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Presseller EK, Velkoff EA, Riddle DR, Liu J, Zhang F, Juarascio AS. Using Continuous Glucose Monitoring to Passively Classify Naturalistic Binge Eating and Vomiting Among Adults With Binge-Spectrum Eating Disorders: A Preliminary Investigation. Int J Eat Disord 2024. [PMID: 39031922 DOI: 10.1002/eat.24266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/22/2024]
Abstract
OBJECTIVE Binge eating and self-induced vomiting are common, transdiagnostic eating disorder (ED) symptoms. Efforts to understand these behaviors in research and clinical settings have historically relied on self-report measures, which may be biased and have limited ecological validity. It may be possible to passively detect binge eating and vomiting using data collected by continuous glucose monitors (CGMs; minimally invasive sensors that measure blood glucose levels), as these behaviors yield characteristic glucose responses. METHOD This study developed machine learning classification algorithms to classify binge eating and vomiting among 22 adults with binge-spectrum EDs using CGM data. Participants wore Dexcom G6 CGMs and reported eating episodes and disordered eating symptoms using ecological momentary assessment for 2 weeks. Group-level random forest models were generated to distinguish binge eating from typical eating episodes and to classify instances of vomiting. RESULTS The binge eating model had accuracy of 0.88 (95% CI: 0.83, 0.92), sensitivity of 0.56, and specificity of 0.90. The vomiting model demonstrated accuracy of 0.79 (95% CI: 0.62, 0.91), sensitivity of 0.88, and specificity of 0.71. DISCUSSION Results suggest that CGM may be a promising avenue for passively classifying binge eating and vomiting, with implications for innovative research and clinical applications.
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Affiliation(s)
- Emily K Presseller
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Elizabeth A Velkoff
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Devyn R Riddle
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jianyi Liu
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
| | - Fengqing Zhang
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Adrienne S Juarascio
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
- Center for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, Pennsylvania, USA
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Schierbauer J, Sanfilippo S, Grothoff A, Fehr U, Wachsmuth N, Voit T, Zimmermann P, Moser O. Effect of Fluid Intake on Acute Changes in Plasma Volume: A Randomized Controlled Crossover Pilot Trial. Metabolites 2024; 14:263. [PMID: 38786740 PMCID: PMC11123201 DOI: 10.3390/metabo14050263] [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: 03/07/2024] [Revised: 04/09/2024] [Accepted: 05/05/2024] [Indexed: 05/25/2024] Open
Abstract
Plasma volume (PV) undergoes constant and dynamic changes, leading to a large intra-day variability in healthy individuals. Hydration is known to induce PV changes; however, the response to the intake of osmotically different fluids is still not fully understood. In a randomized controlled crossover trial, 18 healthy individuals (10 females) orally received an individual amount of an isotonic sodium-chloride (ISO), Ringer (RIN), or glucose (GLU) solution. Hemoglobin mass (Hbmass) was determined with the optimized carbon monoxide re-breathing method. Fluid-induced changes in PV were subsequently calculated based on capillary hemoglobin concentration ([Hb]) and hematocrit (Hct) before and then every 10 minutes until 120 min (t0-120) after the fluid intake and compared to a control trial arm (CON), where no fluid was administered. Within GLU and CON trial arms, no statistically significant differences from baseline until t120 were found (p > 0.05). In the ISO trial arm, PV was significantly increased at t70 (+138 mL, p = 0.01), t80 (+191 mL, p < 0.01), and t110 (+182 mL, p = 0.01) when compared to t0. Moreover, PV in the ISO trial arm was significantly higher at t70 (p = 0.02), t110 (p = 0.04), and t120 (p = 0.01) when compared to the same time points in the CON trial arm. Within the RIN trial arm, PV was significantly higher between t70 and t90 (+183 mL, p = 0.01) and between t110 (+194 mL, p = 0.03) and t120 (+186 mL, p < 0.01) when compared to t0. These results demonstrated that fluids with a higher content of osmotically active particles lead to acute hemodilution, which is associated with a decrease in [Hb] and Hct. These findings underpin the importance of the hydration state on PV and especially on PV constituent levels in healthy individuals.
