scholarly journals Utilizing diabetes mellitus risk assessment tool in screening of hemodialysis patients at risk of diabetes mellitus

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Osama Azoubi ◽  
Tarek Abdullatif ◽  
Abdullah Hamad ◽  
Tarek Fouda ◽  
Sahar M Ismail ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Assessment Tool ◽  
Risk Group ◽  
Dialysis Patients ◽  
Group Score ◽  
History Of

Background: Hamad General Hospital is the main provider of hemodialysis (HD) in Qatar, for approximately 650 patients per year. Over 60% of these patients have Diabetes Mellitus (DM) and 55% of them suffer from end stage renal disease (ESRD). 2% of ESRD patients develop DM after their first year of dialysis. The aims of this quality improvement study were early DM detection, risk factors modifications, and reduction of diabetes complications in our patients. Methods: A risk assessment tool was adapted to identify the risk level of HD patients to develop DM. They were screened to determine their risk score across 8 categories. Six categories (gender, history of gestational diabetes, family history of high blood pressure, diabetes, physical activity and smoking) were scored 0 to 1, age was scored 0 to 3, and relationship between weight and height scored 1 to 3. (Overall score range: 1-12). Patients were classified into two groups: a low-risk group (score < 5) and a high-risk group (score ≥ 5). Patients were referred to different medical specialties for further management according to the risk factor and a lifestyle modification management plan was set individually. Results: 189 non-diabetic dialysis patients were screened in the first quarter of 2020, their mean age was 51 years-old, and 69% were male. Forty-three percent of patients were found to be at high risk of developing DM. The most important risk factors were family history (55%), obesity (40%), age >60 years (32%), low physical activity (14%), and smoking (11%). Thirty-seven percent of patients were referred to the obesity clinic, 10% to the smoking cessation clinic, 5% to physiotherapy, and 100% of patients were referred to the multidisciplinary care. Conclusion: Screening for diabetes is pivotal for early detection and risk factor modification in dialysis patients. We recommend quarterly data assessment and evaluation so patients can be managed according to the findings.

Components of a risk assessment tool for prevention and control of bovine respiratory disease in preweaned dairy calves

2020 ◽  
pp. 1-7
Author(s):  
Sharif S. Aly ◽  
Betsy M. Karle ◽  
Deniece R. Williams ◽  
Gabriele U. Maier ◽  
Sasha Dubrovsky
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Respiratory Disease ◽  
Scoring System ◽  
Prevention And Control ◽  
Assessment Tool ◽  
Bovine Respiratory Disease ◽  
And Control ◽  
Management Changes

Abstract Bovine respiratory disease (BRD) is the leading natural cause of death in US beef and dairy cattle, causing the annual loss of more than 1 million animals and financial losses in excess of $700 million. The multiple etiologies of BRD and its complex web of risk factors necessitate a herd-specific intervention plan for its prevention and control on dairies. Hence, a risk assessment is an important tool that producers and veterinarians can utilize for a comprehensive assessment of the management and host factors that predispose calves to BRD. The current study identifies the steps taken to develop the first BRD risk assessment tool and its components, namely the BRD risk factor questionnaire, the BRD scoring system, and a herd-specific BRD control and prevention plan. The risk factor questionnaire was designed to inquire on aspects of calf-rearing including management practices that affect calf health generally, and BRD specifically. The risk scores associated with each risk factor investigated in the questionnaire were estimated based on data from two observational studies. Producers can also estimate the prevalence of BRD in their calf herds using a smart phone or tablet application that facilitates selection of a true random sample of calves for scoring using the California BRD scoring system. Based on the risk factors identified, producers and herd veterinarians can then decide the management changes needed to mitigate the calf herd's risk for BRD. A follow-up risk assessment after a duration of time sufficient for exposure of a new cohort of calves to the management changes introduced in response to the risk assessment is recommended to monitor the prevalence of BRD.

scholarly journals Prediction of the risk of developing diabetes mellitus among Bangladeshi adults by using risk assessment score

2019 ◽  
Vol 10 (1) ◽  
pp. 40-47
Author(s):  
Nazma Akter
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Blood Glucose ◽  
High Risk ◽  
Risk Score ◽  
Diabetes Risk ◽  
High Blood Glucose ◽  
History Of ◽  
Diabetes Risk Score

