Prevalence of respiratory pathogens and risk of developing pneumonia under non-pharmaceutical interventions in Suzhou, China.

This study aims to evaluate the impact of non-pharmaceutical interventions (NPIs) on the prevalence of respiratory pathogens among hospitalised children with acute respiratory infections (ARIs) in Suzhou. Children with ARIs admitted to the Children's Hospital of Soochow University between 1 September 2021 and 31 December 2022 and subjected to 13 respiratory pathogen multiplex PCR assays were included in the study. We retrospectively collected demographic details, results of respiratory pathogen panel tests, and discharge diagnostic information of the participants, and described the age and seasonal distribution of respiratory pathogens and risk factors for developing pneumonia. A total of 10,396 children <16 years of age, including 5,905 males and 4,491 females, were part of the study. The positive rates of the 11 respiratory pathogen assays were 23.3% (human rhinovirus (HRV)), 15.9% (human respiratory syncytial virus (HRSV)), 10.5% (human metapneumovirus (HMPV)), 10.3% (human parainfluenza virus (HPIV)), 8.6% (mycoplasma pneumoniae (MP)), 5.8% (Boca), 3.5% (influenza A (InfA)), 2.9% (influenza B (InfB)), 2.7% (human coronavirus (HCOV)), 2.0% (adenovirus (ADV)), and 0.5% (Ch), respectively. Bocavirus and HPIV detection peaked during the period from September to November (autumn), and MP and HMPV peaked in the months of November and December. The peak of InfA detection was found to be in summer (July and August), whereas the InfB peak was observed to be in winter (December, January, and February). HRSV and HRV predominated in the <3 years age group. HRV and HMPV were common in the 3-6 years group, whereas MP was predominant in the ≥6 years group. MP (odds ratio (OR): 70.068, 95%CI: 32.665-150.298, P < 0.01), HMPV (OR: 6.493, 95%CI: 4.802-8.780, P < 0.01), Boca (OR: 3.300, 95%CI: 2.186-4.980, P < 0.01), and HRSV (OR: 2.649, 95%CI: 2.089-3.358, P < 0.01) infections were more likely to develop into pneumonia than the other pathogens. With the use of NPIs, HRV was the most common pathogen in children with ARIs, and MP was more likely to progress to pneumonia than other pathogens.

Establishing severe acute respiratory infection (SARI) surveillance in a sentinel hospital, Ireland, 2021 to 2022.

BackgroundIn 2020, due to the COVID-19 pandemic, the European Centre for Disease Prevention and Control (ECDC) accelerated development of European-level severe acute respiratory infection (SARI) surveillance.AimWe aimed to establish SARI surveillance in one Irish hospital as part of a European network E-SARI-NET.MethodsWe used routine emergency department records to identify cases in one adult acute hospital. The SARI case definition was adapted from the ECDC clinical criteria for a possible COVID-19 case. Clinical data were collected using an online questionnaire. Cases were tested for SARS-CoV-2, influenza and respiratory syncytial virus (RSV), including whole genome sequencing (WGS) on SARS-CoV-2 RNA-positive samples and viral characterisation/sequencing on influenza RNA-positive samples. Descriptive analysis was conducted for SARI cases hospitalised between July 2021 and April 2022.ResultsOverall, we identified 437 SARI cases, the incidence ranged from two to 28 cases per week (0.7-9.2/100,000 hospital catchment population). Of 431 cases tested for SARS-CoV-2 RNA, 226 (52%) were positive. Of 349 (80%) cases tested for influenza and RSV RNA, 15 (4.3%) were positive for influenza and eight (2.3%) for RSV. Using WGS, we identified Delta- and Omicron-dominant periods. The resource-intensive nature of manual clinical data collection, specimen management and laboratory supply shortages for influenza and RSV testing were challenging.ConclusionWe successfully established SARI surveillance as part of E-SARI-NET. Expansion to additional sentinel sites is planned following formal evaluation of the existing system. SARI surveillance requires multidisciplinary collaboration, automated data collection where possible, and dedicated personnel resources, including for specimen management.

Identification of priority pathogens for aetiological diagnosis in adults with community-acquired pneumonia in China: a multicentre prospective study.

