Impact of respiratory viral infections on nasopharyngeal pneumococcal colonization dynamics in children.

PURPOSE OF REVIEW: Prevention of acute respiratory illnesses (ARI) in children is a global health priority, as these remain a leading cause of pediatric morbidity and mortality throughout the world. As new products and strategies to prevent respiratory infections caused by important pathogens such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, respiratory syncytial virus and pneumococcus are advancing, increasing evidence suggests that these and other respiratory viruses and pneumococci may exhibit interactions that are associated with altered colonization and disease dynamics. We aim to review recent data evaluating interactions between respiratory viruses and pneumococci in the upper respiratory tract and their potential impact on pneumococcal colonization patterns and disease outcomes. RECENT FINDINGS: While interactions between influenza infection and subsequent increased susceptibility and transmissibility of colonizing pneumococci have been widely reported in the literature, emerging evidence suggests that human rhinovirus, SARS-CoV-2, and other viruses may also exhibit interactions with pneumococci and alter pneumococcal colonization patterns. Additionally, colonizing pneumococci may play a role in modifying outcomes associated with respiratory viral infections. Recent evidence suggests that vaccination with pneumococcal conjugate vaccines, and prevention of colonization with pneumococcal serotypes included in these vaccines, may be associated with reducing the risk of subsequent viral infection and the severity of the associated illnesses. SUMMARY: Understanding the direction and dynamics of viral-pneumococcal interactions may elucidate the potential effects of existing and emerging viral and bacterial vaccines and other preventive strategies on the health impact of these important respiratory pathogens.

Clinical prediction model: Multisystem inflammatory syndrome in children versus Kawasaki disease.

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious complication of severe acute respiratory syndrome coronavirus 2 infection. Features of MIS-C overlap with those of Kawasaki disease (KD). OBJECTIVE: The study objective was to develop a prediction model to assist with this diagnostic dilemma. METHODS: Data from a retrospective cohort of children hospitalized with KD before the coronavirus disease 2019 pandemic were compared to a prospective cohort of children hospitalized with MIS-C. A bootstrapped backwards selection process was used to develop a logistic regression model predicting the probability of MIS-C diagnosis. A nomogram was created for application to individual patients. RESULTS: Compared to children with incomplete and complete KD (N = 602), children with MIS-C (N = 105) were older and had longer hospitalizations; more frequent intensive care unit admissions and vasopressor use; lower white blood cell count, lymphocyte count, erythrocyte sedimentation rate, platelet count, sodium, and alanine aminotransferase; and higher hemoglobin and C-reactive protein (CRP) at admission. Left ventricular dysfunction was more frequent in patients with MIS-C, whereas coronary abnormalities were more common in those with KD. The final prediction model included age, sodium, platelet count, alanine aminotransferase, reduction in left ventricular ejection fraction, and CRP. The model exhibited good discrimination with AUC 0.96 (95% confidence interval: [0.94-0.98]) and was well calibrated (optimism-corrected intercept of -0.020 and slope of 0.99). CONCLUSIONS: A diagnostic prediction model utilizing admission information provides excellent discrimination between MIS-C and KD. This model may be useful for diagnosis of MIS-C but requires external validation.

Metabolomic Signatures Differentiate Immune Responses in Avian Influenza Vaccine Recipients.

BACKGROUND: Avian influenza viruses pose significant risk to human health. Vaccines targeting the hemagglutinin of these viruses are poorly immunogenic without the use of adjuvants. METHODS: Twenty healthy men and women (18-49 years of age) were randomized to receive two doses of inactivated influenza A/H5N1 vaccine alone (IIV) or with AS03 adjuvant (IIV-AS03) one month apart. Urine and serum samples were collected on day 0 and on days 1, 3, and 7 following first vaccination and subjected to metabolomics analyses to identify metabolites, metabolic pathways, and metabolite clusters associated with immunization. RESULTS: Seventy-three differentially abundant (DA) serum and 88 urine metabolites were identified for any post-vaccination day comparison. Pathway analysis revealed enrichment of tryptophan, tyrosine and nicotinate metabolism in urine and serum among IIV-AS03 recipients. Increased urine abundance of 4-vinylphenol sulfate on Day 1 was associated with serologic response based on hemagglutination inhibition responses. In addition, 9 DA urine metabolites were identified in participants with malaise compared to those without. CONCLUSIONS: Our findings suggest that tryptophan, tyrosine, and nicotinate metabolism are upregulated among IIV-AS03 recipients compared with IIV alone. Metabolites within these pathways may serve as measures of immunogenicity and may provide mechanistic insights for adjuvanted vaccines.

