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Varghese JS, Peterson EN, Ali MK, Tandon N. Advancing diabetes surveillance ecosystems: a case study of India. Lancet Diabetes Endocrinol 2024; 12:493-502. [PMID: 38815594 DOI: 10.1016/s2213-8587(24)00124-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/27/2024] [Accepted: 04/23/2024] [Indexed: 06/01/2024]
Abstract
Professional society and expert guidelines recommend the achievement of glycaemic, blood pressure, and cholesterol targets to prevent the microvascular and macrovascular complications of diabetes. The WHO Diabetes Compact recommends that countries meet and monitor these targets for diabetes management. Surveillance-ie, continuous, systematic measurement, analysis, and interpretation of data-is a crucial component of public health. In this Personal View, we use the case of India as an illustration of the challenges and future directions needed for a diabetes surveillance system that documents national progress and persistent gaps. To address the growing burdens of diabetes and cardiometabolic diseases, the Government of India has launched programmes such as the National Programme for Prevention and Control of Non-Communicable Diseases. Different surveys have provided estimates of the diabetes care continuum of awareness, treatment, and control at the national, state, and, very recently, district level. We reviewed the literature to analyse how these surveys have varied in both their data collection methods and the reported estimates of the diabetes care continuum. We propose an integrated surveillance and monitoring framework to augment decentralised decision making, leveraging the complementary strengths of different surveys and electronic health record databases, such as data obtained by the National Programme for Prevention and Control of Non-Communicable Diseases, and building on methodological advances in model-based small-area estimation and data fusion. Such a framework could aid state and district administrators in monitoring the progress of diabetes screening and management initiatives, and benchmarking against national and global standards in all countries.
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Affiliation(s)
- Jithin Sam Varghese
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Emily N Peterson
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Mohammed K Ali
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Zaman A, Grau L, Jeffers R, Steinke S, Catenacci VA, Cornier M, Rynders CA, Thomas EA. The effects of early time restricted eating plus daily caloric restriction compared to daily caloric restriction alone on continuous glucose levels. Obes Sci Pract 2024; 10:e702. [PMID: 38264001 PMCID: PMC10804344 DOI: 10.1002/osp4.702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/14/2023] [Accepted: 07/18/2023] [Indexed: 01/25/2024] Open
Abstract
Background The median eating duration in the U.S. is 14.75 h, spread throughout the period of wakefulness and ending before sleep. Food intake at an inappropriate circadian time may lead to adverse metabolic outcomes. Emerging literature suggests that time restricted eating (TRE) may improve glucose tolerance and insulin sensitivity. The aim was to compare 24-h glucose profiles and insulin sensitivity in participants after completing 12 weeks of a behavioral weight loss intervention based on early TRE plus daily caloric restriction (E-TRE+DCR) or DCR alone. Methods Eighty-one adults with overweight or obesity (age 18-50 years, BMI 25-45 kg/m2) were randomized to either E-TRE+DCR or DCR alone. Each participant wore a continuous glucose monitor (CGM) for 7 days and insulin sensitivity was estimated using the homeostatic model assessment of insulin resistance (HOMA-IR) at Baseline and Week 12. Changes in CGM-derived measures and HOMA-IR from Baseline to Week 12 were assessed within and between groups using random intercept mixed models. Results Forty-four participants had valid CGM data at both time points, while 38 had valid glucose, insulin, HOMA-IR, and hemoglobin A1c (A1c) data at both timepoints. There were no significant differences in sex, age, BMI, or the percentage of participants with prediabetes between the groups (28% female, age 39.2 ± 6.9 years, BMI 33.8 ± 5.7 kg/m2, 16% with prediabetes). After adjusting for weight, there were no between-group differences in changes in overall average sensor glucose, standard deviation of glucose levels, the coefficient of variation of glucose levels, daytime or nighttime average sensor glucose, fasting glucose, insulin, HOMA-IR, or A1c. However, mean amplitude of glycemic excursions changed differently over time between the two groups, with a greater reduction found in the DCR as compared to E-TRE+DCR (p = 0.03). Conclusion There were no major differences between E-TRE+DCR and DCR groups in continuous glucose profiles or insulin sensitivity 12 weeks after the intervention. Because the study sample included participants with normal baseline mean glucose profiles and insulin sensitivity, the ability to detect changes in these outcomes may have been limited.
