The Effect of Tang Forte (Royal Jelly) Capsule on Hypoglycemia and Clinical Course in COVID-19 Patients Under Corticosteroid Therapy.

Corticosteroids improve the complications of Covid-19 but may cause some side effects such as hyperglycemia. Royal jelly is one of the bee products that exert anti-inflammatory, insulin-like, and hypoglycemic activities. The present study was conducted to investigate the effect of royal jelly capsules on blood sugar and the clinical course of Covid-19 in the patients receiving corticosteroid therapy. In this clinical trial, 72 Covid-19 patients with positive reverse transcription polymerase chain reaction (RT-PCR) test and pulmonary involvement hospitalized in Shahrekord Hajar Hospital were enrolled and randomized into two groups: treatment (receiving corticosteroids and Royal Jelly 1000 mg capsules daily for 7 days) and placebo (given corticosteroids and placebo). Laboratory tests, blood sugar, and clinical courses were determined and compared. Data was analyzed using SPSS version 16. On day 7 after the onset of the intervention, the dosage and frequency of insulin, FBS level, and required corticosteroid showed a decrease in both groups but the inter-group difference was not significant (P > .05). As well, the Spo2 level indicated a non-significant increase and hospital stay length indicated a non-significant decrease in the intervention group (P > .05). Among the symptoms, only headache, cough, and dyspnea indicated an improvement in the intervention group (P < .05). Overall, the results indicated the short-term consumption of royal jelly could not significantly improve blood sugar and the clinical course of Covid-19; however, it could significantly improve headache, cough, and dyspnea in the patients.

Insulin allergy manifesting soon after COVID-19 vaccination (BNT162b2).

We experienced a case with insulin allergy which manifested soon after COVID-19 vaccination.

Impact of glycemia and insulin treatment in fatal outcome of severe fever with thrombocytopenia syndrome.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with a high fatality rate. How the glucose level might affect the clinical outcome remains obscure. METHODS: A multicenter study was performed in 2 hospitals from 2011 to 2021. Patients with SFTS and acute hyperglycemia (admission fasting plasma glucose [FPG] ≥7 mmol/L), postadmission hyperglycemia (admission FPG <7 mmol/L but FPG ≥7 mmol/L after admission), and euglycemia (FPG <7 mmol/L throughout hospitalization) were compared for their clinical progress and outcomes. RESULTS: A total of 3225 patients were included in this study, 37.9% of whom developed acute hyperglycemia and 7.6% postadmission hyperglycemia. The presence of acute hyperglycemia, with or without known diabetes, was associated with increased risk of death (odds ratio [OR]: 1.63; 95% confidence interval [CI]: 1.29-2.05) compared with euglycemia. This effect, however, was only determined in female patients (OR: 2.15; 95% CI: 1.54-2.93). Insulin treatment of patients with SFTS and acute hyperglycemia without previous diabetes was associated with significantly increased mortality (OR: 1.58; 95% CI: 1.16-2.16). CONCLUSION: Acute hyperglycemia can act as a strong predictor of SFTS-related death in female patients. Insulin treatment of hyperglycemia in patients with SFTS without pre-existing diabetes has adverse effects.

Differential Responses to Sigma-1 or Sigma-2 Receptor Ablation in Adiposity, Fat Oxidation, and Sexual Dimorphism.

