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Objective : Explore potential racial/ethnic differences, describe general clinical characteristic, and severe outcomes [intensive care unit (ICU) admission, mechanical ventilation (intubation), and death] between Hispanic/Latinx (hereafter: Hispanics or Latinx community) and non-Hispanic patients hospitalized with COVID-19. Methods : Retrospective cohort of 326 patients hospitalized with COVID-19 through April 19, 2020. Sociodemographic and hospital course data were collected and analyzed. A multivariate logistic regression analysis was implemented to examine associations. Results : Compared with non-Hispanic Whites (NHW), Hispanics were younger (53 years, median age) and had higher rates of Medicaid and less commercial/HMO/PPO coverage (p

Objectives. To identify spatiotemporal patterns of epidemic spread at the community level. Methods. We extracted influenza cases reported between 2016 and 2019 and COVID-19 cases reported in March and April 2020 from a hospital network in Rhode Island. We performed a spatiotemporal hotspot analysis to simulate a real-time surveillance scenario. Results. We analyzed 6527 laboratory-confirmed influenza cases and identified microepidemics in more than 1100 neighborhoods, and more than half of the neighborhoods that had hotspots in a season became hotspots in the next season. We used data from 731 COVID-19 cases, and we found that a neighborhood was 1.90 times more likely to become a COVID-19 hotspot if it had been an influenza hotspot in 2018 to 2019. Conclusions. The use of readily available hospital data allows the real-time identification of spatiotemporal trends and hotspots of microepidemics. Public Health Implications. As local governments move to reopen the economy and ease physical distancing, the use of historic influenza hotspots could guide early prevention interventions, while the real-time identification of hotspots would enable the implementation of interventions that focus on small-area containment and mitigation.

Introduction The COVID-19 pandemic has caused an unprecedented health and economic worldwide crisis. Innovative solutions are imperative given limited resources and immediate need for medical supplies, healthcare support and treatments. Aim The purpose of this review is to summarize emerging technologies being implemented in the study, diagnosis, and treatment of COVID-19. Results Key focus areas include the applications of artificial intelligence, the use of Big Data and Internet of Things, the importance of mathematical modeling for predictions, utilization of technology for community screening, the use of nanotechnology for treatment and vaccine development, the utility of telemedicine, the implementation of 3D-printing to manage new demands and the potential of robotics. Conclusion The review concludes by highlighting the need for collaboration in the scientific community with open sharing of knowledge, tools, and expertise.

Vaccination remains the most effective way to prevent influenza infection, albeit vaccine effectiveness (VE) varies by year. Compared to other age groups, children and elderly adults have the highest risk of developing influenza-related complications and requiring hospitalization. During the last years, “test negative design” (TND) studies have been implemented in order to estimate influenza VE. The aim of this systematic review and meta-analysis was to summarize the findings of TND studies reporting influenza VE against laboratory-confirmed influenza-related hospitalization in children aged 6 months to 17 years. We searched the PubMed and Embase databases and identified 2615 non-duplicate studies that required detailed review. Among them, 28 met our inclusion criteria and we performed a random-effects meta-analysis using adjusted VE estimates. In our primary analysis, influenza vaccine offered significant protection against any type influenza-related hospitalization (57.48%; 95% CI 49.46–65.49). When we examined influenza VE per type and strain, VE was higher against H1N1 (74.07%; 95% CI: 54.85–93.30) and influenza B (50.87%; 95% CI: 41.75–59.98), and moderate against H3N2 (40.77%; 95% CI: 25.65–55.89). Notably, influenza vaccination offered higher protection in children who were fully vaccinated (61.79%; 95% CI: 54.45–69.13), compared to those who were partially vaccinated (33.91%; 95% CI: 21.12 – 46.69). Also, influenza VE was high in children less than 5 years old (61.71%; 95% CI: 49.29–74.12) as well as in children 6–17 years old (54.37%; 95% CI: 35.14–73.60). In conclusion, in the pediatric population, influenza vaccination offered significant protection against influenza-related hospitalization and complete annual vaccination should be encouraged.