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Affiliation(s)
- Adnin Zaman
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Laura Grau
- Department of Biostatistics and InformaticsColorado School of Public HealthUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Rebecca Jeffers
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Sheila Steinke
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Marc‐Andre Cornier
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Division of Endocrinology, Diabetes and Metabolic DiseasesDepartment of MedicineMedical University of South CarolinaCharlestonSouth CarolinaUSA
- Rocky Mountain Regional Veterans AdministrationAuroraColoradoUSA
| | - Corey A. Rynders
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
| | - Elizabeth A. Thomas
- Division of Endocrinology, Metabolism and DiabetesDepartment of MedicineUniversity of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Anschutz Health & Wellness Center at the University of ColoradoAnschutz Medical CampusAuroraColoradoUSA
- Rocky Mountain Regional Veterans AdministrationAuroraColoradoUSA
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Liu X, Zhou X, Li X, Wei Y, Wang T, Liu S, Yang H, Sun X. Saliva Analysis Based on Microfluidics: Focusing the Wide Spectrum of Target Analyte. Crit Rev Anal Chem 2023:1-23. [PMID: 38039145 DOI: 10.1080/10408347.2023.2287656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2023]
Abstract
Saliva is one of the most critical human body fluids that can reflect the state of the human body. The detection of saliva is of great significance for disease diagnosis and health monitoring. Microfluidics, characterized by microscale size and high integration, is an ideal platform for the development of rapid and low-cost disease diagnostic techniques and devices. Microfluidic-based saliva testing methods have aroused considerable interest due to the increasing need for noninvasive testing and frequent or long-term testing. This review briefly described the significance of saliva analysis and generally classified the targets in saliva detection into pathogenic microorganisms, inorganic substances, and organic substances. By using this classification as a benchmark, the state-of-the-art research results on microfluidic detection of various substances in saliva were summarized. This work also put forward the challenges and future development directions of microfluidic detection methods for saliva.
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Affiliation(s)
- Xin Liu
- Department of Respiratory Medicine, The Fourth Hospital of China Medical University, Shenyang, China
| | - Xinyue Zhou
- Department of Respiratory Medicine, The Fourth Hospital of China Medical University, Shenyang, China
| | - Xiaojia Li
- Teaching Center for Basic Medical Experiment, China Medical University, Shenyang, China
| | - Yixuan Wei
- Teaching Center for Basic Medical Experiment, China Medical University, Shenyang, China
| | - Tianlin Wang
- School of Intelligent Medicine, China Medical University, Shenyang, China
| | - Shuo Liu
- Department of Respiratory Medicine, The Fourth Hospital of China Medical University, Shenyang, China
| | - Huazhe Yang
- School of Intelligent Medicine, China Medical University, Shenyang, China
| | - Xiaoting Sun
- School of Forensic Medicine, China Medical University, Shenyang, China
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Varghese JS, Anjana RM, Geldsetzer P, Sudharsanan N, Manne-Goehler J, Thirumurthy H, Bhattacharyya S, Narayan KMV, Mohan V, Tandon N, Ali MK. National Estimates of the Adult Diabetes Care Continuum in India, 2019-2021. JAMA Intern Med 2023; 183:2807945. [PMID: 37523192 PMCID: PMC10391358 DOI: 10.1001/jamainternmed.2023.3070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/19/2023] [Indexed: 08/01/2023]
Abstract