Background: Diabetes mellitus (DM) is considered as one of the major health problems worldwide. The rising prevalence of type 2 diabetes mellitus (T2DM) in Bangladesh is primarily attributed to rapid urbanization and associated changes in lifestyle, such as sedentary lifestyle, higher calorie food intake and stressful life. Studies support the utilization of riskassessment scoring systems in quantifying individual’s risk for developing T2DM. Thus, a simple risk-assessment scoring system for early screening of T2DM among Bangladeshi adults will be beneficial to identify the high-risk adults and thus taking adequate preventive measures in combating DM.The purpose of the study was to calculate the risk assessment score of developing T2DM within 10 years among Bangladeshi adults. Methods: The cross-sectional observational study was carried out in the outpatient department (OPD) of Medicine, MARKS Medical College & Hospital, a tertiary care hospital in Dhaka, Bangladesh from February 2018 to July 2018 among randomly sampled 205 adult subjects. Subjects undiagnosed with diabetes mellitus and had previous history of high blood glucose during pregnancy or other health examination (i.e. impaired fasting glucose, impaired glucose tolerance or gestational diabetes mellitus) were included. From a review of literature regarding risk factors of developing DM in Bangladesh, the Finnish Diabetes Risk Score (FINDRISC) system was found to be more useful for the Bangladeshi adults. The Finnish Diabetes Risk Score (FINDRISC) questionnaire was used to collect the data including demographic characteristics and different risk factors and to calculate total risk score for predicting the risk of developing T2DM within 10 years. Results: Among 205 subjects, male and female were 57.1% and 42.9% respectively. The Mean (±SD) age of the study subjects was 37.64±1.07 years. In this study, both non-modifiable and modifiable risk factors showed statistically significant association with the FINDRISC among Bangladeshi adults (p<0.05). There was a significant association among FINDRISC with history of previous high blood glucose, and treated hypertensive Bangladeshi adults.33.65% of the Bangladeshi adults had slightly elevated diabetes risk score (DRS). This study predicts that 17.55% of the Bangladeshi adults may have moderate to high risk to develop T2DM within the consecutive 10 years. Conclusion: This study provides a simple, feasible, non-invasive and convenient screening FINDRISC tool that identifies individuals at risk of having T2DM. People with high risk of DM should be referred for early intervention and changes to a healthy lifestyle and primary prevention to prevent or delay the onset of T2DM. Birdem Med J 2020; 10(1): 40-47

scholarly journals Screening of Hemoglobin A1c in Gestational Diabetes among women attending metabolic clinic at a tertiary care hospital in Uttar Pradesh

2019 ◽  
Vol 10 (2) ◽  
pp. 26-30
Author(s):  
Vivek Sinha ◽  
Poonam Kachhawa
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
P Value ◽  
Close Monitoring ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a common medical condition that complicates pregnancies..Gestational diabetes mellitus (GDM) is a diabetic metabolic disorder that occurs in 4% of all pregnant women and 14% of ethnic groups with more prevalence of type II diabetes. It can be defined as increased or abnormal insulin resistance, decreased insulin sensitivity or glucose intolerance with first diagnosis during pregnancy. Aims and Objectives: The purpose of this study was to evaluate the diagnostic screening value of the HbA1c, prevalence of GDM and associated risk factors. Materials and Methods: The study was conducted at the metabolic clinic; in the department of Biochemistry located at SIMS, Hapur. A semi-structured pretested questionnaire was used for data collection. Following the DIPSI guidelines, patients with plasma glucose values >140 mg/dl were labeled as GDM. Statistical methods used were OR (CI95%), percentage, Chi square. Results: Out of 500, 6.72% had GDM. Among all GDM patients, 64.71% had age more than 30 years, 70.59% had BMI more than 25, 41.18% had gravida more than 3 and p- value was significant with regard to age and BMI. P value was found to be significant for risk factors namely positive family history of Diabetes Mellitus, history of big baby and presence of more than one risk factor. Conclusion: GDM is associated with high BMI, early pregnancy loss, family history of DM and previous history of big baby and there could be more than one risk factor. Thus universal screening followed by close monitoring of the pregnant women for early detection of GDM may help improving maternal and fetal outcomes.

