{"doi":"10.1093/labmed/lmae091","title":"Comparison of basic lymphocyte phenotype results between a diagnostic and a research laboratory","abstract":"OBJECTIVE: Lymphocyte phenotyping is a valuable tool for monitoring the effects of antiretroviral therapy on individuals living with HIV-1. A switch study was conducted to compare T-cell subset quantification performed by a research laboratory and a diagnostic, laboratory to understand the impact on the retrospective and prospective results of a long-term study. METHODS: Using FACSCanto II Flow Cytometers, EDTA anticoagulated peripheral blood from 73 males enrolled in the Multicenter AIDS Cohort Study/Women Interagency HIV Combined Cohort Study was analyzed by both a research (laboratory 1) and a diagnostics laboratory (laboratory 2) for quantification of cluster of differentiation (CD)3, CD4, and CD8 T-cells. There were 47 males living with and 26 living without HIV-1. RESULTS: Bland-Altman (B-A) analysis was applied to assess the agreement between laboratory 1 and laboratory 2 results. There were 69 out of 73 CD3, 71 out of 73CD4, and 72 out of 73 CD8 T-cell results that fell within acceptable B-A limits of agreement. The mean differences between the 2 laboratories were -1.000, -0.945, and +0.685(%), respectively. CONCLUSION: The strong agreement between results from laboratory 1 and laboratory 2 for CD3, CD4, and CD8 T-cell percentage suggests that the difference between laboratories using the same instrumentation and methodology will have a minimal effect on long-term study results.","journal":"Laboratory Medicine","year":2024,"id":506457,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9094,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1357984,"name":"Erik LaBelle","orcid":null,"position":1,"is_corresponding":false},{"id":95191,"name":"Beth D. Jamieson","orcid":"0000-0003-1206-3853","position":2,"is_corresponding":false},{"id":270178,"name":"Matthew J. Mimiaga","orcid":"0000-0001-9256-2905","position":3,"is_corresponding":false},{"id":518093,"name":"Roger Detels","orcid":"0000-0002-6622-9655","position":4,"is_corresponding":false},{"id":592250,"name":"Najib Aziz","orcid":"0000-0002-8907-8730","position":0,"is_corresponding":true}],"reference_count":14,"raw_metadata":null,"created_at":"2026-07-19T02:10:54.646711Z","pmid":"39569985","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}