Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.
Pediatr Diabetes. 2021 Feb;22(1):8-14. doi: 10.1111/pedi.13009. Epub 2020 Apr 6.
Incidence of youth-onset diabetes in India has not been well described. Comparison of incidence, across diabetes registries, has the potential to inform hypotheses for risk factors. We sought to compare the incidence of diabetes in the U.S.-based registry of youth onset diabetes (SEARCH) to the Registry of Diabetes with Young Age at Onset (YDR-Chennai and New Delhi regions) in India.
We harmonized data from both SEARCH and YDR to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Data were from youth registered with incident diabetes (2006-2012). Denominators were from census and membership data. We calculated diabetes incidence by averaging the total cases across the entire follow-up period and dividing this by the estimated census population corresponding to the source population for case ascertainment. Incidence was calculated for each of the registries and compared by type and within age and sex categories using a 2-sided, skew-corrected inverted score test.
Incidence of type 1 was higher in SEARCH (21.2 cases/100 000 [95% CI: 19.9, 22.5]) than YDR (4.9 cases/100 000 [95% CI: 4.3, 5.6]). Incidence of type 2 diabetes was also higher in SEARCH (5.9 cases/100 000 [95% CI: 5.3, 6.6] in SEARCH vs 0.5/cases/100 000 [95% CI: 0.3, 0.7] in YDR). The age distribution of incident type 1 diabetes cases was similar across registries, whereas type 2 diabetes incidence was higher at an earlier age in SEARCH. Sex differences existed in SEARCH only, with a higher rate of type 2 diabetes among females.
The incidence of youth-onset type 1 and 2 diabetes was significantly different between registries. Additional data are needed to elucidate whether the differences observed represent diagnostic delay, differences in genetic susceptibility, or differences in distribution of risk factors.
印度青年发病型糖尿病的发病率尚未得到充分描述。对不同糖尿病登记处的发病率进行比较,可能有助于为危险因素假说提供信息。我们旨在比较美国青年发病型糖尿病登记处(SEARCH)和印度青年发病型糖尿病登记处(Chennai 和新德里地区)的糖尿病发病率。
我们将 SEARCH 和 YDR 的数据与观察医疗结果合作组织(OMOP)通用数据模型进行了协调。数据来自 2006 年至 2012 年间登记的患有初发性糖尿病的青少年。分母来自人口普查和成员数据。我们通过在整个随访期间平均计算总病例数,并将其除以与病例确定源人群相对应的估计人口普查人数来计算糖尿病发病率。我们为每个登记处计算了发病率,并通过使用双侧、偏斜校正的倒置得分检验,按类型和年龄和性别类别进行了比较。
SEARCH 中 1 型糖尿病的发病率(21.2 例/100000[95%CI:19.9,22.5])高于 YDR(4.9 例/100000[95%CI:4.3,5.6])。SEARCH 中 2 型糖尿病的发病率也更高(SEARCH 中为 5.9 例/100000[95%CI:5.3,6.6],而 YDR 中为 0.5 例/100000[95%CI:0.3,0.7])。两个登记处的 1 型糖尿病发病年龄分布相似,而 SEARCH 中 2 型糖尿病的发病年龄更早。仅在 SEARCH 中存在性别差异,女性 2 型糖尿病发病率更高。
两个登记处的青年发病型 1 型和 2 型糖尿病的发病率有显著差异。需要更多的数据来阐明观察到的差异是否代表诊断延迟、遗传易感性差异还是危险因素分布差异。