BACKGROUND: Immunocompromised individuals are known to respond inadequately to SARS-CoV-2 vaccines, placing them at high risk of severe or fatal COVID-19. Thus, immunocompromised individuals and their caregivers may still practice varying degrees of social or physical distancing to avoid COVID-19. However, the association between physical distancing to avoid COVID-19 and quality of life has not been comprehensively evaluated in any study.
OBJECTIVE: We aim to measure physical distancing behaviors among immunocompromised individuals and the association between those behaviors and person-centric outcomes, including health-related quality of life (HRQoL) measures, health state utilities, anxiety and depression, and work and school productivity impairment.
METHODS: A patient-informed protocol was developed to conduct the EAGLE Study, a large cross-sectional, observational study, and this paper describes that protocol. EAGLE is designed to measure distancing behaviors and outcomes in immunocompromised individuals, including children (aged ≥6 mo) and their caregivers, and nonimmunocompromised adults in the United States and United Kingdom who report no receipt of passive immunization against COVID-19. We previously developed a novel self- and observer-reported instrument, the Physical Distancing Scale for COVID-19 Avoidance (PDS-C19), to measure physical distancing behavior levels cross-sectionally and retrospectively. Using an interim or a randomly selected subset of the study population, the PDS-C19 psychometric properties will be assessed, including structural validity, internal consistency, known-group validity, and convergent validity. Associations (correlations) will be assessed between the PDS-C19 and validated HRQoL-related measures and utilities. Structural equation modeling and regression will be used to assess these associations, adjusting for potential confounders. Participant recruitment and data collection took place from December 2022 to June 2023 using direct-to-patient channels, including panels, clinician referral, patient advocacy groups, and social media, with immunocompromising diagnosis confirmation collected and assessed for a randomly selected 25% of immunocompromised participants. The planned total sample size is 3718 participants and participant-caregiver pairs. Results will be reported by immunocompromised status, immunocompromising condition category, country, age group, and other subgroups.
RESULTS: All data analyses and reporting were planned to be completed by December 2023. Results are planned to be submitted for publication in peer-reviewed journals in 2024-2025.
CONCLUSIONS: This study will quantify immunocompromised individuals\' physical distancing behaviors to avoid COVID-19 and their association with HRQoL as well as health state utilities.
UNASSIGNED: RR1-10.2196/52643.

OBJECTIVE: Understanding the seasonal behaviours of respiratory viruses is crucial for preventing infections. We evaluated the seasonality of respiratory viruses using time-series analyses.
METHODS: This study analysed prospectively collected nationwide surveillance data on eight respiratory viruses, gathered from the Korean Influenza and Respiratory Surveillance System. The data were collected on a weekly basis by 52 nationwide primary healthcare institutions between 2015 and 2019. We performed Spearman correlation analyses, similarity analyses via dynamic time warping (DTW) and seasonality analyses using seasonal autoregressive integrated moving average (SARIMA).
RESULTS: The prevalence of rhinovirus (RV, 23.6%-31.4%), adenovirus (AdV, 9.2%-16.6%), human coronavirus (HCoV, 3.0%-6.6%), respiratory syncytial virus (RSV, 11.7%-20.1%), influenza virus (IFV, 11.7%-21.5%), parainfluenza virus (PIV, 9.2%-12.6%), human metapneumovirus (HMPV, 5.6%-6.9%) and human bocavirus (HBoV, 5.0%-6.4%) were derived. Most of them exhibited a high positive correlation in Spearman analyses. In DTW analyses, all virus data from 2015 to 2019, except AdV, exhibited good alignments. In SARIMA, AdV and RV did not show seasonality. Other viruses showed 12-month seasonality. We describe the viruses as winter viruses (HCoV, RSV and IFV), spring/summer viruses (PIV, HBoV), a spring virus (HMPV) and all-year viruses with peak incidences during school periods (RV and AdV).
CONCLUSIONS: This is the first study to comprehensively analyse the seasonal behaviours of the eight most common respiratory viruses using nationwide, prospectively collected, sentinel surveillance data.

UNASSIGNED: Cefpodoxime, a third-generation cephalosporin, is a broad-spectrum antibiotic widely used to treat acute upper respiratory tract infections (RTI). This systematic review aims to present a comprehensive view of all the available pharmacokinetics (PK) data associated with the pharmacodynamics (PD) parameters of cefpodoxime in humans.
UNASSIGNED: The PubMed, Google Scholar, Cochrane Library, and Science Direct, were systematically searched to identify studies on the PK of cefpodoxime. Out of 746 papers, 26 articles meeting the eligibility criteria were included that have reported the PK data. The drug exposure for the patients undergoing hemodialysis was 50% lower than healthy participants. The renal clearance was almost 27% less in pediatric patients than in adults. The plasma concentrations of cefpodoxime exceeded the minimum inhibitory concentration (MIC) for 90% of skin pathogens, including Streptococcus species and Staphylococcus species (i.e.) < 1 μg/mL and 2-4 μg/mL respectively.
UNASSIGNED: The current study includes detailed information on clinical PK of cefpodoxime in healthy, diseased, pediatric populations as well as drug-drug interactions and drug-food interactions. Moreover, this systematic review also explicated PK/PD properties of drug with a specific impact on MIC of drug. The present review will also assist clinicians in the development of PK models for cefpodoxime.

