Socioeconomic disparities in changes to preterm birth and stillbirth rates during the first year of the COVID-19 pandemic: a study of 21 European countries.

BACKGROUND: Despite concerns about worsening pregnancy outcomes resulting from healthcare restrictions, economic difficulties and increased stress during the COVID-19 pandemic, preterm birth (PTB) rates declined in some countries in 2020, while stillbirth rates appeared stable. Like other shocks, the pandemic may have exacerbated existing socioeconomic disparities in pregnancy, but this remains to be established. Our objective was to investigate changes in PTB and stillbirth by socioeconomic status (SES) in European countries. METHODS: The Euro-Peristat network implemented this study within the Population Health Information Research Infrastructure (PHIRI) project. A common data model was developed to collect aggregated tables from routine birth data for 2015-2020. SES was based on mother's educational level or area-level deprivation/maternal occupation if education was unavailable and harmonized into low, medium and high SES. Country-specific relative risks (RRs) of PTB and stillbirth for March to December 2020, adjusted for linear trends from 2015 to 2019, by SES group were pooled using random effects meta-analysis. RESULTS: Twenty-one countries provided data on perinatal outcomes by SES. PTB declined by an average 4% in 2020 {pooled RR: 0.96 [95% confidence intervals (CIs): 0.94-0.97]} with similar estimates across all SES groups. Stillbirths rose by 5% [RR: 1.05 (95% CI: 0.99-1.10)], with increases of between 3 and 6% across the three SES groups, with overlapping confidence limits. CONCLUSIONS: PTB decreases were similar regardless of SES group, while stillbirth rates rose without marked differences between groups.

Developing and testing a protocol using a common data model for federated collection and analysis of national perinatal health indicators in Europe.

Context: International comparisons of the health of mothers and babies provide essential benchmarks for guiding health practice and policy, but statistics are not routinely compiled in a comparable way. These data are especially critical during health emergencies, such as the coronavirus disease (COVID-19) pandemic. The Population Health Information Research Infrastructure (PHIRI) project aimed to promote the exchange of population data in Europe and included a Use Case on perinatal health. Objective: To develop and test a protocol for federated analysis of population birth data in Europe. Methods: The Euro-Peristat network with participants from 31 countries developed a Common Data Model (CDM) and R scripts to exchange and analyse aggregated data on perinatal indicators. Building on recommended Euro-Peristat indicators, complemented by a three-round consensus process, the network specified variables for a CDM and common outputs. The protocol was tested using routine birth data for 2015 to 2020; a survey was conducted assessing data provider experiences and opinions. Results: The CDM included 17 core data items for the testing phase and 18 for a future expanded phase. 28 countries and the four UK nations created individual person-level databases and ran R scripts to produce anonymous aggregate tables. Seven had all core items, 17 had 13-16, while eight had ≤12. Limitations were not having all items in the same database, required for this protocol. Infant death and mode of birth were most frequently missing. Countries took from under a day to several weeks to set up the CDM, after which the protocol was easy and quick to use. Conclusion: This open-source protocol enables rapid production and analysis of perinatal indicators and constitutes a roadmap for a sustainable European information system. It also provides minimum standards for improving national data systems and can be used in other countries to facilitate comparison of perinatal indicators.

Prevalence of somatic comorbidities among coronavirus disease 2019 patients in Croatia in the first pandemic wave: data from national public health databases.

AIM: To determine the prevalence of common somatic comorbidities among coronavirus disease 2019 (COVID-19) positive patients in Croatia in the first pandemic wave, and assess the differences in clinical outcomes depending on the presence of comorbidities. METHODS: We analyzed data from patients confirmed to be SARS-CoV-2-positive from February through May 2020. The data were obtained from clinical laboratories, primary health care providers, and hospitals. Previously recorded comorbidities, including diabetes, cancer, circulatory diseases, chronic pulmonary, and kidney disease, were analyzed. RESULTS: Among 2249 patients, 46.0% were men (median age 51 years; median disease duration 27 days). Hospitalization was required for 41.8% patients, mechanical ventilation for 2.5%, while 4.7% of all patients died. Patients who died were significantly older (median 82 vs 50 years, P<0.001) with a higher prevalence of all investigated comorbidities (all p's <0.001), more frequently required mechanical ventilation (34% vs 1%, P<0.001), and had shorter length of hospital stay (median 13 vs 27 days, P<0.001) with no sex preponderance. Patients requiring mechanical ventilation were significantly older (median age 70 vs 51 years, P<0.001), more frequently men (59.6% vs 45.7%, P=0.037), showed a higher prevalence of all comorbidities except ischemic heart and chronic kidney disease (all p's <0.001), and demonstrated a higher case-fatality rate (63.2% vs 3.2%, P<0.001). CONCLUSION: COVID-19 patients who died in the first pandemic wave in Croatia were more likely to suffer previous somatic comorbidities. This corroborates the findings of similar studies and calls for further research into the underlying disease mechanisms, hence providing ground for more efficient preventive measures.

The prevalence of muscular dystrophy and spinal muscular atrophy in Croatia: data from national and non-governmental organization registries.

AIM: To determine the prevalence of muscular dystrophy (MD) and spinal muscular atrophy (SMA) in Croatia by use of multiple epidemiological tools. METHODS: This epidemiological study collected data from three national patient registries and one database of a non-governmental organization (NGO) of MD and SMA patients. The study involved all individuals who either had undergone hospital treatment for MD or SMA, had consulted their primary health care providers for MD- and SMA-related symptoms, were listed as disabled due to MD or SMA, or were members of the mentioned NGO in 2016. In order to prevent double entries, we created a new database of all living individuals, each with a unique identification number. The prevalence rates for 2016 were calculated by age and sex groups. RESULTS: There were 926 patients diagnosed with MD (544 men). Most men diagnosed with MD were in the age group 10-19, whereas most women were in the age group 50-59. MD prevalence in Croatia was 22.2 per 100000 population. There were 392 patients diagnosed with SMA (198 men). Most men with SMA were in the age group 50-59, whereas most women were in the age group 60-69. SMA prevalence in Croatia was 9.3 per 100000 population. CONCLUSION: SMA prevalence rate in Croatia is similar to SMA prevalence worldwide. However, MD prevalence rate is higher than worldwide estimates. This difference could be attributed to the fact that we could not confirm whether every patient registered in these databases actually met the diagnostic criteria for MD and SMA.

Prevalence of multiple sclerosis in Croatia: data from national and non-governmental organization registries.

AIM: To update the estimate of multiple sclerosis (MS) prevalence in Croatia using multiple epidemiological tools. METHODS: This level IV, epidemiological study gathered data from three national patient registries and one database of a non-governmental MS patients' organization. Data were extracted on all individuals who had undergone hospital MS treatment, consulted their primary health care providers about MS-related symptoms, been listed as having MS-related disability, or been members of the mentioned non-governmental organization in 2015. A new database was formed, in which all living individuals were identified using a common identification number to prevent double entries. The prevalence rates in 2015 were calculated by age and sex groups. RESULTS: In total, 6160 patients diagnosed with MS were identified (72% women). Most women with MS were 50-59 years old and most men were 40-49 years old. The overall MS prevalence rate was 143.8 per 100 000 population. CONCLUSION: The calculated MS prevalence rate in Croatia in 2015 was more than twice as high as the estimate from 2013. This difference warrants further research into MS epidemiology in Croatia and calls for a rational allocation of funds and human resources to provide adequate care and support to MS patients.