Parents' Trigger Tool for Children with Medical Complexity - PAT-CMC: Development of a recognition tool for clinical deterioration at home.

AIM: To develop a trigger tool for parents and lay caregivers of children with medical complexity (CMC) at home and to validate its content. DESIGN: This was a multi-method study, using qualitative data, a Delphi method and a concept mapping approach. METHODS: A three-round electronic Delphi was performed from December 2021 to April 2022 with a panel of 23 expert parents and 30 healthcare providers, supplemented by a preliminary qualitative exploration of children's signs of deterioration and three consensus meetings to develop the PArents' Trigger Tool for Children with Medical Complexity (PAT-CMC). Cognitive interviews with parents were performed to assess the comprehensiveness and comprehensibility of the tool. The COREQ checklist, the COSMIN guidelines and the CREDES guidelines guided the reporting respectively of the qualitative study, the development and content validity of the trigger tool and the Delphi study. RESULTS: The PAT-CMC was developed and its content validated to recognize clinical deterioration at home. The tool consists of 7 main clusters of items: Breathing, Heart, Devices, Behaviour, Neuro-Muscular, Nutrition/Hydration and Other Concerns. A total of 23 triggers of deterioration were included and related to two recommendations for escalation of care, using a traffic light coding system. CONCLUSION: Priority indicators of clinical deterioration of CMC were identified and integrated into a validated trigger tool designed for parents or other lay caregivers at home, to recognize signs of acute severe illness and initiate healthcare interventions. IMPACT: The PAT-CMC was developed to guide families in recognizing signs of deterioration in CMC and has potential for initiating an early escalation of care. This tool may also be useful to support education provided by healthcare providers to families before hospital discharge. PATIENT OR PUBLIC CONTRIBUTION: Parents of CMC were directly involved in the selection of relevant indicators of children's clinical deterioration and the development of the trigger tool. They were not involved in the design, conducting, reporting or dissemination plans of this research.

Behavioral Changes Associated With COVID-19 Vaccination: Cross-National Online Survey.

BACKGROUND: During the initial phases of the vaccination campaign worldwide, nonpharmaceutical interventions (NPIs) remained pivotal in the fight against the COVID-19 pandemic. In this context, it is important to understand how the arrival of vaccines affected the adoption of NPIs. Indeed, some individuals might have seen the start of mass vaccination campaigns as the end of the emergency and, as a result, relaxed their COVID-safe behaviors, facilitating the spread of the virus in a delicate epidemic phase such as the initial rollout. OBJECTIVE: The aim of this study was to collect information about the possible relaxation of protective behaviors following key events of the vaccination campaign in four countries and to analyze possible associations of these behavioral tendencies with the sociodemographic characteristics of participants. METHODS: We developed an online survey named "COVID-19 Prevention and Behavior Survey" that was conducted between November 26 and December 22, 2021. Participants were recruited using targeted ads on Facebook in four different countries: Brazil, Italy, South Africa, and the United Kingdom. We measured the onset of relaxation of protective measures in response to key events of the vaccination campaign, namely personal vaccination and vaccination of the most vulnerable population. Through calculation of odds ratios (ORs) and regression analysis, we assessed the strength of association between compliance with NPIs and sociodemographic characteristics of participants. RESULTS: We received 2263 questionnaires from the four countries. Participants reported the most significant changes in social activities such as going to a restaurant or the cinema and visiting relatives and friends. This is in good agreement with validated psychological models of health-related behavioral change such as the Health Belief Model, according to which activities with higher costs and perceived barriers (eg, social activities) are more prone to early relaxation. Multivariate analysis using a generalized linear model showed that the two main determinants of the drop of social NPIs were (1) having previously tested positive for COVID-19 (after the second vaccine dose: OR 2.46, 95% CI 1.73-3.49) and (2) living with people at risk (after the second vaccine dose: OR 1.57, 95% CI 1.22-2.03). CONCLUSIONS: This work shows that particular caution has to be taken during vaccination campaigns. Indeed, people might relax their safe behaviors regardless of the dynamics of the epidemic. For this reason, it is crucial to maintain high compliance with NPIs to avoid hindering the beneficial effects of the vaccine.

