scholarly journals The Association between Diabetes Mellitus and Keratoplasty in Poland in the Years 2013–2017

2021 ◽  
Vol 18 (18) ◽  
pp. 9767
Author(s):  
Milena Kozioł ◽  
Michał Szymon Nowak ◽  
Monika Udziela ◽  
Jacek Paweł Szaflik
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Medical History ◽  
National Database ◽  
Full Thickness ◽  
Retrospective Survey ◽  
Urgent Surgery ◽  
Comorbid Diseases ◽  
Year 2013

Background: The aim of this study is to assess the incidence and characteristic of corneal grafts and its association with diabetes mellitus in Poland in the years 2013–2017. Methods: The retrospective survey of the National Database of Hospitalizations was performed to identify all the corneal transplantations in Poland between January 2013 and December 2017. The comorbid diseases, in particular diabetes mellitus, were verified in the patients’ medical history. The logistic regression was applied to demonstrate the factors related to urgent surgeries. Results: In total, 5069 corneal grafts in 4710 patients were reported in the years 2013–2017. The number of CTs gradually increased by 37% from 914 (2.37 surgeries per one hundred thousand population) in the year 2013 to 1250 (3.25 surgeries per one hundred thousand population) in 2017, the final year of the study. CT incidence was the highest in subjects aged 70 years or older: 13.18 per one hundred thousand population in the year 2017. On average, about 22.43% of procedures were performed in patients with DM. The chance of urgent surgery was mostly correlated with full thickness CT and patients’ age. Conclusions: Despite the relatively low value of CT in Poland, there was an increasing number of CTs in the analyzed period.

Evaluating the implementation potential of a transcultural tool for Tamil migrants with gestational diabetes mellitus living in Switzerland

2017 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Online Survey ◽  
Healthcare Professionals ◽  
Binary Logistic Regression ◽  
Private Practices ◽  
Populations At Risk ◽  
Management Procedures

Background: Gestational diabetes mellitus is a condition that affects many pregnancies and ethnicity appears to be a risk factor. Data indicate that approximately 18% of Tamil women are diagnosed with gestational diabetes mellitus. Today, approximately 50,000 of Tamils live in Switzerland. To date, there is no official tool available in Switzerland that considers the eating and physical activity habits of this migrant Tamil population living in Switzerland, while offering a quick overview of gestational diabetes mellitus and standard dietetics management procedures. The NutriGeD project led by Bern University of Applied Sciences in Switzerland aimed at closing this gap. The aim of this present study was to evaluate the implementation potential of the tools developed in the project NutriGeD for dietetic counseling before their wide scale launch in Swiss hospitals, clinics and private practices. Method: An online survey was developed and distributed to 50 recruited healthcare professionals working in the German speaking region of Switzerland from October – December 2016 (31% response rate). The transcultural tools were sent to participants together with the link to the online survey. The evaluation outcome was analysed using binary logistic regression and cross tabulation analysis with IBM SPSS version 24.0, 2016. Results: 94% (N=47) respondents believed that the transcultural tools had good potential for implementation in hospitals and private practices in Switzerland. A binary logistic regression analysis revealed that the age of participants had a good correlation (42.1%) on recommending the implementation potential of the transcultural tool. The participants with age group 34- 54 years old where the highest group to recommend the implementation potential of the transcultural tool and this was found to be statistically significant (p=0.05). 74% (34 out of 50) of the respondents clearly acknowledged the need for transcultural competence knowledge in healthcare practices. 80% (N =40) of the respondents agreed that the information presented in the counseling display folder was important and helpful while 60% (N= 30) agreed to the contents being clinically applicable. 90% (N=45) participants recommended the availability of the evaluated transcultural tools in healthcare settings in Switzerland. Conclusion: The availability in healthcare practice of the evaluated transcultural tools was greatly encouraged by the Swiss healthcare practitioners participating in the survey. While they confirmed the need for these transcultural tools, feed-backs for minor adjustments were given to finalize the tools before their official launch in practice. The developed materials will be made available for clinical visits, in both hospitals and private practices in Switzerland. The Migmapp© transcultural tool can serve as a good approach in assisting healthcare professionals in all fields, especially professionals who practice in areas associated with diet - related diseases or disorders associated with populations at risk.

