Incidence of diabetic ketoacidosis during COVID-19 pandemic: a meta-analysis of 124,597 children with diabetes.

BACKGROUND: Diabetic ketoacidosis (DKA) is a potentially life-threatening complication of type 1 diabetes mellitus (T1DM) that has increased during the COVID-19 pandemic. This study will not only shed light on such life-threatening complications but also be a step to increase the awareness of healthcare providers about such complications in the upcoming pandemic waves and increased dependence on telemedicine. Thus, we aimed to further investigate the increase of DKA in pediatrics. METHODS: PubMed, Web of Science, and Scopus were broadly searched for studies assessing the incidence of DKA in pediatrics during the COVID-19 pandemic. RESULTS: Our study included 24 papers with a total of 124,597 children with diabetes. A statistically significant increase occurred in the risk of DKA among newly diagnosed T1DM patients during the pandemic (RR 1.41; 95% CI 1.19, 1.67; p < 0.01; I2 = 86%), especially in the severe form of DKA (RR 1.66: 95% CI 1.3, 2.11) when compared to before. CONCLUSION: DKA in newly diagnosed children with T1DM has increased during the pandemic and presented with a severe form. This may reflect that COVID-19 may have contributed not only to the development but also the severity of DKA. IMPACT: Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 diabetes mellitus (T1DM) that has increased during the COVID-19 pandemic. Our study included 25 papers with a total of 124,597 children with diabetes. A statistically significant increase occurred in the risk of DKA among newly diagnosed T1DM patients during the pandemic. Our findings reflect that COVID-19 may have an altered presentation in T1DM and can be related to DKA severity.

Parental perceptions and the 5C psychological antecedents of COVID-19 vaccination during the first month of omicron variant surge: A large-scale cross-sectional survey in Saudi Arabia.

Background: With the rapid surge of SARS-CoV-2 Omicron variant, we aimed to assess parents' perceptions of the COVID-19 vaccines and the psychological antecedents of vaccinations during the first month of the Omicron spread. Methods: A cross-sectional online survey in Saudi Arabia was conducted (December 20, 2021-January 7, 2022). Convenience sampling was used to invite participants through several social media platforms, including WhatsApp, Twitter, and email lists. We utilized the validated 5C Scale, which evaluates five psychological factors influencing vaccination intention and behavior: confidence, complacency, constraints, calculation, and collective responsibility. Results: Of the 1,340 respondents, 61.3% received two doses of the COVID-19 vaccine, while 35% received an additional booster dose. Fify four percentage were unwilling to vaccinate their children aged 5-11, and 57.2% were unwilling to give the additional booster vaccine to children aged 12-18. Respondents had higher scores on the construct of collective responsibility, followed by calculation, confidence, complacency, and finally constraints. Confidence in vaccines was associated with willingness to vaccinate children and positively correlated with collective responsibility (p < 0.010). Complacency about COVID-19 was associated with unwillingness to vaccinate older children (12-18 years) and with increased constraints and calculation scores (p < 0.010). While increasing constraints scores did not correlate with decreased willingness to vaccinate children (p = 0.140), they did correlate negatively with confidence and collective responsibility (p < 0.010). Conclusions: The findings demonstrate the relationship between the five antecedents of vaccination, the importance of confidence in vaccines, and a sense of collective responsibility in parents' intention to vaccinate their children. Campaigns addressing constraints and collective responsibility could help influence the public's vaccination behavior.

SARS-CoV-2 variants and the global pandemic challenged by vaccine uptake during the emergence of the Delta variant: A national survey seeking vaccine hesitancy causes.

BACKGROUND: Herd immunity for COVID-19 is the ultimate goal to end the pandemic. Emergence of SARS-CoV-2 variants has been a subject of considerable debate regarding vaccines effectiveness. This ongoing discussion and other evolving variables contribute to the hesitancy toward vaccines and levels of vaccination acceptance among both the healthcare workers and the public. This study was conducted to assess COVID-19 vaccine uptake and hesitancy among the Saudi Arabian population during the emergence of SARS-CoV-2 Delta variant. METHODS: A national cross-sectional survey conducted between June 28 and July 5, 2021. The survey collected sociodemographic information, personal and family history of previous COVID-19 infection, adherence to precautionary measures, COVID-19 vaccination status, parental willingness to vaccinate their teenage children, and address variable associated with hesitancy to receive vaccination. RESULTS: Among the 4071 participants, 67 % were women, 86 % of the participants received COVID-19 vaccine, 70 % had very high or high commitment with COVID-19 precautionary measures. On multivariate analysis, vaccine hesitancy was less likely in men (OR 0.652, p-value < 0.001), those who had direct family members infected with COVID-19 (OR 0.455, p-value < 0.001), and those who reported using the Ministry of Health official channels as information sources (OR 0.522, p-value < 0.001), while those younger than 44 years had higher hesitancy to receive the vaccine (1.5-2.1 times). Of the participants, only 42 % showed willingness to vaccinate their teenage (12-18 years old) children. CONCLUSIONS: The participants in this study had high COVID-19 vaccination rate; however, hesitancy was reported more commonly among women. Their willingness to vaccinate their teenage children was much lower. Participants relying on social media platforms were highly hesitant to receive vaccination. Public health officials should scale up their efforts targeting females, young population, and parents by vaccination awareness campaigns, and refute misinformation spread on social media, especially with the emergence of variants and the news burst that coincide with them.

