landed up among the 56 patients who were managed on invasive mechanical ventilation (IMV). Multivariate logistic regression analysis performed identified COVID-19 severity at admission, co-existence of hypertension and diabetes mellitus, systolic blood pressure less than 90 mm Hg, and serum creatinine greater than 1.2 mg/dL to be associated with higher COVID-19 mortality.ConclusionCOVID-19 patients having the co-existence of diabetes and hypertension constitute a high-risk group and may be targeted by prompt vaccination strategies. The presence of severe disease along with a need for oxygen therapy and other intensive care interventions ultimately led to unfavorable outcomes.

Malaysia Healthcare Early Response in Combatting COVID-19 Pandemic in 2020.

The year 2020 saw the emergence of a novel coronavirus—the severe acute respiratory syndrome coronavirus 2—which has led to an unprecedented pandemic that has shaken the entire world. The pandemic has been a new experience for Malaysia, especially during the implementation of large-scale public health and social measures called the Movement Control Order (MCO). This paper seeks to describe the experiences of the Malaysian healthcare system thus far in combatting the pandemic. The Malaysian healthcare system comprises two main arms: public health and medicine. The public health arm focuses on early disease detection, contact tracing, quarantines, the MCO, and risk stratification strategies in the community. The medical arm focuses on the clinical management of coronavirus disease 2019 (COVID-19) patients; it encompasses laboratory services, the devising of clinical setting adjustments, and hospital management for COVID-19 and non-COVID-19 patients. Malaysia experienced intense emotions at the beginning of the pandemic, with great uncertainty regarding the pandemic’s outcome, as the world saw a frighteningly high COVID-19 mortality. As of writing (May 30, 2020), Malaysia has passed the peak of its second wave of infections. The experience thus far has helped in preparing the country’s healthcare system to be vigilant and more prepared for future COVID-19 waves. To date, the pandemic has changed many aspects of Malaysia’s life, and people are still learning to adapt to new norms in their lives.

Impact of cytokine storm and systemic inflammation on liver impairment patients infected by SARS-CoV-2: Prospective therapeutic challenges.

Coronavirus disease 2019 (COVID-19) is a devastating worldwide pandemic infection caused by a severe acute respiratory syndrome namely coronavirus 2 (SARS-CoV-2) that is associated with a high spreading and mortality rate. On the date this review was written, SARS-CoV-2 infected about 96 million people and killed about 2 million people. Several arguments disclosed the high mortality of COVID-19 due to acute respiratory distress syndrome or change in the amount of angiotensin-converting enzyme 2 (ACE2) receptor expression or cytokine storm strength production. In a similar pattern, hepatic impairment patients co-infected with SARS-CoV-2 exhibited overexpression of ACE2 receptors and cytokine storm overwhelming, which worsens the hepatic impairment and increases the mortality rate. In this review, the impact of SARS-CoV-2 on hepatic impairment conditions we overviewed. Besides, we focused on the recent studies that indicated cytokine storm as well as ACE2 as the main factors for high COVID-19 spreading and mortality while hinting at the potential therapeutic strategies.

The Role of Respiratory System Surface Area and Ventilation Volume in Severity and Mortality of COVID-19 Infection

The article's abstract is not available.

Municipality-Level Predictors of COVID-19 Mortality in Mexico: A Cautionary Tale.

