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1.
Pediatr Infect Dis J ; 43(4): e128-e130, 2024 Apr 01.
Article in English | MEDLINE | ID: mdl-38241645

ABSTRACT

Understanding the correlation between immune response and protection from COVID-19 will play a pivotal role in predicting the effectiveness of vaccines in children. We studied SARS-CoV-2 reinfection risk in children 12 months post-mild COVID-19. Children under 5 years old exhibited lower reinfection risk than older infected or vaccinated siblings during 12 months postimmunization.


Subject(s)
COVID-19 , SARS-CoV-2 , Child , Humans , Child, Preschool , Reinfection/epidemiology , Siblings
2.
Vaccines (Basel) ; 11(8)2023 Aug 09.
Article in English | MEDLINE | ID: mdl-37631916

ABSTRACT

BACKGROUND: Possible cardiac impairment after SARS-CoV-2 mRNA vaccination is a common driver of parental vaccine hesitancy. We performed a comprehensive echocardiographic evaluation of biventricular function in vaccinated children with or without previous COVID-19 compared to healthy controls. METHODS: We conducted a single-center, prospective, case-control study enrolling children and adolescents aged 5-18 years attending the pediatric clinic of the University Hospital of Padua from April to June 2022. Three months after receiving the primary mRNA vaccination or booster dose, the patients underwent a cardiac assessment, including standard echocardiography and speckle-tracking echocardiography (STE). A pre-pandemic historical cohort of age- and gender-matched healthy children were used as a control. RESULTS: A total of 39 post-VACCINE cases (24, 61% female), mean age 12.6 ± 2.6 years (range 8-17), were enrolled in the study. Ninety percent (N = 35) of patients were previously healthy. No differences in left ventricular diameters, left ventricular ejection fraction (LVEF), and tricuspid annular plane systolic excursion (TAPSE) were observed between cases and controls. Global longitudinal strain (GLS) was in the normal range in all individuals, with no differences between post-VACCINE cases and controls (-21.7 ± 2.3% vs. 21.2 ± 1.8%; p = 0.338). However, GLS was found to be slightly but significantly reduced in post-VACCINE children with a previous COVID-19 compared to naïve-vaccinated individuals (post-VACCINE+COVID-19: -19.9 ± 1.1% vs. post-VACCINE-only: -22.0 ± 2.3%; p = 0.002). CONCLUSIONS: We did not observe an impairment in GLS or in other indices of LV structure or function after mRNA COVID-19 vaccination.

3.
PLoS One ; 17(10): e0276116, 2022.
Article in English | MEDLINE | ID: mdl-36240212

ABSTRACT

Logistic regression (LR) is the most common prediction model in medicine. In recent years, supervised machine learning (ML) methods have gained popularity. However, there are many concerns about ML utility for small sample sizes. In this study, we aim to compare the performance of 7 algorithms in the prediction of 1-year mortality and clinical progression to AIDS in a small cohort of infants living with HIV from South Africa and Mozambique. The data set (n = 100) was randomly split into 70% training and 30% validation set. Seven algorithms (LR, Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naïve Bayes (NB), Artificial Neural Network (ANN), and Elastic Net) were compared. The variables included as predictors were the same across the models including sociodemographic, virologic, immunologic, and maternal status features. For each of the models, a parameter tuning was performed to select the best-performing hyperparameters using 5 times repeated 10-fold cross-validation. A confusion-matrix was built to assess their accuracy, sensitivity, and specificity. RF ranked as the best algorithm in terms of accuracy (82,8%), sensitivity (78%), and AUC (0,73). Regarding specificity and sensitivity, RF showed better performance than the other algorithms in the external validation and the highest AUC. LR showed lower performance compared with RF, SVM, or KNN. The outcome of children living with perinatally acquired HIV can be predicted with considerable accuracy using ML algorithms. Better models would benefit less specialized staff in limited resources countries to improve prompt referral in case of high-risk clinical progression.


