Association between Type 2 Diabetes Mellitus and Covid-19 Severity: A Literature Review

We conducted a review and evaluated the already documents reports for the relationship among diabetes and COVID-19. The review outcome shows that the COVID-19 severity seems to be greater among patients with diabetes as comorbidity. So, strict glycemic control is imperative in patients infected with COVID-19. Thus, world-wide diabetes burden and COVID-19 pandemic must be deliberated as diabetes increases the COVID-19 severity. Established on this, it is precise significant to follow specific treatment protocols and clinical management in COVID-19 patients affected with diabetes to prevent morbidity and mortality.Copyright © 2023 The Authors.

Hyperglycemia and Hypoglycemia Contributions to Acute Respiratory Distress Syndrome

Purpose of Study Non-diabetic COVID-19 patients with elevated admission fasting blood glucose levels ('hyperglycemia') inexplicably have an increased 28 day mortality and higher inhospital complications including the Acute Respiratory Distress Syndrome (ARDS) but potentially contributing blood glucose changes during ARDS development were not reported (Wang S et al: Diabetologia 2020). Our goal was to determine blood glucose alterations before and during acute lung injury development in a rat model used to study ARDS. Methods Used We sequentially evaluated blood glucose levels for 24 hours and lung lavage protein levels (lung permeability) and lung lavage neutrophil numbers (lung inflammation) at 24 hours to assess acute lung injury ('ARDS') in young (~3 month) and old (~12 month) control and a novel strain of hyperoxia surviving 'resistant' rats before and after administering high and low insulin doses and before and after interleukin- 1/lipopolysaccharide (IL-1/LPS) insufflation. Summary of Results Glucose levels increase rapidly and sequentially in young control, but not young resistant, rats peaking ~2 hours after insufflation. Glucose levels also increase in old control and old resistant rats after insufflation compared to young control and young resistant rats after insufflation. The pattern of glucose levels at 2 hours after insufflation resembles lung lavage proteins and neutrophils at 24 h after insufflation (table 1). Administering high insulin (High In) doses decreases glucose levels ('hypoglycemia') and worsens ARDS while administering low insulin (Low In) doses correct glucose levels and improve ARDS. Conclusions Hyperglycemia develops in both young and old rats developing ARDS and high or low glucose levels parallel worse acute lung inflammation and acute lung injury ('ARDS'). Controlling glucose judiciously with insulin may be beneficial in combatting ARDS caused by SARS-CoV-2 infection and other insults.

Remote telemedicine strategy based on multi-risks intervention by intelligent wearable health devices in elderly comorbidities patients with coronary heart disease

Background: Telemedicine based on wearable intelligent health devices becomes increasingly promissing for the elderly due to the accelerated aging population. Especially during COVID-19 pandemic, more elderly coronary heart disease patients with chronic comorbidities are in less secondary prevention management at home. Objective(s): To explore the prevention effect on main cardiovascular risk factors and repeated hospitalization in elderly comorbidities patients by telemedicine intervention based on multi-parameter wearable monitoring devices. Method(s): Total of 337 patients with comorbidities of coronary heart disease, hypertension and diabetes, with age more than 65 years old were recruited in the study from October 2019 to January 2021. They were randomly divided into control group and telemedcine intervention group. The latter used remote multi-parameter wearable devices to measure blood pressure, glycemic and electrocardiograph at home every day. A real-time monitoring platform would alarm any abnormal data to the doctors. Both doctors and patients can read the measurement results on a real-time mobile phone APP and interact with each other remotely twice a week routinely. A medical team remotely indicated the medications, while offering guidance on lifestyle. In contrast, the control group adopted traditional outpatient medical strategy to manage diseases. Result(s): A total of 306 patients were enrolled in the follow-up experiment finally: 153 in the intervention group and 153 in the control group. Patient characteristics at baseline were balanced between two groups. After 12 months, compared with the control group, the intervention group saw the following metrics significantly reduced: Systolic blood pressure (SBP) (131.66+/-9.43 vs 137.20+/-12.02 mmHg, P=0.000), total cholesterol (TC) (3.65+/-0.79 vs 4.08+/-0.82 mmol/L, P=0.001), low density lipoprotein cholesterol (LDL-C) (2.06+/-0.53 vs 2.38+/-0.61 mmol/L, P=0.002), and fasting blood glucose (FBG) (6.26+/-0.75 vs 6.81+/-0.97 mmol/L, P=0.000), while the following metrics went up significantly: Blood pressure control rate (77.3% vs 59.1%, P=0.039), blood lipid control rate(39.4% vs 21.2%, P=0.037), glycemic control rate (71.2% vs 51.5%, P=0.031), and medication adherence score (7.10+/-0.77 vs 6.80+/-0.73, P=0.020). Linear regression model analysis indicates that when interaction frequency >=1.53, 2.47 and 1.15 times/week, the SBP, LDL-C and FBG levels would be controlled, respectively. Cox survival analysis finds that the hospitalization rate of intervention group is significantly lower than that of the control group (24.18% vs 35.29%, P=0.031). Conclusion(s): The telemedicine interactive intervention based on multiparameter wearable devices provides effectively improvement of cardiovascular risk controlling, medication adherence, while reducing the hospitalization rate of patients. A frequency of doctor-patient interactions more than 2 times/week is beneficial for disease management the elderly at home. (Figure Presented) .