Factors associated with return to work after coronary artery bypass grafting (CABG)

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
A Raynaldo
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Return To Work ◽  
Coronary Artery Bypass ◽  
Functional Capacity ◽  
Artery Bypass ◽  
Bypass Graft ◽  
Factors Associated ◽  
Cabg Patients

Abstract Funding Acknowledgements Type of funding sources: None. Background. Postoperative CABG patients will generally experience improvement in symptoms and functional capacity. Post-CABG patients are expected to be productive again in order to have a positive impact on both patient and the society socio-economically, in addition to other parameters such as morbidity, mortality and serious adverse events. Purpose to determine the factors that associated with return to work in CABG patients in one General Hospital. Methods. We analyzed data from Adam Malik Hospital registry of 68 patients who had undergone CR after coronary artery bypass graft (CABG) in 2017-2020. The outcomes assessed were work status in 6 month after CABG. Patients’ characteristics, sociodemographic, clinical parameters of functional capacity using 6 minutes of walk test (6MWT), T2DM, Hypertension and cholesterol level were assessed. Factors associated with return to work were identified using multivariable logistic regression. Results We identified 68 patients undergoing isolated CABG (2017–2020). One year after discharge for CABG, 40 (58.8%) patients had returned to the workforce. Factors associated with return to work  were identified using bivariate logistic regression. Diabetes mellitus (odds ratio, 10.192; 95% confidence interval, 0.063–0.515). Conclusion Almost 2 from 3 patients after CABG returned to work within 6 months. Diabetes mellitus and functional capacity were associated with a lower likelihood of returning to work.

scholarly journals Epidemiologic Study of the Discoid Meniscus: Investigating Demographic-Based Predictors in Large-Scale Claims Database

2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0008
Author(s):  
Sahej S Randhawa ◽  
Emily P Tran ◽  
Nicole A Segovia ◽  
Theodore J Ganley ◽  
Marc Tompkins ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Total Population ◽  
Clinical Care ◽  
Epidemiologic Study ◽  
Case Series ◽  
Incidence Rates ◽  
National Database ◽  
Discoid Meniscus ◽  
Racial Categories ◽  
Claims Database

Background: Discoid meniscus epidemiology remains poorly defined for race and sex, in part, due to limitations of retrospective studies and small case series. A better understanding of epidemiology may improve clinical care and diagnostic precision. Purpose: Our purpose is to better define the epidemiology of discoid meniscus by analyzing a large, national database for incidence rates by sex and race. Methods: Analysis was conducted on the national-scale Clinformatics Data Mart Database by Optum. Proportions of the database’s racial categories (Asian, Black, Hispanic, White, and Unknown) in the total population of diagnosed discoid meniscus cases (n = 1,006) were calculated and compared via chi-squared tests to the total database population (n = 65,759,970). This analysis was repeated for the population of patients who received knee arthroscopies (81,205). Incidence rates were calculated from these populations as well. Finally, a multivariable logistic regression analysis based on the population of arthroscopy-receiving patients was performed to control for age, reported gender, and income. Results: Proportions of Asian, Black, Hispanic, and White racial categories in the discoid meniscus group were 5.7%, 7.3%, 20.6%, 66.4%, respectively; the proportions of each racial category in the total population were 5.2%, 10.3%, 13.5%, 71.0%, respectively. Incidence rates (per 10,000) for these groups in the arthroscopy population were 72.9, 25.6, 49.2, 25.6, respectively. Our logistic regression model indicated that race was not a statistically significant predictor for our dataset after income adjusting. Adjusting for other covariates, the odds of a discoid meniscus diagnosis decreased by 6% for each increase in age (p < 0.001) and were 41% lower for males compared to females (p < 0.001). Conclusion: Prior studies have suggested that race (Asian and Hispanic, is a predictor of higher incidence of discoid meniscus – this study did not show a difference in incidence based upon race. Patient sex and age was identified as significant predictors for discoid meniscus, and increasing age showed a decreasing incidence of this condition. This study’s analysis of a large, national claims database allows for a comprehensive epidemiological study on this topic, offering proportions and incidence rates by race appropriate for application to the US population. Its conclusions promote patient sex and age as significant predictors and question the beliefs on race-associated incidence often based on comparing results from the corpus of single-site cohort studies. Tables/Figures: [Table: see text]

