Clustering of adverse perinatal outcomes in women with multiple sensitising events: a data-driven approach using clinical and immunohematologic profiles.
{"title":"Clustering of adverse perinatal outcomes in women with multiple sensitising events: a data-driven approach using clinical and immunohematologic profiles.","authors":"Anubhav Gupta, Meenakshi Gothwal, Garima Yadav, Swati Asati, Pratibha Singh","doi":"10.1016/j.tracli.2025.08.005","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Red-cell alloimmunisation is a preventable driver of haemolytic disease of the foetus and newborn, yet most risk scores rely on single-parameter thresholds and overlook clinically important heterogeneity.</p><p><strong>Objective: </strong>To uncover latent phenotypes among sensitised pregnancies by clustering routinely collected clinical and immunohaematologic variables.</p><p><strong>Methods: </strong>We retrospectively analysed 2084 antenatal records (2020-2021). Five variables-maternal antibody status, haemoglobin (Hb) concentration, cumulative number of sensitising events, gestational age at first positive antibody screen, and parity-were multiply imputed and scaled. A rule-based approximation of Gaussian mixture modelling and HDBSCAN assigned women to five clusters. Internal validity was assessed with the silhouette coefficient (0.41) and Davies-Bouldin index (0.88). Multivariable logistic regression evaluated the association between cluster membership and a composite adverse perinatal outcome, adjusting for maternal age and comorbidities.</p><p><strong>Results: </strong>Five clinically coherent clusters emerged (Cluster 1 = 13, Cluster 2 = 848, Cluster 3 = 26, Cluster 4 = 36, Cluster 5 = 513; 648 records lacked sufficient data for assignment). Cluster 1 combined antibody positivity with marked anaemia (mean Hb 8.6 ± 1.3 g/dL) and showed the highest risk of adverse outcome (adjusted OR 4.3, 95 % CI 2.7-6.8, p < 0.001). Cluster 3-seronegative women with preserved Hb (≥12 g/dL) but neonatal depression (1-min Apgar < 7 in 100 % of cases)-represented an unexpected high-risk phenotype. Cluster 5 (antibody-negative, Hb ≥ 12 g/dL, 1-min Apgar ≥ 7) served as the low-risk reference.</p><p><strong>Conclusion: </strong>Unsupervised clustering of simple antenatal parameters reveals hidden risk profiles that outperform single-threshold screening. This data-driven phenotyping could refine surveillance intensity and transfusion strategies in sensitised pregnancies.</p>","PeriodicalId":94255,"journal":{"name":"Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.tracli.2025.08.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Red-cell alloimmunisation is a preventable driver of haemolytic disease of the foetus and newborn, yet most risk scores rely on single-parameter thresholds and overlook clinically important heterogeneity.
Objective: To uncover latent phenotypes among sensitised pregnancies by clustering routinely collected clinical and immunohaematologic variables.
Methods: We retrospectively analysed 2084 antenatal records (2020-2021). Five variables-maternal antibody status, haemoglobin (Hb) concentration, cumulative number of sensitising events, gestational age at first positive antibody screen, and parity-were multiply imputed and scaled. A rule-based approximation of Gaussian mixture modelling and HDBSCAN assigned women to five clusters. Internal validity was assessed with the silhouette coefficient (0.41) and Davies-Bouldin index (0.88). Multivariable logistic regression evaluated the association between cluster membership and a composite adverse perinatal outcome, adjusting for maternal age and comorbidities.
Results: Five clinically coherent clusters emerged (Cluster 1 = 13, Cluster 2 = 848, Cluster 3 = 26, Cluster 4 = 36, Cluster 5 = 513; 648 records lacked sufficient data for assignment). Cluster 1 combined antibody positivity with marked anaemia (mean Hb 8.6 ± 1.3 g/dL) and showed the highest risk of adverse outcome (adjusted OR 4.3, 95 % CI 2.7-6.8, p < 0.001). Cluster 3-seronegative women with preserved Hb (≥12 g/dL) but neonatal depression (1-min Apgar < 7 in 100 % of cases)-represented an unexpected high-risk phenotype. Cluster 5 (antibody-negative, Hb ≥ 12 g/dL, 1-min Apgar ≥ 7) served as the low-risk reference.
Conclusion: Unsupervised clustering of simple antenatal parameters reveals hidden risk profiles that outperform single-threshold screening. This data-driven phenotyping could refine surveillance intensity and transfusion strategies in sensitised pregnancies.