Myocardial infarction with non-obstructive coronary arteries (MINOCA) complicating myocarditis

Myocarditis can lead to myocardial infarction in the absence of coronary artery obstruction. We report a case of probable myocarditis, complicated by myocardial infarction with non-obstructive coronary arteries. A 19-year-old man presented with chest pain typical of myocarditis. He was a smoker but was otherwise well. Electrocardiogram revealed diffuse ST-elevation and echocardiography revealed a thin, akinetic apex. Troponin-T levels on admission were raised leading to an initial diagnosis of myocarditis being made. However, late gadolinium enhancement study on cardiac magnetic resonance imaging demonstrated transmural enhancement typical of ischaemia. Coronary angiogram was normal, leading to a likely diagnosis of myocardial infarction with non-obstructive coronary arteries. It is important to highlight that coronary assessment remains important when working up for myocarditis, as myocardial infarction with non-obstructive coronary arteries can often complicate myocarditis in cases of normal angiography. Another important lesson was on how cardiac magnetic resonance imaging provided vital evidence to support underlying ischaemia despite normal coronary angiogram, leading to a diagnosis of myocardial infarction with non-obstructive coronary arteries. Myocardial infarction with non-obstructive coronary arteries remains a broad 'umbrella' term and cardiac magnetic resonance imaging, as well as more invasive coronary imaging techniques during angiography, can further assist in its diagnosis. Our case provides a reminder that myocardial infarction with non-obstructive coronary arteries, although increasingly recognised, remains under-diagnosed and can often overlap with peri-myocarditis, highlighting the need to employ multi-modality imaging in guiding management.Copyright © The Author(s) 2021.

Is The Co-administration of Metformin and Clomiphene Superior to Induce Ovulation in Infertile Patients with Poly Cystic Ovary Syndrome and Confirmed Insulin-resistance: A Double Blind Randomized Clinical Trial

Objective: This study aimed to compare the effects of clomiphene citrate (CC) combined with metformin or placebo on infertile patients with poly cystic ovary syndrome (PCOS) and insulin resistance (IR). Material(s) and Method(s): We included 151 infertile women with PCOS and IR in a university hospital from November 2015 to April 2022 in this prospective, double-blind, randomized, placebo-controlled trial. Patients were randomized into two groups;group A: received CC plus metformin (n = 76) and group B: received CC plus placebo (n = 75). The ovulation rate was the main outcome measure. Clinical pregnancy, ongoing pregnancy, live birth and abortion rates were secondary outcome measures. Result(s): There was no remarkable difference in ovulation rate in two groups. Moreover, no significant changes were observed in clinical pregnancy, ongoing pregnancy, live birth and abortion rates between two groups. A larger proportion of women in group A suffered from side effects of metformin (9.3% versus 1.4%;p=0.064), although this was not significant. Conclusion(s): In IR infertile women with PCOS, metformin pre-treatment did not increase the ovulation, clinical pregnancy and live birth rates in patients on clomiphene citrate.Copyright © 2023 Tehran University of Medical Sciences.

SARBOHYDRATE METABOLISM DISORDERS AND THEIR OUTCOMES IN THE LONG-TERM PERIOD IN HOSPITALIZED PATIENTS WITH COVID-19.