The burden of central line-associated bloodstream infections in children with medical complexity.

BACKGROUND: Central line-associated bloodstream infections (CLABSI) are significant cause of complications in pediatric intensive care units (PICUs). An emerging challenge are CLABSIs in children with medical complexity (CMC) admitted to PICU. CMC are patients with chronic conditions with or without neurological impairment needing for tracheostomy and/or home mechanical or non-invasive ventilation and/or gastrostomy/jejunostomy. We evaluate CLABSI incidence in a PICU with high prevalence of CMC. METHODS: This was a retrospective study in the PICU of the Bambino Gesù Children Hospital from January 2017 to December 2020. The medical records were reviewed and demographic, clinical and microbiological data were extracted. CLABSI were defined according to the Center for Disease Control and Prevention's National Healthcare Safety Networks (NHSN) surveillance. RESULTS: A total of 101 children with 125 central lines (CLs) were included; 79/101 (78%) patients were CMC and 50/101 (50%) had a thracheostomy. CLABSI incidence was 2.75/1000 CL-days (9 cases/3269 CL-days); incidence was 0 in patients without underling conditions and 3.14/1000 in CMC (p < 0.001). CLABSI were due to gram negative bacteria in five patients, Candida spp in three and Staphylococcus hominis in one. CLs were removed in eight cases while in the later one, with CLABSI due to Pseudomonas aeruginosa, a conservative strategy was adopted cause of unavailable alternative venous access and removed at discharge with negative culture. All patients recovered. CONCLUSIONS: A target 0% CLABSI was possible in critically ill children without underling condition while a high incidence was reported in CMC and sustained by a peculiar CLABSI ecology. This ecology should be considered when a CLABSI was suspected in CMC for prompt antibiotics stewardship.

Severe viral respiratory infections in the pre-COVID era: A 5-year experience in two pediatric intensive care units in Italy.

BACKGROUND: Viral respiratory infections are one of the main causes of hospitalization in children. Even if mortality rate is low, 2% to 3% of the hospitalized children need mechanical ventilation. Risk factors for admission to the pediatric intensive care unit (PICU) are well known, while few studies have described risk factors for invasive ventilator support and prolonged hospitalization. METHODS: A retrospective study including all patients aged between 2 and 18 months with a confirmed viral respiratory infection, requiring admission to PICU from September to March between 2015 and 2019, was conducted at Bambino Gesù Children's Hospital in Rome, Italy. RESULTS: One hundred ninety patients were enrolled, with a median age of 2.7 months; 32.1% had at least one comorbidity, mainly prematurity. The most frequent isolated viruses were RSV-B, rhinovirus, and RSV-A; 38.4% needed mechanical ventilation. This subgroup of patients had lower median birth weight compared with patients not requiring mechanical ventilation (2800 g vs. 3180 g, p = 0.02); moreover, comorbidities were present in 43.8% of intubated patients and in 24.8% of patients treated with non-invasive ventilation (p = 0.006). Viral coinfection did not result to be a risk factor for mechanical support, while virus-bacteria coinfection was significantly associated with mechanical ventilation (p < 0.001). Similar risk factors were identified for prolonged hospitalization. CONCLUSIONS: Early identification of patients who could have a sudden respiratory deterioration and need of mechanical ventilation is crucial to reduce complications due to orotracheal intubation and prolonged hospitalization in PICU. Further studies are needed to define high-risk group of patients and to design targeted interventions.

Common bone marrow signature in COVID-19-associated multisystem inflammatory syndrome in children: A first-wave small case series experience.