Antibiotic prescribing practices for acute respiratory illness in children less than 24 months of age in Kenema, Sierra Leone: is it time to move beyond algorithm driven decision making?

BACKGROUND: Lower respiratory tract infections are the leading cause of mortality in young children globally. In many resource-limited settings clinicians rely on guidelines such as IMCI or ETAT + that promote empiric antibiotic utilization for management of acute respiratory illness (ARI). Numerous evaluations of both guidelines have shown an overall positive response however, several challenges have also been reported, including the potential for over-prescribing of unnecessary antibiotics. The aims of this study were to describe the antibiotic prescribing practices for children less than 24 months of age with symptoms of ARI, that were admitted to Kenema Government Hospital (KGH) in the Eastern Province of Sierra Leone, and to identify the number of children empirically prescribed antibiotics who were admitted to hospital with ARI, as well as their clinical signs, symptoms, and outcomes. METHODS: We conducted a prospective study of children < 24 months of age admitted to the KGH pediatric ward with respiratory symptoms between October 1, 2020 and May 31, 2022. Study nurses collected data on demographic information, medical and medication history, and information on clinical course while hospitalized. RESULTS: A total of 777 children were enrolled. Prior to arrival at the hospital, 224 children (28.8%) reported taking an antibiotic for this illness without improvement. Only 15 (1.9%) children received a chest radiograph to aid in diagnosis and 100% of patients were placed on antibiotics during their hospital stay. CONCLUSIONS: Despite the lives saved, reliance on clinical decision-support tools such as IMCI and ETAT + for pediatric ARI, is resulting in the likely over-prescribing of antibiotics. Greater uptake of implementation research is needed to develop strategies and tools designed to optimize antibiotic use for ARI in LMIC settings. Additionally, much greater priority needs to be given to ensuring clinicians have the basic tools for clinical diagnosis, as well as greater investments in essential laboratory and radiographic diagnostics that help LMIC clinicians move beyond the sole reliance on algorithm based clinical decision making.

Pooling of six respiratory samples for the detection of SARS-CoV-2: A validation and cost study in a cohort in Lima, Peru.

Background: The continuous evolution of the SARS-CoV-2 pandemic has led to a high demand for diagnostic testing and major shortages in testing materials, especially in low- and middle-income countries. As an alternative to testing individual samples, pooling of respiratory samples has been suggested. Previous studies have assessed performance of pooling, mainly using nasopharyngeal samples for the detection of SARS-CoV-2, but few studies have examined the performance of pooling the more practical nasal swabs or saliva samples. Objective: To evaluate the sensitivity, specificity, and potential cost reduction of pooling of nasal swab (NS) and saliva (SL) samples for detection of SARS-CoV-2 in a community-based cohort study in Lima, Peru. Study design: A prospective cohort study was conducted in a community setting in San Juan de Lurigancho, Lima-Peru. NS and SL samples were collected from 132 participants twice-a-week for a 2-month period. Pools of 2 to 12 samples of the same type, from participants of the same household, were tested by RT-PCR. After pooled testing, all individual samples from positive pools and all individual samples from randomly chosen negative pools were evaluated. For assessment of diagnostic performance, pool testing results were compared with results from individual testing, which served as reference, and concordance in pooled and individual test detections was evaluated. Laboratory costs for both types of samples and testing were compared. Results: A total of 2008 NS and 2002 SL samples were collected from 132 study participants. We tested 329 NS and 333 SL pools. The mean pool size for NS and SL pools was 6.22 (SD = 0.92) and 6.39 (SD = 1.71), respectively. Using individual testing as reference, NS pooling of 6 had a sensitivity and specificity of 94% and 100%, respectively, with kappa of 0.97 (CI 95%: 0.93-1.00). The corresponding values for SL pooling of 6 were 83%, 100%, and 0.90 (CI 95%: 0.83-0.97). Compared with individual testing, pooling resulted in a cost reduction of 74.8% for NS and 72.4% for SL samples. Conclusions: Pooling easy-to-collect respiratory samples, especially NS, demonstrated very high diagnostic performance for detection of SARS-CoV-2 with substantial cost savings. This approach could be considered in large population screening programs, especially in LMIC.

