scholarly journals Diabetic neuropathies

2000 ◽  
Vol XXXII (3-4) ◽  
pp. 59-67
Author(s):  
E. I. Bogdanov ◽  
V. V. Talantov ◽  
R. Z. Mukhamedzyanov
Keyword(s):  
Detection Rate ◽  
Early Stage ◽  
Diabetic Neuropathies ◽  
Myocardial Infarctions ◽  
Diabetic Patients ◽  
Treatment And Prevention ◽  
Patients With Diabetes ◽  
Pathogenetic Therapy ◽  
Clinical Variants

Diabetic neuropathies (DN) are among the most frequent and serious complications of diabetes [57, 9]. The detection rate of DN in diabetic patients varies greatly depending on their type, selected clinical and instrumental diagnostic criteria and, according to various researchers, ranges from 10 to 90% [16, 33]. At the same time, 1/3 of the polyneuropathies recognized in the neurological clinic are diabetic. In about 10% of cases, neuropathic symptoms are key in the diagnosis of diabetes [25]. DN has not only severe subjective manifestations and pronounced impairments that are objectively detected in them, but also leads to the development of diabetic foot syndrome - the cause of 50 - 70% of cases of all non-traumatic amputations of the legs [3]. In addition, in patients with diabetic visceral autonomic neuropathy, the syndrome of "sudden death" is much more common, and the frequency of painless myocardial infarctions and ischemic strokes is high. Clinical variants of DN are often the main causes of reduced quality of life, disability and disability in patients with diabetes mellitus. It is extremely important to diagnose the early stage of DN, when it is easier to achieve a therapeutic effect through the earliest and most stable provision of optimal control of an adequate level of glycemia and the appointment of means of pathogenetic therapy. Isolation of forms of DN, their diagnosis, treatment and prevention is an urgent clinical task.

scholarly journals An Early Intestinal Cancer Prediction Algorithm Based on Deep Belief Network

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jing-Jing Wan ◽  
Bo-Lun Chen ◽  
Yi-Xiu Kong ◽  
Xing-Gang Ma ◽  
Yong-Tao Yu
Keyword(s):  
Colorectal Cancer ◽  
Early Stage ◽  
Prediction Algorithm ◽  
Medical Doctors ◽  
Cancer Prediction ◽  
Treatment And Prevention ◽  
Learning Technique ◽  
Previous Prediction ◽  
High Computational Complexity

AbstractThe incidence of colorectal cancer (colorectal cancer, CRC) in China has increased in recent years, and its mortality rate has become one of the highest among all cancers. CRC also increasingly affects people’s health and quality of life, and the workloads of medical doctors have further increased due to the lack of sufficient medical resources in China. The goal of this study was to construct an automated expert system using a deep learning technique to predict the probability of early stage CRC based on the patient’s case report and the patient’s attributes. Compared with previous prediction methods, which are either based on sophisticated examinations or have high computational complexity, this method is shown to provide valuable information such as suggesting potentially important early signs to assist in early diagnosis, early treatment and prevention of CRC, hence helping medical doctors reduce the workloads of endoscopies and other treatments.

scholarly journals The influence of quality of life in treatment adherence of diabetic patients: a systematic review

2015 ◽  
Vol 49 (5) ◽  
pp. 839-846 ◽  
Author(s):  
Luana de Fátima Gusmai ◽  
Tatiana de Sá Novato ◽  
Lilia de Souza Nogueira
Keyword(s):  
Quality Of Life ◽  
Treatment Adherence ◽  
Web Of Science ◽  
Glycated Hemoglobin ◽  
Diabetic Patients ◽  
Diabetes Treatment ◽  
Review Of The Literature ◽  
Foot Care ◽  
Patients With Diabetes

AbstractOBJECTIVETo verify the influence of quality of life in treatment adherence of patients with diabetes mellitus.METHODSystematic review of the literature using the databases MEDLINE, CINAHL, Scopus, LILACS, SciELO and Web of Science with studies published between 2003 and 2014 in English, Portuguese or Spanish.RESULTSSix studies were included in the review, three were identified as having better quality of life scores, being related to better adherence to diabetes treatment measured by glycated hemoglobin or characteristics related to diet, exercise, use of medication and foot care. No association was found between quality of life and adherence in two investigations and a study found a negative association between these variables.CONCLUSIONThere is causal relationship between quality of life and adherence with diabetes treatment. It is suggested that psychosocial aspects of patients should be considered by health professionals in the search for better clinical outcomes in diabetes care.

scholarly journals Pharmacist-Led Interventions on Improving Outcomes in Patients with Diabetes Mellitus: Evidence from the Literature

