Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy.
Identifieur interne : 000746 ( Main/Exploration ); précédent : 000745; suivant : 000747Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy.
Auteurs : A. De Vito [Oman] ; N. Geremia ; V. Fiore ; E. Princic ; S. Babudieri ; G. MadedduSource :
- European review for medical and pharmacological sciences [ 2284-0729 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Betacoronavirus (isolement et purification), Broncho-pneumopathie chronique obstructive (complications), Comorbidité (MeSH), Estimation de Kaplan-Meier (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Hospitalisation (statistiques et données numériques), Humains (MeSH), Infections à coronavirus (anatomopathologie), Infections à coronavirus (complications), Infections à coronavirus (mortalité), Infections à coronavirus (virologie), Italie (MeSH), Modèles des risques proportionnels (MeSH), Mâle (MeSH), Numération des lymphocytes (MeSH), Pandémies (MeSH), Pneumopathie virale (anatomopathologie), Pneumopathie virale (complications), Pneumopathie virale (mortalité), Pneumopathie virale (virologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Études rétrospectives (MeSH).
- MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale.
- isolement et purification : Betacoronavirus.
- mortalité : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Hospitalisation.
- virologie : Infections à coronavirus, Pneumopathie virale.
- Adulte d'âge moyen, Broncho-pneumopathie chronique obstructive, Comorbidité, Estimation de Kaplan-Meier, Facteurs de risque, Femelle, Humains, Infections à coronavirus, Italie, Modèles des risques proportionnels, Mâle, Numération des lymphocytes, Pandémies, Pneumopathie virale, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (isolation & purification), Comorbidity (MeSH), Coronavirus Infections (complications), Coronavirus Infections (mortality), Coronavirus Infections (pathology), Coronavirus Infections (virology), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Italy (MeSH), Kaplan-Meier Estimate (MeSH), Lymphocyte Count (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (mortality), Pneumonia, Viral (pathology), Pneumonia, Viral (virology), Proportional Hazards Models (MeSH), Pulmonary Disease, Chronic Obstructive (complications), Retrospective Studies (MeSH), Risk Factors (MeSH).
- MESH :
- geographic : Italy.
- complications : Coronavirus Infections, Pneumonia, Viral, Pulmonary Disease, Chronic Obstructive.
- isolation & purification : Betacoronavirus.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- pathology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Hospitalization.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Aged, Aged, 80 and over, Comorbidity, Female, Humans, Kaplan-Meier Estimate, Lymphocyte Count, Male, Middle Aged, Pandemics, Proportional Hazards Models, Retrospective Studies, Risk Factors.
Abstract
OBJECTIVE
Since December 2019, when the first SARS-CoV2 infections have been reported, the number of cases has increased exponentially. In our University Hospital Unit, the first patient with COVID-19 was admitted on the 8th of March 2020. We aimed to investigate the predictors of death among inpatients with COVID-19.
MATERIALS AND METHODS
We performed a retrospective, monocentric study, consecutively enrolling patients with SARS-CoV2 infection. Clinical, laboratory, and radiological data were collected from the 8th of March to the 8th of April 2020. We aimed to describe the most frequent clinical and laboratory features and predictors of death among patients admitted to our Unit.
RESULTS
87 patients were enrolled, 56 (64.4%) were male, with a median age of 72 (IQR 62.5-83.5) years. The majority of our population had at least one comorbidity in their medical anamnesis. Hypertension and cardiovascular disease were the most frequent, followed by obesity. Eighty (92%) patients had at least one symptom, whereas 7 (8%) were asymptomatic. The most common symptoms were fever and dyspnoea. Overall, 53 patients had lung disease confirmed at CT scan (60.9%). Twenty-five (28.7%) deaths occurred. Statistically significant predictors of death at multivariate analysis were lymphocytes count <900 cells/mm3, moderate ARDS, and lack of compliance at baseline.
CONCLUSIONS
This is the first Italian experience available. Our results seem to be in line with international literature. As highlighted by our data, more studies are needed to investigate the role of lymphocytes subsets, CT scan values. Furthermore, therapy choice and timing in this challenging setting should be urgently investigated in randomized clinical trials.