Introduction: The use of mechanical ventilation associated with acute hypoxemic respiratory failure, the most common complication in critically ill COVID-19 patients, defines a high risk population that requires specific consideration of outcomes and treatment practices.Areas covered: This review evaluates existing information about mortality rates and effectiveness of antiviral, immune-modulating, and anticoagulation treatments in COVID-19 patients who received mechanical ventilation. The mortality rate and follow-up periods in patients receiving mechanical ventilation ranged widely. Antivirals, including remdesivir and convalescent plasma, have shown no definitive mortality benefit in this population despite positive results in other COVID-19 patients. Dexamethasone was associated with an absolute reduction in 28-day mortality by 12.3% (95% CI, 6.3 to 17.6), after adjusting for age. Reduced mortality has been demonstrated with tocilizumab use alongside corticosteroids. Evidence is inconclusive for therapeutic anticoagulation, and further studies are needed to determine the comparative benefit of prophylactic anticoagulation.Expert opinion: Significant variation and high mortality rates in mechanically ventilated patients necessitate more standardized outcome measurements, increased consideration of risk factors to reduce intubation, and improved treatment practices. Anticoagulation and dexamethasone should be incorporated in the treatment of patients receiving invasive mechanical ventilation, while more rigorous studies are required for other potential treatments.

Long-term care facilities (LTCFs) have had a disproportionally high mortality rate due to COVID-19. We describe a rapidly escalating COVID-19 outbreak among 116 LTCF residents in Rhode Island, USA. Overall, 111 (95.6%) residents tested positive and, of these, 48 (43.2%) died. The most common comorbidities were hypertension (84.7%) and cardiovascular disease (84.7%). A small percentage (9%) of residents were asymptomatic, while 33.3% of residents were pre-symptomatic, with progression to symptoms within a median of three days following the positive test. While typical symptoms of fever (80.2%) and cough (43.2%) were prevalent, shortness of breath (14.4%) was rarely found despite common hypoxemia (95.5%). The majority of patients demonstrated atypical symptoms with the most common being loss of appetite (61.3%), lethargy (42.3%), diarrhea (37.8%), and fatigue (32.4%). Many residents had increased agitation (38.7%) and anxiety (5.4%), potentially due to the restriction measures or the underlying mental illness. The fever curve was characterized by an intermittent low-grade fever, often the first presenting symptom. Mortality was associated with a disease course beginning with a loss of appetite and lethargy, as well as one more often involving fever greater than 38 &deg, C, loss of appetite, altered mental status, diarrhea, and respiratory distress. Interestingly, no differences in age or comorbidities were noted between survivors and non-survivors. Taking demographic factors into account, treatment with anticoagulation was still associated with reduced mortality (adjusted OR 0.16, 95% C.I. 0.06&ndash, 0.39, p &lt, 0.001). Overall, the clinical features of the disease in this population can be subtle and the symptoms are commonly atypical. However, clinical decline among those who did not survive was often rapid with patients expiring within 10 days from disease detection. Further studies are needed to better explain the variability in clinical course of COVID-19 among LTCF residents, specifically the factors affecting mortality, the differences observed in symptom presentation, and rate of clinical decline.

Background Hospital readmissions are associated with poor patient outcomes and increased health resource utilisation. The need to study readmission patterns is even bigger during a pandemic because the burden is further stretching the healthcare system. Methods We reviewed the initial hospitalisation and subsequent readmission for 19 patients with confirmed COVID-19 in the largest statewide hospital network in Rhode Island, US, from March 1st through April 19th, 2020. We also compared the characteristics and clinical outcomes between readmitted and non-readmitted patients. Results Of the 339 hospitalised patients with COVID-19, 279 discharged alive. Among them, 19/279 were readmitted (6.8%) after a median of 5 days. There was a significantly higher rate of hypertension, diabetes, chronic pulmonary disease, liver disease, cancer and substance abuse among the readmitted compared with non-readmitted patients. The most common reasons of readmissions happening within 12 days from discharge included respiratory distress and thrombotic episodes, while those happening at a later time included psychiatric illness exacerbations and falls. The length of stay during readmission was longer than during index admission and more demanding on healthcare resources. Conclusion Among hospitalised patients with COVID-19, those readmitted had a higher burden of comorbidities than the non-readmitted. Within the first 12 days from discharge, readmission reasons were more likely to be associated with COVID-19, while those happening later were related to other reasons. Readmissions characterisation may help in defining optimal timing for patient discharge and ensuring safe care transition.