BACKGROUND: Diabetes mellitus (DM) is a predisposing factor for the development of many infectious complications. Numerous studies have demonstrated the association of hyperglycemia in patients having DM with a high risk of a more unfavorable course of COVID-19. However, hyperglycemia is often detected in patients with a COVID-19 not having anamnesis of DM. The following remains unclear: the etiological factors causing such disorders of carbohydrate metabolism, the persistence of these disorders and the characteristics of the course, as well as their comparative effect on the outcomes of COVID-19 and the further prognosis of patients. AIM: To study the prevalence and nature of carbohydrate metabolism disorders in patients with moderate to severe course of COVID-19, as well as 6 months after it. MATERIALS AND METHODS: Hospitalized patients with a confirmed diagnosis of COVID-19 of moderate and severe course of the disease were examined. There were no medical interventions outside recommendations of patient management. The observation was carried out during two time periods: inpatient treatment of a COVID-19 and 6 months after discharge. The following were evaluated: anamnesis data, the level of fasting plasma glucose;HbA1c, the results of computed tomography of the lungs, the drug therapy taken in all patients. Descriptive statistics methods were used to evaluate the parameters. RESULT(S): The study included 280 patients with a median age of 61.5+/-14,2 years. During the disease, a violation of carbohydrate metabolism was detected in 188 people (67%), the remaining patients (33%) made up the normoglycemia group. Patients with hyperglycemia were stratified in a following way: a group with an established diagnosis of DM before COVID -19 included - 56 people (20%), a group with steroid-induced hyperglycemia (SIH) - 95 people (34%), a group of stress- induced hyperglycaemia - 20 people (7%), with undiagnosed diabetes - 17 people (6%). In the postcovid period (after 6 months), the normal level of glycemia in the same sample group was observed in 199 people (71.4%);8 people (3%) were diagnosed with new cases of DM. The mortality rate was 10 people (3.6%) in the group of SIH (8 people) and undiagnosed DM (2 people). CONCLUSION(S): The use of glucocorticoids in hospitalized patients with COVID-19 leads to high incidence of SIH, which has reversible character. About 6% among hospitalized patients with a COVID-19 had undiagnosed DM and were not receiving antihyperglycemic therapy. The highest mortality was noted in the group of SIH, which allows us to conclude that SIH worsens the prognosis of patients to the greatest extent. Patients with newly diagnosed hyperglycemia, regardless of the level of hyperglycemia, are characterized by a more unfavorable course.Copyright © Endocrinology Research Centre, 2022.

Clinical Utility of a Digital Therapeutic Intervention in Indian Patients With Type 2 Diabetes Mellitus: 12-Week Prospective Single-Arm Intervention Study.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) having elevated levels of blood glucose and glycated hemoglobin (HbA1c) are at higher risk of macro- and microvascular complications. Nonetheless, the goal of achieving glycemic control cannot be met with the use of pharmacotherapy alone. The recent emergence of digital therapeutic tools has shown the possibility of improving the modifiable risk factors and self-management of diabetes. OBJECTIVE: The aim of this study was to examine the clinical utility of a digital therapeutic intervention as an add-on therapy to achieve glycemic control in patients with T2DM. METHODS: This was a 12-week prospective, single-arm digital intervention study in patients with T2DM receiving regular antidiabetic treatment. The eligibility criteria included male and female patients with HbA1c≥6.5%, functional English literacy, and a mobile phone capable of running the intervention app. Outcome measures of the study were mean changes in HbA1c, fasting blood glucose (FBG), postprandial blood glucose (PPBG), BMI, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) index at the end of 12 weeks. RESULTS: A total of 128 participants completed the study period of 12 weeks. There were 54.7% (70/128) men and 45.3% (58/128) women with a mean age of 48.48 years (SD 10.27). At the end of 12 weeks, the mean change in HbA1c, FBG, PPBG, and BMI for the overall study population was -0.84% (P<.001), -8.39 mg/dl (P=.02), -14.97 mg/dl (P<.001), and -0.24 kg/m2 (P=.06), respectively. Among the participants showing improvement in the HbA1c value at the end of 12 weeks (responders), the mean change in HbA1c, FBG, PPBG, and BMI was -1.24% (P<.001), -12.42 mg/dl (P=.003), -21.45 mg/dl (P<.001), and -0.34 kg/m2 (P=.007), respectively. There was an increase in HOMA-IR values for the overall study population (0.54, P=.29). HbA1c response showed a significant association with a baseline HbA1c level ≥7.5%, no prior history of smoking, and no prior COVID-19 infection, as well as with higher levels of program engagement. CONCLUSIONS: A digital therapeutic intervention when used alongside standard medications significantly reduces HbA1c, FBG, and PPBG levels in patients with T2DM.