Importance Diabetes is widespread and treatable, but little is known about the diabetes care continuum (diagnosis, treatment, and control) in India and how it varies at the national, state, and district levels. Objective To estimate the adult population levels of diabetes diagnosis, treatment, and control in India at national, state, and district levels and by sociodemographic characteristics. Design, Setting, and Participants In this cross-sectional, nationally representative survey study from 2019 to 2021, adults in India from 28 states, 8 union territories, and 707 districts were surveyed for India's Fifth National Family Health Survey (NFHS-5). The survey team collected data on blood glucose among all adults (18-98 years) who were living in the same household as eligible participants (pregnant or nonpregnant female individuals aged 15-49 years and male individuals aged 15-54 years). The overall sample consisted of 1 895 287 adults. The analytic sample was restricted to those who either self-reported having diabetes or who had a valid measurement of blood glucose. Exposures The exposures in this survey study were district and state residence; urban vs rural residence; age (18-39 years, 40-64 years, or ≥65 years); sex; and household wealth quintile. Main Outcomes and Measures Diabetes was defined by self-report or high capillary blood glucose (fasting: ≥126 mg/dL [to convert to mmol/L, multiply by 0.0555]; nonfasting: ≥220 mg/dL). Among respondents who had previously been diagnosed with diabetes, the main outcome was the proportion treated based on self-reported medication use and the proportion controlled (fasting: blood glucose <126 mg/dL; nonfasting: ≤180 mg/dL). The findings were benchmarked against the World Health Organization (WHO) Global Diabetes Compact targets (80% diagnosis; 80% control among those diagnosed). The variance in indicators between and within states was partitioned using variance partition coefficients (VPCs). Results Among 1 651 176 adult respondents (mean [SD] age, 41.6 [16.4] years; 867 896 [52.6%] female) with blood glucose measures, the proportion of individuals with diabetes was 6.5% (95% CI, 6.4%-6.6%). Among adults with diabetes, 74.2% (95% CI, 73.3%-75.0%) were diagnosed. Among those diagnosed, 59.4% (95% CI, 58.1%-60.6%) reported taking medication, and 65.5% (95% CI, 64.5%-66.4%) achieved control. Diagnosis and treatment were higher in urban areas, older age groups, and wealthier households. Among those diagnosed in the 707 districts surveyed, 246 (34.8%) districts met the WHO diagnosis target, while 76 (10.7%) districts met the WHO control target. Most of the variability in diabetes diagnosis (VPC, 89.1%), treatment (VPC, 85.9%), and control (VPC, 95.6%) were within states, not between states. Conclusions and Relevance In this survey study, the diabetes care continuum in India is represented by considerable district-level variation, age-related disparities, and rural-urban differences. Surveillance at the district level can guide state health administrators to prioritize interventions and monitor achievement of global targets.
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Affiliation(s)
- Jithin Sam Varghese
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California
- Chan Zuckerberg Biohub−San Francisco, San Francisco, California
| | - Nikkil Sudharsanan
- Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Jennifer Manne-Goehler
- Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Harsha Thirumurthy
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - K. M. Venkat Narayan
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
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Abstract
AIMS Overt diabetes in pregnancy is defined as hyperglycemia first recognized during pregnancy which meets the diagnostic threshold of diabetes in non-pregnant adults. This case-based narrative review aims to describe this unique condition and discuss the potential implications for its accurate diagnosis and management. METHODS AND RESULTS We conducted a literature search in PubMed for relevant articles published in English language up to January 2022. Women with overt diabetes have a higher risk for adverse pregnancy outcomes and postpartum diabetes, compared to their counterparts with gestational diabetes mellitus (GDM). Such women often need aggressive management, including early and prompt initiation of insulin therapy, and a close follow-up during pregnancy and in the postpartum period. Not all pregnant women with overt diabetes have persistent diabetes in the postpartum period. Early diagnosis, especially during the first trimester, and fasting plasma glucose elevation (≥ 126 mg/dl or 7 mmol/L) at the time of initial diagnosis are predictors of postpartum diabetes. CONCLUSIONS Both GDM and overt diabetes in pregnancy are hyperglycemic conditions first recognized during pregnancy, but the two conditions differ in severity; the latter is a more severe form of hyperglycemia associated with worse maternal and fetal outcomes, and a higher risk of postpartum diabetes.
