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Remenchik E, Mayo PR, Hobbs TM, Greytok JA, Foster EP, Zhao C, Ure D, Trepanier DJ, Foster RT. Effect of a High-Fat Meal on Single-Dose Rencofilstat (CRV431) Oral Bioavailability in Healthy Human Subjects. Clin Pharmacol Drug Dev 2023; 12:287-293. [PMID: 36251165 DOI: 10.1002/cpdd.1179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/12/2022] [Indexed: 11/08/2022]
Abstract
Rencofilstat (RCF) is a novel cyclophilin inhibitor under development for the treatment of nonalcoholic steatohepatitis and hepatocellular carcinoma. This phase 1, randomized, open-label study in healthy participants assessed the relative bioavailability of a single dose of RCF 225-mg soft gelatin capsules in both fasted and high-fat conditions. Forty-four participants were enrolled to either the fasted (n = 24) or the high-fat fed (n = 20) arm. Noncompartmental pharmacokinetics were evaluated following a single 225-mg oral dose. Administration of RCF with a high-fat meal led to increases in maximum concentration, area under the concentration-time curve (AUC) from time 0 to 24 hours, and AUC from time 0 to infinity fed-to-fasted geometric mean ratios of 102.2%, 114.5%, and 132.9%, respectively. All AUC geometric mean ratios were outside of the 80% to 125% range, suggesting that a high-fat meal can increase the extent of RCF exposure. Time to maximum concentration increased from 1.5 to 1.8 hours in the fasted and high-fat groups, respectively, suggesting slightly delayed absorption. High fat intake may delay gastric emptying while increasing the absorption and bioavailability of RCF. No treatment-emergent adverse events were observed in the fasted group, and 1 treatment-emergent adverse event occurred in the high-fat meal group. The differences in observed whole-blood concentrations are unlikely to have clinically relevant effects given the wide therapeutic index of RCF demonstrated in previous phase 1 studies.
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Affiliation(s)
| | | | | | | | | | | | - Daren Ure
- Hepion Pharmaceuticals, Edison, New Jersey, USA
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2
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Harrison SA, Mayo PR, Hobbs TM, Canizares C, Foster EP, Zhao C, Ure DR, Trepanier DJ, Greytok JA, Foster RT. Rencofilstat, a cyclophilin inhibitor: A phase 2a, multicenter, single-blind, placebo-controlled study in F2/F3 NASH. Hepatol Commun 2022; 6:3379-3392. [PMID: 36271849 PMCID: PMC9701462 DOI: 10.1002/hep4.2100] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 01/21/2023] Open
Abstract
Rencofilstat (RCF) demonstrated antifibrotic effects in preclinical models and was safe and well tolerated in Phase 1 studies. The aim of this Phase 2a study was safety, tolerability, pharmacokinetics, and exploration of efficacy biomarkers in subjects with nonalcoholic steatohepatitis (NASH). This Phase 2a, multicenter, single-blind, placebo-controlled study randomized 49 presumed F2/F3 subjects to RCF 75 mg once daily (QD), RCF 225 mg QD, or placebo for 28 days. Primary safety and tolerability endpoints were explored using descriptive statistics with post hoc analyses comparing active to placebo groups. Pharmacokinetics were evaluated using population pharmacokinetics methods. Efficacy was explored using biomarkers, transcriptomics, and lipidomics. RCF was safe and well tolerated, with no safety signals identified. The most frequently reported treatment-emergent adverse events were constipation, diarrhea, back pain, dizziness, and headache. No clinically significant changes in laboratory parameters were observed, and RCF pharmacokinetics were unchanged in subjects with NASH. Alanine transaminase (ALT) reduction was greater in active subjects than in placebo groups. Nonparametric analysis suggested that ALT reductions were statistically different in the 225-mg cohort compared with matching placebo: -16.3 ± 25.5% versus -0.7 ± 13.4%, respectively. ProC3 and C6M reduction was statistically significant in groups having baseline ProC3 > 15.0 ng/ml. RCF was safe and well tolerated after 28 days in subjects with presumed F2/F3 NASH. Presence of NASH did not alter its pharmacokinetics. Reductions in ALT, ProC3, and C6M suggest direct antifibrotic effects with longer treatment duration. Reductions in key collagen genes support a mechanism of action via suppression and/or regression of collagen deposition. Conclusion: These results support advancement of rencofilstat into a larger and longer Phase 2b study.
