Reconciling the evaluation of co-morbidities among HIV care patients in two large data systems: the Medical Monitoring Project and CFAR Network of Integrated Clinical Systems.
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| Title: | Reconciling the evaluation of co-morbidities among HIV care patients in two large data systems: the Medical Monitoring Project and CFAR Network of Integrated Clinical Systems. |
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| Authors: | Hood, Julia E., Bradley, Heather, Hughes, James P., Golden, Matthew R., Crane, Heidi M., Buskin, Susan E., Burkholder, Greer A., Geng, Elvin, Kitahata, Mari M., Mathews, William C., Moore, Richard D., Hawes, Stephen E. |
| Source: | AIDS Care. Dec2018, Vol. 30 Issue 12, p1551-1559. 9p. 5 Charts. |
| Subjects: | Centers for Disease Control & Prevention (U.S.), Chronic kidney failure, Diabetes, HIV infections, Integrated health care delivery, Longitudinal method, Scientific observation, Public health surveillance, Comorbidity, Research bias, Disease prevalence |
| Geographic Terms: | United States |
| Abstract: | The estimated burden of chronic disease among people living with HIV (PLWH) varies considerably by data source, due to differences in case definitions, analytic approaches, and underlying patient populations. We evaluated the burden of diabetes (DM) and chronic kidney disease (CKD) in two large data systems that are commonly queried to evaluate health issues affecting HIV care patients: the Medical Monitoring Project (MMP), a nationally representative sample, and the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), a clinical cohort. In order to reconcile these two data sources, we addressed issues common to observational data, including selection bias, missing data, and development of case definitions. The overall adjusted estimated prevalence of DM and CKD in MMP was 12.7% and 7.6%, respectively, and the overall prevalence of DM and CKD in CNICS was 9.9% and 8.3%, respectively; prevalence estimates increased with age in both data sources. After reconciling the approach to analyzing MMP and CNICS data, sub-group specific prevalence estimates of DM and CKD was generally similar in both data sources. Both data sources suggest a considerable burden of disease among older adults in HIV care. MMP and CNICS can provide reliable data to monitor HIV co-morbidities in the US. [ABSTRACT FROM AUTHOR] |
| Copyright of AIDS Care is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 132293147 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reconciling the evaluation of co-morbidities among HIV care patients in two large data systems: the Medical Monitoring Project and CFAR Network of Integrated Clinical Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hood%2C+Julia+E%2E%22">Hood, Julia E.</searchLink><br /><searchLink fieldCode="AR" term="%22Bradley%2C+Heather%22">Bradley, Heather</searchLink><br /><searchLink fieldCode="AR" term="%22Hughes%2C+James+P%2E%22">Hughes, James P.</searchLink><br /><searchLink fieldCode="AR" term="%22Golden%2C+Matthew+R%2E%22">Golden, Matthew R.</searchLink><br /><searchLink fieldCode="AR" term="%22Crane%2C+Heidi+M%2E%22">Crane, Heidi M.</searchLink><br /><searchLink fieldCode="AR" term="%22Buskin%2C+Susan+E%2E%22">Buskin, Susan E.</searchLink><br /><searchLink fieldCode="AR" term="%22Burkholder%2C+Greer+A%2E%22">Burkholder, Greer A.</searchLink><br /><searchLink fieldCode="AR" term="%22Geng%2C+Elvin%22">Geng, Elvin</searchLink><br /><searchLink fieldCode="AR" term="%22Kitahata%2C+Mari+M%2E%22">Kitahata, Mari M.</searchLink><br /><searchLink fieldCode="AR" term="%22Mathews%2C+William+C%2E%22">Mathews, William C.</searchLink><br /><searchLink fieldCode="AR" term="%22Moore%2C+Richard+D%2E%22">Moore, Richard D.</searchLink><br /><searchLink fieldCode="AR" term="%22Hawes%2C+Stephen+E%2E%22">Hawes, Stephen E.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22AIDS+Care%22">AIDS Care</searchLink>. Dec2018, Vol. 30 Issue 12, p1551-1559. 9p. 5 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Centers+for+Disease+Control+%26+Prevention+%28U%2ES%2E%29%22">Centers for Disease Control & Prevention (U.S.)</searchLink><br /><searchLink fieldCode="DE" term="%22Chronic+kidney+failure%22">Chronic kidney failure</searchLink><br /><searchLink fieldCode="DE" term="%22Diabetes%22">Diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22HIV+infections%22">HIV infections</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+health+care+delivery%22">Integrated health care delivery</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health+surveillance%22">Public health surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Comorbidity%22">Comorbidity</searchLink><br /><searchLink fieldCode="DE" term="%22Research+bias%22">Research bias</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The estimated burden of chronic disease among people living with HIV (PLWH) varies considerably by data source, due to differences in case definitions, analytic approaches, and underlying patient populations. We evaluated the burden of diabetes (DM) and chronic kidney disease (CKD) in two large data systems that are commonly queried to evaluate health issues affecting HIV care patients: the Medical Monitoring Project (MMP), a nationally representative sample, and the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), a clinical cohort. In order to reconcile these two data sources, we addressed issues common to observational data, including selection bias, missing data, and development of case definitions. The overall adjusted estimated prevalence of DM and CKD in MMP was 12.7% and 7.6%, respectively, and the overall prevalence of DM and CKD in CNICS was 9.9% and 8.3%, respectively; prevalence estimates increased with age in both data sources. After reconciling the approach to analyzing MMP and CNICS data, sub-group specific prevalence estimates of DM and CKD was generally similar in both data sources. Both data sources suggest a considerable burden of disease among older adults in HIV care. MMP and CNICS can provide reliable data to monitor HIV co-morbidities in the US. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of AIDS Care is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=132293147 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09540121.2018.1499855 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1551 Subjects: – SubjectFull: Centers for Disease Control & Prevention (U.S.) Type: general – SubjectFull: Chronic kidney failure Type: general – SubjectFull: Diabetes Type: general – SubjectFull: HIV infections Type: general – SubjectFull: Integrated health care delivery Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Scientific observation Type: general – SubjectFull: Public health surveillance Type: general – SubjectFull: Comorbidity Type: general – SubjectFull: Research bias Type: general – SubjectFull: Disease prevalence Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Reconciling the evaluation of co-morbidities among HIV care patients in two large data systems: the Medical Monitoring Project and CFAR Network of Integrated Clinical Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hood, Julia E. – PersonEntity: Name: NameFull: Bradley, Heather – PersonEntity: Name: NameFull: Hughes, James P. – PersonEntity: Name: NameFull: Golden, Matthew R. – PersonEntity: Name: NameFull: Crane, Heidi M. – PersonEntity: Name: NameFull: Buskin, Susan E. – PersonEntity: Name: NameFull: Burkholder, Greer A. – PersonEntity: Name: NameFull: Geng, Elvin – PersonEntity: Name: NameFull: Kitahata, Mari M. – PersonEntity: Name: NameFull: Mathews, William C. – PersonEntity: Name: NameFull: Moore, Richard D. – PersonEntity: Name: NameFull: Hawes, Stephen E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 09540121 Numbering: – Type: volume Value: 30 – Type: issue Value: 12 Titles: – TitleFull: AIDS Care Type: main |
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