Organizational intervention to improve access to retinopathy screening for patients with diabetes mellitus: health care service improvement project in a tertiary public hospital.

INTRODUCTION: The aim of this study was to improve the access to diabetic retinopathy (DR) screening with retinographies in a tertiary care center through a process conducted by an interdisciplinary group driven by a nurse. MATERIALS AND METHODS: This is a quality improvement study that evaluated the flow for DR screening conducted by an interdisciplinary group using the Plan-Do-Study-Act methodology. As a result measure, we assessed the quantity of retinographies performed after the project implementation, the proportion of patients who presented abnormal retinographies, and the proportion of patients referred to a specialist. RESULTS: The new patient screening flow and the reinforcement of available human resources led to an increase in the number of retinographies performed and screened patients. A total of 1184 retinographies were conducted, and it was possible to observe DR alterations in 37.8 % patients, of which only 6 % needed to be referred to the DR reference center. CONCLUSIONS: This study showed a significant increase in the number of retinographies performed. The Plan-Do-Study-Act methodology was an important tool to improve the flow of patient access to fundus images, helping to consistently and continuously improve these processes.

The power of the placebo effect in diabetes: A systematic review and meta-analysis.

This review aims to identify the magnitude of the placebo effect in people with type 2 diabetes mellitus. Literature research was conducted Medline, Embase and Virtual Health Library for studies published between the date of inception and June 2021. The eligibility criteria included randomized controlled trials, showing comparison to placebo, having participants with type 2 diabetes mellitus, and having glycated hemoglobin (HbA1c) as the primary outcome. Meta-analysis was conducted with the effect of changing HbA1c in relation to the baseline. Exploration of heterogeneity was performed.The meta-analysis showed an increase in the average of HbA1c compared to the baseline of 0.14% (95% CI: 0.07-0.21). There was a significant difference between follow-up times (p = 0.03) and between administration routes (p = 0.01), with an increase in HbA1c in the oral route [0.15% (95% CI: 0.07-0.23)]. The meta-regression of the year of publication showed a significant downward trend (p = 0.01) of the increase in HbA1c compared to the baseline.In this study, the expected placebo effect of Hba1c reduction was not found; instead, higher Hba1c levels were observed in the control groups, although this effect was reduced over the years. Registration: PROSPERO ID CRD42020172797.

Adjusting to the "new normal": How were mental health and self-care affected in patients with diabetes mellitus 1 year into the COVID-19 crisis? A longitudinal study.

This study aimed to assess the long-term effect of the pandemic on mental health and self-care parameters in patients with diabetes during the COVID-19 pandemic in Brazil. After 18 months of pandemic, 118 participants remained in the study (mean age of 56.6 ± 13.4 years, 66.7% were women). We observed no change in the scores for mental health disorders screening. Regarding self-care, patients with type 1 diabetes showed an improvement in the adherence score compared to those found at the beginning of the pandemic (variation + 3.5 (-6.0 to +15.8) points, p = 0.02), and also compared to those with type 2 diabetes. Although the pandemic have negatively affected many people's mental health, especially in those with chronic diseases, our results show that patients with diabetes may have developed good coping and adaptive strategies to maintain diabetes control and symptom pattern of mental health disorders over the course of the pandemic.

Lifestyle pattern changes, eating disorders, and sleep quality in diabetes: how are the effects of 18 months of COVID-19 pandemic being felt?