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Affiliation(s)
- Janis Schierbauer
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Sabrina Sanfilippo
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Auguste Grothoff
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Ulrich Fehr
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Nadine Wachsmuth
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Thomas Voit
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Paul Zimmermann
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, Bayreuth Centre of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (S.S.); (A.G.); (U.F.); (N.W.); (T.V.); (P.Z.); (O.M.)
- Interdisciplinary Metabolic Medicine Trials Unit, Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria
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Herz D, Karl S, Weiß J, Zimmermann P, Haupt S, Zimmer RT, Schierbauer J, Wachsmuth NB, Erlmann MP, Niedrist T, Khoramipour K, Voit T, Rilstone S, Sourij H, Moser O. Effects of Different Types of Intermittent Fasting Interventions on Metabolic Health in Healthy Individuals (EDIF): A Randomised Trial with a Controlled-Run in Phase. Nutrients 2024; 16:1114. [PMID: 38674802 PMCID: PMC11054438 DOI: 10.3390/nu16081114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/03/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
The effects of intermittent fasting (IF) on health promotion in the healthy population remain controversial. Therefore, our study aimed to analyse the efficacy and feasibility of different IF protocols and evaluated the effects within a cohort with a controlled-run in phase on the body mass index (BMI) as the primary outcome, the body composition, and metabolic and haematological markers in healthy participants. A total of 25 individuals were randomised into three fasting groups: 16/8 fasting (n = 11), 20/4 fasting (n = 6), and alternate-day fasting (ADF, n = 8). Assessments were conducted at baseline (visit 1), after a four-week controlled-run in phase (visit 2), and after eight weeks of fasting (visit 3). Both the BMI (p = 0.01) and bodyweight (p = 0.01) were significantly reduced in the ADF group, which was not seen in the 16/8 and 20/4 groups (p > 0.05). Adherence was different but not statistically among the groups (16/8: 84.5 ± 23.0%; 20/4: 92.7 ± 9.5%; and ADF: 78.1 ± 33.5%, p = 0.57). Based on our obtained results, the data suggest that some fasting interventions might be promising for metabolic health. However, adherence to the specific fasting protocols remains challenging even for the healthy population.
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Affiliation(s)
- Daniel Herz
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Sebastian Karl
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Johannes Weiß
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Paul Zimmermann
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
- Department of Cardiology, Klinikum Bamberg, 96049 Bamberg, Germany
- Interdisciplinary Center of Sportsmedicine Bamberg, Klinikum Bamberg, 96049 Bamberg, Germany
| | - Sandra Haupt
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
- Faculty of Life Science—Food, Nutrition & Health, Chair of Molecular Exercise Physiology, University of Bayreuth, 95326 Kulmbach, Germany
| | - Rebecca Tanja Zimmer
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Janis Schierbauer
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Nadine Bianca Wachsmuth
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Maximilian Paul Erlmann
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Tobias Niedrist
- Clinical Institute for Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria;
| | - Kayvan Khoramipour
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman 76198-13159, Iran;
| | - Thomas Voit
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
| | - Sian Rilstone
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Research Group, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria;
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, BaySpo—Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (D.H.); (S.K.); (J.W.); (P.Z.); (S.H.); (R.T.Z.); (J.S.); (N.B.W.); (M.P.E.); (T.V.); (S.R.)