Local characteristics of populations have been associated with coronavirus disease 2019 (COVID-19) outcomes. We analyze the municipality-level factors associated with a high COVID-19 mortality rate (MR) of in Mexico. We retrieved information from cumulative confirmed symptomatic cases and deaths from COVID-19 as of June 20, 2020, and data from most recent census and surveys of Mexico. A negative binomial regression model was adjusted, the dependent variable was the number of COVID-19 deaths, and the independent variables were the quintiles of the distribution of sociodemographic and health characteristics among the 2457 municipalities of Mexico. Factors associated with high MRs from COVID-19, relative to quintile 1, were diabetes and obesity prevalence, diabetes mortality rate, indigenous population, economically active population, density of economic units that operate essential activities, and population density. Among factors inversely associated with lower MRs from COVID-19 were high hypertension prevalence and houses without sewage drainage. We identified 1351 municipalities without confirmed COVID-19 deaths, of which, 202 had high and 82 very high expected COVID-19 mortality (mean = 8 and 13.8 deaths per 100,000, respectively). This study identified municipalities of Mexico that could lead to a high mortality scenario later in the epidemic and warns against premature easing of mobility restrictions and to reinforce strategies of prevention and control of outbreaks in communities vulnerable to COVID-19.

Abstract 17393: Sex Differences in COVID-19 Hospitalization and Mortality in Chicagoland

Introduction: The novel coronavirus disease 2019 (COVID-19) pandemic has affected millions of people worldwide. Higher COVID-19 mortality in men compared to women seen in many countries is not yet explained. We analyzed sex differences in COVID-19 outcomes in a large Illinois-based cohort. Methods: This is a multicenter retrospective cohort study of confirmed COVID-19 infections from March 1–June 3, 2020 in Rush University System. We compared men and women with COVID-19 infection for the rates of hospitalization, intensive care unit (ICU) admission, vasopressor use, endotracheal intubation, and death. A multivariable model correcting for age, race, and sum of comorbidities (obesity, hypertension, diabetes, coronary artery disease, heart failure, end-stage renal disease, asthma, chronic obstructive pulmonary disease, active smoking) was used to determine independent association with outcomes. Results: Of the 8,086 patients who tested positive, 4,267 (53%) were females, while 3,819 (47%) were males. Males had a higher rate of hospitalization (19% vs. 14%; p&lt;0.001), ICU transfer (8% vs. 4%; p&lt;0.001), vasopressor support (4% vs. 2%; p&lt;0.001), or endotracheal intubation (5% vs. 2%; p&lt;0.001). Of the 132 patients who died (10% of hospitalized patients), 76 were males, while 56 were females (2% vs. 1%; p=0.018). The prevalence of active smoking, coronary artery disease, end-stage renal disease, and HIV were higher in males, while hypertension and asthma were more common in females. Multivariable model correcting for age, race, and sum of comorbidities showed a significant association between male sex and in-hospital mortality (OR 1.78; 95% CI 1.23-2.58; p=0.002). Conclusions: There were more women who tested positive for COVID-19 disease. Male sex was independently associated with higher rates of death, hospitalization, ICU admissions, need for vasopressors or endotracheal intubation, after correction for important covariates. The interplay of biological and and behavioral factors is likely responsible for the worse outcomes observed in men with COVID-19 infection. Further investigations into the pathophysiology of sex differences in COVID-19 outcomes responses are needed.

Outcomes for Out-of-Hospital Cardiac Arrest in the United States During the Coronavirus Disease 2019 Pandemic