Association between nasopharyngeal colonization with multiple pneumococcal serotypes and total pneumococcal colonization density in young Peruvian children.

OBJECTIVES: We examined the association of nasopharyngeal (NP) pneumococcal co-colonization (>1 pneumococcal serotype) and pneumococcal density in young Peruvian children enrolled in a prospective cohort study. METHODS: NP swabs collected monthly from children aged <3 years during both asymptomatic and acute respiratory illness (ARI) periods underwent culture-enriched microarray for pneumococcal detection and serotyping and lytA polymerase chain reaction for density assessment. We examined the serotypes commonly associated with co-colonization and the distribution of densities by co-colonization, age, current ARI, and other covariates. The association of co-colonization and pneumococcal density was assessed using a multivariable mixed-effects linear regression model, accounting for repeated measures and relevant covariates. RESULTS: A total of 27 children contributed 575 monthly NP samples. Pneumococcus was detected in 302 of 575 (53%) samples, and co-colonization was detected in 61 of these 302 (20%). The total densities were higher during ARI than non-ARI periods and lowest among the youngest children, increasing with age. In the multivariable analysis, there was no significant association between pneumococcal density and co-colonization (coefficient estimate 0.22, 95% confidence interval 0.11-0.55; reference: single-serotype detections). Serotypes 23B and 19F were detected significantly more frequently as single isolates. CONCLUSION: Pneumococcal co-colonization was common and not associated with increased pneumococcal density. Differential propensity for co-colonization was observed among individual serotypes.

Antibiotic perceptions, adherence, and disposal practices among parents of pediatric patients.

Antibiotics are frequently prescribed for children in the outpatient setting. Although sometimes necessary, antibiotic use is associated with important downstream effects including the development of antimicrobial resistance among human and environmental microorganisms. Current outpatient stewardship efforts focus on guiding appropriate antibiotic prescribing practices among providers, but little is known about parents' understanding of antibiotics and appropriate disposal of leftover antibiotics. To help bridge this gap, we conducted a qualitative study to assess parental understanding of their children's antibiotics, their adherence to antibiotic instructions, and their disposal practices. We conducted a semi-structured interview with parents of 13 children diagnosed with acute respiratory illnesses and prescribed antibiotics in an urban outpatient clinic. We found that parents had limited understanding of how antibiotics work. Although they received instructions about antibiotic use during the healthcare visit, adherence to the prescription and appropriate disposal of antibiotics was suboptimal. Limited baseline understanding of antibiotics, their prior experiences with antibiotics, perceptions about their social networks' antibiotic use, and information provided to them by healthcare providers may influence these behaviors. Our findings can inform educational efforts of outpatient stewardship programs to help optimize parental understanding of how to use and dispose of their children's antibiotics.

The Coronavirus Disease 2019 Pandemic Unmasked the Challenges Faced by Early-Stage Faculty in Infectious Diseases: A Call to Action.

The coronavirus disease 2019 (COVID-19) pandemic and associated increase in family care responsibilities resulted in unsustainable personal and professional workloads for infectious diseases (ID) faculty on the front lines. This was especially true for early-stage faculty (ESF), many of whom had caregiving responsibilities. In addition, female faculty, underrepresented in medicine and science faculty and particularly ESF, experienced marked declines in research productivity, which significantly impacts career trajectories. When combined with staffing shortages due to an aging workforce and suboptimal recruitment and retention in ID, these work-life imbalances have brought the field to an inflection point. We propose actionable recommendations and call on ID leaders to act to close the gender, racial, and ethnic gaps to improve the recruitment, retention, and advancement of ESF in ID. By investing in systemic change to make the ID workforce more equitable, we can embody the shared ideals of diversity and inclusion and prepare for the next pandemic.

COVID-19 and Acute Neurologic Complications in Children.

