scholarly journals Segmentation of Prefrontal Lobe Based on Improved Clustering Algorithm in Patients with Diabetes

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Na Zhao ◽  
Qingzhen Zhao ◽  
Liang Wang ◽  
Xiuqing Wu ◽  
Rui Zhang ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Negative Correlation ◽  
Clustering Algorithm ◽  
Postoperative Cognitive Dysfunction ◽  
High Specificity ◽  
Jaccard Coefficient ◽  
Patients With Diabetes ◽  
Preoperative Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri ◽  
Prefrontal Lobe

Diabetics are prone to postoperative cognitive dysfunction (POCD). The occurrence may be related to the damage of the prefrontal lobe. In this study, the prefrontal lobe was segmented based on an improved clustering algorithm in patients with diabetes, in order to evaluate the relationship between prefrontal lobe volume and COPD. In this study, a total of 48 diabetics who underwent selective noncardiac surgery were selected. Preoperative magnetic resonance imaging (MRI) images of the patients were segmented based on the improved clustering algorithm, and their prefrontal volume was measured. The correlation between the volume of the prefrontal lobe and Z -score or blood glucose was analyzed. Qualitative analysis shows that the gray matter, white matter, and cerebrospinal fluid based on the improved clustering algorithm were easy to distinguish. Quantitative evaluation results show that the proposed segmentation algorithm can obtain the optimal Jaccard coefficient and the least average segmentation time. There was a negative correlation between the volume of the prefrontal lobe and the Z -score. The cut-off value of prefrontal lobe volume for predicting POCD was <179.8, with the high specificity. There was a negative correlation between blood glucose and volume of the prefrontal lobe. From the results, we concluded that the segmentation of the prefrontal lobe based on an improved clustering algorithm before operation may predict the occurrence of POCD in diabetics.

Self-monitoring of blood glucose and perceived obstacles in Turkish patients with diabetes mellitus

2014 ◽  
Author(s):  
Ozlem Turhan Iyidir ◽  
Mustafa Unubol ◽  
Bulent Ogun Hatipoglu ◽  
Ceyla Konca Degertekin
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
Turkish Patients

Neuropathy in the gut. Gut motility disorders in patients with diabetes mellitus

2012 ◽  
Vol 153 (16) ◽  
pp. 607-614
Author(s):  
Tibor Wittmann
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Treatment Modalities ◽  
Clinical Aspects ◽  
Gut Motility ◽  
Motility Disorders ◽  
The Everyday ◽  
Patients With Diabetes ◽  
Leading Symptom ◽  
Different Parts

The extent and severity of motility disorders remains heterogeneous in the different parts of the gut, and in most cases failures in gut motility do not correspond with the severity of the symptoms. If diarrhea or fecal incontinence is the leading symptom, or the blood glucose level varies frequently and considerably despite the treatment efforts, the motility of the stomach and bowels is seriously disturbed. The clinical aspects, detailed pathogenesis, diagnostic approach and treatment modalities of gastrointestinal motility disorders in diabetes mellitus are reviewed to help and improve the everyday medical practice. Orv. Hetil., 2012, 153, 607–614.

Examining Sensor Agreement in Neural Network Blood Glucose Prediction

2021 ◽  
pp. 193229682110182
Author(s):  
Aaron P. Tucker ◽  
Arthur G. Erdman ◽  
Pamela J. Schreiner ◽  
Sisi Ma ◽  
Lisa S. Chow
Keyword(s):  
Neural Network ◽  
Blood Glucose ◽  
Patient Specific ◽  
Sensor Location ◽  
Effective Care ◽  
Freestyle Libre ◽  
Patients With Diabetes ◽  
Interstitial Glucose ◽  
Continuous Glucose Monitors ◽  
Glucose Prediction

