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1.
Infection ; 52(3): 1099-1111, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38366304

ABSTRACT

PURPOSE: In late 2022, a surge of severe S. pyogenes infections was reported in several European countries. This study assessed hospitalizations and disease severity of community-acquired bacterial infections with S. pyogenes, S. pneumoniae, N. meningitidis, and H. influenzae among children in North Rhine-Westphalia (NRW), Germany, during the last quarter of 2022 compared to long-term incidences. METHODS: Hospital cases due to bacterial infections between October and December 2022 were collected in a multicenter study (MC) from 59/62 (95%) children's hospitals in NRW and combined with surveillance data (2016-2023) from the national reference laboratories for streptococci, N. meningitidis, and H. influenzae. Overall and pathogen-specific incidence rates (IR) from January 2016 to March 2023 were estimated via capture-recapture analyses. Expected annual deaths from the studied pathogens were calculated from national death cause statistics. RESULTS: In the MC study, 153 cases with high overall disease severity were reported with pneumonia being most common (59%, n = 91). IRs of bacterial infections declined at the beginning of the COVID-19 pandemic and massively surged to unprecedented levels in late 2022 and early 2023 (overall hospitalizations 3.5-fold), with S. pyogenes and S. pneumoniae as main drivers (18-fold and threefold). Observed deaths during the study period exceeded the expected number for the entire year in NRW by far (7 vs. 0.9). DISCUSSION: The unprecedented peak of bacterial infections and deaths in late 2022 and early 2023 was caused mainly by S. pyogenes and S. pneumoniae. Improved precautionary measures are needed to attenuate future outbreaks.


Subject(s)
Community-Acquired Infections , Disease Outbreaks , Humans , Germany/epidemiology , Community-Acquired Infections/epidemiology , Community-Acquired Infections/microbiology , Child , Child, Preschool , Infant , Disease Outbreaks/statistics & numerical data , Adolescent , Female , Male , Hospitalization/statistics & numerical data , Bacterial Infections/epidemiology , Incidence , Infant, Newborn , Streptococcus pyogenes
2.
Article in English | MEDLINE | ID: mdl-25143761

ABSTRACT

BACKGROUND: The response to methotrexate so far is unpredictable in patients with juvenile idiopathic arthritis. Thus such predictors have to be determined in a large patient cohort. METHODS: Demographic, clinical, articular and laboratory variables of patients newly treated with methotrexate were analysed by bivariate and logistic regression analysis to identify predictors of response to methotrexate. Minimal response was defined by the American College of Rheumatology pediatric (PedACR) 30 and strong response by the PedACR 70 criteria. RESULTS: The patient population consisted of 731 patients. At month 3, 77.4% and at month 12 83.1% of patients were responders according to the PedACR 30 criteria, while 43.1% and 65.9% of patients had a PedACR 70 response at month 3 and at month 12. Thus minimal response was frequently already reached at month 3 while strong response to MTX treatment took usually longer to achieve. In multivariate analysis the number of tender joints (p = 0.002), active joints (p < 0.001), concomitant use of NSAID (p = 0.027) and the parents evaluation of overall well-being (p < 0.001) were significant baseline parameters for minimal response at month 3, while at month 12 the determinants for reaching PedACR 70 were a disease duration < 1 year (p =0.001), a lower number of tender (p <0.001) but a higher number of active joints (p <0.001), a higher score of the parent's evaluation of child's pain (p =0.029), and the presence of morning stiffness (p =0.014). CONCLUSIONS: Baseline parameters for minimal response after 3 months of treatment and strong response after 12 months of treatment could be identified. Beside parameters defining activity and severity of disease, the disease duration and the concomitant use of NSAID were influencing factors. Overall the model of prediction could support physicians in making treatment decisions.


Subject(s)
Antirheumatic Agents/therapeutic use , Arthritis, Juvenile/drug therapy , Methotrexate/therapeutic use , Adolescent , Child , Child, Preschool , Cohort Studies , Dose-Response Relationship, Drug , Female , Humans , Infant , Logistic Models , Male , Registries , Retrospective Studies , Time Factors , Treatment Outcome
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