Loading…
Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy
Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We...
Saved in:
Published in: | PloS one 2011-04, Vol.6 (4), p.e18578 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73 |
---|---|
cites | cdi_FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73 |
container_end_page | |
container_issue | 4 |
container_start_page | e18578 |
container_title | PloS one |
container_volume | 6 |
creator | Buclin, Thierry Telenti, Amalio Perera, Rafael Csajka, Chantal Furrer, Hansjakob Aronson, Jeffrey K Glasziou, Paul P |
description | Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Cohort Study.
We built up two prediction rules ("Snap-shot rule" for a single sample and "Track-shot rule" for multiple determinations) based on a systematic review of published longitudinal analyses of CD4 cell count trajectories. We applied the rules in 2608 untreated patients to classify their 18 061 CD4 counts as either justifiable or superfluous, according to their prior ≥5% or 650 for a threshold of 200, >900 for 350, or >1150 for 500×10(6)/L, respectively. When CD4 counts fall below these limits, increased monitoring frequency becomes advisable. These rules offer guidance for efficient CD4 monitoring, particularly in resource-limited settings. |
doi_str_mv | 10.1371/journal.pone.0018578 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1317861752</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A476898301</galeid><doaj_id>oai_doaj_org_article_d20d74bc73194cbea5ef2131799e74f4</doaj_id><sourcerecordid>A476898301</sourcerecordid><originalsourceid>FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73</originalsourceid><addsrcrecordid>eNqNk9-K1DAUxoso7rr6BqIBQfBixqZp0_RGWGbVHVhY8M_ehjQ56WRpm9kkHZwX8XlNd7rLFBQkFzkkv-9L8pGTJK9xusSkxB9v7eB60S63todlmmJWlOxJcoorki1olpKnR_VJ8sL72zQtCKP0eXKS4bzKKUlPk98XsIPWbjvoAxK9QjvRGiWCsT2yGimQxo-1G1rwKFjUDEYB0g7uBujlfoQ625tgnekbtLrIkYS2RdIO0dD06HJ9s8Cx0CDvTWvQ1gHyQbgwKkQfjIPg7M440aKwASe2-5fJMy1aD6-m-Sz5-eXzj9Xl4ur663p1frWQtMJhwSiBrKYk15owWVGhNZWYYc3iVMgik0WuFJMlzXFFGQgsi4LVAmoiVKFLcpa8PfhuW-v5FKnnmOCSUVwWWSTWB0JZccu3znTC7bkVht8vWNfw8SWyBa6yVJV5LUuCq1zWIArQ2WhVVVDmOo9en6bThroDJWPm8c0z0_lObza8sTtO0jKrKhoN3k0Gzsb8ffjHlSeqEfFWMXobzWRnvOTneUlZxUiKI7X8CxWHgs7I-Km0ieszwYeZIDIBfoVGDN7z9fdv_89e38zZ90fsBkQbNt62w_hd_BzMD6B01nsH-jE5nPKxJx7S4GNP8KknouzNceqPoocmIH8AORQJ6g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1317861752</pqid></control><display><type>article</type><title>Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Buclin, Thierry ; Telenti, Amalio ; Perera, Rafael ; Csajka, Chantal ; Furrer, Hansjakob ; Aronson, Jeffrey K ; Glasziou, Paul P</creator><creatorcontrib>Buclin, Thierry ; Telenti, Amalio ; Perera, Rafael ; Csajka, Chantal ; Furrer, Hansjakob ; Aronson, Jeffrey K ; Glasziou, Paul P</creatorcontrib><description>Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Cohort Study.
We built up two prediction rules ("Snap-shot rule" for a single sample and "Track-shot rule" for multiple determinations) based on a systematic review of published longitudinal analyses of CD4 cell count trajectories. We applied the rules in 2608 untreated patients to classify their 18 061 CD4 counts as either justifiable or superfluous, according to their prior ≥5% or <5% chance of meeting predetermined thresholds for starting treatment. The percentage of measurements that both rules falsely deemed superfluous never exceeded 5%. Superfluous CD4 determinations represented 4%, 11%, and 39% of all actual determinations for treatment thresholds of 500, 350, and 200×10(6)/L, respectively. The Track-shot rule was only marginally superior to the Snap-shot rule. Both rules lose usefulness for CD4 counts coming near to treatment threshold.