Obesity is increasing at epidemic rates across the US and worldwide, as are its co-morbidities, including type-2 diabetes and cardiovascular disease. Thus, targeted interventions to reduce the prevalence of obesity are of the utmost importance. The sigma-1 receptor (S1R) and sigma-2 receptor (S2R; encoded by Tmem97) belong to the same class of drug-binding sites, yet they are genetically distinct. There are multiple ongoing clinical trials focused on sigma receptors, targeting diseases ranging from Alzheimer's disease through chronic pain to COVID-19. However, little is known regarding their gene-specific role in obesity. In this study, we measured body composition, used a comprehensive laboratory-animal monitoring system, and determined the glucose and insulin tolerance in mice fed a high-fat diet. Compared to Sigmar1+/+ mice of the same sex, the male and female Sigmar1-/- mice had lower fat mass (17% and 12% lower, respectively), and elevated lean mass (16% and 10% higher, respectively), but S1R ablation had no effect on their metabolism. The male Tmem97-/- mice exhibited 7% lower fat mass, 8% higher lean mass, increased volumes of O2 and CO2, a decreased respiratory exchange ratio indicating elevated fatty-acid oxidation, and improved insulin tolerance, compared to the male Tmem97+/+ mice. There were no changes in any of these parameters in the female Tmem97-/- mice. Together, these data indicate that the S1R ablation in male and female mice or the S2R ablation in male mice protects against diet-induced adiposity, and that S2R ablation, but not S1R deletion, improves insulin tolerance and enhances fatty-acid oxidation in male mice. Further mechanistic investigations may lead to translational strategies to target differential S1R/S2R regulations and sexual dimorphism for precision treatments of obesity.

The bidirectional biological interplay between microbiome and viruses in periodontitis and type-2 diabetes mellitus.

Periodontitis was an inflammatory disease associated with a dysbiosis of the oral flora characterized by a chronic sustained inflammation inducing the resorption of alveolar bone and leading to tooth loss. Type 2 diabetes mellitus (T2D) was a metabolic disease caused by impaired insulin action. The oral microbiome played a crucial role in modulating both the innate and adaptive immune system during the trigger and exacerbation of periodontitis and T2D. The bidirectional relationship of T2D and periodontitis had been the focus of intensive research, but those were not well explored. In this commentary, an in-depth analysis of the changes of microbiome and bacterial metabolites in periodontitis with or without diabetes was described. The promotion of periodontitis to T2D might involve inflammatory factors/receptors, oxidative stress, microRNA and so on. The effect of diabetes on periodontitis might involve adipose factor pathway, AGE/RAGE and RANK/RANKL pathway etc. Generally, periodontitis and diabetes are closely related to the microecological-epithelial interaction, soft tissue degradation, bone coupling disorder, immune regulation and gene transcription. The viruses, including HBV, HCV, HSV-1, Coronavirus, HCMV, EBV, HIV, phageome and so on, played an important role in the development of T2D and periodontitis. An in-depth understanding of the relationship between microbiome and host was of great significance to clarify the bidirectional mechanisms, suggesting that the periodontitis or T2D remission will have a positive impact on the other.

Evaluation of nurse-led social media intervention for diabetes self-management: A mixed-method study.

AIMS: This study aimed to investigate the effectiveness and understand the process of a nurse-led social media intervention for health behavior and glucose control for diabetes self-management among patients with type 2 diabetes mellitus. DESIGN: This study had an explanatory sequential mixed methods design, with a randomized controlled trial and qualitative interviews. METHODS: A total of 89 patients diagnosed with type 2 diabetes mellitus were randomly assigned to an intervention or a control group. Patients in the intervention group were invited to join the closed nurse-led social media platform that included diabetes information, action planning, unmoderated chat, and questions and answers. The outcomes of diabetes self-care behavior, hemoglobin A1c (HbA1c) percentage, fasting blood sugar level (FBS), systolic and diastolic blood pressure, and triglyceride (TG) and total cholesterol levels were measured at baseline, 3 months, and 6 months. A linear mixed model was used to analyze the effectiveness of the intervention over time. Qualitative data were collected from interviews with seven patients engaged in the intervention and analyzed using qualitative content analysis. FINDINGS: After 6 months, insulin users who were provided with the social media intervention had significantly lower FBS and TG levels than those with usual care (135.80 ± 12.37 vs. 175.82 ± 15.34 mg/dL, p = 0.049; 206.85 ± 38.26 vs. 387.50 ± 56.19 mg/dL, p = 0.013; respectively). Although a similar rate of decrease in the HbA1c level over time was observed among insulin and noninsulin users after the social media intervention, this decrease was significantly greater among noninsulin users at 3 and 6 months compared with the control group (6.38 ± 0.34 vs. 7.25 ± 0.24, p = 0.040; 6.31 ± 0.37 vs. 7.28 ± 0.26, p = 0.036; respectively). Interview with seven patients who engaged in the intervention revealed that their engagement in the intervention was primarily determined by their acceptance of the role of managing their diabetes. Being engaged in the intervention, patients benefited from information sharing and interactive support to motivate their self-care, nurses' professional advice to modify their behaviors, and action planning to make progress toward behavioral change. CONCLUSIONS: The positive outcomes of the nurse-led social media intervention indicate that the social media platform is an effective strategy to implement diabetes self-management in clinical nursing practice. CLINICAL RELEVANCE: The social media intervention would be successfully implemented by nurses to facilitate patients accepting their role in diabetes management and employing key services for diabetes information, support, professional advice, and action planning.