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Affiliation(s)
- Stephen A. Harrison
- Radcliffe Department of MedicineUniversity of Oxford, Pinnacle Clinical ResearchLive OakTexasUSA
| | - Patrick R. Mayo
- Research and DevelopmentHepion Pharmaceuticals, Inc.EdmontonAlbertaCanada
| | - Todd M. Hobbs
- Clinical, Medical and RegulatoryHepion Pharmaceuticals, Inc.EdisonNew JerseyUSA
| | - Carlos Canizares
- Clinical, Medical and RegulatoryHepion Pharmaceuticals, Inc.EdisonNew JerseyUSA
| | - Erin P. Foster
- Research and DevelopmentHepion Pharmaceuticals, Inc.EdmontonAlbertaCanada
| | - Caroline Zhao
- Research and DevelopmentHepion Pharmaceuticals, Inc.EdmontonAlbertaCanada
| | - Daren R. Ure
- Research and DevelopmentHepion Pharmaceuticals, Inc.EdmontonAlbertaCanada
| | | | - Jill A. Greytok
- Clinical, Medical and RegulatoryHepion Pharmaceuticals, Inc.EdisonNew JerseyUSA
| | - Robert T. Foster
- Research and DevelopmentHepion Pharmaceuticals, Inc.EdmontonAlbertaCanada
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3
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Mariam A, Miller‐Atkins G, Pantalone KM, Iyer N, Misra‐Hebert AD, Milinovich A, Bauman J, Mocarski M, Ramasamy A, Smolarz BG, Hobbs TM, Zimmerman RS, Burguera B, Kattan MW, Rotroff DM. Associations of weight loss with obesity-related comorbidities in a large integrated health system. Diabetes Obes Metab 2021; 23:2804-2813. [PMID: 34472680 PMCID: PMC9292723 DOI: 10.1111/dom.14538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 01/01/2023]
Abstract
AIMS To determine the health outcomes associated with weight loss in individuals with obesity, and to better understand the relationship between disease burden (disease burden; ie, prior comorbidities, healthcare utilization) and weight loss in individuals with obesity by analysing electronic health records (EHRs). MATERIALS AND METHODS We conducted a case-control study using deidentified EHR-derived information from 204 921 patients seen at the Cleveland Clinic between 2000 and 2018. Patients were aged ≥20 years with body mass index ≥30 kg/m2 and had ≥7 weight measurements, over ≥3 years. Thirty outcomes were investigated, including chronic and acute diseases, as well as psychological and metabolic disorders. Weight change was investigated 3, 5 and 10 years prior to an event. RESULTS Weight loss was associated with reduced incidence of many outcomes (eg, type 2 diabetes, nonalcoholic steatohepatitis/nonalcoholic fatty liver disease, obstructive sleep apnoea, hypertension; P < 0.05). Weight loss >10% was associated with increased incidence of certain outcomes including stroke and substance abuse. However, many outcomes that increased with weight loss were attenuated by disease burden adjustments. CONCLUSIONS This study provides the most comprehensive real-world evaluation of the health impacts of weight change to date. After comorbidity burden and healthcare utilization adjustments, weight loss was associated with an overall reduction in risk of many adverse outcomes.
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Affiliation(s)
- Arshiya Mariam
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
| | - Galen Miller‐Atkins
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
| | | | | | - Anita D. Misra‐Hebert
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
- Department of Internal Medicine, Cleveland Clinic Community CareCleveland ClinicClevelandOhioUSA
- Healthcare Delivery and Implementation Science CenterCleveland ClinicClevelandOhioUSA
| | - Alex Milinovich
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
| | - Janine Bauman
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
| | | | | | | | | | | | | | - Michael W. Kattan
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
| | - Daniel M. Rotroff
- Department of Quantitative Health SciencesLerner Research Institute, Cleveland ClinicClevelandOhioUSA
- Endocrinology and Metabolism InstituteCleveland ClinicClevelandOhioUSA
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4
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Pantalone KM, Misra-Hebert AD, Hobbs TM, Kong SX, Ji X, Ganguly R, Milinovich A, Weng W, Bauman JM, Petraro P, Burguera B, Zimmerman RS, Kattan MW. The Probability of A1C Goal Attainment in Patients With Uncontrolled Type 2 Diabetes in a Large Integrated Delivery System: A Prediction Model. Diabetes Care 2020; 43:1910-1919. [PMID: 32527797 PMCID: PMC7372043 DOI: 10.2337/dc19-0968] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 04/26/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess patient characteristics and treatment factors associated with uncontrolled type 2 diabetes (T2D) and the probability of hemoglobin A1c (A1C) goal attainment. RESEARCH DESIGN AND METHODS This was a retrospective cohort study using the electronic health record at Cleveland Clinic. Patients with uncontrolled T2D (A1C >9%) were identified on the index date of 31 December 2016 (n = 6,973) and grouped by attainment (n = 1,653 [23.7%]) or nonattainment (n = 5,320 [76.3%]) of A1C <8% by 31 December 2017, and subgroups were compared on a number of demographic and clinical variables. On the basis of these variables, a nomogram was created for predicting probability of A1C goal attainment. RESULTS For the entire population, median age at index date was 57.7 years (53.3% male), and the majority were white (67.2%). Median A1C was 10.2%. Obesity (50.6%), cardiovascular disease (46.9%), and psychiatric disease (61.1%) were the most common comorbidities. Metformin (62.7%) and sulfonylureas (38.7%) were the most common antidiabetes medications. Only 1,653 (23.7%) patients achieved an A1C <8%. Predictors of increased probability of A1C goal attainment were older age, white/non-Hispanic race/ethnicity, Medicare health insurance, lower baseline A1C, higher frequency of endocrinology/primary care visits, dipeptidyl peptidase 4 inhibitor use, thiazolidinedione use, metformin use, glucagon-like peptide 1 receptor agonist use, and fewer classes of antidiabetes drugs. Factors associated with lower probability included insulin use and longer time in the T2D database (both presumed as likely surrogates for duration of T2D). CONCLUSIONS A minority of patients with an A1C >9% achieved an A1C <8% at 1 year. While most identified predictive factors are nonmodifiable by the clinician, pursuit of frequent patient engagement and tailored drug regimens may help to improve A1C goal attainment.
