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Pilla SJ, Kraschnewski JL, Lehman EB, Kong L, Francis E, Poger JM, Bryce CL, Maruthur NM, Yeh HC. Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems. BMJ Open Diabetes Res Care 2021; 9:9/Suppl_1/e002153. [PMID: 34933872 PMCID: PMC8679092 DOI: 10.1136/bmjdrc-2021-002153] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 07/19/2021] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND METHODS This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014. RESULTS Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73). CONCLUSIONS Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jennifer L Kraschnewski
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erik B Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erica Francis
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Jennifer M Poger
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Cindy L Bryce
- Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Nisa M Maruthur
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Hsin-Chieh Yeh
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Alexopoulos AS, Kahkoska AR, Pate V, Bradley MC, Niznik J, Thorpe C, Stürmer T, Buse J. Deintensification of Treatment With Sulfonylurea and Insulin After Severe Hypoglycemia Among Older Adults With Diabetes. JAMA Netw Open 2021; 4:e2132215. [PMID: 34726745 PMCID: PMC8564578 DOI: 10.1001/jamanetworkopen.2021.32215] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/31/2021] [Indexed: 11/14/2022] Open
Abstract
Importance Practice guidelines recommend deintensification of hypoglycemic agents among older adults with diabetes who are at high risk of hypoglycemia, yet real-world treatment deintensification practices are not well characterized. Objective To examine the incidence of sulfonylurea and insulin deintensification after a hypoglycemia-associated emergency department (ED) visit or hospitalization among older adults with diabetes and to identify factors associated with deintensification of treatment. Design, Setting, and Participants This retrospective cohort study included a random sample of 20% of nationwide fee-for-service US Medicare beneficiaries aged 65 years and older with concurrent Medicare parts A, B, and D coverage between January 1, 2007, and December 31, 2017. Individuals with diabetes who had at least 1 hypoglycemia-associated ED visit or hospitalization were included. Data were analyzed from August 1, 2020, to August 1, 2021. Exposures Baseline medication for the treatment of diabetes (sulfonylurea, insulin, or both). Main Outcomes and Measures Incidence of treatment deintensification (yes or no) in the 100 days after a severe hypoglycemic episode requiring an ED visit or hospitalization, with treatment deintensification defined as (1) a decrease in sulfonylurea dose, (2) a change from long-acting to short-acting sulfonylurea (glipizide), (3) discontinuation of sulfonylurea, or (4) discontinuation of insulin based on pharmacy dispensing claims. Results Among 76 278 distinct Medicare beneficiaries who had a hypoglycemia-associated ED visit or hospitalization, the mean (SD) age was 76.6 (7.6) years. Of 106 293 total hypoglycemic episodes requiring hospital attention, 69 084 (65.0%) occurred among women, 26 056 (24.5%) among Black individuals; 4761 (4.5%) among Hispanic individuals; 69 704 (65.6%) among White individuals; and 5772 (5.4%) among individuals of other races and ethnicities (comprising Asian, North American Native, unknown race or ethnicity, and unspecified race or ethnicity). A total of 32 074 episodes (30.2%) occurred among those receiving sulfonylurea only, 60 350 (56.8%) occurred among those receiving insulin only, and 13 869 (13.0%) occurred among those receiving both sulfonylurea and insulin. Treatment deintensification rates were highest among individuals receiving both sulfonylurea and insulin therapies at the time of their hypoglycemic episode (6677 episodes [48.1%]), followed by individuals receiving sulfonylurea only (14 192 episodes [44.2%]) and insulin only (14 495 episodes [24.0%]). Treatment deintensification rates increased between 2007 and 2017 (sulfonylurea only: from 41.4% to 49.7%; P < .001 for trend; insulin only: from 21.3% to 25.9%; P < .001 for trend; sulfonylurea and insulin: from 45.9% to 49.6%; P = .005 for trend). Lower socioeconomic status (as indicated by the receipt of low-income subsidies) was associated with lower odds of deintensification, regardless of baseline hypoglycemic regimen (sulfonylurea only: adjusted odds ratio [AOR], 0.74 [95% CI, 0.70-0.78]; insulin only: AOR, 0.71 [95% CI, 0.68-0.75]; sulfonylurea and insulin: AOR, 0.72 [95% CI, 0.66-0.78]). A number of patient factors were associated with higher odds of treatment deintensification: higher frailty (eg, ≥40% probability of needing assistance with activities of daily living among those receiving sulfonylurea and insulin: AOR, 1.50; 95% CI, 1.32-1.71), chronic kidney disease (eg, sulfonylurea and insulin: AOR, 1.29; 95% CI, 1.19-1.40), a history of falls (eg, sulfonylurea and insulin: AOR, 1.20; 95% CI, 1.09-1.33), and depression (eg, sulfonylurea and insulin: AOR, 1.11; 95% CI, 1.02-1.20). Conclusions and Relevance In this cohort study, deintensification of sulfonylurea and/or insulin therapy within 100 days after a hypoglycemia-associated ED visit or hospitalization occurred in fewer than 50% of older adults with diabetes; however, these deintensification rates may be increasing over time, and deintensification of insulin was likely underestimated because of challenges in capturing changes to insulin dosing using administrative claims data. These results suggest that greater efforts are needed to identify individuals at high risk of hypoglycemia to encourage appropriate treatment deintensification in accordance with current evidence.
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Affiliation(s)
- Anastasia-Stefania Alexopoulos
- Department of Medicine, Division of Endocrinology, Duke University, Durham, North Carolina
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina
| | - Anna R. Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill
| | - Virginia Pate
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Marie C. Bradley
- Division of Epidemiology, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
| | - Joshua Niznik
- Department of Medicine, Division of Geriatrics and Center for Aging and Health, University of North Carolina at Chapel Hill, Chapel Hill
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill
- Center of Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Carolyn Thorpe
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill
- Center of Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - John Buse
- Department of Medicine, Division of Endocrinology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill
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Identifying multimorbidity clusters with the highest primary care use: 15 years of evidence from a multi-ethnic metropolitan population. Br J Gen Pract 2021; 72:e190-e198. [PMID: 34782317 PMCID: PMC8597767 DOI: 10.3399/bjgp.2021.0325] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 09/02/2021] [Indexed: 12/14/2022] Open
Abstract
Background People with multimorbidity have complex healthcare needs. Some co-occurring diseases interact with each other to a larger extent than others and may have a different impact on primary care use. Aim To assess the association between multimorbidity clusters and primary care consultations over time. Design and setting A retrospective longitudinal (panel) study design was used. Data comprised electronic primary care health records of 826 166 patients registered at GP practices in an ethnically diverse, urban setting in London between 2005 and 2020. Method Primary care consultation rates were modelled using generalised estimating equations. Key controls included the total number of long-term conditions, five multimorbidity clusters, and their interaction effects, ethnic group, and polypharmacy (proxy for disease severity). Models were also calibrated by consultation type and ethnic group. Results Individuals with multimorbidity used two to three times more primary care services than those without multimorbidity (incidence rate ratio 2.30, 95% confidence interval = 2.29 to 2.32). Patients in the alcohol dependence, substance dependence, and HIV cluster (Dependence+) had the highest rate of increase in primary care consultations as additional long-term conditions accumulated, followed by the mental health cluster (anxiety and depression). Differences by ethnic group were observed, with the largest impact in the chronic liver disease and viral hepatitis cluster for individuals of Black or Asian ethnicity. Conclusion This study identified multimorbidity clusters with the highest primary care demand over time as additional long-term conditions developed, differentiating by consultation type and ethnicity. Targeting clinical practice to prevent multimorbidity progression for these groups may lessen future pressures on primary care demand by improving health outcomes.
