A Statistical Analysis of the Neurological Manifestations of Japanese Diabetic Patients

2015 ◽  
pp. 143-152 ◽  
Author(s):  
Yoshihito Atsumi ◽  
Kempei Matsuoka ◽  
Akira Horiuchi
Keyword(s):  
Statistical Analysis ◽  
Diabetic Patients ◽  
Neurological Manifestations

SYMPHYTUM OFFICINALE IN THE TREATMENT OF PLANTAR KERATOSIS IN DIABETIC PATIENTS: DOUBLE BLIND RANDOMIZED CLINICAL TRIAL

2021 ◽  
pp. 62-64
Author(s):  
Beatriz Bertolaccini Martínez ◽  
Elisa Coutinho Moura
Keyword(s):  
Clinical Trial ◽  
Salicylic Acid ◽  
Statistical Analysis ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Double Blind ◽  
Double Blind Clinical Trial ◽  
Before And After ◽  
Type 2 Diabetic

PURPOSE: To compare the efcacy between SO and salicylic acid SA in the treatment of plantar keratosis of diabetic patients. METHODS: Randomized, double-blind clinical trial, with 47 type 2 diabetic patients, both sexes and with plantar keratosis. Patients were randomized into 2 groups: G1 (n = 48; treated with 15% SO extract) and G2 (n = 46; treated with 10% AS). The feet were photographed before (D0) and after the treatment (D30) and keratosis areas were measured using the Image J software. For each patient, a lesion in each foot was analyzed. The results were expressed by median. In the statistical analysis, the Wilcoxin test was used to compare the lesion areas before and after treatments and the Mann-Whitney test was used to compare the regression of the lesion areas between the two groups. P <0.05 was adopted. RESULTS: G1 (D0 = 2 8.156 vs D30 = 2.226; p <0.0001) and G2 (D0 = 4.835 vs D30 = 2.059; p <0.0001) showed a difference between the areas (cm ) of the keratosis, 2 before and after the treatment. There was a difference in the regression of the areas (cm ) of keratosis, between G1 and G2, respectively (4.540 vs 1.171, p <0.0001). CONCLUSION: Symphytum ofcinale proved to be more effective than Salicylic Acid in the treatment of plantar keratosis in diabetic patients.

scholarly journals Clinical assessment of depression and type 2 diabetes in Morocco: Economical and social components

2014 ◽  
Vol 05 (03) ◽  
pp. 250-253 ◽  
Author(s):  
Salma Bensbaa ◽  
Loubna Agerd ◽  
Saïd Boujraf ◽  
Chadya Araab ◽  
Rachid Aalouane ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Statistical Analysis ◽  
Social Security ◽  
Depression Scale ◽  
Diabetic Patients ◽  
Arabic Version ◽  
Prevalence Of Depression ◽  
History Of

ABSTRACT Background: The global prevalence of diabetes is increasing worldwide. In Morocco, diabetes and depression are major public health problems, requiring improvement in their care. Diabetes and depression are associated with morbidity and early mortality. This association contributes to raising the risk of the complications that occur, while causing higher suffering to patients, as also an increased cost toward healthcare. Aim: This study aims to assess the prevalence of depression in patients with type 2 diabetes (T2D), and identify the main risk factors for depression in this category of diabetic patients. Patients and Methods: Type 2 diabetic patients and older than 18 years of age were recruited. The exclusion criteria included being type 1 diabetic, pregnant woman, hospitalized patients, a history of neurological disorders, such as, stroke, infectious episidodes, and history of psychiatric disorders. The individual patient data was collected through individual and confidential interviews lasting 30 minutes, at the end of the diabetology consultation, by the same diabetologist, trained to use the psychometric scales that were needed. The Moroccan–Arabic version of the Beck diagnostic scale of depression was used. Patients assessed with depressive disorders were reviewed in a specialized psychiatric consultation. The statistical analysis was achieved by using SPSS package (version 17). We retained a threshold P value of 0.05. Settings and Design: A cross-sectional study was conducted that included adults with type 2 diabetes. The depression diagnosis was performed using the Arabic version of the Beck Depression scale. Statistical Analysis: We included 142 patients with type 2 diabetes, with an average age of 56.26 years. The prevalence of depression was 33.1%. The risk factors recognized for depression were, lack of social security, hypertension, and a history of type 2 diabetes of more than five years. Results and Conclusions: In this study, we have focused on the frequent association of ‘Type 2 diabetes and depression’ and the risk of mutual aggravation of both pathologies that might require multidisciplinary healthcare, as well as, improvement in the risk factors of depression through improved access to healthcare, with the extension of social security. The stability of the healthcare personnel involved in the treatment of both chronic diseases, including diabetes and hypertension screening, should also be considered for better management of psychiatric complications.