The correlation between diabetes mellitus and COVID-19 severity in Babylon Province

Compared to other pandemic diseases, COVID-19 had the highest transmission rate and high fatality risk. Diabetes is the hand was also one of the most frequent diseases among individuals. This study aimed to evaluate the relationship between diabetic patients infected by COVID-19 and some hematological parameters associated with diabetes and COVID-19.ICLE Patients with COVID-19 were diagnosed by PCR and/or chest computer topography (CT) scan, eight parameters were detected by AFIAS-6. The results of eight parameters for patients with diabetes mellitus infected with COVID-19 and patients with COVID-19 only showed that the Mean of Fasting Blood Glucose (FBG), glycated haemoglobin HbA1c, Insulin Sensitivity (INS) and ferritin show significant differences at (0.000, 0.000, 0.017, 0.000) respectively for the two groups, while insulin resistance (INR), insulin (IN), C-reactive protein (CRP) and D-dimer don’t show any significant differences for two groups, the statistical analysis performed at P-value ≤ 0.01 and 0.05. Infection duration results showed that the mean Insulin level (IN) and D-dimer show significant differences at (0.033 and 0.011) respectively for all infection duration categories, while FBG, HbA1c, INR, INS, CRP, and ferritin don’t show any significant differences for all day’s category. The Correlation Coefficients Between diabetes mellitus patients infected with COVID-19 and blood parameters highly correlated between FBG with INR at (0.647), HbA1c with IN at (0.078), INR with IN at (0.791), INS with CT-Scan at (0.058), CRP with D-dimer at (0.287), D-dimer with ferritin at (0.331), Ferritin with infection duration at (0.098). In conclusion, we find that the diabetes mellitus patients infected with COVID-19 suffer from a high increase of inflammatory proteins and parameters associated with diabetes compared to other patients infected with COVID-19 only, making them more susceptible to disease and more deaths compared to other people. © 2022, Bangladesh Society for Microbiology, Immunology and Advanced Biotechnology. All rights reserved.

Elevated Fasting Blood Glucose Levels Are Associated with Worse Clinical Outcomes in COVID-19 Patients Than in Pneumonia Patients with Bacterial Infections.

AIMS: We investigate how fasting blood glucose (FBG) levels affect the clinical severity in coronavirus disease 2019 (COVID-19) patients, pneumonia patients with sole bacterial infection, and pneumonia patients with concurrent bacterial and fungal infections. METHODS: We enrolled 2761 COVID-19 patients, 1686 pneumonia patients with bacterial infections, and 2035 pneumonia patients with concurrent infections. We used multivariate logistic regression analysis to assess the associations between FBG levels and clinical severity. RESULTS: FBG levels in COVID-19 patients were significantly higher than in other pneumonia patients during hospitalisation and at discharge (all p < 0.05). Among COVID-19 patients, the odds ratios of acute respiratory distress syndrome (ARDS), respiratory failure (RF), acute hepatitis/liver failure (AH/LF), length of stay, and intensive care unit (ICU) admission were 12.80 (95% CI, 4.80-37.96), 5.72 (2.95-11.06), 2.60 (1.20-5.32), 1.42 (1.26-1.59), and 5.16 (3.26-8.17) times higher in the FBG ≥7.0 mmol/L group than in FBG < 6.1 mmol/L group, respectively. The odds ratios of RF, AH/LF, length of stay, and ICU admission were increased to a lesser extent in pneumonia patients with sole bacterial infection (3.70 [2.21-6.29]; 1.56 [1.17-2.07]; 0.98 [0.88-1.11]; 2.06 [1.26-3.36], respectively). The odds ratios of ARDS, RF, AH/LF, length of stay, and ICU admission were increased to a lesser extent in pneumonia patients with concurrent infections (3.04 [0.36-6.41]; 2.31 [1.76-3.05]; 1.21 [0.97-1.52]; 1.02 [0.93-1.13]; 1.72 [1.19-2.50], respectively). Among COVID-19 patients, the incidence rate of ICU admission on day 21 in the FBG ≥ 7.0 mmol/L group was six times higher than in the FBG < 6.1 mmol/L group (12.30% vs. 2.21%, p < 0.001). Among other pneumonia patients, the incidence rate of ICU admission on day 21 was only two times higher. CONCLUSIONS: Elevated FBG levels at admission predict subsequent clinical severity in all pneumonia patients regardless of the underlying pathogens, but COVID-19 patients are more sensitive to FBG levels, and suffer more severe clinical complications than other pneumonia patients.