- Interdisciplinary Metabolic Medicine Research Group, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria;
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D’Souza NC, Kesibi D, Yeung C, Shakeri D, D’Souza AI, Macpherson AK, Riddell MC. The Impact of Sex, Body Mass Index, Age, Exercise Type and Exercise Duration on Interstitial Glucose Levels during Exercise. SENSORS (BASEL, SWITZERLAND) 2023; 23:9059. [PMID: 38005447 PMCID: PMC10674905 DOI: 10.3390/s23229059] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023]
Abstract
The impact of age, sex and body mass index on interstitial glucose levels as measured via continuous glucose monitoring (CGM) during exercise in the healthy population is largely unexplored. We conducted a multivariable generalized estimating equation (GEE) analysis on CGM data (Dexcom G6, 10 days) collected from 119 healthy exercising individuals using CGM with the following specified covariates: age; sex; BMI; exercise type and duration. Females had lower postexercise glycemia as compared with males (92 ± 18 vs. 100 ± 20 mg/dL, p = 0.04) and a greater change in glycemia during exercise from pre- to postexercise (p = 0.001) or from pre-exercise to glucose nadir during exercise (p = 0.009). Younger individuals (i.e., <20 yrs) had higher glucose during exercise as compared with all other age groups (all p < 0.05) and less CGM data in the hypoglycemic range (<70 mg/dL) as compared with those aged 20-39 yrs (p < 0.05). Those who were underweight, based on body mass index (BMI: <18.5 kg/m2), had higher pre-exercise glycemia than the healthy BMI group (104 ± 20 vs. 97 ± 17 mg/dL, p = 0.02) but similar glucose levels after exercise. Resistance exercise was associated with less of a drop in glycemia as compared with aerobic or mixed forms of exercise (p = 0.008) and resulted in a lower percent of time in the hypoglycemic (p = 0.04) or hyperglycemic (glucose > 140 mg/dL) (p = 0.03) ranges. In summary, various factors such as age, sex and exercise type appear to have subtle but potentially important influence on CGM measurements during exercise in healthy individuals.
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Affiliation(s)
- Ninoschka C. D’Souza
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
| | - Durmalouk Kesibi
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
| | - Christopher Yeung
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
| | - Dorsa Shakeri
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
| | | | - Alison K. Macpherson
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
| | - Michael C. Riddell
- School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada; (N.C.D.); (D.K.); (C.Y.); (D.S.); (A.K.M.)
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Jin Z, Thackray AE, King JA, Deighton K, Davies MJ, Stensel DJ. Analytical Performance of the Factory-Calibrated Flash Glucose Monitoring System FreeStyle Libre2 TM in Healthy Women. SENSORS (BASEL, SWITZERLAND) 2023; 23:7417. [PMID: 37687871 PMCID: PMC10490447 DOI: 10.3390/s23177417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023]
Abstract
Continuous glucose monitoring (CGM) is used clinically and for research purposes to capture glycaemic profiles. The accuracy of CGM among healthy populations has not been widely assessed. This study assessed agreement between glucose concentrations obtained from venous plasma and from CGM (FreeStyle Libre2TM, Abbott Diabetes Care, Witney, UK) in healthy women. Glucose concentrations were assessed after fasting and every 15 min after a standardized breakfast over a 4-h lab period. Accuracy of CGM was determined by Bland-Altman plot, 15/15% sensor agreement analysis, Clarke error grid analysis (EGA) and mean absolute relative difference (MARD). In all, 429 valid CGM readings with paired venous plasma glucose (VPG) values were obtained from 29 healthy women. Mean CGM readings were 1.14 mmol/L (95% CI: 0.97 to 1.30 mmol/L, p < 0.001) higher than VPG concentrations. Ratio 95% limits of agreement were from 0.68 to 2.20, and a proportional bias (slope: 0.22) was reported. Additionally, 45% of the CGM readings were within ±0.83 mmol/L (±15 mg/dL) or ±15% of VPG, while 85.3% were within EGA Zones A + B (clinically acceptable). MARD was 27.5% (95% CI: 20.8, 34.2%), with higher MARD values in the hypoglycaemia range and when VPG concentrations were falling. The FreeStyle Libre2TM CGM system tends to overestimate glucose concentrations compared to venous plasma samples in healthy women, especially during hypoglycaemia and during glycaemic swings.
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Affiliation(s)
- Zhuoxiu Jin
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK; (Z.J.); (A.E.T.); (J.A.K.)
| | - Alice E. Thackray
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK; (Z.J.); (A.E.T.); (J.A.K.)
- National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester National Health Service (NHS) Trust and the University of Leicester, Leicester LE1 5WW, UK;
| | - James A. King
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK; (Z.J.); (A.E.T.); (J.A.K.)
- National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester National Health Service (NHS) Trust and the University of Leicester, Leicester LE1 5WW, UK;
| | | | - Melanie J. Davies
- National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester National Health Service (NHS) Trust and the University of Leicester, Leicester LE1 5WW, UK;
- Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
| | - David J. Stensel
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK; (Z.J.); (A.E.T.); (J.A.K.)