Subject(s)
Acquired Immunodeficiency Syndrome , Bayes Theorem , Child , Humans , Logistic Models , Machine Learning , Neural Networks, Computer
4.
Pediatr Infect Dis J ; 41(10): e434-e437, 2022 10 01.
Article in English | MEDLINE | ID: mdl-35939607

ABSTRACT

A unified surveillance mechanism for hand hygiene and hospital-acquired infections for pediatric wards is lacking in Europe. We managed to setup such a mechanism in 9 pediatric intensive care units in 7 European countries, using World Health Organization's definitions and common methodology which allows for benchmarking among units and countries. Median hand hygiene compliance was found high 82.3% (interquartile range 71.6-94.5%), but gaps in practices were identified.


Subject(s)
Anti-Infective Agents , Cross Infection , Hand Hygiene , Child , Cross Infection/epidemiology , Cross Infection/prevention & control , Guideline Adherence , Hand Disinfection/methods , Hand Hygiene/methods , Humans , Infection Control/methods , Intensive Care Units , Intensive Care Units, Pediatric
5.
BMC Public Health ; 22(1): 1312, 2022 07 08.
Article in English | MEDLINE | ID: mdl-35804333

ABSTRACT

BACKGROUND: The World Health Organization (WHO) risk assessment algorithm for vertical transmission of HIV (VT) assumes the availability of maternal viral load (VL) result at delivery and early viral control 4 weeks after initiating antiretroviral treatment (ART). However, in many low-and-middle-income countries, VL is often unavailable and mothers' ART adherence may be suboptimal. We evaluate the inclusion of the mothers' self-reported adherence into the established WHO-algorithm to identify infants eligible for enhanced post-natal prophylaxis when mothers' VL result is not available at delivery. METHODS: We used data from infants with perinatal HIV infection and their mothers enrolled from May-2018 to May-2020 in Mozambique, South Africa, and Mali. We retrospectively compared the performance of the WHO-algorithm with a modified algorithm which included mothers' adherence as an additional factor. Infants were considered at high risk if born from mothers without a VL result in the 4 weeks before delivery and with adherence <90%. RESULTS: At delivery, 143/184(78%) women with HIV knew their status and were on ART. Only 17(12%) obtained a VL result within 4 weeks before delivery, and 13/17(76%) of them had VL ≥1000 copies/ml. From 126 women on ART without a recent VL result, 99(79%) had been on ART for over 4 weeks. 45/99(45%) women reported suboptimal (< 90%) adherence. A total of 81/184(44%) infants were classified as high risk of VT as per the WHO-algorithm. The modified algorithm including self-adherence disclosure identified 126/184(68%) high risk infants. CONCLUSIONS: In the absence of a VL result, mothers' self-reported adherence at delivery increases the number of identified infants eligible to receive enhanced post-natal prophylaxis.


Subject(s)
Anti-HIV Agents , HIV Infections , Pregnancy Complications, Infectious , Algorithms , Anti-HIV Agents/therapeutic use , Anti-Retroviral Agents/therapeutic use , Female , HIV Infections/prevention & control , Humans , Infant , Infectious Disease Transmission, Vertical/prevention & control , Male , Pregnancy , Pregnancy Complications, Infectious/drug therapy , Retrospective Studies , Risk Assessment , Self Report , World Health Organization
6.
Pediatr Infect Dis J ; 40(2): 130-136, 2021 02 01.
Article in English | MEDLINE | ID: mdl-33055500

