{"doi":"10.3390/jpm12010068","title":"Neutralization Assessments Reveal High Cardiothoracic Ratio and Old Age as Independent Predictors of Low Neutralizing Antibody Titers in Hemodialysis Patients Receiving a Single Dose of COVID-19 Vaccine","abstract":"Background: Data are lacking regarding predictors of quantification of neutralizing antibodies (nAbs) based on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 50% neutralization titer (NT50) after a single dose of COVID-19 vaccine in hemodialysis (HD) patients. Methods: This prospective single-center study enrolled 200 HD patients and 82 healthy subjects to estimate antibodies against the SARS-CoV-2 viral spike protein 1 and receptor-binding domain after a first dose of a COVID-19 vaccine (ChAdOx1 or mRNA-1273), measured by enzyme-linked immunosorbent assay and applied spline-based generalized additive model regression analysis to predict NT50 converted to international units. Results: After the first dose of ChAdOx1, multiple linear regression showed that age (p = 0.011) and cardiothoracic ratio (p = 0.002) were negatively associated with NT50. Older age (OR = 0.958, p = 0.052) and higher cardiothoracic ratio (OR < 0.001, p = 0.037) could predict negative humoral response (NT50 < 35.13 IU/mL). NT50 was lower in HD patients compared with healthy controls receiving ChAdOx1 (10.68 vs. 43.01 IU/m, p < 0.001) or mRNA-1273 (36.39 vs. 262.2 IU/mL, p < 0.001). ChAdOx1 elicited lower GMTs than mRNA-1273 in the HD cohort (10.68 vs. 36.39 IU/mL, p < 0.001) and in healthy controls (43.01 vs. 262.22 IU/mL, p < 0.001). Conclusion: High cardiothoracic ratio and old age could independently predict a decline in nAb titers in an HD cohort vaccinated with a single dose of ChAdOx1.","journal":"Journal of Personalized Medicine","year":2022,"id":276240,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9385,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":713312,"name":"Kuan‐Ting Liu","orcid":"0000-0002-1355-5019","position":1,"is_corresponding":false},{"id":559167,"name":"Shin‐Ru Shih","orcid":"0000-0003-4874-401X","position":2,"is_corresponding":false},{"id":946371,"name":"Jung-Jr Ye","orcid":"0000-0003-3657-6901","position":3,"is_corresponding":false},{"id":946806,"name":"Yih-Ting Chen","orcid":null,"position":4,"is_corresponding":false},{"id":860289,"name":"Heng‐Chih Pan","orcid":"0000-0001-5782-7138","position":5,"is_corresponding":false},{"id":946372,"name":"Heng-Jung Hsu","orcid":"0000-0002-6283-6239","position":6,"is_corresponding":false},{"id":946373,"name":"Chiao‐Yin Sun","orcid":"0000-0001-7438-8042","position":7,"is_corresponding":false},{"id":946374,"name":"Chin‐Chan Lee","orcid":"0000-0003-1165-095X","position":8,"is_corresponding":false},{"id":946375,"name":"Chun‐Ying Wu","orcid":"0000-0001-5053-1801","position":9,"is_corresponding":false},{"id":459628,"name":"Chi‐Chun Lai","orcid":"0000-0001-9547-7212","position":10,"is_corresponding":false},{"id":860666,"name":"I‐Wen Wu","orcid":"0000-0001-8535-3582","position":11,"is_corresponding":false},{"id":946370,"name":"Chun‐Yu Chen","orcid":"0000-0001-6054-1974","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T00:28:26.545826Z","pmid":"35055386","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":[]}