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1مؤتمر
المؤلفون: Idi, Elena, Manzoni, Eleonora, Sparacino, Giovanni, Del Favero, Simone
المساهمون: Idi, Elena, Manzoni, Eleonora, Sparacino, Giovanni, Del Favero, Simone
مصطلحات موضوعية: Blood Glucose, Glucose, Human, Retrospective Studie, Artifact, Blood Glucose Self-Monitoring
الوصف: Continuous Glucose Monitoring (CGM) sensors micro-invasively provide frequent glucose readings, improving the management of Type 1 diabetic patients' life and making available reach data-sets for retrospective analysis. Unlikely, CGM sensors are subject to failures, such as compression artifacts, that might impact on both real-time and respective CGM use. In this work is focused on retrospective detection of compression artifacts. An in-silico dataset is generated using the T1D UVa/Padova simulator and compression artifacts are subsequently added in known position, thus creating a dataset with perfectly accurate faulty/not-faulty labels. The problem of compression artifact detection is then faced with supervised data-driven techniques, in particular using Random Forest algorithm. The detection performance guaranteed by the method on in-silico data is satisfactory, opening the way for further analysis on real-data.
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-2782-8; info:eu-repo/semantics/altIdentifier/pmid/36085641; ispartofbook:Proceeding of the 44st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022; 44st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2022; volume:2022; firstpage:1145; lastpage:1148; numberofpages:4; serie:ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY; http://hdl.handle.net/11577/3456171Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85138127333
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2
المؤلفون: Camerlingo, Nunzio, Vettoretti, Martina, Del Favero, Simone, Facchinetti, Andrea, Choudhary, Pratik, Sparacino, Giovanni
المصدر: Computer Methods and Programs in Biomedicine
مصطلحات موضوعية: Adult, Blood Glucose, Blood Glucose Self-Monitoring, Decision Trees, Insulin bolus, Health Informatics, LASSO, Computer Science Applications, Diabetes Mellitus, Type 1, Insulin Infusion Systems, Type 1 diabetes, Machine learning, Decision tree, In-silico clinical trial, Humans, Hypoglycemic Agents, Insulin, Software
الوصف: Background and objective In type 1 diabetes (T1D) research, in-silico clinical trials (ISCTs) notably facilitate the design/testing of new therapies. Published simulation tools embed mathematical models of blood glucose (BG) and insulin dynamics, continuous glucose monitoring (CGM) sensors, and insulin treatments, but lack a realistic description of some aspects of patient lifestyle impacting on glucose control. Specifically, to effectively simulate insulin correction boluses, required to treat post-meal hyperglycemia (BG>180 mg/dL), the timing of the bolus may be influenced by subjects’ behavioral attitudes. In this work, we develop an easily interpretable model of the variability of correction bolus timing observed in real data, and embed it into a popular simulation tool for ISCTs. Methods Using data collected in 196 adults with T1D monitored in free-living conditions, we trained a decision tree (DT) model to classify whether a correction bolus is injected in a future time window, based on predictors collected back in time, related to CGM data, previous insulin boluses and subject's characteristics. The performance was compared to that of a logistic regression classifier with LASSO regularization (LC), trained on the same dataset. After validation, the DT was embedded within a popular T1D simulation tool and an ISCT was performed to compare the simulated correction boluses against those observed in a subset of data not used for model training. Results The DT provided better classification performance (accuracy: 0.792, sensitivity: 0.430, specificity: 0.878, precision: 0.455) than the LC and presented good interpretability. The most predictive features were related to CGM (and its temporal variations), time since the last insulin bolus, and time of the day. The correction boluses simulated by the DT, after implementation in the simulation tool, showed a good agreement with real-world data. Conclusions The DT developed in this work represents a simple set of rules to mimic the same timing of correction boluses observed on real data. The inclusion of the model in simulation tools allows investigators to perform ISCTs that more realistically represent the patient behavior in taking correction boluses and the post-prandial BG response. In the future, more complex models can be investigated.