A Versatile Prison Psychiatric Pharmacy Program.

BACKGROUND: Before the coronavirus disease 2019 (COVID-19) pandemic, 20% of the adult population in the United States experienced mental illness annually. Since the COVID-19 pandemic, 93% of countries have reported disruptions to mental health services. The demand for services is high whereas infrastructure and qualified professionals are appallingly low. Health care in the correctional setting is unique, where mental illness prevalence is double than that in the community. The intersection of policies and procedures and the beneficence plus nonmaleficence responsibility of health care professionals is exceptionally complex. Studies have shown the potential benefits of pharmacists following patients in chronic care psychiatry visits. OBJECTIVES: An inpatient psychiatric pharmacy clinic was launched to fill gaps to provide safe and up-to-date patient-centric services for more than 240 extremely psychiatrically ill inmate patients at the Federal Correctional Center Butner (FCC Butner), a Federal Bureau of Prisons medical center. METHODS: The inpatient psychiatric pharmacist practiced independently under a collaborative practice agreement and completed mental health clinical visits for a revolving portion of 240 inpatient mental health inmate patients at FCC Butner. The pharmacist provided ancillary services including completing movement disorder testing, monitoring narrow therapeutic index medication laboratory test results, and executing an antipsychotic psychoeducation meeting with other health care departments and inmate patients. RESULTS: Notably, 74% of patients monitored in the specialty program experienced stable or improved symptoms of depression, schizophrenia, and bipolar disorder. Adverse effects, particularly psychiatric-related movement disorders, were also more closely managed. Finally, 43% of the total inmate patient population who previously declined psychiatric medication treatment consented to begin treatment after participation in a pilot antipsychotic psychoeducation meeting. CONCLUSION: The inpatient psychiatric pharmacy program at FCC Butner is a dynamic program that has bolstered the facility's health care mission. The services detailed in this article can be applied to other correctional environments that have a medical outpatient or inpatient presence.

A centennial review of discoveries and advances in diabetes: Children and youth.

Diabetes is an increasingly common chronic metabolic disorder in children worldwide. The discovery of insulin in 1921 resulted in unprecedented advancements that improved the lives of children and youth with diabetes. The purpose of this article is to review the history of diabetes in children and youth over the last century and its implications for future developments in the field. We identified 68 relevant events between 1921 and 2021 through literature review and survey of pediatric endocrinologists. Basic research milestones led to the discovery of insulin and other regulatory hormones, established the normal physiology of carbohydrate metabolism and pathophysiology of diabetes, and provided insight into strategies for diabetes prevention. While landmark clinical studies were initially focused on adult diabetes populations, later studies assessed etiologic factors in birth cohort studies, evaluated technology use among children with diabetes, and investigated pharmacologic management of youth type 2 diabetes. Technological innovations culminated in the introduction of continuous glucose monitoring that enabled semi-automated insulin delivery systems. Finally, professional organizations collaborated with patient groups to advocate for the needs of children with diabetes and their families. Together, these advances transformed type 1 diabetes from a terminal illness to a manageable disease with near-normal life expectancy and increased our knowledge of type 2 diabetes and other forms of diabetes in the pediatric population. However, disparities in access to insulin, diabetes technology, education, and care support remain and disproportionately impact minority youth and communities with less resources. The overarching goal of diabetes management remains promoting a high quality of life and improving glycemic management without undermining the psychological health of children and youth living with diabetes.

Impact of diabetes status and related factors on COVID-19-associated hospitalization: A nationwide retrospective cohort study of 116,370 adults with SARS-CoV-2 infection.

AIMS: We examined diabetes status (no diabetes; type 1 diabetes [T1D]; type 2 diabetes [T2D]) and other demographic and clinical factors as correlates of coronavirus disease 2019 (COVID-19)-related hospitalization. Further, we evaluated predictors of COVID-19-related hospitalization in T1D and T2D. METHODS: We analyzed electronic health record data from the de-identified COVID-19 database (December 2019 through mid-September 2020; 87 US health systems). Logistic mixed models were used to examine predictors of hospitalization at index encounters associated with confirmed SARS-CoV-2 infection. RESULTS: In 116,370 adults (>=18 years old) with COVID-19 (93,098 no diabetes; 802 T1D; 22,470 T2D), factors that independently increased risk for hospitalization included diabetes, male sex, public health insurance, decreased body mass index (BMI; <25.0-29.9 kg/m2), increased BMI (>25.0-29.9 kg/m2), vitamin D deficiency/insufficiency, and Elixhauser comorbidity score. After further adjustment for concurrent hyperglycemia and acidosis in those with diabetes, hospitalization risk was substantially higher in T1D than T2D and in those with low vitamin D and elevated hemoglobin A1c (HbA1c). CONCLUSIONS: The higher hospitalization risk in T1D versus T2D warrants further investigation. Modifiable risk factors such as vitamin D deficiency/insufficiency, BMI, and elevated HbA1c may serve as prognostic indicators for COVID-19-related hospitalization in adults with diabetes.