scholarly journals Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4–7th Korea National Health and Nutrition Examination Survey

2021 ◽  
Vol 18 (11) ◽  
pp. 5597
Author(s):  
Hyerim Kim ◽  
Dong Hoon Lim ◽  
Yoona Kim
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Decision Tree ◽  
Prediction Accuracy ◽  
Nutritional Intake ◽  
Nutrition Examination Survey ◽  
Learning Models ◽  
Health And Nutrition ◽  
Machine Learning Models

Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present study aims to classify and predict associations between nutritional intake and risk of overweight/obesity, dyslipidemia, hypertension and T2DM by developing a DNN model, and to compare a DNN model with the most popular machine learning models such as logistic regression and decision tree. Subjects aged from 40 to 69 years in the 4–7th (from 2007 through 2018) Korea National Health and Nutrition Examination Survey (KNHANES) were included. Diagnostic criteria of dyslipidemia (n = 10,731), hypertension (n = 10,991), T2DM (n = 3889) and overweight/obesity (n = 10,980) were set as dependent variables. Nutritional intakes were set as independent variables. A DNN model comprising one input layer with 7 nodes, three hidden layers with 30 nodes, 12 nodes, 8 nodes in each layer and one output layer with one node were implemented in Python programming language using Keras with tensorflow backend. In DNN, binary cross-entropy loss function for binary classification was used with Adam optimizer. For avoiding overfitting, dropout was applied to each hidden layer. Structural equation modelling (SEM) was also performed to simultaneously estimate multivariate causal association between nutritional intake and overweight/obesity, dyslipidemia, hypertension and T2DM. The DNN model showed the higher prediction accuracy with 0.58654 for dyslipidemia, 0.79958 for hypertension, 0.80896 for T2DM and 0.62496 for overweight/obesity compared with two other machine leaning models with five-folds cross-validation. Prediction accuracy for dyslipidemia, hypertension, T2DM and overweight/obesity were 0.58448, 0.79929, 0.80818 and 0.62486, respectively, when analyzed by a logistic regression, also were 0.52148, 0.66773, 0.71587 and 0.54026, respectively, when analyzed by a decision tree. This study observed a DNN model with three hidden layers with 30 nodes, 12 nodes, 8 nodes in each layer had better prediction accuracy than two conventional machine learning models of a logistic regression and decision tree.

scholarly journals AB0302 FACTORS ASSOCIATED WITH GESTATIONAL DIABETES MELLITUS (GDM) IN A MULTI-ETHNIC SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) COHORT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1177.1-1177
Author(s):  
S. S. Shaharir ◽  
R. Mustafar ◽  
M. S. Mohamed Said ◽  
R. Abd Rahman
Keyword(s):  
Diabetes Mellitus ◽  
Systemic Lupus Erythematosus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Systemic Lupus ◽  
Factors Associated ◽  
In Pregnancy

