scholarly journals Statistical Analysis of Major Risk Factors Affecting Glycosylated Hemoglobin Levels in Diabetic Patients

2017 ◽  
Vol 06 (04) ◽  
pp. 455-459
Author(s):  
峻瑜 江
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Glycosylated Hemoglobin ◽  
Diabetic Patients ◽  
Factors Affecting

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 Incidence and Risk Factors of Hypogonadism in Male Patients With Latent Autoimmune Diabetes and Classic Type 2 Diabetes

2021 ◽  
Vol 12 ◽  
Author(s):  
Meili Cai ◽  
Ran Cui ◽  
Peng Yang ◽  
Jingyang Gao ◽  
Xiaoyun Cheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Diabetes Management ◽  
Autoimmune Diabetes ◽  
Glycosylated Hemoglobin ◽  
Diabetic Patients ◽  
Latent Autoimmune Diabetes ◽  
Male Patients

ObjectivesThis study aimed to compare the prevalence of hypogonadism between male patients with latent autoimmune diabetes (LADA) and type 2 diabetes (T2DM) and investigate the risk factors for hypogonadism in these patients.MethodsThis cross-sectional study evaluated 367 male patients with LADA (n=73) and T2DM (n=294) who visited the endocrinology department of Shanghai Tenth People’s Hospital between January 2016 and October 2019 for diabetes management. Sex hormones, lipid profiles, sex hormone-binding globulin (SHBG), glycosylated hemoglobin A1c, beta-cell function, uric acid, and osteocalcin were determined in serum samples. Hypogonadism was defined as calculated free testosterone (cFT) less than 220 pmol/L along with the presence of symptoms (positive ADAM score).ResultsThe rate of hypogonadism in the LADA and T2DM group were 8.2, and 21.7%, respectively (p=0.017). After adjusting possible confounders, the rate of hypogonadism in the LADA group was comparable to those of the T2DM group. Univariate logistic regressions demonstrated that age, BMI, fasting C-peptide, triglycerides, total cholesterol and uric acid were associated with hypogonadism in men with diabetes, BMI, triglycerides and estradiol were independent risk for hypogonadism in men with diabetes.ConclusionThis is the first evidence to explore the rate of hypogonadism in male patients with latent autoimmune diabetes (LADA). In the population requiring admission to a large urban hospital in China, the rate of hypogonadism was comparable to those of the T2DM group after adjusting for possible confounders. BMI, triglycerides and estradiol were independently associated with the presence of HH in male diabetic patients.

scholarly journals STATISTICAL ANALYSIS OF RISK FACTORS AFFECTING THE PROGNOSIS OF BILIARY ATRESIA IN INFANTS

2017 ◽  
Vol 1 (2) ◽  
pp. 20-24 ◽  
Author(s):  
Arooma Maryam ◽  
Sadia Aslam ◽  
Sidra Saif, ◽  
Tehzeeb Aslam ◽  
Kishver Tusleem ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Biliary Atresia ◽  
Factors Affecting

scholarly journals Development and Validation of a Prediction Model for Survival in Diabetic Patients With Acute Kidney Injury

2021 ◽  
Vol 12 ◽  
Author(s):  
Manqiu Mo ◽  
Ling Pan ◽  
Zichun Huang ◽  
Yuzhen Liang ◽  
Yunhua Liao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Survival Rate ◽  
Prediction Model ◽  
Validation Cohort ◽  
Kidney Injury ◽  
Calibration Plot ◽  
Diabetic Patients ◽  
Factors Affecting