Cardiac Magnetic Resonance Imaging for the Diagnosis of Infective Endocarditis in the COVID-19 Era

Introduction In the COVID-19 pandemic, to minimize aerosol-generating procedures, cardiac magnetic resonance imaging (CMR) was utilized at our institution as an alternative to transesophageal echocardiography (TEE) for diagnosing infective endocarditis (IE). Methods This retrospective study evaluated the clinical utility of CMR for detecting IE among 14 patients growing typical microorganisms on blood cultures or meeting modified Duke criteria. Results 7 cases were treated for IE. In 2 cases, CMR results were notable for possible leaflet vegetations and were clinically meaningful in guiding antibiotic therapy, obtaining further imaging, and/or pursuing surgical intervention. In 2 cases, vegetations were missed on CMR but detected on TEE. In 3 cases, CMR was nondiagnostic, but patients were treated empirically. There was no difference in antibiotic duration or outcomes over 1 year. Conclusion CMR demonstrated mixed results in diagnosing valvular vegetations and guiding clinical decision making. Further prospective controlled trials of CMR vs TEE are warranted.

Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study.

BACKGROUND: In the United States, COVID-19 is a nationally notifiable disease, meaning cases and hospitalizations are reported by states to the Centers for Disease Control and Prevention (CDC). Identifying and reporting every case from every facility in the United States may not be feasible in the long term. Creating sustainable methods for estimating the burden of COVID-19 from established sentinel surveillance systems is becoming more important. OBJECTIVE: We aimed to provide a method leveraging surveillance data to create a long-term solution to estimate monthly rates of hospitalizations for COVID-19. METHODS: We estimated monthly hospitalization rates for COVID-19 from May 2020 through April 2021 for the 50 states using surveillance data from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) and a Bayesian hierarchical model for extrapolation. Hospitalization rates were calculated from patients hospitalized with a lab-confirmed SARS-CoV-2 test during or within 14 days before admission. We created a model for 6 age groups (0-17, 18-49, 50-64, 65-74, 75-84, and ≥85 years) separately. We identified covariates from multiple data sources that varied by age, state, and month and performed covariate selection for each age group based on 2 methods, Least Absolute Shrinkage and Selection Operator (LASSO) and spike and slab selection methods. We validated our method by checking the sensitivity of model estimates to covariate selection and model extrapolation as well as comparing our results to external data. RESULTS: We estimated 3,583,100 (90% credible interval [CrI] 3,250,500-3,945,400) hospitalizations for a cumulative incidence of 1093.9 (992.4-1204.6) hospitalizations per 100,000 population with COVID-19 in the United States from May 2020 through April 2021. Cumulative incidence varied from 359 to 1856 per 100,000 between states. The age group with the highest cumulative incidence was those aged ≥85 years (5575.6; 90% CrI 5066.4-6133.7). The monthly hospitalization rate was highest in December (183.7; 90% CrI 154.3-217.4). Our monthly estimates by state showed variations in magnitudes of peak rates, number of peaks, and timing of peaks between states. CONCLUSIONS: Our novel approach to estimate hospitalizations for COVID-19 has potential to provide sustainable estimates for monitoring COVID-19 burden as well as a flexible framework leveraging surveillance data.

Fluvoxamine in Nonhospitalized Patients With Acute COVID-19 Infection and the Lack of Efficacy in Reducing Rates of Hospitalization, Mechanical Ventilation, and Mortality in Placebo-Controlled Trials: A Systematic Review and Meta-Analysis.