Frequent CD4 count monitoring of patients with CD4 counts well above the threshold for initiating therapy is unlikely to identify patients who require therapy. It appears sufficient to measure CD4 cell count 1 year after a count >650 for a threshold of 200, >900 for 350, or >1150 for 500×10(6)/L, respectively. When CD4 counts fall below these limits, increased monitoring frequency becomes advisable. These rules offer guidance for efficient CD4 monitoring, particularly in resource-limited settings.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0018578</identifier><identifier>PMID: 21494630</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; AIDS ; Antiretroviral agents ; Antiretroviral drugs ; Antiretroviral therapy ; Antiretroviral Therapy, Highly Active ; Biomarkers ; Care and treatment ; CD4 antigen ; CD4 Lymphocyte Count - methods ; Cohort analysis ; Cohort Studies ; Computer simulation ; Decision Making ; Drug therapy ; Ethnicity ; Evidence-based medicine ; Health aspects ; Health Planning Guidelines ; Highly active antiretroviral therapy ; HIV ; HIV infections ; HIV Infections - drug therapy ; HIV Infections - immunology ; HIV Infections - virology ; HIV patients ; HIV-1 - immunology ; Hospitals ; Human immunodeficiency virus ; Humans ; Infections ; Literature reviews ; Medicine ; Monitoring ; Nomograms ; Patients ; Primary care ; Random variables ; Reproducibility of Results ; Sensitivity and Specificity ; Shot ; Studies ; Therapy ; Thresholds ; Toxicology ; Trajectory analysis</subject><ispartof>PloS one, 2011-04, Vol.6 (4), p.e18578</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Buclin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Buclin et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73</citedby><cites>FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1317861752/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1317861752?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21494630$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Buclin, Thierry</creatorcontrib><creatorcontrib>Telenti, Amalio</creatorcontrib><creatorcontrib>Perera, Rafael</creatorcontrib><creatorcontrib>Csajka, Chantal</creatorcontrib><creatorcontrib>Furrer, Hansjakob</creatorcontrib><creatorcontrib>Aronson, Jeffrey K</creatorcontrib><creatorcontrib>Glasziou, Paul P</creatorcontrib><title>Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Cohort Study.
We built up two prediction rules ("Snap-shot rule" for a single sample and "Track-shot rule" for multiple determinations) based on a systematic review of published longitudinal analyses of CD4 cell count trajectories. We applied the rules in 2608 untreated patients to classify their 18 061 CD4 counts as either justifiable or superfluous, according to their prior ≥5% or <5% chance of meeting predetermined thresholds for starting treatment. The percentage of measurements that both rules falsely deemed superfluous never exceeded 5%. Superfluous CD4 determinations represented 4%, 11%, and 39% of all actual determinations for treatment thresholds of 500, 350, and 200×10(6)/L, respectively. The Track-shot rule was only marginally superior to the Snap-shot rule. Both rules lose usefulness for CD4 counts coming near to treatment threshold.
