ABSTRACT
INTRODUCTION: Sodium glucose co-transporter-2 inhibitors (SGLT-2i) are increasingly being used among hospitalized patients. Our objective was to assess the risk of diabetic ketoacidosis (DKA) among hospitalized patients receiving an SGLT-2i. RESEARCH DESIGN AND METHODS: We conducted a multicentre cohort study of patients hospitalized at 19 hospitals. We included patients over 18 years of age who received an SGLT-2i or a dipeptidyl peptidase-4 inhibitor (DPP-4i) in hospital. The primary outcome was the risk of DKA during their hospitalization. RESULTS: 61,517 patients received a DPP-4i and 11,061 received an SGLT-2i. The risk of inpatient DKA was 0.07 % (N = 41 events) among adults who received a DPP-4i and 0.18 % (N = 20 events) among adults who received an SGLT-2i; adjusted odds ratio of 3.30 (95 % CI: 1.85-5.72). CONCLUSIONS: In hospitalized patients, the absolute risk of DKA was 0.2 %, which corresponded to a three-fold higher relative risk.
Subject(s)
Blood Glucose , Critical Illness , Humans , Critical Illness/therapy , Blood Glucose/metabolism , Blood Glucose/drug effects , Blood Glucose/analysis , Hyperglycemia/drug therapy , Hyperglycemia/blood , Critical Care/methods , Glycemic Control/methods , Hypoglycemic Agents/therapeutic use , Intensive Care Units , Insulin/administration & dosageABSTRACT
OBJECTIVES: International Classification of Diseases (ICD) codes are commonly used to identify cases of diabetic ketoacidosis (DKA) in health services research, but they have not been validated. Our aim in this study was to assess the accuracy of ICD, 10th revision (ICD-10) diagnosis codes for DKA. METHODS: We conducted a multicentre, cross-sectional study using data from 5 hospitals in Ontario, Canada. Each hospitalization event has a single most responsible diagnosis code. We identified all hospitalizations assigned diagnosis codes for DKA. A true case of DKA was defined using laboratory values (serum bicarbonate ≤18 mmol/L, arterial pH ≤7.3, anion gap ≥14 mEq/L, and presence of ketones in urine or blood). Chart review was conducted to validate DKA if laboratory values were missing or the diagnosis of DKA was unclear. Outcome measures included positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of ICD-10 codes in patients with laboratory-defined DKA. RESULTS: We identified 316,517 hospitalizations. Among these, 312,948 did not have an ICD-10 diagnosis code for DKA and 3,569 had an ICD-10 diagnosis code for DKA. Using a combination of laboratory and chart review, we identified that the overall PPV was 67.0%, the NPV was 99.7%, specificity was 99.6%, and sensitivity was 74.9%. When we restricted our analysis to hospitalizations in which DKA was the most responsible discharge diagnosis (n=3,374 [94.5%]), the test characteristics were PPV 69.8%, NPV 99.7%, specificity 99.7%, and sensitivity 71.9%. CONCLUSION: ICD-10 codes can identify patients with DKA among those admitted to general internal medicine.
Subject(s)
Diabetic Ketoacidosis , International Classification of Diseases , Humans , Diabetic Ketoacidosis/diagnosis , Diabetic Ketoacidosis/epidemiology , Cross-Sectional Studies , International Classification of Diseases/standards , Female , Male , Adult , Middle Aged , Hospitalization/statistics & numerical data , Ontario/epidemiologyABSTRACT
AIMS: The aim of this study was to examine the influence of immigration status and region of origin on the risk of type 2 diabetes in women with prior gestational diabetes (GDM). METHODS: This retrospective population-based cohort study included women with gestational diabetes (GDM) aged 16 to 50 years in Ontario, Canada, who gave birth between 2006 and 2014. We compared the incidence of type 2 diabetes after delivery between long-term residents and immigrants-overall, by time since immigration and by region of-using Cox regression adjusted for age, year, neighbourhood income, rurality, infant birth weight and presence of hypertensive disorders of pregnancy (HDP). RESULTS: Among 38,515 women with prior GDM (42% immigrants), immigrants had a significantly higher risk of type 2 diabetes compared with long-term residents (adjusted hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.13-1.26), with no meaningful difference based on time since immigration. The highest adjusted relative risks of type 2 diabetes compared with long-term residents were found for immigrants from Sub-Saharan Africa (HR 1.63, 95% CI 1.40-1.90), Latin America/Caribbean (HR 1.44, 95% CI 1.28-1.62) and South Asia (HR 1.34, 95% CI 1.25-1.44). CONCLUSIONS: Immigration is associated with a significantly higher risk of type 2 diabetes after GDM, particularly for women from certain low- and middle-income countries. Diabetes prevention strategies will need to consider the unique needs of immigrants from these regions.