AIMS: The pandemic resulted in a lifestyle crisis which may negatively affect patients with diabetes. Despite current knowledge, there is a lack of longitudinal studies evaluating this effect. To assess patients' perceptions about changes in lifestyle, and eating and sleeping patterns after 18 months of the COVID-19 pandemic, and to identify if aspects related to the pandemic (social distancing, COVID-19 infection, behavioral changes, and financial difficulties) are predictors of worsening in eating and sleeping parameters. METHODS: This was a longitudinal study that followed patients with diabetes from April 2020 to July 2021 in Southern Brazil. Individuals with type 1 or type 2 diabetes, aged ≥ 18 years, were included. The outcome of this study was the assessment of daily habits during a 18-month period of the COVID-19 pandemic. Specific questionnaires were applied once participants were included in this study (3 months after the onset of the pandemic) and at the 18-month follow-up, which included the Eating Attitudes Test-26 (EAT-26), the Mini-Sleep Questionnaire (MSQ), and a specific questionnaire on diet, physical activity, and sleep pattern. Data were compared within and between groups (type 1 and type 2 diabetes), and multivariable models were used to identify subgroups of worse outcomes. RESULTS: A total of 118 (78.6%) participants remained in the study at follow-up (mean age 54.6 ± 13.9 years, 41.3% male). In total, 33.9% of participants perceived weight gain during the pandemic, especially those with type 1 diabetes (43.1% vs 25.0% in type 2 diabetes, P = 0.04). About one in four participants reported emotional eating and changes in their eating habits for financial reasons. Regarding sleep patterns, more than half the participants reported taking naps during the day, out of which 30.5% of them perceived worse sleep quality, with no difference between type 1 and type 2 diabetes groups. There were no within-group differences in MSQ and EAT-26 scores. Among participants with type 2 diabetes, age ≥ 60 years (OR 27.6, 95%CI 2.2-345.7), diabetes duration ≥ 15 years (OR 28.9, 95%CI 1.4-597.9), and perceived emotional eating (OR 10.9, 95%CI 1.1-107.5) were associated with worsened food quality. Worse sleep quality during the pandemic was associated with age ≥ 60 years for both type 2 diabetes (OR 5.6, 95%CI 1.1-31.5) and type 1 diabetes (OR 5.5, 95%CI 1.0-29.9). CONCLUSIONS: Follow-up data from a cohort of patients with diabetes indicate that at the end of 18 months of social distancing, some lifestyle aspects worsened and some improved, showing that these patients responded differently to the adversities of this period. The evidence of clinical features associated with worsening in food and sleep quality provides new insights to prioritizing actions in crisis situations.

Healthy lifestyle gone bad: effect of the COVID-19 pandemic on the daily habits of children and adolescents with type 1 diabetes.

Objective: To assess caregivers' perception about the changes in the daily habits of children and adolescents with type 1 diabetes during the COVID-19 pandemic. Subjects and methods: Primary caregivers of youth aged ≤18 with or without type 1 diabetes were selected for the diabetes and the control groups. Caregivers estimated the youth's time (hours) of physical activity and screen time before and during the pandemic, and rated the quality of eating habits and medication adherence from 0 to 10. The primary outcome was the change in physical activity time, screen time, and eating habits scores during isolation. Between-group analyses and within-group comparisons were conducted. A post hoc analysis was performed using logistic regression to correct for confounding factors. Results: In total, 764 participants were included (381 diabetes group vs. 383 control group). Before the pandemic, the diabetes group presented a reduced median of physical activity (P < 0.001) and screen time (P < 0.001). During the pandemic, the difference between both groups remained similar (P = 0.58). Scores of quality of eating habits were similar in both groups before the pandemic [8.0 (7.0-9.0) vs. 8.0 (7.0-9.0), P = 0.31] but decreased during the pandemic [7.0 (5.1-8.1) vs. 8.0 (6.0-9.0), P < 0.001]. The diabetes group had a significantly worse change in eating habits scores (P < 0.01). Conclusion: During the pandemic, eating habits were significantly worse in youth with diabetes than in those without diabetes.

Optimization of Care for Adult Outpatients With Type 2 Diabetes Through the Diabetes Self-Management Multidisciplinary Program: A Randomized Clinical Trial.

OBJECTIVES: Our aim in this study was to evaluate the efficacy of a Self-Management Multidisciplinary Program (MP) on glycemic management, quality of life and diabetes self-care activities. METHODS: People with type 2 diabetes and glycated hemoglobin (A1C) of >7.5% were randomized to participate in the MP or to usual care (UC). The MP consisted of face-to-face meetings with each health-care provider (nurse, pharmacist, dietitian, physical educator and social worker) to approach diabetes self-management issues. MP topics were tailored toward local habits and culture. Three different modules were offered over 12 weeks. The primary outcome was change in A1C from baseline to 12 months. Diabetes Quality of Life and Summary of Diabetes Self-Care Activities questionnaires were assessed at baseline and at 6 and 12 months. RESULTS: Ninety-six participants were included (mean 59 years of age, 60% women, diabetes duration 16±10 years, 62% of lower middle/low socioeconomic status). Change in A1C at 12 months (UC: 0.52% [95% confidence interval, -1.07 to 0.04]; MP: -0.30% [95% confidence interval, -1.05 to 0.44]; p=0.33) was not different between the groups. There was an increase in satisfaction and a reduction in worry about future effects of diabetes in the MP group, which was not found in the UC group. CONCLUSIONS: A short-term self-management multidisciplinary program improved diabetes-related quality of life but failed to reduce A1C in individuals with longstanding type 2 diabetes and a low socioeconomic status.