BATTERER RISK ASSESSMENT: THE MISSING LINK IN BREAKING THE CYCLE OF INTERPERSONAL VIOLENCE

2017 ◽  
Vol 26 (1) ◽  
pp. 93-116
Author(s):  
Marcel P Londt
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Interpersonal Violence ◽  
Assessment Tool ◽  
Intimate Violence ◽  
Violent Behaviour ◽  
Need For Treatment ◽  
Treatment Providers ◽  
History Of ◽  
Item Data

Batterers exposed to childhood violence, with a history of violent behaviour, are impulsive, have poor anger management skills, will use intimate violence in their relationships and ignore/violate protection orders. In this study, 53 male and 47 female respondents were selected using purposive sampling. The outcome highlighted the need for treatment providers to assess ‘risk factors’ of batterers prior to any intervention. The results showed that batterers presenting with specific risk factors, posed significant risks to their intimate partners. Risk assessment and risk markers could therefore contribute to highlighting and addressing violent masculinity aspects, responsive to intervention. This approach could protect partners and encourage batterers to take responsibility for changing their abusive responses in intimate relationships. The methodological framework of this research project was informed by the Intervention Research: Design and Development. The author used a Canadian Risk Assessment Tool, the Spousal Assault Risk Assessment guide (SARA), a 20 item data collecting instrument used to ‘assess risk’ and ‘predict dangerousness’ of continued violence in men with a history of domestic/intimate violence.

Can prognostic factors identify women receiving anthracycline plus cyclophosphamide-based chemotherapy (MEC) who do not require an NK1 receptor antagonist?

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e20502-e20502
Author(s):  
D. Warr ◽  
J. C. Street ◽  
A. D. Carides
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Prognostic Factors ◽  
Receptor Antagonist ◽  
Motion Sickness ◽  
Risk Group ◽  
Low Risk ◽  
Phase Iii ◽  
Morning Sickness ◽  
History Of

e20502 Background: Age, alcohol use, and history of sickness associated with pregnancy or motion have been identified as risk factors for chemotherapy-induced emesis. This post hoc analysis addressed two questions: 1) Can prognostic factors identify a low risk group for whom ondansetron (OND) plus dexamethasone [D] alone provide a high level of protection (≥80% no emesis)? 2) Does the NK1 receptor antagonist aprepitant improve antiemetic outcome regardless of emetic risk? Methods: The analysis was based upon outcomes in patients with breast cancer enrolled in a Phase III double-blind, placebo-controlled trial randomized to Day 1 OND 8 mg and D 20 mg before chemotherapy and OND 8 hours later and OND 8 mg bid Days 2–3 vs. Day 1 aprepitant 125 mg PO, OND 8 mg, and D 12 mg before chemotherapy and OND 8 mg 8 hours later and aprepitant 80 mg PO qd Days 2–3. Multivariate logistic regression models were used to assess the impact on emesis of the regimen with aprepitant, and previously reported risk factors, including age (<55 and ≥55 years), ethanol use (0–4 or ≥5 drinks/week), history of pregnancy-related morning sickness, and history of motion sickness, using a modified intent-to-treat approach. Results: 856 patients were assessed for efficacy. Treatment with aprepitant (p<0.0001), older age (p=0.006), ethanol use (p=0.0048), and no history of morning sickness (p=0.0007) were all significantly associated with reduced likelihood of emesis; motion sickness was not a risk factor. The Table below shows the probability of no emesis associated with the presence of 0, 1, 2, or all of these factors in the aprepitant and active control arms. Conclusions: 1) The low-risk group identified by this analysis is of questionable utility because it comprised less than 3% of patients. 2) We could not confirm that motion sickness was a significant risk factor. 3) Aprepitant improved the control of emesis irrespective of the number of risk factors for emesis. [Table: see text] [Table: see text]

scholarly journals Health-Risk Transition and 8-Year Hypertension Incidence in a Nationwide Thai Cohort Study

