Clinical, Radiological Features and Outcome of COVID-19 patients in a Secondary Hospital in Jakarta, Indonesia.
Identifieur interne : 000739 ( Main/Exploration ); précédent : 000738; suivant : 000740Clinical, Radiological Features and Outcome of COVID-19 patients in a Secondary Hospital in Jakarta, Indonesia.
Auteurs : Muhammad Hafiz [Indonésie] ; Aziza Ghanie Icksan [Indonésie] ; Annisa Dian Harlivasari [Indonésie] ; Rizky Aulia [Indonésie] ; Febrina Susanti [Indonésie] ; Lourisa Eldinia [Indonésie]Source :
- Journal of infection in developing countries [ 1972-2680 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Centres de soins secondaires (statistiques et données numériques), Comorbidité (MeSH), Diabète (épidémiologie), Femelle (MeSH), Humains (MeSH), Hypertension artérielle (épidémiologie), Indonésie (épidémiologie), Infections à coronavirus (diagnostic), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (thérapie), Infections à coronavirus (épidémiologie), Infections à coronavirus (étiologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (thérapie), Pneumopathie virale (épidémiologie), Pneumopathie virale (étiologie), Radiographie thoracique (MeSH), Rayons X (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (MeSH), Électrocardiographie (MeSH).
- MESH :
- diagnostic : Infections à coronavirus.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Centres de soins secondaires.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Diabète, Hypertension artérielle, Indonésie, Infections à coronavirus, Pneumopathie virale.
- étiologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Comorbidité, Femelle, Humains, Mâle, Pandémies, Radiographie thoracique, Rayons X, Sujet âgé, Techniques de laboratoire clinique, Électrocardiographie.
- Wicri :
- geographic : Indonésie.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Clinical Laboratory Techniques (MeSH), Comorbidity (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (epidemiology), Coronavirus Infections (etiology), Coronavirus Infections (therapy), Diabetes Mellitus (epidemiology), Electrocardiography (MeSH), Female (MeSH), Humans (MeSH), Hypertension (epidemiology), Indonesia (epidemiology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (epidemiology), Pneumonia, Viral (etiology), Pneumonia, Viral (therapy), Radiography, Thoracic (MeSH), Secondary Care Centers (statistics & numerical data), X-Rays (MeSH).
- MESH :
- geographic , epidemiology : Indonesia.
- diagnosis : Coronavirus Infections.
- diagnostic imaging : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral.
- etiology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Secondary Care Centers.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Betacoronavirus, Clinical Laboratory Techniques, Comorbidity, Electrocardiography, Female, Humans, Male, Middle Aged, Pandemics, Radiography, Thoracic, X-Rays.
Abstract
INTRODUCTION
The numbers of people infected with SARS-CoV-2 in Indonesia especially in Jakarta as the epicenter continue to rise. Limited published clinical data, scarcity and long turn over time of diagnostic testing put clinician in dilemma to make diagnosis.
METHODOLOGY
This is an observational case series study from confirmed COVID-19 patient in our hospital from first case admission on 17 March 30 April, 2020. We collected patient's demography, symptoms, comorbidities, therapy, laboratory, chest x-ray and ECG consecutively.
RESULTS
Between 17 March 2020 and 30 April 2020, there were 30 confirmed COVID-19 cases, 16 (53.3%) were male. Clinical symptoms were dyspnea in 22 (73.3%) and dry cough 16 (53.3%). Comorbidities were diabetes in 14 (46.6%), hypertension 10 (33.3%) and Coronary Artery Disease (CAD) in 10 (33.3%) patients respectively. Laboratory findings showed lymphopenia in 21 (70%) patients, increased inflammation marker in Erythrocyte Sedimentation Rate (ESR), C-Reactive Protein (CRP) and Lactate Dehydrogenase (LDH) 21 (70%), 23 (76.6%) and 12 (40%) patients respectively. Twenty-seven (90%) cases had abnormal Chest X-Ray (CXR) and mostly severe 18 (60%). Descriptive finding for images included consolidation 16 (53.3%) and Ground Glass Opacities (GGO) in 10 (33.3%) patients.
CONCLUSIONS
Based on our findings, most cases of COVID-19 admitted in secondary referral hospital were already in moderate to severe stages. This is most likely due to late referral from primary care and unspecific clinical features resemblance of other infectious diseases. Inflammation marker and CXR are cost effective findings and can be used as marker to determine further referral.