ABSTRACT

INTRODUCTION AND OBJECTIVE: Community-acquired pneumonia (CAP) is one of the most common reasons of prescribing antibiotics for children, often with overuse of broad-spectrum antibiotics. The aim of this study is to describe the antibiotic prescriptions for Italian children with CAP, at the primary care level. STUDY DESIGN: Retrospective cohort study conducted among children 3 months-14 years of age with CAP, enrolled in Pedianet (http://www.pedianet.it) from January 1, 2009 to December 31, 2018. Antibiotic treatment was defined as narrow-spectrum (NS-ABT) if amoxicillin and broad-spectrum (BS-ABT) if amoxicillin/clavulanic acid, cephalosporins or any combination. Crude and adjusted logistic regressions for the odds of receiving NS-ABT were conducted (all episodes of CAP and per patient). A P value <0.05 was considered statistically significant. RESULTS: Among 9691 CAP, 7260 episodes from 6409 children followed by 147 pediatricians were analyzed. The 16.7% of CAP [1216/7260, 95% confidence interval (CI): 15.9%-17.6%] received an NS-ABT while 53.3% (3863/7260, 95% CI: 52%-54.4%) received BS-ABTs and 30% (2181/7260, 95% CI: 28.9%-31.1%) macrolides. Within 10 years, a slight but increasing trend of NS-ABT prescription was observed (P < 0.001). Factors independently associated with reduced odds of receiving an NS-ABT compared with BS-ABT including macrolides were being older than 5 years [odds ratio (OR) 0.45, 95% CI: 0.39-0.52], living in Central/Southern Italy (OR 0.13, 95% CI: 0.10-0.16) and being exposed to ABT 3 months before (OR 0.61, 95% CI: 0.53-0.70). These findings were confirmed comparing NS-ABT versus BS-ABT excluding macrolides (n = 5079) and when the analysis was limited to index CAP. CONCLUSION: Our findings report a very limited prescription of narrow-spectrum antibiotics for Italian children with CAP.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Community-Acquired Infections/drug therapy , Community-Acquired Infections/epidemiology , Pneumonia, Bacterial/drug therapy , Pneumonia, Bacterial/epidemiology , Child , Child, Preschool , Female , Humans , Italy/epidemiology , Male , Retrospective Studies
7.
Pediatr Infect Dis J ; 39(2): 114-120, 2020 02.
Article in English | MEDLINE | ID: mdl-31725552

ABSTRACT

BACKGROUND: Data on Candida bloodstream infections in pediatric patients in Europe are limited. We performed a retrospective multicenter European study of the epidemiology and outcome of neonatal and pediatric candidemia. MATERIAL AND METHODS: All first positive blood cultures from patients ≤ 18 years of age with candidemia were registered. Patients' demographic and clinical characteristics and causative Candida species were collected and analyzed. Regression analysis was used to identify factors independently associated with mortality. RESULTS: One thousand three hundred ninety-five episodes of candidemia (57.8% male) were reported from 23 hospitals in 10 European countries. Of the 1395 episodes, 36.4% occurred in neonates (≤ 44 weeks postmenstrual age), 13.8% in infants (> 44 weeks postmenstrual age to 1 year) and 49.8% in children and adolescents. Candida albicans (52.5%) and Candida parapsilosis (28%) were the predominant species. A higher proportion of candidemia caused by C. albicans was observed among neonatal patients (60.2%) with highest rates of C. parapsilosis seen among infants (42%). Children admitted to hematology-oncology wards presented the highest rates of non-albicans Candida species. Candidemia because of C. albicans was more frequent than non-albicans Candida in Northern versus Southern Europe (odds ratio, 2.3; 95% confidence interval, 1.8-2.9; P < 0.001). The all-cause mortality at 30 days was 14.4%. All-cause mortality was higher among patients admitted to the neonatal or pediatric intensive care units than other wards. Over time, no significant changes in species distribution were observed. CONCLUSIONS: This first multicenter European study shows unique characteristics of the epidemiology of pediatric candidemia. The insights obtained from this study will be useful to guide clinical management and antifungal stewardship.


Subject(s)
Candidemia/epidemiology , Candidemia/etiology , Adolescent , Age Factors , Candida/isolation & purification , Candidemia/diagnosis , Child , Child, Preschool , Cross Infection , Disease Susceptibility , Europe/epidemiology , Female , Hospitalization , Humans , Infant , Infant, Newborn , Intensive Care Units, Pediatric , Male , Patient Outcome Assessment , Prognosis , Public Health Surveillance , Retrospective Studies , Risk Assessment , Risk Factors
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