1
|
Nicolaisen SK, le Cessie S, Thomsen RW, Witte DR, Dekkers OM, Sørensen HT, Pedersen L. Longitudinal HbA1c patterns before the first treatment of diabetes in routine clinical practice: A latent class trajectory analysis. Diabetes Res Clin Pract 2024; 212:111722. [PMID: 38815656 DOI: 10.1016/j.diabres.2024.111722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 04/25/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024]
Abstract
AIMS To examine the longitudinal heterogeneity of HbA1c preceding the initiation of diabetes treatment in clinical practice. METHODS In this population-based study, we used HbA1c from routine laboratory and healthcare databases. Latent class trajectory analysis was used to classify individuals according to their longitudinal HbA1c patterns before first glucose-lowering drug prescription irrespective of type of diabetes. RESULTS Among 21,556 individuals initiating diabetes treatment during 2017-2018, 20,733 (96 %) had HbA1c measured (median 4 measurements [IQR 2-7]) in the 5 years preceding treatment initiation. Four classes with distinct HbA1c trajectories were identified, with varying steepness of increase in HbA1c. The largest class (74 % of the individuals) had mean HbA1c above the 48 mmol/mol threshold 9 months before treatment initiation. Mean HbA1c was 52 mmol/mol (95 % CI 52-52) at treatment initiation. In the remaining three classes, mean HbA1c exceeded 48 mmol/mol almost 1.5 years before treatment initiation and reached 79 mmol/mol (95 % CI 78-80), 105 mmol/mol (95 % CI 104-106), and 137 mmol/mol (95 % CI 135-140) before treatment initiation. CONCLUSION We identified four distinct longitudinal HbA1c patterns before initiation of diabetes treatment in clinical practice. All had mean HbA1c levels exceeding the diagnostic threshold many months before treatment initiation, indicating therapeutic inertia.
Collapse
Affiliation(s)
- Sia Kromann Nicolaisen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.
| | - Saskia le Cessie
- Department of Clinical Epidemiology & Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Reimar Wernich Thomsen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Daniel R Witte
- Steno Diabetes Center Aarhus, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Olaf M Dekkers
- Department of Clinical Epidemiology & Department of Endocrinology and Metabolism, Leiden University Medical Center, Leiden, the Netherlands
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Lars Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| |
Collapse
|
2
|
de Vries SAG, Bak JCG, Mul D, Wouters MWJM, Nieuwdorp M, Verheugt CL, Sas TCJ. Does size matter? Hospital volume and resource use in paediatric diabetes care. Diabet Med 2024; 41:e15260. [PMID: 38018287 DOI: 10.1111/dme.15260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
AIMS Paediatric diabetes care has become increasingly specialised due to the multidisciplinary approach and technological developments. Guidelines recommend sufficient experience of treatment teams. This study evaluates associations between hospital volume and resource use and hospital expenditure in Dutch children with diabetes. METHODS Retrospective cohort study using hospital claims data of 5082 children treated across 44 Dutch hospitals (2019-2020). Hospitals were categorised into three categories; small (≥20-100 patients), medium (≥100-200 patients) and large (≥200 patients). All-cause hospitalisations, consultations, technology and hospital expenditure were analysed and adjusted for age, sex, socio-economic status (SES) and hospital of treatment. RESULTS Fewer hospitalisations were observed in large hospitals compared to small hospitals (OR 0.48; [95% CI 0.32-0.72]; p < 0.001). Median number of yearly paediatrician visits was 7 in large and 6 in small hospitals, the significance of which was attenuated in multilevel analysis (OR ≥7 consultations: 1.89; [95%CI 0.74-4.83]; p = 0.18). Technology use varies between individual hospitals, whereas pump usage and real-time continuous glucose monitoring showed no significant differences between hospital volumes. Mean overall expenditure was highest in medium-sized centres with €6434 per patient (IQR €2555-7955); the difference in diabetes care costs was not significant between hospital patient volumes. CONCLUSIONS Care provision patterns vary by hospital patient volume. Large hospitals had the lowest hospitalisation rates. The use of diabetes technology was not different between hospital patient volumes. Medium-sized hospitals showed the highest overall expenditure, but diabetes care costs were similar across hospital volumes.