BACKGROUND: Community-acquired pneumonia (CAP) is a major public health challenge worldwide. However, the aetiological and disease severity-related pathogens associated with CAP in adults in China are not well established based on the detection of both viral and bacterial agents. METHODS: A multicentre, prospective study was conducted involving 10 hospitals located in nine geographical regions in China from 2014 to 2019. Sputum or bronchoalveolar lavage fluid (BALF) samples were collected from each recruited CAP patient. Multiplex real-time PCR and bacteria culture methods were used to detect respiratory pathogens. The association between detected pathogens and CAP severity was evaluated. RESULTS: Among the 3,403 recruited eligible patients, 462 (13.58%) had severe CAP, and the in-hospital mortality rate was 1.94% (66/3,403). At least one pathogen was detected in 2,054 (60.36%) patients, with two or more pathogens were co-detected in 725 patients. The ten major pathogens detected were Mycoplasma pneumoniae (11.05%), Haemophilus influenzae (10.67%), Klebsiella pneumoniae (10.43%), influenza A virus (9.49%), human rhinovirus (9.02%), Streptococcus pneumoniae (7.43%), Staphylococcus aureus (4.50%), adenovirus (2.94%), respiratory syncytial viruses (2.35%), and Legionella pneumophila (1.03%), which accounted for 76.06-92.52% of all positive detection results across sampling sites. Klebsiella pneumoniae (p < 0.001) and influenza viruses (p = 0.005) were more frequently detected in older patients, whereas Mycoplasma pneumoniae was more frequently detected in younger patients (p < 0.001). Infections with Klebsiella pneumoniae, Staphylococcus aureus, influenza viruses and respiratory syncytial viruses were risk factors for severe CAP. CONCLUSIONS: The major respiratory pathogens causing CAP in adults in China were different from those in USA and European countries, which were consistent across different geographical regions over study years. Given the detection rate of pathogens and their association with severe CAP, we propose to include the ten major pathogens as priorities for clinical pathogen screening in China.

Pediatric respiratory admissions and related viral infections during the COVID-19 pandemic.

INTRODUCTION: The COVID-19 pandemic has affected the incidence of respiratory viral infections. Our aim was to assess changes in pediatric admissions due to respiratory diseases and associated respiratory viral infections. METHODS: An observational study including all respiratory admissions to the pediatric departments from January 2015 to August 2021. We compared respiratory admission percentage, respiratory viral panel results and clinical characteristics of these admissions between two study periods, January 2015 to February 2020 (pre-COVID-19 era) and March 2020 to August 2021 (COVID-19 era). RESULTS: A total of 8774 respiratory admissions were included, 7157 pre-COVID-19 era and 1617 COVID-19 era. Relative to all pediatric admissions, there was a 17% decrease in respiratory admission percentage during the COVID-19 era (p < 0.001) and a 31% and 22% decreased in the admission percentages due to bronchiolitis (p < 0.001) and pneumonia (p < 0.001), respectively. However, admission percentages for asthma, wheezing illness, complicated pneumonia, and stridor remained the same. There was a significant decrease in the detection of a respiratory viral pathogen associated with these respiratory admissions (p < 0.001). This was related to a significant decrease in the detection of respiratory syncytial virus (RSV) (37% vs. 27%, p < 0.001) and influenza (5% vs. 0.3%, p < 0.001), but not other respiratory viruses. An alteration in the circulation pattern of most respiratory viruses, was observed. CONCLUSIONS: During the COVID-19 pandemic, a decrease in the prevalence of RSV and influenza was associated with a significant decrease in admissions for bronchiolitis and pediatric pneumonia. This may allow us to estimate the significance of preventive measures for RSV and influenza on pediatric respiratory admissions.

Lessons (Not) Learned: Chicago Death Inequities during the 1918 Influenza and COVID-19 Pandemics.