The hyper-inflammatory response, also known as multisystem inflammatory syndrome in children (MIS-C), represents a major concern in children with SARS-CoV-2 infection. We report bone marrow features of three patients with MIS-C who were diagnosed during the first wave of the SARS-CoV-2 pandemic. A bone marrow evaluation was performed at onset of the inflammatory condition in order to exclude secondary hemophagocytic lymphohistiocytosis (sHLH). The bone marrows of the patients presented common features: the erythroid and megakaryocytic lineages were prominently affected and hemophagocytosis was moderately increased, differently than observed in sHLH. Megakaryocytopoiesis was increased, representing a peculiar feature of MIS-C differing from sHLH. SARS-CoV-2 RT-PCR and viral panel were studied in bone marrow aspiration samples. MIS-C is a rare complication of SARS-CoV-2 infections in children. An immuno-dysregulation considering both innate and adaptive immunity together with vascular inflammation and endothelial dysfunction play a major role. Our observations, although limited due to the small sample size, suggest that there are unique features in the bone marrow of patients with MIS-C that are likely secondary to immuno-dysregulation, and there are notable differences in bone marrow features compared to those reported in sHLH.

Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia.

Timely, accurate, and comparative data on human mobility is of paramount importance for epidemic preparedness and response, but generally not available or easily accessible. Mobile phone metadata, typically in the form of Call Detail Records (CDRs), represents a powerful source of information on human movements at an unprecedented scale. In this work, we investigate the potential benefits of harnessing aggregated CDR-derived mobility to predict the 2015-2016 Zika virus (ZIKV) outbreak in Colombia, when compared to other traditional data sources. To simulate the spread of ZIKV at sub-national level in Colombia, we employ a stochastic metapopulation epidemic model for vector-borne diseases. Our model integrates detailed data on the key drivers of ZIKV spread, including the spatial heterogeneity of the mosquito abundance, and the exposure of the population to the virus due to environmental and socio-economic factors. Given the same modelling settings (i.e. initial conditions and epidemiological parameters), we perform in-silico simulations for each mobility network and assess their ability in reproducing the local outbreak as reported by the official surveillance data. We assess the performance of our epidemic modelling approach in capturing the ZIKV outbreak both nationally and sub-nationally. Our model estimates are strongly correlated with the surveillance data at the country level (Pearson's r = 0.92 for the CDR-informed network). Moreover, we found strong performance of the model estimates generated by the CDR-informed mobility networks in reproducing the local outbreak observed at the sub-national level. Compared to the CDR-informed networks, the performance of the other mobility networks is either comparatively similar or substantially lower, with no added value in predicting the local epidemic. This suggests that mobile phone data captures a better picture of human mobility patterns. This work contributes to the ongoing discussion on the value of aggregated mobility estimates from CDRs data that, with appropriate data protection and privacy safeguards, can be used for social impact applications and humanitarian action.

Multisystem Inflammatory Syndrome in Children and Acute Kidney Injury: Retrospective Study of Five Italian PICUs.

OBJECTIVES: Multisystem inflammatory syndrome in children (MIS-C) manifests with heart dysfunction and respiratory failure some weeks after a severe acute respiratory syndrome coronavirus disease 2 infection. The aim of our study was to explore the prevalence, severity, timing, and duration of acute kidney injury (AKI) in MIS-C patients. Furthermore, we evaluated which clinical variables and outcomes are associated with AKI. DESIGN: Multicenter retrospective study. SETTING: Five tertiary hospital PICUs in Italy. Data were collected in the first 7 days of PICU admission and renal function was followed throughout the hospital stay. PATIENTS: Patients less than 18 years old admitted to the PICU for greater than 24 hours with MIS-C. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We collected the following data, including: demographic information, inflammatory biomarkers, lactate levels, Pa o2 /F io2 , ejection fraction, N-terminal pro-B-type natriuretic peptide (NT-proBNP), renal function (serum creatinine, urinary output, fluid balance, and percentage fluid accumulation), Vasoactive-Inotropic Score (VIS), pediatric Sequential Organ Failure Assessment (pSOFA), and Pediatric Index of Mortality 3. AKI was diagnosed in eight of 38 patients (21%) and severe AKI was present in four of eight patients. In all cases, AKI was present at PICU admission and its median (interquartile range) duration was 3.5 days (1.5-5.7 d). We did not identify differences between AKI and no-AKI patients when not making correction for multiple comparisons, for example, in weight, ejection fraction, pSOFA, Pa o2 /F io2 , and lactates. We failed to identify any difference in these groups in urine output and fluid balance. Exploratory analyses of serial data between no-AKI and AKI patients showed significant differences on lymphocyte count, NT-proBNP value, ejection fraction, pSOFA, Pa o2 /F io2 , and VIS. CONCLUSIONS: In this multicenter Italian PICU experience, MIS-C is associated with AKI in one-in-five cases. In general, AKI is characterized by an associated reduction in glomerular filtration rate with a self-limiting time course.