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Affiliation(s)
- Kevin M Pantalone
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH
| | - Anita D Misra-Hebert
- Internal Medicine, Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, OH.,Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | | | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Xinge Ji
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Rahul Ganguly
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Janine M Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Paul Petraro
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
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5
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Pantalone KM, Misra-Hebert AD, Hobbs TM, Ji X, Kong SX, Milinovich A, Weng W, Bauman JM, Ganguly R, Burguera B, Kattan MW, Zimmerman RS. Intensification patterns and the probability of HbA 1c goal attainment in Type 2 diabetes mellitus: real-world evidence for the concept of 'intensification inertia'. Diabet Med 2020; 37:1114-1124. [PMID: 30653705 DOI: 10.1111/dme.13900] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/14/2019] [Indexed: 12/25/2022]
Abstract
AIMS To assess the effects of 'clinical' and 'intensification inertia' by evaluating the impact of different intensification interventions on the probability of HbA1c goal attainment using real-world data. METHODS Electronic health records (Cleveland Clinic, 2005-2016) were used to identify 7389 people with Type 2 diabetes mellitus and HbA1c ≥53 mmol/mol (≥7.0%), despite a stable regimen of two oral antihyperglycaemic drugs for ≥6 months. The participants were stratified by index HbA1c and analysed over a 6-month period for pharmacological intensification, and then for 12 additional months for HbA1c goal attainment (<53 mmol/mol). RESULTS The probability of HbA1c goal attainment (Kaplan-Meier analysis) in the group with index HbA1c 53-63 mmol/mol (7.0-7.9%) was highest with the addition of oral antidiabetic drugs [57.3% (95% CI 52.1, 62.0)] or glucagon-like peptide-1 receptor agonists [56.7% (95% CI 40.4, 68.6)], in the 64-74 mmol/mol (8.0-8.9%) group with the addition of oral antidiabetic drugs [31.9% (95% CI 25.1, 38.1)] or insulin [30.6% (95% CI 18.3, 41.0)], and in the ≥75 mmol/mol (≥9.0%) group with the addition of glucagon-like peptide-1 receptor agonists [53.0% (95% CI 31.8, 67.6)] or insulin [43.5% (95% CI 36.4, 49.8)]. CONCLUSIONS Numerical, but not statistically significant, differences in HbA1c goal attainment probability by type of intensification were most marked in people with the highest index HbA1c [≥75 mmol/mol (≥9.0%)]; in this group, injectable therapy showed trends toward greater glycaemic control benefits. Additional research into the phenomenon of intensification inertia is warranted.