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Heikkala E, Mikkola I, Jokelainen J, Timonen M, Hagnäs M. Multimorbidity and achievement of treatment goals among patients with type 2 diabetes: a primary care, real-world study. BMC Health Serv Res 2021; 21:964. [PMID: 34521389 PMCID: PMC8442281 DOI: 10.1186/s12913-021-06989-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Background Type 2 diabetes (T2D), with its prevalence and disability-causing nature, is a challenge for primary health care. Most patients with T2D are multimorbid, i.e. have one or more long-term diseases in addition to T2D. Multimorbidity may play a role in the achievement of T2D treatment targets, but is still not fully understood. The aims of the present cross-sectional, register-based study were to evaluate the prevalence and the most common patterns of multimorbidity among patients with T2D; and to study the potential associations between multimorbidity and treatment goal achievement, including measurements of glycosylated haemoglobin A1c (HbA1c), low-density lipoprotein (LDL) and systolic blood pressure (sBP). Methods The study population consisted of 4545 primary care patients who received a T2D diagnosis between January 2011 and July 2019 in Rovaniemi Health Centre, Finland. Data on seven long-term concordant (T2D-related) diseases, eight long-term discordant (non-T2D-related) diseases, potential confounders (age, sex, body mass index, prescribed medication), and the outcomes studied were collected from patients’ records. Logistic regression models with odds ratios (ORs) and 95 % confidence intervals (CIs) were assessed to determine the associations between multimorbidity and the achievement of treatment targets. Results Altogether, 93 % of the patients had one or more diseases in addition to T2D, i.e. were considered multimorbid. Furthermore, 21 % had only concordant disease(s) (Concordant subgroup), 8 % had only discordant disease(s) (Discordant subgroup) and 64 % had both (Concordant and discordant subgroup). As either single diseases or in combination with others, hypertension, musculoskeletal (MS) disease and hyperlipidaemia were the most prevalent multimorbidity patterns. Being multimorbid in general (OR 1.32, CI 1.01–1.70) and belonging to the Concordant (OR 1.45, CI 1.08–1.95) and Concordant and discordant (OR 1.31, CI 1.00–1.72) subgroups was associated with achievement of the HbA1c treatment target. Belonging to the Concordant and discordant subgroup was related to meeting the LDL treatment target (OR 1.31, CI 1.00–1.72). Conclusions Multimorbidity, including cardiovascular risk and the musculoskeletal disease burden, was extremely prevalent among the T2D patients who consulted primary health care. Primary care clinicians should survey the possible co-existence of long-term diseases among T2D patients to help maintain adequate treatment of T2D.
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Affiliation(s)
- Eveliina Heikkala
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland. .,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland. .,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland.
| | - Ilona Mikkola
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Maria Hagnäs
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
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Nightingale G, Scopelliti EM, Casten R, Woloshin M, Xiao S, Kelley M, Chang AM, Hollander JE, Leiby BE, Peterson AM, Pizzi LT, Rising KL, White N, Rovner B. Polypharmacy and Potentially Inappropriate Medication Use in Older Blacks with Diabetes Mellitus Presenting to the Emergency Department. J Aging Health 2021; 34:499-507. [PMID: 34517775 DOI: 10.1177/08982643211045546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background: Medication-related problems in older Blacks with diabetes mellitus (DM) are not well established. Objectives: To describe the frequency of medication-related problems in older Blacks with DM presenting to the emergency department (ED). Methods: The study was a cross-sectional analysis of baseline data from a randomized controlled trial evaluating Blacks aged ≥60 years of age presenting to the ED. Polypharmacy, potentially inappropriate medication (PIM) use, and anticholinergic score were evaluated. Results: Of 168 patients (median age = 68, range 60-92), most (n = 164, 98%) were taking ≥5 medications, and 67 (39.9%) were taking a PIM. A majority (n = 124, 74%) were taking a medication with an anticholinergic score ≥1. Number of medications was correlated with number of PIMs (r = .22, p = .004) and anticholinergic score (r = .50, p < .001). Conclusion: Polypharmacy and PIM use was common in older Blacks with DM.
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Affiliation(s)
- Ginah Nightingale
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Emily M Scopelliti
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Robin Casten
- Department of Psychiatry and Human Behavior, Sidney Kimmel Medical College, 6559Thomas Jefferson University, Philadelphia, PA, USA
| | - Monica Woloshin
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Shu Xiao
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Megan Kelley
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Anna Marie Chang
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Judd E Hollander
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Benjamin E Leiby
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Andrew M Peterson
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Laura T Pizzi
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Kristin L Rising
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Neva White
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
| | - Barry Rovner
- Department of Pharmacy Practice, Jefferson College of Pharmacy, 114062Thomas Jefferson University, Philadelphia, PA, USA
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McCoy RG, Galindo RJ, Swarna KS, Van Houten HK, O’Connor PJ, Umpierrez GE, Shah ND. Sociodemographic, Clinical, and Treatment-Related Factors Associated With Hyperglycemic Crises Among Adults With Type 1 or Type 2 Diabetes in the US From 2014 to 2020. JAMA Netw Open 2021; 4:e2123471. [PMID: 34468753 PMCID: PMC8411297 DOI: 10.1001/jamanetworkopen.2021.23471] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