Successful measurements of interstitial glucose are a key component in providing effective care for patients with diabetes. Recently, there has been significant interest in using neural networks to forecast future glucose values from interstitial measurements collected by continuous glucose monitors (CGMs). While prediction accuracy continues to improve, in this work we investigated the effect of physiological sensor location on neural network blood glucose forecasting. We used clinical data from patients with Type 2 Diabetes who wore blinded FreeStyle Libre Pro CGMs (Abbott) on both their right and left arms continuously for 12 weeks. We trained patient-specific prediction algorithms to test the effect of sensor location on neural network forecasting ( N = 13, Female = 6, Male = 7). In 10 of our 13 patients, we found at least one significant ( P < .05) increase in forecasting error in algorithms which were tested with data taken from a different location than data which was used for training. These reported results were independent from other noticeable physiological differences between subjects (eg, height, age, weight, blood pressure) and independent from overall variance in the data. From these results we observe that CGM location can play a consequential role in neural network glucose prediction.

scholarly journals Sam68 promotes hepatic gluconeogenesis via CRTC2

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aijun Qiao ◽  
Junlan Zhou ◽  
Shiyue Xu ◽  
Wenxia Ma ◽  
Chan Boriboun ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Therapeutic Target ◽  
Rna Binding ◽  
Adaptor Protein ◽  
Diabetic Mouse ◽  
Mrna Levels ◽  
Hepatic Gluconeogenesis ◽  
Kinase Substrate ◽  
Glucose Levels ◽  
Patients With Diabetes

AbstractHepatic gluconeogenesis is essential for glucose homeostasis and also a therapeutic target for type 2 diabetes, but its mechanism is incompletely understood. Here, we report that Sam68, an RNA-binding adaptor protein and Src kinase substrate, is a novel regulator of hepatic gluconeogenesis. Both global and hepatic deletions of Sam68 significantly reduce blood glucose levels and the glucagon-induced expression of gluconeogenic genes. Protein, but not mRNA, levels of CRTC2, a crucial transcriptional regulator of gluconeogenesis, are >50% lower in Sam68-deficient hepatocytes than in wild-type hepatocytes. Sam68 interacts with CRTC2 and reduces CRTC2 ubiquitination. However, truncated mutants of Sam68 that lack the C- (Sam68ΔC) or N-terminal (Sam68ΔN) domains fails to bind CRTC2 or to stabilize CRTC2 protein, respectively, and transgenic Sam68ΔN mice recapitulate the blood-glucose and gluconeogenesis profile of Sam68-deficient mice. Hepatic Sam68 expression is also upregulated in patients with diabetes and in two diabetic mouse models, while hepatocyte-specific Sam68 deficiencies alleviate diabetic hyperglycemia and improves insulin sensitivity in mice. Thus, our results identify a role for Sam68 in hepatic gluconeogenesis, and Sam68 may represent a therapeutic target for diabetes.

scholarly journals Glycemic variability and cardiovascular disease in patients with type 2 diabetes

2021 ◽  
Vol 9 (1) ◽  
pp. e002032
Author(s):  
Marcela Martinez ◽  
Jimena Santamarina ◽  
Adrian Pavesi ◽  
Carla Musso ◽  
Guillermo E Umpierrez
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glycated Hemoglobin ◽  
Glucose Monitoring ◽  
Glycemic Variability ◽  
Cardiovascular Complications ◽  
Glucose Levels ◽  
Increased Risk ◽  
Patients With Diabetes

Glycated hemoglobin is currently the gold standard for assessment of long-term glycemic control and response to medical treatment in patients with diabetes. Glycated hemoglobin, however, does not address fluctuations in blood glucose. Glycemic variability (GV) refers to fluctuations in blood glucose levels. Recent clinical data indicate that GV is associated with increased risk of hypoglycemia, microvascular and macrovascular complications, and mortality in patients with diabetes, independently of glycated hemoglobin level. The use of continuous glucose monitoring devices has markedly improved the assessment of GV in clinical practice and facilitated the assessment of GV as well as hypoglycemia and hyperglycemia events in patients with diabetes. We review current concepts on the definition and assessment of GV and its association with cardiovascular complications in patients with type 2 diabetes.

scholarly journals Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML)