DOI: 10.26355/eurrev_202007_22291
PubMed: 32744714
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Princic</name></author><author><name sortKey="Babudieri, S" sort="Babudieri, S" uniqKey="Babudieri S" first="S" last="Babudieri">S. Babudieri</name></author><author><name sortKey="Madeddu, G" sort="Madeddu, G" uniqKey="Madeddu G" first="G" last="Madeddu">G. Madeddu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32744714</idno><idno type="pmid">32744714</idno><idno type="doi">10.26355/eurrev_202007_22291</idno><idno type="wicri:Area/Main/Corpus">000863</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000863</idno><idno type="wicri:Area/Main/Curation">000863</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000863</idno><idno type="wicri:Area/Main/Exploration">000863</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy.</title><author><name sortKey="De Vito, A" sort="De Vito, A" uniqKey="De Vito A" first="A" last="De Vito">A. De Vito</name><affiliation wicri:level="1"><nlm:affiliation>Unit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari. andreadevitoaho@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country></affiliation></author><author><name sortKey="Geremia, N" sort="Geremia, N" uniqKey="Geremia N" first="N" last="Geremia">N. Geremia</name></author><author><name sortKey="Fiore, V" sort="Fiore, V" uniqKey="Fiore V" first="V" last="Fiore">V. Fiore</name></author><author><name sortKey="Princic, E" sort="Princic, E" uniqKey="Princic E" first="E" last="Princic">E. Princic</name></author><author><name sortKey="Babudieri, S" sort="Babudieri, S" uniqKey="Babudieri S" first="S" last="Babudieri">S. Babudieri</name></author><author><name sortKey="Madeddu, G" sort="Madeddu, G" uniqKey="Madeddu G" first="G" last="Madeddu">G. Madeddu</name></author></analytic><series><title level="j">European review for medical and pharmacological sciences</title><idno type="eISSN">2284-0729</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (isolation & purification)</term><term>Comorbidity (MeSH)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (mortality)</term><term>Coronavirus Infections (pathology)</term><term>Coronavirus Infections (virology)</term><term>Female (MeSH)</term><term>Hospitalization (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Italy (MeSH)</term><term>Kaplan-Meier Estimate (MeSH)</term><term>Lymphocyte Count (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (mortality)</term><term>Pneumonia, Viral (pathology)</term><term>Pneumonia, Viral (virology)</term><term>Proportional Hazards Models (MeSH)</term><term>Pulmonary Disease, Chronic Obstructive (complications)</term><term>Retrospective Studies (MeSH)</term><term>Risk Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term><term>Betacoronavirus (isolement et purification)</term><term>Broncho-pneumopathie chronique obstructive (complications)</term><term>Comorbidité (MeSH)</term><term>Estimation de Kaplan-Meier (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>Hospitalisation (statistiques et données numériques)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (anatomopathologie)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (mortalité)</term><term>Infections à coronavirus (virologie)</term><term>Italie (MeSH)</term><term>Modèles des risques proportionnels (MeSH)</term><term>Mâle (MeSH)</term><term>Numération des lymphocytes (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (anatomopathologie)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (mortalité)</term><term>Pneumopathie virale (virologie)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Études rétrospectives (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Italy</term></keywords><keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Pulmonary Disease, Chronic Obstructive</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Hospitalisation</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Kaplan-Meier Estimate</term><term>Lymphocyte Count</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Proportional Hazards Models</term><term>Retrospective Studies</term><term>Risk Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Broncho-pneumopathie chronique obstructive</term><term>Comorbidité</term><term>Estimation de Kaplan-Meier</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Infections à coronavirus</term><term>Italie</term><term>Modèles des risques proportionnels</term><term>Mâle</term><term>Numération des lymphocytes</term><term>Pandémies</term><term>Pneumopathie virale</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études rétrospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Italie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>Since December 2019, when the first SARS-CoV2 infections have been reported, the number of cases has increased exponentially. In our University Hospital Unit, the first patient with COVID-19 was admitted on the 8th of March 2020. We aimed to investigate the predictors of death among inpatients with COVID-19.