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae1ad5b5277adc251174dea5cbed5ebTest
https://zenodo.org/record/6559877Test -
3دورية أكاديمية
المؤلفون: Luijf, Yoeri M, DeVries, J Hans, Zwinderman, Koos, Leelarathna, Lalantha, Nodale, Marianna, Caldwell, Karen, Kumareswaran, Kavita, Elleri, Daniela, Allen, Janet M, Wilinska, Malgorzata E, Evans, Mark L, Hovorka, Roman, Doll, Werner, Ellmerer, Martin, Mader, Julia K, Renard, Eric, Place, Jerome, Farret, Anne, Cobelli, Claudio, Del Favero, Simone, Dalla Man, Chiara, Avogaro, Angelo, Bruttomesso, Daniela, Filippi, Alessio, Scotton, Rachele, Magni, Lalo, Lanzola, Giordano, Di Palma, Federico, Soru, Paola, Toffanin, Chiara, De Nicolao, Giuseppe, Arnolds, Sabine, Benesch, Carsten, Heinemann, Lutz, AP@home Consortium
مصطلحات موضوعية: Administration, Cutaneous, Adult, Algorithms, Blood Glucose, Blood Glucose Self-Monitoring, Cross-Over Studies, Diabetes Mellitus, Type 1, Equipment Design, Female, Follow-Up Studies, Humans, Hypoglycemic Agents, Infusion Pumps, Insulin, Insulin Infusion Systems, Male, Self Care, Treatment Outcome
الوصف: OBJECTIVE: To compare two validated closed-loop (CL) algorithms versus patient self-control with CSII in terms of glycemic control. RESEARCH DESIGN AND METHODS: This study was a multicenter, randomized, three-way crossover, open-label trial in 48 patients with type 1 diabetes mellitus for at least 6 months, treated with continuous subcutaneous insulin infusion. Blood glucose was controlled for 23 h by the algorithm of the Universities of Pavia and Padova with a Safety Supervision Module developed at the Universities of Virginia and California at Santa Barbara (international artificial pancreas [iAP]), by the algorithm of University of Cambridge (CAM), or by patients themselves in open loop (OL) during three hospital admissions including meals and exercise. The main analysis was on an intention-to-treat basis. Main outcome measures included time spent in target (glucose levels between 3.9 and 8.0 mmol/L or between 3.9 and 10.0 mmol/L after meals). RESULTS: Time spent in the target range was similar in CL and OL: 62.6% for OL, 59.2% for iAP, and 58.3% for CAM. While mean glucose level was significantly lower in OL (7.19, 8.15, and 8.26 mmol/L, respectively) (overall P = 0.001), percentage of time spent in hypoglycemia (<3.9 mmol/L) was almost threefold reduced during CL (6.4%, 2.1%, and 2.0%) (overall P = 0.001) with less time ≤2.8 mmol/L (overall P = 0.038). There were no significant differences in outcomes between algorithms. CONCLUSIONS: Both CAM and iAP algorithms provide safe glycemic control.
وصف الملف: Print-Electronic; application/pdf
الإتاحة: https://doi.org/10.17863/CAM.49293Test
https://www.repository.cam.ac.uk/handle/1810/302219Test -
4دورية أكاديمية
المؤلفون: Faccioli, Simone, Del Favero, Simone, Visentin, Roberto, Bonfanti, Riccardo, Iafusco, Dario, Rabbone, Ivana, Marigliano, Marco, Schiaffini, Riccardo, Bruttomesso, Daniela, Cobelli, Claudio
المساهمون: Faccioli, Simone, Del Favero, Simone, Visentin, Roberto, Bonfanti, Riccardo, Iafusco, Dario, Rabbone, Ivana, Marigliano, Marco, Schiaffini, Riccardo, Bruttomesso, Daniela, Cobelli, Claudio
مصطلحات موضوعية: accuracy evaluation, continuous glucose monitoring, insertion sites, pediatric, type 1 diabetes, Abdomen, Algorithms, Analysis of Variance, Arm, Biomarkers, Blood Glucose, Blood Glucose Self-Monitoring, Buttocks, Child, Preschool, Diabetes Mellitus, Type 1, Equipment Design, Female, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Monitoring, Ambulatory, Predictive Value of Tests, Reproducibility of Results, Signal Processing, Computer-Assisted