COVID-19 Infection in Patients with Comorbidities: Clinical and Immunological Insight.

AIM: Our study's objectives were to study the clinical and laboratory characteristics that may serve as biomarkers for predicting disease severity, IL-10 levels, and frequencies of different T cell subsets in comorbid COVID-19 patients. METHODS: Sixty-two hospitalized COVID-19 patients with comorbidities were assessed clinically and radiologically. Blood samples were collected to assess the T lymphocyte subsets by flow cytometry and IL-10 levels by ELISA. RESULTS: The most common comorbidities observed in COVID-19 patients were diabetes mellitus (DM), hypertension, and malignancies. Common symptoms and signs included fever, cough, dyspnea, fatigue, myalgia, and sore throat. CRP, ferritin, D dimer, LDH, urea, creatinine, and direct bilirubin were significantly increased in patients than controls. Lymphocyte count and CD4+ and CD8+ T-cells were significantly decreased in comorbid COVID-19 patients, and CD25 and CD45RA expression were increased. CD4+ and CD8+ regulatory T cells (Tregs) and IL-10 levels were significantly decreased in patients. CONCLUSIONS: Many parameters were found to be predictive of severity in the comorbid patients in our study. Significant reductions in the levels and activation of CD4+ and CD8+ T-cells were found. In addition, CD4+ and CD8+ Tregs were significant decreased in patients, probably pointing to a prominent role of CD8+ Tregs in dampening CD4+ T-cell activation.

Association of follicular helper T and follicular regulatory T cells with severity and hyperglycemia in hospitalized COVID-19 patients.

We aimed to determine the levels of follicular helper T (Tfh) and follicular regulatory T (Tfr) cells in COVID-19 patients and determine whether their levels correlated with disease severity and presence of hyperglycemia. This study was carried out in 34 hospitalized COVID-19 patients and 20 healthy controls. Levels of total circulating Tfh, inducible T-cell costimulator (ICOS)+ activated Tfh, and Tfr cells were assessed in all participants by flow cytometry. Total CD4+CXCR5+ Tfh cells and ICOS+Foxp3-activated Tfh cells increased and ICOS+Foxp3+ Tfr cells decreased in COVID-19 patients, especially in diabetic patients and those with severe disease. Activated ICOS+ Tfh cells were directly correlated with lactate dehydrogenase, D-dimer, ferritin, and respiratory rate and inversely correlated with the partial pressure of carbon dioxide. COVID-19 is associated with marked activation of Tfh cells and a profound drop in Tfr cells, especially in severe and diabetic patients. Future studies on expanded cohorts of patients are needed to clarify the relationship between SARS-CoV-2 and acute-onset diabetes.

A fuzzy fractional model of coronavirus (COVID-19) and its study with Legendre spectral method.

The virus which belongs to the family of the coronavirus was seen first in Wuhan city of China. As it spreads so quickly and fastly, now all over countries in the world are suffering from this. The world health organization has considered and declared it a pandemic. In this presented research, we have picked up the existing mathematical model of corona virus which has six ordinary differential equations involving fractional derivative with non-singular kernel and Mittag-Leffler law. Another new thing is that we study this model in a fuzzy environment. We will discuss why we need a fuzzy environment for this model. First of all, we find out the approximate value of ABC fractional derivative of simple polynomial function ( t - a ) n . By using this approximation we will derive and developed the Legendre operational matrix of fractional differentiation for the Mittag-Leffler kernel fractional derivative on a larger interval [ 0 , b ] , b ⩾ 1 , b ∈ N . For the numerical investigation of the fuzzy mathematical model, we use the collocation method with the addition of this newly developed operational matrix. For the feasibility and validity of our method we pick up a particular case of our model and plot the graph between the exact and numerical solutions. We see that our results have good accuracy and our method is valid for the fuzzy system of fractional ODEs. We depict the dynamics of infected, susceptible, exposed, and asymptotically infected people for the different integer and fractional orders in a fuzzy environment. We show the effect of fractional order on the suspected, exposed, infected, and asymptotic carrier by plotting graphs.