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 742
Author(s):  
Rima Hajjo ◽  
Dima A. Sabbah ◽  
Sanaa K. Bardaweel ◽  
Alexander Tropsha
Keyword(s):  
Machine Learning ◽  
High Specificity ◽  
Cancer Biomarkers ◽  
Cancer Prognosis ◽  
Current Status ◽  
Imaging Data ◽  
Non Invasive ◽  
Machine Learning Methods ◽  
Cancer Types ◽  
Magnetic Resonance Imaging Mri

The identification of reliable and non-invasive oncology biomarkers remains a main priority in healthcare. There are only a few biomarkers that have been approved as diagnostic for cancer. The most frequently used cancer biomarkers are derived from either biological materials or imaging data. Most cancer biomarkers suffer from a lack of high specificity. However, the latest advancements in machine learning (ML) and artificial intelligence (AI) have enabled the identification of highly predictive, disease-specific biomarkers. Such biomarkers can be used to diagnose cancer patients, to predict cancer prognosis, or even to predict treatment efficacy. Herein, we provide a summary of the current status of developing and applying Magnetic resonance imaging (MRI) biomarkers in cancer care. We focus on all aspects of MRI biomarkers, starting from MRI data collection, preprocessing and machine learning methods, and ending with summarizing the types of existing biomarkers and their clinical applications in different cancer types.

scholarly journals Variability in preventive care practices among US adults with diabetes mellitus

2021 ◽  
Vol 9 (1) ◽  
pp. e001861
Author(s):  
Lorena Baccaglini ◽  
Adams Kusi Appiah ◽  
Mahua Ray ◽  
Fang Yu
Keyword(s):  
Blood Glucose ◽  
Diabetes Care ◽  
Target Population ◽  
Care Practice ◽  
Behavioral Risk ◽  
Cross Sectional ◽  
Complex Sampling ◽  
Patients With Diabetes ◽  
Care Practices ◽  
Diabetic Care

IntroductionPatients with diabetes are advised to follow standard medical care including daily blood glucose and foot checks, eye examinations with pupil dilation, and cholesterol checks to prevent diabetes-related complications. It is unclear how these practices currently vary across different US population subgroups. The objective of this study was to assess variation in overall and individual diabetes care practices and identify specific factors associated with differences in these practices in a representative sample of US diabetic adults.Research design and methodsCross-sectional data were from the 2017 Behavioral Risk Factor Surveillance System. Survey logistic regression was used to account for the complex sampling design.ResultsAmong 30 780 eligible participants, 8957 (equivalent to 28% of the target population) followed all four diabetes care practices. Insulin-dependent participants had higher adjusted odds (adjusted OR=2.95; 95% CI 2.62 to 3.31) of following all four diabetic care practices compared with those who did not. Cost-related variables (having healthcare coverage and/or a personal doctor) were positively associated with diabetes care practices, with the strongest association observed for adherence to more costly practices (annual eye examination and cholesterol check) versus less costly ones (daily blood glucose check, daily foot check).ConclusionsOur findings suggest the need for diabetes care practice-specific and population subgroup-specific public health interventions to encourage early adherence to diabetic care practices and reduce complications.

scholarly journals Axillary Nerve Position in Humeral Avulsions of the Glenohumeral Ligament

2018 ◽  
Vol 6 (12) ◽  
pp. 232596711881104 ◽  
Author(s):  
Desmond J. Bokor ◽  
Sumit Raniga ◽  
Petra L. Graham
Keyword(s):  
Safety Margin ◽  
Case Series ◽  
Free Edge ◽  
Axillary Nerve ◽  
Level Of Evidence ◽  
Glenohumeral Ligament ◽  
Preoperative Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri ◽  
Potential Damage ◽  
Hagl Lesion