Psychological and Biochemical Effects of an Online Pilates Intervention in Pregnant Women during COVID-19: A Randomized Pilot Study.

The purpose of this study was to analyze the effect of real-time online Pilates exercise during COVID-19 on women's body composition, blood lipids, and psychological health after childbirth. The participants were 16 pregnant women (24-28 weeks pregnant) enrolled at the C Women's Culture Center in Seoul, South Korea, classified into online Pilates groups and non-exercise groups (PE, n = 8; CON, n = 8). The online Pilates program was conducted for 8 weeks, twice a week, and 50 min a day using a real-time video chat app. Participants visited the hospital twice for body composition and blood tests. Questionnaires on postpartum depression, sleep disorder, and stress were conducted at 6 weeks and 12 weeks after childbirth. We found a significant difference between groups in body composition. The weight, percentage of body fat, body fat mass, and BMI of the PE group decreased. Blood lipids showed significant differences between the groups in TC, TG, LDL and CRP, while insulin and HDL showed no difference. All blood lipids, insulin, and CRP in the PE group were reduced. There were significant differences between the groups in postpartum depression, sleep disorders, and perceived stress indices performed in the post-test, and the serotonin concentration in the PE group increased. Serotonin levels were significantly correlated with postpartum depression, body fat mass, and body fat rate. Pregnant women's online Pilates in this study was effective at reducing weight and depression in women after childbirth and should be used to promote women's mental health during COVID-19.

Gestational diabetes mellitus and COVID-19: results from the COVID-19-Related Obstetric and Neonatal Outcome Study (CRONOS).