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Affiliation(s)
- K M Pantalone
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, USA
| | - A D Misra-Hebert
- Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - T M Hobbs
- Chief Medical Officer, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - X Ji
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - S X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - A Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - W Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - J M Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - R Ganguly
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - B Burguera
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, USA
- Bariatric and Metabolic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - M W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - R S Zimmerman
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, USA
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6
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Shibuya K, Ji X, Pfoh ER, Milinovich A, Weng W, Bauman J, Ganguly R, Misra-Hebert AD, Hobbs TM, Kattan MW, Pantalone KM, Ramasamy A, Burguera B. Association between shared medical appointments and weight loss outcomes and anti-obesity medication use in patients with obesity. Obes Sci Pract 2020; 6:247-254. [PMID: 32523713 PMCID: PMC7278906 DOI: 10.1002/osp4.406] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 01/19/2023] Open
Abstract
Objective In shared medical appointments (SMAs), multiple patients with a similar clinical diagnosis are seen by a multidisciplinary team for interactive group sessions. Very few studies have specifically studied SMAs and weight loss in patients with obesity. This study compared weight loss outcomes and anti‐obesity medication (AOM) access between patients with obesity managed through (SMAs) versus individual appointments. Methods Retrospective study of adults seen for obesity between September 2014 and February 2017 at Cleveland Clinic Institute of Endocrinology and Metabolism. Percent weight loss from baseline was compared between two propensity score‐matched populations: patients who attended ≥1 SMA and patients managed with individual medical appointments. Results From all eligible patients identified (n=310 SMA, n=1,993 non‐SMA), 301 matched pairs were evaluated for weight loss. The SMA group (n=301) lost a mean of 4.2%, 5.2% and 3.8% of baseline weight over 6, 12 and 24 months; the non‐SMA group (n=301) lost significantly less weight (1.5%, 1.8% and 1.6%, respectively) (paired t‐test, P<.05). All patients were eligible for US Food and Drug Administration‐approved AOMs based on obesity diagnosis; however, 49.8% (150/301) of matched SMA patients were prescribed an AOM versus 12.3% (37/301) of matched non‐SMA patients. Conclusion This study suggests that SMAs may offer a promising alterative for obesity management and one that may facilitate greater utilization of AOMs. In propensity score‐matched cohorts, SMAs were associated with greater weight loss outcomes when compared to usual care facilitated through individual medical appointments alone.
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Affiliation(s)
- Kelly Shibuya
- Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland Ohio
| | - Xinge Ji
- Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland Ohio.,Quantitative Health Sciences Cleveland Clinic Cleveland Ohio.,Department of Internal Medicine Cleveland Clinic Community Care Cleveland Ohio.,Health Economics and Outcomes Research Novo Nordisk Inc. Plainsboro New Jersey.,Diabetes, Chief Medical Officer Novo Nordisk Inc. Plainsboro New Jersey.,Endocrinology and Metabolism Institute Cleveland Clinic Cleveland New Jersey.,National Diabetes and Obesity Research Institute Tradition Mississippi
| | - Elizabeth R Pfoh
- Department of Internal Medicine Cleveland Clinic Community Care Cleveland Ohio
| | - Alex Milinovich
- Quantitative Health Sciences Cleveland Clinic Cleveland Ohio
| | - Wayne Weng
- Health Economics and Outcomes Research Novo Nordisk Inc. Plainsboro New Jersey
| | - Janine Bauman
- Quantitative Health Sciences Cleveland Clinic Cleveland Ohio
| | - Rahul Ganguly
- Health Economics and Outcomes Research Novo Nordisk Inc. Plainsboro New Jersey
| | - Anita D Misra-Hebert
- Quantitative Health Sciences Cleveland Clinic Cleveland Ohio.,Department of Internal Medicine Cleveland Clinic Community Care Cleveland Ohio
| | - Todd M Hobbs
- Diabetes, Chief Medical Officer Novo Nordisk Inc. Plainsboro New Jersey
| | | | - Kevin M Pantalone
- Endocrinology and Metabolism Institute Cleveland Clinic Cleveland New Jersey
| | - Abhilasha Ramasamy
- Health Economics and Outcomes Research Novo Nordisk Inc. Plainsboro New Jersey
| | - Bartolome Burguera
- Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland Ohio.,Endocrinology and Metabolism Institute Cleveland Clinic Cleveland New Jersey.,National Diabetes and Obesity Research Institute Tradition Mississippi
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7
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Pantalone KM, Misra-Hebert AD, Hobbs TM, Ji X, Kong SX, Milinovich A, Weng W, Bauman J, Ganguly R, Burguera B, Kattan MW, Zimmerman RS. Clinical Inertia in Type 2 Diabetes Management: Evidence From a Large, Real-World Data Set. Diabetes Care 2018; 41:e113-e114. [PMID: 29678811 DOI: 10.2337/dc18-0116] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/24/2018] [Indexed: 02/03/2023]
Affiliation(s)
- Kevin M Pantalone
- Endocrinology & Metabolism Institute, Cleveland Clinic, Cleveland, OH
| | - Anita D Misra-Hebert
- Medicine Institute, Cleveland Clinic, Cleveland, OH.,Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | | | - Xinge Ji