DOI: 10.3855/jidc.12911
PubMed: 32794466
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Limited published clinical data, scarcity and long turn over time of diagnostic testing put clinician in dilemma to make diagnosis.</p></div><div type="abstract" xml:lang="en"><p><b>METHODOLOGY</b></p><p>This is an observational case series study from confirmed COVID-19 patient in our hospital from first case admission on 17 March 30 April, 2020. We collected patient's demography, symptoms, comorbidities, therapy, laboratory, chest x-ray and ECG consecutively.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Between 17 March 2020 and 30 April 2020, there were 30 confirmed COVID-19 cases, 16 (53.3%) were male. Clinical symptoms were dyspnea in 22 (73.3%) and dry cough 16 (53.3%). Comorbidities were diabetes in 14 (46.6%), hypertension 10 (33.3%) and Coronary Artery Disease (CAD) in 10 (33.3%) patients respectively. Laboratory findings showed lymphopenia in 21 (70%) patients, increased inflammation marker in Erythrocyte Sedimentation Rate (ESR), C-Reactive Protein (CRP) and Lactate Dehydrogenase (LDH) 21 (70%), 23 (76.6%) and 12 (40%) patients respectively. Twenty-seven (90%) cases had abnormal Chest X-Ray (CXR) and mostly severe 18 (60%). Descriptive finding for images included consolidation 16 (53.3%) and Ground Glass Opacities (GGO) in 10 (33.3%) patients.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Based on our findings, most cases of COVID-19 admitted in secondary referral hospital were already in moderate to severe stages. This is most likely due to late referral from primary care and unspecific clinical features resemblance of other infectious diseases. Inflammation marker and CXR are cost effective findings and can be used as marker to determine further referral.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32794466</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1972-2680</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>7</Issue><PubDate><Year>2020</Year><Month>Jul</Month><Day>31</Day></PubDate></JournalIssue><Title>Journal of infection in developing countries</Title><ISOAbbreviation>J Infect Dev Ctries</ISOAbbreviation></Journal><ArticleTitle>Clinical, Radiological Features and Outcome of COVID-19 patients in a Secondary Hospital in Jakarta, Indonesia.</ArticleTitle><Pagination><MedlinePgn>750-757</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3855/jidc.12911</ELocationID><Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">The numbers of people infected with SARS-CoV-2 in Indonesia especially in Jakarta as the epicenter continue to rise. Limited published clinical data, scarcity and long turn over time of diagnostic testing put clinician in dilemma to make diagnosis.</AbstractText><AbstractText Label="METHODOLOGY" NlmCategory="METHODS">This is an observational case series study from confirmed COVID-19 patient in our hospital from first case admission on 17 March 30 April, 2020. We collected patient's demography, symptoms, comorbidities, therapy, laboratory, chest x-ray and ECG consecutively.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Between 17 March 2020 and 30 April 2020, there were 30 confirmed COVID-19 cases, 16 (53.3%) were male. Clinical symptoms were dyspnea in 22 (73.3%) and dry cough 16 (53.3%). Comorbidities were diabetes in 14 (46.6%), hypertension 10 (33.3%) and Coronary Artery Disease (CAD) in 10 (33.3%) patients respectively. Laboratory findings showed lymphopenia in 21 (70%) patients, increased inflammation marker in Erythrocyte Sedimentation Rate (ESR), C-Reactive Protein (CRP) and Lactate Dehydrogenase (LDH) 21 (70%), 23 (76.6%) and 12 (40%) patients respectively. Twenty-seven (90%) cases had abnormal Chest X-Ray (CXR) and mostly severe 18 (60%). Descriptive finding for images included consolidation 16 (53.3%) and Ground Glass Opacities (GGO) in 10 (33.3%) patients.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Based on our findings, most cases of COVID-19 admitted in secondary referral hospital were already in moderate to severe stages. This is most likely due to late referral from primary care and unspecific clinical features resemblance of other infectious diseases. Inflammation marker and CXR are cost effective findings and can be used as marker to determine further referral.</AbstractText><CopyrightInformation>Copyright (c) 2020 Muhammad Hafiz, Aziza Ghanie Icksan, Annisa Dian Harlivasari, Rizky Aulia, Febrina Susanti, Lourisa Eldinia.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hafiz</LastName><ForeName>Muhammad</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Respiratory Medicine, Budhi Asih Hospital, Jakarta, Indonesia. mhafiz.alkaf@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Icksan</LastName><ForeName>Aziza Ghanie</ForeName><Initials>AG</Initials><AffiliationInfo><Affiliation>Department of Radiology, Faculty of Medicine University Pembangunan Nasional, Persahabatan Hospital, Jakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Harlivasari</LastName><ForeName>Annisa Dian</ForeName><Initials>AD</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Respiratory Medicine, Budhi Asih Hospital, Jakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Aulia</LastName><ForeName>Rizky</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Budhi Asih Hospital, Jakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Susanti</LastName><ForeName>Febrina</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Pulmonology and Respiratory Medicine, Budhi Asih Hospital, Jakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eldinia</LastName><ForeName>Lourisa</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Emergency Medicine, Budhi Asih Hospital, Jakarta, Indonesia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D064888">Observational Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>31</Day></ArticleDate></Article><MedlineJournalInfo><Country>Italy</Country><MedlineTA>J Infect Dev Ctries</MedlineTA><NlmUniqueID>101305410</NlmUniqueID><ISSNLinking>1972-2680</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003920" 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Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013902" MajorTopicYN="N">Radiography, Thoracic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D063728" MajorTopicYN="N">Secondary Care Centers</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014965" MajorTopicYN="N">X-Rays</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Diagnosis</Keyword><Keyword MajorTopicYN="N">Limited resources</Keyword></KeywordList><CoiStatement>No Conflict of Interest is declared</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>04</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>07</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32794466</ArticleId><ArticleId IdType="doi">10.3855/jidc.12911</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Indonésie</li></country></list><tree><country name="Indonésie"><noRegion><name sortKey="Hafiz, Muhammad" sort="Hafiz, Muhammad" uniqKey="Hafiz M" first="Muhammad" last="Hafiz">Muhammad Hafiz</name></noRegion><name sortKey="Aulia, Rizky" sort="Aulia, Rizky" uniqKey="Aulia R" first="Rizky" last="Aulia">Rizky Aulia</name><name sortKey="Eldinia, Lourisa" sort="Eldinia, Lourisa" uniqKey="Eldinia L" first="Lourisa" last="Eldinia">Lourisa Eldinia</name><name sortKey="Harlivasari, Annisa Dian" sort="Harlivasari, Annisa Dian" uniqKey="Harlivasari A" first="Annisa Dian" last="Harlivasari">Annisa Dian Harlivasari</name><name sortKey="Icksan, Aziza Ghanie" sort="Icksan, Aziza Ghanie" uniqKey="Icksan A" first="Aziza Ghanie" last="Icksan">Aziza Ghanie Icksan</name><name sortKey="Susanti, Febrina" sort="Susanti, Febrina" uniqKey="Susanti F" first="Febrina" last="Susanti">Febrina 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