The impact of dietary, surgical, and pharmacological interventions on gut microbiota in individuals with diabetes mellitus: A systematic review.

AIMS: To conduct a systematic review assessing the association between dietary, surgical, and pharmacological interventions and changes in the gut microbiota of individuals with diabetes. METHODS: The MEDLINE, EMBASE, and Cochrane Library databases were searched focusing on the effects of dietary, bariatric surgery, and pharmacological interventions on gut microbiota in adults with diabetes. Studies were classified based on qualitative changes using a simple vote-counting method, evaluating reduction, no effect, or an increase in the gut microbiota outcomes. RESULTS: 6,004 studies were retained to review their titles and abstracts. A total of 149 full-text articles were reassessed, of which 49 were included in the final analysis. This review indicates that dietary, surgical, and pharmacological interventions increase or decrease bacterial populations from more than 60 families, genera, or species. In general, the interventions led to an increase in the bacterial population from phylum Firmicutes, mainly Lactobacillus species, compared to the gram-negative bacterial population from phylum Bacteroidetes. CONCLUSIONS: The results of the included studies suggest that interventions aimed at reducing species related to uncontrolled diabetes and increasing species related to the healthy gut are potential adjuvants in treating diabetes; however, well-conducted interventional studies targeting gut microbiota are necessary.

Healthy lifestyle gone bad: effect of the COVID-19 pandemic on the daily habits of children and adolescents with type 1 diabetes

ABSTRACT Objective: To assess caregivers' perception about the changes in the daily habits of children and adolescents with type 1 diabetes during the COVID-19 pandemic. Subjects and methods: Primary caregivers of youth aged ≤18 with or without type 1 diabetes were selected for the diabetes and the control groups. Caregivers estimated the youth's time (hours) of physical activity and screen time before and during the pandemic, and rated the quality of eating habits and medication adherence from 0 to 10. The primary outcome was the change in physical activity time, screen time, and eating habits scores during isolation. Between-group analyses and within-group comparisons were conducted. A post hoc analysis was performed using logistic regression to correct for confounding factors. Results: In total, 764 participants were included (381 diabetes group vs. 383 control group). Before the pandemic, the diabetes group presented a reduced median of physical activity (P < 0.001) and screen time (P < 0.001). During the pandemic, the difference between both groups remained similar (P = 0.58). Scores of quality of eating habits were similar in both groups before the pandemic [8.0 (7.0-9.0) vs. 8.0 (7.0-9.0), P = 0.31] but decreased during the pandemic [7.0 (5.1-8.1) vs. 8.0 (6.0-9.0), P < 0.001]. The diabetes group had a significantly worse change in eating habits scores (P < 0.01). Conclusion: During the pandemic, eating habits were significantly worse in youth with diabetes than in those without diabetes.

Accuracy of ultrasound diagnosis of nonalcoholic fatty liver disease in patients with classes II and III obesity: A pathological image study.