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Janine Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Rahul Ganguly
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ
| | - Bartolome Burguera
- Endocrinology & Metabolism Institute, Cleveland Clinic, Cleveland, OH.,Bariatric & Metabolic Institute, Cleveland Clinic, Cleveland, OH
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8
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Pantalone KM, Misra-Hebert AD, Hobbs TM, Ji X, Kong SX, Milinovich A, Weng W, Bauman J, Ganguly R, Burguera B, Kattan MW, Zimmerman RS. Antidiabetic treatment patterns and specialty care utilization among patients with type 2 diabetes and cardiovascular disease. Cardiovasc Diabetol 2018; 17:54. [PMID: 29636104 PMCID: PMC5892008 DOI: 10.1186/s12933-018-0699-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 04/02/2018] [Indexed: 01/14/2023] Open
Abstract
Background To evaluate real-world patient characteristics, medication use, and health care utilization patterns in patients with type 2 diabetes with established cardiovascular disease (CVD). Methods Cross-sectional analysis of patients with type 2 diabetes seen at Cleveland Clinic from 2005 to 2016, divided into two cohorts: with-CVD and without-CVD. Patient demographics and antidiabetic medications were recorded in December 2016; department encounters included all visits from 1/1/2016 to 12/31/2016. Comorbidity burden was assessed by the diabetes complications severity index (DCSI) score. Results Of 95,569 patients with type 2 diabetes, 40,910 (42.8%) were identified as having established CVD. Patients with CVD vs. those without were older (median age 69.1 vs. 58.2 years), predominantly male (53.8% vs. 42.6%), and more likely to have Medicare insurance (69.4% vs. 35.3%). The with-CVD cohort had a higher proportion of patients with a DCSI score ≥ 3 than the without-CVD cohort (65.0% vs. 10.3%). Utilization rates of glucagon-like peptide-1 receptor agonists and sodium–glucose co-transporter-2 inhibitors were low in both with-CVD (4.1 and 2.5%) and without-CVD cohorts (5.4 and 4.1%), respectively. The majority of patient visits (75%) were seen by a primary care provider. During the 1-year observation period, 81.9 and 62.0% of patients with type 2 diabetes and CVD were not seen by endocrinology or cardiology, respectively. Conclusions These data indicated underutilization of specialists and antidiabetic medications reported to confer CV benefit in patients with type 2 diabetes and CVD. The impact of recently updated guidelines and cardiovascular outcome trial results on management patterns in such patients remains to be seen.
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Affiliation(s)
- Kevin M Pantalone
- Department of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA.
| | - Anita D Misra-Hebert
- Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.,Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | | | - Xinge Ji
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Janine Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Rahul Ganguly
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Bartolome Burguera
- Department of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA.,Bariatric and Metabolic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Michael W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Robert S Zimmerman
- Department of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA
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9
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Pantalone KM, Misra-Hebert AD, Hobbs TM, Wells BJ, Kong SX, Chagin K, Dey T, Milinovich A, Weng W, Bauman JM, Burguera B, Zimmerman RS, Kattan MW. Effect of glycemic control on the Diabetes Complications Severity Index score and development of complications in people with newly diagnosed type 2 diabetes. J Diabetes 2018; 10:192-199. [PMID: 28976724 DOI: 10.1111/1753-0407.12613] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 09/26/2017] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND The aim of the present study was to assess the longitudinal accumulation of diabetes-related complications and the effect of glycemic control on the Diabetes Complications Severity Index (DCSI) score in people with newly diagnosed type 2 diabetes (T2D). METHODS A retrospective cohort study was conducted using electronic health records from a large integrated healthcare system. People with newly diagnosed T2D were identified between 2005 and 2016 and stratified by initial HbA1c category (<7%, <8%, ≥8%). The DCSI scores were determined for each study year, and the cumulative incidence of diabetes-related complications was assessed. A Cox proportional hazard model was used to evaluate the effect of baseline HbA1c and worsening glycemic (HbA1c) control on longitudinal changes in DCSI scores. RESULTS Of 32 174 people identified as having newly diagnosed T2D, 14 016 (44%), 21 657 (67%), and 9983 (31%) had an initial or baseline HbA1c <7%, <8%, and ≥8%, respectively. Ten years after diabetes diagnosis, retinopathy, chronic kidney disease, coronary heart disease, and neuropathy were diagnosed in 22%, 29%, 24%, and 36% of people. Baseline HbA1c did not affect the observed trend in longitudinal changes in DCSI scores throughout the 11-year period. For people in each of the initial HbA1c groups (<7%, <8%, ≥8%), worsening or persistently poor glycemic control was significantly associated with a 10%, 19%, or 16% increase in the risk of experiencing an increased DCSI score, respectively (all P < 0.01). CONCLUSIONS Baseline glycemic control had no apparent effect on longitudinal changes in DCSI score. Worsening or persistently poor glycemic control was associated with an increased risk of an increase in the DCSI score.