BackgroundThe efficacy of convalescent plasma (CP) for the treatment of coronavirus disease 2019 (COVID-19) remains unclear.MethodsIn a matched cohort analysis of hospitalized patients with severe COVID-19, the impact of CP treatment on in-hospital mortality was evaluated using univariate and multivariate Cox proportional-hazards models, and the impact of CP treatment on time to hospital discharge was assessed using a stratified log-rank analysis.ResultsIn total, 64 patients who received CP a median of 7 days after symptom onset were compared to a matched control group of 177 patients. The incidence of in-hospital mortality was 12.5% and 15.8% in the CP and control groups, respectively (P = .52). There was no significant difference in the risk of in-hospital mortality between the 2 groups (adjusted hazard ratio [aHR] 0.93, 95% confidence interval [CI] .39–2.20). The overall rate of hospital discharge was not significantly different between the 2 groups (rate ratio [RR] 1.28, 95% CI .91–1.81), although there was a significantly increased rate of hospital discharge among patients 65-years-old or greater who received CP (RR 1.86, 95% CI 1.03–3.36). There was a greater than expected frequency of transfusion reactions in the CP group (2.8% reaction rate observed per unit transfused).ConclusionsWe did not demonstrate a significant difference in risk of mortality or rate of hospital discharge between the CP and control groups. There was a signal for improved outcomes among the elderly, and further adequately powered randomized studies should target this subgroup when assessing the efficacy of CP treatment.

COVID-19 disproportionately affects patients with medical comorbidities such as cardiovascular disease (CVD). Patients with CVD are widely prescribed 3-hydroxy-3-methyl-glutayl-CoA (HMG-CoA) reductase inhibitors (statins), a class of lipid-lowering medications known for their pleiotropic anti-inflammatory and immunomodulatory effects. However, the relationship between statin use and COVID-19 outcomes is not fully understood. In this preliminary study, we explored the association between statin use and severe COVID-19 outcomes in hospitalized patients, including intensive care unit (ICU) admission, the need for invasive mechanical ventilation (IMV), and in-hospital death. We performed a retrospective cohort study of 249 patients hospitalized with COVID-19 from 3 March 2020 to 10 April 2020 in Rhode Island, USA. Patient demographics, past medical history, current medications, and hospital course were recorded and analyzed. A multivariate logistic regression analysis was conducted to examine associations. After adjusting for age, sex, race, cardiovascular disease, chronic pulmonary disease, diabetes, and obesity, statin use was significantly associated with decreased risk for IMV (adjusted Odds Ratio (aOR) = 0.45, 95% Confidence Interval (CI): 0.20&ndash, 0.99). Our results support the continued use of statins among COVID-19 patients and could have implications for future prospective studies on the management of COVID-19.

Aim To assess the efficacy and safety of hydroxychloroquine with or without azithromycin) in hospitalized adult patients with COVID-19. Methods We utilized a hospital based prospective data registry. The primary end point was to assess the impact of hydroxychloroquine with or without azithromycin, on outcome, length of hospitalization, and time to clinical improvement. We utilized treatment effects with inverse-probability-weighting and Cox proportional hazards models. All analyses accounted for age, gender, race, severity on admission, days from symptoms onset and chronic comorbidities. Results 36 patients received hydroxychloroquine and were age- and sex-matched to 72 patients with COVID-19 who received supportive care. Compared to supportive care, the use of HCQ did not shorten the time to clinical improvement (+0.23 days; 95% CI: −1.8–2.3 days) nor did it shorten the duration of hospital stay (+0.91 days; 95% CI: −1.1–2.9 days). Additionally, HCQ did not decrease the risk of COVID-19 in-hospital death (aHR 1.67; 95% CI: 0.29–9.36). Finally, we observed a slight QTc prolongation from a baseline of 444 ± 26 ms to 464 ± 32 ms (mean±SD) among patients receiving hydroxychloroquine with or without azithromycin. Conclusion This study did not yield benefits from hydroxychloroquine use in patients with COVID-19 and monitoring for adverse events is warranted. Nevertheless, the treatment was safely studied under the guidance of an antimicrobial stewardship program.