IMPORTANCE Hyperglycemic crises (ie, diabetic ketoacidosis [DKA] and hyperglycemic hyperosmolar state [HHS]) are life-threatening acute complications of diabetes. Efforts to prevent these events at the population level have been hindered by scarce granular data and difficulty in identifying individuals at highest risk. OBJECTIVE To assess sociodemographic, clinical, and treatment-related factors associated with hyperglycemic crises in adults with type 1 or type 2 diabetes in the US from 2014 to 2020. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study analyzed administrative claims and laboratory results for adults (aged ≥18 years) with type 1 or type 2 diabetes from the OptumLabs Data Warehouse from January 1, 2014, through December 31, 2020. MAIN OUTCOMES AND MEASURES Rates of emergency department or hospital visits with a primary diagnosis of DKA or HHS (adjusted for age, sex, race/ethnicity, and region, and for year when calculating annualized rates) were calculated separately for patients with type 1 diabetes and type 2 diabetes. The associations of sociodemographic factors (age, sex, race/ethnicity, region, and income), clinical factors (comorbidities), and treatment factors (glucose-lowering medications, hemoglobin A1c) with DKA or HHS in patients with type 1 or type 2 diabetes were assessed using negative binomial regression. RESULTS Among 20 156 adults with type 1 diabetes (mean [SD] age, 46.6 [16.5] years; 51.2% male; 72.6% White race/ethnicity) and 796 382 with type 2 diabetes (mean [SD] age, 65.6 [11.8] years; 50.3% female; 54.4% White race/ethnicity), adjusted rates of hyperglycemic crises were 52.69 per 1000 person-years (95% CI, 48.26-57.12 per 1000 person-years) for type 1 diabetes and 4.04 per 1000 person-years (95% CI, 3.88-4.21 per 1000 person-years) for type 2 diabetes. In both groups, factors associated with the greatest hyperglycemic crisis risk were low income (≥$200 000 vs <$40 000: type 1 diabetes incidence risk ratio [IRR], 0.61 [95% CI, 0.46-0.81]; type 2 diabetes IRR, 0.69 [95% CI, 0.56-0.86]), Black race/ethnicity (vs White race/ethnicity: type 1 diabetes IRR, 1.33 [95% CI, 1.01-1.74]; type 2 diabetes IRR, 1.18 [95% CI, 1.09-1.27]), high hemoglobin A1c level (≥10% vs 6.5%-6.9%: type 1 diabetes IRR, 7.81 [95% CI, 5.78-10.54]; type 2 diabetes IRR, 7.06 [95% CI, 6.26-7.96]), history of hyperglycemic crises (type 1 diabetes IRR, 7.88 [95% CI, 6.06-9.99]; type 2 diabetes IRR, 17.51 [95% CI, 15.07-20.34]), severe hypoglycemia (type 1 diabetes IRR, 2.77 [95% CI, 2.15-3.56]; type 2 diabetes IRR, 4.18 [95% CI, 3.58-4.87]), depression (type 1 diabetes IRR, 1.62 [95% CI, 1.37-1.92]; type 2 diabetes IRR, 1.46 [95% CI, 1.34-1.59]), neuropathy (type 1 diabetes IRR, 1.64 [95% CI, 1.39-1.93]; type 2 diabetes IRR, 1.25 [95% CI, 1.17-1.34]), and nephropathy (type 1 diabetes IRR, 1.22 [95% CI, 1.01-1.48]; type 2 diabetes IRR, 1.23 [95% CI, 1.14-1.33]). Age had a U-shaped association with hyperglycemic crisis risk in patients with type 1 diabetes (compared with patients aged 18-44 years: 45-64 years IRR, 0.72 [95% CI, 0.59-0.87]; 65-74 years IRR, 0.62 [95% CI, 0.47-0.80]; ≥75 years IRR, 0.96 [95% CI, 0.66-1.38]). In type 2 diabetes, risk of hyperglycemic crises decreased progressively with age (45-64 years IRR, 0.57 [95% CI, 0.51-0.63]; 65-74 years IRR, 0.44 [95% CI, .39-0.49]; ≥75 years IRR, 0.41 [95% CI, 0.36-0.47]). In patients with type 2 diabetes, higher risk was associated with sodium-glucose cotransporter 2 inhibitor therapy (IRR, 1.30; 95% CI, 1.14-1.49) and insulin dependency (compared with regimens with bolus insulin: regimens with basal insulin only, IRR, 0.69 [95% CI, 0.63-0.75]; and without any insulin, IRR, 0.36 [95% CI, 0.33-0.40]). CONCLUSIONS AND RELEVANCE In this cohort study, younger age, Black race/ethnicity, low income, and poor glycemic control were associated with an increased risk of hyperglycemic crises. The findings suggest that multidisciplinary interventions focusing on groups at high risk for hyperglycemic crises are needed to prevent these dangerous events.
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Affiliation(s)
- Rozalina G. McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Rodolfo J. Galindo
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Kavya Sindhu Swarna
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Holly K. Van Houten
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
- HealthPartners Institute Center for Chronic Care Innovation, Minneapolis, Minnesota
| | - Patrick J. O’Connor
- HealthPartners Institute Center for Chronic Care Innovation, Minneapolis, Minnesota
| | - Guillermo E. Umpierrez
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Nilay D. Shah
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
- OptumLabs, Eden Prairie, Minnesota
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Endo K, Itoh T, Tanno M, Ohno K, Hotta H, Kato N, Matsumoto T, Ooiwa H, Kubo H, Miki T. Characteristics of patients with emergency attendance for severe hypoglycemia and hyperglycemia in a general hospital in Japan. Medicine (Baltimore) 2021; 100:e26505. [PMID: 34160469 PMCID: PMC8238261 DOI: 10.1097/md.0000000000026505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 06/02/2021] [Indexed: 01/04/2023] Open
Abstract
Despite advances in treatments for diabetes mellitus (DM), severe acute glycemic crises still occur. In this study, the characteristics of patients who were transported to an emergency department due to acute glycemic crises were investigated.We enrolled patients who were transported to our hospital by ambulance due to hypoglycemia or hyperglycemia during the period from January 2015 to December 2019. Initial glucose levels below 70 mg/dL and above 250 mg/dL were defined as hypoglycemia and hyperglycemia, respectively.In the 5-year period, 16,910 patients were transported to our hospital by ambulance. Of those patients, 87 patients (0.51%) were diagnosed with hypoglycemia, 26 patients (0.15%) were diagnosed with hyperglycemia and 1 patient was diagnosed with lactic acidosis. Compared to patients with hypoglycemia, blood urea nitrogen, serum potassium and hemoglobin levels were higher in patients with hyperglycemia. Systolic blood pressure was lower and pulse rate was higher in patients with hyperglycemia, possibly reflecting dehydration in hyperglycemia. Patients with hyperglycemia were younger (63 vs 70 years old, median), more likely to be hospitalized (92.3% vs 23.0%) with poorer prognosis (23.1% vs 4.6%) than those with hypoglycemia. In 64 DM patients with hypoglycemia, 34 patients were treated with insulin and 24 patients were treated with sulfonylurea or glinide, and their medication was often inappropriate. Excessive alcohol intake and malnutrition were the main causes of hypoglycemia in 23 non-DM patients. The main reasons for hyperglycemia were interrupted treatment, forgetting insulin injection and infection.To avoid acute glycemic crises, optimization of anti-DM therapy and education of patients are needed.