Health Technology Assessment of Intensive Care Ventilators for Pediatric Patients.

This paper is aimed at addressing all the critical aspects linked to the implementation of intensive care ventilators in a pediatric setting, highlighting the most relevant technical features and describing the methodology to conduct health technology assessment (HTA) for supporting the decision-making process. Four ventilator models were included in the assessment process. A decision-making support tool (DoHTA method) was applied. Twenty-eight Key Performance Indicators (KPIs) were identified, defining the safety, clinical effectiveness, organizational, technical, and economic aspects. The Performance scores of each ventilator have been measured with respect to KPIs integrated with the total cost of ownership analysis, leading to a final rank of the four possible technological solutions. The final technologies' performance scores reflected a deliver valued, contextualized, and shared outputs, detecting the most performant technological solution for the specific hospital context. HTA results had informed and supported the pediatric hospital decision-making process. This study, critically identifying the pros and cons of innovative features of ventilators and the evaluation criteria and aspects to be taken into account during HTA, can be considered as a valuable proof of evidence as well as a reliable and transferable method for conducting decision-making processes in a hospital context.

Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March-April 2020.

OBJECTIVES: We investigate changes in social contact patterns following the gradual introduction of non-pharmaceutical interventions and their implications for infection transmission in the early phase of the pandemic. DESIGN, SETTING AND PARTICIPANTS: We conducted an online survey based on targeted Facebook advertising campaigns across eight countries (Belgium, France, Germany, Italy, the Netherlands, Spain, UK and USA), achieving a sample of 51 233 questionnaires in the period 13 March-12 April 2020. Poststratification weights based on census information were produced to correct for selection bias. OUTCOME MEASURES: Participants provided data on social contact numbers, adoption of protective behaviours and perceived level of threat. These data were combined to derive a weekly index of infection transmission, the net reproduction number [Formula: see text] . RESULTS: Evidence from the USA and UK showed that the number of daily contacts mainly decreased after governments issued the first physical distancing guidelines. In mid-April, daily social contact numbers had decreased between 61% in Germany and 87% in Italy with respect to pre-COVID-19 levels, mostly due to a contraction in contacts outside the home. Such reductions, which were uniform across age groups, were compatible with an [Formula: see text] equal or smaller than one in all countries, except Germany. This indicates lower levels of infection transmission, especially in a period of gradual increase in the adoption rate of the face mask outside the home. CONCLUSIONS: We provided a comparable set of statistics on social contact patterns during the COVID-19 pandemic for eight high-income countries, disaggregated by week and other demographic factors, which could be leveraged by the scientific community for developing more realistic epidemic models of COVID-19.

Virological and immunological features of SARS-COV-2 infected children with distinct symptomatology.

BACKGROUND: Although SARS-CoV-2 immunizations have started in most countries, children are not currently included in the vaccination programs; thus, it remains crucial to define their anti-SARS-CoV-2 immune response in order to minimize the risk for other epidemic waves. This study sought to provide a description of the virology ad anti-SARS-CoV-2 immunity in children with distinct symptomatology. METHODS: Between March and July 2020, we recruited 15 SARS-CoV-2 asymptomatic (AS) and 51 symptomatic (SY) children, stratified according to WHO clinical classification. We measured SARS-CoV-2 viral load using ddPCR and qPCR in longitudinally collected nasopharyngeal swab samples. To define anti-SARS-CoV-2 antibodies, we measured neutralization activity and total IgG load (DiaSorin). We also evaluated antigen-specific B and CD8+T cells, using a labeled S1+S2 protein and ICAM expression, respectively. Plasma protein profiling was performed with Olink. RESULTS: Virological profiling showed that AS patients had lower viral load at diagnosis (p = .004) and faster virus clearance (p = .0002) compared with SY patients. Anti-SARS-CoV-2 humoral and cellular response did not appear to be associated with the presence of symptoms. AS and SY patients showed similar titers of SARS-CoV-2 IgG, levels of neutralizing activity, and frequency of Ag-specific B and CD8+ T cells, whereas pro-inflammatory plasma protein profile was found to be associated with symptomatology. CONCLUSION: We demonstrated the development of anti-SARS-CoV-2 humoral and cellular response with any regard to symptomatology, suggesting the ability of both SY and AS patients to contribute toward herd immunity. The virological profiling of AS patients suggested that they have lower virus load associated with faster virus clearance.