Liver biopsy is the gold standard method to diagnose nonalcoholic fatty liver disease (NAFLD). However, ultrasound is widely recommended as the first-line imaging test for individuals with suspected NAFLD. This study aimed to estimate the accuracy of ultrasound as a screening test for NAFLD compared to liver biopsy in a cohort of patients with class II and III obesity undergoing bariatric surgery. This retrospective study included patients undergoing Roux-en-Y gastric bypass in southern Brazil between 2010 and 2019 who were screened for NAFLD with both ultrasound and liver biopsy. All samples were collected by a core biopsy needle and were analyzed by the same pathologist. Sensitivity, specificity, and positive and negative predictive values of ultrasound were estimated. The final database included 227 patients, mostly female (84%) and white (83.6%), with a mean age of 42.5 ± 10.2 years and a mean preoperative body mass index of 49.5 ± 8.4 kg/m2. A total of 153 subjects (67.4%) were diagnosed with NAFLD through liver biopsies: 41 (18%) had fatty liver and 112 (49.3%) had nonalcoholic steatohepatitis. Ultrasound sensitivity was 88.9% and specificity was 44.6%. Positive and negative predictive values were 76.8% and 66.0%, respectively. Positive likelihood ratio was 1.6 (95% CI 1.30-1.98), and negative likelihood ratio was 0.25 (95% CI 0.15-0.42). Therefore, approximately three every four subjects with an ultrasound suggesting NAFLD were true positives. Ultrasound showed a good sensitivity in detecting NAFLD in patients with class II and III obesity.

Predictors of traffic events due to hypoglycemia in adults with type 1 diabetes: A Brazilian prospective cohort study.

BACKGROUND: Individuals with type 1 diabetes (T1D) are exposed to an elevated risk of automobile accidents especially because of hypoglycemia that impairs physiological and defense responses. OBJECTIVES: To assess local risk factors for traffic events in T1D adult Brazilian patients. METHODS: This is a prospective study and 12-month follow-up to assess predictors for traffic events on a cohort of drivers with T1D (n = 168) in Brazil. The inclusion criteria for participants were Brazilian nationality, age ≥ 18 years-old, diagnosis of T1D for more than one year, driving license B, C or D categories (four-wheel vehicles), driving three-times per week or more, and checking blood glucose twice-daily or more. The primary outcome was hypoglycemia driving mishaps assessed by a seven-query questionnaire about the past 30 days. Secondary outcomes included driving mishaps not related to hypoglycemia. Statistical analysis was performed through Poisson regression models with robust variance estimarion, in which the measure of association is the relative risk. RESULTS: A total of 109 participants completed the 12-month follow-up. Most of them were men (66%) and 37 ± 11 years-old, and had a mean HbA1c of 8.2% (66 mmol/mol). In the follow up, the incidence of traffic events was high (70.6%); however, only a minority was attributed to hypoglycemia as the cause of the reported event (19.3%). The best predictors for new traffic events due to hypoglycemia were those related to driving characteristics. The best of them was a history of episodes of hypoglycemia while driving [RR 3.40 (1.22-9.43); p < 0.05]. CONCLUSIONS: We found that previous episodes of hypoglycemia while driving significantly increase the risk of new traffic events and are the best predictor for it. This highlights the need to assess the risks of traffic accidents especially in people who have had experienced episodes of hypoglycemia while driving.

"Not having a minute of self-distancing during the social distancing is exhausting": a qualitative study on the perspective of caregivers of youth with type 1 diabetes during the COVID-19 pandemic.

OBJECTIVE: To investigate the impact of the COVID-19 pandemic on caregivers of youth with type 1 diabetes. METHODS: We performed a qualitative research based on an open-ended questionnaire that was conducted through an online platform for primary caregivers of children and adolescents with type 1 diabetes. Participants were asked to describe the impact of the COVID-19 outbreak on their caring for youth with diabetes, as well as the emotional burden that it has brought to their personal lives. Interview responses were coded and stratified by youth age: ≤ 12 years (youth aged ≤ 12 years) and between 13 and 18 years (youth aged > 12 years). The connections between the responses were identified based on either positive or negative content of the reported experience. Data were analyzed in accordance with an inductive reasoning methodology. RESULTS: A total of 318 participants (mean age of 40.3 ± 8.1 years old) were included, representing caregivers of youth aged 11.7 ± 4.3-year-old with diabetes duration of 5.1 ± 3.8 years. The preponderance of negative feelings was noteworthy. Regarding diabetes care, more than 80% of participants reported concern and anxiety about the changes in habits that accompanied the pandemic. Also, more than half of caregivers regretted the isolation of their youth, factors that were associated with greater difficulty in achieving good glycemic control. Regarding the personal burden experienced, the negative impact of uncertainties and concerns about the COVID-19 were present in almost all participants. CONCLUSION: The period of pandemic may lead to exhaustion in caregivers of youths with type 1 diabetes, which reflects the need for mental health support strategies to help those families.

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.