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Affiliation(s)
- Keisuke Endo
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo
| | - Takahito Itoh
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Masaya Tanno
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo
| | - Kouhei Ohno
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hiroyuki Hotta
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Nobuo Kato
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Tomoaki Matsumoto
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hitoshi Ooiwa
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hirofumi Kubo
- Medical Record Administration Center, Oji General Hospital, Tomakomai, Japan
| | - Takayuki Miki
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
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Jeyam A, Gibb FW, McKnight JA, Kennon B, O'Reilly JE, Caparrotta TM, Höhn A, McGurnaghan SJ, Blackbourn LAK, Hatam S, McCrimmon RJ, Leese G, Lindsay RS, Petrie J, Chalmers J, Philip S, Wild SH, Sattar N, McKeigue PM, Colhoun HM. Marked improvements in glycaemic outcomes following insulin pump therapy initiation in people with type 1 diabetes: a nationwide observational study in Scotland. Diabetologia 2021; 64:1320-1331. [PMID: 33686483 PMCID: PMC8099793 DOI: 10.1007/s00125-021-05413-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/21/2020] [Indexed: 11/06/2022]
Abstract
AIMS/HYPOTHESIS Our aim was to assess the use of continuous subcutaneous insulin infusion (CSII) in people with type 1 diabetes in Scotland and its association with glycaemic control, as measured by HbA1c levels, frequency of diabetic ketoacidosis (DKA) and severe hospitalised hypoglycaemia (SHH), overall and stratified by baseline HbA1c. METHODS We included 4684 individuals with type 1 diabetes from the national Scottish register, who commenced CSII between 2004 and 2019. We presented crude within-person differences from baseline HbA1c over time since initiation, crude DKA and SHH event-rates pre-/post-CSII exposure. We then used mixed models to assess the significance of CSII exposure, taking into account: (1) the diffuse nature of the intervention (i.e. structured education often precedes initiation); (2) repeated within-person measurements; and (3) background time-trends occurring pre-intervention. RESULTS HbA1c decreased after CSII initiation, with a median within-person change of -5.5 mmol/mol (IQR -12.0, 0.0) (-0.5% [IQR -1.1, 0.0]). Within-person changes were most substantial in those with the highest baseline HbA1c, with median -21.0 mmol/mol (-30.0, -11.0) (-1.9% [-2.7, -1.0]) change in those with a baseline >84 mmol/mol (9.8%) within a year of exposure, that was sustained: -19.0 mmol/mol (-27.6, -6.5) (-1.7% [-2.5, -0.6]) at ≥5 years. Statistical significance and magnitude of change were supported by the mixed models results. The crude DKA event-rate was significantly lower in post-CSII person-time compared with pre-CSII person-time: 49.6 events (95% CI 46.3, 53.1) per 1000 person-years vs 67.9 (64.1, 71.9); rate ratio from Bayesian mixed models adjusting for pre-exposure trend: 0.61 (95% credible interval [CrI] 0.47, 0.77; posterior probability of reduction pp = 1.00). The crude overall SHH event-rate in post-CSII vs pre-CSII person-time was also lower: 17.8 events (95% CI 15.8, 19.9) per 1000 person-years post-exposure vs 25.8 (23.5, 28.3) pre-exposure; rate ratio from Bayesian mixed models adjusting for pre-exposure trend: 0.67 (95% CrI 0.45, 1.01; pp = 0.97). CONCLUSIONS/INTERPRETATION CSII therapy was associated with marked falls in HbA1c especially in those with high baseline HbA1c. CSII was independently associated with reduced DKA and SHH rates. CSII appears to be an effective option for intensive insulin therapy in people with diabetes for improving suboptimal glycaemic control.
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Affiliation(s)
- Anita Jeyam
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
| | - Fraser W Gibb
- Royal Infirmary of Edinburgh, Edinburgh Centre for Endocrinology and Diabetes, Edinburgh, UK
| | | | - Brian Kennon
- Queen Elizabeth University Hospital, Glasgow, UK
| | - Joseph E O'Reilly
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Thomas M Caparrotta
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andreas Höhn
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Stuart J McGurnaghan
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Luke A K Blackbourn
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sara Hatam
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Rory J McCrimmon
- Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | | | - Robert S Lindsay
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - John Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Sam Philip
- Grampian Diabetes Research Unit, Diabetes Centre, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Sarah H Wild
- Usher Institute of Population Health Sciences and Informatics, Centre for Population Health Sciences, School of Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Paul M McKeigue
- Usher Institute of Population Health Sciences and Informatics, Centre for Population Health Sciences, School of Molecular, Genetic and Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Helen M Colhoun
- MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Public Health, NHS Fife, Kirkcaldy, UK
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Abstract
Hypoglycemia and acute metabolic complications (AMCs; ketoacidosis, hyperosmolarity, and coma) are glycemic outcomes that have high cost and high morbidity; these outcomes must be taken into consideration when choosing initial second-line therapy after metformin. We conducted a retrospective cohort study analyzing national administrative data from adults with type 2 diabetes mellitus who started a second-line diabetes medication (sulfonylureas [SFUs], thiazolidinediones [TZDs], glucagon-like peptide 1 [GLP-1] agonists, dipeptidyl peptidase 4 [DPP-4] inhibitors, basal insulin, or sodium-glucose contransporter 2 [SGLT-2] inhibitors) between April 1, 2011 and September 30, 2015 (N=43,288) and compared rates of hypoglycemia and AMCs. Most patients (24,506 [56.6%]) were prescribed sulfonylurea as second-line treatment, followed by DPP-4 inhibitors (7953 [18.4%]), GLP-1 agonists (3854 [8.9%]), basal insulin (2542 [5.9%]), SGLT-2 inhibitors (2537 [5.9%), and TZDs (1896 [4.4%]). Baseline rates of hypoglycemia varied more than 5-fold across initial second-line antidiabetic medication classes, and rates of AMCs varied 7-fold. Compared with patients taking an SFU, lower adjusted rates of hypoglycemia were associated with taking a DPP-4 inhibitor (63% lower rate; incidence rate ratio [IRR], 0.37; 95% CI, 0.25 to 0.57), SGLT-2 inhibitor (54% lower; IRR, 0.46; 95% CI, 0.22 to 0.94), or TZD (79% lower; IRR, 0.21; 95% CI, 0.08 to 0.56) but not a glucagon-like peptide 1 agonist or basal insulin. For AMCs, only initiation of a DPP-4 inhibitor (43% lower rate; IRR, 0.57; 95% CI, 0.41 to 0.81) was associated with a lower adjusted rate compared with SFU. Use of SGLT-2 inhibitors was not associated with a substantially increased rate of acute metabolic complications compared with SFU. Special attention still needs to be paid to glycemic outcomes when choosing a second-line diabetes therapy following metformin.
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Key Words
- AMC, acute metabolic complication
- DM, diabetes mellitus
- DPP-4, dipeptidyl peptidase 4
- GLP-1, glucagon-like peptide 1
- ICD-9, International Classification of Diseases, Ninth Revision
- IRR, incidence rate ratio
- SFU, sulfonylurea
- SGLT-2, sodium-glucose contransporter 2
- TZD, thiazolidinedione
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Katsiki N, Kotsa K, Stoian AP, Mikhailidis DP. Hypoglycaemia and Cardiovascular Disease Risk in Patients with Diabetes. Curr Pharm Des 2021; 26:5637-5649. [PMID: 32912117 DOI: 10.2174/1381612826666200909142658] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 08/09/2020] [Indexed: 12/12/2022]
Abstract
Hypoglycaemia represents an important side effect of insulin therapy and insulin secretagogues. It can occur in both type 1 and type 2 diabetes mellitus patients. Also, some associations between hypoglycaemia and cardiovascular (CV) risk have been reported. Several mechanisms may be involved, including the sympathoadrenal system, hypokalaemia, endothelial dysfunction, coagulation, platelets, inflammation, atherothrombosis and impaired autonomic cardiac reflexes. This narrative review discusses the associations of hypoglycaemia with CV diseases, including coronary heart disease (CHD), cardiac arrhythmias, stroke, carotid disease and peripheral artery disease (PAD), as well as with dementia. Severe hypoglycaemia has been related to CHD, CV and all-cause mortality. Furthermore, there is evidence supporting an association between hypoglycaemia and cardiac arrhythmias, potentially predisposing to sudden death. The data linking hypoglycaemia with stroke, carotid disease and PAD is limited. Several factors may affect the hypoglycaemia-CV relationships, such as the definition of hypoglycaemia, patient characteristics, co-morbidities (including chronic kidney disease) and antidiabetic drug therapy. However, the association between hypoglycaemia and dementia is bilateral. Both the disorders are more common in the elderly; thus, glycaemic goals should be carefully selected in older patients. Further research is needed to elucidate the impact of hypoglycaemia on CV disease.