Linking excess mortality to mobility data during the first wave of COVID-19 in England and Wales.

Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.

Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey.

BACKGROUND: In the absence of medical treatment and vaccination, individual behaviours are key to curbing the spread of COVID-19. Here we describe efforts to collect attitudinal and behavioural data and disseminate insights to increase situational awareness and inform interventions. METHODS: We developed a rapid data collection and monitoring system based on a cross-national online survey, the "COVID-19 Health Behavior Survey". Respondent recruitment occurred via targeted Facebook advertisements in Belgium, France, Germany, Italy, the Netherlands, Spain, the United Kingdom, and the United States. We investigated how the threat perceptions of COVID-19, the confidence in the preparedness of organisations to deal with the pandemic, and the adoption of preventive and social distancing behaviours are associated with respondents' demographic characteristics. RESULTS: We analysed 71,612 questionnaires collected between March 13-April 19, 2020. We found substantial spatio-temporal heterogeneity across countries at different stages of the pandemic and with different control strategies in place. Respondents rapidly adopted the use of face masks when they were not yet mandatory. We observed a clear pattern in threat perceptions, sharply increasing from a personal level to national and global levels. Although personal threat perceptions were comparatively low, all respondents significantly increased hand hygiene. We found gender-specific patterns: women showed higher threat perceptions, lower confidence in the healthcare system, and were more likely to adopt preventive behaviours. Finally, we also found that older people perceived higher threat to themselves, while all respondents were strongly concerned about their family. CONCLUSIONS: Rapid population surveys conducted via Facebook allow us to monitor behavioural changes, adoption of protective measures, and compliance with recommended practices. As the pandemic progresses and new waves of infections are a threatening reality, timely insights from behavioural and attitudinal data are crucial to guide the decision-making process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-021-00270-1.

Can visual inspection of the electrical activity of the diaphragm improve the detection of patient-ventilator asynchronies by pediatric critical care physicians?

BACKGROUND: Patient-ventilator asynchronies are challenging during pediatric mechanical ventilation. We hypothesized that monitoring the electrical activity of the diaphragm (EAdi) together with the "standard" airway opening pressure (Pao) and flow-time waveforms during pressure support ventilation would improve the ability of a cohort of critical care physicians to detect asynchronies in ventilated children. METHODS: We recorded the flow, Pao and EAdi waveforms in ten consecutive patients. The recordings were split in periods of 15 s, each reproducing a ventilator screenshot. From this pool, a team of four experts selected the most representative screenshots including at least one of the three most common asynchronies (missed efforts, auto-triggering and double triggering) and split them into two versions, respectively showing or not the EAdi waveforms. The screenshots were shown in random order in a questionnaire to sixty experienced pediatric intensivists that were asked to identify any episode of patient-ventilator asynchrony. RESULTS: Among the ten patients included in the study, only eight had EAdi tracings without artifacts and were analyzed. When the Eadi waveform was shown, the auto-triggering detection improved from 13% to 67% (P<0.0001) and the missed efforts detection improved from 43% to 95% (P<0.0001). The detection of double triggering, instead, did not improve (85% with the EAdi vs. 78% without the EAdi waveform; P=0.52). CONCLUSIONS: This single center study suggests that the EAdi waveform may improve the ability of pediatric intensivists to detect missed efforts and auto-triggering asynchronies. Further studies are required to determine the clinical implications of these findings.

Hyperinflammation in Two Severe Acute Respiratory Syndrome Coronavirus 2-Infected Adolescents Successfully Treated With the Interleukin-1 Inhibitor Anakinra and Glucocorticoids.