Vicious cycle between severity of childhood obesity and pandemic: Potential impact of metformin.

Introduction: COVID-19 is currently a global pandemic, and initial reports of identified COVID-19 lockdown and limitations can adversely affect childhood obesity and metabolic health. Studies conducted in recent years have shown that the rate of obesity in childhood increases with the changing lifestyle with the pandemic. However, there is insufficient data on how the situation changes and how metabolism is affected in those, who are already obese. The aim of this paper was to determine how the pandemic affects the current status, severity, and metabolic parameters of obese children. We also attempted to show potential effects of metformin therapy. Methods: The study was conducted with the participation of 101 patients with obesity (The mean age was 13.6 ± 2.2). The patients were evaluated using pre- and post-lockdown data with an interval of 6 months. The new classification system was used to determine the severity of obesity. All anthropometrics, metabolic parameters (Blood glucose, insulin, HbA1C, lipid profile), lifestyle, and comorbidities were evaluated by dividing the participants into various subgroups according to their obesity and metformin usage status. Results: Our data shows that weight, height, BMI, BMI-SD, and BMI percentiles all increased significantly, after the pandemic started. The severity of obesity increased statistically (overweight decreases and class 2 obesity increases, p = 0.001). No change was observed in metabolic parameters. Surprisingly, a significant increase was observed in insulin and HOMA-IR values in the group with-metformin. Discussion: Most studies about childhood obesity have only focused on obesity increases and pandemic relation. Our study showed that although there was no significant change in metabolic status at the end of a lockdown period, there was a serious increase in the severity of obesity. Metformin use had no effect on either obesity or metabolic parameters, and even an increase in insulin resistance indicators was observed.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

Background: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. Methods: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. Results: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P = 0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P < 0.001) and critical illness (4.4% vs. 0.5%, P = 0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P < 0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P = 0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. Conclusions: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Antecedentes: Pocos estudios han investigado el impacto del síndrome metabólico (SM) en la enfermedad por coronavirus 2019 (COVID-19). Describimos las características clínicas y el pronóstico de los pacientes con COVID-19 confirmados con SM durante la hospitalización y después del alta. Métodos: Se incluyó de forma retrospectiva a 233 pacientes con COVID-19 de los hospitales de 8 ciudades de Jiangsu (China). Se describieron sus características clínicas y se analizaron los factores de riesgo de enfermedad grave mediante un análisis de regresión logística. Resultados: De los 233 pacientes, 45 (19,3%) tenían EM. La mediana de edad de estos pacientes con EM fue significativamente mayor que la de los pacientes sin él (53,0 años frente a 46,0 años; p = 0,004). No hubo diferencias significativas en cuanto a los síntomas clínicos, las imágenes de TC torácica anormales y los fármacos de tratamiento entre los 2 grupos. Hubo más pacientes con EM que tuvieron enfermedades graves (33,3% frente a 6,4%; p < 0,001) y críticas (4,4% frente a 0,5%; p = 0,037) que los pacientes sin EM. Las proporciones de insuficiencia respiratoria y síndrome de dificultad respiratoria aguda en los pacientes con EM también fueron mayores que en los pacientes sin EM durante la hospitalización. El análisis multivariante mostró que la EM concurrente (odds ratio [OR] 7,668; intervalo de confianza [IC] del 95%: 3,062-19,201; p < 0,001) y la linfopenia (OR 3,315; IC del 95%: 1,306-8,411; p = 0,012) eran factores de riesgo independientes de COVID-19 grave. En una mediana de seguimiento de 28 días tras el alta, se encontró neumonía bilateral en el 95,2% de los pacientes con EM, mientras que solo la presentaron el 54,7% de los pacientes sin EM. Conclusiones: El 19,3% de los pacientes con COVID-19 tenían EM en nuestro estudio. Los pacientes con COVID-19 y EM son más propensos a desarrollar complicaciones graves y tienen peor pronóstico. Se debe prestar más atención a los pacientes con COVID-19 y EM.

J-shaped associations and joint effects of fasting glucose with inflammation and cytokines on COVID-19 mortality.

