Donor Age and Gender Are the Strongest Predictors of Marrow Recovery from Cadaveric Vertebral Bodies

Author:

Newman Helen12,Reems Jo Anna13,Rigley Theodore H.1,Bravo Daniel1,Strong D. Michael142

Affiliation:

1. Northwest Tissue Center & Puget Sound Blood Center, 921 Terry Avenue, Seattle, WA 98104

2. Department of Orthopaedics, 1959 NE Pacific St., Seattle, WA 98195

3. University of Washington, Division of Medicine Department of Hematology, 1959 NE Pacific St., Seattle, WA 98195

4. University of Washington, Division of Medicine Department of Surgery, 1959 NE Pacific St., Seattle, WA 98195

Abstract

The purpose of this retrospective analysis was to determine whether there were donor factors that were useful for predicting the yield of nucleated cells from marrow derived from cadaveric vertebral bodies. An analysis of 132 donors over a 6-year period was performed. The average number of vertebral bodies procured from each donor was 10.2 ± 1.6 (range 5–14). The total number of nucleated cells recovered per donor ranged from 24 × 109 to 160 × 109 with an average recovery of 69 ± 28 × 109 cells. The cell viability of the recovered cells was >95%. The average age of the donors was 33 ± 14 years (mean ± SD; range 12–65) with an average weight of 169 ± 41 lb (range 82–308 lb). Males comprised 68% of the donor population. The average number of days from admission to death was 1.9 ± 1.7 with a range of 1–11.4 days and the interval between asystole and procurement averaged 3.1 ± 2.3 h (range (0.1–14.7 h). The majority of donors died from head trauma due to an intracranial bleed, gunshot wound, or closed head injury. Regression analysis of the data indicated that the total nucleated cell yield tended to decrease with increasing time between hospital admission and death. The data also indicated that in general female donors yielded lower cell numbers independent of age and male donors under 30 years of age yielded the highest number of cells.

Publisher

SAGE Publications

Subject

Transplantation,Cell Biology,Biomedical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3