Subject(s)
Diabetes Mellitus, Type 2 , Diabetes, Gestational , Female , Humans , Pregnancy , Cohort Studies , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes, Gestational/diagnosis , Diabetes, Gestational/epidemiology , Emigration and Immigration , Ontario/epidemiology , Retrospective Studies , Adolescent , Young Adult , Adult , Middle AgedABSTRACT
IMPORTANCE: A diagnosis of diabetes is considered when a patient has hyperglycemia with a random plasma glucose ≥200 mg/dL. However, in the inpatient setting, hyperglycemia is frequently non-specific, especially among patients who are acutely unwell. As a result, patients with transient hyperglycemia may be incorrectly labeled as having diabetes, leading to unnecessary treatment, and potential harm. DESIGN, SETTING, AND PARTICIPANTS: We conducted a multicenter cohort study of patients hospitalized at six hospitals in Ontario, Canada, and identified those with a glucose value ≥200 mg/dL (including standing measurements and randomly drawn). We validated a definition for diabetes using manual chart review that included physician notes, pharmacy notes, home medications, and hemoglobin A1C. Among patients with a glucose value ≥200 mg/dL (11.1 mmol/L), we identified patients without diabetes who received a diabetes medication, and the number who experienced hypoglycemia during the same admission. MAIN OUTCOMES AND MEASURES: To determine the diagnostic value of using random blood glucose to diagnose diabetes in the inpatient setting, and its impact on patient outcomes. RESULTS: We identified 328,786 hospitalizations from hospital between 2010 and 2020. A blood glucose value of ≥200 mg/dL (11.1 mmol/L) had a positive predictive value of 68% and a negative predictive value of 90% for a diagnosis of diabetes. Of the 76,967 patients with an elevated glucose value reported, 16,787 (21.8%) did not have diabetes, and of these, 5375 (32%) received a diabetes medication. Hypoglycemia was frequently reported among the 5375 patients that received a diabetes medication, with 1406 (26.2%) experiencing hypoglycemia and 405 (7.5%) experiencing severe hypoglycemia. CONCLUSIONS AND RELEVANCE: Hyperglycemia in hospital is common but does not necessarily indicate a patient has diabetes. Furthermore, it can lead to treatment with diabetes medications with potential harm. Our findings highlight that clinicians should be cautious when responding to elevated random plasma glucose tests in the inpatient setting.
Subject(s)
Diabetes Mellitus , Hyperglycemia , Hypoglycemia , Humans , Blood Glucose , Hypoglycemic Agents/adverse effects , Inpatients , Cohort Studies , Hyperglycemia/diagnosis , Hyperglycemia/drug therapy , Diabetes Mellitus/diagnosis , Diabetes Mellitus/epidemiology , Diabetes Mellitus/drug therapy , Hypoglycemia/diagnosis , Ontario/epidemiologyABSTRACT
OBJECTIVE: Glucagon-like peptide-1 (GLP-1) receptor agonists recently demonstrated 15% to 20% weight loss in adults with obesity, a range which has previously been achieved only with bariatric surgery. This systematic review and meta-analysis compares weight loss between GLP-1 receptor agonists and bariatric surgery. METHODS: The databases MEDLINE, MEDLINE In-Process, MEDLINE Epubs Ahead of Print, Embase Classic + Embase (OvidSP), and Cochrane (Wiley) were searched from inception to April 21, 2021, for randomized controlled trials and observational studies. Two independent reviewers extracted data, reported risk of bias, and graded certainty of evidence. Random-effects models were used to pool change in weight, BMI, and glycated hemoglobin. RESULTS: Six studies, encompassing 332 patients, were included. Among randomized controlled trials, mean difference in weight between all bariatric surgery types and GLP-1 receptor agonists was -22.68 kg (95% CI: -31.41 to -13.96), mean difference in BMI was -8.18 kg/m2 (95% CI: -11.59 to -4.77), and mean difference in glycated hemoglobin was -1.28% (95% CI: -1.94% to -0.61%). Among observational studies, mean difference in weight was -25.11 kg (95% CI: -40.61 to -9.60), and mean difference in BMI was -10.60 kg/m2 (95% CI: -17.22 to -3.98). Only one observational study reported glycemic outcomes. CONCLUSION: In adults with obesity, bariatric surgery still confers the highest reductions in weight and BMI but confers similar effects in glycemic control when compared with GLP-1 receptor agonists.