2018 ◽  
Vol 10 (2) ◽  
pp. 99
Author(s):  
Prasutr Thawornchaisit ◽  
Fredinandus De Looze ◽  
Christopher M Reid ◽  
Sam-ang Seubsman ◽  
Adrian Sleigh
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Factor ◽  
Cohort Study ◽  
Kidney Disease ◽  
Health Risk ◽  
Soft Drink ◽  
Health Risk Factors ◽  
Household Asset

OBJECTIVE: Rapid economic growth is transforming Thailand into a middle-income country. Also emerging are chronic diseases particularly hypertension, diabetes mellitus and kidney disease. There are few studies of the incidence of hypertension. We analyse the effect on 8-year incidence of hypertension of transitional health-risk factors including demography, socioeconomic status (SES), body mass index (BMI), sedentariness, physical activity, underlying diseases, personal behaviours, food, fruit and vegetable consumption.DESIGN & METHODS: Health-risk factors and their effects on the incidence of hypertension were evaluated prospectively in the national Thai Cohort Study from 2005 to 2013. All data were derived from 40,548 Sukhothai Thammathirat Open University students returning mail-based questionnaire surveys in both 2005 and 2013. Adjusted relative risks of association between each risk factor and incidence of hypertension were calculated after controlling for confounding factors.RESULTS: In Thailand, the 8-year incidence of hypertension was 5.1% (men 7.1%, women 3.6%). Hypertension was associated with ageing, higher BMI, diabetes mellitus, chronic kidney disease, high lipids, SES, lower education level, lower household asset, physical inactivity, smoking, instant food intake and soft drink. Sex, having a partner, urbanization and sedentary habits had no influence on hypertension.CONCLUSION: In Thailand, hypertension is becoming a serious risk factor for chronic disease with a wide array of associations with modern life. As Thailand’s socio-economy develops the health-risk transition will further impact on population health. Thais should be encouraged by government policy to consume less instant food, maintain normal BMI, increased physical activity, stop smoking and consume less soft drink.

scholarly journals A Simple and Cheap Hospitalization Risk Assessment Tool for Use in Hemodialysis Patients

2018 ◽  
Vol 46 (4) ◽  
pp. 265-268
Author(s):  
Muhammad Nauman Hashmi ◽  
Hammad Raza ◽  
Wael Elshazly ◽  
Fayez Hejaili ◽  
Abdullah Al Sayyari
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Vascular Access ◽  
Assessment Tool ◽  
Risk Group ◽  
Hemodialysis Patients ◽  
High Risk Group ◽  
Low Risk ◽  
Group Score ◽  
Hospitalization Rates

Objective: To develop a simple, objective, cheap scoring tool incorporating nutritional parameters and other variables to predict hospitalization and mortality among hemodialysis patients – a tool that could be utilized in low resource countries. Methods: The following variables were scored according to severity into 0, 1, 2 or 3: BMI, functional capacity, HD vintage in years, serum albumin, serum ferritin, and the number of comorbid conditions (diabetes mellitus, hypertension, ischemic heart disease, cerebrovascular disease). This tool was evaluated on our regular hemodialysis patients who were followed up for 24 months (June 2015 till July 2017). In our study population, the maximum score recorded was 12; accordingly, a score of 6 was used to differentiate between a low-risk group (score < 6) or a high-risk group (score ≥6). The 2 groups were compared (using the Chi square test) for possible differences in mortality and hospitalization rates during the follow-up period. Results: One hundred and forty adult hemodialysis patients were monitored over 2 years; 83 were males and 57 females; 59% of the patients had diabetes mellitus. Twenty-nine patients (30.7%) were found to be in the high-risk group and 111 (79.3%) in the low-risk group. The high-risk patients were almost one and a half times more likely to be hospitalized for vascular access issues than the low-risk group (p = 0.056) and 3 times more likely to be hospitalized for non-vascular access issues than the low-risk group (p = 0.0001). The mortality rate in the high-risk group was 3.1 times that in the low-risk group, but this was not statistically significant. Conclusion: Using a simple and cheap assessment tool in hemodialysis patients, we have identified patients at high risk for hospitalization rates and mortality. Video Journal Club “Cappuccino with Claudio Ronco” at http://www.karger.com/?doi=490544.