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Affiliation(s)
- Kevin M Pantalone
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Anita D Misra-Hebert
- Medicine Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Todd M Hobbs
- Diabetes, Novo Nordisk, Inc., Plainsboro, New Jersey, USA
| | - Brian J Wells
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North, Carolina, USA
| | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk, Inc., Plainsboro, New Jersey, USA
| | - Kevin Chagin
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Tanujit Dey
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk, Inc., Plainsboro, New Jersey, USA
| | - Janine M Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bartolome Burguera
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Robert S Zimmerman
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Michael W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
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Pantalone KM, Hobbs TM, Chagin KM, Kong SX, Wells BJ, Kattan MW, Bouchard J, Sakurada B, Milinovich A, Weng W, Bauman J, Misra-Hebert AD, Zimmerman RS, Burguera B. Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system. BMJ Open 2017; 7:e017583. [PMID: 29150468 PMCID: PMC5702021 DOI: 10.1136/bmjopen-2017-017583] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 09/28/2017] [Accepted: 10/18/2017] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity, via International Classification of Diseases, Ninth Revision (ICD-9) documentation among patients with body mass index (BMI) ≥30 kg/m2. DESIGN The electronic health record system at Cleveland Clinic was used to create a cross-sectional summary of actively managed patients meeting minimum primary care physician visit frequency requirements. Eligible patients were stratified by BMI categories, based on most recent weight and median of all recorded heights obtained on or before the index date of 1July 2015. Relationships between patient characteristics and BMI categories were tested. SETTING A large US integrated health system. RESULTS A total of 324 199 active patients with a recorded BMI were identified. There were 121 287 (37.4%) patients found to be overweight (BMI ≥25 and <29.9), 75 199 (23.2%) had BMI 30-34.9, 34 152 (10.5%) had BMI 35-39.9 and 25 137 (7.8%) had BMI ≥40. There was a higher prevalence of type 2 diabetes, pre-diabetes, hypertension and cardiovascular disease (P value<0.0001) within higher BMI compared with lower BMI categories. In patients with a BMI >30 (n=134 488), only 48% (64 056) had documentation of an obesity ICD-9 code. In those patients with a BMI >40, only 75% had an obesity ICD-9 code. CONCLUSIONS This cross-sectional summary from a large US integrated health system found that three out of every four patients had overweight or obesity based on BMI. Patients within higher BMI categories had a higher prevalence of comorbidities. Less than half of patients who were identified as having obesity according to BMI received a formal diagnosis via ICD-9 documentation. The disease of obesity is very prevalent yet underdiagnosed in our clinics. The under diagnosing of obesity may serve as an important barrier to treatment initiation.
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Affiliation(s)
- Kevin M Pantalone
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Todd M Hobbs
- Diabetes, Novo Nordisk Inc., Plainsboro, New Jersey, USA
| | - Kevin M Chagin
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, New Jersey, USA
| | - Brian J Wells
- Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jonathan Bouchard
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, New Jersey, USA
| | - Brian Sakurada
- Medical Affairs, Novo Nordisk Inc., Plainsboro, New Jersey, USA
| | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, New Jersey, USA
| | - Janine Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Robert S Zimmerman
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bartolome Burguera
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
- National Diabetes and Obesity Research Insitute, Tradition, Mississippi, USA
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Zimmerman RS, Hobbs TM, Wells BJ, Kong SX, Kattan MW, Bouchard J, Chagin KM, Yu C, Sakurada B, Milinovich A, Weng W, Bauman JM, Pantalone KM. Association of glucagon-like peptide-1 receptor agonist use and rates of acute myocardial infarction, stroke and overall mortality in patients with type 2 diabetes mellitus in a large integrated health system. Diabetes Obes Metab 2017; 19:1555-1561. [PMID: 28407414 DOI: 10.1111/dom.12969] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 04/07/2017] [Accepted: 04/10/2017] [Indexed: 11/28/2022]
Abstract
AIMS To assess the potential impact of glucagon-like peptide-1 receptor agonist (GLP-1RA) exposure on cardiovascular disease (CVD) and mortality outcomes in patients with type 2 diabetes (T2D), using a large retrospective cohort. RESEARCH DESIGN AND METHODS Patients who had T2D between 2005 and 2014 (N = 105 862) were identified from the electronic health record system at Cleveland Clinic using a validated electronic phenotype. A time-dependent, Cox, multiple regression analysis was used to assess the association between GLP-1RA exposure and risk of acute myocardial infarction (AMI), stroke/cerebrovascular accident (CVA), and overall mortality, as well as the composite of all three outcomes. The findings were further evaluated by assessing the effect of GLP-1RAs on the same variables in patients with and without prior CVD. The model adjusted for differences in demographic information, hypertension, laboratory/vital signs, history of outcomes, and T2D medications. RESULTS There were significantly lower rates of AMI (hazard ratio [HR] 0.80, 95% confidence interval [CI] 0.65 to 0.99; P = .045), CVA (HR 0.82, 95% CI 0.74 to 0.91, P < .001), overall mortality (HR 0.48, 95% CI 0.41 to 0.57; P < .001), and the composite outcome (HR 0.82, 95% CI 0.74 to 0.91; P < .002) during the consolidated time that patients were exposed to GLP-1RAs compared to corresponding rates during intervals without GLP-1RA exposure. GLP-1RA treatment was associated with a significant decrease in CVA, mortality, and the composite outcome in patients with and without established CVD, not significantly affecting AMI in these subgroups. CONCLUSIONS GLP-1RA exposure was found to be associated with a reduction in the risk of cardiovascular events observed and overall mortality among patients with T2D with and without established CVD, after adjusting for potential confounders.
