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The Impact of COVID-19 Lockdown on the Incidence of Type 1 DM and the Glycemic Control of Diabetic Children: Findings from a Teaching Hospital, Saudi Arabia

OBJECTIVE: 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 durin...

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Detalles Bibliográficos
Autores principales: Al-Qahtani, Mohammad Hussain, Bukhamseen, Fatimah Mousa, Al-Qassab, Aqilah Taleb, Yousef, Abdullah Abdulsalam, Awary, Bassam Hassan, Albuali, Waleed Hamad, Alkhalifa, Zainab Mohammed, Yousef, Haneen Abdulsalam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SBDR - Society for Biomedical Diabetes Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652708/
https://www.ncbi.nlm.nih.gov/pubmed/36309774
http://dx.doi.org/10.1900/RDS.2022.18.152
Descripción
Sumario:OBJECTIVE: 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. METHODS: 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 20172021. 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. RESULTS: 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]. CONCLUSIONS: 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.