scholarly journals Analysis of the Influence of Risk Factors of Type 2 DM on Outpatients at DKT Bandar Hospital Lampung, 2020

2021 ◽  
Vol 4 (2) ◽  
pp. 4-14
Author(s):  
Feby Esmiralda ◽  
Aila Karyus ◽  
Kodrat Pramudho
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Univariate Analysis ◽  
Bivariate Analysis ◽  
P Value ◽  
History Of

DM is a chronic metabolic disease characterized by hyperglycemia and cause serious complications with an increasing prevalence rate. Control of risk factors that affect the incidence of DM is needed to prevent the emergence of DM and delay disease complications. The purpose of this study is to determine the risk factors that influence the incidence of type 2 diabetes outpatients at the DKT Bandar Lampung Hospital. This type of research is quantitative observational analytic with a case control approach. The population came from all patients undergoing outpatient treatment at the Internal Medicine Department of the DKT Hospital in Bandar Lampung with 44 case samples and 44 control samples. Data analysis used univariate analysis with percentages, bivariate analysis with Chi Square and multivariate analysis with multiple logistic regression. The results showed that there was a significant influence between the risk factors for age (p value 0.017), hereditary history of diabetes (p value 0.03), physical activity (p value 0.002) and obesity (p value 0.001) with the incidence of type 2 diabetes, while a history of hypertension has no effect on the incidence of type 2 diabetes mellitus (p value 0.135). Meanwhile, the most dominant variable influencing the incidence of outpatient type 2 diabetes mellitus at DKT Bandar Lampung Hospital is physical activity with OR 5.29. Maximum promotive, preventive, curative and rehabilitative efforts are needed to control risk factors for type 2 diabetes

scholarly journals Whom Should We Test for COVID-19? Performance of a Symptom and Risk Factor Questionnaire on COVID-19 Test Results and Patient Outcomes in an Immediate Care Setting

2020 ◽  
Vol 11 ◽  
pp. 215013272098129
Author(s):  
Lauren Oshman ◽  
Amanda Caplan ◽  
Raabiah Ali ◽  
Lavisha Singh ◽  
Rabeeya Khalid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
High Risk ◽  
Effect Size ◽  
Care Setting ◽  
Risk Group ◽  
Low Risk ◽  
Risk Patients ◽  
Assessment Questionnaire

Introduction: The CDC and Illinois Department of Public Health disseminated risk factor criteria for COVID-19 testing early in the pandemic. The objective of this study is to assess the effectiveness of risk stratifying patients for COVID-19 testing and to identify which risk factors and which other clinical variables were associated with SARS-CoV-2 PCR test positivity. Methods: We conducted an observational cohort study on a sample of symptomatic patients evaluated at an immediate care setting. A risk assessment questionnaire was administered to every patient before clinician evaluation. High-risk patients received SARS-CoV-2 test and low-risk patients were evaluated by a clinician and selectively tested based on clinician judgment. Multivariate analyses tested whether risk factors and additional variables were associated with test positivity. Results: The adjusted odds ratio of testing positive was associated with COVID-19-positive or suspect close contact (aOR 1.56, 95% CI 1.15-2.10), large gathering attendance with a COVID-19-positive individual (aOR 1.92, 95% CI 1.10-3.34), and, with the largest effect size, decreased taste/smell (aOR 2.83, 95% CI 2.01-3.99). Testing positive was associated with ages 45-64 and ≥65 (aOR 1.75, 95% CI 1.25-2.44, and aOR 2.78, 95% CI 1.49-5.16), systolic blood pressures ≤120 (aOR 1.64, 95% CI 1.20-2.24), and, with the largest effect size, temperatures ≥99.0°F (aOR 3.06, 95% CI 2.23-4.20). The rate of positive SARS-CoV-2 test was similar between high-risk and low risk patients (225 [22.2%] vs 50 [19.8%]; P = .41). Discussion: The risk assessment questionnaire was not effective at stratifying patients for testing. Although individual risk factors were associated with SARS-CoV-2 test positivity, the low-risk group had similar positivity rates to the high-risk group. Our observations underscore the need for clinicians to develop clinical experience and share best practices and for systems and payors to support policies, funding, and resources to test all symptomatic patients.

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