Browsing by Author "Elias, Cecília"
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- Monthly analysis of infant mortality rate in Portugal during the COVID-19 pandemic: insights from continuous monitoringPublication . Nogueira, Paulo Jorge; Camarinha, Catarina; Feteira-Santos, Rodrigo; Costa, Andreia Silva; De-Araújo-Nobre, Miguel; Bacelar-Nicolau, Leonor; Furtado, Cristina; Elias, CecíliaIntroduction: The COVID-19 pandemic significantly impacted global public health. Infant mortality rate (IMR), a vital statistic and key indicator of a population’s overall health, is essential for developing effective health prevention programs. Existing evidence primarily indicates a decrease in IMR during the COVID-19 pandemic. We conducted a national-level analysis to calculate IMR and describe its course over the years (from 2016 until 2022), using a month-by-month analysis. Methods: Data on the number of deaths under one year of age was collected from the Portuguese E-Death Certification System (SICO), and data on the number of monthly live births was obtained from Statistics Portugal. The IMR was calculated per month, considering the previous 12 months’ cumulative number of deaths under one year of age and the number of live births. Results: In Portugal, the IMR decreased before and during the COVID-19 pandemic. The lowest values were observed in September and October 2021 (2.15 and 2.14 per 1000 live births, respectively). The IMR remained below the threshold of three deaths per 1000 live births during the pandemic’s critical period. Conclusion: Portugal has achieved remarkable progress in reducing its IMR over the last 60 years. The country recorded its lowest-ever IMR values during the COVID-19 pandemic. Further studies are needed to fully understand the observed trends.
- Multimorbidity profile of COVID-19 deaths in Portugal during 2020Publication . Nogueira, Paulo Jorge; Nobre, Miguel de Araújo; Elias, Cecília; Feteira-Santos, Rodrigo; Martinho, António C. V.; Camarinha, Catarina; Bacelar-Nicolau, Leonor; Costa, Andreia Silva; Furtado, Cristina; Morais, Liliane; Rachadell, Juan; Pinto, Mário Pereira; Pinto, Fausto; Carneiro, António VazBackground: COVID-19 is caused by SARS-CoV-2 infection and has reached pandemic proportions. Since then, several clinical characteristics have been associated with poor outcomes. This study aimed to describe the morbidity profile of COVID-19 deaths in Portugal. Methods: A study was performed including deaths certificated in Portugal with “COVID-19” (ICD-10: U07.1 or U07.2) coded as the underlying cause of death from the National e-Death Certificates Information System between 16 March and 31 December 2020. Comorbidities were derived from ICD-10 codes using the Charlson and Elixhauser indexes. The resident Portuguese population estimates for 2020 were used. Results: The study included 6701 deaths (death rate: 65.1 deaths/100,000 inhabitants), predominantly males (72.1). The male-to-female mortality ratio was 1.1. The male-to-female mortality rate ratio was 1.2; however, within age groups, it varied 5.0–11.4-fold. COVID-19 deaths in Portugal during 2020 occurred mainly in individuals aged 80 years or older, predominantly in public healthcare institutions. Uncomplicated hypertension, uncomplicated diabetes mellitus, congestive heart failure, renal failure, cardiac arrhythmias, dementia, and cerebrovascular disease were observed among COVID-19 deceased patients, with prevalences higher than 10%. A high prevalence of zero morbidities was registered using both the Elixhauser and Charlson comorbidities lists (above 40.2%). Nevertheless, high multimorbidity was also identified at the time of COVID-19 death (about 36.5%). Higher multimorbidity levels were observed in men, increasing with age up to 80 years old. Zero-morbidity prevalence and high multimorbidity prevalences varied throughout the year 2020, seemingly more elevated in the mortality waves’ peaks, suggesting variation according to the degree of disease incidence at a given period. Conclusions: This study provides detailed sociodemographic and clinical information on all certificated deaths from COVID-19 in Portugal during 2020, showing complex and extreme levels of morbidity (zero-morbidity vs. high multimorbidity) dynamics during the first year of the pandemic in Portugal.
- Trends in delivery hospitalizations and the impact of ICD-9-CM to ICD-10-CM-PCS transition in Portugal between 2010 and 2018Publication . Camarinha, Catarina de Paraíso; Oliveira, Maria Miguel Gomes; Elias, Cecília; Nobre, Miguel de Araújo; Nicolau, Leonor Bacelar Costa; Furtado, Cristina; Costa, Andreia Silva da; Nogueira, Paulo Jorge da SilvaBackground: Hospital discharge data are essential for maternal health surveillance, clinical research, and healthcare resource allocation. In 2017, Portuguese hospitals transitioned from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to the International Classification of Diseases, 10th edition, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS), impacting the recording of delivery hospitalizations. This study examines trends in delivery hospitalizations from 2010 to 2018 and assesses the impact of the ICD-10-CM/PCS transition. Methods: We conducted a register-based observational cross-sectional analysis using data from the National Hospital Discharge Database, covering delivery hospitalizations in public hospitals from January 1, 2010, to December 31, 2018. Delivery episodes were identified using diagnosis codes, normal delivery codes, diagnosis-related group (DRG) codes, and procedure codes. Statistical analyses included descriptive statistics, interrupted time series with segmented regression, and Prophet forecasting models to evaluate trends and the impact of the coding transition. Results: A total of 673,978 delivery hospitalizations were recorded. The transition from ICD-9-CM to ICD-10-CM/PCS in 2017 had minimal overall impact on delivery trends. DRG codes consistently identified the majority of delivery episodes, with outcome of delivery codes and selected procedure codes showing varying trends. An increase in episodes identified by normal delivery codes and a significant decrease in episodes identified by procedure codes was observed immediately after the ICD-10 transition (p < 0.001). The Prophet model indicated improved forecast accuracy for procedure codes when including the ICD-10 transition variable. Conclusion: The transition to ICD-10-CM/PCS had a limited impact on overall delivery hospitalization trends but significantly affected procedure coding. These findings underscore the importance of considering coding system changes in healthcare data analyses. Further research should incorporate private hospital data and continuously monitor coding practices to ensure reliable health data for research and policy-making.