Publications by authors named "Martina Recalde"

Background: Metabolic syndrome (MS) has emerged as a significant global health concern. The relationship between MS and the risk of cancer doesn't seem clear, whether examining by components or in combination. The objective of this study is to examine the relationship between MS, its components, and the overall risk of cancer, including the risk of 13 specific cancer types.

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Background: Whether cancer risk associated with a higher body mass index (BMI), a surrogate measure of adiposity, differs among adults with and without cardiovascular diseases (CVD) and/or type 2 diabetes (T2D) is unclear. The primary aim of this study was to evaluate separate and joint associations of BMI and CVD/T2D with the risk of cancer.

Methods: This is an individual participant data meta-analysis of two prospective cohort studies, the UK Biobank (UKB) and the European Prospective Investigation into Cancer and nutrition (EPIC), with a total of 577,343 adults, free of cancer, T2D, and CVD at recruitment.

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Background: We investigated the association between body mass index (BMI) and obesity-related cancer risk among individuals with/without incident hypertension (HTN), type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) and the joint associations of overweight/obesity (BMI ≥25 kg/m ) and each cardiometabolic condition with obesity-related cancer risk METHODS: We conducted a population-based cohort (n = 1,774,904 individuals aged ≥40 years and free of cancer and cardiometabolic conditions at baseline) study between 2010 and 2018 with electronic health records from Spain. Our main outcome measures were hazard ratios (HRs) for incident obesity-related cancers and relative excess risk due to interaction (RERI).

Results: A total of 38,082 individuals developed obesity-related cancers after a median of 8 years of follow-up.

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Article Synopsis
  • The study aimed to convert the SIDIAP data system in Catalonia, Spain, to the OMOP Common Data Model and analyze COVID-19 outcomes in the general population.
  • Researchers mapped patient-level data and conducted over 3,400 quality checks, creating a cohort of individuals from March 2020 to June 2022 to assess COVID-19 diagnoses, hospitalizations, ICU admissions, deaths, and vaccinations.
  • The transformed database included 5.9 million individuals, revealing insights about COVID-19 demographics and outcomes, making it a valuable resource for future research in the area.
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Single body mass index (BMI) measurements have been associated with increased risk of 13 cancers. Whether life course adiposity-related exposures are more relevant cancer risk factors than baseline BMI (ie, at start of follow-up for disease outcome) remains unclear. We conducted a cohort study from 2009 until 2018 with population-based electronic health records in Catalonia, Spain.

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Objective: We aimed to estimate how longitudinal trends in cardiovascular disease, hypertension and type 2 diabetes mellitus incidence in Catalonia, Spain from 2009 to 2018 may differ by age, sex and socioeconomic deprivation.

Design: Cohort study using prospectively collected data.

Setting: Electronic health records from primary healthcare centres in Catalonia, Spain.

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Background: The association between air pollution and green spaces with breast cancer risk stratified by menopausal status has not been frequently investigated despite its importance given the different impact of risk factors on breast cancer risk depending on menopausal status.

Objectives: To study the association between air pollution, green spaces and pre and postmenopausal breast cancer risk.

Methods: We conducted a population-based cohort study using electronic primary care records in Catalonia.

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  • The study emphasizes the importance of real world data (RWD) for understanding and responding to the COVID-19 pandemic using a standardized approach through the CHARYBDIS framework.
  • Researchers conducted a retrospective database study across multiple countries, including the US and parts of Europe and Asia, involving over 4.5 million individuals and focusing on their clinical characteristics and outcomes.
  • Findings reveal higher diagnoses among women but more hospitalizations among men, common comorbidities like diabetes and heart disease, and key symptoms such as cough and fever; this data helps to identify trends in COVID-19 across different populations and time periods.
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Background: Metabolic syndrome (MS) is the simultaneous occurrence of a cluster of predefined cardiovascular risk factors. Although individual MS components are associated with increased risk of cancer, it is still unclear whether the association between MS and cancer differs from the association between individual MS components and cancer. The aim of this matched case-control study was to estimate the association of 13 types of cancer with (1) MS and (2) the diagnosis of 0, 1 or 2 individual MS components.

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  • A study analyzed clinical characteristics of COVID-19 patients with asthma using data from nine international databases from January to June 2020.
  • Among the diagnosed cohort of 666,933, asthma prevalence ranged from 6.2% to 18.5%, and in the hospitalized cohort of 159,552, it ranged from 5.2% to 20.5%.
  • The study found that asthma patients had high rates of comorbidities, with mortality rates similar to those without asthma, while asthma exacerbation at presentation was relatively low.
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Objective: To characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients.

Design And Setting: This is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020.

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The relationship between cancer and coronavirus disease 2019 (COVID-19) infection and severity remains poorly understood. We conducted a population-based cohort study between 1 March and 6 May 2020 describing the associations between cancer and risk of COVID-19 diagnosis, hospitalisation and COVID-19-related death. Data were obtained from the Information System for Research in Primary Care (SIDIAP) database, including primary care electronic health records from ~80% of the population in Catalonia, Spain.

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Context: A comprehensive understanding of the association between body mass index (BMI) and coronavirus disease 2019 (COVID-19) is still lacking.

Objective: To investigate associations between BMI and risk of COVID-19 diagnosis, hospitalization with COVID-19, and death after a COVID-19 diagnosis or hospitalization (subsequent death), accounting for potential effect modification by age and sex.

Design: Population-based cohort study.

