[Influenza and community acquired pneumonia in German primary care].
Identifieur interne : 000076 ( Main/Corpus ); précédent : 000075; suivant : 000077[Influenza and community acquired pneumonia in German primary care].
Auteurs : Aryna Zanuzdana ; Karla Köpke ; Walter HaasSource :
- Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [ 1437-1588 ] ; 2016.
English descriptors
- KwdEn :
- Acute Disease (MeSH), Adolescent (MeSH), Adult (MeSH), Age Distribution (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Child (MeSH), Child, Preschool (MeSH), Community-Acquired Infections (classification), Community-Acquired Infections (diagnosis), Community-Acquired Infections (epidemiology), Electronic Health Records (organization & administration), Germany (epidemiology), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Influenza, Human (classification), Influenza, Human (diagnosis), Influenza, Human (epidemiology), Information Storage and Retrieval (standards), International Classification of Diseases (MeSH), Male (MeSH), Middle Aged (MeSH), Population Surveillance (methods), Prevalence (MeSH), Primary Health Care (statistics & numerical data), Risk Assessment (MeSH), Risk Factors (MeSH), Seasons (MeSH), Sex Distribution (MeSH), Young Adult (MeSH).
- MESH :
- classification : Community-Acquired Infections, Influenza, Human.
- diagnosis : Community-Acquired Infections, Influenza, Human.
- epidemiology : Community-Acquired Infections, Germany, Influenza, Human.
- methods : Population Surveillance.
- organization & administration : Electronic Health Records.
- standards : Information Storage and Retrieval.
- statistics & numerical data : Primary Health Care.
- Acute Disease, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Humans, Infant, Infant, Newborn, International Classification of Diseases, Male, Middle Aged, Prevalence, Risk Assessment, Risk Factors, Seasons, Sex Distribution, Young Adult.
Abstract
Influenza and community-acquired pneumonia (CAP) impose a considerable annual burden on the German primary care system. Yet there is a lack of epidemiological data from the country's outpatient sector on groups at risk as well as on the complications of these diseases.The Robert Koch Institute (RKI) initiated the study to identify population groups at increased risk for influenza or CAP as well as related comorbidities and sequelae. We present the methodology of the study and the descriptive analysis of the patients.ICD-10-based data was collected in 89 primary health care practices between January 2012 and April 2015 using a data extraction tool developed on behalf of the RKI. Case-based anonymized information was recorded for all patients in whom influenza, CAP or other acute respiratory infections (ARI) were diagnosed. For each patient information on all diagnoses including the date were retrospectively and prospectively collected (each for six months) as well as age, sex and influenza vaccination.Data on 156,803 patients with ARI was collected, of them 7909 patients with influenza (within influenza waves) and 8528 patients with CAP diagnoses. Influenza diagnoses showed a strong seasonal pattern and captured annual influenza waves in Germany. Of the influenza cases 1.6 % had a following diagnosis of CAP within 30 days. Age-specific prevalence of chronic diseases such as asthma and diabetes was significantly higher in the study population as compared to the German population.The developed tool delivers in a standardized fashion ICD-10-coded epidemiological data on population-based burden of influenza and CAP in Germany. As the descriptive analysis showed, the collected dataset is a reliable and solid basis for the further investigations of the study questions.
DOI: 10.1007/s00103-016-2442-4
PubMed: 27695937
Links to Exploration step
pubmed:27695937Le document en format XML
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ZanuzdanaA@rki.de.</nlm:affiliation></affiliation></author><author><name sortKey="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name><affiliation><nlm:affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</nlm:affiliation></affiliation></author><author><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name><affiliation><nlm:affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:27695937</idno><idno type="pmid">27695937</idno><idno type="doi">10.1007/s00103-016-2442-4</idno><idno type="wicri:Area/Main/Corpus">000076</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000076</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Influenza and community acquired pneumonia in German primary care].</title><author><name sortKey="Zanuzdana, Aryna" sort="Zanuzdana, Aryna" uniqKey="Zanuzdana A" first="Aryna" last="Zanuzdana">Aryna Zanuzdana</name><affiliation><nlm:affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland. ZanuzdanaA@rki.de.</nlm:affiliation></affiliation></author><author><name sortKey="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name><affiliation><nlm:affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</nlm:affiliation></affiliation></author><author><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name><affiliation><nlm:affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</title><idno type="eISSN">1437-1588</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acute Disease (MeSH)</term><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Age Distribution (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Community-Acquired Infections (classification)</term><term>Community-Acquired Infections (diagnosis)</term><term>Community-Acquired Infections (epidemiology)</term><term>Electronic Health Records (organization & administration)</term><term>Germany (epidemiology)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Influenza, Human (classification)</term><term>Influenza, Human (diagnosis)</term><term>Influenza, Human (epidemiology)</term><term>Information Storage and Retrieval (standards)</term><term>International Classification of Diseases (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Population Surveillance (methods)</term><term>Prevalence (MeSH)</term><term>Primary Health Care (statistics & numerical data)</term><term>Risk Assessment (MeSH)</term><term>Risk Factors (MeSH)</term><term>Seasons (MeSH)</term><term>Sex Distribution (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Community-Acquired Infections</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Community-Acquired Infections</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Community-Acquired Infections</term><term>Germany</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Electronic Health Records</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Information Storage and Retrieval</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Primary