BACKGROUND: Little is known about the epidemiology and outcomes of neurologic complications associated with coronavirus disease 2019 (COVID-19) in children. METHODS: We performed a cross-sectional study of children 2 months to <18 years of age with COVID-19 discharged from 52 children's hospitals from March 2020 to March 2022. Neurologic complications were defined as encephalopathy, encephalitis, aseptic meningitis, febrile seizure, nonfebrile seizure, brain abscess and bacterial meningitis, Reye's syndrome, and cerebral infarction. We assessed length of stay (LOS), ICU admission, 30 day readmissions, deaths, and hospital costs. We used multivariable logistic regression to identify factors associated with neurologic complications. RESULTS: Of 15 137 children hospitalized with COVID-19, 1060 (7.0%) had a concurrent diagnosis of a neurologic complication. The most frequent neurologic complications were febrile seizures (3.9%), nonfebrile seizures (2.3%), and encephalopathy (2.2%). Hospital LOS, ICU admission, ICU LOS, 30 day readmissions, deaths, and hospital costs were higher in children with neurologic complications compared with those without complications. Factors associated with lower odds of neurologic complications included: younger age (adjusted odds ratio [aOR]: 0.97; 95% confidence interval [CI]: 0.96-0.98), occurrence during delta variant predominant time period (aOR: 0.71; 95% CI: 0.57-0.87), presence of a nonneurologic complex chronic condition (aOR: 0.80; 95% CI: 0.69-0.94). The presence of a neurologic complex chronic condition was associated with higher odds of neurologic complication (aOR 4.14, 95% CI 3.48-4.92). CONCLUSIONS: Neurologic complications are common in children hospitalized with COVID-19 and are associated with worse hospital outcomes. Our findings emphasize the importance of COVID-19 immunization in children, especially in high-risk populations, such as those with neurologic comorbidity.

Clinical characteristics, outcomes, and seasonality of acute respiratory infection associated with single and codetected rhinovirus species among hospitalized children in Amman, Jordan.

Rhinovirus (RV)-specific surveillance studies in the Middle East are limited. Therefore, we aimed to study the clinical characteristics, outcomes, and seasonality of RV-associated acute respiratory infection among hospitalized young children in Jordan. We conducted a prospective viral surveillance study and enrolled children <2 years old admitted to a large public hospital in Amman, Jordan (2010-2013). Demographic and clinical data were collected by structured interviews and chart abstractions. Nasal and/or throat swabs were collected and tested for a panel of respiratory viruses, and RV genotyping and speciation was performed. At least one virus was detected in 2641/3168 children (83.4%). RV was the second most common virus detected (n = 1238; 46.9%) and was codetected with another respiratory virus in 730 cases (59.0%). Children with RV codetection were more likely than those with RV-only detection to have respiratory distress but had similar outcomes. RV-A accounted for about half of RV-positive cases (54.7%), while children with RV-C had a higher frequency of wheezing and reactive airway disease. RV was detected year-round and peaked during winter. In conclusion, though children with RV codetection had worse clinical findings, neither codetection nor species affected most clinical outcomes.

Clinical presentations of adult and pediatric SARS-CoV-2-positive cases in a community cohort, Nashville, Tennessee.

Compared to adults, the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) illness in children has been lower and less severe. However, reports comparing SARS-CoV-2 infection among children and adults are limited. As part of our longitudinal cohort study of adults and children with SARS-CoV-2 infection and their household contacts in Nashville, Tennessee, we compared the clinical characteristics and outcomes of SARS-CoV-2 infections between children and adults. Children were more likely to be asymptomatically infected and had a shorter illness duration compared to adults. The differences observed in clinical presentation across ages may inform symptom-specific testing, screening, and management algorithms.

The impact of community closures among nonessential and essential workers, Nashville, Tennessee: A cross-sectional study.