OBJECTIVES: The aim of this study was to investigate the dose-response relationship of admission fasting glucose (FBG) with corona virus disease 2019 (COVID-19) mortality and to further evaluate potential interactions of hyperglycemia with inflammation and hypercoagulation on COVID-19 outcomes. METHODS: This retrospective study included 2555 consecutively hospitalized patients with COVID-19, until death or discharge, in Wuhan Union hospital between January 1 and April 9, 2020. The poor early outcomes included admission to intensive care unit, intubation, and deaths occurring within 28 days. We used splines nested in Cox regression to visualize dose-response associations and generalized additive models to fit three-dimensional (3D) trend plots for joint effects of FBG with markers of inflammation and coagulation. RESULTS: J-shaped associations existed between hospitalized mortality or poor early outcomes and FBG with a nadir at 5 mmol/L, which were more evident in women. 3D plots demonstrated significant joint effect trends, and patients with hyperglycemia and high neutrophil-lymphocyte ratio, C-reactive protein, lactate dehydrogenase, procalcitonin, d-dimer, and interleukin-6 had 7.4-25.3-fold risks; the proportions of joint associations attributed to additive interactions reached 30% to 54%. CONCLUSIONS: FBG was associated with hospitalized mortality and poor early outcomes in a J-shaped manner, and a combination of hyperglycemia, inflammation, hypercoagulation, and cytokines conferred a dramatically higher risk.

Effect of elevated fasting blood glucose level on the 1-year mortality and sequelae in hospitalized COVID-19 patients: A bidirectional cohort study.

To observe the predictive effect of fasting blood glucose (FBG) level on the prognosis, clinical sequelae, and pulmonary absorption in hospitalized coronavirus disease 2019 (COVID-19) patients with and without a history of diabetes, respectively, and to evaluate the correlation between the dynamic changes of FBG and poor prognosis. In this bidirectional cohort study, we enrolled 2545 hospitalized COVID-19 patients (439 diabetics and 2106 without a diabetic history) and followed up for 1 year. The patients were divided according to the level of admission FBG. The dynamic changes of FBG were compared between the survival and the death cases. The prediction effect of FBG on 1-year mortality and sequelae was analyzed. The 1-year all cause mortality rate and in-hospital mortality rate of COVID-19 patients were J-curve correlated with FBG (p < 0.001 for both in the nondiabetic history group, p = 0.004 and p = 0.01 in the diabetic history group). FBG ≥ 7.0 mmol/L had a higher risk of developing sequelae (p = 0.025) and have slower recovery of abnormal lung scans (p < 0.001) in patients who denied a history of diabetes. Multivariable Cox regression analysis showed that FBG ≥ 7.0 mmol/L was an independent risk factor for the mortality of COVID-19 regardless of the presence or deny a history of diabetes (hazard atio [HR] = 10.63, 95% confidence interval [CI]: 7.15-15.83, p < 0.001; HR = 3.9, 95% CI: 1.56-9.77, p = 0.004, respectively). Our study shows that FBG ≥ 7.0 mmol/L can be a predictive factor of 1-year all-cause mortality in COVID-19 patients, independent of diabetes history. FBG ≥ 7.0 mmol/L has an advantage in predicting the severity, clinical sequelae, and pulmonary absorption in COVID-19 patients without a history of diabetes. Early detection, timely treatment, and strict control of blood glucose when finding hyperglycemia in COVID-19 patients (with or without diabetes) are critical for their prognosis.

Study on yoga practices and biochemical, physical and physiological alterations: A perspective on yoga as preventive strategy against COVID 19

Background: During the COVID pandemic period, our home-restricted life led to many undesirable physical, physiological, and mental alterations. Yoga a traditional system of medicines by virtue of its holistic approach toward health and disease and also due to reasonable cost, the technique has an edge in dealing with health problems and with primary prevention of disease. Aim: The current study has been designed to assess the effect of short-term (for 3 months for 5 days in a week or 40 days) yoga practice on lipid profile, and blood glucose level, C-reactive protein (CRP), and other physical and physiological parameters among healthy controls. Materials and Methods: Students went for yoga practice for 3 months (90 days) for 5 days in a week under the supervision of trained yoga instructor. Yoga activity was conducted via Google Meet app through broadband connectivity. The procedure began with Surya Namaskar (Sun Saluation) with a session of 12 asanas (fixed postures) for 20 min, followed by 15 min Pranayam (breathing exercise including anulome-vilome, surya bandana, sheetali, and bhramari). The session ended with 10 min meditation. Yoga program was started on September 27, 2020, and ended on December 27, 2020, after the completion of 3 months. Biochemical investigation (lipid profile, fasting blood glucose, CRP) and physiological parameters (blood pressure [BP], pulse), and other anthropometric parameters including weight, height body mass index reports were collected before September 27 and after December 27 in 5 days after the completion of 3 months tenure. Results: Results of the study clearly indicate fasting sugar, systolic BP, and low-density lipoprotein were significantly decreased (with value <0.02, 0.007, and 0.001, respectively) in the postyoga phase as compared to preyoga baseline investigation. Conclusion: The The present study substantiates some good results of the yoga training. Although all the tested parameters could not show desired changes and they were statistically insignificant. © 2022 Journal of Datta Meghe Institute of Medical Sciences University ;Published by Wolters Kluwer - Medknow.