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Affiliation(s)
| | | | - Brian J Wells
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | | | - Kevin M Chagin
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Changhong Yu
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | | | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | | | - Janine M Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
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Weng W, Tian Y, Kimball ES, Kong SX, Bouchard J, Hobbs TM, Sakurada B. Treatment patterns and clinical characteristics of patients with type 2 diabetes mellitus according to body mass index: findings from an electronic medical records database. BMJ Open Diabetes Res Care 2017; 5:e000382. [PMID: 28761654 PMCID: PMC5530246 DOI: 10.1136/bmjdrc-2016-000382] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 03/09/2017] [Accepted: 03/27/2017] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE This study evaluated relationships between glycaemic control, body mass index (BMI), comorbidities and pharmacological treatment in patients with type 2 diabetes mellitus (T2D). RESEARCH DESIGN AND METHODS This was a retrospective, cross-sectional analysis of Quintiles electronic medical records research data (study period 1 October 2013-30 September 2014). Eligibility included age ≥18 years, T2D diagnosis, and at least one available BMI measurement. RESULTS The study included 626 386 patients (mean age, 63.8 year; 51.3% female; 78.5% white; 62.6%, BMI ≥30 kg/m2). A1c data were available for 414 266 patients. The proportion of patients with good glycaemic control (A1c ≤6.5) decreased as BMI category increased, ranging from 40.1% of patients with BMI <30% to 30.1% of patients with BMI ≥40. The proportions of patients with poor glycaemic control (A1c >8% and A1c ≥9%) increased with increasing BMI category. Oral antidiabetic drugs (OAD) were the most frequently used (54.4% of patients with A1c values). Among patients using insulin-based therapy, 50% had an A1c ≥8% and 29% had an A1c ≥9% regardless of concomitant OAD or glucagon-like peptide 1 receptor agonist use. Among patients using three or more OADs, 34.3% and 16.1% had A1c values ≥8% and ≥9%, respectively. There was no common trend observed for changes in the proportion of patients with T2D-related comorbidities according to BMI category. The most notable trend was a 7.6% net increase in the percentage of patients with hypertension from BMI <30 to BMI ≥40. CONCLUSIONS This large dataset provides evidence that roughly one out of four patients with T2D is not well controlled, and the prevalence of poor glycaemic control increases as BMI increases.
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Affiliation(s)
- Wayne Weng
- Department of Health and Economics Outcomes Research, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Ye Tian
- Department of Health and Economics Outcomes Research, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Edward S. Kimball
- Medical Writing and Education, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Sheldon X. Kong
- Department of Health and Economics Outcomes Research, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Jonathan Bouchard
- Department of Health and Economics Outcomes Research, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Todd M. Hobbs
- Department of Diabetes and Obesity, Novo Nordisk, Plainsboro, New Jersey, USA
| | - Brian Sakurada
- Medical Affairs, Novo Nordisk, Plainsboro, New Jersey, USA
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Pantalone KM, Hobbs TM, Wells BJ, Kong SX, Kattan MW, Bouchard J, Chagin KM, Yu C, Sakurada B, Milinovich A, Weng W, Bauman JM, Zimmerman RS. Changes in Characteristics and Treatment Patterns of Patients with Newly Diagnosed Type 2 Diabetes in a Large United States Integrated Health System between 2008 and 2013. Clin Med Insights Endocrinol Diabetes 2016; 9:23-30. [PMID: 27398040 PMCID: PMC4930160 DOI: 10.4137/cmed.s39761] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 05/25/2016] [Accepted: 05/27/2016] [Indexed: 01/13/2023]
Abstract
To assess changes in the clinical characteristics and treatment patterns of patients with newly diagnosed type 2 diabetes (T2D), the electronic health record system at Cleveland Clinic was used to create cross-sectional summaries of all patients with new-onset T2D in 2008 and 2013. Differences between the 2008 and 2013 data sets were assessed after adjusting for age, gender, race, and income. Approximately one-third of patients with newly diagnosed T2D in 2008 and 2013 had an A1C ≥8%, suggesting the continued presence of a delayed recognition of the disease. Patients with newly diagnosed T2D in 2008 were older than those in 2013. Hypertension, cardiovascular disease, and neuropathy were highly prevalent among patients diagnosed with T2D. The prevalence of neuropathy, cerebrovascular disease, and peripheral vascular disease increased from 2008 to 2013. Metformin was the most commonly prescribed antidiabetic medication. Sulfonylurea usage remained unchanged, while use of thiazolidinediones decreased considerably.