2020 ◽  
Vol 10 (4) ◽  
pp. 49-58
Author(s):  
Sini T Inasu ◽  
MV Kumudavalli
Keyword(s):  
Diabetes Mellitus ◽  
Self Management ◽  
Diabetic Patients ◽  
Health Related Quality ◽  
Randomized Controlled ◽  
Chd Risk ◽  
Patients With Diabetes ◽  
Related Quality ◽  
Health Related

Diabetes mellitus is a rapidly growing major health problem world-wide. The management of type 2 diabetes mellitus is complex, requiring continuous medical care by health care professionals and considerable self-care efforts by patients. A collaborative and integrated team approach in which pharmacists can play a pivotal role should be sought when managing patients with diabetes. Pharmacist-led care programs have been shown to help patients with diabetes succeed in achieving treatment goals and improving outcomes. Hence, the aim of this narrative review is to address and summarize the effectiveness of pharmacist interventions in the management of diabetic patients. A comprehensive literature search was conducted in PubMed/Medline, Scopus, web of Science and the Cochrane Library were searched from the date of database inception to June 2019. All randomized controlled trials evaluating the effectiveness of pharmacist-based interventions on diabetic patients in comparison with usual care were included in study. Outcomes of interest included short-term and long-term measures such as glycated haemoglobin (HbA1c), and secondary outcomes were blood glucose level, blood pressure (BP), lipid profile, body mass index (BMI), 10-year coronary heart disease (CHD) risk, medication adherence, health related quality of life (HRQoL), and economic outcomes. Twenty-five studies were included in this systematic study. They were heterogeneous in terms of interventions, participants, settings and outcomes. Pharmacist-led self-management interventions included education on diabetes and its complications, medication adherence, lifestyle and education of self-management skills. Few studies even focussed on patients need through a tailored intervention. We found that those who received the pharmacist care had a statistically significant improvement in HbA1C, blood pressure, lipid profile, health-related quality of life, and CHD risk. These results underline the added value of pharmacists in patient-related care.  Hence this review supports the involvement of pharmacists as a member of health- care teams in managing diabetic patients at diverse settings worldwide. Keywords: diabetes, self-management, HbA1C, pharmaceutical care, randomized controlled trial

scholarly journals A Novel System for the Identification of Diabetic Retinopathy using Computer Based Statistical Classification

2021 ◽  
Vol 12 (3) ◽  
pp. 4044-4059
Author(s):  
Sunil S S Et.al
Keyword(s):  
Deep Learning ◽  
Learning Strategy ◽  
Early Stage ◽  
Diabetic Patients ◽  
Statistical Classification ◽  
Computer Based ◽  
Detection And Diagnosis ◽  
Different Characteristics ◽  
Early Detection And Diagnosis

Diabetes Retinopathy (DR) is an eye disorder that affects the human retina due to increased insulin levels in the blood. Early detection and diagnosis of DR is essential in the optimal treatment of diabetic patients. The current research is to develop controls for identifying different characteristics and differences in colour  retina and using different classifications. This therapeutic approach describes diabetes recovery from data collected from multiple fields including DRIDB0, DRIDB1, MESSIDOR, STARE and HRF. Here  machine learning, neural networks and deep learning algorithms issues are addressed with related topics such as Sensitivity, Precision, Accuracy, Error,   Specificity and F1-score, Mathews Correlation Coefficient (MCC) and coefficient of kappa are compared. Finally due to the deep learning strategy the results were more effective compared to other methods. The system can help ophthalmologists, to identify the symptoms of diabetes at an early stage, for better treatment and to improve the quality of life biology.

scholarly journals Correlation between the Activity of Aldehyde Dehydrogenase and Oxidative Stress Markers in the Saliva of Diabetic Patients

2019 ◽  
Vol 27 (1) ◽  
pp. 67-73
Author(s):  
Hina Younus ◽  
Sumbul Ahmad ◽  
Md. Fazle Alam
Keyword(s):  
Oxidative Stress ◽  
Aldehyde Dehydrogenase ◽  
Early Stage ◽  
Control Group ◽  
Diabetic Patients ◽  
Oxidative Stress Markers ◽  
Stress Markers ◽  
Patients With Diabetes ◽  
Markers Of Oxidative Stress ◽  
And Oxidative Stress