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Affiliation(s)
- Niki Katsiki
- Division of Endocrinology and Metabolism, Diabetes Center, First Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Kalliopi Kotsa
- Division of Endocrinology and Metabolism, Diabetes Center, First Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Anca P Stoian
- Diabetes, Nutrition and Metabolic diseases Department, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Hospital Campus, University College London Medical School, University College London (UCL), London, United Kingdom
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Rodríguez-Gutiérrez R, Salcido-Montenegro A, González-González JG, McCoy RG. Variation in hypoglycemia ascertainment and report in type 2 diabetes observational studies: a meta-epidemiological study. BMJ Open Diabetes Res Care 2021; 9:9/1/e001906. [PMID: 33888541 PMCID: PMC8070868 DOI: 10.1136/bmjdrc-2020-001906] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 01/25/2021] [Accepted: 02/28/2021] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Observational studies constitute an important evidence base for hypoglycemia in diabetes management. This requires consistent and reliable ascertainment and reporting methodology, particularly in studies of type 2 diabetes where hypoglycemia risk is heterogeneous. Therefore, we aimed to examine the definitions of hypoglycemia used by observational studies of patients with type 2 diabetes. RESEARCH DESIGN AND METHODS We conducted a meta-epidemiological review of observational studies reporting on hypoglycemia or evaluating glucose-lowering medications in adults with type 2 diabetes. MEDLINE and Google Scholar were searched from January 1970 to May 2018. The definitions of non-severe, severe and nocturnal hypoglycemia were examined. RESULTS We reviewed 243 studies: 47.7% reported on non-severe hypoglycemia, 77.8% on severe hypoglycemia and 16.9% on nocturnal hypoglycemia; 5.8% did not specify. Among 116 studies reporting non-severe hypoglycemia, 18.1% provided no definition, 23.3% used glucose values, 38.8% relied on patient-reported symptoms, 17.2% accepted either glucose values or patient-reported symptoms and 2.6% relied on International Classification of Disease (ICD) codes. Among 189 studies reporting severe hypoglycemia, 11.1% provided no definition, 53.4% required symptoms needing assistance, 3.7% relied on glucose values, 14.8% relied on ICD codes, 2.6% relied on ICD codes or glucose values and 15.9% required both symptoms needing assistance and glucose values. Overall, 38.2% of non-severe and 67.7% of severe hypoglycemia definitions were consistent with the International Hypoglycemia Study Group. CONCLUSIONS The marked heterogeneity in how hypoglycemia is defined in observational studies may contribute to the inadequate understanding and correction of hypoglycemia risk factors among patients with type 2 diabetes.
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Affiliation(s)
- René Rodríguez-Gutiérrez
- Knowledge and Evaluation Research Unit in Endocrinology, Mayo Clinic, Rochester, Minnesota, USA
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Endocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo León, Monterrey, Nuevo León, México
- Plataforma INVEST Medicina UANL - KER Unit (KER Unit México), Subdirección de Investigación, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Alejandro Salcido-Montenegro
- Plataforma INVEST Medicina UANL - KER Unit (KER Unit México), Subdirección de Investigación, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
- Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo León, México
| | - José Gerardo González-González
- Endocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo León, Monterrey, Nuevo León, México
- Plataforma INVEST Medicina UANL - KER Unit (KER Unit México), Subdirección de Investigación, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Rozalina G McCoy
- Knowledge and Evaluation Research Unit in Endocrinology, Mayo Clinic, Rochester, Minnesota, USA
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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Witkowski P, Philipson LH, Kaufman DB, Ratner LE, Abouljoud MS, Bellin MD, Buse JB, Kandeel F, Stock PG, Mulligan DC, Markmann JF, Kozlowski T, Andreoni KA, Alejandro R, Baidal DA, Hardy MA, Wickrema A, Mirmira RG, Fung J, Becker YT, Josephson MA, Bachul PJ, Pyda JS, Charlton M, Millis JM, Gaglia JL, Stratta RJ, Fridell JA, Niederhaus SV, Forbes RC, Jayant K, Robertson RP, Odorico JS, Levy MF, Harland RC, Abrams PL, Olaitan OK, Kandaswamy R, Wellen JR, Japour AJ, Desai CS, Naziruddin B, Balamurugan AN, Barth RN, Ricordi C. The demise of islet allotransplantation in the United States: A call for an urgent regulatory update. Am J Transplant 2021; 21:1365-1375. [PMID: 33251712 PMCID: PMC8016716 DOI: 10.1111/ajt.16397] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/14/2020] [Accepted: 11/02/2020] [Indexed: 02/06/2023]
Abstract
Islet allotransplantation in the United States (US) is facing an imminent demise. Despite nearly three decades of progress in the field, an archaic regulatory framework has stymied US clinical practice. Current regulations do not reflect the state-of-the-art in clinical or technical practices. In the US, islets are considered biologic drugs and "more than minimally manipulated" human cell and tissue products (HCT/Ps). In contrast, across the world, human islets are appropriately defined as "minimally manipulated tissue" and not regulated as a drug, which has led to islet allotransplantation (allo-ITx) becoming a standard-of-care procedure for selected patients with type 1 diabetes mellitus. This regulatory distinction impedes patient access to islets for transplantation in the US. As a result only 11 patients underwent allo-ITx in the US between 2016 and 2019, and all as investigational procedures in the settings of a clinical trials. Herein, we describe the current regulations pertaining to islet transplantation in the United States. We explore the progress which has been made in the field and demonstrate why the regulatory framework must be updated to both better reflect our current clinical practice and to deal with upcoming challenges. We propose specific updates to current regulations which are required for the renaissance of ethical, safe, effective, and affordable allo-ITx in the United States.
