Pregnancy outcomes in Italy during COVID-19 pandemic: a population-based cohort study.

OBJECTIVE: To compare the estimates of preterm birth (PTB; 22-36 weeks gestational age, GA) and stillbirth rates during COVID-19 pandemic in Italy with those recorded in the three previous years. DESIGN: A population-based cohort study of liveborn and stillborn infants was conducted using data from Regional Health Systems and comparing the pandemic period (March 1st , 2020-March 31st , 2021, N= 362,129) to an historical period (January 2017- February 2020, N=1,117,172). The cohort covered 84.3% of the births in Italy. METHODS: Poisson regressions were run in each Region and meta-analyses were performed centrally. We used an interrupted time series regression analysis to study the trend of preterm births from 2017 to 2021. MAIN OUTCOME MEASURES: The primary outcomes were PTB and stillbirths. Secondary outcomes were late PTB (32-36 weeks' GA), very PTB (<32 weeks' GA), and extremely PTB (<28 weeks' GA), overall and stratified into singleton and multiples. RESULTS: The pandemic period compared with the historical one was associated with a reduced risk for PTB (Risk Ratio: 0.91; 95% Confidence Interval, CI: 0.88, 0.93), late PTB (0.91; 0.88, 0.94), very PTB (0.88; 0.84, 0.91), and extremely PTB (0.88; 0.82, 0.95). In multiples, point estimates were not very different, but had wider CIs. No association was found for stillbirths (1.01; 0.90, 1.13). A linear decreasing trend in PTB rate was present in the historical period, with a further reduction after the lockdown. CONCLUSIONS: We demonstrated a decrease in PTB rate after the introduction of COVID-19 restriction measures, without an increase in stillbirths.

COVID-19-like symptoms and their relation to the SARS-CoV-2 epidemic in children and adults of an Italian birth cohort

OBJECTIVES: to estimate the population prevalence of COVID-19-like symptoms in children and adults during the first SARS-CoV-2 epidemic wave hitting Italy in the spring 2020; to assess their geographical correlation with the cumulative number of COVID-19 cases by province; to analyse their clustering within families; to estimate their sensitivity, positive predictive value (PPV) and negative predictive value (NPV) for COVID-19 diagnosis in individuals tested for SARS-CoV-2. DESIGN: cross-sectional study nested within a birth cohort. SETTING AND PARTICIPANTS: mothers participating in an Italian birth cohort (NINFEA) were invited to complete an online questionnaire on COVID-19-like symptoms in their household. MAIN OUTCOME MEASURES: population prevalence of COVID-19-like symptoms in children and adults, geographical correlation of COVID-19-like symptoms with the cumulative number of COVID-19 cases by province, clustering of COVID-19-like symptoms within families, and sensitivity, PPV and NPV of COVID-19-like symptoms for COVID-19 diagnosis in individuals tested for SARS-CoV-2. RESULTS: information was collected on 3,184 households, 6,133 adults, and 5,751 children. In the period March-April 2020, 55.4% of the NINFEA families had at least one member with at least one COVID-19-like symptom. There was a strong geographical correlation between the population cumulative incidence of COVID-19 and the prevalence of muscle pain, fatigue, low-grade fever, and breathing difficulties in adults (Spearman's rho >=0.70). Having at least one family member with a COVID-19 diagnosis, compared with none tested for SARS-CoV-2, was associated with an increased prevalence ratio (PR) of almost all COVID-19-like symptoms in adults, and only of low-grade fever (37-37.5°C; PR 4.54; 95%CI 2.20-9.40) and anosmia/dysgeusia in children. Among adults with COVID-19 diagnosis, fatigue, muscle pain, and fever had a sensitivity >=70%. In individuals tested for SARS-CoV-2, with a 16.6% prevalence of COVID-19, breathing difficulties and nausea/vomiting had the highest PPVs, with point estimates close to 60%, and with NPVs close to 90%. CONCLUSIONS: the geographical prevalence of COVID-19-like symptoms in adults may inform on local disease clusters, while certain symptoms in family members of confirmed COVID-19 cases could help identify the intra-familial spread of the virus and its further propagation in the community. Low-grade fever is frequent in children with at least one household member with COVID-19 and possibly indicates child infection.

Delayed presentation of children to the emergency department during the first wave of COVID-19 pandemic in Italy: Area-based cohort study.

AIM: To ascertain a delay in attendances to the emergency department (ED) during 2020 lockdown. METHODS: Area-based cohort study on paediatric (0-15 years) attendances resulting in hospital admission in Tuscany, Italy, in February-May 2020, and the corresponding periods in 2018-19. We analysed times from symptom onset to arrival, the odds of arriving late (>90th centile of time) and paediatricians' judgements of a late presentation by logistic models. RESULTS: As expected, ED attendance fell sharply (-62%) in 2020 vs 2018-19. As for cases studied (455 in 2020 and 1161 in 2018-19), we documented a delay in arrival to the ED in 2020 versus 2018-19 for several groups of diagnoses, namely gastroenteritis, sepsis, wounds, burns and infections overall. Time to presentation over 90th centile was also higher in 2020 (odds ratio, OR: 1.44; 95% confidence interval: 1.00, 2.06), as were paediatricians' judgements of a late arrival (18.9% of cases in 2020 vs. 13.4% in 2018-19; OR: 1.58; 1.14, 2.19) CONCLUSION: In a population-based cohort, delayed attendances to ED ascertained both subjectively and objectively convey the message to families and to paediatricians to seek hospital care in case of severe or unremitting symptoms and not to wait longer than they normally would.

Factors associated with self-perceived knowledge of COVID-19: a study among women from the NINFEA birth cohort.

BACKGROUND: health literacy may contribute to the strategies to control the Coronavirus disease 2019 (COVID-19), as individuals need to acquire promptly new health information, understand the reasons behind recommendations, and adapt their behaviour accordingly. OBJECTIVES: to investigate sociodemographic and disease-related factors that can influence self-perceived knowledge (poor/medium vs high) about COVID-19 in women of the Italian NINFEA birth cohort. DESIGN: cross-sectional study. SETTING AND PARTICIPANTS: a web-based anonymous survey on COVID-19 was sent in April 2020 to women participating in the NINFEA cohort. A total of 3,129 women were included in the study. MAIN OUTCOME MEASURES: using multiple weighted logistic regression models, self-perceived knowledge level was analysed in relation with the following variables: age, education level, family size, cumulative incidence of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) cases until 7 April 2020 by province, presence of COVID-19-like symptoms, SARS-CoV-2 testing, and COVID-19 diagnosis. RESULTS: the prevalence of self-perceived poor/medium knowledge was 57%. In multivariable logistic regression analyses, the odds ratio (OR) of self-perceived poor/medium COVID-19 knowledge level was increased for low/medium compared with high education level (OR 1.57; 95%CI 1.34-1.84), and decreased for SARS-CoV-2 testing (OR 0.25; 95%CI 0.16-0.39) and COVID-19 diagnosis (OR 0.20; 95%CI 0.07-0.60). There was no evidence of association between the other analysed variables and self-perceived knowledge level. CONCLUSIONS: the findings of this study suggest that low educational level is a determinant of low self-perceived knowledge on COVID-19 in middle-aged women.