Background: Reactive aldehydes are involved in diseases associated with oxidative stress, including diabetes. Human salivary aldehyde dehydrogenase (hsALDH) presumably protects us from many toxic ingredient/contaminant aldehydes present in food. Objective: This study aimed to probe the activity of hsALDH in patients with diabetes and than to correlate it with various oxidative stress markers in the saliva. Methods: The saliva samples were collected from total 161 diabetic patients from Rajiv Gandhi Centre for Diabetes, Jawaharlal Nehru Medical College (JNMC), AMU, Aligarh, (India). HsALDH activity and markers of oxidative stress [8-hydroxydeoxyguanosine (8-OHDG), malondialdehyde (MDA) and advanced glycation end products (AGEs)] were measured in the saliva samples. Results: Patients with early stage of diabetes had higher activity of hsALDH when compared with the control group. As the history of diabetes increases, the activity of the enzyme decreases and also higher oxidative stress markers (8-OHDG, MDA and AGEs) are detected in the saliva samples. Negative significant correlation between hsALDH activity and oxidative stress markers were observed (p <0.0001). Conclusion: The activity of hsALDH increases in early stages of diabetes most probably to counter the increased oxidative stress associated with diabetes. However, in later stages of diabetes, the activity of the enzyme decreases, possibly due to its inactivation resulting from glycation.

scholarly journals The effect of self-management education through weblogs on the quality of life of diabetic patients

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Amal Mohammad Rasoul ◽  
Rostam Jalali ◽  
Alireza Abdi ◽  
Nader Salari ◽  
Mehrali Rahimi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Management Education ◽  
T Test ◽  
Self Management ◽  
Diabetic Patients ◽  
Control Groups ◽  
Patients With Diabetes ◽  
The Mean ◽  
And Control

Abstract Background Self-management education of diabetes which is one of the most important noncommunicable diseases worldwide involves facilitating knowledge, skills, and ability required for self-care in these patients. Concerning the progressive growth of use of Internet for educating patients and absence of different studies about education through use of weblogs in patients with diabetes in Iran, the present study was conducted with the aim of determining the effect of self-management education through weblogs on the quality of life of affect the patients. Methods This study was performed as intervention on patients referring to diabetes clinic of Talghani hospital in Kermanshah in winter 2018 and spring 2019. The samples consisted of 98 patients with diabetes chosen through available sampling and randomly assigned into study and control groups. For data collection, diabetes quality of life (DQOL) short form clinical questionnaire, Persian version, was used. The intervention involved training self-management conducted through 60 sessions via a designed weblog. The obtained information was introduced into SPSS 21, and analyzed through Mann-Whitney, t-test, and paired t-test. Results According to the results of this study, the mean age of the examined patients was 32.1 ± 4.9 years, where the major participants were male (n = 52 in the test group, 52.5%). The results showed that after the intervention, the test and control groups were different in terms of anthropometric variables and metabolic indicators; the mean waist circumference in the test and control groups was 98.6 ± 9.8 and 101.5 ± 7.8, respectively; the mean FBS following the intervention in the test and control groups was 131.08 ± 16.04 and 238.2 ± 40, respectively; and the mean BMI postintervention in the test and control groups was obtained as 27.3 ± 3.4 and 30.1 ± 3.8 respectively, where these differences were significant according to independent t-test (p < 0.05). The mean score of quality of life postintervention in the test and control groups was obtained as 56.1 and 49.9 respectively; according to Mann-Whitney test, the difference between the two groups was significant (p < 0.05). Conclusion The results of the present study revealed the positive effect of weblog based self-management on the quality of life of patients with diabetes following the intervention. Further, reduced levels of FBS, BMI, as well as systolic and diastolic blood pressure were also observed, which could be due to increased awareness of patients about their abilities, its risks, as well as the ways to control and treat it.

scholarly journals Impact on the Quality of Life and Physiological Parameters in Patients with Diabetes Mellitus

2021 ◽  
Vol 11 (15) ◽  
pp. 6829
Author(s):  
María Reina-Bueno ◽  
Inmaculada C. Palomo-Toucedo ◽  
Manuel Ángel Medina-Núñez ◽  
Pedro V. Munuera-Martínez ◽  
Aurora Castro-Méndez ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Diabetic Foot ◽  
Physiological Parameters ◽  
Physical Parameters ◽  
Diabetic Patients ◽  
Life Questionnaire ◽  
Adult Women ◽  
Patients With Diabetes