Collapse
Affiliation(s)
- Silvia A G de Vries
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Dutch Institute for Clinical Auditing, Leiden, The Netherlands
| | - Jessica C G Bak
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Dutch Institute for Clinical Auditing, Leiden, The Netherlands
| | - Dick Mul
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
| | - Michel W J M Wouters
- Dutch Institute for Clinical Auditing, Leiden, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, The Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Carianne L Verheugt
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Theo C J Sas
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
- Department of Pediatrics, Division of Pediatric Endocrinology, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands
| |
Collapse
|
3
|
Alkatiri AH, Qalby N, Mappangara I, Zainal ATF, Cramer MJ, Doevendans PA, Qanitha A. Stress hyperglycemia and poor outcomes in patients with ST-elevation myocardial infarction: a systematic review and meta-analysis. Front Cardiovasc Med 2024; 11:1303685. [PMID: 38529334 PMCID: PMC10961461 DOI: 10.3389/fcvm.2024.1303685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 02/15/2024] [Indexed: 03/27/2024] Open
Abstract
Background Hyperglycemia, characterized by elevated blood glucose levels, is frequently observed in patients with acute coronary syndrome, including ST-elevation myocardial infarction (STEMI). There are conflicting sources regarding the relationship between hyperglycemia and outcomes in STEMI patients. We aimed to compile evidence to assess the association between hyperglycemia and adverse outcomes. Methods We conducted a comprehensive search for articles on PubMed and Embase using search strategies which yielded 4,061 articles. After full-text screening, 66 articles were included for systematic review, and 62 articles were further selected for meta-analysis. Results The 66 included articles spanned the years 2005-2023. Of these, 45 articles reported admission blood glucose, 13 articles used HbA1c, and 7 articles studied fasting blood glucose. Most studies defined STEMI with primary PCI as their inclusion criteria. Mortality was the most often outcome reported related to hyperglycemia. Overall, 55 (83.3%) studies were at low risk of bias. Both admission and fasting blood glucose were significantly related to short- and long-term mortality after STEMI, with a pooled risk ratio (RR) of 3.02 (95%CI: 2.65-3.45) and 4.47 (95% CI: 2.54-7.87), respectively. HbA1c showed substantial association with long-term mortality (HR 1.69, 95% CI: 1.31-2.18)) with a pooled RR of 1.58 (95% CI 1.26-1.97). In subsequent analyses, admission hyperglycemia was associated with an increased risk of reinfarction (pooled RR 1.69, 95% CI 1.31-2.17), heart failure (pooled RR 1.56, 95% CI: 1.37-1.77), cardiogenic shock (pooled RR 3.68, 95% CI 2.65-5.11), repeat PCI or stent thrombosis (pooled RR 1.99, 95% CI 1.21-3.28), and composite major adverse cardiac and cerebrovascular events (MACCE) (pooled RR 1.99, 95% CI: 1.54-2.58). Conclusions Our study demonstrated that hyperglycemia has a strong association with poor outcomes after STEMI. Admission and fasting blood glucose are predictors for short-term outcomes, while HbA1c is more appropriate for predicting longer-term outcomes in STEMI patients. Systematic Review Registration PROSPERO 2021 (CRD42021292985).
Collapse
Affiliation(s)
- Abdul Hakim Alkatiri
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
- Makassar Cardiac Center, Dr. Wahidin Sudirohusodo General Teaching Hospital, Makassar, Indonesia
| | - Nurul Qalby
- Department of Public Health and Community Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
- Heart and Lung Division, Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Idar Mappangara
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
- Makassar Cardiac Center, Dr. Wahidin Sudirohusodo General Teaching Hospital, Makassar, Indonesia
| | | | - Maarten J. Cramer
- Heart and Lung Division, Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Pieter A. Doevendans
- Heart and Lung Division, Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
- Netherlands Heart Institute, Utrecht, Netherlands
| | - Andriany Qanitha
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
- Department of Physiology, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
- Doctoral Study Program, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
| |
Collapse
|
4
|
Handelsman Y, Butler J, Bakris GL, DeFronzo RA, Fonarow GC, Green JB, Grunberger G, Januzzi JL, Klein S, Kushner PR, McGuire DK, Michos ED, Morales J, Pratley RE, Weir MR, Wright E, Fonseca VA. Early intervention and intensive management of patients with diabetes, cardiorenal, and metabolic diseases. J Diabetes Complications 2023; 37:108389. [PMID: 36669322 DOI: 10.1016/j.jdiacomp.2022.108389] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 01/04/2023]
Abstract
Increasing rates of obesity and diabetes have driven corresponding increases in related cardiorenal and metabolic diseases. In many patients, these conditions occur together, further increasing morbidity and mortality risks to the individual. Yet all too often, the risk factors for these disorders are not addressed promptly in clinical practice, leading to irreversible pathologic progression. To address this gap, we convened a Task Force of experts in cardiology, nephrology, endocrinology, and primary care to develop recommendations for early identification and intervention in obesity, diabetes, and other cardiorenal and metabolic diseases. The recommendations include screening and diagnosis, early interventions with lifestyle, and when and how to implement medical therapies. These recommendations are organized into primary and secondary prevention along the continuum from obesity through the metabolic syndrome, prediabetes, diabetes, hypertension, dyslipidemia, nonalcoholic fatty liver disease (NAFLD), atherosclerotic cardiovascular disease (ASCVD) and atrial fibrillation, chronic kidney disease (CKD), and heart failure (HF). The goal of early and intensive intervention is primary prevention of comorbidities or secondary prevention to decrease further worsening of disease and reduce morbidity and mortality. These efforts will reduce clinical inertia and may improve patients' well-being and adherence.