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  • The study analyzed the demographics, cancer types, comorbidities, and outcomes of patients with a history of cancer who contracted COVID-19, comparing them to those hospitalized with influenza.
  • A total of 366,050 diagnosed patients and 119,597 hospitalized patients with COVID-19 were included, with prostate and breast cancers being the most common among the diagnosed cohort, and many patients over 65 years old having multiple health issues.
  • The findings revealed a significant occurrence of COVID-19-related deaths among cancer patients, with a range of 2% to 26% depending on hospitalization status, highlighting the need for tailored clinical care for this high-risk group.
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  • - The study aimed to compare the demographics, medical conditions, and outcomes of COVID-19 patients with obesity to those without obesity, based on data from Spain, the UK, and the US from early 2020.
  • - A total of over 600,000 diagnosed and over 160,000 hospitalized COVID-19 patients were analyzed, revealing a higher prevalence of obesity among hospitalized patients and noted that women were more frequently represented in the PLWO group.
  • - Results indicated that patients living with obesity (PLWO) had more prior medical conditions, experienced more severe COVID-19 symptoms, and required greater hospital resources compared to those without obesity, highlighting the need for tailored preventive measures.
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Objectives: To characterize the demographics, comorbidities, symptoms, in-hospital treatments, and health outcomes among children and adolescents diagnosed or hospitalized with coronavirus disease 2019 (COVID-19) and to compare them in secondary analyses with patients diagnosed with previous seasonal influenza in 2017-2018.

Methods: International network cohort using real-world data from European primary care records (France, Germany, and Spain), South Korean claims and US claims, and hospital databases. We included children and adolescents diagnosed and/or hospitalized with COVID-19 at age <18 between January and June 2020.

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  • The study aimed to explore the use of repurposed and supporting drugs in COVID-19 patients hospitalized across the US, Spain, China, and South Korea during 2020.
  • A total of 303,264 hospital patients were analyzed, with significant variation in drug prescriptions between countries; hydroxychloroquine had a dramatic increase in use in Spain but was virtually unused in China.
  • Findings showed that alongside repurposed drugs, adjunct treatments like enoxaparin, fluoroquinolones, and corticosteroids were commonly administered, highlighting the need for further research on their effectiveness and safety.
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  • The study aimed to assess the 30-day outcomes and mortality of patients with autoimmune diseases hospitalized due to COVID-19, comparing them to similar hospital patients with seasonal influenza.
  • Researchers analyzed data from multiple health institutions and found that most patients were older females with significant comorbidities.
  • Results indicated that COVID-19 led to more respiratory complications and higher mortality rates (up to 24.6%) compared to influenza (up to 4.3%).
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Article Synopsis
  • Routinely collected real-world data (RWD) is essential for understanding and responding to the COVID-19 pandemic, as demonstrated by the CHARYBDIS framework for standardizing and analyzing this data.
  • A descriptive cohort study involving over 4.5 million individuals was conducted across the U.S., Europe, and Asia to examine COVID-19-related health risks and outcomes, with detailed information available on an interactive website.
  • The findings from the CHARYBDIS study serve as benchmarks to enhance our knowledge of COVID-19's progression and management, facilitating timely evaluations of new preventative and therapeutic strategies.
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The natural history of coronavirus disease 2019 (COVID-19) has yet to be fully described. Here, we use patient-level data from the Information System for Research in Primary Care (SIDIAP) to summarise COVID-19 outcomes in Catalonia, Spain. We included 5,586,521 individuals from the general population.

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Background: A high body mass index (BMI) has been associated with increased risk of several cancers; however, whether BMI is related to a larger number of cancers than currently recognized is unclear. Moreover, whether waist circumference (WC) is more strongly associated with specific cancers than BMI is not well established. We aimed to investigate the associations between BMI and 26 cancers accounting for non-linearity and residual confounding by smoking status as well as to compare cancer risk estimates between BMI and WC.

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  • This study aimed to determine how many COVID-19 patients hospitalized in the U.S. needed procedures like dialysis, tracheostomy, and ECMO.
  • It analyzed data from 842,928 hospitalized COVID-19 patients, revealing that about 4.17% received dialysis, while less than 1% had tracheostomy or ECMO interventions.
  • Findings showed that ECMO was more frequently used in younger males with fewer health issues, while tracheostomy rates were similar across demographics, and dialysis was more common in males and those with chronic kidney disease.
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  • The study aimed to analyze the demographics, comorbidities, symptoms, treatments, and outcomes of children and adolescents diagnosed or hospitalized with COVID-19, comparing these to those diagnosed with seasonal influenza.
  • Utilizing real-world data from multiple countries including France, Germany, Spain, South Korea, and the US, the research included over 55,000 children with COVID-19 and nearly 2 million with influenza between specified periods.
  • Key findings indicate that comorbidities were more prevalent in hospitalized COVID-19 cases, fever was the most common symptom, and while hospitalization rates were low, complications like pneumonia and multi-system inflammatory syndrome were significantly more common in COVID-19 cases compared to influenza.
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Article Synopsis
  • - Early identification of COVID-19 symptoms and related health conditions is crucial for managing the pandemic and improving healthcare responses, as shown by analysis of over 3 million tested individuals across various countries.
  • - The majority of COVID-positive participants were women aged 18-65, with symptoms like fever, cough, and difficulty breathing being the most common; hospitalization rates varied from 4% to 38%, with mortality rates ranging from 1% to 10.5% within a month of testing positive.
  • - Significant geographic and temporal differences in testing ratios and healthcare outcomes highlight the need for comprehensive international data analysis to better inform public health strategies and resource allocation, especially as countries prepare for potential future waves of the virus.
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