Background and Aims: The effects of community closures and relaxing social distancing restrictions on severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) by occupational risk remain unclear. Therefore, we evaluated the impact of community closures and reopening phases with the prevalence of testing SARS-CoV-2-positive among nonessential and essential workers. Methods: We constructed a cross-sectional cohort from March 20 to July 31, 2020, of 344 adults from Metropolitan Nashville, Tennessee. We performed an unconditional logistic regression model to evaluate the impact of community closures and phase implementation on testing SARS-CoV-2 positive by occupation to estimate adjusted prevalence odds ratios (aPORs) and 95% confidence intervals (CIs). Results: During a stay-at-home/Phase I order, those with non-essential occupations had 59% decreased prevalence odds (aPOR:0.41; 95% CI: 0.20-0.84) of testing SARS-CoV-2-positive compared to when no restrictions were in place. Persons with essential occupations had four times the prevalence odds of testing SARS-CoV-2-positive (aPOR:4.19; 95% CI:1.57-11.18) compared with nonessential occupations when no community restrictions were established. Conclusion: Stay-at-home restrictions were associated with a lower risk of SARS-CoV-2 infection in the community for nonessential workers. Essential employees remained at increased risk for SARS-CoV-2, including when no community restrictions were in place and vaccines were not available. This study supports targeting prevention measures for these high-risk occupations.

Concordance in RT-PCR detection of SARS-CoV-2 between samples preserved in viral and bacterial transport medium.

BACKGROUND: While the detection of SARS-CoV-2 in samples preserved in viral transport medium (VTM) by RT-PCR is a standard diagnostic method, this may preclude the study of bacterial respiratory pathogens from the same specimen. It is unclear if the use of skim milk, tryptone, glucose, and glycerin (STGG) transport media, used for study of respiratory bacteria, allows an efficient and concurrent study of SARS-CoV-2 infections. OBJECTIVES: To determine the concordance in SARS-CoV-2 detection by real time RT-PCR between paired nasopharyngeal (NP) swabs preserved in STGG and nasal (NS) swabs preserved in VTM. STUDY DESIGN: Paired samples of NP and NS swabs were collected between December 2020 and March 2021 from a prospective longitudinal cohort study of 44 households and 132 participants from a peri-urban community (Lima, Peru). NP and NS swabs were taken from all participants once and twice per week, respectively, independent of respiratory symptoms. STGG medium was used for NP samples and VTM for NS samples. Samples were analyzed for SARS-CoV-2 by RT-PCR for N, S and ORF1ab targets. We calculated the concordance in detections between sample types and compared the RT-PCR cycle thresholds (Ct). RESULTS: Among the 148 paired samples, we observed a high concordance in detections between NP and NS samples (agreement = 94.59%; Kappa = 0.79). Median Ct values were statistically similar between sample types for each RT-PCR target: N, S and ORF1ab (p = 0.11, p = 0.71 and p = 0.11, respectively). CONCLUSIONS: NP swabs collected in STGG medium are reliable alternatives to nasal swabs collected in VTM for the study of SARS-CoV-2.

Associations Between Eight Earth Observation-Derived Climate Variables and Enteropathogen Infection: An Independent Participant Data Meta-Analysis of Surveillance Studies With Broad Spectrum Nucleic Acid Diagnostics.

Diarrheal disease, still a major cause of childhood illness, is caused by numerous, diverse infectious microorganisms, which are differentially sensitive to environmental conditions. Enteropathogen-specific impacts of climate remain underexplored. Results from 15 studies that diagnosed enteropathogens in 64,788 stool samples from 20,760 children in 19 countries were combined. Infection status for 10 common enteropathogens-adenovirus, astrovirus, norovirus, rotavirus, sapovirus, Campylobacter, ETEC, Shigella, Cryptosporidium and Giardia-was matched by date with hydrometeorological variables from a global Earth observation dataset-precipitation and runoff volume, humidity, soil moisture, solar radiation, air pressure, temperature, and wind speed. Models were fitted for each pathogen, accounting for lags, nonlinearity, confounders, and threshold effects. Different variables showed complex, non-linear associations with infection risk varying in magnitude and direction depending on pathogen species. Rotavirus infection decreased markedly following increasing 7-day average temperatures-a relative risk of 0.76 (95% confidence interval: 0.69-0.85) above 28°C-while ETEC risk increased by almost half, 1.43 (1.36-1.50), in the 20-35°C range. Risk for all pathogens was highest following soil moistures in the upper range. Humidity was associated with increases in bacterial infections and decreases in most viral infections. Several virus species' risk increased following lower-than-average rainfall, while rotavirus and ETEC increased with heavier runoff. Temperature, soil moisture, and humidity are particularly influential parameters across all enteropathogens, likely impacting pathogen survival outside the host. Precipitation and runoff have divergent associations with different enteric viruses. These effects may engender shifts in the relative burden of diarrhea-causing agents as the global climate changes.