BACKGROUND: Recent clinical trials have investigated the use of fluvoxamine in preventing clinical deterioration in nonhospitalized patients with acute COVID-19 infection via stimulation of sigma-1 receptors, which regulates cytokine production and functional inhibition of acid sphingomyelinase activity, which may prevent infection of epithelial cells with SARS-CoV-2. However, the role of fluvoxamine is currently unclear because of a paucity of studies, particularly because the drug is being repurposed as an immunomodulatory and antiviral agent. STUDY QUESTION: Aim of our meta-analysis was to investigate the efficacy of fluvoxamine in nonhospitalized patients with acute COVID-19 infection. DATA SOURCE: Comprehensive literature search of PubMed, Embase, Cochrane Library databases, and Web of Science was performed from inception to February 10, 2022, for studies comparing fluvoxamine versus placebo for outpatient management of COVID-19. STUDY DESIGN: The primary outcome of interest was rate of hospitalization. The secondary outcomes were rates of patients requiring mechanical ventilation and mortality. The random-effects model was used to calculate the risk ratios (RR) and confidence intervals (CI). A P value <0.05 was considered statistically significant. Heterogeneity was assessed using the Higgins I2 index. RESULTS: Three studies (2 randomized controlled trials and one prospective cohort trial) involving 1762 patients were included in the meta-analysis. In patients who received fluvoxamine compared with placebo, there was no significant difference in rates of hospitalization (RR 0.26, 95% CI, 0.04-1.73, P = 0.16, I2 = 62%), mechanical ventilation (RR 0.73, 95% CI, 0.45-1.19, P = 0.21, I2 = 0%), and mortality (RR 0.67, 95% CI, 0.37-1.22, P = 0.19, I2 = 0%). CONCLUSION: Current evidence does not indicate a significant effect of fluvoxamine on the rates of hospitalization, mechanical ventilation, and mortality of patients with COVID-19 infection.

COVID-19 Management Missteps.

In December 2019, the first case of a novel coronavirus infectious disease, coronavirus disease 2019 (COVID-19), was identified in the province of Wuhan, China. Since the initial identification on March 11, 2020, by the World Health Organization (WHO), COVID-19 had rapidly spread all over the world, leading to the declaration of COVID-19 as a pandemic. In response to the exponential trend of reported confirmed cases, national governments worked quickly to devise plans to combat the spread and to soften the consequences which were to follow. Two primary approaches included limiting the spread of the virus and increasing hospital capacity. The implementation of these strategies, however, varied greatly among different governments and their respective populations. Countries developed similar guidelines in response to COVID-19, but with a variation. Many of these guidelines were similar in that they fell under the same general topics such as the use of facial masks, social distancing, and online learning. The effect of COVID-19 on public health was more reliant on the implementation of these recommendations rather than the recommendations themselves.  The medical therapies used to treat the widespread COVID-19 disease are flourishing and evolving rapidly. Ongoing research shows that the spectrum of treatment for COVID-19 varies from pharmacological and non-pharmacological therapeutic interventions. Some of the treatments that are being used in clinical practice include supportive care, antiviral drugs, immunomodulatory agents, convalescent plasma transfusion, and monoclonal antibody treatments. In addition, the most promising approach thus far is the COVID-19 vaccine developed by Pfizer-BioNTech, Moderna, and most recently Johnson & Johnson. Overall, as various treatment approaches are being explored and administered to people globally, it is important to acknowledge that there is currently no definite cure or any evidence-based treatment for COVID-19.  COVID-19 infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have brought devastating consequences to the lives of millions of people through their health effects and the failure of global initiatives to contain it. A review of many missteps that potentially could have altered the landscape for this virus to affect the lives of many is discussed with hope for a better approach going forward.

Insourcing and scaling a telemedicine solution in under 2 weeks: Lessons for the digital transformation of health care.

The Covid-19 pandemic required rapid scale of telemedicine as well as other digital workflows to maintain access to care while reducing infection risk. Both patients and clinicians who hadn't used telemedicine before were suddenly faced with a multi-step setup process to log into a virtual meeting. Unlike in-person examination rooms, locking a virtual meeting room was more error-prone and posed a risk of multiple patients joining the same online session. There was administrative burden on the practice staff who were generating and manually sending links to patients, and educating patients on device set up was time-consuming and unsustainable. A solution had to be deployed rapidly system-wide, without the usual roll out across months. Our answer was to design and implement a novel EHR-integrated web application called the Switchboard, in just two weeks. The Switchboard leverages a commercial, cloud-based video meeting platform and facilitates an end-to-end virtual care encounter workflow, from pre-visit reminders to post-visit SMS text message-based measurement of patient experience, with tools to extend contact-less workflows to in-person appointments. Over the first 11 months of the pandemic, the in-house platform has been adopted across 6 hospitals and >200 practices, scaled to 8,800 clinicians who at their peak conducted an average of 30,000 telemedicine appointments/week, and enabled over 10,000-20,000 text messages/day to be exchanged through the platform. Furthermore, it enabled our organization to convert from an average of 75% of telehealth visits being conducted via telephone to 75% conducted via video within weeks.

Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach.

BACKGROUND: In the United States, Coronavirus Disease 2019 (COVID-19) deaths are captured through the National Notifiable Disease Surveillance System and death certificates reported to the National Vital Statistics System (NVSS). However, not all COVID-19 deaths are recognized and reported because of limitations in testing, exacerbation of chronic health conditions that are listed as the cause of death, or delays in reporting. Estimating deaths may provide a more comprehensive understanding of total COVID-19-attributable deaths. METHODS: We estimated COVID-19 unrecognized attributable deaths, from March 2020-April 2021, using all-cause deaths reported to NVSS by week and six age groups (0-17, 18-49, 50-64, 65-74, 75-84, and ≥85 years) for 50 states, New York City, and the District of Columbia using a linear time series regression model. Reported COVID-19 deaths were subtracted from all-cause deaths before applying the model. Weekly expected deaths, assuming no SARS-CoV-2 circulation and predicted all-cause deaths using SARS-CoV-2 weekly percent positive as a covariate were modelled by age group and including state as a random intercept. COVID-19-attributable unrecognized deaths were calculated for each state and age group by subtracting the expected all-cause deaths from the predicted deaths. FINDINGS: We estimated that 766,611 deaths attributable to COVID-19 occurred in the United States from March 8, 2020-May 29, 2021. Of these, 184,477 (24%) deaths were not documented on death certificates. Eighty-two percent of unrecognized deaths were among persons aged ≥65 years; the proportion of unrecognized deaths were 0•24-0•31 times lower among those 0-17 years relative to all other age groups. More COVID-19-attributable deaths were not captured during the early months of the pandemic (March-May 2020) and during increases in SARS-CoV-2 activity (July 2020, November 2020-February 2021). INTERPRETATION: Estimating COVID-19-attributable unrecognized deaths provides a better understanding of the COVID-19 mortality burden and may better quantify the severity of the COVID-19 pandemic. FUNDING: None.

Estimated Incidence of Coronavirus Disease 2019 (COVID-19) Illness and Hospitalization-United States, February-September 2020.

BACKGROUND: In the United States, laboratory-confirmed coronavirus disease 2019 (COVID-19) is nationally notifiable. However, reported case counts are recognized to be less than the true number of cases because detection and reporting are incomplete and can vary by disease severity, geography, and over time. METHODS: To estimate the cumulative incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, symptomatic illnesses, and hospitalizations, we adapted a simple probabilistic multiplier model. Laboratory-confirmed case counts that were reported nationally were adjusted for sources of underdetection based on testing practices in inpatient and outpatient settings and assay sensitivity. RESULTS: We estimated that through the end of September, 1 of every 2.5 (95% uncertainty interval [UI]: 2.0-3.1) hospitalized infections and 1 of every 7.1 (95% UI: 5.8-9.0) nonhospitalized illnesses may have been nationally reported. Applying these multipliers to reported SARS-CoV-2 cases along with data on the prevalence of asymptomatic infection from published systematic reviews, we estimate that 2.4 million hospitalizations, 44.8 million symptomatic illnesses, and 52.9 million total infections may have occurred in the US population from 27 February-30 September 2020. CONCLUSIONS: These preliminary estimates help demonstrate the societal and healthcare burdens of the COVID-19 pandemic and can help inform resource allocation and mitigation planning.

SARS-CoV-2 infection and paediatric endocrine disorders: Risks and management considerations.