الوصف: BACKGROUND: Patients with diabetes, especially pediatric ones, sometimes use continuous glucose monitoring (CGM) sensor in different positions from the approved ones. Here we compare the accuracy of Dexcom G5 CGM sensor in three different sites: abdomen, gluteus (both approved) and arm (off-label).METHOD: Thirty youths, 5-9 years old, with type 1 diabetes (T1D) wore the sensor during a clinical trial where frequent self-monitoring of blood glucose (SMBG) measurements were obtained. Sensor was inserted in different sites according to the patient habit. Accuracy metrics include absolute relative difference (ARD) and absolute difference (AD) of CGM with respect to SMBG. The three sites were compared with ANOVA. If the test detected a difference, an additional pair-wise comparison was performed.RESULTS: Overall, no accuracy difference was detected: the mean ARD was 13.3% (SD = 13.5%) for abdomen, 13.4% (12.9%) for arm and 12.9% (20.2%) for gluteus ( P value = .83); the mean AD was 17.0 mg/dl (17.2 mg/dl) for abdomen, 17.2 mg/dl (17.1 mg/dl) for arm and 18.3 mg/dl (18.5 mg/dl) for gluteus ( P value = .30). In hypo- and euglycemia ARD ( P value = .87 and .15, respectively), and AD ( P value = .68 and .37, respectively) were not statistically different. At variance, in hyperglycemia, a significant difference was detected between the two approved sites, abdomen and gluteus (DeltaARD = -2.2% [CI = -4.2%, -0.1%], P value = .04), whereas the comparisons with the off-label location, arm-abdomen, and arm-gluteus were not significant.CONCLUSIONS: These results suggest that the accuracy of the sensor placed on the arm was not significantly different with respect to the two approved insertion sites (abdomen and gluteus). Larger, randomized trials are needed to draw final conclusions.
وصف الملف: ELETTRONICO
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/28486841; info:eu-repo/semantics/altIdentifier/wos/MEDLINE:28486841; volume:11; issue:6; firstpage:1147; lastpage:1154; numberofpages:8; journal:JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY; http://hdl.handle.net/11562/1029715Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85032827007
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5دورية أكاديمية
المؤلفون: Kropff, J., DeJong, J., DEL FAVERO, SIMONE, Place, J., Messori, M., Coestier, B., Farret, A., Boscari, F., Galasso, S., Avogaro, A., Bruttomesso, D., Cobelli, C., Renard, E., Magni, L., DeVries, J. H.
المساهمون: Kropff, J., Dejong, J., DEL FAVERO, Simone, Place, J., Messori, M., Coestier, B., Farret, A., Boscari, F., Galasso, S., Avogaro, A., Bruttomesso, D., Cobelli, C., Renard, E., Magni, L., Devries, J. H.
مصطلحات موضوعية: Adult, Blood Glucose, Cross-Over Studie, Diabetes Mellitus, Type 1, Fear, Female, Human, Hypoglycemia, Hypoglycemic Agent, Insulin, Male, Middle Aged, Surveys and Questionnaire, Insulin Infusion System, Pancreas, Artificial, Patient Satisfaction, Internal Medicine, Endocrinology, Diabetes and Metabolism
وصف الملف: STAMPA
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/27696520; info:eu-repo/semantics/altIdentifier/wos/WOS:000394136800017; volume:34; issue:2; firstpage:262; lastpage:271; numberofpages:10; journal:DIABETIC MEDICINE; http://hdl.handle.net/11571/1212368Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84996553655; http://www3.interscience.wiley.com/journal/119818374/grouphome/home.htmlTest
الإتاحة: https://doi.org/10.1111/dme.13268Test
http://hdl.handle.net/11571/1212368Test
http://www3.interscience.wiley.com/journal/119818374/grouphome/home.htmlTest -
6دورية أكاديمية
المؤلفون: Brown, Sue A., Breton, Marc D., Anderson, Stacey M., Kollar, Laura, Keith-Hynes, Patrick, Levy, Carol J., Lam, David W., Levister, Camilla, Baysal, Nihat, Kudva, Yogish C., Basu, Ananda, Dadlani, Vikash, Hinshaw, Ling, McCrady-Spitzer, Shelly, Bruttomesso, Daniela, Visentin, Roberto, Galasso, Silvia, Del Favero, Simone, Leal, Yenny, Boscari, Federico, Avogaro, Angelo, Cobelli, Claudio, Kovatchev, Boris P.