During historical and contemporary crises in the U.S., Blacks and other marginalized groups experience an increased risk for adverse health, social, and economic outcomes. These outcomes are driven by structural factors, such as poverty, racial residential segregation, and racial discrimination. These factors affect communities' exposure to risk and ability to recover from disasters, such as pandemics. This study examines whether areas where descendants of enslaved Africans and other Blacks lived in Chicago were vulnerable to excess death during the 1918 influenza pandemic and whether these disparities persisted in the same areas during the COVID-19 pandemic. To examine disparities, demographic data and influenza and pneumonia deaths were digitized from historic weekly paper maps from the week ending on 5 October 1918 to the week ending on 16 November 1918. Census tracts were labeled predominantly Black or white if the population threshold for the group in a census tract was 40% or higher for only one group. Historic neighborhood boundaries were used to aggregate census tract data. The 1918 spatial distribution of influenza and pneumonia mortality rates and cases in Chicago was then compared to the spatial distribution of COVID-19 mortality rates and cases using publicly available datasets. The results show that during the 1918 pandemic, mortality rates in white, immigrant and Black neighborhoods near industrial areas were highest. Pneumonia mortality rates in both Black and immigrant white neighborhoods near industrial areas were approximately double the rates of neighborhoods with predominantly US-born whites. Pneumonia mortality in Black and immigrant white neighborhoods, far away from industrial areas, was also higher (40% more) than in US-born white neighborhoods. Around 100 years later, COVID-19 mortality was high in areas with high concentrations of Blacks based on zip code analysis, even though the proportion of the Black population with COVID was similar or lower than other racial and immigrant groups. These findings highlight the continued cost of racial disparities in American society in the form of avoidable high rates of Black death during pandemics.

The Clinical Utility of Relative Bradycardia for Identifying Cases of Coronavirus Disease 2019 Pneumonia: A Retrospective Pneumonia Cohort Study.

Objective Both coronavirus disease 2019 (COVID-19) pneumonia and relative bradycardia are common conditions among clinicians; however, the association between these has not been well studied. The present study assessed whether or not relative bradycardia on admission was more predominant in patients with COVID-19 pneumonia than in those with other infectious pneumonia. Methods For this single-center, retrospective cohort study, we collected data through electronic medical records and examined the occurrence of relative bradycardia on admission. We used logistic regression analyses to compare outcomes with and without relative bradycardia on admission. The primary outcome was COVID-19 pneumonia. The secondary outcome was hypoxemia during the hospital stay. We performed multivariable regression with adjusting for the effects of age, sex, healthcare-associated pneumonia, body mass index, Charlson comorbidity index, and bilateral infiltration on computed tomography (CT) as confounding factors. Patients Adult patients with new-onset hospitalized infectious pneumonia confirmed by CT between January 1, 2020, and July 31, 2021. Results This study included 395 participants. On admission, 87 (22.0%) participants exhibited relative bradycardia, and 302 (76.5%) participants had COVID-19. Relative bradycardia on admission was not significantly associated with COVID-19 pneumonia [adjusted odds ratio (OR) 1.32; 95% confidence interval (CI) 0.49-3.54, p=0.588] but was associated with hypoxemia (adjusted OR 4.74; 95%CI 2.64-8.52, p<0.001). Conclusion The study results showed that relative bradycardia on admission was not associated with COVID-19 in cases of infectious pneumonia. However, relative bradycardia may be associated with the incidence of hypoxemia in pneumonia.

An assessment of the current epidemiological and laboratory capacities for influenza-like illnesses and severe acute respiratory infection surveillance, Yemen 2022.

Background and Objectives: We aim to re-activate influenza sentinel surveillance system in Yemen after disruption related to repurposing for COVID-19 pandemic. WHO Country Office (CO) in collaboration with Yemen's Ministry of Public Health and Population (MOPH&P) jointly conducted an assessment mission to assess the current situation of the influenza sentinel surveillance system and assess its capacity to detect influenza epidemics and monitor trends in circulating influenza and other respiratory viruses of epidemic and pandemic potential. This study presents the results of the assessment for three sentinel sites located in Aden, Taiz, and Hadramout/Mukalla. Methodology: A mixed methods approach was used to guide the assessment process and to help achieve the objectives. Data were collected as follows: desk review of the sentinel sites records and data; interviews with stakeholders, including key informants and partners; and direct observation through field visits to the sentinel sites, MOPH&P and the Central Public Health Laboratory (CPHL). Two assessment checklists were used: assessment of sentinel sites for SARI surveillance, and checklist for assessment of availability of SARI sentinel surveillance. Results and Conclusion: COVID-19 has affected health systems and services, and this was demonstrated in this assessment. The influenza sentinel surveillance system in Yemen is not effectively functional; however, there is plenty of room for improvement if investment in the system's restructuring, training, building technical and laboratory capacities, and conducting continuous and regular supervision visits.

Trends in sepsis and pneumonia during COVID-19: lessons from BPCIA.