Variation in antibiotic use among neonatal intensive care units in the United States.

Antibiotics are widely used in neonatal intensive care units (NICUs). We conducted a cross-sectional analysis of antibiotic use across US NICUs to evaluate overall, broad-spectrum, and combination antibiotic use. Patterns of antibiotic use varied by medical versus surgical service line, hospital, and geographic location.

Assessing the Impact of Acute Respiratory Illnesses on the Risk of Subsequent Respiratory Illness.

BACKGROUND: Whether acute respiratory illnesses (ARIs), often associated with virus detection, are associated with lower risk for subsequent ARI remains unclear. We assessed the association between symptomatic ARI and subsequent ARI in young children. METHODS: In a prospective cohort of Peruvian children <3 years, we examined the impact of index ARI on subsequent ARI risk. Index ARI were matched with ≤3 asymptomatic observations and followed over 28 days. We compared risk of subsequent ARI between groups using conditional logistic regression adjusting for several covariates, accounting for repeat observations from individual children. RESULTS: Among 983 index ARI, 339 (34%) had an ARI event during follow-up, compared with 876/2826 (31%) matched asymptomatic observations. We found no significant association of index ARI and subsequent ARI risk during follow-up overall (adjusted odds ratio [aOR], 1.10; 95% confidence interval [CI], .98-1.23) or when limited to index ARI with respiratory viruses detected (aOR, 1.03; 95% CI, .86-1.24). Similarly, when the outcome was limited to ARI in which viruses were detected, no significant association was seen (aOR, 1.05; 95% CI, .87-1.27). CONCLUSIONS: ARIs were not associated with short-term protection against subsequent ARI in these children. Additional longitudinal studies are needed to understand drivers of recurrent ARI in young children.

SARS-CoV-2 infections in households in a peri-urban community of Lima, Peru: A prospective cohort study.

BACKGROUND: We assessed the prevalence and incidence of SARS-CoV-2 infections in a prospective study of households in Lima, Peru. METHODS: Households with a child, a young adult 18-50 years, and an adult age >50 years in peri-urban Lima were followed with twice-a-week household visits during a 2-month period. Nasal swabs and saliva specimens were collected twice weekly, and nasopharyngeal swabs were collected weekly from each participant, regardless of symptoms. Laboratory-confirmed SARS-CoV-2 infection was defined by two RT-PCR tests from any of the collected specimens within a week. Blood samples collected at enrollment and end of follow-up were tested with rapid serological tests. We calculated the prevalence and incidence of laboratory-confirmed SARS-CoV-2 infections. RESULTS: We enrolled 132 participants from 44 households: 44 children, 44 young adults, and 44 older adults. A total of 13 SARS-CoV-2 infections were detected in eight households, for an overall period prevalence of 9.85% (95% confidence interval [CI]: 5.35-16.25). Most (61.54%) infections were symptomatic. Eight of 11 (72.73%) SARS-CoV-2 detections corresponded to the Lambda variant. During 218.79 person-months at risk of follow-up, there were six new SARS-CoV-2 infections detected (2.74 per 100 person-month, 95% CI: 1.25-6.04). At enrollment, 59 of 128 participants tested had positive SARS-CoV-2 IgG serology (46.09%, 95% CI: 37.25-55.12). Five of six new infections occurred among participants with negative baseline serology. CONCLUSIONS: We demonstrated high incidence of SARS-CoV-2 infections in households, especially among subjects without evidence of prior infection, most of them not detected by the Ministry of Health system.

The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study.

