Department of Pediatrics, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Rev Diabet Stud. 2022 Sep 28;18(3):152-156. doi: 10.1900/RDS.2022.18.152.
We evaluated glycemic control among T1DM pediatric patients attending the endocrinology pediatrics clinics at King Fahd Hospital of the University (KFHU) prior to and during COVID-19 restraining regulations. In addition, we assessed the trends and variations in the incidence of T1DM during 2017-2021, including the COVID-19 years by identifying newly diagnosed patients presenting to pediatrics emergency department (ED) in KFHU. To estimate the effect of COVID-19 on the incidence of T1DM, we identified newly diagnosed cases of T1DM among pediatric patients attending the ED during the years 2017- 2021. The participants' data were collected through electronic medical records. Information collected included patient age, sex, and HbA1c readings. Three HbA1c readings of interest that were defined and collected are pre-COVID reading, in-COVID reading, and post-COVID reading. The difference of female participants' readings was statistically non-significant (Z= -0.416, p = 0.678), with a pre- and post-COVID median of 10.70 (Q1= 9.00, Q3= 12.15), and 10.50 (Q1= 8.80, Q3= 12.35), respectively. In contrast, the difference was statistically significant among male participants (Z= -2.334, p = 0.02), with a pre- and post-COVID median of 10.20 (Q1= 8.70, Q3= 11.80), and 10.65 (Q1= 9.00, Q3= 12.70), respectively. There was a statistically significant increase in HbA1c of persons > 11 years old (Z= -2.471, p= 0.013), with a pre- and post-COVID median of 10.40 (Q1= 9.00, Q3= 12.10), and 10.90 (Q1= 9.00, Q3= 12.60), respectively. Conversely, persons ≤ 11 years old showed no statistically significant change in HbA1c (Z= -.457, p= 0.648), with a pre- and post-COVID median of 10.45 (Q1= 8.70, Q3= 11.85), and 10.20 (Q1= 8.40, Q3= 12.075), respectively. Disregarding any influence of time, the effect of sex showed no statistically significant difference in HbA1c between males and females [F (1,125) = 0.008, p = 0.930]. Meanwhile, the age effect on HbA1c, regardless of time influence, was statistically significant [F (1,125) = 4.993, p = 0.027]. There was no statistically significant interaction between time and sex on HbA1c levels [F (1.74, 217) = 0.096, p = 0.883] and between age and time [F (3.92,289.57) = 1.693, p = 0.190]. The number of visits to healthcare facilities dropped significantly during the COVID-19 pandemic, but the rate of newly diagnosed T1DM increased. There was a variable effect on HbA1c levels of those patients, which suggests that each demographic group in the population might have been affected differently by the pandemic. Future research should determine factors associated with better glycemic control and measures to sustain these changes the pandemic might have created.
我们评估了在 COVID-19 限制措施实施之前和期间,在 King Fahd 大学医院(KFHU)内分泌儿科诊所就诊的 T1DM 儿科患者的血糖控制情况。此外,我们评估了 2017-2021 年期间 T1DM 的发病率趋势和变化,包括通过识别在 KFHU 儿科急诊部(ED)就诊的新诊断患者来确定 COVID-19 年的发病率。为了估计 COVID-19 对 T1DM 发病率的影响,我们确定了在 2017-2021 年期间在 ED 就诊的儿科患者中新诊断为 T1DM 的病例。参与者的数据通过电子病历收集。收集的信息包括患者年龄、性别和 HbA1c 读数。我们定义并收集了三个感兴趣的 HbA1c 读数,分别是 COVID-19 前读数、COVID-19 内读数和 COVID-19 后读数。女性参与者的读数差异在统计学上无显著性(Z=-0.416,p=0.678),COVID-19 前和后中位数分别为 10.70(Q1=9.00,Q3=12.15)和 10.50(Q1=8.80,Q3=12.35)。相比之下,男性参与者的差异在统计学上有显著性(Z=-2.334,p=0.02),COVID-19 前和后中位数分别为 10.20(Q1=8.70,Q3=11.80)和 10.65(Q1=9.00,Q3=12.70)。11 岁以上人群的 HbA1c 有显著升高(Z=-2.471,p=0.013),COVID-19 前和后中位数分别为 10.40(Q1=9.00,Q3=12.10)和 10.90(Q1=9.00,Q3=12.60)。相反,11 岁以下人群的 HbA1c 没有显著变化(Z=-0.457,p=0.648),COVID-19 前和后中位数分别为 10.45(Q1=8.70,Q3=11.85)和 10.20(Q1=8.40,Q3=12.075)。忽略时间的任何影响,性别对男性和女性的 HbA1c 没有统计学上的显著差异[F(1,125)=0.008,p=0.930]。同时,年龄对 HbA1c 的影响,无论时间的影响如何,在统计学上都是显著的[F(1,125)=4.993,p=0.027]。HbA1c 水平的时间和性别的相互作用没有统计学意义[F(1.74,217)=0.096,p=0.883]和年龄和时间的相互作用[F(3.92,289.57)=1.693,p=0.190]。在 COVID-19 大流行期间,前往医疗机构的就诊次数显著下降,但新诊断为 T1DM 的人数增加。这些患者的 HbA1c 水平有不同的变化,这表明人群中的每个群体可能受到大流行的不同影响。未来的研究应确定与更好的血糖控制相关的因素,并采取措施维持大流行可能带来的这些变化。