Adherence to physical exercise recommendations among type 2 diabetes patients during the COVID-19 pandemic.

Background: In the era of the COVID-19 pandemic, nonadherence to the recommended physical exercise for diabetic patients is a difficult issue. Regular physical exercise is critical for reducing further complications of diabetes mellitus and the COVID-19 pandemic. The purpose of this study was to determine the predictors of type 2 adult diabetes patients' exercise recommendations during the COVID-19 pandemic. Methods: An institution-based cross-sectional study was conducted among 576 diabetes mellitus patients from August 1, 2020, to September 28, 2020. A systematic random sampling technique was used to select the study participants. An interviewer-administered questionnaire was used to collect the data. Frequency tables and percentages were used to explain the study variables. A binary logistic regression was used to investigate the relationship between the dependent and independent variables. Result: A total of 576 diabetes mellitus patients participated in the study, with a response rate of 99.3%. The overall prevalence of exercise adherence was 26.4%, whereas 73.6% were non-adherents to exercise recommendations. Rural residency (AOR = 1.95, 95% CI: 1.16-3.27) and COVID-19 related knowledge (AOR = 9.95, 95% CI: 41.14-5.24) were both strongly associated with exercise recommendations. Conclusion: In this study, only one-fourth of patients had exercised adherence during the era of the COVID-19 pandemic. Knowledge about COVID-19 was one of the factors that was strongly associated with adherence to exercise recommendations for diabetes patients. During the COVID-19 pandemic, encouraging home-based exercises can improve adherence to exercise recommendations.

The Association Between Proton Pump Inhibitors and COVID-19 is Confounded by Hyperglycemia in a Population-Based Study.

Background and Aims: There is conflicting evidence regarding the association between proton pump inhibitors (PPI) and the risk of acquisition and severity of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Aim: To evaluate the association between PPI exposure and infection and development of severe disease in patients infected with SARS-CoV2in a large population-based historical cohort. Methods: Data were extracted from a health maintenance organization database in Israel that insures over 1,200,000 individuals from across the country. All patients who underwent SARS-CoV-2 testing between March and November 2020 were included. Logistic regression and matched analyses were used to compare patients prescribed and exposed to PPIs to those not prescribed PPIs regarding SARS-CoV-2 positivity. In addition, among SARS-CoV-2 positive patients (n = 44,397) the likelihood of developing severe disease, defined by a composite endpoint of death, ICU admission and prolonged hospitalization, was compared in those exposed and not exposed to PPIs. Results: Among 255,355 adult patients who underwent SARS-CoV-2 testing by PCR, 44,397 (17.4%) were positive for SARS-CoV-2 and 12,066 (4.7%) patients were prescribed PPIs in the 3 months before testing. In a multivariable logistic regression model controlling for age, gender, smoking status, BMI, diabetes mellitus, hypertension, COPD, history of ischemic heart disease and fasting blood glucose (FBG) levels, no significant association was found between PPIs and SARS-CoV-2 positivity (p = 0.09 aOR 0.94, 95% CI - 0.88-1.01). Among SARS-CoV-2 positive patients, 910 (2%) had a severe infection. Multivariate logistic regression controlling for the abovementioned confounders, showed no such association between PPIs and severe COVID-19 (p = 0.28). Elevated FBG levels were significantly associated with both PPI exposure (p < 0.001) and severe COVID-19 infection (p < 0.001). These results were reinforced by a matched analysis (n = 655 pairs). Conclusion: PPIs are spuriously associated with severe COVID-19 due to the presence of elevated FBG as a confounder. Our study accounted for the FBG levels of patients and known risk factors for severe COVID-19 infection, which may be the reason for the discrepancy in prior studies. These results may aid in understanding potential confounders when evaluating potential associations of PPIs with other respiratory or viral diseases.