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Affiliation(s)
- Piotr Witkowski
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | | | - Dixon B. Kaufman
- Division of Transplantation, Department of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Lloyd E. Ratner
- Department of Surgery, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Marwan S. Abouljoud
- Transplant and Hepatobiliary Surgery, Henry Ford Hospital, Detroit, Michigan, USA
| | - Melena D. Bellin
- Schulze Diabetes Institute, Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - John B. Buse
- Division of Endocrinology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Fouad Kandeel
- Department of Translational Research and Cellular Therapeutics, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Peter G. Stock
- Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, California, USA
| | - David C. Mulligan
- Department of Surgery, Transplantation and Immunology, Yale University, New Haven, Connecticut, USA
| | - James F. Markmann
- Division of Transplantation, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Tomasz Kozlowski
- Division of Transplantation, Department of Surgery, The University of Oklahoma College of Medicine, Oklahoma City, Oklahoma, USA
| | - Kenneth A. Andreoni
- Department of Surgery, University of Florida, College of Medicine, Gainesville, Florida, USA
| | - Rodolfo Alejandro
- Diabetes Research Institute and Cell Transplant Center, University of Miami, Miami, Florida, USA
| | - David A. Baidal
- Diabetes Research Institute and Cell Transplant Center, University of Miami, Miami, Florida, USA
| | - Mark A. Hardy
- Department of Surgery, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Amittha Wickrema
- Department of Medicine, Section of Hematology and Oncology, University of Chicago, Chicago, Illinois, USA
| | - Raghavendra G. Mirmira
- Department of Medicine, Translational Research Center, University of Chicago, Chicago, Illinois, USA
| | - John Fung
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Yolanda T. Becker
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Michelle A. Josephson
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Piotr J. Bachul
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Jordan S. Pyda
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Charlton
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - J. Michael Millis
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Jason L. Gaglia
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert J. Stratta
- Department of Surgery, Section of Transplantation, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jonathan A. Fridell
- Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Silke V. Niederhaus
- Department of Surgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Rachael C. Forbes
- Division of Kidney and Pancreas Transplantation, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kumar Jayant
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - R. Paul Robertson
- Division of Endocrinology and Metabolism, Department of Internal Medicine, University of Washington, Seattle, Washington, USA
| | - Jon S. Odorico
- Division of Transplantation, Department of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Marlon F. Levy
- Division of Transplantation, Hume-Lee Transplant Center, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | | | - Peter L. Abrams
- MedStar Georgetown Transplant Institute, Washington, District of Columbia, USA
| | | | - Raja Kandaswamy
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jason R. Wellen
- Department of Surgery, Washington University, St Louis, Missouri, USA
| | - Anthony J. Japour
- Anthony Japour and Associates, Medical and Scientific Consulting Inc, Miami, FL, USA
| | - Chirag S. Desai
- Department of Surgery, Section of Transplantation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Bashoo Naziruddin
- Transplantation Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Appakalai N. Balamurugan
- Division of Pediatric General and Thoracic Surgery, Department of Surgery, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, USA
| | - Rolf N. Barth
- Department of Surgery, Transplantation Institute, University of Chicago, Chicago, Illinois, USA
| | - Camillo Ricordi
- Diabetes Research Institute and Cell Transplant Center, University of Miami, Miami, Florida, USA
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Mizu D, Matsuoka Y, Huh JY, Ariyoshi K. High fever or hypotension predicts non-hypoglycemia in patients with impaired consciousness in prehospital settings. Acute Med Surg 2021; 8:e637. [PMID: 33717490 PMCID: PMC7920858 DOI: 10.1002/ams2.637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/19/2021] [Accepted: 02/03/2021] [Indexed: 11/06/2022] Open
Abstract
Aim To evaluate whether vital signs can predict whether hypoglycemia can be eliminated as the cause of impaired consciousness in prehospital settings. Methods We extracted the data of patients who underwent blood glucose measurements by paramedics in Kobe City, Japan from April 2015 to March 2019. We used receiver operating characteristic curves and calculated the area under the curve (AUC) to evaluate the validity of the vital signs in distinguishing hypoglycemia. We also calculated stratum-specific likelihood ratios to examine the threshold at which hypoglycemia becomes less likely for each vital sign. Results Of the 1,791 patients, 1,242 were eligible for analysis. Hypoglycemia was observed in 324 patients (26.1%). Significant differences in each vital sign were noted between the hypoglycemic and non-hypoglycemic groups. Body temperature was moderately accurate in differentiating between the two groups (AUC, 0.71; 95% confidence interval, 0.68-0.74). Furthermore, in patients with systolic blood pressure <100 mmHg and body temperature ≥38°C, it was unlikely that hypoglycemia caused impaired consciousness (stratum-specific likelihood ratios 0.12 and 0.15; 95% confidence intervals, 0.05-0.25 and 0.06-0.35, respectively). Conclusion In the prehospital assessment of patients with impaired consciousness, high fever or hypotension was helpful in differentiating between hypoglycemia and non-hypoglycemia. In particular, body temperature ≥38°C or systolic blood pressure <100 mmHg indicated a low likelihood of hypoglycemia. A validation study is needed to confirm the findings in this study.
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Affiliation(s)
- Daisuke Mizu
- Department of Emergency Medicine Kobe City Medical Centre General Hospital Hyogo Japan
| | - Yoshinori Matsuoka
- Department of Emergency Medicine Kobe City Medical Centre General Hospital Hyogo Japan
| | - Ji-Young Huh
- Department of Emergency Medicine Kobe City Medical Centre General Hospital Hyogo Japan
| | - Koichi Ariyoshi
- Department of Emergency Medicine Kobe City Medical Centre General Hospital Hyogo Japan
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Lolok N, Sumiwi SA, Muhtadi A, Susilawati Y, Hendriani R, Ramadhan DSF, Levita J, Sahidin I. Molecular docking and molecular dynamics studies of bioactive compounds contained in noni fruit ( Morinda citrifolia L.) against human pancreatic α-amylase. J Biomol Struct Dyn 2021; 40:7091-7098. [PMID: 33682637 DOI: 10.1080/07391102.2021.1894981] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Human pancreatic α-amylase inhibition is currently a promising therapeutic target against type 2 diabetes (DMT2) because it can reduce aggressive digestion of carbohydrates into absorbable monosaccharides. In Indonesia, medicinal plants, e.g. Morinda citrifolia fruit, have been empirically utilized as a blood-sugar reducer, however, the inhibitory activity of compounds in this plant against human pancreatic α-amylase is still limited or none. Therefore, this study aimed to test the interaction of 7 compounds (americanin, asperulosidic acid, damnacanthal, quercetin, rutin, scopoletin, and ursolic acid) contained in noni fruit against human pancreatic α-amylase by molecular docking and molecular dynamics and compared their binding modes with that of acarbose. Results of the molecular docking simulation indicated that the ursolic acid compound possesses the best binding energy (-8.58 kcal/mol) and comparable to that of acarbose (-8.59 kcal/mol). The molecular dynamics study at 100 ns simulation, the values of RMSD, RMSF, the radius of gyration (Rg), the solvent-accessible surface area (SASA), principal component analysis (PCA), and MM-PBSA binding free energy were stable and identical to those of acarbose. It could be concluded that ursolic acid might be potential in inhibiting human pancreatic α-amylase, thus, potential to be developed as an anti-DMT2 drug candidate. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Nikeherpianti Lolok
- Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.,Department of Pharmacy, Universitas Mandala Waluya Kendari, Kendari, Indonesia
| | - Sri Adi Sumiwi
- Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia
| | - Ahmad Muhtadi
- Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia
| | | | - Rini Hendriani
- Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia
| | | | - Jutti Levita
- Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia
| | - Idin Sahidin
- Faculty of Pharmacy, Halu Oleo University, Kendari, Indonesia
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3176] [Impact Index Per Article: 1058.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Bergenstal RM, Kerr MSD, Roberts GJ, Souto D, Nabutovsky Y, Hirsch IB. Flash CGM Is Associated With Reduced Diabetes Events and Hospitalizations in Insulin-Treated Type 2 Diabetes. J Endocr Soc 2021; 5:bvab013. [PMID: 33644623 PMCID: PMC7901259 DOI: 10.1210/jendso/bvab013] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Indexed: 12/20/2022] Open
Abstract
Purpose Suboptimal glycemic control among individuals with diabetes is a leading cause of hospitalizations and emergency department utilization. Use of flash continuous glucose monitoring (flash CGM) improves glycemic control in type 1 and type 2 diabetes, which may result in lower risk for acute and chronic complications that require emergency services and/or hospitalizations. Methods In this retrospective, real-world study, we analyzed IBM MarketScan Commercial Claims and Medicare Supplemental databases to assess the impact of flash CGM on diabetes-related events and hospitalizations in a cohort of 2463 individuals with type 2 diabetes who were on short- or rapid-acting insulin therapy. Outcomes were changes in acute diabetes-related events (ADE) and all-cause inpatient hospitalizations (ACH), occurring during the first 6 months after acquiring the flash CGM system compared with event rates during the 6 months prior to system acquisition. ICD-10 codes were used to identify ADE for hypoglycemia, hypoglycemic coma, hyperglycemia, diabetic ketoacidosis, and hyperosmolarity. Results ADE rates decreased from 0.180 to 0.072 events/patient-year (hazard ratio [HR]: 0.39 [0.30, 0.51]; P < 0.001) and ACH rates decreased from 0.420 to 0.283 events/patient-year (HR: 0.68 [0.59 0.78]; P < 0.001). ADE reduction occurred regardless of age or gender. Conclusions Acquisition of the flash CGM system was associated with reductions in ADE and ACH. These findings provide support for the use of flash CGM in type 2 diabetes patients treated with short- or rapid-acting insulin therapy to improve clinical outcomes and potentially reduce costs.
