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1.
Pediatr Infect Dis J ; 42(12): 1117-1120, 2023 12 01.
Article in English | MEDLINE | ID: mdl-37725820

ABSTRACT

BACKGROUND: Cytomegalovirus is the most common cause of congenital infections worldwide. Screening all newborns in the first 2 weeks of life is the only way to detect all cases of congenital infection, allowing the monitoring of children with asymptomatic infection at birth and early intervention. AIM: In this multicenter study, we aimed to evaluate the feasibility of using a saliva pool strategy for mass screening in 7 Portuguese hospitals, and to estimate the current prevalence of this congenital infection in these hospitals. METHODS: A total of 7033 newborns were screened between June 2020 and June 2022, and 704 pools of 10 saliva samples were analyzed by polymerase chain reaction (PCR). RESULTS: Of the 704 pools analyzed, 685 were negative and 19 had positive PCR results for cytomegalovirus. After individual PCR testing, 26 newborns had positive saliva results, of which 15 were confirmed by urine testing. Thus, this study's prevalence of congenital infection was 0.21% (95% confidence interval: 0.12%-0.35%). CONCLUSIONS: In this study, the pooling strategy proved to be effective for the systematic screening of newborns, although this low prevalence raises questions regarding the cost-effectiveness of implementing universal screening. However, this prevalence is probably the result of the control measures taken during the pandemic; therefore, the rates are expected to return to prepandemic values, but only a new study after the pandemic will be able to confirm this.


Subject(s)
Cytomegalovirus Infections , Infant, Newborn, Diseases , Child , Humans , Infant, Newborn , Cytomegalovirus Infections/diagnosis , Cytomegalovirus Infections/epidemiology , Prospective Studies , Saliva , Neonatal Screening/methods , DNA, Viral/analysis , Cytomegalovirus/genetics
2.
Eur J Pediatr ; 181(3): 1259-1262, 2022 Mar.
Article in English | MEDLINE | ID: mdl-34595613

ABSTRACT

Cytomegalovirus (CMV) is the most frequent cause of congenital infection all over the world. Its prevalence ranges from 0.2 to 2.2%. Transmission from children to their pregnant mothers is a well-known risk factor, particularly if they attend a childcare centre. This study aims to compare the prevalence of CMV congenital infection (CMV_CI) in Portugal (Lisbon) between two studies, performed respectively in 2019 and 2020. In the 2019 study, performed in two hospitals, we found a 0.67% CMV_CI prevalence, using a pool strategy previously tested with saliva samples. In the 2020 study, using the same pool approach in four hospitals (the previous and two additional), and based on 1277 samples, the prevalence was 0.078%.Conclusion: The close temporal coincidence with COVID-19 lockdown suggests that these measures may have had a significant impact on this reduction, although other explanations cannot be ruled-out. What is Known: • Cytomegalovirus is the leading cause of congenital infection. • Behavioural measures decrease cytomegalovirus seroconversion in pregnant women. What is New: • From 2019 to 2020 there was a significant reduction in the prevalence of congenital CMV infection.


Subject(s)
COVID-19 , Cytomegalovirus Infections , Pregnancy Complications, Infectious , COVID-19/epidemiology , COVID-19/prevention & control , Child , Communicable Disease Control , Cytomegalovirus Infections/congenital , Cytomegalovirus Infections/epidemiology , Cytomegalovirus Infections/prevention & control , Female , Humans , Portugal/epidemiology , Pregnancy , Pregnancy Complications, Infectious/epidemiology , Pregnancy Complications, Infectious/prevention & control , Prevalence , SARS-CoV-2
5.
Pediatrics ; 146(3)2020 09.
Article in English | MEDLINE | ID: mdl-32843440

ABSTRACT

BACKGROUND: New biomarkers like procalcitonin and C-reactive protein may help design an accurate decision support tool used to identify children with pleocytosis at low or high risk of bacterial meningitis. Our objective was to develop and validate a score (that we call the meningitis score for emergencies [MSE]) to distinguish bacterial meningitis from aseptic meningitis in children with pleocytosis when initially evaluated at the emergency department. METHODS: We included children between 29 days and 14 years old with meningitis admitted to 25 Spanish emergency departments. A retrospective cohort from between 2011 and 2016 was used as the derivation set and a prospective cohort recruited during 2017 and 2018 was used as the validation set. RESULTS: Among the 1009 patients included, there were 917 cases of aseptic meningitis and 92 of bacterial meningitis. Using multivariable logistic regression analysis, we identified the following predictors of bacterial meningitis from the derivation set: procalcitonin >1.2 ng/mL, cerebrospinal fluid (CSF) protein >80 mg/dL, CSF absolute neutrophil count >1000 cells per mm3, and C-reactive protein >40 mg/L. Using the derivation set, we developed the MSE, assigning 3 points for procalcitonin, 2 points for CSF protein, and 1 point for each of the other variables. An MSE ≥1 predicted bacterial meningitis with a sensitivity of 100% (95% confidence interval [CI]: 95.0%-100%), a specificity of 83.2 (95% CI: 80.6-85.5), and a negative predictive value of 100% (95% CI 99.4-100.) CONCLUSIONS: The MSE accurately distinguishes bacterial from aseptic meningitis in children with CSF pleocytosis.


Subject(s)
Clinical Decision Rules , Meningitis, Aseptic/diagnosis , Meningitis, Bacterial/diagnosis , Adolescent , Biomarkers/blood , C-Reactive Protein/analysis , Cerebrospinal Fluid Proteins/analysis , Child , Child, Preschool , Confidence Intervals , Diagnosis, Differential , Emergency Service, Hospital , Female , Humans , Infant , Leukocyte Count , Leukocytosis/diagnosis , Logistic Models , Male , Meningitis, Aseptic/blood , Meningitis, Aseptic/epidemiology , Meningitis, Bacterial/blood , Meningitis, Bacterial/epidemiology , Meningitis, Bacterial/microbiology , Neutrophils/cytology , Procalcitonin/blood , Prospective Studies , ROC Curve , Retrospective Studies , Sample Size , Sensitivity and Specificity , Spain
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