Recent reports from communities severely affected by the coronavirus disease 2019 (COVID-19) pandemic found lower rates of sustained return of spontaneous circulation (ROSC) for out-of-hospital cardiac arrest (OHCA). Whether the pandemic has affected OHCA outcomes more broadly is unknown. To assess the association between the COVID-19 pandemic and OHCA outcomes, including in areas with low and moderate COVID-19 disease burden. This study used a large US registry of OHCAs to compare outcomes during the pandemic period of March 16 through April 30, 2020, with those from March 16 through April 30, 2019. Cases were geocoded to US counties, and the COVID-19 mortality rate in each county was categorized as very low (0-25 per million residents), low (26-100 per million residents), moderate (101-250 per million residents), high (251-500 per million residents), or very high (>500 per million residents). As additional controls, the study compared OHCA outcomes during the prepandemic period (January through February) and peripandemic period (March 1 through 15). The COVID-19 pandemic. Sustained ROSC (≥20 minutes), survival to discharge, and OHCA incidence. A total of 19 303 OHCAs occurred from March 16 through April 30 in both years, with 9863 cases in 2020 (mean [SD] age, 62.6 [19.3] years; 6040 men [61.3%]) and 9440 in 2019 (mean [SD] age, 62.2 [19.2] years; 5922 men [62.7%]). During the pandemic, rates of sustained ROSC were lower than in 2019 (23.0% vs 29.8%; adjusted rate ratio, 0.82 [95% CI, 0.78-0.87]; P < .001). Sustained ROSC rates were lower by between 21% (286 of 1429 [20.0%] in 2020 vs 305 of 1130 [27.0%] in 2019; adjusted RR, 0.79 [95% CI, 0.65-0.97]) and 33% (149 of 863 [17.3%] in 2020 vs 192 of 667 [28.8%] in 2019; adjusted RR, 0.67 [95% CI, 0.56-0.80]) in communities with high or very high COVID-19 mortality, respectively; however, rates of sustained ROSC were also lower by 11% (583 of 2317 [25.2%] in 2020 vs 740 of 2549 [29.0%] in 2019; adjusted RR, 0.89 [95% CI, 0.81-0.98]) to 15% (889 of 3495 [25.4%] in 2020 vs 1109 of 3532 [31.4%] in 2019; adjusted RR, 0.85 [95% CI, 0.78-0.93]) in communities with very low and low COVID-19 mortality. Among emergency medical services agencies with complete data on hospital survival (7085 total patients), survival to discharge was lower during the pandemic compared with 2019 (6.6% vs 9.8%; adjusted RR, 0.83 [95% CI, 0.69-1.00]; P = .048), primarily in communities with moderate to very high COVID-19 mortality (interaction P = .049). Incidence of OHCA was higher than in 2019, but the increase was largely observed in communities with high COVID-19 mortality (adjusted mean difference, 38.6 [95% CI, 37.1-40.1] per million residents) and very high COVID-19 mortality (adjusted mean difference, 28.7 [95% CI, 26.7-30.6] per million residents). In contrast, there was no difference in rates of sustained ROSC or survival to discharge during the prepandemic and peripandemic periods in 2020 vs 2019. Early during the pandemic, rates of sustained ROSC for OHCA were lower throughout the US, even in communities with low COVID-19 mortality rates. Overall survival was lower, primarily in communities with moderate or high COVID-19 mortality.

Progressive Hypoxia: A Pivotal Pathophysiologic Mechanism of COVID-19 Pneumonia

Progressive Hypoxia: A Pivotal Pathophysiologic Mechanism of COVID-19 Pneumonia

Prior Routine Use of Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Important Outcomes in Hospitalised Patients with COVID-19.

Coronavirus disease 2019 (COVID-19) infection causes acute lung injury, resulting from aggressive inflammation initiated by viral replication. There has been much speculation about the potential role of non-steroidal inflammatory drugs (NSAIDs), which increase the expression of angiotensin-converting enzyme 2 (ACE2), a binding target for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to enter the host cell, which could lead to poorer outcomes in COVID-19 disease. The aim of this study was to examine the association between routine use of NSAIDs and outcomes in hospitalised patients with COVID-19. This was a multicentre, observational study, with data collected from adult patients with COVID-19 admitted to eight UK hospitals. Of 1222 patients eligible to be included, 54 (4.4%) were routinely prescribed NSAIDs prior to admission. Univariate results suggested a modest protective effect from the use of NSAIDs, but in the multivariable analysis, there was no association between prior NSAID use and time to mortality (adjusted HR (aHR) = 0.89, 95% CI 0.52–1.53, p = 0.67) or length of stay (aHR 0.89, 95% CI 0.59–1.35, p = 0.58). This study found no evidence that routine NSAID use was associated with higher COVID-19 mortality in hospitalised patients; therefore, patients should be advised to continue taking these medications until further evidence emerges. Our findings suggest that NSAID use might confer a modest benefit with regard to survival. However, as this finding was underpowered, further research is required.