Characteristics and outcomes of a cohort of COVID-19 patients in the Province of Reggio Emilia, Italy.
Identifieur interne : 000466 ( Main/Curation ); précédent : 000465; suivant : 000467Characteristics and outcomes of a cohort of COVID-19 patients in the Province of Reggio Emilia, Italy.
Auteurs : Paolo Giorgi Rossi [Italie] ; Massimiliano Marino [Italie] ; Debora Formisano [Italie] ; Francesco Venturelli [Italie] ; Massimo Vicentini [Italie] ; Roberto Grilli [Italie]Source :
- PloS one [ 1932-6203 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Comorbidité (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Hospitalisation (statistiques et données numériques), Humains (MeSH), Incidence (MeSH), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Italie (épidémiologie), Modèles des risques proportionnels (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Répartition par sexe (MeSH), Répartition par âge (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Émigrants et immigrants (statistiques et données numériques), Études prospectives (MeSH).
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Hospitalisation, Émigrants et immigrants.
- épidémiologie : Infections à coronavirus, Italie, Pneumopathie virale.
- Adulte d'âge moyen, Betacoronavirus, Comorbidité, Facteurs de risque, Femelle, Humains, Incidence, Modèles des risques proportionnels, Mâle, Pandémies, Répartition par sexe, Répartition par âge, Sujet âgé, Sujet âgé de 80 ans ou plus, Études prospectives.
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- Age Distribution (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Comorbidity (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Emigrants and Immigrants (statistics & numerical data), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Incidence (MeSH), Italy (epidemiology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality), Proportional Hazards Models (MeSH), Prospective Studies (MeSH), Risk Factors (MeSH), Sex Distribution (MeSH).
- MESH :
- geographic , epidemiology : Italy.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Emigrants and Immigrants, Hospitalization.
- Age Distribution, Aged, Aged, 80 and over, Betacoronavirus, Comorbidity, Female, Humans, Incidence, Male, Middle Aged, Pandemics, Proportional Hazards Models, Prospective Studies, Risk Factors, Sex Distribution.
Abstract
This is a population-based prospective cohort study on archive data describing the age- and sex-specific prevalence of COVID-19 and its prognostic factors. All 2653 symptomatic patients tested positive for SARS-CoV-2 from February 27 to April 2, 2020 in the Reggio Emilia province, Italy, were included. COVID-19 cumulative incidence, hospitalization and death rates, and adjusted hazard ratios (HR) with 95% confidence interval (95% CI) were calculated according to sociodemographic and clinical characteristics. Females had higher prevalence of infection than males below age 50 (2.61 vs. 1.84 ‰), but lower in older ages (16.49 vs. 20.86 ‰ over age 80). Case fatality rate reached 20.7% in cases with more than 4 weeks follow up. After adjusting for age and comorbidities, men had a higher risk of hospitalization (HR 1.4 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, arrhythmia, dementia, coronary heart disease, diabetes, and hypertension, 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 had no effect on risk of death (HR 0.97, 95% CI 0.69 to 1.34). Identified susceptible populations and fragile patients should be considered when setting priorities in public health planning and clinical decision making.
DOI: 10.1371/journal.pone.0238281
PubMed: 32853230
PubMed Central: PMC7451640
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pubmed:32853230Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Distribution (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Comorbidity (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (mortality)</term>
<term>Emigrants and Immigrants (statistics & numerical data)</term>
<term>Female (MeSH)</term>
<term>Hospitalization (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Italy (epidemiology)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (mortality)</term>
<term>Proportional Hazards Models (MeSH)</term>
<term>Prospective Studies (MeSH)</term>
<term>Risk Factors (MeSH)</term>
<term>Sex Distribution (MeSH)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Comorbidité (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Hospitalisation (statistiques et données numériques)</term>
<term>Humains (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Infections à coronavirus (mortalité)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Italie (épidémiologie)</term>
<term>Modèles des risques proportionnels (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (mortalité)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Répartition par sexe (MeSH)</term>
<term>Répartition par âge (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Émigrants et immigrants (statistiques et données numériques)</term>
<term>Études prospectives (MeSH)</term>
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<term>Hospitalization</term>
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<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>Comorbidity</term>
<term>Female</term>
<term>Humans</term>
<term>Incidence</term>
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<front><div type="abstract" xml:lang="en">This is a population-based prospective cohort study on archive data describing the age- and sex-specific prevalence of COVID-19 and its prognostic factors. All 2653 symptomatic patients tested positive for SARS-CoV-2 from February 27 to April 2, 2020 in the Reggio Emilia province, Italy, were included. COVID-19 cumulative incidence, hospitalization and death rates, and adjusted hazard ratios (HR) with 95% confidence interval (95% CI) were calculated according to sociodemographic and clinical characteristics. Females had higher prevalence of infection than males below age 50 (2.61 vs. 1.84 ‰), but lower in older ages (16.49 vs. 20.86 ‰ over age 80). Case fatality rate reached 20.7% in cases with more than 4 weeks follow up. After adjusting for age and comorbidities, men had a higher risk of hospitalization (HR 1.4 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, arrhythmia, dementia, coronary heart disease, diabetes, and hypertension, 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 had no effect on risk of death (HR 0.97, 95% CI 0.69 to 1.34). Identified susceptible populations and fragile patients should be considered when setting priorities in public health planning and clinical decision making.</div>
</front>
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<DateCompleted><Year>2020</Year>
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<Abstract><AbstractText>This is a population-based prospective cohort study on archive data describing the age- and sex-specific prevalence of COVID-19 and its prognostic factors. All 2653 symptomatic patients tested positive for SARS-CoV-2 from February 27 to April 2, 2020 in the Reggio Emilia province, Italy, were included. COVID-19 cumulative incidence, hospitalization and death rates, and adjusted hazard ratios (HR) with 95% confidence interval (95% CI) were calculated according to sociodemographic and clinical characteristics. Females had higher prevalence of infection than males below age 50 (2.61 vs. 1.84 ‰), but lower in older ages (16.49 vs. 20.86 ‰ over age 80). Case fatality rate reached 20.7% in cases with more than 4 weeks follow up. After adjusting for age and comorbidities, men had a higher risk of hospitalization (HR 1.4 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, arrhythmia, dementia, coronary heart disease, diabetes, and hypertension, 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 had no effect on risk of death (HR 0.97, 95% CI 0.69 to 1.34). Identified susceptible populations and fragile patients should be considered when setting priorities in public health planning and clinical decision making.</AbstractText>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Giorgi Rossi</LastName>
<ForeName>Paolo</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
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<ForeName>Massimiliano</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Governance, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Formisano</LastName>
<ForeName>Debora</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Governance, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Venturelli</LastName>
<ForeName>Francesco</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">0000-0002-9190-8668</Identifier>
<AffiliationInfo><Affiliation>Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Vicentini</LastName>
<ForeName>Massimo</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Grilli</LastName>
<ForeName>Roberto</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Governance, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><CollectiveName>Reggio Emilia COVID-19 Working Group</CollectiveName>
</Author>
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<Language>eng</Language>
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<Month>08</Month>
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<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
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