scholarly journals The impact of diabetes mellitus on the anti-tuberculous treatment outcome: a series of cases from the Republic of Moldova

2021 ◽  
Vol 94 (3) ◽  
pp. 325-332
Author(s):  
Evelina Lesnic ◽  
Alina Malic ◽  
Ovidiu Tafuni
Keyword(s):  
Diabetes Mellitus ◽  
Treatment Outcome ◽  
Statistical Analysis ◽  
Treatment Effectiveness ◽  
Tuberculosis Treatment ◽  
Control Group ◽  
Diabetic Patients ◽  
Republic Of Moldova ◽  
The Republic ◽  
The Impact

Background and aims. The Republic of Moldova ranks among the European Region countries with the highest global incidence of tuberculosis. Almost 5% of the cases with pulmonary TB had been diagnosed with DM in 2017. The aim of this study was to assess the impact of diabetes mellitus on the anti-tuberculosis treatment effectiveness for the improvement of the disease outcome. Methods. A retrospective, longitudinal and case-control study, which included a total number of 252 patients diagnosed with pulmonary tuberculosis and distributed into a study group of 93 patients diagnosed with diabetes mellitus and a control group of 159 patients without glycemic disorders was performed. The statistical analysis was performed using EpiInfo software. The statistical analysis of the differences between normally distributed continuous variables was tested with the Student T-test. Results. Based on the collected data we established that the majority of the patients with glycemic disorders were diagnosed with the type 2 diabetes, associated with hyperglycemia and in half of them complications of diabetes were revealed. The age older 55 years and the low economical state were common characteristics of the diabetic patients. Tuberculosis was detected in every second diabetic patient through the radiological screening compared with the passive detection of most of the non-diabetic patients. The anti-tuberculosis treatment outcome was endangered by a higher rate of the adverse drug events in patients with diabetes, which contributed to death in 15%, lost to follow-up 7%, and therapeutic failure in 6%. Conclusions. The anti-tuberculous treatment outcome in patients diagnosed with tuberculosis and diabetes mellitus was significantly diminished by glycemic disorders, history of the previous anti-tuberculous treatment and adverse drug reactions. Individualized therapeutic approach to tuberculosis could improve the treatment effectiveness.

scholarly journals A comparative study of primary cellulitis and its local complications in lower limbs in diabetics and non-diabetics through the new Amit Jain’s staging system from India

2020 ◽  
Vol 7 (6) ◽  
pp. 1962
Author(s):  
Sharada P. B. ◽  
Rohit Krishnappa ◽  
Amit Kumar C. Jain ◽  
Hariprasad Taluru Ramachandra
Keyword(s):  
Statistical Analysis ◽  
Staging System ◽  
Lower Limbs ◽  
Diabetic Patients ◽  
Medical College ◽  
Stage 4 ◽  
Group A ◽  
Group B ◽  
A Prospective Study ◽  
Stage 1

Background: The objective of the study was to validate Amit Jain’s staging system for cellulitis in diabetic and non-diabetic lower limbs and to predict the outcomes associated with cellulitis and surgical procedures done in them.Methods: We conducted a prospective study in department of surgery at Raja Rajeswari Medical College and Hospital Bengaluru, India. The study period was from December 2018 to November 2019. Statistical analysis was done using SPSS 22 and R environment ver.3.2.2.Results: A total of 36 patients were included in this study of which 21 were diabetics and were in placed in group A and 15 were non diabetics and placed in group B. 83.3% of the patients were males. 73.3% of non-diabetics had stage 1 cellulitis and 33.3% of diabetics had stage 1 and 2 each. 47.2% of patients underwent debridement and it was significantly common in diabetics (p=0.037) and also it was common in higher stages of cellulitis (p=0.001). 8.3% had amputation in this series. All the major amputations were done in stage 4 cellulitis (p=0.002).Conclusions: In this validation study, it can be seen that cellulitis is common in both diabetics and non-diabetics but it is severe in diabetic patients. Stage 3 was more common in diabetics compared to non-diabetics. Amit Jain’s staging system of cellulitis is a simple, easy, practical, focal classification that guides therapy and predicts amputation.

