1. Geographic variations in the incidence of congenital hypothyroidism in China: a retrospective study based on 92 million newborns screened in 2013-2018
- Author
-
Yong-Na Yao, Xue-Lian Yuan, Jun Zhu, Liang-Cheng Xiang, Qi Li, Kui Deng, Xiao-Hong Li, Han-Min Liu, and Yuan-Yuan Ji
- Subjects
Mainland China ,Newborn screening ,China ,medicine ,Cluster Analysis ,Humans ,Retrospective Studies ,Geographic mapping ,Spatial Analysis ,Incidence (epidemiology) ,Incidence ,Infant, Newborn ,Retrospective cohort study ,General Medicine ,Original Articles ,medicine.disease ,Confidence interval ,Congenital hypothyroidism ,Geography ,Relative risk ,Medicine ,Demography - Abstract
Background:. Although congenital hypothyroidism (CH) has been widely studied in Western countries, CH incidence at different administrative levels in China during the past decade remains unknown. This study aimed to update the incidence and revealed the spatial pattern of CH incidence in the mainland of China, which could be helpful in the planning and implementation of preventative measures. Methods:. The data used in our study were derived from 245 newborns screening centers that cover 30 provinces of the Chinese Newborn Screening Information System. Spatial auto-correlation was analyzed by Global Moran I and Getis-Ord Gi statistics at the provincial level. Kriging interpolation methods were applied to estimate a further detailed spatial distribution of CH incidence at city level throughout the mainland of China, and Kulldorff space scanning statistical methods were used to identify the spatial clusters of CH cases at the city level. Results:. A total of 91,921,334 neonates were screened from 2013 to 2018 and 42,861 cases of primary CH were identified, yielding an incidence of 4.66 per 10,000 newborns screened (95% confidence interval [CI]: 4.62–4.71). Neonates in central (risk ratio [RR] = 0.84, 95% CI: 0.82–0.85) and western districts (RR = 0.71, 95% CI: 0.69–0.73) had lower probability of CH cases compared with the eastern region. The CH incidence indicated a moderate positive global spatial autocorrelation (Global Moran I value = 0.394, P
- Published
- 2021