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1.
authorea preprints; 2022.
Preprint in English | PREPRINT-AUTHOREA PREPRINTS | ID: ppzbmed-10.22541.au.165019325.55537521.v1

ABSTRACT

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. Logistic 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 extreme 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 (Odds Ratio: 0.90; 95% Confidence Interval, CI: 0.87, 0.93), late PTB (0.91; 0.87, 0.94), very PTB (0.87; 0.84, 0.91), and extreme PTB (0.88; 0.82, 0.94). 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.


Subject(s)
COVID-19 , Fetal Death , Premature Birth
2.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.04.13.20063545

ABSTRACT

Objectives. To describe the age- and sex-specific prevalence of SARS-CoV-2 disease (COVID-19) and its prognostic factors. Design. Population-based prospective cohort study on archive data. Setting. Preventive services and hospital care in the province of Reggio Emilia, Northern Italy. Participants. All 2653 symptomatic patients who tested positive for SARS-CoV-2 from February 27 to April 2, 2020 in the province of Reggio Emilia. Main outcome measures. Hospitalization and death up to April 2, 2020. Results. Females had higher prevalence of infection than males below age 50 (2.61 vs. 1.84 per 1000), but lower in older ages (16.49 vs. 20.86 per 1000 over age 80). Case fatality rate reached 20.7% (22/106) in cases with more than 4 weeks follow up. After adjusting for age and comorbidities, men had a higher risk of hospitalization (hazard ratio (HR) 1.4 95% confidence interval (95% CI) 1.2 to 1.6) and of death (HR 1.6, 95% CI 1.2 to 2.1). Patients over age 80 compared to < age 50 had HR 7.1 (95% CI 5.4 to 9.3) and HR 27.8 (95% CI 12.5 to 61.7) for hospitalization and death, respectively. Immigrants had a higher risk of hospitalization (HR 1.3, 95% CI 0.99 to 1.81) than Italians and a similar risk of death. Risk of hospitalization and of death were higher in patients with heart failure (HR 1.6, 95% CI 1.2 to 2.1and HR 2.3, 95% CI 1.6 to 3.2, respectively), arrhythmia (HR 1.5, 95% CI 1.2 to 1.9 and HR 1.8, 95% CI 1.3 to 2.5, respectively), dementia (HR 1.2, 95% CI 0.9 to 1.8 and HR 1.8, 95% CI 1.1 to 2.8, respectively), ischemic heart disease (HR 1.3, 95% CI 1.0 to 1.7 and HR 1.7, 95% CI 1.2 to 2.5, respectively), diabetes (HR 1.5, 95% CI 1.3 to 1.9 and HR 1.6, 95% CI 1.1 to 2.2, respectively), and hypertensions(HR 1.4, 95% CI 1.2 to 2.6 and HR 1.6, 95% CI 1.2 to 2.1, respectively), while COPD increased the risk of hospitalization (HR 1.9, 95% CI 1.4 to 2.5) but not of death (HR 1.1, 95% CI 0.7 to 1.7). Previous use of ACE inhibitors has no effect on risk of death (HR 0.97, 95% CI 0.69 to 1.34) Conclusions. The mechanisms underlying these associations are mostly unknown. A deeper understanding of the causal chain from infection, disease onset, and immune response to outcomes may explain how these prognostic factors act.


Subject(s)
Heart Failure , Dementia , Arrhythmias, Cardiac , Severe Acute Respiratory Syndrome , Diabetes Mellitus , Ischemia , Death , Hypertension , COVID-19 , Heart Diseases
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