Background: In severe acute respiratory syndrome-related coronavirus (SARS-CoV-2) critically ill adults, hyperinflammation plays a key role in disease progression. The clinical manifestations of SARS-CoV-2 infection among children are much less severe compared with adult patients and usually associated with a good prognosis. However, hyperinflammation in SARS-CoV-2-infected pediatric patients has been described as pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 or as Kawasaki-like disease but is still little known, and optimal management has to be defined. The World Health Organization (WHO) on the 15th of May 2020 has developed a preliminary case definition for multisystem inflammatory disorder in children and adolescents with coronavirus disease 2019 (COVID-19) and stated for an urgent need to collect data on this condition. Here, we report two adolescent patients affected by COVID-19 presenting with multisystem inflammatory disorder, 3-4 weeks after the first symptoms of SARS-CoV-2 infection, treated with the interleukin-1 receptor antagonist anakinra and glucocorticoids with good clinical response. Cases: We report two patients chronically ill appearing, with high fever, severe gastrointestinal involvement, and increased biomarkers of inflammation onset 3-4 weeks after paucisymptomatic SARS-CoV-2 infection. They had no lung involvement, but abdominal ultrasound and CT scan showed thickening of the bowel wall. SARS-CoV-2 PCR was positive on ileum biopsy in both patients, whereas it was negative on other common sampled sites. They have been admitted to the pediatric intensive care unit and have been treated with a combination of anakinra 6-8 mg/kg/day i.v. and a standard dose of methylprednisolone 2 mg/kg/day in addition to lopinavir/ritonavir 400 mg q12h and low molecular weight heparin 100 UI/kg q12h with good clinical response.

Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations.

Surveys of the general population can provide crucial information for designing effective nonpharmaceutical interventions to tackle public health emergencies, such as the COVID-19 pandemic. Yet, conducting such surveys can be difficult, especially when timely data collection is required. In this viewpoint paper, we discuss our experiences with using targeted Facebook advertising campaigns to address these difficulties in relation to the COVID-19 pandemic. We describe central advantages, challenges, and practical considerations. This includes a discussion of potential sources of bias and how they can be addressed.

Towards a data-driven characterization of behavioral changes induced by the seasonal flu.

In this work, we aim to determine the main factors driving self-initiated behavioral changes during the seasonal flu. To this end, we designed and deployed a questionnaire via Influweb, a Web platform for participatory surveillance in Italy, during the 2017 - 18 and 2018 - 19 seasons. We collected 599 surveys completed by 434 users. The data provide socio-demographic information, level of concerns about the flu, past experience with illnesses, and the type of behavioral changes voluntarily implemented by each participant. We describe each response with a set of features and divide them in three target categories. These describe those that report i) no (26%), ii) only moderately (36%), iii) significant (38%) changes in behaviors. In these settings, we adopt machine learning algorithms to investigate the extent to which target variables can be predicted by looking only at the set of features. Notably, 66% of the samples in the category describing more significant changes in behaviors are correctly classified through Gradient Boosted Trees. Furthermore, we investigate the importance of each feature in the classification task and uncover complex relationships between individuals' characteristics and their attitude towards behavioral change. We find that intensity, recency of past illnesses, perceived susceptibility to and perceived severity of an infection are the most significant features in the classification task and are associated to significant changes in behaviors. Overall, the research contributes to the small set of empirical studies devoted to the data-driven characterization of behavioral changes induced by infectious diseases.

Dynamic Viral Severe Acute Respiratory Syndrome Coronavirus 2 RNA Shedding in Children: Preliminary Data and Clinical Consideration from a Italian Regional Center.

We evaluated severe acute respiratory syndrome coronavirus 2 RNA clearance in 22 children. The estimation of positivity at day 14 was 52% for nasopharyngeal swab and 31% for stool samples. These data underline the significance of nasopharyngeal and stoolsample for detecting infected children. Additional studies are needed for transmissibility.

The Role of Viral Coinfection in Bronchiolitis Treated With High-Flow Nasal Cannula at Pediatric Emergency Department During 2 Consecutive Seasons: An Observational Study.