Optical Coherence Tomography Angiography Features In Diabetic Patients With Unexplained Visual Loss

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Enas Ibrahiem Abdallah Ibrahiem ◽  
Weam Mohamed Ahmed Ebeid ◽  
Noureldin Hussein Abozeid ◽  
Abd AL Rahman Gaber Salman
Keyword(s):  
Statistical Analysis ◽  
Visual Loss ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Foveal Avascular Zone ◽  
Invasive Technique ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Vascular Abnormalities ◽  
Macular Ischemia

Abstract Background Diabetic macular ischemia (DMI) has a conflicting impact on visual loss in diabetics. OCTA used as a new non-invasive technique allows for identification of several anatomical and vascular abnormalities of diabetic maculopathy. Aim This study aimed to detect quantitative and qualitative OCTA data of Foveal area in diabetic patients with unexplained visual loss. Methods and Material This cross-sectional study enrolled fifteen diabetic patients with unexplained visual loss. They underwent comprehensive ophthalmological assessment, Measurement Best-Corrected Visual acuity (BCVA) using a Snellen chart converted to LogMAR for statistical analysis. And OCTA imaging of the foveal area using AngioVue OCTA. Quantitative data analysed was Foveal Avascular Zone (FAZ) area. Statistical analysis used Descriptive statistics and Pearson correlation were performed. Results A positive significant correlation was noted between LogMAR BCVA and FAZ area (p = 0.004). DMI grade showed significant positive correlation with LogMAR BCVA (p = 0.011). Conclusions The current study demonstrated the significant correlation between FAZ area measured by AngioVue OCTA and BCVA in diabetic patients with unexplained visual loss. In addition, we elucidated Diabetic Macular Ischemia (DMI) as a leading reason for visual loss in diabetic patients by itself.

Biliary Surgery in Diabetic Patients: Statistical Analysis of 189 Patients

1987 ◽  
Vol 4 (1) ◽  
pp. 37-40 ◽  
Author(s):  
R. Reiss ◽  
A.A. Deutsch ◽  
J. Nudelmann
Keyword(s):  
Statistical Analysis ◽  
Diabetic Patients ◽  
Biliary Surgery

Iris recognition under the influence of diabetes

2019 ◽  
Vol 64 (6) ◽  
pp. 683-689 ◽  
Author(s):  
Mohammadreza Azimi ◽  
Seyed Ahmad Rasoulinejad ◽  
Andrzej Pacut
Keyword(s):  
Performance Evaluation ◽  
Statistical Analysis ◽  
Software Development ◽  
Open Source ◽  
Iris Recognition ◽  
T Test ◽  
Diabetic Patients ◽  
Type Ii ◽  
Commercial Software ◽  
Iris Patterns

Abstract In this study, iris recognition under the influence of diabetes was investigated. A new database containing 1318 pictures from 343 irides – 546 images from 162 healthy irides (62% female users, 38% male users, 21% <20 years old, 61% (20) < 40 years old, 12% (40) <60 years old and 6% more than 60 years old) and 772 iris images from 181 diabetic eyes but with a clearly visible iris pattern (80% female users, 20% male users, 1% <20 years old, 17.5% (20) <40 years old, 46.5% (40) <60 years old and 35% more than 60 years old) – were collected. All of the diabetes-affected eyes had clearly visible iris patterns without any visible impairments and only type II diabetic patients with at least 2 years of being diabetic were considered for the investigation. Three different open source iris recognition codes and one commercial software development kit were used for achieving the iris recognition system’s performance evaluation results under the influence of diabetes. For statistical analysis, the t-test and the Kolmogorov-Simonov test were used.

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