Penicillin V versus amoxicillin for pneumonia in children - a Swedish nationwide emulated target trial.

OBJECTIVES: While most countries recommend amoxicillin for pediatric pneumonia, there is a long tradition of treatment with penicillin V (PcV) in Sweden, thus not empirically covering Haemophilus influenzae. There are, however, large regional differences in treatment practice. The aim was to compare clinical outcomes (treatment failure and severe complications), in children aged 1 to 59 months treated with PcV versus amoxicillin for pneumonia. METHODS: This population-based emulated target trial included all children born in Sweden between 2001-2021, utilizing national health, sociodemographic, and population registers. All pneumonia cases from hospitals and pediatric outpatient clinics in children aged 1 to 59 months treated as outpatients with PcV or amoxicillin between July 2005-December 2021, were identified. Adjusted odds ratios (aOR)s and 95% confidence intervals (CI)s for treatment failure (new dispensed antibiotic prescription or pneumonia associated hospitalization day 1-14) and severe complications (lung complications, invasive bacterial disease, admission to intensive care unit or death day 1-28) were calculated with logistic regression analysis. RESULTS: PcV was prescribed in 14,766 cases, and amoxicillin in 10,566. Treatment failure occurred in 7.7% with PcV versus 4.7% with amoxicillin, aOR 1.76 (95% CI: 1.54-2.00). Severe complications were rare, with no significant difference between PcV and amoxicillin (0.3% vs. 0.2%, aOR 0.96, 95% CI: 0.53-1.73). Sensitivity and interaction analyses showed consistent results. CONCLUSIONS: PcV treatment compared to amoxicillin, was associated with an increased risk for treatment failure but not for severe complications. The absolute risks for adverse outcomes were low in both groups suggesting a minor role of H. influenzae in pediatric pneumonia.

Comorbidity Between Inflammatory Bowel Disease and Asthma and Allergic Diseases: A Genetically Informed Study.

BACKGROUND: Little is known about shared origins between inflammatory bowel disease (IBD) and allergic diseases (asthma, allergic rhinitis, and eczema). We aimed to expand current knowledge on the etiological sources of comorbidities between these disorders using a range of genetically informed methods. METHODS: Within-individual and familial co-aggregation analysis was applied to 2 873 445 individuals born in Sweden from 1987 to 2014 and their first- and second-degree relatives. Quantitative genetic modeling was applied to 38 723 twin pairs to decompose the genetic and environmental sources for comorbidity. Polygenic risk score analysis between IBD and allergic diseases was conducted in 48 186 genotyped twins, and linkage disequilibrium score regression was applied using publicly available data to explore the genetic overlap. RESULTS: IBD was associated with asthma (adjusted odds ratio [aOR], 1.35; 95% confidence interval [CI], 1.30 to 1.40), allergic rhinitis (aOR, 1.27; 95% CI, 1.20 to 1.34), and eczema (aOR, 1.47; 95% CI, 1.38 to 1.56), with similar estimates for ulcerative colitis or Crohn's disease. The ORs for familial co-aggregation decreased with decreasing genetic relatedness. Quantitative genetic modeling revealed little evidence of common genetic factors between IBD and allergic diseases (eg, IBD and allergic rhinitis; genetic correlation ra = 0.06; 95% CI, -0.03 to 0.15) but did reveal some evidence of unique environmental factors between IBD and eczema (re = 0.16; 95% CI, 0.00 to 0.32). Molecular genetic analyses were similarly null for IBD and allergic diseases, except for a slight association between Crohn's disease polygenic risk score and eczema (OR, 1.09; 95% CI, 1.06 to 1.12). CONCLUSIONS: We found little evidence to support a shared origin between IBD and any allergic disease but weak evidence for shared genetic and unique environmental components for IBD and eczema.

Comorbidities between inflammatory bowel disease (IBD) with asthma and allergic diseases have been documented, but shared origin remains unknown. Using multiple genetically informed approaches, we found little evidence of a shared origin explaining the comorbidities of IBD with asthma and allergic rhinitis but weak evidence for IBD and eczema.

Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model.