Background:The risks of insulin resistance and diabetes mellitus are elevated in systemic lupus erythematosus (SLE) patients. The use of glucocorticoid and anti-double stranded DNA antibodies positive are among the factors reported to be associated with the risk of gestational diabetes mellitus (GDM) in SLE patients. However, the relationship between GDM in Asian SLE patients is still obscure.Objectives:To determine the prevalence of gestational diabetes mellitus (GDM) in a multi-ethnic SLE cohort in Malaysia and the associated risk factors.Methods:This was a retrospective study of SLE pregnant women who have completed their antenatal care in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) from 2004 until 2019. Screening and diagnosis of gestational diabetes mellitus (GDM) were as recommended in the guidelines by the Ministry of Health Malaysia. Information on SLE disease activity and treatment at 6 months before pregnancy and during pregnancy were determined from the medical records. Univariate and multi-variable logistic regression analyses were performed to determine the factors associated with GDM in the SLE patients.Results:A total of 89 patients with 202 pregnancies were included in the study. Malay was the predominant ethnic in this cohort (n=82, 67.2%), followed by Chinese (n=33,27.0%) and Indian (n=7, 5.7%). The most common system involvement of SLE was musculoskeletal (n=91, 74.6%), followed by haematological (n=78, 63.9%), lupus nephritis (54.9%, n=67) and mucocutaneous (n=66, 54.1%). The prevalence of GDM was 8.9% (n=18). More patients with GDM had positive anti-cardiolipin IgG antibody (aCL IgG) and lupus anticoagulant (LA) antibody as compared to the patients with no GDM, (55.6% vs 25.8%, p=0.01) and (50.0% vs 25.4%, p=0.05) respectively. On the other hand, the use of hydroxychloroquine (HCQ) in pregnancy was significantly lower in GDM patients (11.1%) as compared to no GDM group (39.1%), p=0.02. There was no significant difference in the ethnicity, SLE system involvement, disease activity status and immunosupressant use including steroid, azathioprine and cyclosporine A at 6 months before and during pregnancy between the GDM and non-GDM group. A forward logistic regression which include aCL IgG, LA and HCQ use in pregnancy, only the HCQ use remained significantly associated with lower risk of GDM in the model with OR= 0.12, 95% C.I = 0.02-0.94, p=0.04.Conclusion:Our study demonstrates the potential benefit of hydroxychloroquine in reducing the risk of gestational diabetes mellitus in SLE patients. The prevalence of antiphospholipid antibodies particularly aCL IgG and LA was found to be higher among patients with GDM. Further prospective studies are needed to confirm this association.References:[1]Dong Y, Dai Z, Wang Z, et al. Risk of gestational diabetes mellitus in systemic lupus erythematosus pregnancy: a systematic review and meta-analysis. BMC Pregnancy and Childbirth. 2019 May;19(1):179. DOI: 10.1186/s12884-019-2329-0.Disclosure of Interests:None declared

Association Between Opioid Use and Diabetes in Patients With Ankle Fracture Repair

2021 ◽  
pp. 107110072110581
Author(s):  
Wenye Song ◽  
Naohiro Shibuya ◽  
Daniel C. Jupiter
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Ankle Fracture ◽  
Regression Models ◽  
Fracture Repair ◽  
Opioid Use ◽  
Data Set ◽  
Opioid Prescription ◽  
Logistic Regression Models ◽  
Patients With Diabetes

Background: Ankle fractures in patients with diabetes mellitus have long been recognized as a challenge to practicing clinicians. Ankle fracture patients with diabetes may experience prolonged healing, higher risk of hardware failure, an increased risk of wound dehiscence and infection, and higher pain scores pre- and postoperatively, compared to patients without diabetes. However, the duration of opioid use among this patient cohort has not been previously evaluated. The purpose of this study is to retrospectively compare the time span of opioid utilization between ankle fracture patients with and without diabetes mellitus. Methods: We conducted a retrospective cohort study using our institution’s TriNetX database. A total of 640 ankle fracture patients were included in the analysis, of whom 73 had diabetes. All dates of opioid use for each patient were extracted from the data set, including the first and last date of opioid prescription. Descriptive analysis and logistic regression models were employed to explore the differences in opioid use between patients with and without diabetes after ankle fracture repair. A 2-tailed P value of .05 was set as the threshold for statistical significance. Results: Logistic regression models revealed that patients with diabetes are less likely to stop using opioids within 90 days, or within 180 days, after repair compared to patients without diabetes. Female sex, neuropathy, and prefracture opioid use are also associated with prolonged opioid use after ankle fracture repair. Conclusion: In our study cohort, ankle fracture patients with diabetes were more likely to require prolonged opioid use after fracture repair. Level of Evidence: Level III, prognostic.