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Affiliation(s)
- Alpesh Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Czupryniak L, Dzida G, Fichna P, Jarosz-Chobot P, Gumprecht J, Klupa T, Mysliwiec M, Szadkowska A, Bomba-Opon D, Czajkowski K, Malecki MT, Zozulinska-Ziolkiewicz DA. Ambulatory Glucose Profile (AGP) Report in Daily Care of Patients with Diabetes: Practical Tips and Recommendations. Diabetes Ther 2022; 13:811-821. [PMID: 35278195 PMCID: PMC8991298 DOI: 10.1007/s13300-022-01229-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/08/2022] [Indexed: 12/01/2022] Open
Abstract
The ambulatory glucose profile (AGP) is now established as the standardised, practical one-page report for graphically presenting a summary of glycaemic control status in patients with diabetes who use continuous glucose monitoring (CGM) systems as part of their daily diabetes care. The AGP report provides both a visual and a statistical summary of the glucose metrics that, as agreed in the 2019 international consensus for assessing glycaemic control, should be analysed in all people with diabetes who are using CGM systems. The AGP report can be analysed in a systematic fashion to understand current glycaemic control and to monitor, in real time, the impact of adjustments to therapy in both type 1 diabetes and type 2 diabetes. Here we provide a practical guide to the glycaemic measures that are summarised in the AGP Report and illustrate the essential components of an AGP review in a series of hypothetical, real-world, patient-centred case studies (see Supplementary Materials).
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Affiliation(s)
- Leszek Czupryniak
- Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Dzida
- Department of Internal Diseases, Medical University of Lublin, Lublin, Poland
| | - Piotr Fichna
- Department of Pediatric Diabetes, Auxology and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Malgorzata Mysliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Dorota Bomba-Opon
- 1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Czajkowski
- 2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Maciej T Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
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Goyal A, Mathew UE, Golla KK, Mannar V, Kubihal S, Gupta Y, Tandon N. A practical guidance on the use of intravenous insulin infusion for management of inpatient hyperglycemia: Intravenous Insulin Infusion for Management of Inpatient Hyperglycemia. Diabetes Metab Syndr 2021; 15:102244. [PMID: 34425556 DOI: 10.1016/j.dsx.2021.102244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/05/2021] [Accepted: 08/07/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND We aim to provide a practical guidance on the use of intravenous insulin infusion for managing inpatient hyperglycemia. METHODS AND RESULTS This document was formulated based on the review of available literature and personal experience of authors. We have used various case scenarios to illustrate variables which should be taken into account when deciding adjustments in infusion rate, including but not restricted to ambient blood glucose level and magnitude of blood glucose change in the previous hour. CONCLUSION The guidance can be generalized to any situation where dedicated protocols are lacking, trained manpower is not available and resource constraints are present.