BACKGROUND: Gestational diabetes mellitus is one of the most frequent pregnancy complications with a global prevalence of 13.4% in 2021. Pregnant women with COVID-19 and gestational diabetes mellitus are 3.3 times more likely to be admitted to an intensive care unit than women without gestational diabetes mellitus. Data on the association of gestational diabetes mellitus with maternal and neonatal pregnancy outcomes in pregnant women with SARS-CoV-2 infection are lacking. OBJECTIVE: This study aimed to investigate whether gestational diabetes mellitus is an independent risk factor for adverse maternal and fetal and neonatal outcomes in pregnant women with COVID-19. STUDY DESIGN: The COVID-19-Related Obstetric and Neonatal Outcome Study is a registry-based multicentric prospective observational study from Germany and Linz, Austria. Pregnant women with clinically confirmed COVID-19 were enrolled between April 3, 2020, and August 24, 2021, at any stage of pregnancy. Obstetricians and neonatologists of 115 hospitals actively provided data to the COVID-19-Related Obstetric and Neonatal Outcome Study. For collecting data, a cloud-based electronic data platform was developed. Women and neonates were observed until hospital discharge. Information on demographic characteristics, comorbidities, medical history, COVID-19-associated symptoms and treatments, pregnancy, and birth outcomes were entered by the local sites. Information on the periconceptional body mass index was collected. A primary combined maternal endpoint was defined as (1) admission to an intensive care unit (including maternal mortality), (2) viral pneumonia, and/or (3) oxygen supplementation. A primary combined fetal and neonatal endpoint was defined as (1) stillbirth at ≥24 0/7 weeks of gestation, (2) neonatal death ≤7 days after delivery, and/or (3) transfer to a neonatal intensive care unit. Multivariable logistic regression analysis was performed to evaluate the modulating effect of gestational diabetes mellitus on the defined endpoints. RESULTS: Of the 1490 women with COVID-19 (mean age, 31.0±5.2 years; 40.7% nulliparous), 140 (9.4%) were diagnosed with gestational diabetes mellitus; of these, 42.9% were treated with insulin. Overall, gestational diabetes mellitus was not associated with an adverse maternal outcome (odds ratio, 1.50; 95% confidence interval, 0.88-2.57). However, in women who were overweight or obese, gestational diabetes mellitus was independently associated with the primary maternal outcome (adjusted odds ratio, 2.69; 95% confidence interval, 1.43-5.07). Women who were overweight or obese with gestational diabetes mellitus requiring insulin treatment were found to have an increased risk of a severe course of COVID-19 (adjusted odds ratio, 3.05; 95% confidence interval, 1.38-6.73). Adverse maternal outcomes were more common when COVID-19 was diagnosed with or shortly after gestational diabetes mellitus diagnosis than COVID-19 diagnosis before gestational diabetes mellitus diagnosis (19.6% vs 5.6%; P<.05). Maternal gestational diabetes mellitus and maternal preconception body mass index of ≥25 kg/m2 increased the risk of adverse fetal and neonatal outcomes (adjusted odds ratio, 1.83; 95% confidence interval, 1.05-3.18). Furthermore, overweight and obesity (irrespective of gestational diabetes mellitus status) were influential factors for the maternal (adjusted odds ratio, 1.87; 95% confidence interval, 1.26-2.75) and neonatal (adjusted odds ratio, 1.81; 95% confidence interval, 1.32-2.48) primary endpoints compared with underweight or normal weight. CONCLUSION: Gestational diabetes mellitus, combined with periconceptional overweight or obesity, was independently associated with a severe maternal course of COVID-19, especially when the mother required insulin and COVID-19 was diagnosed with or after gestational diabetes mellitus diagnosis. These combined factors exhibited a moderate effect on neonatal outcomes. Women with gestational diabetes mellitus and a body mass index of ≥25 kg/m2 were a particularly vulnerable group in the case of COVID-19.

Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland.

OBJECTIVE: To identify the demographic and clinical characteristics associated with adverse COVID-19 outcomes across a 12-month period in 2020 and 2021. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study using electronic health records from five academic health systems in Pennsylvania and Maryland, including patients with COVID-19 with type 2 diabetes or at risk of type 2 diabetes. Patients were classified based on 30-day outcomes: (1) no hospitalization; (2) hospitalization only; or (3) a composite measure including admission to the intensive care unit (ICU), intubation, or death. Analyses were conducted in patients with type 2 diabetes and patients at risk of type 2 diabetes separately. RESULTS: We included 15 725 patients with COVID-19 diagnoses between March 2020 and February 2021. Older age and higher Charlson Comorbidity Index scores were associated with higher odds of adverse outcomes, while COVID-19 diagnoses later in the study period were associated with lower odds of severe outcomes. In patients with type 2 diabetes, individuals on insulin treatment had higher odds for ICU/intubation/death (OR=1.59, 95% CI 1.27 to 1.99), whereas those on metformin had lower odds (OR=0.56, 95% CI 0.45 to 0.71). Compared with non-Hispanic White patients, Hispanic patients had higher odds of hospitalization in patients with type 2 diabetes (OR=1.73, 95% CI 1.36 to 2.19) or at risk of type 2 diabetes (OR=1.77, 95% CI 1.43 to 2.18.) CONCLUSIONS: Adults who were older, in racial minority groups, had multiple chronic conditions or were on insulin treatment had higher risks for severe COVID-19 outcomes. This study reinforced the urgency of preventing COVID-19 and its complications in vulnerable populations. TRIAL REGISTRATION NUMBER: NCT02788903.

Type 1 diabetes mellitus following SARS-CoV-2 mRNA vaccination.