BACKGROUND: Novel immunisation methods against respiratory syncytial virus (RSV) are emerging, but knowledge of risk factors for severe RSV disease is insufficient for optimal targeting of interventions against them. Our aims were to identify predictors for RSV hospital admission from registry-based data and to develop and validate a clinical prediction model to guide RSV immunoprophylaxis for infants younger than 1 year. METHODS: In this model development and validation study, we studied all infants born in Finland between June 1, 1997, and May 31, 2020, and in Sweden between June 1, 2006, and May 31, 2020, along with the data for their parents and siblings. Infants were excluded if they died or were admitted to hospital for RSV within the first 7 days of life. The outcome was hospital admission due to RSV bronchiolitis during the first year of life. The Finnish study population was divided into a development dataset (born between June 1, 1997, and May 31, 2017) and a temporal hold-out validation dataset (born between June 1, 2017, and May 31, 2020). The development dataset was used for predictor discovery and selection in which we screened 1511 candidate predictors from the infants', parents', and siblings' data, and developed a logistic regression model with the 16 most important predictors. This model was then validated using the Finnish hold-out validation dataset and the Swedish dataset. FINDINGS: In total, there were 1 124 561 infants in the Finnish development dataset, 130 352 infants in the Finnish hold-out validation dataset, and 1 459 472 infants in the Swedish dataset. In addition to known predictors such as severe congenital heart defects (adjusted odds ratio 2·89, 95% CI 2·28-3·65), we confirmed some less established predictors for RSV hospital admission, most notably oesophageal malformations (3·11, 1·86-5·19) and lower complexity congenital heart defects (1·43, 1·25-1·63). The prediction model's C-statistic was 0·766 (95% CI 0·742-0·789) in Finnish data and 0·737 (0·710-0·762) in Swedish validation data. The infants in the highest decile of predicted RSV hospital admission probability had 4·5 times higher observed risk compared with others. Calibration varied according to epidemic intensity. The model's performance was similar to a machine learning (XGboost) model using all 1511 candidate predictors (C-statistic in Finland 0·771, 95% CI 0·754-0·788). The prediction model showed clinical utility in decision curve analysis and in hypothetical number needed to treat calculations for immunisation, and its C-statistic was similar across different strata of parental income. INTERPRETATION: The identified predictors and the prediction model can be used in guiding RSV immunoprophylaxis in infants, or as a basis for further immunoprophylaxis targeting tools. FUNDING: Sigrid Jusélius Foundation, European Research Council, Pediatric Research Foundation, and Academy of Finland.

Maternal depression or anxiety during pregnancy and offspring type 1 diabetes: a population-based family-design cohort study.

INTRODUCTION: To investigate the association between maternal depression/anxiety during pregnancy and offspring type 1 diabetes, to assess the specific importance of exposure during pregnancy by comparing across different exposure periods before and/or after pregnancy, and to explore potential unmeasured familial confounding. RESEARCH DESIGN AND METHODS: This was a population-based cohort including 1 807 809 offspring born in Sweden 2002-2019. From national registers, data were available on diagnosis or medication prescription for depression/anxiety in and around pregnancy, as well as incident cases of type 1 diabetes defined through diagnosis or insulin treatment. Associations were examined using flexible parametric and Cox regression models. Familial confounding was explored using paternal exposure as a negative control and by comparing offspring exposed to maternal depression/anxiety with their unexposed siblings. RESULTS: For exposure during pregnancy, maternal depression/anxiety was associated with an increased risk of offspring type 1 diabetes onset after, but not before, 8 years of age (adjusted HR (aHR) 1.21 (95% CI 1.03 to 1.42]). Exposure occurring only during pregnancy was similarly associated to type 1 diabetes (aHR 1.24 (0.96 to 1.60)), whereas exposure occurring only before pregnancy was not (aHR 0.91 (0.64 to 1.30)). Associations were close to the null for paternal depression/anxiety (aHR 0.95 (0.72 to 1.25)), and point estimates were above 1 in sibling comparisons, although with wide CIs (aHR 1.36 (0.82 to 2.26)). CONCLUSIONS: Maternal depression/anxiety specifically during pregnancy seems to be associated with offspring type 1 diabetes. Paternal negative control and sibling comparisons indicate that the results cannot entirely be explained by familial confounding.

Risk factors for multisystem inflammatory syndrome in children - A population-based cohort study of over 2 million children.

