Patel Riddhi, Dave Chetankumar, Agarwal Neha, Mendpara Hemangkumar, Shukla Rishi, Bajpai Anurag
Department of Pediatric Endocrinology, Regency Center for Diabetes Endocrinology and Research, Kanpur and GROW Society, Growth and Obesity Workforce, Kanpur, India.
Department of Pediatric Endocrinology, Regency Center for Diabetes Endocrinology and Research, Kanpur and Department of Pediatric Critical Care, Kanpur, India.
Indian Pediatr. 2021 Feb 15;58(2):149-151.
To compare the diagnostic accuracy of IAP 2015, WHO and IAP 2007 growth charts in identifying pathological short stature in Indian children.
The predictive value of the growth charts for pathological short stature was assessed in 500 (266 boys) short subjects (age 5-17.9 years) presenting to our pediatric endocrine clinic.
WHO, IAP 2015, IAP 2007 criteria classified 500, 410 (82%) and 331 (66.2%) subjects short respectively. A total of 218 (43.6%) subjects had a pathological cause. Two out of 90 subjects short by WHO criteria but normal as per IAP 2015 had a pathological cause (2.2%) whereas 38 out of 79 subjects short as per WHO and IAP 2015 criteria but normal by IAP 2007 had pathological short stature. The diagnostic measures of IAP 2015 and IAP 2007 charts in identifying pathological short stature showed a sensitivity 99.1% and 81.7%, negative predictive value 97.8% as against 76.3%, positive predictive value 52.7% and 53.8%, and specificity of 31.2% and 45.7%, respectively.
IAP 2015 growth charts are superior in identifying pathological growth failure compared to WHO and IAP 2007.
比较2015年国际儿科协会(IAP)、世界卫生组织(WHO)和2007年IAP生长曲线在识别印度儿童病理性身材矮小方面的诊断准确性。
对前来我们儿科内分泌门诊就诊的500名(266名男孩)身材矮小受试者(年龄5 - 17.9岁)评估生长曲线对病理性身材矮小的预测价值。
WHO、2015年IAP、2007年IAP标准分别将500名、410名(82%)和331名(66.2%)受试者判定为身材矮小。共有218名(43.6%)受试者存在病理性病因。按照WHO标准判定为身材矮小但根据2015年IAP标准正常的90名受试者中有2名存在病理性病因(2.2%),而按照WHO和2015年IAP标准判定为身材矮小但根据2007年IAP标准正常的79名受试者中有38名存在病理性身材矮小。2015年IAP和2007年IAP生长曲线在识别病理性身材矮小方面的诊断指标显示,敏感性分别为99.1%和81.7%,阴性预测值分别为97.8%和76.3%,阳性预测值分别为52.7%和53.8%,特异性分别为31.2%和45.7%。
与WHO和2007年IAP相比,2015年IAP生长曲线在识别病理性生长发育迟缓方面更具优势。