PURPOSE: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) vaccines have been reported to trigger immune side effects. Type 1 diabetes as a manifestation of autoimmune/inflammatory syndrome induced by adjuvants has been reported in a limited number of cases after vaccinations. A few type 1 diabetes cases after SARS-CoV-2 vaccination have been reported. This study aims to report type 1 diabetes cases associated with the mRNA-based SARS-CoV-2 vaccination. METHODS: We report four cases of type 1 diabetes mellitus after mRNA-based SARS-CoV-2 vaccine, BNT162b2 (Pfizer-BioNTech). In the medical history, one subject had autoimmune thyroid disease. All patients had autoantibodies against glutamate decarboxylase. RESULTS: In the presented case series, type 1 diabetes developed a few weeks after BNT162b2 vaccination. After developing type 1 diabetes, the insulin dose requirements of all patients decreased rapidly, and the need for insulin therapy in three patients disappeared during follow-up. Acute deterioration of glucose regulation in a patient followed by BNT162b2 administration may be due to vaccine-induced autoimmune diabetes. CONCLUSION: Vaccination with BNT162b2 may trigger type 1 diabetes.

Trends in Type 1 Diabetic Ketoacidosis During COVID-19 Surges at 7 US Centers: Highest Burden on non-Hispanic Black Patients.

CONTEXT: The impact of the COVID-19 pandemic on individuals with type 1 diabetes remains poorly defined. OBJECTIVE: We examined United States trends in diabetic ketoacidosis (DKA) among individuals with type 1 diabetes (T1D) during the COVID-19 pandemic at 7 large US medical centers and factors associated with these trends. METHODS: We compared DKA events among children and adults with T1D during COVID-19 surge 1 (March-May 2020) and COVID-19 surge 2 (August-October 2020) to the same periods in 2019. Analysis was performed using descriptive statistics and chi-square tests. RESULTS: We found no difference in the absolute number of T1D patients experiencing DKA in 2019 vs 2020. However, a higher proportion of non-Hispanic Black (NHB) individuals experienced DKA in 2019 than non-Hispanic White (NHW) individuals (44.6% vs 16.0%; P < .001), and this disparity persisted during the COVID-19 pandemic (48.6% vs 18.6%; P < .001). DKA was less common among patients on continuous glucose monitor (CGM) or insulin pump in 2020 compared to 2019 (CGM: 13.2% vs 15.0%, P < .001; insulin pump: 8.0% vs 10.6%, P < .001). In contrast to annual DKA totals, a higher proportion of patients had DKA during COVID-19 surges 1 and 2 compared to the same months in 2019 (surge 1: 7.1% vs 5.4%, P < .001; surge 2: 6.6% vs 5.7%, P = .001). CONCLUSION: DKA frequency increased among T1D patients during COVID-19 surges with highest frequency among NHB patients. DKA was less common among patients using CGM or insulin pumps. These findings highlight the urgent need for improved strategies to prevent DKA among patients with T1D-not only under pandemic conditions, but under all conditions-especially among populations most affected by health inequities.

Preadmission use of antidiabetic medications and mortality among patients with COVID-19 having type 2 diabetes: A meta-analysis.

BACKGROUND: Diabetes is an independent predictor of poor outcomes in patients with COVID-19. We compared the effects of the preadmission use of antidiabetic medications on the in-hospital mortality of patients with COVID-19 having type 2 diabetes. METHODS: A systematic search of PubMed, EMBASE, Scopus and Web of Science databases was performed to include studies (except case reports and review articles) published until November 30, 2021. We excluded papers regarding in-hospital use of antidiabetic medications. We used a random-effects meta-analysis to calculate the pooled OR (95% CI) and performed a sensitivity analysis to confirm the robustness of the meta-analyses. MAIN FINDINGS: We included 61 studies (3,061,584 individuals), which were rated as having low risk of bias. The OR (95% CI) indicated some medications protective against COVID-related death, including metformin [0.54 (0.47-0.62), I2 86%], glucagon-like peptide-1 receptor agonist (GLP-1RA) [0.51 (0.37-0.69), I2 85%], and sodium-glucose transporter-2 inhibitor (SGLT-2i) [0.60 (0.40-0.88), I2 91%]. Dipeptidyl peptidase-4 inhibitor (DPP-4i) [1.23 (1.07-1.42), I2 82%] and insulin [1.70 (1.33-2.19), I2 97%] users were more likely to die during hospitalization. Sulfonylurea, thiazolidinedione, and alpha-glucosidase inhibitor were mortality neutral [0.92 (95% CI 0.83-1.01, I2 44%), 0.90 (95% CI 0.71-1.14, I2 46%), and 0.61 (95% CI 0.26-1.45, I2 77%), respectively]. The sensitivity analysis indicated that our findings were robust. CONCLUSIONS: Metformin, GLP-1RA, and SGLT-2i were associated with lower mortality rate in patients with COVID-19 having type 2 diabetes. DPP-4i and insulin were linked to increased mortality. Sulfonylurea, thiazolidinedione, and alpha-glucosidase inhibitors were mortality neutral. These findings can have a large impact on the clinicians' decisions amid the COVID-19 pandemic.