Background: Coronavirus-19 (COVID-19) is a disease caused by the SARS-CoV-2 virus, the seventh coronavirus identified as causing disease in humans. The SARS-CoV-2 virus has multiple potential pathophysiologic interconnections with endocrine systems, potentially causing disturbances in glucose metabolism, hypothalamic and pituitary function, adrenal function and mineral metabolism. A growing body of data is revealing both the effects of underlying endocrine disorders on COVID-19 disease outcome and the effects of the SARS-CoV-2 virus on endocrine systems. However, comprehensive assessment of the relationship to endocrine disorders in children has been lacking. Content: In this review, we present the effects of SARS-CoV-2 infection on endocrine systems and review the current literature on complications of COVID-19 disease in underlying paediatric endocrine disorders. We provide recommendations on management of endocrinopathies related to SARS-CoV-2 infection in this population. Summary and outlook: With the surge in COVID-19 cases worldwide, it is important for paediatric endocrinologists to be aware of the interaction of SARS-CoV-2 with the endocrine system and management considerations for patients with underlying disorders who develop COVID-19 disease. While children and adults share some risk factors that influence risk of complications in SARS-CoV-2 infection, it is becoming clear that responses in the paediatric population are distinct and outcomes from adult studies cannot be extrapolated. Evidence emerging from paediatric studies provides some guidance but highlights the need for more research in this area.

Diabetic ketoacidosis drives COVID-19 related hospitalizations in children with type 1 diabetes.

BACKGROUND: Diabetes is a risk factor for poor COVID-19 outcomes, but pediatric patients with type 1 diabetes are poorly represented in current studies. METHODS: T1D Exchange coordinated a US type 1 diabetes COVID-19 registry. Forty-six diabetes centers submitted pediatric cases for patients with laboratory confirmed COVID-19. Associations between clinical factors and hospitalization were tested with Fisher's Exact Test. Logistic regression was used to calculate odds ratios for hospitalization. RESULTS: Data from 266 patients with previously established type 1 diabetes aged <19 years with COVID-19 were reported. Diabetic ketoacidosis (DKA) was the most common adverse outcome (n = 44, 72% of hospitalized patients). There were four hospitalizations for severe hypoglycemia, three hospitalizations requiring respiratory support (one of whom was intubated and mechanically ventilated), one case of multisystem inflammatory syndrome in children, and 10 patients who were hospitalized for reasons unrelated to COVID-19 or diabetes. Hospitalized patients (n = 61) were more likely than nonhospitalized patients (n = 205) to have minority race/ethnicity (67% vs 39%, P < 0.001), public insurance (64% vs 41%, P < 0.001), higher A1c (11% [97 mmol/mol] vs 8.2% [66 mmol/mol], P < 0.001), and lower insulin pump and lower continuous glucose monitoring use (26% vs 54%, P < 0.001; 39% vs 75%, P < 0.001). Age and gender were not associated with risk of hospitalization. Higher A1c was significantly associated with hospitalization, with an odds ratio of 1.56 (1.34-1.84) after adjusting for age, gender, insurance, and race/ethnicity. CONCLUSIONS: Higher A1c remained the only predictor for hospitalization with COVID-19. Diabetic ketoacidosis is the primary concern among this group.

Text Messaging Real-Time COVID-19 Clinical Guidance to Hospital Employees.

BACKGROUND: During the initial days of the coronavirus disease 2019 (COVID-19) pandemic, hospital-wide practices rapidly evolved, and hospital employees became a critical population for receiving consistent and timely communication about these changes. OBJECTIVES: We aimed to rapidly implement enterprise text messaging as a crisis communication intervention to deliver key COVID-related safety and practice information directly to hospital employees. METHODS: Utilizing a secure text-messaging platform already routinely used in direct patient care, we sent 140-character messages containing targeted pandemic-related updates to on-duty hospital employees three times per week for 13 weeks. This innovation was evaluated through the analysis of aggregate "read" receipts from each message. Effectiveness was assessed by rates of occupational exposures to COVID-19 and by two cross-sectional attitudinal surveys administered to all text-message recipients. RESULTS: On average, each enterprise text message was sent to 1,997 on-duty employees. Analysis of "read" receipts revealed that on average, 60% of messages were consistently read within 24 hours of delivery, 34% were read in 2 hours, and 16% were read in 10 minutes. Readership peaked and fell in the first week of messaging but remained consistent throughout the remainder of the intervention. A survey administered after 2 weeks revealed that 163 (79%) users found enterprise texts "valuable," 152 (73%) users would recommend these texts to their colleagues, and 114 (55%) users preferred texts to email. A second survey at 9 weeks revealed that 109 (80%) users continued to find texts "valuable." Enterprise messaging, in conjunction with the system's larger communication strategy, was associated with a decrease in median daily occupational exposure events (nine events per day premessaging versus one event per day during messaging). CONCLUSION: Enterprise text messages sent to hospital-employee smartphones are an efficient and effective strategy for urgent communications. Hospitals may wish to leverage this technology during times of routine operations and crisis management.