Influenza is increasingly recognized as a leading cause of morbidity and mortality in patients with hematologic malignancies and recipients of hematopoietic stem cell transplantation (HSCT). However, the impact of influenza on this population has not been previously evaluated in a systematic review. This study systematically reviewed and summarized the outcomes of influenza infection as to in-hospital influenza-related mortality, development of lower respiratory tract infection and acute respiratory distress syndrome, need for hospitalization, intensive care unit admission, and mechanical ventilation.We conducted a systematic search of literature using the PubMed and EMBASE databases for articles published from January 1989 through January 19, 2020, reporting laboratory-confirmed influenza in patients of any age with hematologic malignancies and HSCT. Time from transplantation was not included in the search criteria. The impact of antiviral therapy on influenza outcomes was not assessed due to heterogeneity in antiviral treatment provision across the studies. Patients with influenza-like illness, solid-tumor cancers, or nonmalignant hematologic diseases were excluded from the study. A random-effects meta-analysis was performed to estimate the prevalences and 95% CIs of each outcome of interest. A subgroup analysis was carried out to assess possible sources of heterogeneity and to evaluate the potential impact of age on the influenza infection outcomes. Heterogeneity was assessed using the IData from 52 studies providing data on 1787 patients were included in this analysis. During seasonal epidemics, influenza-related in-hospital mortality was 16.60% (95% CI, 7.49%-27.7%), with a significantly higher death rate in adults compared to pediatric patients (19.55% [95% CI, 10.59%-29.97%] vs 0.96% [95% CI, 0%-6.77%]; P0.001). Complications from influenza, such as lower respiratory tract infection, developed in 35.44% of patients with hematologic malignancies and HSCT recipients, with a statistically significant difference between adults and children (46.14% vs 19.92%; P0.001). However, infection resulted in a higher hospital admission rate in pediatric patients compared to adults (61.62% vs 22.48%; P0.001). For the 2009 H1N1 pandemic, no statistically significant differences were found between adult and pediatric patients when comparing the rates of influenza-related in-hospital mortality, lower respiratory tract infection, and hospital admission. Similarly, no significant differences were noted in any of the outcomes of interest when comparing H1N1 pandemic with seasonal epidemics.Regardless of influenza season, patients, and especially adults, with underlying hematologic malignancies and HSCT recipients with influenza are at risk for severe outcomes including lower respiratory tract infection and in-hospital mortality.

Background Complications following influenza infection are a major cause of morbidity and mortality, and the Centers for Disease Control Advisory Committee on Immunization Practices recommends universal annual vaccination. However, vaccination rates have remained significantly lower than the Department of Health and Human Services goal. The aim of this work was to assess the vaccination rate among patients who present to health care providers with influenza-like illness and identify groups with lower vaccination rates. Methods We performed a systematic search of the PubMed and EMBASE databases with a time frame of January 1, 2010, to March 1, 2019 and focused on the vaccination rate among patients seeking care for acute respiratory illness in the United States. A random effects meta-analysis was performed to estimate the pooled seasonal influenza vaccination rate, and we used a time trend analysis to identify differences in annual vaccination over time. Results The overall pooled influenza vaccination rate was 48.61% (whites: 50.87%; blacks: 36.05%; Hispanics: 41.45%). There was no significant difference among gender groups (men: 46.43%; women: 50.11%). Interestingly, the vaccination rate varied by age group and was significantly higher among adults aged >65 (78.04%) and significantly lower among children 9–17 years old (36.45%). Finally, we found a significant upward time trend in the overall influenza vaccination rate among whites (coef. = .0107; P = .027). Conclusions In conclusion, because of the significantly lower influenza vaccination rates in black and Hispanic communities, societal initiatives and community outreach programs should focus on these populations and on children and adolescents aged 9–17 years.