المساهمون: Brown, Sue A., Breton, Marc D., Anderson, Stacey M., Kollar, Laura, Keith-Hynes, Patrick, Levy, Carol J., Lam, David W., Levister, Camilla, Baysal, Nihat, Kudva, Yogish C., Basu, Ananda, Dadlani, Vikash, Hinshaw, Ling, McCrady-Spitzer, Shelly, Bruttomesso, Daniela, Visentin, Roberto, Galasso, Silvia, Del Favero, Simone, Leal, Yenny, Boscari, Federico, Avogaro, Angelo, Cobelli, Claudio, Kovatchev, Boris P.
مصطلحات موضوعية: Adult, Blood Glucose, Blood Glucose Self-Monitoring, Cross-Over Studie, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin A, Human, Hypoglycemic Agent, Insulin, Male, Middle Aged, Young Adult, Circadian Rhythm, Insulin Infusion System, Endocrinology, Diabetes and Metabolism, Biochemistry, Clinical Biochemistry, Biochemistry (medical)
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/28666360; info:eu-repo/semantics/altIdentifier/wos/WOS:000412450400007; volume:102; issue:10; firstpage:3674; lastpage:3682; numberofpages:9; journal:THE JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM; http://hdl.handle.net/11577/3246575Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85029889798
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7دورية أكاديمية
المؤلفون: Del Favero, Simone, Boscari, Federico, Messori, Mirko, Rabbone, Ivana, Bonfanti, Riccardo, Sabbion, Alberto, Iafusco, Dario, Schiaffini, Riccardo, Visentin, Roberto, Calore, Roberta, Moncada, Yenny Leal, Galasso, Silvia, Galderisi, Alfonso, Vallone, Valeria, Di Palma, Federico, Losiouk, Eleonora, Lanzola, Giordano, Tinti, Davide, Rigamonti, Andrea, Marigliano, Marco, Zanfardino, Angela, Rapini, Novella, Avogaro, Angelo, Chernavvsky, Daniel, Magni, Lalo, Cobelli, Claudio, Bruttomesso, Daniela
المساهمون: Del Favero, Simone, Boscari, Federico, Messori, Mirko, Rabbone, Ivana, Bonfanti, Riccardo, Sabbion, Alberto, Iafusco, Dario, Schiaffini, Riccardo, Visentin, Roberto, Calore, Roberta, Moncada, Yenny Leal, Galasso, Silvia, Galderisi, Alfonso, Vallone, Valeria, Di Palma, Federico, Losiouk, Eleonora, Lanzola, Giordano, Tinti, Davide, Rigamonti, Andrea, Marigliano, Marco, Zanfardino, Angela, Rapini, Novella, Avogaro, Angelo, Chernavvsky, Daniel, Magni, Lalo, Cobelli, Claudio, Bruttomesso, Daniela
مصطلحات موضوعية: Algorithms, Blood Glucose, Child, Preschool, Cross-Over Studies, Diabetes Mellitus, Type 1, Feasibility Studies, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Pancreas, Artificial
الوصف: OBJECTIVEThe Pediatric Artificial Pancreas (PedArPan) project tested a children-specific version of the modular model predictive control (MMPC) algorithm in 5-to 9-year-old children during a camp.RESEARCH DESIGN AND METHODSA total of 30 children, 5-to 9-years old, with type 1 diabetes completed an outpatient, open-label, randomized, crossover trial. Three days with an artificial pancreas (AP) were compared with three days of parent-managed sensor-augmented pump (SAP).RESULTSOvernight time-in-hypoglycemia was reduced with the AP versus SAP, median (25th-75th percentiles): 0.0% (0.0-2.2) vs. 2.2% (0.0-12.3) (P = 0.002), without a significant change of time-in-target, mean: 56.0% (SD 22.5) vs. 59.7% (21.2) (P = 0.430), but with increased mean glucose 173 mg/dL (36) vs. 150 mg/dL (39) (P = 0.002). Overall, the AP granted a threefold reduction of time-in-hypoglycemia (P < 0.001) at the cost of decreased time-in-target, 56.8% (13.5) vs. 63.1% (11.0) (P = 0.022) and increased mean glucose 169 mg/dL (23) vs. 147 mg/dL (23) (P < 0.001).CONCLUSIONSThis trial, the first outpatient single-hormone AP trial in a population of this age, shows feasibility and safety of MMPC in young children. Algorithm retuning will be performed to improve efficacy.