Background: The axillary nerve is at risk during repair of a humeral avulsion of the glenohumeral ligament (HAGL). Purpose: To measure the distance between the axillary nerve and the free edge of a HAGL lesion on preoperative magnetic resonance imaging (MRI) and compare these findings to the actual intraoperative distance measured during open HAGL repair. Study Design: Case series; Level of evidence, 4. Methods: A total of 25 patients with anterior instability were diagnosed as having a HAGL lesion on MRI and proceeded to open repair. The proximity of the axillary nerve to the free edge of the HAGL lesion was measured intraoperatively at the 6-o’clock position relative to the glenoid face. Preoperative MRI was then used to measure the distance between the axillary nerve and the free edge of the HAGL lesion at the same position. Distances were compared using paired t tests and Bland-Altman analyses. Results: The axillary nerve lay, on average, 5.60 ± 2.51 mm from the free edge of the HAGL lesion at the 6-o’clock position on preoperative MRI, while the mean actual intraoperative distance during open HAGL repair was 4.84 ± 2.56 mm, although this difference was not significant ( P = .154). In 52% (13/25) of patients, the actual intraoperative distance of the axillary nerve to the free edge of the HAGL lesion was overestimated by preoperative MRI. In 36% (9/25), this overestimation of distance was greater than 2 mm. Conclusion: The observed overestimations, although not significant in this study, suggest a smaller safety margin than might be expected and hence a substantially higher risk for potential damage. We recommend that shoulder surgeons exercise caution in placing capsular sutures in the lateral edge when contemplating arthroscopic repair of HAGL lesions, as the proximity of the nerve to the free edge of the HAGL tear is small enough to be injured by arthroscopic suture-passing instruments.

scholarly journals Switching from biosimilar (Basalin) to originator (Lantus) insulin glargine is effective in Chinese patients with diabetes mellitus: a retrospective chart review

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 477 ◽  
Author(s):  
Xia Hu ◽  
Lei Zhang ◽  
Yanhu Dong ◽  
Chao Dong ◽  
Jikang Jiang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Insulin Glargine ◽  
Hospital Discharge ◽  
Chart Review ◽  
Insulin Dose ◽  
Retrospective Chart Review ◽  
Chinese Patients ◽  
Time Points ◽  
Patients With Diabetes

Background: This study investigated the effectiveness and safety of switching from Basalin® to Lantus® in Chinese patients with diabetes mellitus (DM). Methods:  A retrospective chart review conducted using the electronic medical records of patients hospitalized at the Qingdao Endocrine and Diabetes Hospital from 2005 to 2016. All patients were diagnosed with DM and underwent switching of insulin from Basalin to Lantus during hospitalization. Data collected included fasting (FBG), pre- and post-prandial whole blood glucose, insulin dose, reasons for insulin switching and hypoglycemia. Four study time points were defined as: hospital admission, Basalin initiation, insulin switching (date of final dose of Basalin), and hospital discharge. Blood glucose measurements were imputed as the values recorded closest to the dates of these four time points for each patient. Results: Data from 73 patients (70 patients with type 2 diabetes, 2 with type 1, and 1 undisclosed) were analyzed. At admission, mean glycated hemoglobin (HbA1c) and FBG were 8.9% (SD=1.75) and 9.98 (3.22) mmol/L, respectively. Between Basalin initiation and insulin switch, mean FBG decreased from 9.68 mmol/L to 8.03 mmol/L (p<0.0001), over a mean 10.8 (SD=6.85) days of Basalin treatment, and reduced further to 7.30 mmol/L at discharge (p=0.0116) following a mean 6.6 (7.36) days of Lantus. The final doses of Basalin and Lantus were similar (0.23 vs. 0.24 IU/kg/day; p=0.2409). Furthermore, reductions in pre- and post-prandial blood glucose were also observed between Basalin initiation, insulin switch and hospital discharge. The incidence of confirmed hypoglycemia was low during Basalin (2 [2.4%]) and Lantus (1 [1.2%]) treatment, with no cases of severe hypoglycemia. Conclusion: In this study population, switching from Basalin to Lantus was associated with further reductions in blood glucose, although the dose of insulin glargine did not increase. Further studies are required to verify these findings and determine the reason for this phenomenon.

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