- National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester National Health Service (NHS) Trust and the University of Leicester, Leicester LE1 5WW, UK;
- Faculty of Sport Sciences, Waseda University, Tokorozawa 359-1192, Japan
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong 999077, China
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Bauhaus H, Erdogan P, Braun H, Thevis M. Continuous Glucose Monitoring (CGM) in Sports-A Comparison between a CGM Device and Lab-Based Glucose Analyser under Resting and Exercising Conditions in Athletes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6440. [PMID: 37568982 PMCID: PMC10418731 DOI: 10.3390/ijerph20156440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/12/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023]
Abstract
The objective of this pilot study was to compare glucose concentrations in capillary blood (CB) samples analysed in a laboratory by a validated method and glucose concentrations measured in the interstitial fluid (ISF) by continuous glucose monitoring (CGM) under different physical activity levels in a postprandial state in healthy athletes without diabetes. As a physiological shift occurs between glucose concentration from the CB into the ISF, the applicability of CGM in sports, especially during exercise, as well as the comparability of CB and ISF data necessitate an in-depth assessment. Ten subjects (26 ± 4 years, 67 ± 11 kg bodyweight (BW), 11 ± 3 h) were included in the study. Within 14 days, they underwent six tests consisting of (a) two tests resting fasted (HC_Rest/Fast and LC_Rest/Fast), (b) two tests resting with intake of 1 g glucose/kg BW (HC_Rest/Glc and LC_Rest/Glc), (c) running for 60 min at moderate (ModExerc/Glc), and (d) high intensity after intake of 1 g glucose/kg BW (IntExerc/Glc). Data were collected in the morning, following a standardised dinner before test day. Sensor-based glucose concentrations were compared to those determined from capillary blood samples collected at the time of sensor-based analyses and subjected to laboratory glucose measurements. Pearson's r correlation coefficient was highest for Rest/Glc (0.92, p < 0.001) compared to Rest/Fast (0.45, p < 0.001), ModExerc/Glc (0.60, p < 0.001) and IntExerc/Glc (0.70, p < 0.001). Mean absolute relative deviation (MARD) and standard deviation (SD) was smallest for resting fasted and similar between all other conditions (Rest/Fast: 8 ± 6%, Rest/Glc: 17 ± 12%, ModExerc/Glc: 22 ± 24%, IntExerc/Glc: 18 ± 17%). However, Bland-Altman plot analysis showed a higher range between lower and upper limits of agreement (95% confidence interval) of paired data under exercising compared to resting conditions. Under resting fasted conditions, both methods produce similar outcomes. Under resting postprandial and exercising conditions, respectively, there are differences between both methods. Based on the results of this study, the application of CGM in healthy athletes is not recommended without concomitant nutritional or medical advice.
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Affiliation(s)
- Helen Bauhaus
- Institute of Biochemistry, German Sport University Cologne, 50933 Cologne, Germany
- German Research Centre of Elite Sports, German Sport University Cologne, 50933 Cologne, Germany;
| | - Pinar Erdogan
- Institute of Biochemistry, German Sport University Cologne, 50933 Cologne, Germany
- German Research Centre of Elite Sports, German Sport University Cologne, 50933 Cologne, Germany;
| | - Hans Braun
- German Research Centre of Elite Sports, German Sport University Cologne, 50933 Cologne, Germany;
- Manfred Donike Institute for Doping Analysis, 50933 Cologne, Germany
| | - Mario Thevis
- Institute of Biochemistry, German Sport University Cologne, 50933 Cologne, Germany
- German Research Centre of Elite Sports, German Sport University Cologne, 50933 Cologne, Germany;
- Manfred Donike Institute for Doping Analysis, 50933 Cologne, Germany
- Centre for Preventive Doping Research, German Sport University Cologne, 50933 Cologne, Germany
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7
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Liu DF, Zhang XY, Zhou RF, Cai L, Yan DM, Lan LJ, He SH, Tang H. Glucose metabolism continuous deteriorating in male patients with human immunodeficiency virus accepted antiretroviral therapy for 156 weeks. World J Diabetes 2023; 14:299-312. [PMID: 37035225 PMCID: PMC10075030 DOI: 10.4239/wjd.v14.i3.299] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 12/21/2022] [Accepted: 02/28/2023] [Indexed: 03/15/2023] Open
Abstract
BACKGROUND The dynamic characteristics of glucose metabolism and its risk factors in patients living with human immunodeficiency virus (PLWH) who accepted primary treatment with the efavirenz (EFV) plus lamivudine (3TC) plus tenofovir (TDF) (EFV + 3TC + TDF) regimen are unclear and warrant investigation.
