scholarly journals Body Mass Index and Retinopathy in Type 1 Diabetic Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Snježana Kaštelan ◽  
Jasminka Salopek Rabatić ◽  
Martina Tomić ◽  
Antonela Gverović Antunica ◽  
Spomenka Ljubić ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Total Cholesterol ◽  
Body Mass ◽  
Diabetic Patients ◽  
Significant Deterioration ◽  
Group 3 ◽  
Group 2 ◽  
Type 1 Diabetic Patients

Aim. To investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression.Methods.The study included 176 patients with type 1 diabetes divided into three groups according to DR status: group 1 (no retinopathy;n=86), group 2 (mild/moderate nonproliferative DR;n=33), and group 3 (severe/very severe NPDR or proliferative DR;n=57).Results. A significant deterioration of HbA1c, an increase in total cholesterol, systolic, diastolic blood pressure, and diabetic nephropathy with the progression of retinopathy were found. DR progression was correlated with diabetes duration, HbA1c, hypertension, total cholesterol, and the presence of nephropathy. In patients without nephropathy, statistical analyses showed that progression of retinopathy increased significantly with higher BMI (gr. 1: 24.03 ± 3.52, gr. 2: 25.36 ± 3.44, gr. 3: 26.93 ± 3.24;P<0.01). A positive correlation between BMI and a significant deterioration of HbA1c, an increase in cholesterol, triglycerides, and hypertension was observed.Conclusion. BMI in correlation with HbA1c, cholesterol, and hypertension appears to be associated with the progression of DR in type 1 diabetic patients without nephropathy. However, additional studies are required to investigate the pathogenic role of obesity and weight loss in retinal diabetic complications particularly relating to nephropathy.

Abstract 3147: Uric Acid Independently Predicted Acute Coronary Syndrome in a Large Cohort of Ethnic Chinese

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Shao-Yuan Chuang ◽  
Jonathan Jiunn-Horng Chen ◽  
Chih-Cheng Wu ◽  
Wen-Harn Pan
Keyword(s):  
Body Mass Index ◽  
Acute Coronary Syndrome ◽  
Uric Acid ◽  
Total Cholesterol ◽  
Body Mass ◽  
Ethnic Chinese ◽  
Coronary Syndrome ◽  
Group 4 ◽  
Group 3 ◽  
Group 2

Few studies examine the association between serum uric acid (SUA) and acute coronary syndrome (ACS). We aimed to investigate the association between SUA and ACS in a prospective study of ethnic Chinese. Enrolled were 128569 adults ≥ 20 yrs from 4 MJ Health Checkup Clinics in Taiwan during 1994 –1996, excluding those with heart disease, stroke, renal disease and cancer disease. All physical examination, biochemical test and structured questionnaire were executed in standardized central labs. ACS was defined by main ICD-9 of 410 – 414 from claim data of National Health Insurance for hospitalization and from Death certification registry. Cox proportional hazard model was used to estimate the hazard ratios (HRs) between levels of SUA and ACS events. A total of 2049 subjects (Men: 1239/Women: 810) developed ACS during the period from baseline to Dec.31.2002. Men had higher ACS incidence than women (2.84 vs. 1.61 per 1000 person-years [PY]; p < .0001). Independent risk factors of ACS unfolded from this study included age, male sex, waist circumference, body mass index, triglycerides, total-cholesterol, hypertension, diabetes, uric acid, and current smoking. The crude incidences of ACS were 1.27, 2.06, 3.27 and 4.61 per 1000 PY in that order for four consecutive SUA groups (group1: <5.0 mg/dl; group 2: 5.0 – 6.9 mg/dl; group 3: 7.0 – 8.9 mg/dl; group 4: ≥9.0 mg/dl) (p-value for trend <.0001). Compared to group1, the multi-variate adjusted HRs (95% Confidence intervals) were 1.14 (0.92, 1.42) for group 2, 1.38 (1.10, 1.72) for group 3 and 1.38 (1.10, 1.72) for group 4 among men, and 1.03 (0.87, 1.22), 1.30 (1.05, 1.62) and 1.43 (0.99, 2.05) among women after adjusting for age, systolic/diastolic BP, body mass index, triglycerides, total cholesterol, diabetes, smoking, alcohol drinking, physical activity, and occupation. One standard deviation increase in SUA corresponded to around 30% ACS risk increase in women (HR=1.33; 1.04 –1.70) and 60% in men (HR=1.59; 1.25–2.03). Baseline SUA level independently predicts the development of ACS and should be considered as a potential risk factor of ACS.

scholarly journals Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Snježana Kaštelan ◽  
Martina Tomić ◽  
Antonela Gverović Antunica ◽  
Spomenka Ljubić ◽  
Jasminka Salopek Rabatić ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Developed Countries ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Significant Deterioration ◽  
Group 2

The aim of the study was to investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy;n=296), group 2 (mild/moderate nonproliferative DR;n=118), and group 3 (severe/very severe NPDR or proliferative DR;n=131). Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50;P<0.01). We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.