BACKGROUND: The burden and characteristics of respiratory viral infections in children hospitalized for acute respiratory tract infections (ARTIs) during the post-COVID-19 pandemic era are unclear. We analyzed the epidemiological and clinical characteristics of pediatric patients hospitalized with common respiratory virus infections before and after relaxation of non-pharmaceutical interventions in Hangzhou, China and evaluated the diagnostic value of the six-panel respiratory pathogen detection system.
METHODS: Six types of respiratory viruses were detected in respiratory samples from children with suspected ARTIs by multiplex real-time quantitative polymerase chain reaction (RT-qPCR). Changes in virus detection rates and epidemiological and clinical characteristics, obtained from electronic health records, were analyzed. Binary logistic regression was used to identify respiratory tract infections risk factors. Multiplex RT-qPCR and targeted next-generation sequencing results were compared in random samples.
RESULTS: Among the 11,056 pediatric samples, 3228 tested positive for one or more of six common respiratory pathogens. RSV and PIV-3 detection rates differed significantly across age groups (both P < 0.001), and were more common in younger children. PIV-1 was more common in infants, toddlers, and preschoolers than in school-age children (P < 0.001). FluB was predominantly detected in school-age children (P < 0.001). RSV-, ADV-, and PIV-1-positivity rates were higher in 2022 than in 2023. Seasonal viral patterns differed across years. RSV (OR 9.156. 95% CI 5.905-14.195) and PIV-3 (OR 1.683, 95% CI 1.133-2.501) were risk factors for lower respiratory tract infections. RSV-positivity was associated with severe pneumonia (P = 0.044). PIV-3 (OR 0.391, 95% CI 0.170-0.899), summer season (OR 1.982, 95% CI 1.117-3.519), and younger age (OR 0.938, 95% CI 0.893-0.986) influenced pneumonia severity. Multiplex RT-qPCR showed good diagnostic performance.
CONCLUSIONS: After changes in COVID-19 prevention and control strategies, six common respiratory viruses in children were prevalent in 2022-2023, with different seasonal epidemic characteristics and age proclivities. RSV and PIV-3 cause lower, and FluA, FluB, and ADV more typically cause upper respiratory tract infections. Infancy and summer season influence severe pneumonia risk. Multiplex RT-qPCR is valuable for accurate and timely detection of respiratory viruses in children, which facilitates management, treatment, and prevention of ARTIs.

BACKGROUND: Prompt differentiation of viral from bacterial infections in febrile children is pivotal in reducing antibiotic overuse. Myxovirus resistance protein A (MxA) is a promising viral biomarker.
METHODS: We evaluated the accuracy of a point-of-care (POC) measurement for blood MxA level compared to the reference enzyme immunoassay in 228 febrile children aged between 4 weeks and 16 years, enrolled primarily at the emergency department (ED). Furthermore, we analyzed the ability of MxA to differentiate viral from bacterial infections.
RESULTS: The mean difference between POC and reference MxA level was -76 µg/L (95% limits of agreement from -409 to 257 µg/L). Using a cutoff of 200 µg/L, POC results were uniform with the reference assay in 199 (87.3%) children. In ED-collected samples, the median POC MxA levels (interquartile range) were 571 [240-955] µg/L in children with viral infections, 555 (103-889) µg/L in children with viral-bacterial co-infections, and 25 (25-54) µg/L in children with bacterial infections (P < 0.001). MxA cutoff of 101 µg/L differentiated between viral and bacterial infections with 92% sensitivity and 91% specificity.
CONCLUSIONS: POC MxA measurement demonstrated acceptable analytical accuracy compared to the reference method, and good diagnostic accuracy as a biomarker for viral infections.