The co-existence of complications and diabetes mellitus is related to a worsening in quality of life compared to not presenting comorbidities. This study aimed to investigate whether there is a different impact on quality of life according to gender and to establish the physiological parameters that these patients have in relation to diabetes-related complications. The sampling was continuous non-probabilistic, involving legal age patients with diabetes mellitus. All of the participants were administered the generic SF-36 quality of life questionnaire. The presence of peripheral artery disease was considered from an ankle brachial index <0.9 and grade II to grade IV of the Leriche–Fontaine classification. Nerve dysfunction was detected from a neurotensiometer test, and the presence of diabetic foot was detected from a dermal examination and co-existence with arteriopathy and/or neuropathy. Men presented significantly better quality of life values on the mental health, emotional role and health transition scales. Despite this, in the presence of complications such as vasculopathy, neuropathy or diabetic foot, the perception of well-being changes, showing that men and women face the disease in different ways. Despite the fact that the physical parameters of diabetic patients are similar according to the complications that they present, the adult women in our environment have lower levels of quality of life than men in most cases. This may be related not only to pathophysiological differences but also to sociocultural factors.

scholarly journals Application of artificial intelligence in prediction of cardiovascular complications in patients with diabetes mellitus type 2: A protocol of systematic review

2021 ◽  
Author(s):  
Hengameh Ferdosian ◽  
◽  
Hadi Zamanian ◽  
Sayed Ali Emami ◽  
Elahe Sedighi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Microvascular Complications ◽  
Cardiovascular Complications ◽  
Diabetic Patients ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
Review Question

Review question / Objective: The aim of this systematic review is to evaluate AI-based models in identifying predictors of cardiovascular events and risk predtion in patients with diabetes mellitus type2. Condition being studied: T2DM patients have an increased risk of macrovascular and microvascular complications, lead to decreased quality of life and mortality. Considering the significance of cardiovascular complications in these patients, prediction of such events would be important. Different traditional statistical methods(such as regression) and new AI-besed algorithms are used to predict these complications in diabetic patients.

A Mobile Agent-Based Technique for Medical Monitoring (Supports of Patients with Diabetes)

2014 ◽  
Vol 4 (1) ◽  
pp. 17-32
Author(s):  
Zineb Chaouch ◽  
Mohammed Tamali
Keyword(s):  
Mobile Agent ◽  
Geographic Location ◽  
Fast Response ◽  
Diabetic Patients ◽  
Outpatient Basis ◽  
Medical Monitoring ◽  
Agent Based ◽  
Patients With Diabetes ◽  
Multi Agent

Telemedicine is a particularly useful means to optimize the quality of care by fast medical exchanges that benefit patients whose state of health requires an appropriate and fast response, regardless of their geographic location. In this paper, the authors propose a mobile agent based architecture (DiabMAS) for remote medical monitoring of diabetic patients on an outpatient basis using mobile devices (laptops, PDAs, etc ...) by exploring the new operating Mobile system, Android. DiabMAS is a multi-agent system having as main objective the improvement of the transmission of information between patients and their physicians, especially the management of specific and critical cases.

Abstract 3511: Quality of Life in COURAGE Trial Patients with Diabetes

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
David J Maron ◽  
John A Spertus ◽  
Paul G Kolm ◽  
Steven P Sedlis ◽  
G.B. John Mancini ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Coronary Intervention ◽  
Group Differences ◽  
Diabetic Patients ◽  
Treatment Groups ◽  
Diabetes Status ◽  
Percutaneous Coronary ◽  
Angina Frequency ◽  
Patients With Diabetes

Background: The COURAGE trial randomized 2,287 patients to percutaneous coronary intervention (PCI) plus optimal medical therapy (OMT) or OMT alone. We hypothesized that patients with diabetes would have lower quality of life (QOL) at baseline and benefit less from PCI than patients without diabetes. Methods: Angina frequency and QOL were assessed with the Seattle Angina Questionnaire (SAQ) at baseline, 1, 2, and 3 years. Diabetes and treatment group differences were assessed by analysis of variance and linear mixed effects models. Results: (See Table .) Diabetes status could be determined in 2,234 patients. Of these, 766 (34%) had diabetes. There were no significant baseline differences in SAQ scores for angina frequency and QOL for patients with and without diabetes. All patients experienced significant (p<0.001) improvement in these SAQ scores from baseline through 3 years post-randomization in both treatment arms, however patients without diabetes had significantly greater improvement (p<0.001 for both scores). The addition of PCI to OMT produced a small but statistically significant advantage for patients without diabetes that persisted for 2 years for angina frequency and 1 year for QOL; a similar advantage for PCI was observed for patients with diabetes, but this was not statistically significant, due in part to the smaller sample size. Comparison of SAQ Scores by Diabetes Status and Treatment Conclusions: COURAGE patients with and without diabetes had similar baseline angina frequency and QOL, and experienced marked improvement in these parameters in both treatment groups. Diabetic patients had less improvement in these health status scores than non-diabetic patients. The addition of PCI to OMT produced a small incremental benefit compared with OMT alone that lasted for 1–2 years, after which there were no between-group differences for patients with or without diabetes.

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