وصف الملف: ELETTRONICO
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/27208335; info:eu-repo/semantics/altIdentifier/wos/WOS:000381416500026; volume:39; issue:7; firstpage:1180; lastpage:1185; numberofpages:6; journal:DIABETES CARE; http://hdl.handle.net/11562/1029728Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84992229896
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8دورية أكاديمية
المؤلفون: Brown, Sue A, Kovatchev, Boris P., Breton, Marc D., Anderson, Stacey M., Keith Hynes, Patrick, Patek, Stephen D., Jiang, Boyi, Ben Brahim, Najib, Vereshchetin, Paul, BRUTTOMESSO, DANIELA, AVOGARO, ANGELO, DEL FAVERO, SIMONE, BOSCARI, FEDERICO, GALASSO, SILVIA, VISENTIN, ROBERTO, MONARO, MARCO, COBELLI, CLAUDIO
المساهمون: Brown, Sue A, Kovatchev, Boris P., Breton, Marc D., Anderson, Stacey M., Keith Hynes, Patrick, Patek, Stephen D., Jiang, Boyi, Ben Brahim, Najib, Vereshchetin, Paul, Bruttomesso, Daniela, Avogaro, Angelo, DEL FAVERO, Simone, Boscari, Federico, Galasso, Silvia, Visentin, Roberto, Monaro, Marco, Cobelli, Claudio
مصطلحات موضوعية: Adult, Blood Glucose, Blood Glucose Self-Monitoring, Cross-Over Studie, Diabetes Mellitus, Type 1, Fasting, Female, Human, Hypoglycemic Agent, Insulin, Italy, Male, Middle Aged, Time Factor, Treatment Outcome, United State, Drug Chronotherapy, Insulin Infusion System, Endocrinology, Diabetes and Metabolism, Medical Laboratory Technology
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/25594434; info:eu-repo/semantics/altIdentifier/wos/WOS:000349948600009; volume:17; issue:3; firstpage:203; lastpage:209; numberofpages:7; journal:DIABETES TECHNOLOGY & THERAPEUTICS; http://hdl.handle.net/11577/3169567Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84923879450; www.liebertonline.com/dia
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9دورية أكاديمية
المساهمون: DEL FAVERO, Simone, Facchinetti, Andrea, Sparacino, Giovanni, Cobelli, Claudio
مصطلحات موضوعية: Ambulatory Care, Blood Glucose, Blood Glucose Self-Monitoring, Diabetes Mellitus, Type 1, Human, Hypoglycemia, Pancreas, Artificial, Reference Value, Time Factor, Algorithm, Data Accuracy, Endocrinology, Diabetes and Metabolism, Medical Laboratory Technology, Medicine (all)
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/25671379; info:eu-repo/semantics/altIdentifier/wos/WOS:000353485700011; volume:17; issue:5; firstpage:355; lastpage:363; numberofpages:9; journal:DIABETES TECHNOLOGY & THERAPEUTICS; http://hdl.handle.net/11577/3191060Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84934289684; www.liebertonline.com/dia
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10دورية أكاديمية
المؤلفون: Lanzola, Giordano, Toffanin, Chiara, Di Palma, Federico, Magni, Lalo, Bellazzi, Riccardo, DEL FAVERO, SIMONE
المساهمون: Lanzola, Giordano, Toffanin, Chiara, Di Palma, Federico, DEL FAVERO, Simone, Magni, Lalo, Bellazzi, Riccardo
مصطلحات موضوعية: Artificial pancrea, Diabetes mellitus type 1, e-Health and m-health for diabetes management, Glucose control algorithm, Remote monitoring, Biomedical Engineering, Blood Glucose, Blood Glucose Self-Monitoring, Human, Telemedicine, Computer Communication Network, Pancreas, Artificial, User-Computer Interface, Medicine (all)
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/25430423; info:eu-repo/semantics/altIdentifier/wos/WOS:000365753000003; volume:53; issue:12; firstpage:1271; lastpage:1283; numberofpages:13; journal:MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING; http://hdl.handle.net/11577/3194482Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84948690219; http://link.springer.com/journal/11517Test
الإتاحة: https://doi.org/10.1007/s11517-014-1231-1Test
http://hdl.handle.net/11577/3194482Test
http://link.springer.com/journal/11517Test
