MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1111/trf.17579

Медицинская библиотека · Transfusion · 2023

Large-scale real-world data analysis of source plasma collections using a novel technology-enabled nomogram.

Hellman Eva, Manukyan Zorayr, Mkhitaryan Karen, Heidarsdottir Karen, Ragusa Michael J, Hartmann Jan

СтатьяПеревод пока не подготовлен

Аннотация

BACKGROUND

Source plasma collections are needed to satisfy the growing demand for plasma-derived medicinal products. The US plasma collection target volume has been guided by a standard weight-based FDA-issued nomogram (STAN) since 1992. In this research, large-scale US-based real-world data (RWD) were analyzed to confirm the safety and volume gains of a newly introduced personalized nomogram (PERS) that was previously studied in a premarket randomized controlled environment.

STUDY DESIGN AND

METHODS

A non-inferiority (NI) analysis was conducted to compare the novel nomogram's significant hypotensive adverse event (AE) incidence rate with large historical standard nomogram AE datasets. Additionally, the average target volumes and donor return rates were compared for collections following PERS and STAN.

RESULTS

A total of 4,816,784 donations (PERS) by 414,957 donors resulted in a rate of 0.0998% (95% CI [0.0970, 0.1027]) significant hypotensive AEs. NI analysis suggested strong non-inferiority of the new technology (Δ = -0.0082%, 95% CI [-0.0113, -0.0050], prespecified NI margin = 0.1080). Average plasma collection target volumes increased by 66.39 mL (8.49%; p < .0001). Consecutive weekly donor return rates were consistent between the two nomograms (PERS: 73.6%, 95% CI [69.6%-76.7%]; STAN: 74.1%, 95% CI [66.1%-77.2%]).

DISCUSSION: This analysis confirms in a large-scale real-world dataset the key safety parameter and collection benefit of a novel, technology-enabled nomogram. The nomogram may help meet the growing demand for plasma-derived therapies by providing approximately 8.5% more plasma per donation on average while maintaining donor safety and return rates.

Для цитирования: Hellman Eva, Manukyan Zorayr, Mkhitaryan Karen, Heidarsdottir Karen, Ragusa Michael J, Hartmann Jan. Large-scale real-world data analysis of source plasma collections using a novel technology-enabled nomogram.. Transfusion. 2023. DOI: 10.1111/trf.17579.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.