AIM To determine the overall rate of chest imaging findings in asymptomatic cases, describe the most common patterns found, and determine the rate of later symptom development in these initially asymptomatic cases. MATERIALS AND METHODS The PubMed and EMBASE databases were searched until 1 May 2020, for studies examining the proportion of positive chest imaging findings in asymptomatic cases diagnosed with COVID-19 and a random-effects meta-analysis of proportions was performed. Heterogeneity was assessed using the I2 statistic. RESULTS Among 858 non-duplicate studies, seven studies with a total of 231 asymptomatic cases met the inclusion criteria. In the primary analysis, the pooled estimate of the overall rate of positive chest computed tomography (CT) findings among asymptomatic cases was 63% (95% confidence interval [CI]: 44–78%). Among 155/231 cases that were followed up for later symptom development, 90/155 remained asymptomatic and 65/155 developed symptoms during the study period (that ranged between seven and 30 days of follow-up). The pooled estimate of the rate of positive chest CT findings was 62% (95% CI: 38–81%) in cases that remained asymptomatic, while it was 90% (95% CI: 49–99%) in cases that developed symptoms. Among CT findings, the pooled estimate of the overall rate of ground-glass opacities (GGO) at CT alone was 71% (95% CI: 50–86%). Among other CT findings reported, 22/231 patients had GGO with consolidation, 7/231 patients had stripe shadows with or without GGO, and 8/231 patients had GGO with interlobular septal thickening. Among initially asymptomatic cases with positive CT findings, the pooled estimate of the overall rate of later symptom development was 26% (95% CI: 14–43%). CONCLUSION In COVID-19, asymptomatic cases can have positive chest CT findings, and COVID-19 should be considered among cases with CT abnormalities even when there are no other symptoms. There is a need for close clinical monitoring of asymptomatic cases with radiographic findings as a significant percentage will develop symptoms., Highlights • In COVID-19, asymptomatic cases can have positive chest CT findings. • COVID-19 should be considered among cases with CT findings even without symptoms. • Clinical monitoring of asymptomatic cases with radiographic findings is needed. • A significant percent of asymptomatic cases with CT findings will develop symptoms.

Supplemental Digital Content is available in the text, We evaluated the statewide burden of obesity and its complications among government and state funded programs (Medicare and Medicaid) and commercial insurance. We calculated the prevalence of obesity and the prevalence of relevant comorbidities among different demographic groups and based on health insurance, among adults (18–65 years old) who visited a statewide health network in the state of Rhode Island, in 2017. The overall prevalence of obesity among 74,089 individuals was 38.88% [Asians 16.77%, Whites 37.49%, Hispanics 44.23%, and Blacks 48.44%]. Medicare or Medicaid beneficiaries were 26% and 27%, respectively, more likely to have obesity than those who had commercial insurance (Odds Ratio:1.26, 95% confidence interval [CI]:1.20–1.32; Odds Ratio:1.27, 95%CI:1.22–1.32). Moreover, Medicaid and Medicare beneficiaries with obesity had a higher prevalence of diabetes compared with privately insured with obesity (10.58% and 10.44% vs 4.45%). Medicare beneficiaries with obesity had a statistically higher prevalence of ischemic heart disease (4.34%, 95%CI: 3.77–4.91) than privately insured (3.21%, 95%CI: 2.94–3.47). Based on statewide data among 18 to 65 years old adults, Medicare and Medicaid provide health coverage to 40% of individuals with obesity and 46% of those with the obesity-related comorbidities and complications. State and federal health care programs need to support and expand obesity-related services and coverage.

Background The complex epidemiology of obesity includes environmental factors. We examined how accessibility to fast food restaurants and green spaces is associated with obesity. Methods We used geocoded body mass index values of 20,927 subjects that visited the largest statewide health care network in Rhode Island. Spatial analysis and logistic regression were used to examine the association of obesity at the individual level, and obesity hot and cold spots with the accessibility to fast food restaurants and green space areas. Results The age-adjusted prevalence of obesity in our sample was 33%. Obese subjects were less likely to live in neighborhoods with the highest accessibility to green space areas (odds ratio [OR] 0.89; 95% confidence interval [CI], 0.81-0.97), compared with neighborhoods with low accessibility. Obese subjects were more likely to live in neighborhoods with medium or high accessibility to fast food restaurants (OR 1.22; 95% CI, 1.14-1.31; OR 1.20; 95% CI, 1.10-1.32, respectively). Looking at obesity clustering, hot spots were 18% and 21% less likely to be located in neighborhoods with medium and high accessibility to green space areas, respectively (OR 0.82; 95% CI, 0.76-0.88; OR 0.79; 95% CI, 0.71-0.86). In contrast, hot spots were 1.65 and 4.81 times more likely to be located in neighborhoods with medium and high accessibility to fast food restaurants, respectively (OR 1.65; 95% CI, 1.53-1.77; OR 4.81; 95% CI, 4.39-5.27, respectively). Conclusions Accessibility to fast food restaurants is positively associated with the presence of obesity hot spots, while access to green space areas is associated with decreased neighborhood obesity rates.