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 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. 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.
Child abuse is one of the medico-legal issues a physician may face during his/her clinical practice. It has devastating effects on both the child and family, especially psychological. If falsely identified as a child abuse case, it could result in detrimental consequences. Therefore, physicians must recognise and be able to rule out child abuse mimickers, which are often conditions that are mistakenly confused with true physical child abuse. Injuries like bruises and burns are common presentations and therefore it is important to consider cutaneous abuse mimics to avoid incorrect diagnosis of child abuse. This review article sheds light on the most common cutaneous conditions that can mimic physical child abuse, where patients present with patterns of various skin lesions that raise a suspicion of child abuse.
Peripheral arterial disease (PAD) is a common disease with multiple risk factors and affects patients worldwide. Several international studies have established correlations between anatomical topography/distribution of atherosclerosis and comorbidities in patients with PAD. In this cohort study, we aimed to analyze the patterns of atherosclerosis (site, distribution, and degree) in patients who underwent lower limb computed tomography angiography and arterial angiography by identifying the atherosclerotic plaque(s) that were possibly responsible for thrombi. Additionally, we aimed to determine any relationship between comorbidities and identified patterns. Patients and Methods: Between January 2015 and January 2021, we retrospectively recruited 140 patients at King Fahd Hospital of the University of Saudi Arabia. Data collected included patient characteristics, risk factors, and metabolic disorders, such as hypertension (HTN), diabetes mellitus (DM), dyslipidemia, and chronic kidney disease. Patients with incomplete records or unavailable radiological images were excluded. Results: The infrapopliteal territory was the most common segment that was affected. HTN, DM, and dyslipidemia were found in 81.4%, 77.9%, and 62.9% of patients, respectively. Correlation analyses revealed that DM was the only independent metabolic disorder associated with a PAD distribution pattern in the femoropopliteal segment (p=0.039), thus denoting distal involvement. No significant association was found between PAD distribution and the severity of stenosis. Conclusion: Segmental involvement in PAD varies with the risk factors and metabolic comorbidities present in patients. DM is an independent predictor of the anatomical distribution of PAD. The identification of such an anatomical distribution is paramount for screening procedures, early detection of disease, and prevention of complications, particularly limb amputation.
OBJECTIVES: To epidemiologically assess the influence of COVID-19 pandemic on newly diagnosed type 1 diabetes mellitus presenting with diabetic ketoacidosis at the teaching hospital of the university, Eastern province, Saudi Arabia. METHODS: We enrolled newly diagnosed type 1 diabetes mellitus cases among pediatric patients attending the emergency department and outpatient clinics during 2019-2021. The participants' data were collected from electronic medical records which included patients' age at diagnosis, sex, nationality, height, weight, year of diagnosis, length of stay, presentation, random blood sugar, blood gas readings, electrolyte panel, and time of resolution of the diabetic ketoacidosis if present. RESULTS: 108 patients were included with an average age of 8.87 ± 4.21 years and 53.70% were females. The demographic characteristics of all diabetic pediatric patients prior to COVID-19 and during COVID-19 were studied and the difference was statistically insignificant. Furthermore, initial pH and HCO3 tests were found to be lower in the moderate to severe diabetic ketoacidosis group (7.17 and 11.2, respectively) compared to the mild group (7.27 and 15.50, respectively) and the differences were statically significant (P < 0.001). CONCLUSION: Patients newly diagnosed with type 1 diabetes mellitus during the COVID-19 pandemic tended to have a more severe presentation of diabetic ketoacidosis in terms of PH and HCO3.
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