OBJECTIVES: The COVID-19 pandemic affected care delivery nationwide for all patients, influencing cost and utilization for patients both with and without COVID-19. Our first analysis assessed changes in utilization for patients with sepsis without COVID-19 prior to vs during the pandemic. Our second analysis assessed cost and utilization changes during the pandemic for patients with sepsis or pneumonia both with and without COVID-19. STUDY DESIGN: A retrospective case-control study was utilized to determine differences in cost and utilization for patients with sepsis or pneumonia, relative to a COVID-19 diagnosis. METHODS: Claims data from 8 teaching hospitals participating in sepsis and pneumonia episodes in the Bundled Payments for Care Improvement Advanced (BPCIA) model were utilized. BPCIA is a Medicare value-based care bundled payment program that aims to decrease costs and increase quality of care through a 90-day total cost of care model. RESULTS: The first analysis (N = 1092) found that non-COVID-19 patients with sepsis had 26% higher hospice utilization (P < .05) and 38% higher mortality (P < .0001) during the pandemic vs the prepandemic period. The second analysis (N = 640) found that during the pandemic, patients with sepsis or pneumonia with COVID-19 had 70% more skilled nursing facility (SNF) use (P < .0001), 132% higher SNF costs (P < .0001), and 21% higher total episode costs (P < .0001) compared with patients without COVID-19. CONCLUSIONS: COVID-19 has affected care patterns for all patients. Patients without COVID-19 postponed care and used lower-acuity care settings, whereas patients with COVID-19 were more costly and utilized postacute care at a higher rate. These analyses inform future care coordination initiatives, given the ongoing pandemic.

Healthcare-seeking behavior for respiratory illnesses in Kenya: implications for burden of disease estimation.

BACKGROUND: Understanding healthcare-seeking patterns for respiratory illness can help improve estimation of disease burden and target public health interventions to control acute respiratory disease in Kenya. METHODS: We conducted a cross-sectional survey to determine healthcare utilization patterns for acute respiratory illness (ARI) and severe pneumonia in four diverse counties representing urban, peri-urban, rural mixed farmers, and rural pastoralist communities in Kenya using a two-stage (sub-locations then households) cluster sampling procedure. Healthcare seeking behavior for ARI episodes in the last 14 days, and severe pneumonia in the last 12 months was evaluated. Severe pneumonia was defined as reported cough and difficulty breathing for > 2 days and report of hospitalization or recommendation for hospitalization, or a danger sign (unable to breastfeed/drink, vomiting everything, convulsions, unconscious) for children < 5 years, or report of inability to perform routine chores. RESULTS: From August through September 2018, we interviewed 28,072 individuals from 5,407 households. Of those surveyed, 9.2% (95% Confidence Interval [CI] 7.9-10.7) reported an episode of ARI, and 4.2% (95% CI 3.8-4.6) reported an episode of severe pneumonia. Of the reported ARI cases, 40.0% (95% CI 36.8-43.3) sought care at a health facility. Of the74.2% (95% CI 70.2-77.9) who reported severe pneumonia and visited a medical health facility, 28.9% (95% CI 25.6-32.6) were hospitalized and 7.0% (95% CI 5.4-9.1) were referred by a clinician to the hospital but not hospitalized. 21% (95% CI 18.2-23.6) of self-reported severe pneumonias were hospitalized. Children aged < 5 years and persons in households with a higher socio-economic status were more likely to seek care for respiratory illness at a health facility. CONCLUSION: Our findings suggest that hospital-based surveillance captures less than one quarter of severe pneumonia in the community. Multipliers from community household surveys can account for underutilization of healthcare resources and under-ascertainment of severe pneumonia at hospitals.

Estimating the burden of influenza-attributable severe acute respiratory infections on the hospital system in Metropolitan France, 2012-2018.