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Affiliation(s)
- Alpesh Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Uthara Elsa Mathew
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Kiran Kumar Golla
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Velmurugan Mannar
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Suraj Kubihal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Murray-Bachmann R, Leung TM, Myers AK, Murthi S, Sarbanes M, Ziskovich K, Lesser M, Poretsky L. Reliability of continuous glucose monitoring system in the inpatient setting. JOURNAL OF CLINICAL AND TRANSLATIONAL ENDOCRINOLOGY 2021; 25:100262. [PMID: 34336598 PMCID: PMC8318984 DOI: 10.1016/j.jcte.2021.100262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 06/09/2021] [Accepted: 07/04/2021] [Indexed: 01/18/2023]
Abstract
Aims/Hypothesis Hyperglycemia and hypoglycemia are associated with increased morbidity and mortality in the inpatient setting. Standard point of care capillary glucose testing (POCT) is commonly used in hospitalized patients to monitor their glucose levels. The goal of this study was to examine the relationships between the glucose readings obtained by a continuous glucose monitoring system (CGMS) (Freestyle Libre) and the capillary blood glucose results obtained by the inpatient glucose POCT meter (Accuchek Inform II) as well as between CGMS readings and the serum glucose values obtained by the hospital laboratory. Study participants had either primary or secondary diagnosis of diabetes mellitus and were admitted to non-critical units. We hypothesized that there exists an acceptable agreement between the capillary blood glucose results obtained by the inpatient glucose POCT meter (Accuchek Inform II) and the readings obtained by the CGMS (Freestyle Libre); and that there exists an acceptable agreement between the serum glucose levels and the glucose values obtained by the CGMS. Methods This was an Institutional Review Board approved prospective cohort study for the non– critical inpatient setting. Fifty-two hospitalized patients with diabetes were recruited. After informed consent was obtained, patients were instructed on the application and use of the CGMS. The data were assessed using a standard regression analysis and modified Bland Altman analysis. All analyses were conducted using SAS, release 3.8 Enterprise Edition (SAS Institute Inc., Cary, NC). Results Fifty-two subjects recruited into the study represented a sample of convenience. There were a total of 467 AccuChek-Libre pairs, The regression analysis showed a negative bias between. Libre and AccuChek, R2 = 0.83, with Libre glucose readings on average being lower than those of AccuChek. Using Bland-Altman analysis, 42% of the 467 Libre-AccuChek pairs had a difference in glucose reading more than 15%. Mean absolute relative difference (MARD) between Libre and AccuChek was 15.6%; mean relative difference (MRD) between Libre and AccuChek was −11.4%. The regression analysis showed a negative bias between Libre and serum glucose, R2 = 0.89. Using Bland Altman analysis, 36% of the 44 Libre-serum pairs had a difference in glucose reading more than 15%. Mean absolute relative difference (MARD) between Libre and serum glucose was 13.2%; mean relative difference (MRD) between Libre and serum glucose was −12.5%. A review of the data pairs showed that 71/467 Accuchek-Libre pairs had one result that was either below 70 mg/dl or above 200 mg/dl (combined American Diabetes Association-ADA-, American College of Physicians-ACP- and American College of Endocrinology-AACE- goals). Thus 85%, of these pairs would have yielded results that engendered the same intervention (e.g. treatment for hypoglycemia or hyperglycemia). Likewise 5/45 Serum-Libre pairs had one result that was either below 70 mg/dl or above 200 mg/dl; thus 89% of these pairs would have yielded results requiring the same intervention. Conclusion/Interpretation These findings confirm the existent literature and indicate acceptable agreement between the standard POCT and the CGMS as well as between serum glucose and the CGMS values. Because of the advantages of the CGMS over capillary blood glucose testing (reduced patient discomfort and reduced staff exposure to patients in isolation) CGMS use may be preferable to the current bedside capillary blood glucose testing in hospitalized patients with diabetes mellitus. As with other laboratory measures, clinical judgement needs to be exercised when the laboratory values are used to guide patient care.
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Affiliation(s)
| | - Tung Ming Leung
- Biostatistics Unit - Feinstein Institutes for Medical Research, Northwell Health, Great Neck, New York, USA
| | - Alyson K Myers
- Department of Medicine, Division of Endocrinology, North Shore University Hospital, Manhasset, New York, USA.,Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA.,Center for Health Innovations and Outcomes Research, Northwell Health, Manhasset, New York, USA
| | - Swetha Murthi
- Division of Endocrinology, Friedman Diabetes Institute Department of Medicine, Lenox Hill Hospital, Northwell Health, New York, New York, USA
| | - Mulugeta Sarbanes
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
| | - Karina Ziskovich
- Division of Endocrinology, Friedman Diabetes Institute Department of Medicine, Lenox Hill Hospital, Northwell Health, New York, New York, USA
| | - Martin Lesser
- Biostatistics Unit - Feinstein Institutes for Medical Research, Northwell Health, Great Neck, New York, USA
| | - Leonid Poretsky
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA.,Division of Endocrinology, Friedman Diabetes Institute Department of Medicine, Lenox Hill Hospital, Northwell Health, New York, New York, USA
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