Frequent CD4 count monitoring of patients with CD4 counts well above the threshold for initiating therapy is unlikely to identify patients who require therapy. It appears sufficient to measure CD4 cell count 1 year after a count >650 for a threshold of 200, >900 for 350, or >1150 for 500×10(6)/L, respectively. When CD4 counts fall below these limits, increased monitoring frequency becomes advisable. These rules offer guidance for efficient CD4 monitoring, particularly in resource-limited settings.</description><subject>Acquired immune deficiency syndrome</subject><subject>AIDS</subject><subject>Antiretroviral agents</subject><subject>Antiretroviral drugs</subject><subject>Antiretroviral therapy</subject><subject>Antiretroviral Therapy, Highly Active</subject><subject>Biomarkers</subject><subject>Care and treatment</subject><subject>CD4 antigen</subject><subject>CD4 Lymphocyte Count - methods</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Computer simulation</subject><subject>Decision Making</subject><subject>Drug therapy</subject><subject>Ethnicity</subject><subject>Evidence-based medicine</subject><subject>Health aspects</subject><subject>Health Planning Guidelines</subject><subject>Highly active antiretroviral therapy</subject><subject>HIV</subject><subject>HIV infections</subject><subject>HIV Infections - drug therapy</subject><subject>HIV Infections - immunology</subject><subject>HIV Infections - virology</subject><subject>HIV patients</subject><subject>HIV-1 - immunology</subject><subject>Hospitals</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infections</subject><subject>Literature reviews</subject><subject>Medicine</subject><subject>Monitoring</subject><subject>Nomograms</subject><subject>Patients</subject><subject>Primary care</subject><subject>Random variables</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Shot</subject><subject>Studies</subject><subject>Therapy</subject><subject>Thresholds</subject><subject>Toxicology</subject><subject>Trajectory analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9-K1DAUxoso7rr6BqIBQfBixqZp0_RGWGbVHVhY8M_ehjQ56WRpm9kkHZwX8XlNd7rLFBQkFzkkv-9L8pGTJK9xusSkxB9v7eB60S63todlmmJWlOxJcoorki1olpKnR_VJ8sL72zQtCKP0eXKS4bzKKUlPk98XsIPWbjvoAxK9QjvRGiWCsT2yGimQxo-1G1rwKFjUDEYB0g7uBujlfoQ625tgnekbtLrIkYS2RdIO0dD06HJ9s8Cx0CDvTWvQ1gHyQbgwKkQfjIPg7M440aKwASe2-5fJMy1aD6-m-Sz5-eXzj9Xl4ur663p1frWQtMJhwSiBrKYk15owWVGhNZWYYc3iVMgik0WuFJMlzXFFGQgsi4LVAmoiVKFLcpa8PfhuW-v5FKnnmOCSUVwWWSTWB0JZccu3znTC7bkVht8vWNfw8SWyBa6yVJV5LUuCq1zWIArQ2WhVVVDmOo9en6bThroDJWPm8c0z0_lObza8sTtO0jKrKhoN3k0Gzsb8ffjHlSeqEfFWMXobzWRnvOTneUlZxUiKI7X8CxWHgs7I-Km0ieszwYeZIDIBfoVGDN7z9fdv_89e38zZ90fsBkQbNt62w_hd_BzMD6B01nsH-jE5nPKxJx7S4GNP8KknouzNceqPoocmIH8AORQJ6g</recordid><startdate>20110408</startdate><enddate>20110408</enddate><creator>Buclin, Thierry</creator><creator>Telenti, Amalio</creator><creator>Perera, Rafael</creator><creator>Csajka, Chantal</creator><creator>Furrer, Hansjakob</creator><creator>Aronson, Jeffrey K</creator><creator>Glasziou, Paul P</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110408</creationdate><title>Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy</title><author>Buclin, Thierry ; Telenti, Amalio ; Perera, Rafael ; Csajka, Chantal ; Furrer, Hansjakob ; Aronson, Jeffrey K ; Glasziou, Paul P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>AIDS</topic><topic>Antiretroviral agents</topic><topic>Antiretroviral drugs</topic><topic>Antiretroviral therapy</topic><topic>Antiretroviral Therapy, Highly Active</topic><topic>Biomarkers</topic><topic>Care and treatment</topic><topic>CD4 antigen</topic><topic>CD4 Lymphocyte Count - methods</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Computer simulation</topic><topic>Decision Making</topic><topic>Drug therapy</topic><topic>Ethnicity</topic><topic>Evidence-based medicine</topic><topic>Health aspects</topic><topic>Health Planning Guidelines</topic><topic>Highly active antiretroviral therapy</topic><topic>HIV</topic><topic>HIV infections</topic><topic>HIV Infections - drug therapy</topic><topic>HIV Infections - immunology</topic><topic>HIV Infections - virology</topic><topic>HIV patients</topic><topic>HIV-1 - immunology</topic><topic>Hospitals</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Infections</topic><topic>Literature reviews</topic><topic>Medicine</topic><topic>Monitoring</topic><topic>Nomograms</topic><topic>Patients</topic><topic>Primary care</topic><topic>Random variables</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Shot</topic><topic>Studies</topic><topic>Therapy</topic><topic>Thresholds</topic><topic>Toxicology</topic><topic>Trajectory analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buclin, Thierry</creatorcontrib><creatorcontrib>Telenti, Amalio</creatorcontrib><creatorcontrib>Perera, Rafael</creatorcontrib><creatorcontrib>Csajka, Chantal</creatorcontrib><creatorcontrib>Furrer, Hansjakob</creatorcontrib><creatorcontrib>Aronson, Jeffrey K</creatorcontrib><creatorcontrib>Glasziou, Paul P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale in Context : Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Buclin, Thierry</au><au>Telenti, Amalio</au><au>Perera, Rafael</au><au>Csajka, Chantal</au><au>Furrer, Hansjakob</au><au>Aronson, Jeffrey K</au><au>Glasziou, Paul P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-04-08</date><risdate>2011</risdate><volume>6</volume><issue>4</issue><spage>e18578</spage><pages>e18578-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Cohort Study.