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Affiliation(s)
- Richard M Bergenstal
- International Diabetes Center, Park Nicollet and HealthPartners, Minneapolis, MN, USA
| | | | | | | | | | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
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McCoy RG, Van Houten HK, Deng Y, Mandic PK, Ross JS, Montori VM, Shah ND. Comparison of Diabetes Medications Used by Adults With Commercial Insurance vs Medicare Advantage, 2016 to 2019. JAMA Netw Open 2021; 4:e2035792. [PMID: 33523188 PMCID: PMC7851726 DOI: 10.1001/jamanetworkopen.2020.35792] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
IMPORTANCE Glucagonlike peptide-1 receptor agonists (GLP-1RA), sodium-glucose cotransporter-2 inhibitors (SGLT2i), and dipeptidyl peptidase-4 inhibitors (DPP-4i) are associated with low rates of hypoglycemia, and postmarketing trials of GLP-1RA and SGLT2i demonstrated that these medications improved cardiovascular and kidney outcomes. OBJECTIVE To compare trends in initiation of treatment with GLP-1RA, SGLT2i, and DPP-4i by older adults with type 2 diabetes insured by Medicare Advantage vs commercial health plans. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used administrative claims data from a deidentified database of commercially insured and Medicare Advantage beneficiaries. Adults aged 58 to 66 years with type 2 diabetes who filled any medication prescription to lower glucose levels from January 1, 2016, to December 31, 2019, were compared between groups. EXPOSURE Enrollment in a Medicare Advantage or commercial health insurance plan. MAIN OUTCOMES AND MEASURES The odds of initiating GLP-1RA, SGLT2i, and DPP-4i treatment were examined for Medicare Advantage vs commercial insurance beneficiaries using 3 separate logistic regression models adjusted for year and demographic and clinical factors. These models were used to calculate adjusted annual rates of medication initiation by health plan. RESULTS A total of 382 574 adults with pharmacologically treated type 2 diabetes (52.9% men; mean [SD] age, 62.4 [2.7] years) were identified, including 172 180 Medicare Advantage and 210 394 commercial beneficiaries. From 2016 to 2019, adjusted rates of initiation of GLP-1RA, SGLT2i, and DPP-4i treatment increased among all beneficiaries, from 2.14% to 20.02% for GLP-1RA among commercial insurance beneficiaries and from 1.50% to 11.44% among Medicare Advantage beneficiaries; from 2.74% to 18.15% for SGLT2i among commercial insurance beneficiaries and from 1.57% to 8.51% among Medicare Advantage beneficiaries; and from 3.30% to 11.71% for DPP-4i among commercial insurance beneficiaries and from 2.44% to 7.68% among Medicare Advantage beneficiaries. Initiation rates for all 3 drug classes were consistently lower among Medicare Advantage than among commercial insurance beneficiaries. Within each calendar year, the odds of initiating GLP-1RA treatment ranged from 0.28 (95% CI, 0.26-0.29) to 0.70 (95% CI, 0.65-0.75) for Medicare Advantage and commercial insurance beneficiaries, respectively; SGLT2i, from 0.21 (95% CI, 0.20-0.22) to 0.57 (95% CI, 0.53-0.61), respectively; and DPP-4i, from 0.37 (95% CI, 0.34-0.39) to 0.73 (95% CI, 0.69-0.78), respectively (P < .001 for all). The odds of starting GLP-1RA and SGLT2i increased with income; for an income of $200 000 and higher vs less than $40 000, the odds ratio for GLP-1RA was 1.23 (95% CI, 1.15-1.32) and for SGLT2i was 1.16 (95% CI, 1.09-1.24). CONCLUSIONS AND RELEVANCE These findings suggest that Medicare Advantage beneficiaries may be less likely than commercially insured beneficiaries to be treated with newer medications to lower glucose levels, with greater disparities among lower-income patients. Better understanding of nonclinical factors contributing to treatment decisions and efforts to promote greater equity in diabetes management appear to be needed.
