{"title":"捐献者参数和细胞分离器对再生障碍性贫血患者血小板产量的影响及其对校正计数增量的影响。","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":"{\"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}","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}
Effect of donor parameters and cell separators on yield of apheresis platelet and their impact on corrected count increment in aplastic anemia patients.
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.