ObjectiveWe aimed to analyze the risk factors affecting all-cause mortality in diabetic patients with acute kidney injury (AKI) and to develop and validate a nomogram for predicting the 90-day survival rate of patients.MethodsClinical data of diabetic patients with AKI who were diagnosed at The First Affiliated Hospital of Guangxi Medical University from April 30, 2011, to April 30, 2021, were collected. A total of 1,042 patients were randomly divided into a development cohort and a validation cohort at a ratio of 7:3. The primary study endpoint was all-cause death within 90 days of AKI diagnosis. Clinical parameters and demographic characteristics were analyzed using Cox regression to develop a prediction model for survival in diabetic patients with AKI, and a nomogram was then constructed. The concordance index (C-index), receiver operating characteristic curve, and calibration plot were used to evaluate the prediction model.ResultsThe development cohort enrolled 730 patients with a median follow-up time of 87 (40–98) days, and 86 patients (11.8%) died during follow-up. The 90-day survival rate was 88.2% (644/730), and the recovery rate for renal function in survivors was 32.9% (212/644). Multivariate analysis showed that advanced age (HR = 1.064, 95% CI = 1.043–1.085), lower pulse pressure (HR = 0.964, 95% CI = 0.951–0.977), stage 3 AKI (HR = 4.803, 95% CI = 1.678–13.750), lower 25-hydroxyvitamin D3 (HR = 0.944, 95% CI = 0.930–0.960), and multiple organ dysfunction syndrome (HR = 2.056, 95% CI = 1.287–3.286) were independent risk factors affecting the all-cause death of diabetic patients with AKI (all p < 0.01). The C-indices of the prediction cohort and the validation cohort were 0.880 (95% CI = 0.839–0.921) and 0.798 (95% CI = 0.720–0.876), respectively. The calibration plot of the model showed excellent consistency between the prediction probability and the actual probability.ConclusionWe developed a new prediction model that has been internally verified to have good discrimination, calibration, and clinical value for predicting the 90-day survival rate of diabetic patients with AKI.

scholarly journals Determining Risk Factors That Affect Progression in Patients with Nonproliferative Diabetic Retinopathy

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dalbert J. Chen ◽  
Jacky C. Kuo ◽  
Alex J. Wright ◽  
Alice Z. Chuang ◽  
Wenyaw Chan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Diabetic Patients ◽  
Progression Rate ◽  
Factors Affecting ◽  
Duration Of Diabetes ◽  
Nonproliferative Diabetic Retinopathy ◽  
Sojourn Times ◽  
Endothelial Growth Factor

Purpose. To determine risk factors that affect nonproliferative diabetic retinopathy (NPDR) progression and establish a predictive model to estimate the probability of and time to progression in NPDR. Patients and Methods. Charts of diabetic patients who received an initial eye exam between 2010 and 2017 at our county hospital were included. Patients with proliferative diabetic retinopathy (PDR), fewer than 2 years of follow-up, or fewer than 3 clinic visits were excluded. Demographics and baseline systemic and ocular characteristics were recorded. Follow-up mean annual HbA1c and blood pressure, best-corrected visual acuity, and the number of antivascular endothelial growth factor treatments were recorded. Stage and date of progression were recorded. A 5-state nonhomogeneous continuous-time Markov chain with a backward elimination model was used to identify risk factors and estimate their effects on progression. Results. Two hundred thirty patients were included. Initially, 65 eyes (28.3%) had no retinopathy; 73 (31.7%) mild NPDR; 60 (26.1%) moderate NPDR; and 32 (13.9%) severe NPDR. Patients were followed for a mean of 5.8 years (±2.0 years; range 2.1–9.4 years). 164 (71.3%) eyes progressed during the follow-up. Time-independent risk factors affecting progression rate were age (hazard ratio (HR) = 0.99, P = 0.047 ), duration of diabetes (HR = 1.02, P = 0.018 ), and Hispanic ethnicity (HR = 1.31, P = 0.068 ). Mean sojourn times at mean age, duration of diabetes, and annual HbA1c for a non-Hispanic patient were estimated to be 3.03 (±0.97), 4.63 (±1.21), 6.18 (±1.45), and 4.85 (±1.25) years for no retinopathy, mild NPDR, moderate NPDR, and severe NPDR, respectively. Each 1% increase in HbA1c annually diminished sojourn times by 15%, 10%, 7%, and 10% for no retinopathy, mild NPDR, moderate NPDR, and severe NPDR, respectively. Conclusion. HbA1c level is a significant modifiable risk factor in controlling the progression of DR. The proposed model could be used to predict the time and rate of progression based on an individual’s risk factors. A prospective multicenter study should be conducted to further validate our model.