The rational treatment of diabetes mellitus in older adults: The adequacy of treatment decisions based on individualized glycemic targets in primary and tertiary care.

OBJECTIVES: To access the adequacy of treatment decisions in accordance with current recommendations for individualizing glycemic targets in primary and tertiary care. METHODS: This multicenter cross-sectional study was conducted with a cohort of older type 2 diabetes patients from southern Brazil. Inclusion criteria were age over 65 years, having a previous diagnosis of type 2 diabetes (according to ADA criteria) and having at least two consultations registered in the medical records within one year. The primary outcome was the adequacy of treatment decisions according to pre-established HbA1c targets, which was compared with the complexity of care. The ideal HbA1c targets were: (1) 7-7.5% for an estimated life expectancy >10 years; (2) 7.5-8% for a life expectancy of 5-10 years; (3) 8-8.5% for a life expectancy <5 years. For analysis, the chi-square test was used for categorical variables and the t-test was used for continuous variables. RESULTS: Overall, 49.1% and 50.3% of the patients in the primary and tertiary care groups, respectively, received inadequate management. In patients whose HbA1c level was over target, the treatment was intensified in 46.3% and 51.2% of the primary and tertiary care groups, respectively (p = 0.57). In patients whose HbA1c level was under target, treatment was de-intensified in 5.9% and 26.2% in the primary and tertiary care groups, respectively (p <0.01). CONCLUSION: Treatment changes based on individualized glycemic targets do occur in a minority of patients, which reflects the need for new strategies to facilitate individualized treatment targets and optimize the treatment adequacy in older adults.

The effect of probiotics, prebiotics or synbiotics on metabolic outcomes in individuals with diabetes: a systematic review and meta-analysis.

AIMS/HYPOTHESIS: The aim was to conduct a systematic review and meta-analysis of randomised controlled clinical trials assessing the effect of probiotic, prebiotic or synbiotic supplementation on gut microbiota and glucose control and lipid levels in individuals with diabetes. METHODS: MEDLINE, EMBASE and the Cochrane Library were searched. The eligibility criteria for the studies was involvement of participants with a diagnosis of type 1 or type 2 diabetes. Metabolic outcomes (glucose control, insulinaemia, and lipid profile) of any probiotic, prebiotic or synbiotic supplementation related to modification of gut microbiota (prebiotics, probiotics and synbiotics) were analysed. We provided a narrative synthesis and meta-analysis of the findings on metabolic outcomes from the studies. Metabolic outcomes were extracted post-intervention and expressed as mean differences (MDs) and 95% CIs between treatment and comparator groups. We pooled the results using a random-effects meta-analysis. The meta-analysis was conducted using Review Manager (RevMan) software. RESULTS: After the removal of duplicates and ineligible studies, 5219 studies were retained for review of titles and abstracts. The number of articles was reduced to 130 by review, for which the full-text articles were obtained and reassessed, 38 of which were included in the final meta-analysis. Overall, the use of prebiotics, probiotics or synbiotics reduced HbA1c levels, but did not reach the threshold for significance (-2.17 mmol/mol, 95% CI -4.37, 0.03; p = 0.05, [-0.20%, 95% CI -0.40 to 0.00; p = 0.05, I2 = 66%]) and had no effect on LDL-cholesterol levels (-0.05 mmol/l; 95% CI -0.14, 0.05, p = 0.35, I2 = 37%). However, their consumption decreased levels of fasting blood glucose (-0.58 mmol/l; 95% CI -0.86, -0.30; p < 0.01, I2 = 60%), total cholesterol (-0.14 mmol/l; 95% CI -0.26, -0.02, p = 0.02, I2 = 39%), triacylglycerols (-0.11 mmol/l; 95% CI -0.20, -0.02, p = 0.01, I2= 21%) and insulinaemia (-10.51 pmol/l; 95% CI -16.68,-4.33, p < 0.01, I2 = 74%), and increased HDL-cholesterol levels (0.04 mmol/l; 95% CI 0.01, 0.07, p < 0.01, I2= 24%). CONCLUSIONS/INTERPRETATION: In individuals with diabetes mellitus, supplementation with probiotics, prebiotics or synbiotics improved metabolic variables, although the magnitude of this effect is low. Our results suggest that consumption of probiotics, prebiotics or synbiotics may be a potential adjuvant treatment for improving metabolic outcomes. REGISTRATION: PROSPERO ID CRD42017080071. Graphical abstract.

