Prediabetes Induces More Severe Acute COVID-19 Associated With IL-6 Production Without Worsening Long-Term Symptoms

Neutrophilia and its correlation with increased inflammatory response in COVID-19 in diabetic and pre-diabetic patients

Background: Hyperglycemic patients are at a high risk of COVID-19 severity. Neutrophils have been considered critical effector cells in COVID-19 development. Vitamin D deficiency is prevalent in hyperglycemic patients and was found to adversely associate with the neutrophil count.

Aim: The goal of this work was to evaluate the characteristics of diabetic and pre-diabetic COVID-19 patients and discovered changes in neutrophils and their correlation, if any, with disease clinical presentation.

Patients and Methods: The study included total of (514) Covid-19 positive patients confirmed by PCR and recruited from the Prince Mohammad Bin Abdulaziz Hospital in Riyadh, Saudi Arabia. Patient’s clinical characteristics were collected for all patients. Laboratory tests include HbA1c, neutrophil count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), ferritin, D- dimer, 25 hydroxy vitamin D (25(OH)D), and folate.

Results: The results found that 286 patients (55.6%) were diabetic, 77 patients (15%) were pre-diabetic and 151 (29.4%) were normoglycaemic. A significant difference was exhibited regarding the neutrophil count and inflammatory factors of COVID-19 severity. Furthermore, the neutrophil count was found to be directly correlated with the severity monitoring biochemical markers for Covid-19: CRP, ESR, ferritin, and D-dimer and inversely associated with vitamin D levels in diabetic and pre-diabetic patients.

Conclusion: Our findings highlight the change of neutrophils in COVID-19 diabetic and pre-diabetic patients that was found to correlate positively with CRP, ESR, ferritin, and D-dimer, and negatively with 25(OH)D, but their correlation with the clinical presentation of the disease need further large investigations.

Impact of prediabetes with a high risk of diabetes stratified by glycated hemoglobin level on the severity of coronavirus disease 2019 during admission

Objective

Prediabetes with a glycated hemoglobin (HbA1c) level of 5.7 - 6.4% is associated with a poor prognosis of coronavirus disease 2019 (COVID-19), but whether the degree of glycemic control is associated with COVID-19 severity is unknown. The aim of this study was to evaluate the association between the degree of glycemic control and COVID-19 severity in patients with prediabetes.

Materials and methods

We reviewed 254 patients with COVID-19 admitted to our hospital between April 2020 and September 2021. Based on their HbA1c level, patients were classified into low (HbA1c level < 5.7%), moderate (HbA1c level, 5.7 - 5.9%), and high risk of diabetes (HbA1c level, 6.0 - 6.4%). The association between risk of diabetes and the worst COVID-19 symptom in terms of severity during admission was evaluated using binary logistic regression analysis.

Results

Seventy-one and 88 patients had moderate and high risks of diabetes, respectively. Sixty-three and seven patients presented severe (requiring non-invasive oxygen therapy) or critical (intensive care unit admission or artificial respiratory management) COVID-19. The multivariate logistic regression analysis showed that a high risk of diabetes was correlated with severe COVID-19 (P = 0.01) after adjusting for baseline characteristics, whereas a moderate risk of diabetes was not (P = 0.17).

Conclusion

Prediabetes with a high risk of diabetes is associated with the worst COVID-19 symptom in terms of severity during admission. Our findings could aid in more efficient allocation of healthcare resources to a narrower population of prediabetic patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13340-023-00643-z.

Inflammaging and body composition: New insights in diabetic and hypertensive elderly men

Age-related changes in the body's physiological responses play a critical role in systemic arterial hypertension (SAH) and type 2 Diabetes mellitus (T2DM). SAH and T2DM have clinically silent low-grade inflammation as a common risk factor. This inflammation has a relevant element, the excess of fatty tissue. In this scenario, little is known about how inflammatory markers interact with each other. Therefore, this work evaluated the interplay among anthropometric, biochemical, and inflammatory markers in the elderly with SAH and T2DM. Men aged 60-80 years old with SAH and T2DM were classified by body mass index (BMI) as eutrophic elderly (EE, 24 individuals) or overweight elderly (OE, 25 individuals). Body composition analysis was performed using bioimpedance. Blood samples were collected to perform inflammatory and biochemical evaluations. The cytokines IL-17A, IL-1β, IFN-y, TNF-α, and IL-10, were evaluated by ELISA. Triglycerides, total and fractions of cholesterol, and glucose were measured by spectrophotometry. Overweight elderly men had a higher glycemic index and an increase in most anthropometric markers, as well as higher means for all pro-inflammatory cytokines analyzed (IL-17A, IL-1β, IFN-y, and TNF-α) in comparison to their eutrophic elderly counterparts. However, there was a decrease in IL-10 anti-inflammatory cytokine and IL-10/IL-17A ratio compared to their eutrophic elderly counterparts. Although overweight elderly men have worsening inflammatory parameters, the magnitude of their correlations with anthropometric and biochemical parameters becomes less evident. The Bayesian networks highlight that in the eutrophic elderly, IL-17A and TNF-α are the cytokines most associated with interactions, and most of these interactions occur with biochemical parameters. It is worth highlighting the role of IFN-y in overweight elderly men. This cytokine influences IL-10 and TNF-α production, contributing to the inflammatory profile exacerbated in this group.