Evaluation of Risk Factors and Seroprevalence of Hepatitis B and C in Diabetic Patients in Kutahya, Turkey

2008 ◽  
Vol 56 (6) ◽  
pp. 858-863 ◽  
Author(s):  
Aynur Gulcan ◽  
Erim Gulcan ◽  
Aysun Toker ◽  
İsmet Bulut ◽  
Yusuf Akcan
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Hepatitis B ◽  
Enzyme Linked Immunosorbent Assay ◽  
Diabetic Patients ◽  
Factors Affecting ◽  
History Of ◽  
Shared Risk

AimTo assess the prevalence of hepatitis B and C viruses among Turkish patients with type 1 and type 2 diabetes mellitus and to determine the risk factors affecting the prevalence in these patient groups.MethodsThis study included 630 diabetic and 314 nondiabetic patients. Serologic testing for anti-hepatitis C virus (anti-HCV) and HbsAg was done using a third-generation commercial enzyme-linked immunosorbent assay, and samples positive for anti-HCV and HbsAg were confirmed by a polymerase chain reaction assay. Diabetic patients were classified by HbsAg and anti-HCV status and were evaluated according to demographic features, diabetic characteristics and nondiabetic general risk factors, harmful habits, and aminotransferase (alanine aminotransferase and aspartate aminotransferase) levels.ResultsHbsAg and anti-HCV seropositivity rates were 5.1% and 3.2% in diabetic patients and were 3.8% and 1.3% in control group, respectively. There was no statistically significant difference between the 2 groups with respect to either marker. Shared risk factors for both hepatitis infections were increased aminotransferase levels and history of hospital admission. In addition, long duration of diabetes mellitus, poor diabetic regulation, and insulin treatment usage were found to relate to HbsAg, whereas a history of blood transfusions and surgical procedures were found to associate with anti-HCV seropositivity.ConclusionsWe determined that hepatitis B virus and hepatitis C virus infections were slightly but not significantly higher in diabetic patients compared with a normal population. If it is considered that different results might be obtained in various countries or even in various regions of same country, it may be concluded that multicenter and comprehensive studies are needed to elucidate true infection rates and to identify other risk factors affecting the prevalence of these infections.

Studying the Birth Outcome in Tikrit Teaching Hospital

2018 ◽  
Vol 1 (1) ◽  
pp. 55-57
Author(s):  
Areej Noaman
Keyword(s):  
Risk Factors ◽  
Developing Countries ◽  
Teaching Hospital ◽  
Birth Outcome ◽  
Morbidity And Mortality ◽  
Healthy Baby ◽  
Factors Affecting ◽  
Neonatal Deaths ◽  
Healthy Mother

  Background : A successful birth outcome is defined as the birth of a healthy baby to a healthy mother. While relatively low in industrialized world, maternal and fetal morbidity and mortality and neonatal deaths occur disproportionately in developing countries. Aim of the Study: To assess birth outcome and identify some risk factors affecting it for achieving favorable birth outcome in Tikrit Teaching Hospital

Assessment of Risk Factors for Severe Coronavirus Disease 2019 among Iranian Patients

2020 ◽  
Keyword(s):  
Risk Factors ◽  
Immune System ◽  
Medical Records ◽  
Critical Role ◽  
Diabetic Patients ◽  
Medication History ◽  
Epidemiological Features ◽  
Hookah Smoking ◽  
And Behavior ◽  
Iranian Patients

Background: The outbreak of Coronavirus Disease 2019 (COVID-19) has led to a major concern for those who are more vulnerable to infections. Objectives: This study aimed to evaluate the most important risk factors for severe COVID-19 pneumonia. Methods: This retrospective study included information on clinical and epidemiological features of 105 patients with severe COVID-19 pneumonia hospitalized in Tajrish Hospital, Tehran, Iran. Initially, the medical records of the patients were investigated, and an interview was conducted based on a pre-prepared checklist to seek information about symptoms, past medical history, medication history, and behavior before hospitalization. Results: Out of 105 participants, 76 (72.5%) cases were male, and 54 (51.4%) patients were older than 54 years old. The majority of the patients (n=18; 17.1%) had both hypertension and diabetes (n=12; 11.4%). Metformin (n=36; 34.3%) was the most used medication amongst the studied patient. In addition, 24 (22.9%) patients were recreational hookah smokers, and the majority (75%) of them were under the age of 46 years old. Eventually, 19 patients were excluded from the study, of whom 11 individuals had diabetes, and 10 cases were using metformin. Conclusion: Apparently, hookah smoking played a critical role in the spread of COVID-19 in Iran and has made younger people more susceptible. In addition to older age, the immunosuppressive effects of Metformin seem to make diabetic patients with an impaired immune system more vulnerable to severe COVID-19 pneumonia. More studies on the immune system of vulnerable individuals by identifying their differences can help to protect them.

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