Asthma among hospitalized patients with COVID-19 and related outcomes.

BACKGROUND: Several underlying conditions have been associated with severe acute respiratory syndrome coronavirus 2 illness, but it remains unclear whether underlying asthma is associated with worse coronavirus disease 2019 (COVID-19) outcomes. OBJECTIVE: Given the high prevalence of asthma in the New York City area, our objective was to determine whether underlying asthma was associated with poor outcomes among hospitalized patients with severe COVID-19 compared with patients without asthma. METHODS: Electronic heath records were reviewed for 1298 sequential patients 65 years or younger without chronic obstructive pulmonary disease who were admitted to our hospital system with a confirmed positive severe acute respiratory syndrome coronavirus 2 test result. RESULTS: The overall prevalence of asthma among all hospitalized patients with COVID-19 was 12.6%, yet a higher prevalence (23.6%) was observed in the subset of 55 patients younger than 21 years. There was no significant difference in hospital length of stay, need for intubation, length of intubation, tracheostomy tube placement, hospital readmission, or mortality between patients with and without asthma. Observations between patients with and without asthma were similar when stratified by obesity, other comorbid conditions (ie, hypertension, hyperlipidemia, and diabetes), use of controller asthma medication, and absolute eosinophil count. CONCLUSIONS: Among hospitalized patients 65 years or younger with severe COVID-19, asthma diagnosis was not associated with worse outcomes, regardless of age, obesity, or other high-risk comorbidities. Future population-based studies are needed to investigate the risk of developing COVID-19 among patients with asthma once universal testing becomes readily available.

Pediatric COVID-19: Systematic review of the literature.

OBJECTIVES: There is limited data regarding the demographics and clinical features of SARS-CoV-2 infection in children. This information is especially important as pneumonia is the single leading cause of death in children worldwide. This Systematic Review aims to elucidate a better understanding of the global impact of COVID-19 on the pediatric population. METHODS: A systematic review of the literature was performed in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to gain insight into pediatric COVID-19 epidemiology. Specifically, Pubmed and Google Scholar databases were searched to identify any relevant article with a focus on Pediatric Covid 19, Pediatric Covid-19, Pediatric SARS-COV-2, and Pediatric Coronavirus 19. References within the included articles were reviewed. All articles that met criteria where analyzed for demographics, clinical, laboratory, radiographic, treatment and outcomes data. RESULTS: Ten studies including two case series and 8 retrospective chart reviews, altogether describing a total of 2914 pediatric patients with COVID-19 were included in this systematic review. Of the patients whose data was available, 56% were male, the age range was 1 day to 17 years, 79% were reported to have no comorbidities, and of the 21% with comorbidities, the most common were asthma, immunosupression, and cardiovascular disease. Of pediatric patients that were tested and positive for an infection with SARS-CoV-2, patients were asymptomatic, 14.9% of the time. Patients presented with cough (48%), fever (47%) and sore throat/pharyngitis (28.6%), more commonly than with upper respiratory symptoms/rhinorrhea/sneezing/nasal congestion (13.7%), vomiting/nausea (7.8%) and diarrhea (10.1%). Median lab values including those for WBC, lymphocyte count and CRP, were within the reference ranges with the exception of procalcitonin levels, which were slightly elevated in children with COVID-19 (median procalcitonin levels ranged from 0.07 to 0.5 ng/mL. Computed tomography (CT) results suggest that unilateral CT imaging findings are present 36% of cases while 64% of pediatric patients with COVID-19 had bilateral findings. Of the studies with age specific hospitalization data available, 27.0% of patients hospitalized were infants under 1 year of age. Various treatment regimens including interferon, antivirals, and hydroxychloroquine therapies have been trialed on the pediatric population but there are currently no studies showing efficacy of one regimen over the other. The mortality rate of children that were hospitalized with COVID-19 was 0.18%. CONCLUSION: In contrast to adults, most infected children appear to have a milder course and have better outcomes overall. Additional care may be needed for children with comorbidities and younger children. This review also suggests that unilateral CT chest imaging findings were seen in 36.4% pediatric COVID-19 patients. This is particularly concerning as the work-up of pediatric patients with cough may warrant a bronchoscopy to evaluate for airway foreign bodies. Extra precautions need to be taken with personal protective equipment for these cases, as aerosolizing procedures may be a method of viral transmission. LEVEL OF EVIDENCE: 4 (Systematic Review).