We built up two prediction rules ("Snap-shot rule" for a single sample and "Track-shot rule" for multiple determinations) based on a systematic review of published longitudinal analyses of CD4 cell count trajectories. We applied the rules in 2608 untreated patients to classify their 18 061 CD4 counts as either justifiable or superfluous, according to their prior ≥5% or <5% chance of meeting predetermined thresholds for starting treatment. The percentage of measurements that both rules falsely deemed superfluous never exceeded 5%. Superfluous CD4 determinations represented 4%, 11%, and 39% of all actual determinations for treatment thresholds of 500, 350, and 200×10(6)/L, respectively. The Track-shot rule was only marginally superior to the Snap-shot rule. Both rules lose usefulness for CD4 counts coming near to treatment threshold.
Frequent CD4 count monitoring of patients with CD4 counts well above the threshold for initiating therapy is unlikely to identify patients who require therapy. It appears sufficient to measure CD4 cell count 1 year after a count >650 for a threshold of 200, >900 for 350, or >1150 for 500×10(6)/L, respectively. When CD4 counts fall below these limits, increased monitoring frequency becomes advisable. These rules offer guidance for efficient CD4 monitoring, particularly in resource-limited settings.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21494630</pmid><doi>10.1371/journal.pone.0018578</doi><tpages>e18578</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2011-04, Vol.6 (4), p.e18578 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1317861752 |
source | Publicly Available Content Database; PubMed Central |
subjects | Acquired immune deficiency syndrome AIDS Antiretroviral agents Antiretroviral drugs Antiretroviral therapy Antiretroviral Therapy, Highly Active Biomarkers Care and treatment CD4 antigen CD4 Lymphocyte Count - methods Cohort analysis Cohort Studies Computer simulation Decision Making Drug therapy Ethnicity Evidence-based medicine Health aspects Health Planning Guidelines Highly active antiretroviral therapy HIV HIV infections HIV Infections - drug therapy HIV Infections - immunology HIV Infections - virology HIV patients HIV-1 - immunology Hospitals Human immunodeficiency virus Humans Infections Literature reviews Medicine Monitoring Nomograms Patients Primary care Random variables Reproducibility of Results Sensitivity and Specificity Shot Studies Therapy Thresholds Toxicology Trajectory analysis |
title | Development and validation of decision rules to guide frequency of monitoring CD4 cell count in HIV-1 infection before starting antiretroviral therapy |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T02%3A28%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20and%20validation%20of%20decision%20rules%20to%20guide%20frequency%20of%20monitoring%20CD4%20cell%20count%20in%20HIV-1%20infection%20before%20starting%20antiretroviral%20therapy&rft.jtitle=PloS%20one&rft.au=Buclin,%20Thierry&rft.date=2011-04-08&rft.volume=6&rft.issue=4&rft.spage=e18578&rft.pages=e18578-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0018578&rft_dat=%3Cgale_plos_%3EA476898301%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c691t-863e2b634ff38c96aff6c181f86c15c52c54dd8c7641968ea1c558baeb3ad5f73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1317861752&rft_id=info:pmid/21494630&rft_galeid=A476898301&rfr_iscdi=true |