BACKGROUND: To date, estimating the burden of seasonal influenza on the hospital system in France has been restricted to influenza diagnoses in patients (estimated hospitalization rate of 35/100,000 on average from 2012 to 2018). However, many hospitalizations for diagnosed respiratory infections (e.g. pneumonia, acute bronchitis) occur without concurrent screening for virological influenza, especially in the elderly. Specifically, we aimed to estimate the burden of influenza on the French hospital system by examining the proportion of severe acute respiratory infections (SARI) attributable to influenza. METHODS: Using French national hospital discharge data from 1/7/2012 to 30/6/2018, we extracted SARI hospitalizations with ICD-10 codes J09-J11 (influenza codes) in main or associated diagnoses, and J12-J20 (pneumonia and bronchitis codes) in main diagnoses. We estimated influenza-attributable SARI hospitalizations during influenza epidemics, as the number of influenza-coded hospitalizations plus the influenza-attributable number of pneumonia- and acute bronchitis-coded hospitalizations using periodic regression and generalized linear models. Additional analyses stratified by age group, diagnostic category (pneumonia and bronchitis), and region of hospitalization were performed using the periodic regression model only. RESULTS: The average estimated hospitalization rate of influenza-attributable SARI during the five annual influenza epidemics covered (2013-2014 to 2017-2018) was 60/100,000 with the periodic regression model, and 64/100,000 with the generalized linear model. Over the six epidemics (2012-2013 to 2017-2018), of the 533,456 SARI hospitalizations identified, an estimated 227,154 were influenza-attributable (43%). Fifty-six percent of cases were diagnosed with influenza, 33% pneumonia, and 11% bronchitis. Diagnoses varied between age groups: 11% of patients under 15 years old had pneumonia versus 41% of patients aged 65 and older. CONCLUSION: Compared to influenza surveillance in France to date, analyzing excess SARI hospitalizations provided a much larger estimate of the burden of influenza on the hospital system. This approach was more representative and allowed the burden to be assessed according to age group and region. The emergence of SARS-Cov-2 has led to a change in the dynamics of winter respiratory epidemics. The co-circulation of the three current major respiratory viruses (influenza, SARS-Cov-2, and RSV) and the evolution of diagnostic confirmation practices must now be taken into account when analyzing SARI.

A Hypothesis-Generating Prospective Longitudinal Study to Assess the Relative Contribution of Common Respiratory Viruses to Severe Lower Respiratory Infections in Young Children.

BACKGROUND: Respiratory viruses such as respiratory syncytial virus (RSV), influenza, parainfluenza and human metapneumovirus are well-established etiologies of acute lower respiratory tract infections (ALRIs; LRI-viruses). In contrast, adenovirus (AdV), rhinovirus/enterovirus (RV/EV) and seasonal human coronaviruses (CoV), collectively termed AdV/RV/CoV, are detected both in healthy children and children with ALRI. METHODS: The methods include a prospective longitudinal case-control study, assessing the prevalence of LRI-viruses versus AdV/RV/CoV in ALRI [community-acquired alveolar pneumonia (CAAP) and bronchiolitis] during hospitalization (visit 1), 7-14 days (visit 2) and 28-35 days (visit 3) in 2-17-month-old children. Controls were 2-27-month-old children hospitalized for elective surgery during the same respiratory seasons. RESULTS: We enrolled 99 infants (37 CAAP, 38 bronchiolitis and 24 controls) and obtained 211 nasopharyngeal swabs. Overall, 163 (77%) had greater than or equal to 1 viruses detected; RV/EV (n = 94; 45%) and RSV (n = 71; 34%) were the most frequently detected viruses. In CAAP, the overall LRI-virus prevalence was 78.4%, 32.4% and 5.4% in visits 1, 2 and 3, respectively; the respective rates in bronchiolitis were 73.7%, 34.5% and 8.0%. In controls, no LRI-viruses were detected. In contrast, the overall AdV/RV/CoV prevalence was high among controls (70.8%) and similar among CAAP (48.6%, 40.5% and 40.5%) and bronchiolitis (47.4, 58.6% and 64.0%) across visits. CONCLUSIONS: Among ALRI cases, LRI-viruses dominated during the acute disease, with prevalence declining within 28-35 days, suggesting their causative role. In contrast, AdV/RV/CoV prevalence was similar during all 3 visits and in controls, suggesting that carriage of these viruses is common during the viral respiratory season. The current study is relatively small and of short duration; however, the findings are supported by other recent studies.

Reduction of in-hospital non-COVID-19 pneumonia in stroke patients during the COVID-19 pandemic.