Background: Although severe acute COVID-19 is rare in children, SARS-CoV-2 infection can trigger the novel post-infectious condition multisystem inflammatory syndrome in children (MIS-C). Increased knowledge on risk factors for MIS-C could improve our understanding of the pathogenesis of the condition and better guide targeted public health interventions. The aim of the study was to assess risk factors for MIS-C with the aim to identify vulnerable children. Methods: A register-based cohort study including all children and adolescents <19 years born in Sweden between March 1, 2001- December 31, 2020 was performed. Data on sociodemographic risk factors and comorbidities (sex, age, parental region of birth, parental education, asthma, autoimmune disease, chromosomal anomalies, chronic heart disease, chronic lung disease, obesity, life-limiting condition) were retrieved from national health and population registers. The outcome was MIS-C diagnosis according to the Swedish Pediatric Rheumatology Quality Register during March 1, 2020 - December 8, 2021.Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox regression analysis. Incidence rates per 100 000 person-years were calculated assuming a Poisson distribution. Findings: Among 2 117 443 children included in the study, 253 children developed MIS-C, corresponding to an incidence rate of 6·8 (95% CI: 6·0-7·6) per 100 000 person-years. Male sex (HR 1·65, 95% CI: 1·28-2·14), age 5-11 years (adjusted HR 1·44, 95% CI: 1·06-1·95 using children 0-4 years as reference), foreign-born parents (HR 2·53, 95% CI: 1·93-3·34), asthma (aHR 1·49, 95% CI: 1·00-2·20), obesity (aHR 2·15, 95% CI: 1·09-4·25) and life-limiting conditions (aHR 3·10, 95% CI: 1·80-5·33) were associated with MIS-C. Children 16-18 years had a reduced risk for MIS-C (aHR 0·45, 95% CI: 0·24-0·85). Interpretation: We report increased risks for MIS-C in children with male sex, age 5-11 years, foreign-born parents, asthma, obesity, and life-limiting condition. Knowing these risk populations might facilitate identification of children with MIS-C and potentially guide targeted public health interventions. Nevertheless, the absolute risks for MIS-C were very low. Funding: Financial support was provided from the Swedish Research Council (grant no 2018-02640), the Swedish Heart-Lung Foundation (grant no 20210416), the Asthma and Allergy Association, Ake Wiberg foundation, the Samariten Foundation, the Society of Child Care, and Region Stockholm.

Paediatric asthma and non-allergic comorbidities: A review of current risk and proposed mechanisms.

It is increasingly recognized that children with asthma are at a higher risk of other non-allergic concurrent diseases than the non-asthma population. A plethora of recent research has reported on these comorbidities and progress has been made in understanding the mechanisms for comorbidity. The goal of this review was to assess the most recent evidence (2016-2021) on the extent of common comorbidities (obesity, depression and anxiety, neurodevelopmental disorders, sleep disorders and autoimmune diseases) and the latest mechanistic research, highlighting knowledge gaps requiring further investigation. We found that the majority of recent studies from around the world demonstrate that children with asthma are at an increased risk of having at least one of the studied comorbidities. A range of potential mechanisms were identified including common early life risk factors, common genetic factors, causal relationships, asthma medication and embryologic origins. Studies varied in their selection of population, asthma definition and outcome definitions. Next, steps in future studies should include using objective measures of asthma, such as lung function and immunological data, as well as investigating asthma phenotypes and endotypes. Larger complex genetic analyses are needed, including genome-wide association studies, gene expression-functional as well as pathway analyses or Mendelian randomization techniques; and identification of gene-environment interactions, such as epi-genetic studies or twin analyses, including omics and early life exposure data. Importantly, research should have relevance to clinical and public health translation including clinical practice, asthma management guidelines and intervention studies aimed at reducing comorbidities.

Associations Between Maternal Distress, Cortisol Levels, and Perinatal Outcomes.

OBJECTIVE: Stress during pregnancy may decrease gestational age at birth and birth size. We aimed to investigate the associations between maternal subjective stress measures, salivary cortisol, and perinatal outcomes. METHODS: A cohort of pregnant women (n = 1693) was recruited from eight antenatal care clinics in Stockholm, Sweden. Questionnaires on subjective distress (perceived stress, worry, depression symptoms, sleep quality) and saliva samples for cortisol measurement (morning and evening) were collected in early and late pregnancy. Perinatal outcomes were birth weight, birth length, gestational age, and birth weight for gestational age. We used linear regression to estimate associations adjusted for maternal characteristics. RESULTS: All associations between subjective distress and cortisol levels were close to null and nonsignificant, for example, exp(ß) = 1.001 (95% confidence interval = 0.995 to 1.006) for the morning cortisol level and perceived stress in early pregnancy. Likewise, most associations between distress (subjective and cortisol) and perinatal outcomes were weak and not statistically significant, for example, ß = 1.95 (95% confidence interval = -4.16 to 8.06) for perceived stress in early pregnancy and birth weight. An exception was a statistically significant association between birth weight for gestational age and depression symptoms in early pregnancy, with somewhat higher weight with more symptoms (ß = 0.08; 95% CI = 0.04 to 0.13). The results were similar for stress in early and late pregnancy. CONCLUSIONS: We found no association between subjective distress and cortisol measures irrespective of when in pregnancy the measures were taken. Furthermore, we found no evidence for a longitudinal association between psychological measures of stress or cortisol with lower birth weight, birth weight for gestational age, or gestational age.