</p></div><div type="abstract" xml:lang="en"><p><b>MATERIALS AND METHODS</b></p><p>We performed a retrospective, monocentric study, consecutively enrolling patients with SARS-CoV2 infection. Clinical, laboratory, and radiological data were collected from the 8th of March to the 8th of April 2020. We aimed to describe the most frequent clinical and laboratory features and predictors of death among patients admitted to our Unit.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>87 patients were enrolled, 56 (64.4%) were male, with a median age of 72 (IQR 62.5-83.5) years. The majority of our population had at least one comorbidity in their medical anamnesis. Hypertension and cardiovascular disease were the most frequent, followed by obesity. Eighty (92%) patients had at least one symptom, whereas 7 (8%) were asymptomatic. The most common symptoms were fever and dyspnoea. Overall, 53 patients had lung disease confirmed at CT scan (60.9%). Twenty-five (28.7%) deaths occurred. Statistically significant predictors of death at multivariate analysis were lymphocytes count <900 cells/mm3, moderate ARDS, and lack of compliance at baseline.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>This is the first Italian experience available. Our results seem to be in line with international literature. As highlighted by our data, more studies are needed to investigate the role of lymphocytes subsets, CT scan values. Furthermore, therapy choice and timing in this challenging setting should be urgently investigated in randomized clinical trials.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32744714</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>19</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>19</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">2284-0729</ISSN><JournalIssue CitedMedium="Internet"><Volume>24</Volume><Issue>14</Issue><PubDate><Year>2020</Year><Month>07</Month></PubDate></JournalIssue><Title>European review for medical and pharmacological sciences</Title><ISOAbbreviation>Eur Rev Med Pharmacol Sci</ISOAbbreviation></Journal><ArticleTitle>Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy.</ArticleTitle><Pagination><MedlinePgn>7861-7868</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">22291</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.26355/eurrev_202007_22291</ELocationID><Abstract><AbstractText Label="OBJECTIVE">Since December 2019, when the first SARS-CoV2 infections have been reported, the number of cases has increased exponentially. In our University Hospital Unit, the first patient with COVID-19 was admitted on the 8th of March 2020. We aimed to investigate the predictors of death among inpatients with COVID-19.</AbstractText><AbstractText Label="MATERIALS AND METHODS">We performed a retrospective, monocentric study, consecutively enrolling patients with SARS-CoV2 infection. Clinical, laboratory, and radiological data were collected from the 8th of March to the 8th of April 2020. We aimed to describe the most frequent clinical and laboratory features and predictors of death among patients admitted to our Unit.</AbstractText><AbstractText Label="RESULTS">87 patients were enrolled, 56 (64.4%) were male, with a median age of 72 (IQR 62.5-83.5) years. The majority of our population had at least one comorbidity in their medical anamnesis. Hypertension and cardiovascular disease were the most frequent, followed by obesity. Eighty (92%) patients had at least one symptom, whereas 7 (8%) were asymptomatic. The most common symptoms were fever and dyspnoea. Overall, 53 patients had lung disease confirmed at CT scan (60.9%). Twenty-five (28.7%) deaths occurred. Statistically significant predictors of death at multivariate analysis were lymphocytes count <900 cells/mm3, moderate ARDS, and lack of compliance at baseline.</AbstractText><AbstractText Label="CONCLUSIONS">This is the first Italian experience available. Our results seem to be in line with international literature. As highlighted by our data, more studies are needed to investigate the role of lymphocytes subsets, CT scan values. 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Babudieri</name><name sortKey="Fiore, V" sort="Fiore, V" uniqKey="Fiore V" first="V" last="Fiore">V. Fiore</name><name sortKey="Geremia, N" sort="Geremia, N" uniqKey="Geremia N" first="N" last="Geremia">N. Geremia</name><name sortKey="Madeddu, G" sort="Madeddu, G" uniqKey="Madeddu G" first="G" last="Madeddu">G. Madeddu</name><name sortKey="Princic, E" sort="Princic, E" uniqKey="Princic E" first="E" last="Princic">E. Princic</name></noCountry><country name="Oman"><noRegion><name sortKey="De Vito, A" sort="De Vito, A" uniqKey="De Vito A" first="A" last="De Vito">A. De Vito</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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