Development and Validation of a Predictive Model of Success in Bariatric Surgery.

PURPOSE: There are no criteria to establish priority for bariatric surgery candidates in the public health system in several countries. The aim of this study is to identify preoperative characteristics that allow predicting the success after bariatric surgery. MATERIALS AND METHODS: Four hundred and sixty-one patients submitted to Roux-en-Y gastric bypass were included. Success of the surgery was defined as the sum of five outcome variables, assessed at baseline and 12 months after the surgery: excess weight loss, use of continuous positive airway pressure (CPAP) or bilevel positive airway pressure (BiPAP) as a treatment for obstructive sleep apnea (OSA), daily number of antidiabetics, daily number of antihypertensive drugs, and all-cause mortality. Partial least squares (PLS) regression and multiple linear regression were performed to identify preoperative predictors. We performed a 90/10 split of the dataset in train and test sets and ran a leave-one-out cross-validation on the train set and the best PLS model was chosen based on goodness-of-fit criteria. RESULTS: The preoperative predictors of success after bariatric surgery included lower age, presence of non-alcoholic fatty liver disease and OSA, more years of CPAP/BiPAP use, negative history of cardiovascular disease, and lower number of antihypertensive drugs. The PLS model displayed a mean absolute percent error of 0.1121 in the test portion of the dataset, leading to accurate predictions of postoperative outcomes. CONCLUSION: This success index allows prioritizing patients with the best indication for the procedure and could be incorporated in the public health system as a support tool in the decision-making process.

Evaluation of severe hypoglycemia and common mental disorders in patients receiving insulin analogues for treatment of type 1 diabetes.

This is a retrospective report of the frequency of severe hypoglycemia and the association between common mental disorders and type 1 diabetes mellitus treated with insulin analogues. Patients with severe hypoglycemia compared with those without this complication had a higher prevalence of positive screening for common mental disorders (88% vs. 77%, respectively, p = 0.03).

Dexamethasone in the era of COVID-19: friend or foe? An essay on the effects of dexamethasone and the potential risks of its inadvertent use in patients with diabetes.

BACKGROUND: The disclosure in the media of a benefit with the use of dexamethasone in patients with COVID-19 infection sets precedents for self-medication and inappropriate use of corticosteroids. METHODS: This is a critical interpretive synthesis of the data available in the literature on the effects of the use of corticosteroids and the impact that their indiscriminate use may have on patients with diabetes. Reviews and observational and experimental studies published until June 18, 2020 were selected. RESULTS: Corticosteroids are substances derived from cholesterol metabolism that interfere with multiple aspects of glucose homeostasis. Interactions between corticoid receptors and target genes seem to be among the mechanisms responsible for the critical functions of glucocorticoids for survival and anti-inflammatory effects observed with these medications. Corticosteroids increase hepatic gluconeogenesis, reduce peripheral use of glucose and increase insulin levels. Previous studies have shown that glucocorticoids have a pro-adipogenic function, increasing deposition of abdominal fat, and lead to glucose intolerance and hypertriglyceridemia. In addition, these drugs play a role in controlling liver metabolism and can lead to the development of hepatic steatosis. Glucocorticoids reduce the recruitment of osteoblasts and increase the number of osteoclasts, which results in increased bone resorption and greater bone fragility. Moreover, these medications cause water and sodium retention and increase the response to circulating vasoconstrictors, which results in increased blood pressure levels. Chronic or high-dose use of corticosteroids can, by itself, lead to the onset of diabetes. For those who were already diagnosed with diabetes, studies show that chronic use of corticosteroids leads to a 94% higher risk of hospitalization due to diabetes complications. In addition to the direct effects on glycemic control, the effects on arterial pressure control, lipids and bone metabolism also have a potential for severe consequences in patients with diabetes. CONCLUSION: Fear and uncertainty toward a potentially serious infection may lead people to self-medication and the inappropriate and abusive use of corticosteroids. More than ever, it is necessary for health professionals to be alert and able to predict damages related to the use of these drugs, which is the first step to minimize the potential damages to come.