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Affiliation(s)
| | - Todd M Hobbs
- Diabetes, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Brian J Wells
- Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sheldon X Kong
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Michael W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Jonathan Bouchard
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Kevin M Chagin
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Changhong Yu
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | | | - Alex Milinovich
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Wayne Weng
- Health Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA
| | - Janine M Bauman
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
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Pantalone KM, Hobbs TM, Wells BJ, Kong SX, Kattan MW, Bouchard J, Yu C, Sakurada B, Milinovich A, Weng W, Bauman JM, Zimmerman RS. Clinical characteristics, complications, comorbidities and treatment patterns among patients with type 2 diabetes mellitus in a large integrated health system. BMJ Open Diabetes Res Care 2015; 3:e000093. [PMID: 26217493 PMCID: PMC4513350 DOI: 10.1136/bmjdrc-2015-000093] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
PURPOSE To compare the prevalence of diabetes-related complications and comorbidities, clinical characteristics, glycemic control, and treatment patterns in patients with type 2 diabetes (T2D) within a large integrated healthcare system in 2008 vs 2013. METHODS An electronic health record system was used to create a cross-sectional summary of all patients with T2D as on 1 July 2008 and 1 July 2013. Differences between the two data sets were assessed after adjusting for age, gender, race, and household income. RESULTS In 2008 and 2013, 24 493 and 41 582 patients with T2D were identified, respectively, of which the majority were male (52.3% and 50.1%) and Caucasian (79% and 75.2%). The mean ages (years) were 64.8 and 64.3. The percentages of patients across the defined A1C categories were 64.3 and 66.7 for <7%, 21.1 and 18.8 for 7-7.9%, 7.8 and 7.5 for 8-8.9%, and 6.8 and 7.0 for ≥9% in 2008 and 2013, respectively. The most prevalent T2D-related comorbidities were hypertension (82.5% and 87.2%) and cardiovascular disease (26.9% and 22.3%) in 2008 and 2013, respectively. Thiazolidinedione and sulfonylurea use decreased, whereas metformin and dipeptidyl peptidase-4 inhibitor use increased in the 5-year period. CONCLUSIONS Patients with T2D are characterized by a high number of comorbidities. Over 85% of the patients had an A1C<8% within our integrated health delivery system in 2008 and 2013. In 2008 and 2013, metformin therapy was the most commonly utilized antidiabetic agent, and sulfonylureas were the most commonly utilized oral antidiabetic agent in combination with metformin. As integrated health systems assume greater shared financial risk in newer payment models, achieving glycemic targets (A1C) and the management of comorbidities will become ever-more important, for preventing diabetes-related complications, as well as to ensure reimbursement for the medical care that is rendered to patients with diabetes.
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Affiliation(s)
- Kevin M Pantalone
- Department of Endocrinology, Cleveland Clinic Cleveland, Cleveland, Ohio, USA
| | | | - Brian J Wells
- Wake Forrest School of Medicine, Winston-Salem, North Carolina, USA
| | - Sheldon X Kong
- Department of Health Economics and Outcomes Research, Novo Nordisk Inc, Plainsboro, New Jersey, USA
| | - Michael W Kattan
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jonathan Bouchard
- Department of Health Economics and Outcomes Research, Novo Nordisk Inc, Plainsboro, New Jersey, USA
| | - Changhong Yu
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Brian Sakurada
- Department of Medical Affairs, Novo Nordisk Inc, Plainsboro, New Jersey, USA
| | - Alex Milinovich
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Wayne Weng
- Department of Health Economics and Outcomes Research, Novo Nordisk Inc, Plainsboro, New Jersey, USA
| | - Janine M Bauman
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Robert S Zimmerman
- Department of Endocrinology, Cleveland Clinic Cleveland, Cleveland, Ohio, USA
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Garber AJ, Hobbs TM, Rasmussen S, Hahn J, Rodbard HW. Reduced Risk of Confirmed Hypoglycemia (Plasma Glucose <2.3 mmol/L) with Insulin Degludec vs. Insulin Glargine in Patients with Type 2 Diabetes: A Meta-analysis of 5 Randomized Trials. Can J Diabetes 2013. [DOI: 10.1016/j.jcjd.2013.08.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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