Al-Haggar Mohammad, Al-Marsafawy Hala, Abdel-Razek Nabeel, Al-Baz Rizk, Mostafa Abdel-Hamid
Paediatrics Department, Faculty of Medicine, Mansoura University, Mansoura, Eygpt.
Int J Hematol. 2006 Apr;83(3):224-8. doi: 10.1532/IJH97.A20518.
The objective of this study was to predict which infants with sickle cell disease (SCD) are prone to develop severe painful crises. In a mixed hospital - and community-based population (76 cases), demographic data, SCD diagnostic parameters, and basal blood counts were correlated with 2 indices of SCD severity: pain rate (average number of days of painful episodes per year of follow-up) and serious life-threatening complications, such as hyperhemolytic crises. Data were analyzed blind to these indices. The Student t test, analysis of variance, and Pearson correlation were used to determine association with pain rate. Discriminant analysis was used for the prediction of SCD severity. Pain rate was significantly high in hemoglobin SS patients, especially in those with an early onset of dactylitis. There were statistically significant negative correlations of pain rate with basal hemoglobin level, hematocrit, percent hemoglobin F, and arterial oxygen saturation (P <.01 for all correlations). The top 3 predictors of SCD severity were (in descending order) genotype, basal hemoglobin level, and early dactylitis. Severe forms of SCD could be predicted in early infancy with 100% accuracy by using the basal diagnostic parameters for the disease. These infants should be closely monitored with special attention to ventilation status, even before the development of dactylitis.
本研究的目的是预测哪些镰状细胞病(SCD)婴儿容易发生严重疼痛性危机。在一个以医院和社区为基础的混合人群(76例)中,人口统计学数据、SCD诊断参数和基础血细胞计数与SCD严重程度的2个指标相关:疼痛率(随访每年疼痛发作的平均天数)和严重危及生命的并发症,如高溶血性危机。对这些指标进行盲法数据分析。采用Student t检验、方差分析和Pearson相关性分析来确定与疼痛率的关联。判别分析用于预测SCD严重程度。血红蛋白SS患者的疼痛率显著较高,尤其是那些早期发生指(趾)炎的患者。疼痛率与基础血红蛋白水平、血细胞比容、血红蛋白F百分比和动脉血氧饱和度呈显著负相关(所有相关性P<.01)。SCD严重程度的前3个预测因素(按降序排列)为基因型、基础血红蛋白水平和早期指(趾)炎。通过使用该疾病的基础诊断参数,可在婴儿早期以100%的准确率预测SCD的严重形式。即使在指(趾)炎发生之前,也应对这些婴儿进行密切监测,并特别关注通气状况。