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.

Saved in:
Bibliographic Details
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.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 132293147
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1