Subject(s)
Bariatric Surgery , Diabetes Mellitus, Type 2 , Adult , Humans , Glucagon-Like Peptide-1 Receptor/agonists , Glycated Hemoglobin , Weight Loss , Obesity/surgery , Hypoglycemic Agents , Observational Studies as TopicABSTRACT
OBJECTIVES: One-third of adults in Canada are overweight and 26.8% experience obesity. Bariatric surgery confers effective weight loss and reduces obesity-related complications, including type 2 diabetes, but remains an underutilized treatment. Our objective in this study was to determine whether a gap exists in bariatric program referrals for patients with type 2 diabetes seen in endocrinology clinics at an ambulatory tertiary care hospital in Toronto, Canada. METHODS: A retrospective chart review was conducted of 843 consecutive patients with type 2 diabetes in endocrinology clinics between January 1, 2015 and December 31, 2020. Inclusion criteria were age ≥18 years, type 2 diabetes and body mass index (BMI)>35 kg/m2. Exclusion criteria were recent active cancer, uncontrolled psychiatric disease or active substance use disorder within 6 months of the initial visit. Referrals to bariatric surgery were assessed within a 5-year follow-up period and compared with baseline referral rates from the Ontario Bariatric Network (OBN). An online survey of 48 endocrinologists in Toronto, Ontario, was also conducted to assess physician-level barriers to referral. RESULTS: The proportion of patients with class II obesity (BMI>35 kg/m2) and type 2 diabetes meeting the eligibility criteria for bariatric referral was 4.6% (n=38). A documented discussion about bariatric surgery occurred with 7 (18.0%) of these eligible patients, and 1 patient (2.6%) was referred for surgery. Aside from surgical referrals, only 2.6% of eligible patients were referred to cognitive-behavioural therapy, 36.8% were initiated on obesity pharmacotherapy and 42.1% were referred to a dietitian. Baseline OBN data demonstrated that most surgical referrals (n=6,360) were from family physicians (65.0%) and only 8.8% were from a medical specialist. Eight percent of surveyed endocrinologists reported that they discussed bariatric surgery with at least half of their eligible patients. The most frequent barrier to discussing bariatric surgery during visits was time constraints. Physicians identified that simplifying the referral process and providing bariatric surgery handouts would be helpful interventions to improve referral rates. CONCLUSIONS: Our gap analysis demonstrated a low bariatric surgery referral rate by tertiary care endocrinologists. Our study also identified a large gap in the appropriate treatment of obesity with poor utilization of behavioural, lifestyle and pharmacotherapy practices. As obesity and diabetes rates increase, better education, training and knowledge translation will be necessary to overcome weight bias and prioritize obesity management.
Subject(s)
Bariatric Surgery , Diabetes Mellitus, Type 2 , Adult , Humans , Adolescent , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/surgery , Retrospective Studies , Obesity/complications , Obesity/epidemiology , Obesity/surgery , Ontario/epidemiology , Referral and ConsultationABSTRACT
SOURCE CITATION: Shi Q, Wang Y, Hao Q, et al. Pharmacotherapy for adults with overweight and obesity: a systematic review and network meta-analysis of randomised controlled trials. Lancet. 2022;399:259-69. 34895470.
Subject(s)
Anti-Obesity Agents , Overweight , Adult , Anti-Obesity Agents/therapeutic use , Humans , Life Style , Obesity/drug therapy , Overweight/drug therapy , Weight LossABSTRACT
SOURCE CITATION: Lundgren JR, Janus C, Jensen SBK, et al. Healthy weight loss maintenance with exercise, liraglutide, or both combined. N Engl J Med. 2021;384:1719-30. 33951361.
Subject(s)
Anti-Obesity Agents , Liraglutide , Anti-Obesity Agents/adverse effects , Exercise , Humans , Liraglutide/therapeutic use , Obesity/drug therapy , Weight Loss/drug effectsABSTRACT
SOURCE CITATION: Mingrone G, Panunzi S, De Gaetano A, et al. Metabolic surgery versus conventional medical therapy in patients with type 2 diabetes: 10-year follow-up of an open-label, single-centre, randomised controlled trial. Lancet. 2021;397:293-304. 33485454.
Subject(s)
Bariatric Surgery , Biliopancreatic Diversion , Diabetes Mellitus, Type 2 , Biliopancreatic Diversion/adverse effects , Blood Glucose , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Follow-Up Studies , Humans , Life Style , Obesity/complications , Obesity/therapy , Remission Induction , Weight LossABSTRACT
Obesity is a chronic multisystem disease associated with increased morbidity and mortality. The increasing prevalence of obesity makes it a major healthcare challenge across both developed and developing countries. Traditional measures such as body mass index do not always identify individuals at increased risk of comorbidities, yet continue to be used in deciding who qualifies for weight loss treatment. A better understanding of how obesity is associated with comorbidities, in particular non-metabolic conditions, is needed to identify individuals at risk in order to prioritize treatment. For metabolic disorders such as type 2 diabetes (T2D), weight loss can prevent T2D in individuals with prediabetes. It can improve and reverse T2D if weight loss is achieved early in the course of the disease. However, access to effective weight loss treatments is a significant barrier to improved health for people with obesity. In the present paper, we review the rising prevalence of obesity and why it should be classed as a multisystem disease. We will discuss potential mechanisms underlying its association with various comorbidities and how these respond to treatment, with a particular focus on cardiometabolic disease, malignancy and mental health.
