{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:04:01Z","timestamp":1787169841833,"version":"build-2736575974"},"reference-count":0,"publisher":"Ovid Technologies (Wolters Kluwer Health)","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Accurate antibody identification is crucial for safe transfusion practices. Conventionally, tube antiglobulin methods using polyethylene glycol (PEG-AHG) are considered the gold standard. However, recent advances such as automated solid-phase red cell adherence (SPRCA) assays have improved standardization and reduced subjectivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>The objective of this study was to compare the performance, efficiency, and concordance of antibody identification using the automated SPRCA method (Immucor NEO platform) with the conventional tube PEG-AHG method in a tertiary care transfusion laboratory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>This prospective, observational study included 1000 patient samples received for antibody screening and identification over a period of 12 months. Each sample was tested simultaneously using the Immucor NEO automated SPRCA system and the conventional tube PEG-AHG method. The parameters compared included detection rate, specificity, sensitivity, turnaround time (TAT), and concordance with clinical history.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Out of 1000 samples, antibodies were detected in 108 (10.8%) by at least one method. The SPRCA method detected 106 antibodies (10.6%), whereas the PEG-AHG method detected 98 (9.8%). Complete concordance between both the methods was observed in 940 (94%) samples, while 60 (6%) samples showed discordant results. SPRCA demonstrated higher sensitivity (98.1%) and reduced manual error with an average TAT of 18 min per batch, compared to 35 min for the PEG-AHG method. Commonly identified antibodies included anti-D, anti-E, anti-K, and combinations thereof.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The automated SPRCA method using the Immucor NEO platform offers superior sensitivity, reproducibility, and efficiency for antibody identification compared to the conventional tube PEG-AHG method. Integration of automation into transfusion laboratories enhances workflow and patient safety by minimizing subjectivity and variability.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/aam.aam_20_26","type":"journal-article","created":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T06:00:09Z","timestamp":1780984809000},"update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Antibody Identification Using Both Automated Solid-phase Red Cell Adherence Assay and Tube Polyethylene Glycol Antiglobulin Method: A Comparative Study"],"prefix":"10.4103","author":[{"given":"Keshav R.","family":"Kulkarni","sequence":"first","affiliation":[{"name":"Department of Pathology, S. Nijalingappa Medical College and HSK Hospital and Research Centre, Bagalkote, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pavan","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Department of Pathology, S. Nijalingappa Medical College and HSK Hospital and Research Centre, Bagalkote, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uma","family":"Jamakhandi","sequence":"additional","affiliation":[{"name":"Department of Pathology, S. Nijalingappa Medical College and HSK Hospital and Research Centre, Bagalkote, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parasappa J.","family":"Yarnal","sequence":"additional","affiliation":[{"name":"Department of Pathology, S. Nijalingappa Medical College and HSK Hospital and Research Centre, Bagalkote, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,6,8]]},"container-title":["Annals of African Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/aam.aam_20_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:13:59Z","timestamp":1787166839000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/aam.aam_20_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.4103\/aam.aam_20_26","relation":{},"ISSN":["1596-3519","0975-5764"],"issn-type":[{"value":"1596-3519","type":"print"},{"value":"0975-5764","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,8]]},"assertion":[{"value":"2026-01-07","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-03-25","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}