Kakkar Naveen, John M Joseph, Mathew Amrith
Department of Pathology, Christian Medical College & Hospital, Brown Road, Ludhiana, 141 008 Punjab India.
Clinical Haematology, Haemato-oncology and Bone Marrow (Stem Cell) Transplant Unit, Christian Medical College and Hospital, Ludhiana, 141 008 Punjab India.
Indian J Hematol Blood Transfus. 2015 Mar;31(1):61-7. doi: 10.1007/s12288-014-0367-3. Epub 2014 Apr 2.
Congenital macrothrombocytopenia is being increasingly recognised because of the increasing availability of automated platelet counts during routine complete blood count. If not recognised, these patients may be unnecessarily investigated or treated. The study was done to assess the occurrence of macrothrombocytopenia in the North Indian population and the role of automated platelet parameters in its detection. This prospective study was done on patients whose blood samples were sent for CBC to the hematology laboratory of a tertiary care hospital. Samples were run on Advia-120, a 5-part differential automated analyzer. Routine blood parameters including platelet count, mean platelet volume (MPV), platelet cytogram pattern and platelet flagging was studied along with peripheral blood smear examination. ANOVA was used to compare difference in mean MPV in patients with macrothrombocytopenia, and those with secondary thrombocytopenia and ITP. Seventy five (0.6 %) patients with CBC evaluation were detected to have macrothrombocytopenia, majority (96 %) of North Indian origin. The MPV (fl) in the 75 patients ranged from 10.9 to 23.3 (mean 15.1 ± 3.1 fl) with a dispersed cytogram pattern distinct from that seen in patients with normal platelet count, raised platelet count or low platelets due to secondary thrombocytopenia (MPV-10.9 ± 2.6) or ITP (10.8 ± 3.5). The difference in mean MPV in these patients was statistically significant (p < 0.00001). Macrothrombocytopenia is an under diagnosed condition and may be initially suspected on automated blood counts. Along with a blood smear examination, automated data (MPV and platelet cytogram pattern) aids the diagnosis and can avoid unnecessary investigations and interventions for these patients.
由于在常规全血细胞计数中自动血小板计数的应用越来越广泛,先天性大血小板减少症越来越受到认可。如果未被识别,这些患者可能会接受不必要的检查或治疗。本研究旨在评估印度北部人群中大血小板减少症的发生率以及自动血小板参数在其检测中的作用。这项前瞻性研究针对的是那些将血样送至三级护理医院血液学实验室进行全血细胞计数的患者。样本在Advia - 120五分类自动分析仪上进行检测。研究了包括血小板计数、平均血小板体积(MPV)、血小板细胞图谱模式和血小板标记在内的常规血液参数,并进行了外周血涂片检查。采用方差分析比较大血小板减少症患者、继发性血小板减少症患者和免疫性血小板减少症(ITP)患者的平均MPV差异。在接受全血细胞计数评估的患者中,有75例(0.6%)被检测出患有大血小板减少症,其中大多数(96%)来自印度北部。这75例患者的MPV(飞升)范围为10.9至23.3(平均15.1±3.1飞升),其细胞图谱模式分散,与血小板计数正常、血小板计数升高或因继发性血小板减少症(MPV - 10.9±2.6)或ITP(10.8±3.5)导致血小板减少的患者不同。这些患者的平均MPV差异具有统计学意义(p < 0.00001)。大血小板减少症是一种诊断不足的疾病,最初可能在自动血液计数时被怀疑。除了血液涂片检查外,自动数据(MPV和血小板细胞图谱模式)有助于诊断,并可避免对这些患者进行不必要的检查和干预。