Subject(s)
Bariatric Surgery , Diabetes Mellitus, Type 2 , Prediabetic State , Body Mass Index , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/epidemiology , Humans , Obesity/complications , Obesity/epidemiology , Weight LossSubject(s)
COVID-19 , Mothers/psychology , Physicians, Women/psychology , Work-Life Balance , COVID-19/epidemiology , Female , Humans , Pandemics , SARS-CoV-2ABSTRACT
OBJECTIVES: To examine whether conditions related to scarcity at the left side of the distribution (anaemia, severe chronic energy deficiency, and underweight) are as strongly related to population means as conditions of excess at the right side of the distribution (overweight and obesity). DESIGN: Observational study. SETTING: 65 countries, with nationally representative cross sectional data from 1994 to 2014 obtained from the Demographic Health Surveys. PARTICIPANTS: Non-pregnant women aged 20-49. Sample of 65 countries and n=524 380 for analysis of BMI; sample of 44 countries and n=316 465 for analysis of haemoglobin. MAIN OUTCOME MEASURES: The association between mean and prevalence of each category. For BMI, prevalence of severe chronic energy deficiency (SCED, BMI <16.0), underweight (BMI <18.5), overweight (BMI >25) and obese (BMI >30.) were measured; for haemoglobin, prevalence of anaemia (haemoglobin <12.0 g/dL) and severe anaemia (haemoglobin <8.0 g/dL) were examined. RESULTS: There was a strong association between mean BMI and prevalence of overweight (r2=0.98; r=0.99; ß=8.3 (8.0 to 8.6)) and obesity (r2=0.93; r=0.97; ß=4.2 (3.9 to 4.5)). For left sided conditions, a moderate to strong association was found between mean BMI and prevalence of underweight (r2=0.67; r=-0.82; ß=-2.7 (-3.1 to -2.2)), and a weaker association for SCED (r2=0.38; r=-0.61; ß=-0.32 (-0.43 to -0.22)). There was a moderate association between mean haemoglobin and prevalence of anaemia (r2=0.46; r=-0.68; ß=-10.8 (-14.5 to -7.1)) and a weaker association with severe anaemia (r2=0.30; r=-0.55; ß=-0.55 (-0.81 to -0.29)). CONCLUSIONS: The associations between population means and prevalence of conditions of scarcity such as low BMI and anaemia were substantially weaker than the associations of mean BMI with conditions of excesses such as overweight and obesity.
Subject(s)
Anemia/epidemiology , Hemoglobins/analysis , Malnutrition/epidemiology , Overweight/epidemiology , Thinness/epidemiology , Adult , Anemia/blood , Body Mass Index , Cross-Sectional Studies , Female , Health Surveys , Humans , Malnutrition/blood , Middle Aged , Outcome Assessment, Health Care , Overweight/blood , Population Dynamics , Prevalence , Socioeconomic Factors , Thinness/bloodABSTRACT
BACKGROUND: The Millennium Villages Project facilitated technology-based health interventions in rural under-resourced areas of sub-Saharan Africa. Our study examined whether data entry using SMS compared with paper forms by community health workers (CHWs) led to higher proportion of timely follow-up visits for malnutrition screening in under-5 children in Ghana, Rwanda, Senegal, and Uganda. METHODS: Children under 5 years were screened for malnutrition every 90 days by CHWs using mid-upper arm circumference (MUAC) readings. CHWs used either SMS texts or paper forms to enter MUAC data. Reminder texts were sent at 15 days before follow-up was needed. Chi-square tests assessed proportion of timely follow-up visits within 90 days between SMS and paper groups. Logistic regression analysis was conducted in a step-wise multivariate model. Post-hoc power calculations were conducted to verify strength of associations. RESULTS: SMS data entry was associated with a higher proportion of timely malnutrition follow-up visits compared with paper forms across all sites. The association was strongest with consistent SMS use over consecutive visits. SMS use at the first of 2 consecutive visits was most effective, highlighting the importance of SMS reminder alerts. CONCLUSIONS: SMS technology with reminders increased timely CHW malnutrition screening visits for under-5 children in Ghana, Rwanda, Senegal, and Uganda, highlighting the importance of such technology for improving health worker behavior in low-resource settings.