Collapse
Affiliation(s)
| | - Javed Butler
- Baylor Scott and White Research Institute, Baylor Scott and White Health, Dallas, TX, USA; University of Mississippi Medical Center, Jackson, MS, USA
| | - George L Bakris
- American Heart Association Comprehensive Hypertension Center, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Ralph A DeFronzo
- University of Texas Health Science Center at San Antonio, Texas Diabetes Institute, San Antonio, TX, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan-UCLA Medical Center, UCLA Preventative Cardiology Program, UCLA Division of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jennifer B Green
- Division of Endocrinology and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
| | - George Grunberger
- Grunberger Diabetes Institute, Internal Medicine and Molecular Medicine & Genetics, Wayne State University School of Medicine, Department of Internal Medicine, Oakland University William Beaumont School of Medicine, Bloomfield Hills, MI, USA; Department of Internal Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - James L Januzzi
- Cardiology Division, Harvard Medical School, Massachusetts General Hospital, Cardiometabolic Trials, Baim Institute, Boston, MA, USA
| | - Samuel Klein
- Washington University School of Medicine, Saint Louis, MO, USA; Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - Pamela R Kushner
- University of California Medical Center, Kushner Wellness Center, Long Beach, CA, USA
| | - Darren K McGuire
- University of Texas Southwestern Medical Center, and Parkland Health and Hospital System, Dallas, TX, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Javier Morales
- Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Advanced Internal Medicine Group, PC, East Hills, NY, USA
| | | | - Matthew R Weir
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eugene Wright
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Vivian A Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans, LA, USA
| |
Collapse
|
5
|
Choi G, Yoon H, Choi HH, Ha KH, Kim DJ. Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes. Age Ageing 2022; 51:6612689. [PMID: 35737599 DOI: 10.1093/ageing/afac116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND active screening can improve health outcomes for people with prediabetes. However, its efficacy in older adults remains uncertain. OBJECTIVE the study aimed to analyse the progression from prediabetes to diabetes in older adults, including associated complications and mortality rates, to determine the benefits of active screening. DESIGN retrospective cohort study. SETTING Korean National Health Insurance Service claims database. SUBJECTS a total of 36,946 adults aged ≥65 years who underwent national health examinations from 2006 to 2008. METHODS follow-up was until 31 December 2015. Cox's proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for death and diabetic complications. RESULTS over a median follow-up of 8.2 years, 19.3% of older adults with prediabetes progressed to diabetes. Compared with normoglycaemic adults, the multivariable-adjusted HRs (95% CI) for major adverse cardiovascular events were 1.01 (0.95-1.07), 1.08 (0.95-1.23), 1.14 (1.05-1.23) and 1.50 (1.35-1.68) in adults with prediabetes, newly diagnosed diabetes, diabetes not on insulin and diabetes on insulin, respectively. The corresponding HRs (95% CI) for diabetic retinopathy risk were 1.28 (1.15-1.43), 3.16 (2.71-3.69), 6.58 (6.02-7.19) and 9.17 (8.21-10.24). Diabetic nephropathy risk also significantly increased. CONCLUSIONS progression from prediabetes to diabetes is an important concern among older adults. Prediabetes is associated with the risk of microvascular complications, but not cardiovascular complications and mortality. Therefore, active regular screening for prediabetes is necessary to prevent microvascular complications.
Collapse
Affiliation(s)
- Giwoong Choi
- Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hojun Yoon
- Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hyun Ho Choi
- Ajou University School of Medicine, Suwon, Republic of Korea
| | - Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
| |
Collapse
|