后代
医学
危险系数
怀孕
置信区间
输血
产科
生理学
内科学
生物
遗传学
作者
Sarah J Valk,Camila Caram‐Deelder,Rolf H. H. Groenwold,Dorothea Evers,Karen M. K. de Vooght,Daan van de Kerkhof,Mariëlle J. Wondergem,Nathalie C. V. Péquériaux,Francisca Hudig,Jaap Jan Zwaginga,Rutger A. Middelburg,Johanna G. van der Bom
标识
DOI:10.3324/haematol.2023.283550
摘要
Previous studies found exposure to red blood cell transfusions from female donors who have been pregnant reduces survival in male patients compared to exposure to male donor products, but evidence is not consistent. We postulate the previously observed association is modified by offspring sex, with an expected increased mortality risk for male patients receiving units from female donors with sons. Here, marginal structural models were used to assess the association between exposure to units from ever-pregnant donors, ever-pregnant donors with sons and ever-pregnant donors with daughters, and mortality. Clinical data were collected on first-ever transfusion recipients in the Netherlands and donor data were supplemented with information about offspring sex and date of birth. In this analysis, 56,825 patients were included, of whom 8,288 died during follow-up. Exposure to red blood cell units from everpregnant donors with sons was not associated with increased all-cause mortality risk among male transfusion recipients (hazard ratio [HR] 0.91, 95% confidence interval 0.83-1.01). Exposure to ever-pregnant donors, irrespective of offspring sex, was associated with mortality in male patients aged between 18 and 50 years (ever-pregnant donors: HR 1.81, 95% CI 1.31-2.51) compared to male donor units, but was protective in female patients. This study suggests that the observed increased mortality risk for exposure to red blood cell units from parous female donors does not depend on offspring sex. The increased risk of mortality seen in younger adult male patients is consistent with previous observations, but the underlying biological mechanism could not be identified in this study.
科研通智能强力驱动
Strongly Powered by AbleSci AI