[Retrospective analysis of clinical outcomes of patients with COVID-19 depending on receiving antihypertensive, lipid-lowering and antihypertensive therapy].

BACKGROUND: The main factors that increase the risk of cardiovascular accidents and mortality among patients with COVID-19 include hyperglycemia, arterial hypertension and dyslipidemia. Therefore, all patients with COVID-19 and metabolic syndrome should receive antihypertensive (AHT), hypolipidemic (GLT) and hypoglycemic therapy (GGT). Currently, there is a limited number of studies regarding the effectiveness and safety of this therapy in patients with COVID-19. AIM: Evaluate the clinical outcomes of patients with COVID-19, depending on the recipient of AHT, GLT and GGT. MATERIALS AND METHODS: A retrospective analysis of the clinical outcomes "discharged/died" of 1753 patients with COVID-19 was carried out depending on the received AHT, GLT and GGT. RESULTS: A significant reduction in the risk of mortality among patients with COVID-19 was observed during therapy with angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers ACE inhibitors/ARBs (OR 0.39, 95% CI 0.210.72; p0.05) and b-adrenergic blockers b-AB (OR 0.53, 95% CI 0.281; p0.05). At the same time, against the background of therapy with ACE inhibitors/ARBs and b-ABs, the chance of mortality decreased more significantly among patients with type 2 diabetes mellitus (T2DM) compared with patients without T2DM. Diuretic therapy was associated with a 3-fold increase in the chances of death: OR 3.33, 95% CI 1.884.79; p0.05. Statin therapy did not affect clinical outcomes in COVID-19 patients. On the background of therapy with oral hypoglycemic drugs, the risk of mortality decreased 5-fold (OR 0.19, 95% CI 0.070.54; p0.05). Against the background of insulin therapy, there was an increase in mortality risk by 2.8 times (OR 2.81, 95% CI 1.55.29; p0.05). CONCLUSION: A significant reduction in mortality among patients with COVID-19 was observed during therapy with ACEI/ARB, b-AB, and oral hypoglycemic therapy. Increased risk of death was associated with insulin therapy and diuretic therapy.

Hypoglycemia frequency and treatment satisfaction in patients receiving insulin analogues for treatment of type 1 diabetes mellitus.

OBJECTIVE: The aim of this study was to evaluate the frequency of hypoglycemia and the treatment satisfaction in patients with type 1 diabetes (T1D) using insulin analogues. METHODS: This observational retrospective study included 516 adult patients with T1D from 38 cities in Southern Brazil. Demographics and clinical data were collected using a self-report questionnaire. Hypoglycemia was defined as an event based on either symptoms or self-monitored blood glucose < 70 mg/dL. Treatment satisfaction was evaluated using the Diabetes Treatment Satisfaction Questionnaire status version (DTSQs) and with a specific question with scores ranging from 0-10. Common mental disorders were assessed using the General Health Questionnaire (GHQ-12). RESULTS: Overall, the mean age was 38 ± 14 years and 52% of the participants were women. The median diabetes duration was 18 years. The scores for insulin analogue treatment satisfaction were higher than those for previous treatments. DTSQ scores had a median value of 32 (interquartile range 29-35) and remained unchanged over time. The percentage of patients with hypoglycemia (including severe and nocturnal) was comparable across groups divided according to duration of use of insulin analogues. Most patients (n=395, 77%) screened positive for common mental disorders. CONCLUSION: Patient satisfaction with insulin analogue treatment was high and remained unchanged with time. Episodes of hypoglycemia also remained unchanged over time among patients using insulin analogues.