BACKGROUND: Measures adopted to contain the spread of SARS-CoV-2 could have led to a reduction in the rate of non-COVID-19 infections. We assessed whether a similar reduction was present in patients with stroke. METHODS: We performed a hospital-based study nested in a prospective population-based registry. We compared prevalence of infections and in-hospital mortality in subjects admitted for acute stroke between the first pandemic year (study period, from March 2020 to February 2021) and the pre-pandemic year (control period, from March 2019 to February 2020). Infections were reported as pneumonia (PNA), urinary tract infections (UTI), and any infection (INF). RESULTS: From the control (n = 677) to the study period (n = 520), the prevalence of INF decreased from 11.5 to 4.6% (p < 0.001) and that of PNA decreased from 6.9 to 2.5% (p = 0.001). No changes in in-hospital mortality and length of hospital stay were observed between the two periods. CONCLUSIONS: The observed reduction of in-hospital pneumonias in patients with stroke was likely attributable to the use of protective measures and limitation of hospital visits. Maintaining some of those measures in the long term may contribute to control infections in hospitalized patients with stroke.

[Advances in epidemiology, etiology, and treatment of community-acquired pneumonia].

Community-acquired pneumonia (CAP) is the third leading cause of death worldwide and one of the most commonly infectious diseases. Its epidemiological characteristics vary with host and immune status, and corresponding pathogen spectrums migrate over time and space distribution. Meanwhile, with the outbreak of COVID-19, some unconventional treatment strategies are on the rise. This article reviewed the epidemiological characteristics, pathogen spectrum and treatment direction of CAP in China over the years, and aimed to provide guidance for the diagnosis and treatment of CAP in clinical practice.

Epidemiological characteristics of community-acquired pneumonia and effects from the COVID-19 pandemic in Shenzhen of China.

OBJECTIVE: This study aimed to observe the impact of the coronavirus disease 2019 (COVID-19) pandemic on the incidence of non-COVID-19 community-acquired pneumonia (CAP) in Shenzhen of China, offering new ideas for evaluating the effects of non-pharmaceutical interventions. METHODS: A retrospective analysis was conducted of inpatients with pneumonia from 2017 to 2021. Epidemiological characteristics of CAP and effects from the COVID-19 pandemic were analyzed by the basic characteristics, time distribution, etiology and disease burden. RESULTS: There were a total of 5746 CAP inpatient cases included from 2017 to 2021. The number of CAP hospitalizations decreased during the pandemic from 2020 to 2021, with seasonal variations of being higher in spring and winter and lower in summer and autumn, whereas it was prevalent throughout the year prior to the pandemic. The children group decreased significantly during the pandemic, with a 15% decrease in the share of CAP inpatients. The detection rates of bacteria and mycoplasma decreased in CAP patients, while the detection rate of the virus increased, and the number of moderate and severe cases reduced more than that of the mild. CONCLUSION: Non-pharmaceutical interventions from COVID-19 have led to a decrease in the number of CAP inpatients, especially for children, with a specific seasonal prevalence in spring and winter, when the prevention interventions should be strengthened further for adults during the pandemic.

Management of Unique Pneumonias Seen in the Intensive Care Unit.

Infection of the lower respiratory tract is a potentially severe or life-threatening illness. Taking the right steps to recognize, identify, and treat pneumonia is critical to improving patient outcomes. An awareness of the diversity of potential infectious causes, the local endemic flora and resistance patterns, as well as testing strategies to differentiate causes of pneumonia is essential to providing the best patient outcomes. Understanding surveillance definitions allow intensivists to become partners in reducing hospital-associated infections and improving quality of care.

Impact of social deprivation on clinical outcomes of adults hospitalised with community-acquired pneumonia in England: a retrospective cohort study.

INTRODUCTION: Socioeconomic deprivation has been associated with an increased incidence of infection and poorer clinical outcomes during influenza pandemics and the COVID-19 pandemic. The aim of this study was to determine the relationship between deprivation and adverse clinical outcomes following hospital admission with community-acquired pneumonia (CAP), specifically 30-day all-cause mortality and non-elective hospital readmission. METHODS: Data from the British Thoracic Society national CAP audit on patients admitted to hospital with CAP in England between 1 December 2018 and 31 January 2019 were linked to patient-level Hospital Episode Statistics data and Index of Multiple Deprivation (IMD) scores. Multivariable logistic regression models were used to examine the association between deprivation and (a) 30-day mortality and (b) 30-day readmission with p values for trend reported. Age was examined as a potential effect modifier on the effect of IMD quintile on mortality and subsequent subanalysis in those <65 and ≥65 years was performed. RESULTS: Of 9165 adults admitted with CAP, 24.7% (n=2263) were in the most deprived quintile. No significant trend between deprivation and mortality was observed (p trend=0.38); however, the association between deprivation and mortality differed by age group. In adults aged<65 years, 30-day mortality was highest in the most deprived and lowest in the least deprived quintiles (4.4% vs 2.5%, aOR 1.83, 95% CI 0.84 to 4.0) with a significant trend across groups (p trend=0.04). Thirty-day readmission was highest in the most deprived quintile (17.1%) with a significant p trend across groups (p trend 0.003). Age-adjusted odds of readmission were highest in the most deprived compared with the least deprived (aOR 1.41, 95% CI 1.16 to 1.73). CONCLUSIONS: In adults aged<65 years hospitalised with CAP in England, mortality varied inversely with indices of social deprivation. There was also a significant association between deprivation and 30-day readmission. Strategies are required to decrease health inequalities in pneumonia mortality and hospital readmissions associated with deprivation.