Familial Coaggregation of Asthma and Type 1 Diabetes in Children.

Importance: The association between atopic and autoimmune disease, particularly asthma and type 1 diabetes, has been debated. Further understanding of the underlying factors associated with the comorbidity in children is warranted. Objectives: To assess the bidirectional association between asthma and type 1 diabetes and examine the possibility of a shared risk for the diseases by studying their pattern of familial coaggregation. Design, Setting, and Participants: A birth cohort study of children born from January 1, 2001, and followed up until December 31, 2015, was performed. Population data were obtained from multiple national Swedish registers. A total of 1 347 901 singleton children, live-born in Sweden between January 1, 2001, and December 31, 2013, were identified, and children with incomplete data were excluded. The remaining 1 284 748 children were linked to their biological full siblings, maternal and paternal half-siblings, cousins, and half-cousins. Data analysis was conducted from April 1, 2019, to January 17, 2020. Main Outcomes and Measures: Cases of asthma and type 1 diabetes were defined using a combination of diagnoses and medication prescriptions found in the registers. Results: In the cohort of 1 284 748 children, 660 738 children (51.4%) were boys; 121 809 children (9.5%) had asthma, 3812 children (0.3%) had type 1 diabetes, and 494 children had both asthma and type 1 diabetes, representing 0.4% of all asthma or 13% of all type 1 diabetes. Mean (SD) age at diagnosis was 3.0 (2.8) years for children with asthma, and 5.9 (3.3) years for those with type 1 diabetes. Asthma and type 1 diabetes were associated within individuals (odds ratio, 1.15; 95% CI, 1.05-1.27). Children with asthma had an increased risk of subsequent type 1 diabetes (hazard ratio, 1.16; 95% CI, 1.06-1.27); however, subsequent asthma risk did not differ substantially among children with type 1 diabetes (hazard ratio, 0.92; 95% CI, 0.75-1.12). Siblings of individuals with asthma were at an increased risk of type 1 diabetes (odds ratio, 1.27; 95% CI, 1.13-1.42) and vice versa. The results remained positive after controlling for the direct association of one disease with the other. Conclusions and Relevance: This study appears to provide evidence for co-occurrence, importance of sequential appearance, and coaggregation of asthma and type 1 diabetes in children and their siblings. The findings may suggest shared familial factors contributing to the associations. Knowledge of the nature of the association could be of importance in future clinical practice.

Limited association between markers of stress during pregnancy and fetal growth in 'Born into Life', a new prospective birth cohort.

AIMS: We aimed to investigate the associations between perceived maternal stress or salivary cortisol levels during pregnancy and birthweight. METHODS: In 2010-2012, we recruited 92 women living in Stockholm, Sweden, and followed them from before conception and through pregnancy and childbirth. Their Perceived Stress Scale (PSS) scores and salivary cortisol levels were collected at 26-28 gestational weeks. Birthweight was collected from medical records. Linear regression analyses and Pearson correlations were performed between the PSS scores or cortisol levels and birthweight, respectively, adjusted for gestational age. RESULTS: No significant associations were found between PSS scores or cortisol levels and birthweight. There was a trend towards higher salivary cortisol levels among infants with lower birthweights, and this effect was attenuated after adjusting for gestational age. Morning cortisol levels (r = -0.31, p = 0.01), the decline in cortisol levels (r = -0.26, p = 0.03) and evening cortisol levels (r = -0.21, p = 0.09) were negatively correlated with PSS scores. CONCLUSION: Maternal stress during pregnancy was not associated with birthweight. The inverse correlation between PSS scores and cortisol levels may indicate other mechanisms for maternal stress on child outcomes than the previous explanation of hypothalamic-pituitary-adrenal axis activity.