Managing Patients with Insulin Pumps and Continuous Glucose Monitors in the Hospital: to Wear or Not to Wear.

PURPOSE OF REVIEW: As the prevalence of diabetes mellitus in the USA continues to rise, so does the popularity of diabetes management devices such as continuous glucose monitors (CGMs) and insulin pumps. The use of this technology has been shown to improve outpatient glycemic outcomes and quality of life and oftentimes may be continued in the hospital setting. Our aim is to review the current guidelines and available evidence on the continuation of insulin pumps and CGMs in the inpatient setting. RECENT FINDINGS: Patients with diabetes are at higher risk for hospitalizations and complications due to hyper- or hypoglycemia, metabolic co-morbidities, or as seen recently, more severe illness from infections such as SARS-CoV-2. The maintenance of euglycemia is important to decrease both morbidity and mortality in the hospital setting. There is consensus among experts and medical societies that inpatient use of diabetes technology in carefully selected patients with proper institutional protocols is safe and can improve inpatient glycemic outcomes and reduce hypoglycemia. During the COVID-19 pandemic, CGMs played a vital role in managing hyperglycemia in some hospitalized patients. Insulin pumps and CGMs have the potential to transform glycemic management in hospitalized patients. In order for institutions to safely and effectively incorporate these technologies on their inpatient units, hospital-based providers will need to be able to understand how to manage and utilize these devices in their practice in conjunction with diabetes experts.

Glucose or Insulin, Which Is the Culprit in Patients with COVID-19 and Diabetes?

Patients with a metabolic syndrome (overweight, diabetes, hypertension, and dyslipidemia) have a particularly bad outcome if infected with SARS-CoV-2. Yu et al. (2020) suggest that insulin therapy itself may promote fatality in patients with COVID-19 and diabetes.

Insulin Treatment Is Associated with Increased Mortality in Patients with COVID-19 and Type 2 Diabetes.

COVID-19 caused by SARS-COV-2 infection can lead to multi-organ injuries and significant mortality in severe and critical patients, especially among those individuals with type 2 diabetes (T2D) as a comorbidity. While attenuated mortality was observed with aggressive glucose control, it was unclear whether therapeutic regimens including insulin treatment were beneficial for patients with COVID-19 and T2D. This retrospective study investigated 689 patients with COVID-19 and T2D from a cohort of 3,305 cases from Wuhan, China. Unexpectedly, we found that insulin treatment for patients with COVID-19 and T2D was associated with a significant increase in mortality (27.2% versus 3.5%; adjusted HR, 5.38 [2.75-10.54]). Further analysis showed that insulin treatment was associated with enhanced systemic inflammation and aggravated injuries of vital organs. Therefore, insulin treatment for patients with COVID-19 and T2D should be used with caution.

ISPAD Clinical Practice Consensus Guideline: Diabetic ketoacidosis in the time of COVID-19 and resource-limited settings-role of subcutaneous insulin.

The International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guideline 2018 for management of diabetic ketoacidosis (DKA) and the hyperglycemic hyperosmolar state provide comprehensive guidance for management of DKA in young people. Intravenous (IV) infusion of insulin remains the treatment of choice for treating DKA; however, the policy of many hospitals around the world requires admission to an intensive care unit (ICU) for IV insulin infusion. During the coronavirus 2019 (COVID-19) pandemic or other settings where intensive care resources are limited, ICU services may need to be prioritized or may not be appropriate due to risk of transmission of infection to young people with type 1 or type 2 diabetes. The aim of this guideline, which should be used in conjunction with the ISPAD 2018 guidelines, is to ensure that young individuals with DKA receive management according to best evidence in the context of limited ICU resources. Specifically, this guideline summarizes evidence for the role of subcutaneous insulin in treatment of uncomplicated mild to moderate DKA in young people and may be implemented if administration of IV insulin is not an option.