Hepatocorbidity in psoriasis

2021 ◽  
pp. 7-11
Author(s):  
M. A. Koroleva
Keyword(s):  
Diabetes Mellitus ◽  
Psoriatic Arthritis ◽  
Mental Disorders ◽  
Cardiovascular System ◽  
Liver Damage ◽  
Liver Diseases ◽  
Hepatobiliary System ◽  
Immunological Mechanisms ◽  
Bowel Diseases ◽  
Comorbid Diseases

Тhe well-known manifestations in psoriasis include psoriatic arthritis and psoriasis of the nails, however, at present, other conditions comorbid to psoriasis have begun to be actively studied: such as liver diseases, diabetes mellitus, diseases of the cardiovascular system, obesity, mental disorders, inflmmatory bowel diseases. and joints. In addition to similar immunological mechanisms, genes have been found that are common to psoriasis and the comorbid diseases associated with it. The article provides data on dysfunctions of the hepatobiliary system in patients with psoriasis. The article reveals the results of studies conducted by foreign and domestic authors, which have shown signifiant relationships in the severity of liver damage in psoriasis.

scholarly journals Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013

2018 ◽  
Vol 134 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Elizabeth MacQuillan ◽  
Amy Curtis ◽  
Kathleen Baker ◽  
Rajib Paul
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Hot Spot ◽  
The United States ◽  
The State ◽  
Maternal Child Health ◽  
Birth Data ◽  
Birth Records

Objectives: The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. Materials and Methods: We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). Results: We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. Practice Applications: Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal–child health interventions.

scholarly journals Factors Influence Diabetes Mellitus Control at a Primary Health Care Facility in Durban, South Africa

2021 ◽  
pp. 1-8
Author(s):  
Akm Monjurul Hoque ◽  
Akm Monjurul Hoque ◽  
Somaya Buckus ◽  
Maariyah Hoque ◽  
ME Hoque
Keyword(s):  
Diabetes Mellitus ◽  
South Africa ◽  
Health Care ◽  
Logistic Regression ◽  
Primary Health Care ◽  
Glycaemic Control ◽  
Blood Sugar ◽  
Health Care Facilities ◽  
Diabetes Control ◽  
Primary Health

Background: Type-2 diabetes mellitus, a non-communicable disease contributes significantly to morbidity and mortality in South Africa. It is considered a silent epidemic in certain countries in the world with the incidence expected to rapidly escalate due to ageing of the population. Little is known about the treatment outcome from Primary Health Care facilities in SA. The study estimated control and determinants of diabetes control among rural black patients attended a PHC facility. Method: A cross-sectional prospective design was adopted. Chi-square test was carried out to find significant association between dependent and independent variables. Forward stepwise logistic regression was performed to determine the significant predictor for diabetes control. Two-sided statistical tests were performed at 0.05 level of significance. Result: A total of 240 DM patients were recruited and (68.7%) of them had HbA1c level measured) and only 49 (29.7%) were found with glycaemic control. Logistic regression analysis showed that patients those read newspaper daily or almost daily were almost three times (OR=2.6) more likely to have control. Patients those measured the blood sugar at home were 4.4 times more likely to have their diabetes controlled. It was found that knowing normal blood sugar had four times more chances of controlling their diabetes than those did not know. Duration of DM treatment (5-9 years) was 60% less likely to have DM control that those had 10 or more years of DM treatment (p<0.05). Conclusion: Glycaemic control of DM was poor and identified several factors towards diabetes control among DM patient. Training and education to healthcare workers and DM patients may lead to improve DM control.

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