BACKGROUND: The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. METHODS: Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital laboratory beginning March 12, 2020. We obtained sociodemographic and clinical data 5 (+/-3) and 30 days after diagnosis via phone follow-up and medical record review. Logistic regression was used to assess predictors of hospitalization. RESULTS: The first 1000 symptomatic pediatric patients were diagnosed in our institution between March 13, 2020 and September 28, 2020. Cough (52 %), headache (43 %), and sore throat (36 %) were the most common symptoms. Forty-one (4 %) were hospitalized; 8 required ICU admission, and 2 required mechanical ventilation (< 1 %). One patient developed multisystem inflammatory syndrome in children; one death was possibly associated with SARS-CoV-2 infection. Symptom resolution occurred by follow-up day 5 in 398/892 (45 %) patients and by day 30 in 443/471 (94 %) patients. Pre-existing medical condition (OR 7.7; 95 % CI 3.9-16.0), dyspnea (OR 6.8; 95 % CI 3.2-14.1), Black race or Hispanic ethnicity (OR 2.7; 95 % CI 1.3-5.5), and vomiting (OR 5.4; 95 % CI 1.2-20.6) were the strongest predictors of hospitalization. The model displayed excellent discriminative ability (AUC = 0.82, 95 % CI 0.76-0.88, Brier score = 0.03). CONCLUSIONS: In 1000 pediatric patients with systematic follow-up, most SARS-CoV-2 infections were mild, brief, and rarely required hospitalization. Pediatric predictors of hospitalization included comorbid conditions, Black race, Hispanic ethnicity, dyspnea and vomiting and were distinct from those reported among adults.

Prevalence, Risk Factors, and Outcomes of Influenza-Associated Neurologic Complications in Children.

OBJECTIVE: To determine the frequency of neurologic complications associated with influenza in hospitalized children. STUD DESIGN: We performed a cross-sectional study of children (2 months through 17 years of age) with influenza discharged from 49 children's hospitals in the Pediatric Health Information System during the influenza seasons of 2015-2020. Neurologic complications were defined as encephalopathy, encephalitis, aseptic meningitis, febrile seizure, nonfebrile seizure, brain abscess and bacterial meningitis, Reye syndrome, and cerebral infarction. We assessed length of stay (LOS), intensive care unit (ICU) admission, ICU LOS, 30-day hospital readmissions, deaths, and hospital costs associated with these events. Patient-level risk factors associated with neurologic complications were identified using multivariable logistic regression. RESULTS: Of 29 676 children hospitalized with influenza, 2246 (7.6%) had a concurrent diagnosis of a neurologic complication; the most frequent were febrile seizures (5.0%), encephalopathy (1.7%), and nonfebrile seizures (1.2%). Hospital LOS, ICU admission, ICU LOS, deaths, and hospital costs were greater in children with neurologic complications compared with those without complications. Risk factors associated with neurologic complications included male sex (aOR 1.1, 95% CI 1.02-1.21), Asian race/ethnicity (aOR 1.7, 95% CI 1.4-2.1) (compared with non-Hispanic White), and the presence of a chronic neurologic condition (aOR 3.7, 95% CI 3.1-4.2). CONCLUSIONS: Neurologic complications are common in children hospitalized with influenza, especially among those with chronic neurologic conditions, and are associated with worse outcomes compared with children without neurologic complications. These findings emphasize the strategic importance of influenza immunization and treatment, especially in high-risk populations.

Trends in Length of Stay and Readmissions in Children's Hospitals.

BACKGROUND AND OBJECTIVES: Patient complexity at US children's hospitals is increasing. Hospitals experience concurrent pressure to reduce length of stay (LOS) and readmissions, yet little is known about how these common measures of resource use and quality have changed over time. Our aim was to examine temporal trends in medical complexity, hospital LOS, and readmissions across a sample of US children's hospitals. METHODS: Retrospective cohort study of hospitalized patients from 42 children's hospitals in the Pediatric Health Information System from 2013 to 2017. After excluding deaths, healthy newborns, obstetric care, and low volume service lines, we analyzed trends in medical complexity, LOS, and 14-day all-cause readmissions using generalized linear mixed effects models, adjusting for changes in patient factors and case-mix. RESULTS: Between 2013 and 2017, a total of 3 355 815 discharges were included. Over time, the mean case-mix index and the proportion of hospitalized patients with complex chronic conditions or receiving intensive care increased (P < .001 for all). In adjusted analyses, mean LOS declined 3% (61.1 hours versus 59.3 hours from 2013 to 2017, P < .001), whereas 14-day readmissions were unchanged (7.0% vs 6.9%; P = .03). Reductions in adjusted LOS were noted in both medical and surgical service lines (3.6% and 2.0% decline, respectively; P < .001). CONCLUSIONS: Across US children's hospitals, adjusted LOS declined whereas readmissions remained stable, suggesting that children's hospitals are providing more efficient care for an increasingly complex patient population.