Effect of donor parameters and cell separators on yield of apheresis platelet and their impact on corrected count increment in aplastic anemia patients.
{"title":"Effect of donor parameters and cell separators on yield of apheresis platelet and their impact on corrected count increment in aplastic anemia patients.","authors":"Anubha Srivastava, Brijesh Kumar Yadav, Indranil Das, Rahul Katharia, Rajendra K Chaudhary, Pallavi Rani, Atul Priyadarshi","doi":"10.4103/ajts.ajts_146_22","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The new cell separators make it simple to collect single donor platelets (SDP), although the platelet yield may vary depending on the cell separator used and donor-related clinical and laboratory variables.</p><p><strong>Aims: </strong>This study aims to study the factors affecting SDP yield and corrected count increment (CCI).</p><p><strong>Materials and methods: </strong>This retrospective study was carried out at a tertiary care facility in northern India, over 4 years (May 2017-April 2020), data were retrieved and analyzed.</p><p><strong>Statistical analysis: </strong>Categorical variables were presented as proportions, while continuous variables were presented as mean with standard deviation, <i>P</i> < 0.05 was considered significant.</p><p><strong>Results: </strong>We found a positive correlation between predonation platelet count and yield (<i>r</i> = 0.243, <i>P</i> = 0.000). No such significant correlation was found with Hb concentration (<i>r</i> = 0.025, <i>P</i> = 0.720), age (<i>r</i> = 0.016, <i>P</i> = 0.820), sex (<i>r</i> = -0.038, <i>P</i> = 0.584), and weight (<i>r</i> = -0.025, <i>P</i> = 0.714). Maximum platelet yield and minimum time were seen with Trima. Only 39.3% (33/84) meet the 24 h CCI. The majority of patients did not meet the desired CCI could be due to the patients' clinical condition. On logistic regression, we found a significant association of 24 h CCI with product yield (odds ratio [OR] = 0.168, <i>P</i> = 0.015) and posttransfusion platelet count (OR = 0.454, <i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>The only donor-related factor that influences yield is predonation platelet count, whereas 24 h CCI may depend on the clinical status of the patient and yield.</p>","PeriodicalId":42296,"journal":{"name":"Asian Journal of Transfusion Science","volume":"17 2","pages":"246-250"},"PeriodicalIF":0.6000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10807526/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Transfusion Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ajts.ajts_146_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/5/11 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The new cell separators make it simple to collect single donor platelets (SDP), although the platelet yield may vary depending on the cell separator used and donor-related clinical and laboratory variables.
Aims: This study aims to study the factors affecting SDP yield and corrected count increment (CCI).
Materials and methods: This retrospective study was carried out at a tertiary care facility in northern India, over 4 years (May 2017-April 2020), data were retrieved and analyzed.
Statistical analysis: Categorical variables were presented as proportions, while continuous variables were presented as mean with standard deviation, P < 0.05 was considered significant.
Results: We found a positive correlation between predonation platelet count and yield (r = 0.243, P = 0.000). No such significant correlation was found with Hb concentration (r = 0.025, P = 0.720), age (r = 0.016, P = 0.820), sex (r = -0.038, P = 0.584), and weight (r = -0.025, P = 0.714). Maximum platelet yield and minimum time were seen with Trima. Only 39.3% (33/84) meet the 24 h CCI. The majority of patients did not meet the desired CCI could be due to the patients' clinical condition. On logistic regression, we found a significant association of 24 h CCI with product yield (odds ratio [OR] = 0.168, P = 0.015) and posttransfusion platelet count (OR = 0.454, P < 0.05).
Conclusion: The only donor-related factor that influences yield is predonation platelet count, whereas 24 h CCI may depend on the clinical status of the patient and yield.