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Affiliation(s)
- Rozalina G. McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Holly K. Van Houten
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Yihong Deng
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
| | - Pinar Karaca Mandic
- Department of Finance and Medical Industry Leadership Institute, Carlson School of Management, University of Minnesota, Minneapolis
- National Bureau of Economic Research, Cambridge, Massachusetts
| | - Joseph S. Ross
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
- Center for Outcomes Research and Evaluation, Yale–New Haven Hospital, New Haven, Connecticut
| | - Victor M. Montori
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Knowledge Evaluation Research Unit, Rochester, Minnesota
| | - Nilay D. Shah
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota
- OptumLabs, Cambridge, Massachusetts
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LaVecchia CM, Montori VM, Shah ND, McCoy RG. Values informing the development of an indicator of appropriate diabetes therapy: qualitative study. BMJ Open 2020; 10:e044395. [PMID: 33268435 PMCID: PMC7713200 DOI: 10.1136/bmjopen-2020-044395] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVES Despite increasing focus on individualised diabetes management, current diabetes quality measures are based on meeting generic haemoglobin A1c thresholds and do not reflect considerations of clinical complexity, hypoglycaemic susceptibility or treatment burden. Our team observed a multidisciplinary stakeholder panel tasked with informing an appropriate diabetes therapy indicator (ADTI) and analysed their deliberations, seeking to understand what constitutes appropriate diabetes therapy and how it can be captured using an operational quality indicator. We focused specifically on factors the panel valued in an ideal indicator, how they defined appropriateness and how they thought an indicator of appropriateness could be operationalised. DESIGN Qualitative study examining Delphi panel deliberations as it iteratively refined the ADTI. PARTICIPANTS AND METHODS The 12-member panel was comprised of clinicians (endocrinology, primary care, geriatrics), pharmacists, nurses, researchers, and representatives of public and private health plans. It met for four teleconference calls and deliberated asynchronously using semi-structured questionnaires following each call to develop the ADTI. These semistructured questionnaires, as well as the meeting minutes, were then analysed using an inductive thematic approach. RESULTS We identified three themes in panellist discussions that represented the core value systems underpinning the indicator and its formation: (1) promoting individualised, evidence-based and equitable care; (2) balancing autonomy and prescriptiveness in clinical decision-making; and (3) ensuring an accurate, reliable and practical indicator. These three principles were operationalised into definitions of treatment intensity and clinical complexity, and yielded an indicator that participants judged both fair and effective. CONCLUSIONS Better understanding of what multidisciplinary stakeholders perceive as appropriate diabetes management can help develop quality indicators that are patient-centred, evidence-based, equitable and pragmatic across a range of clinical settings.
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Affiliation(s)
- Christina M LaVecchia
- School of Arts and Sciences, Neumann University, Aston, Pennsylvania, USA
- Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, Minnesota, USA
| | - Victor M Montori
- Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, Minnesota, USA
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Nilay D Shah
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States
- OptumLabs, Cambridge, MA, United States
| | - Rozalina G McCoy
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
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McCoy RG, Lipska KJ, Van Houten HK, Shah ND. Development and evaluation of a patient-centered quality indicator for the appropriateness of type 2 diabetes management. BMJ Open Diabetes Res Care 2020; 8:8/2/e001878. [PMID: 33234510 PMCID: PMC7689069 DOI: 10.1136/bmjdrc-2020-001878] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/07/2020] [Accepted: 11/04/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Current diabetes quality measures are agnostic to patient clinical complexity and type of treatment required to achieve it. Our objective was to introduce a patient-centered indicator of appropriate diabetes therapy indicator (ADTI), designed for patients with type 2 diabetes, which is based on hemoglobin A1c (HbA1c) but is also contextualized by patient complexity and treatment intensity. RESEARCH DESIGN AND METHODS A draft indicator was iteratively refined by a multidisciplinary Delphi panel using existing quality measures, guidelines, and published literature. ADTI performance was then assessed using OptumLabs Data Warehouse data for 2015. Included adults (n=206 279) with type 2 diabetes were categorized as clinically complex based on comorbidities, then categorized as treated appropriately, overtreated, or undertreated based on a matrix of clinical complexity, HbA1c level, and medications used. Associations between ADTI and emergency department/hospital visits for hypoglycemia and hyperglycemia were assessed by calculating event rates for each treatment intensity subset. RESULTS Overall, 7.4% of patients with type 2 diabetes were overtreated and 21.1% were undertreated. Patients with high complexity were more likely to be overtreated (OR 5.60, 95% CI 5.37 to 5.83) and less likely to be undertreated (OR 0.65, 95% CI 0.62 to 0.68) than patients with low complexity. Overtreated patients had higher rates of hypoglycemia than appropriately treated patients (22.0 vs 6.2 per 1000 people/year), whereas undertreated patients had higher rates of hyperglycemia (8.4 vs 1.9 per 1000 people/year). CONCLUSIONS The ADTI may facilitate timely, patient-centered treatment intensification/deintensification with the goal of achieving safer evidence-based care.
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Affiliation(s)
- Rozalina G McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Kasia J Lipska
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Holly K Van Houten
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Nilay D Shah
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
- OptumLabs, Cambridge, Massachusetts, USA
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McCoy RG, Lipska KJ, Van Houten HK, Shah ND. Paradox of glycemic management: multimorbidity, glycemic control, and high-risk medication use among adults with diabetes. BMJ Open Diabetes Res Care 2020; 8:8/1/e001007. [PMID: 32075810 PMCID: PMC7039576 DOI: 10.1136/bmjdrc-2019-001007] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/09/2020] [Accepted: 01/15/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Glycemic targets and glucose-lowering regimens should be individualized based on multiple factors, including the presence of comorbidities. We examined contemporary patterns of glycemic control and use of medications known to cause hypoglycemia among adults with diabetes across age and multimorbidity. RESEARCH DESIGN AND METHODS We retrospectively examined glycosylated hemoglobin (HbA1c) levels and rates of insulin/sulfonylurea use as a function of age and multimorbidity using administrative claims and laboratory data for adults with type 2 diabetes included in OptumLabs Data Warehouse, 1 January 2014 to 31 December 2016. Comorbidity burden was assessed by counts of any of 16 comorbidities specified by guidelines as warranting relaxation of HbA1c targets, classified as being diabetes concordant (diabetes complications or risk factors), discordant (unrelated to diabetes), or advanced (life limiting). RESULTS Among 194 157 patients with type 2 diabetes included in the study, 45.2% had only concordant comorbidities, 30.6% concordant and discordant, 2.7% only discordant, and 13.0% had ≥1 advanced comorbidity. Mean HbA1c was 7.7% among 18-44 year-olds versus 6.9% among ≥75 year-olds, and was higher among patients with comorbidities: 7.3% with concordant only, 7.1% with discordant only, 7.1% with concordant and discordant, and 7.0% with advanced comorbidities compared with 7.4% among patients without comorbidities. The odds of insulin use decreased with age (OR 0.51 (95% CI 0.48 to 0.54) for age ≥75 vs 18-44 years) but increased with accumulation of concordant (OR 5.50 (95% CI 5.22 to 5.79) for ≥3 vs none), discordant (OR 1.72 (95% CI 1.60 to 1.86) for ≥3 vs none), and advanced (OR 1.45 (95% CI 1.25 to 1.68) for ≥2 vs none) comorbidities. Conversely, sulfonylurea use increased with age (OR 1.36 (95% CI 1.29 to 1.44) for age ≥75 vs 18-44 years) but decreased with accumulation of concordant (OR 0.76 (95% CI 0.73 to 0.79) for ≥3 vs none), discordant (OR 0.70 (95% CI 0.64 to 0.76) for ≥3 vs none), but not advanced (OR 0.86 (95% CI 0.74 to 1.01) for ≥2 vs none) comorbidities. CONCLUSIONS The proportion of patients achieving low HbA1c levels was highest among older and multimorbid patients. Older patients and patients with higher comorbidity burden were more likely to be treated with insulin to achieve these HbA1c levels despite potential for hypoglycemia and uncertain long-term benefit.
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Affiliation(s)
- Rozalina G McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Kasia J Lipska
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Holly K Van Houten
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Nilay D Shah
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
- OptumLabs, Cambridge, Massachusetts, USA
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