{"doi":"10.1071/sh24101","title":"Comparison of IgG serum antibodies, electronic health records and self-report in estimating past infection with Chlamydia trachomatis in a cohort of men who have sex with men","abstract":"Background The best method for measuring a history of Chlamydia trachomatis (CT) infections is unknown. We examined the reliability of three methods as markers of past CT infections: IgG serum antibodies, the electronic health record (EHR) and self-report. Methods This cross-sectional study used data from a cohort study of 122 MSM in King County, Washington, United States. Sera were tested for IgG using the mixed CT peptide enzyme-linked immunosorbent assay (ELISA). Participant data for past CT diagnoses were extracted from the EHR. Self-report of past CT was collected via survey. We calculated positive and negative percent agreements of CT history using total IgG serum antibodies to CT, past EHR diagnosis and self-report of past CT as reference measures when they were compared with one another. Results Of those who were IgG seropositive, only 41.5% had a past diagnosis of CT in their EHRs, but 74.4% self-reported a history of CT. The majority (92.7%) of participants who had a diagnosis of CT in their EHRs reported a past CT infection. Conclusions Self-report in combination with IgG serum antibodies to CT may be a more reliable indicator of past CT than EHRs in settings without comprehensive EHRs.","journal":"Sexual Health","year":2024,"id":474637,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9284,"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":444182,"name":"Lindley A. Barbee","orcid":"0000-0002-7189-5492","position":1,"is_corresponding":false},{"id":725774,"name":"Kevin Hybiske","orcid":"0000-0002-2967-3079","position":2,"is_corresponding":false},{"id":1311151,"name":"Katherine S. Newman","orcid":"0009-0007-5095-9497","position":3,"is_corresponding":false},{"id":1277610,"name":"Ren Ikeda","orcid":"0009-0003-4012-7532","position":4,"is_corresponding":false},{"id":931517,"name":"Angela LeClair","orcid":null,"position":5,"is_corresponding":false},{"id":311289,"name":"Matthew R. Golden","orcid":"0000-0001-7449-3774","position":6,"is_corresponding":false},{"id":316703,"name":"Olusegun O. Soge","orcid":"0000-0002-8504-2319","position":7,"is_corresponding":false},{"id":301166,"name":"Lisa E. Manhart","orcid":"0000-0002-4896-7654","position":8,"is_corresponding":false},{"id":490006,"name":"Christine M. Khosropour","orcid":"0000-0002-9743-0829","position":9,"is_corresponding":false},{"id":1277609,"name":"Mary Bridget Waters","orcid":"0000-0001-5624-5443","position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-19T02:06:13.042906Z","pmid":"39621456","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":[]}