红细胞参数联合铁蛋白检测在缺铁性贫血诊断中的应用分析

• 作 者: 于奇
• 机 构: 辽宁省健康产业集团阜新矿总医院检验科，辽宁 阜新 123000
• 出 处: 中国医药指南
• 发表日期: 2021年36期
• 关键词: MCV MCH MCHC RDW red blood cell parameters Ferritin Iron deficiency anemia Clini

目的 分析红细胞参数联合铁蛋白(serumferritsn，SF)检测对缺铁性贫血(irondeficiencyanemia，IDA)诊断的临床应用价值?方法 选择2010年1月至2019年10月126例IDA患者?80例巨幼红细胞性贫血(megaloblasticanemia，MA)患者及114例健康志愿者作为研究对象，分别设为IDA组?MA组及正常对照组?均检测红细胞平均体积(meancorpuscularvolume，MCV)?红细胞平均血红蛋白量(meancorpuscularhemoglobin“,”Objective To analyze the clinical application value of red blood cell parameters combined with serum ferritsn (SF) in the diagnosis of iron deficiency anemia (IDA). Methods From January 2010 to October 2019， 126 patients with IDA， 80 patients with megaloblastic anemia (MA) and 114 healthy volunteers were selected as the research objects， and they were set as the IDA group， MA group and Normal control group. Mean corpuscular volume (MCV)， mean corpuscular hemoglobin (MCH)， mean corpuscular hemoglobin concentration (MCHC)， red blood cell distribution width (RDW) and SF level. Results Compared with the normal control group， the MCV， MCH， MCHC， RDW and SF of the IDA group were significantly reduced;compared with the MA group， the MCV， MCH， MCHC， RDW and SF of the IDA group were also significantly reduced， and the differences were statistically significant (P<0.05). The sensitivity of MCV to IDA is 95.20%， the specificity is 59.80%， the positive predictive value is 60.60%， the negative predictive value is 95.10%， and the accuracy is 73.80%;the sensitivity of MCH to IDA is 98.40% and the specificity is 60.80%， positive predictive value of 62.00%， negative predictive value of 98.30%， accuracy of 75.90%;sensitivity of MCHC to IDA is 96.80%， specificity of 90.70%， positive predictive value of 87.10%， negative predictive value of 97.80%， accuracy is 93.10%;sensitivity of RDW to IDA is 100.00%， specificity is 92.80%， positive predictive value is 90.0%， negative predictive value is 100. 00%， accuracy is 95.60%;sensitivity of SF to IDA It is 68.30%， specificity is 81.40%， positive predictive value is 70.50%， negative predictive value is 80.00%， accuracy is 76.30%;the sensitivity of combined detection to IDA is 100.00%， specificity is 78.40%， positive predictive value It is 75.00%， the negative predictive value is 100.00%， and the accuracy is 86.90%. Conclusion Red blood cell parameters， especially MCHC and RDW， are of great value for the diagnosis and differential diagnosis of IDA， while the sensitivity of SF is not good;the combined detection has high sensitivity and high accuracy.