Diagnostic predictive value of platelet indices for discriminating hypo productive versus immune thrombocytopenia purpura in patients attending a tertiary care teaching hospital in Addis Ababa, Ethiopia.

Q2 Medicine
BMC Hematology Pub Date : 2016-07-01 eCollection Date: 2016-01-01 DOI:10.1186/s12878-016-0057-5
Mikias Negash, Aster Tsegaye, Amha G/Medhin
{"title":"Diagnostic predictive value of platelet indices for discriminating hypo productive versus immune thrombocytopenia purpura in patients attending a tertiary care teaching hospital in Addis Ababa, Ethiopia.","authors":"Mikias Negash,&nbsp;Aster Tsegaye,&nbsp;Amha G/Medhin","doi":"10.1186/s12878-016-0057-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Bone marrow examination may be required to discriminate causes of thrombocytopenia as hypoproductive or hyperdestructive. However, this procedure is invasive and time consuming. This study assessed the diagnostic value of Mean Platelet Volume (MPV), Platelet Distribution Width (PDW) and Platelet Large Cell-Ratio (P-LCR) in discriminating causes of thrombocytopenia as hypoproductive or hyperdestructive (Immune thrombocytopenia purpura).</p><p><strong>Method: </strong>A prospective cross-sectional study was conducted on 83 thrombocytopenic patients (Plt < 150 × 10(9)/L). From these, 50 patients had hypoproductive and the rest 33 Immune Thrombocytopenia Purpura (ITP). Age and sex matched 42 healthy controls were included as a comparative group. Hematological analysis was carried out using Sysmex XT 2000i 5 part diff analyzer. SPSS Version16 was used for data analysis. A two by two table and receiver operating characteristic (ROC) curve was used to calculate sensitivity, specificity, positive and negative predictive values, for a given platelet indices (MPV, PDW and P-LCR). Student t test and Mann Whitney U test were used to compare means and medians, respectively. Correlation test was used to determine associations between continuous variables.</p><p><strong>Results: </strong>All Platelet indices were significantly higher in ITP patients (n = 33) than in hypoproductive thrombocytopenic patients (n = 50) (p < 0.0001). In particular MPV and P-LCR have larger area under ROC curve (0.876 and 0.816, respectively), indicating a better predictive capacity, sensitivity and specificity in discriminating the two causes of thrombocytopenia. The indices were still significantly higher in ITP patients compared to 42 healthy controls (p < 0.0001). A significant negative correlation was observed between platelet count and platelet indices in ITP patients, (p < 0.001).</p><p><strong>Conclusion: </strong>MPV, PDW and P-LCR help in predicting thrombocytopenic patients as having ITP or hypoproductive thrombocytopenia. If these indices are used in line with other laboratory and clinical information, they may help in delaying/ avoiding unnecessary bone marrow aspiration in ITP patients or supplement a request for bone morrow aspiration or biopsy in hypoproductive thrombocytopenic patients.</p>","PeriodicalId":37740,"journal":{"name":"BMC Hematology","volume":"16 ","pages":"18"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12878-016-0057-5","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Hematology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12878-016-0057-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2016/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 39

Abstract

Background: Bone marrow examination may be required to discriminate causes of thrombocytopenia as hypoproductive or hyperdestructive. However, this procedure is invasive and time consuming. This study assessed the diagnostic value of Mean Platelet Volume (MPV), Platelet Distribution Width (PDW) and Platelet Large Cell-Ratio (P-LCR) in discriminating causes of thrombocytopenia as hypoproductive or hyperdestructive (Immune thrombocytopenia purpura).

Method: A prospective cross-sectional study was conducted on 83 thrombocytopenic patients (Plt < 150 × 10(9)/L). From these, 50 patients had hypoproductive and the rest 33 Immune Thrombocytopenia Purpura (ITP). Age and sex matched 42 healthy controls were included as a comparative group. Hematological analysis was carried out using Sysmex XT 2000i 5 part diff analyzer. SPSS Version16 was used for data analysis. A two by two table and receiver operating characteristic (ROC) curve was used to calculate sensitivity, specificity, positive and negative predictive values, for a given platelet indices (MPV, PDW and P-LCR). Student t test and Mann Whitney U test were used to compare means and medians, respectively. Correlation test was used to determine associations between continuous variables.

Results: All Platelet indices were significantly higher in ITP patients (n = 33) than in hypoproductive thrombocytopenic patients (n = 50) (p < 0.0001). In particular MPV and P-LCR have larger area under ROC curve (0.876 and 0.816, respectively), indicating a better predictive capacity, sensitivity and specificity in discriminating the two causes of thrombocytopenia. The indices were still significantly higher in ITP patients compared to 42 healthy controls (p < 0.0001). A significant negative correlation was observed between platelet count and platelet indices in ITP patients, (p < 0.001).

Conclusion: MPV, PDW and P-LCR help in predicting thrombocytopenic patients as having ITP or hypoproductive thrombocytopenia. If these indices are used in line with other laboratory and clinical information, they may help in delaying/ avoiding unnecessary bone marrow aspiration in ITP patients or supplement a request for bone morrow aspiration or biopsy in hypoproductive thrombocytopenic patients.

Abstract Image

Abstract Image

Abstract Image

血小板指数在埃塞俄比亚亚的斯亚贝巴三级保健教学医院鉴别低生产性血小板减少性紫癜与免疫性血小板减少性紫癜的诊断预测价值。
背景:骨髓检查可能需要区分血小板减少症的原因为低生产或高破坏性。然而,这个过程是侵入性的和耗时的。本研究评估了血小板平均体积(MPV)、血小板分布宽度(PDW)和血小板大细胞比(P-LCR)在鉴别血小板减少症(低生成性或高破坏性(免疫性血小板减少性紫癜))病因中的诊断价值。方法:对83例血小板减少患者(Plt)进行前瞻性横断面研究。结果:血小板减少患者(n = 33)的所有血小板指标均显著高于血小板减少患者(n = 50)。结论:MPV、PDW和p - lcr有助于预测血小板减少患者是否患有血小板减少或血小板减少症。如果这些指标与其他实验室和临床信息一致使用,它们可能有助于延迟/避免ITP患者不必要的骨髓穿刺,或补充对血小板减少患者进行骨髓穿刺或活检的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Hematology
BMC Hematology Medicine-Hematology
CiteScore
4.10
自引率
0.00%
发文量
0
期刊介绍: BMC Hematology is an open access, peer-reviewed journal that considers articles on basic, experimental and clinical research related to hematology. The journal welcomes submissions on non-malignant and malignant hematological diseases, hemostasis and thrombosis, hematopoiesis, stem cells and transplantation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信