BACKGROUND: The role of multiple respiratory viruses in bronchiolitis treated with high-flow nasal cannula (HFNC) has not been thoroughly investigated. We evaluated the contribution of coinfection on clinical course of bronchiolitis treated with HFNC and on response to this treatment. METHODS: We selected 120 children with bronchiolitis, younger than 12 months, admitted to Emergency Department between 2016 and 2018 and treated with HFNC. We compared single and multiple virus infections in relation to specific outcomes such as the clinical response to HFNC and the HFNC failure. The multiple virus infection was defined by the detection of 2 or more viruses in nasopharyngeal aspirates. The HFNC failure was defined as escalation to higher level of care, including Helmet-Continuous Positive Airway Pressure, invasive ventilation or transfer to pediatric intensive care unit within 48 hours from the time of HFNC initiation. We also performed a comparison between HFNC failure and HFNC not-failure groups according to the number of virus and the type of virus. RESULTS: The severity score post-HFNC initiation was significantly associated with coinfection [odds ratio (OR): 1.361; 95% confidence interval (CI): 1.036-1.786; P = 0.027]. The likelihood of coinfection decreased by 23.1% for each increase of saturation O2 after HFNC initiation (OR: 0.769; 95% CI: 0.609-0.972; P = 0.028). Atelectasis was more likely to occur in coinfection (OR: 2.923; 95% CI: 1.049-8.148; P = 0.04). The duration of HFNC treatment increased significantly in coinfection (OR: 1.018; 95% CI: 1.006-1.029; P = 0.002). No significant differences were described between HFNC failure and the number and the type of detected viruses. CONCLUSIONS: The detection of multiple viruses and the type of virus did not influence the HFNC failure, although the coinfection was associated with a deterioration of severity score, a longer HFNC treatment and a major presence of atelectasis. The role of coinfection on HFNC treatment might subtend a complex interplay between multiple viruses and host susceptibility.

Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms.

Seasonal influenza surveillance is usually carried out by sentinel general practitioners (GPs) who compile weekly reports based on the number of influenza-like illness (ILI) clinical cases observed among visited patients. This traditional practice for surveillance generally presents several issues, such as a delay of one week or more in releasing reports, population biases in the health-seeking behaviour, and the lack of a common definition of ILI case. On the other hand, the availability of novel data streams has recently led to the emergence of non-traditional approaches for disease surveillance that can alleviate these issues. In Europe, a participatory web-based surveillance system called Influenzanet represents a powerful tool for monitoring seasonal influenza epidemics thanks to aid of self-selected volunteers from the general population who monitor and report their health status through Internet-based surveys, thus allowing a real-time estimate of the level of influenza circulating in the population. In this work, we propose an unsupervised probabilistic framework that combines time series analysis of self-reported symptoms collected by the Influenzanet platforms and performs an algorithmic detection of groups of symptoms, called syndromes. The aim of this study is to show that participatory web-based surveillance systems are capable of detecting the temporal trends of influenza-like illness even without relying on a specific case definition. The methodology was applied to data collected by Influenzanet platforms over the course of six influenza seasons, from 2011-2012 to 2016-2017, with an average of 34,000 participants per season. Results show that our framework is capable of selecting temporal trends of syndromes that closely follow the ILI incidence rates reported by the traditional surveillance systems in the various countries (Pearson correlations ranging from 0.69 for Italy to 0.88 for the Netherlands, with the sole exception of Ireland with a correlation of 0.38). The proposed framework was able to forecast quite accurately the ILI trend of the forthcoming influenza season (2016-2017) based only on the available information of the previous years (2011-2016). Furthermore, to broaden the scope of our approach, we applied it both in a forecasting fashion to predict the ILI trend of the 2016-2017 influenza season (Pearson correlations ranging from 0.60 for Ireland and UK, and 0.85 for the Netherlands) and also to detect gastrointestinal syndrome in France (Pearson correlation of 0.66). The final result is a near-real-time flexible surveillance framework not constrained by any specific case definition and capable of capturing the heterogeneity in symptoms circulation during influenza epidemics in the various European countries.