The association between respiratory diseases and periodontitis: A systematic review and meta-analysis.

AIM: To evaluate (1) whether periodontitis has an influence on the prevalence/incidence of respiratory diseases (chronic obstructive pulmonary disease [COPD], asthma, community-acquired pneumonia [CAP], obstructive sleep apnoea [OSA] and COVID-19), and (2) what is the impact of periodontal therapy on the onset or progression of respiratory diseases. MATERIALS AND METHODS: An electronic search was performed on Pubmed, Cochrane Library and Scopus databases up to October 2021, to identify studies answering the PECOS and PICOS questions. RESULTS: Seventy-five articles were selected. Meta-analyses identified statistically significant associations of periodontitis with COPD (nstudies  = 12, odds ratio [OR] = 1.28, 95% confidence interval [CI] [1.16; 1.42], p < .001), and OSA (ns  = 6, OR = 1.65, 95% CI [1.21; 2.25], p = .001), but not for asthma (ns  = 9, OR = 1.53, 95% CI [0.82; 2.86], p = .181). For acute conditions, two studies were found for CAP, while for COVID-19, significant associations were found for the need of assisted ventilation (ns  = 2, OR = 6.24, 95% CI [2.78; 13.99], p < .001) and COVID-related mortality (ns  = 3, OR = 2.26, 95% CI [1.36, 3.77], p = .002). Only four intervention studies were found, showing positive effects of periodontal treatment on COPD, asthma and CAP. CONCLUSIONS: A positive association between periodontitis and COPD, OSA and COVID-19 complications has been found, while there is a lack of intervention studies.

Comparative Incidence of Diabetes Following Hospital Admission for COVID-19 and Pneumonia: A Cohort Study.

OBJECTIVE: The incidence of diabetes may be elevated following coronavirus disease 2019 (COVID-19), but it is unclear whether this is specific to severe acute respiratory syndrome coronavirus 2 infection, associated with shared risk factors for severe COVID-19 and diabetes, and/or a generic risk following illness. RESEARCH DESIGN AND METHODS: People admitted to the hospital for COVID-19 and/or pneumonia between 1 April 2020 and 31 August 2020 in England were linked with the National Diabetes Audit to identify incident diabetes after discharge up to 31 March 2021. Comparator cohorts admitted with pneumonia over the same dates in 2017, 2018, and 2019 were followed until 31 March 2018, 31 March 2019, and 31 March 2020, respectively. Poisson regression models were used to calculate adjusted diabetes incidence rates. RESULTS: Using the cohort of people discharged from the hospital following a diagnosis of COVID-19 without pneumonia in 2020 as the standard population (incidence rate 16.4 [95% CI 12.8-20.7] per 1,000 person-years), adjusting for age, sex, ethnicity, and deprivation, gave incidence rates of 19.0 (95% CI 13.8-25.6) and 16.6 (95% CI 13.3-20.4) per 1,000 person-years for those admitted for COVID-19 with pneumonia and pneumonia without COVID-19, respectively, in 2020. These rates are not significantly different from those found after hospital admission for pneumonia in 2019, 2018, and 2017, at 13.7 (95% CI 10.8-17.3), 13.8 (95% CI 10.9-17.4), and 14.2 (95% CI 10.9-18.3) per 1,000 person-years, respectively. CONCLUSIONS: Our data do not support a clear impact of COVID-19 on the incidence of diabetes compared with risks in several comparator groups, including contemporaneously assessed risks in people hospitalized with pneumonia.