BACKGROUND: Inappropriate or overuse of antibiotic prescribing in primary care highlights an opportunity for antimicrobial stewardship (AMS) programs aimed at reducing unnecessary use of antimicrobials through education, policies and practice audits that optimize antibiotic prescribing. Evidence from the early part of the pandemic indicates a high rate of prescribing of antibiotics for patients with COVID-19. It is crucial to surveil antibiotic prescribing by primary care providers from the start of the pandemic and into its endemic stage to understand the effects of the pandemic and better target effective AMS programs.
METHODS: This was a matched pair population-based cohort study that used electronic medical record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Participants included all patients that visited their primary care provider and met the inclusion criteria for COVID-19, respiratory tract infection (RTI), or non-respiratory or influenza-like-illness (negative). Four outcomes were evaluated (a) receipt of an antibiotic prescription; (b) receipt of a non-antibiotic prescription; (c) a subsequent primary care visit (for any reason); and (d) a subsequent primary care visit with a bacterial infection diagnosis. Conditional logistic regression was used to evaluate the association between COVID-19 and each of the four outcomes. Each model was adjusted for location (rural or urban), material and social deprivation, smoking status, alcohol use, obesity, pregnancy, HIV, cancer and number of chronic conditions.
RESULTS: The odds of a COVID-19 patient receiving an antibiotic within 30 days of their visit is much lower than for patients visiting for RTI or for a non-respiratory or influenza-like-illnesses (AOR = 0.08, 95% CI[0.07, 0.09] compared to RTI, and AOR = 0.43, 95% CI[0.38, 0.48] compared to negatives). It was found that a patient visit for COVID-19 was much less likely to have a subsequent visit for a bacterial infection at all time points.
CONCLUSIONS: Encouragingly, COVID-19 patients were much less likely to receive an antibiotic prescription than patients with an RTI. However, this highlights an opportunity to leverage the education and attitude change brought about by the public health messaging during the COVID-19 pandemic (that antibiotics cannot treat a viral infection), to reduce the prescribing of antibiotics for other viral RTIs and improve antibiotic stewardship.

UNASSIGNED: Despite considerable research into COVID-19 sequelae, little is known about differences in illness duration and complications in patients presenting in primary care with symptoms of acute respiratory tract infections (RTI) that are and are not attributed to SARS-CoV-2 infection.
UNASSIGNED: To explore whether aetiology impacted course of illness and prediction of complications in patients presenting in primary care with symptoms of RTI early in the COVID-19 pandemic.
UNASSIGNED: Between April 2020-March 2021 general practitioners from nine European countries recruited consecutively contacting patients with RTI symptoms. At baseline, an oropharyngeal-nasal swab was obtained for aetiology determination using PCR after follow-up of 28 days. Time to self-reported recovery was analysed with Kaplan-Meier curves. Predictors (baseline variables of demographics, patient and disease characteristics) of a complicated course (composite of hospital admission and persisting signs/symptoms at 28 days follow-up) were explored with logistic regression modelling.
UNASSIGNED: Of 855 patients with RTI symptoms, 237 (27.7%) tested SARS-CoV-2 positive. The proportion not feeling fully recovered (15.6% vs 18.1%, p = 0.39), reporting being extremely tired (9.7% vs 12.8%, p = 0.21), and not having returned to usual daily activities (18.1% vs 14.4%, p = 0.18) at day 28 were comparable between SARS-CoV-2 positive (n = 237) and negative (n = 618) groups. However, among those feeling fully recovered (SARS-CoV-2 positive: 200 patients, SARS-CoV-2 negative: 506 patients), time to full recovery was significantly longer in SARS-CoV-2 patients (10.6 vs 7.7 days, p < 0.001). We found no evidence that predictors of a complicated course differed between groups (p = 0.07).
UNASSIGNED: Early in the pandemic, the proportion of patients not feeling fully recovered by 28 days was similar between SARS-CoV-2 positive and negative patients presenting in primary care with RTI symptoms, but it took somewhat longer for SARS-CoV-2 patients to feel fully recovered. More research is needed on predictors of a complicated course in RTI.
Our primary care-based observational study found that recovery by 28 days was comparable between SARS-CoV-2 positive and negative RTI patients.Future research is needed to unravel which host- and pathogen-related profiles are associated with higher risk of complications and persisting symptoms among patients presenting in primary care with RTI symptoms.

OBJECTIVE: Here, we will review different bacterial causes of respiratory tract infections and discuss the available diagnostic methods. Moreover, we will provide some recently published patents and newer techniques, such as respiratory panels and omics approaches, and express the challenges in this path.
BACKGROUND: Respiratory tract infections (RTIs) include those infections that can lead to the involvement of different respiratory parts, including the sinuses, throat, airways, and lungs. Acute respiratory tract infection is the leading cause of death from infectious illnesses worldwide. According to the World Health Organization, 1.6 to 2.2 million deaths have occurred due to acute respiratory infections in children under five years of age. About 4 million people die annually from respiratory infections, 98% of which are caused by lower respiratory infections.
RESULTS: Depending on the type of pathogen, the severity of the infection can vary from mild to severe and even cause death. The most important pathogens involved in respiratory tract infections include Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella catarrhalis. The symptoms are often similar, but the treatment can vary greatly. Therefore, correct diagnosis is so important. There are several methods for diagnosing respiratory infections. Traditional tests include the culture of respiratory samples, considered the primary tool for diagnosing respiratory infections in laboratories, and less common standard tests include rapid and antigenic tests. It is essential to think that the culture method is reliable. In the original method of diagnosing respiratory infections, some bacteria were challenging to grow successfully, and many clinical laboratories needed to be equipped for viral cultures. Another issue is the time to get the results, which may take up to 7 days. Rapid and antigenic tests are faster but need to be more accurate.
CONCLUSIONS: The clinical laboratories are trying to be equipped with molecular methods for detecting respiratory pathogens and identifying the genetic material of the infectious agent in these new methods as the primary method in their agenda.