AIM To study the long-term dynamic characteristics of glucose metabolism and its contributing factors in male PLWH who accepted primary treatment with the EFV + 3TC + TDF regimen for 156 wk.
METHODS This study was designed using a follow-up design. Sixty-one male treatment-naive PLWH, including 50 cases with normal glucose tolerance and 11 cases with prediabetes, were treated with the EFV + 3TC + TDF regimen for 156 wk. The glucose metabolism dynamic characteristics, the main risk factors and the differences among the three CD4+ count groups were analyzed.
RESULTS In treatment-naive male PLWH, regardless of whether glucose metabolism disorder was present at baseline, who accepted treatment with the EFV + 3TC + TDF regimen for 156 wk, a continuous increase in the fasting plasma glucose (FPG) level, the rate of impaired fasting glucose (IFG) and the glycosylated hemoglobin (HbA1c) level were found. These changes were not due to insulin resistance but rather to significantly reduced islet β cell function, according to the homeostasis model assessment of β cell function (HOMA-β). Moreover, the lower the baseline CD4+ T-cell count was, the higher the FPG level and the lower the HOMA-β value. Furthermore, the main risk factors for the FPG levels were the CD3+CD8+ cell count and viral load (VL), and the factors contributing to the HOMA-β values were the alanine aminotransferase level, VL and CD3+CD8+ cell count.
CONCLUSION These findings provide guidance to clinicians who are monitoring FPG levels closely and are concerned about IFG and decreased islet β cell function during antiretroviral therapy with the EFV + 3TC + TDF regimen for long-term application.
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Affiliation(s)
- Da-Feng Liu
- Department of Internal Medicine, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Xin-Yi Zhang
- Department of Endocrinology and Metabolism, Sichuan University West China Hoapital, Chengdu 610041, Sichuan Province, China
| | - Rui-Feng Zhou
- Department of Infectious Disease, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Lin Cai
- Department of Infectious Disease, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Dong-Mei Yan
- Department of Infectious Disease, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Li-Juan Lan
- Department of Internal Medicine, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Sheng-Hua He
- Department of Infectious Disease, Public Health and Clinical Center of Chengdu, Chengdu 610061, Sichuan Province, China
| | - Hong Tang
- Center of Infectious Disease, Sichuan University West China Hoapital, Chengdu 610041, Sichuan Province, China
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Ahmed S, Naga Srinivasu P, Alhumam A, Alarfaj M. AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients. Diagnostics (Basel) 2022; 12:2739. [PMID: 36359582 PMCID: PMC9689636 DOI: 10.3390/diagnostics12112739] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 10/28/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2023] Open
Abstract
Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solutions that can help to optimize the environment for senior citizens with assistance while greatly reducing their challenges. A framework based on the Internet of Medical Things (IoMT) is used in the current study for the implementation of AAL technology to help patients with Type-2 diabetes. A glucose oxide sensor is used to monitor diabetic elderly people continuously. Spectrogram images are created from the recorded data from the sensor to assess and detect aberrant glucose levels. DenseNet-169 examines and analyzes the spectrogram pictures, and messages are sent to caregivers when aberrant glucose levels are detected. The current work describes both the spectrogram image analysis and the signal-to-spectrogram generating method. The study presents a future perspective model for a mobile application for real-time patient monitoring. Benchmark metrics evaluate the application's performances, including sensitivity, specificity, accuracy, and F1-score. Several cross--validations are used to evaluate the model's performance. The findings demonstrate that the proposed model can correctly identify patients with abnormal blood glucose levels.
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Affiliation(s)
- Shakeel Ahmed
- Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
| | - Parvathaneni Naga Srinivasu
- Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada 520007, India
| | - Abdulaziz Alhumam
- Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
| | - Mohammed Alarfaj
- Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
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