The risk factor for instability metabolic health and severity.

Coronavirus disease -19 (COVID-19) pandemic has extended from late 2019 and continues to this day. The degree of the disease is related to some factors, including age and comorbidities. Obesity is now more widely considered as a main factor of infection, mainly because it has been shown that individuals who are obese have a more severe course of infection with COVID-19. This review study summarized the relationship between the risk of obesity and COVID-19 and detected a difference in reporting from the period of the first pandemic in China to more recent studies. Obesity is a risk factor for developing signs and symptoms of patients with COVID-19 and this review will benefit clinicians by recognizing the role of obesity when giving COVID-19 diagnosis, follow-up, and treatment programs.

Dysglycemia after COVID-19 pneumonia: a six-month cohort study.

AIM: The aim of this study was to understand whether the dysglycemia associated with SARS-CoV-2 infection persists or reverts when the viral infection resolves. METHODS: We analyzed fasting blood glucose (FBG) after hospital discharge in a cohort of 621 adult cases with suspected COVID-19 pneumonia. RESULTS: At admission, 18.8% of the patients in our cohort had pre-existing diabetes, 9.3% fasting glucose in the diabetes range without a prior diagnosis (DFG), 26% impaired fasting glucose (IFG), 44.9% normal fasting glucose (NFG), while 2% had no FBG available. FBG categories were similarly distributed in the 71 patients without confirmed COVID-19 pneumonia. During follow-up (median time 6 month) FBG was available for 321 out of the 453 (70.9%) surviving patients and showed a trend to a marginal increase [from 97 (87-116) to 100 (92-114) mg/dL; p = 0.071]. Transitions between FBG categories were analyzed in subjects without pre-existing diabetes (265 out of 321). We identified three groups: (i) patients who maintained or improved FBG during follow-up [Group A, n = 185; from 100 (86-109) to 94 (88-99) mg/dL; p < 0.001]; (ii) patients who moved from the NFG to IFG category [Group B, n = 66: from 89 (85-96) to 106 (102-113) mg/dl; p < 0.001]; (iii) patients who maintained or reached DFG during follow-up [Group C, n = 14: from 114 (94-138) to 134 (126-143) mg/dl; p = 0.035]. Male sex and ICU admission during the hospitalization were more prevalent in Group C compared to Group A or B. CONCLUSIONS: Six months after the SARS-CoV-2 infection DFG was evident in only few patients who experienced severe COVID-19 pneumonia.

Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes.

This retrospective study examined changes in fasting blood glucose (FBG) levels during hospitalization and their effect on risk of death for Coronavirus disease 2019 (COVID-19) patients without previously diagnosed diabetes. A model with low- and high-stable pattern trajectories was established based on a longitudinal change in FBG levels. We analyzed FBG trajectory-associated clinical features and risk factors for death due to COVID-19. Of the 230 enrolled patients, 44 died and 87.83% had a low-stable pattern (average FBG range: 6.63-7.54 mmol/L), and 12.17% had a high-stable pattern (average FBG range: 12.59-14.02 mmol/L). There were statistical differences in laboratory findings and case fatality between the two FBG patterns. Multivariable logistic regression analysis showed that increased neutrophil count (odds ratio [OR], 25.43; 95% confidence interval [CI]: 2.07, 313.03), elevated direct bilirubin (OR, 5.80; 95%CI: 1.72, 19.58), elevated creatinine (OR, 26.69; 95% CI: 5.82, 122.29), lymphopenia (OR, 8.07; 95% CI: 2.70, 24.14), and high-stable FBG pattern (OR, 8.79; 95% CI: 2.39, 32.29) were independent risk factors for higher case fatality in patients with COVID-19 and hyperglycemia but no history of diabetes. FBG trajectories were significantly associated with death risk in patients with COVID-19 and no diabetes.

Elevated fasting blood glucose within the first week of hospitalization was associated with progression to severe illness of COVID-19 in patients with preexisting diabetes: A multicenter observational study.

Highlights Fasting blood glucose < 10 mmol/L was proposed as a target of glycemic control during the first week of hospitalization in patients with preexisting diabetes. Poor HbA1c levels prior to coronavirus disease 2019 (COVID-19) might not be associated with severity among patients with preexisting diabetes. Mean blood glucose seemed not to be associated with poor prognosis of COVID-19.