Background The identification of SARS-CoV-2 in December 2019 and its subsequent designation as the causative agent of COVID-19 marked the beginning of an unprecedented global health crisis. As the virus spread rapidly across continents, its impact on various demographic groups, including children, became a subject of intense research. While children were initially thought to be less susceptible to severe COVID-19 illness compared to adults, concerns emerged regarding their vulnerability to other respiratory infections amidst the pandemic. Understanding the epidemiological trends of pediatric respiratory tract infections (RTIs) during the COVID-19 era is crucial for informing public health strategies and clinical management protocols. This study aimed to compare the prevalence and characteristics of pediatric RTIs before and during the COVID-19 pandemic in Lebanon. Methodology A retrospective, observational study was conducted by reviewing medical records of children admitted to three tertiary care hospitals in Lebanon: Sheikh Ragheb Harb University Hospital, Al Sahel General University Hospital, and Rafik Al-Hariri University Hospital. Data were collected from October 2018 to March 2021, encompassing both the pre-COVID-19 and COVID-19 eras. A standardized data collection sheet was utilized to gather information on demographic characteristics, clinical presentations, duration of hospitalization, and antibiotic usage. Results Our analysis revealed significant shifts in the epidemiology of pediatric RTIs between the pre-COVID-19 and COVID-19 eras. There was a marked decline in the proportion of school-age children hospitalized with RTIs during the pandemic period. However, the overall percentage of Lebanese hospitalized children across different age groups increased significantly during the COVID-19 era. Furthermore, the prevalence of specific RTIs, such as pharyngitis, increased from 1.1% in the pre-COVID-19 to 5.5% during the COVID-19 period (p = 0.016), and the prevalence of bronchiolitis increased from 26.7% to 50.9% (p < 0.001) during the pre-COVID-19 and COVID-19 periods, respectively. This notable rise during the pandemic suggested potential changes in circulating pathogens or diagnostic practices. Importantly, the median length of hospital stays for pediatric RTIs decreased during the COVID-19 era compared to the pre-pandemic period, indicating possible improvements in clinical management or healthcare resource utilization. Analysis of antibiotic usage revealed ceftriaxone as the most frequently prescribed antibiotic in both periods, highlighting its continued relevance in the management of pediatric RTIs. Conclusions This study highlights significant epidemiological shifts in pediatric RTIs during the COVID-19 era in Lebanon. These findings underscore the importance of ongoing surveillance and research to adapt public health interventions and clinical practices to evolving infectious disease dynamics. Further investigation is warranted to elucidate the underlying factors driving these changes and optimize strategies for the prevention and management of pediatric RTIs in the context of the ongoing pandemic.

OBJECTIVE: The objective of this review is to examine the relationship between oral diseases and respiratory health, investigating how oral microbiome disruptions contribute to respiratory tract infections. Additionally, it aims to explore the impact of respiratory disease symptoms and treatments on the oral microbiome.
METHODS: The literature utilized in this review was sourced from studies focusing on the correlation between oral health and respiratory infections, spanning a period of 40 years. Various databases and scholarly sources were likely consulted to gather relevant research articles, reviews, and clinical studies.
METHODS: This review summarizes four decades-long research, providing insights into the intricate relationship between oral and respiratory health. It delves into how oral diseases influence respiratory tract conditions and vice versa. The selection process likely involved identifying studies that addressed the interaction between oral microbiome disruptions and respiratory complications.
CONCLUSIONS: Oral diseases or poor oral habits have been known to increase the risk of getting respiratory infections. Modern techniques have demonstrated the relationship between oral disease and respiratory tract infections like influenza, chronic obstructive pulmonary diseases, asthma, and Pneumonia. Apart from that, the medications used to treat respiratory diseases affect oral physiological factors like the pH of saliva, and saliva flow rate, which can cause significant changes in the oral microbiome. This review provides regular oral hygiene and care that can prevent respiratory health and respiratory infections.
CONCLUSIONS: Understanding the intricate relationship between oral health and respiratory infections is crucial for healthcare providers. Implementing preventive measures and promoting good oral hygiene habits can reduce respiratory tract infections and improve overall respiratory health outcomes.