Health Care</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acute Disease</term><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>International Classification of Diseases</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Risk Assessment</term><term>Risk Factors</term><term>Seasons</term><term>Sex Distribution</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Influenza and community-acquired pneumonia (CAP) impose a considerable annual burden on the German primary care system. Yet there is a lack of epidemiological data from the country's outpatient sector on groups at risk as well as on the complications of these diseases.The Robert Koch Institute (RKI) initiated the study to identify population groups at increased risk for influenza or CAP as well as related comorbidities and sequelae. We present the methodology of the study and the descriptive analysis of the patients.ICD-10-based data was collected in 89 primary health care practices between January 2012 and April 2015 using a data extraction tool developed on behalf of the RKI. Case-based anonymized information was recorded for all patients in whom influenza, CAP or other acute respiratory infections (ARI) were diagnosed. For each patient information on all diagnoses including the date were retrospectively and prospectively collected (each for six months) as well as age, sex and influenza vaccination.Data on 156,803 patients with ARI was collected, of them 7909 patients with influenza (within influenza waves) and 8528 patients with CAP diagnoses. Influenza diagnoses showed a strong seasonal pattern and captured annual influenza waves in Germany. Of the influenza cases 1.6 % had a following diagnosis of CAP within 30 days. Age-specific prevalence of chronic diseases such as asthma and diabetes was significantly higher in the study population as compared to the German population.The developed tool delivers in a standardized fashion ICD-10-coded epidemiological data on population-based burden of influenza and CAP in Germany. As the descriptive analysis showed, the collected dataset is a reliable and solid basis for the further investigations of the study questions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27695937</PMID><DateCompleted><Year>2017</Year><Month>05</Month><Day>03</Day></DateCompleted><DateRevised><Year>2017</Year><Month>05</Month><Day>03</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1437-1588</ISSN><JournalIssue CitedMedium="Internet"><Volume>59</Volume><Issue>11</Issue><PubDate><Year>2016</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</Title><ISOAbbreviation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</ISOAbbreviation></Journal><ArticleTitle>[Influenza and community acquired pneumonia in German primary care].</ArticleTitle><Pagination><MedlinePgn>1492-1502</MedlinePgn></Pagination><Abstract><AbstractText>Influenza and community-acquired pneumonia (CAP) impose a considerable annual burden on the German primary care system. Yet there is a lack of epidemiological data from the country's outpatient sector on groups at risk as well as on the complications of these diseases.The Robert Koch Institute (RKI) initiated the study to identify population groups at increased risk for influenza or CAP as well as related comorbidities and sequelae. We present the methodology of the study and the descriptive analysis of the patients.ICD-10-based data was collected in 89 primary health care practices between January 2012 and April 2015 using a data extraction tool developed on behalf of the RKI. Case-based anonymized information was recorded for all patients in whom influenza, CAP or other acute respiratory infections (ARI) were diagnosed. For each patient information on all diagnoses including the date were retrospectively and prospectively collected (each for six months) as well as age, sex and influenza vaccination.Data on 156,803 patients with ARI was collected, of them 7909 patients with influenza (within influenza waves) and 8528 patients with CAP diagnoses. Influenza diagnoses showed a strong seasonal pattern and captured annual influenza waves in Germany. Of the influenza cases 1.6 % had a following diagnosis of CAP within 30 days. Age-specific prevalence of chronic diseases such as asthma and diabetes was significantly higher in the study population as compared to the German population.The developed tool delivers in a standardized fashion ICD-10-coded epidemiological data on population-based burden of influenza and CAP in Germany. As the descriptive analysis showed, the collected dataset is a reliable and solid basis for the further investigations of the study questions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zanuzdana</LastName><ForeName>Aryna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland. ZanuzdanaA@rki.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Köpke</LastName><ForeName>Karla</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>Walter</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Postfach 65 02 61, 13302, Berlin, Deutschland.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ger</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Influenza und ambulant erworbene Pneumonie in hausärztlich tätigen Arztpraxen in Deutschland.</VernacularTitle></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</MedlineTA><NlmUniqueID>101181368</NlmUniqueID><ISSNLinking>1436-9990</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000208" MajorTopicYN="N">Acute Disease</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><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></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017714" MajorTopicYN="N">Community-Acquired Infections</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D057286" MajorTopicYN="N">Electronic Health Records</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016247" MajorTopicYN="N">Information Storage and Retrieval</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D038801" MajorTopicYN="N">International Classification of Diseases</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011320" MajorTopicYN="N">Primary Health Care</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Acute respiratory diseases</Keyword><Keyword MajorTopicYN="Y">ICD-10</Keyword><Keyword MajorTopicYN="Y">Influenza</Keyword><Keyword MajorTopicYN="Y">Pneumonia</Keyword><Keyword MajorTopicYN="Y">Primary care</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>10</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>5</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>10</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27695937</ArticleId><ArticleId IdType="doi">10.1007/s00103-016-2442-4</ArticleId><ArticleId 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