GENETIC ROLE OF HLA-G14 BASE PAIR INDEL POLYMORPHIC GENE WITH TYPE 1 DIABETIC PATIENTS

2019 ◽  
Vol 22 (09) ◽  
pp. 154-160
Author(s):  
Hasanain Khaleel Shareef ◽  
Ahmed Adil Ali ◽  
Rafah F. Al-Jebori
Keyword(s):  
Base Pair ◽  
Diabetic Patients ◽  
Polymorphic Gene ◽  
Type 1 Diabetic Patients

ANALYSIS OF THE ROLE OF MTHFR C677T AND TGF-BETA C-509T POLYMORPHISMS IN TYPE 1 DIABETIC PATIENTS WITH CHRONIC RENAL FAILURE

2008 ◽  
Vol 9 (1) ◽  
pp. 109
Author(s):  
C.I. Tecuceanu ◽  
D. Cimponeriu ◽  
P. Apostol ◽  
M. Stavarachi ◽  
M. Toma ◽  
...  
Keyword(s):  
Renal Failure ◽  
Chronic Renal Failure ◽  
Mthfr C677t ◽  
Diabetic Patients ◽  
Tgf Beta ◽  
Type 1 Diabetic Patients

scholarly journals Evaluation of Metabolic and Hydroelectrolytic Disturbances in Patients Diagnosed with Diabetic Ketoacidosis

2020 ◽  
Vol 71 (1) ◽  
pp. 239-243
Author(s):  
Mariana Cornelia Tilinca ◽  
Csilla Nania ◽  
Sandor Pal ◽  
Raluca Tilinca ◽  
Monika Szabo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Diabetic Ketoacidosis ◽  
Body Mass ◽  
Metabolic Diseases ◽  
Demographic Data ◽  
Clinical State ◽  
Diabetic Patients ◽  
Urinary Infections ◽  
Metabolic Imbalance

Ketoacidosis is a life-threatening complication of diabetes mellitus, especially type 1 diabetic patients being predisposed to this condition. Ketoacidosis might occur also in other types of diabetes triggered by circumstances leading to shortage of insulin. The aim of the study was the assessment of metabolic, hydroelectrolytic disturbances and the relationship between different parameters in patients hospitalized with diabetic ketoacidosis. We evaluated the clinical state, parameters of blood-gas analyzer, biochemistry and hematology laboratory results of 32 patients admitted with diabetic ketoacidosis between January-November 2018 at the Department of Diabetology, Nutrition and Metabolic Diseases of the Emergency County Hospital in T�rgu Mureș. Demographic data, associated diseases, body mass index were also evaluated. The considered threshold of significance was 0.05. The distribution of type 1 and 2 diabetes was 40.6 and 46.9% in the studied group, 53.1% being male patients. Positive correlation could be observed between pH and base excess and between pH and bicarbonate values, while negative correlation could be found between triglyceridemia and body mass index (BMI). Severe hyperglycemia, very low pH values, glucosuria, ketonuria and electrolytic imbalances were very common in the studied patients. Pancreatitis, respiratory tract and urinary infections could be found in the background of ketoacidotic manifestations in the majority of the patients, dehydration occured in each of the cases. Many severe metabolic and hydroelectrolytic disturbances could be observed in the studied patients presenting diabetic ketoacidosis. Infectious diseases are the most common triggers of metabolic imbalance in diabetic patients.

scholarly journals Investigation of the effect of body mass index (BMI) on semen parameters and male reproductive system hormones

2017 ◽  
Vol 89 (3) ◽  
pp. 219 ◽  
Author(s):  
Mehmet Zeynel Keskin ◽  
Salih Budak ◽  
Evrim Emre Aksoy ◽  
Cem Yücel ◽  
Serkan Karamazak ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sperm Count ◽  
Reproductive Hormones ◽  
Semen Parameters ◽  
Total Testosterone ◽  
Significant Difference ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Aim: To evaluate the effects of body mass index (BMI) ratio on semen parameters and serum reproductive hormones. Materials and methods: The data of 454 patients who prsented to male infertility clinics in our hospital between 2014 and 2015 were analyzed retrospectively. Weight, height, serum hormone levels and semen analysis results of the patients were obtained. BMI values were calculated by using the weight and height values of the patients and they were classified as group 1 for BMI values ≤ 25 kg/m2, as group 2 for BMI values 25-30 kg/m2 and as group 3 for BMI values ≥ 30 kg/m2. Results: The mean values of BMI, semen volume, concentration, total motility, progressive motility, total progressive motile sperm count (TPMSC), normal morphology according to Kruger, head abnormality, neck abnormality, tail abnormality, FSH, LH, prolactin, T/E2, total testosterone and estradiol parameters of the patients were considered. Patients were divided according to BMI values in Group 1 (n = 165), Group 2 (n = 222) and Group 3 (n = 56). There was no statistically significant difference in terms of all variables between the groups. Conclusions: We analyzed the relationship between BMI level and semen parameters and reproductive hormones, demonstrating no relationship between BMI and semen parameters. In our study, BMI does not affect semen parameters although it shows negative correlation with prolactin and testosterone levels.

The importance of laboratory tests and Body Mass Index in the diagnosis of acute appendicitis

2020 ◽  
Vol 92 (5) ◽  
pp. 1-5
Author(s):  
Atakan Ozkan ◽  
Aylin Hande Gokce ◽  
Feridun Suat Gokce
Keyword(s):  
Body Mass Index ◽  
Acute Appendicitis ◽  
Body Mass ◽  
The Body ◽  
Distribution Width ◽  
Lymphocyte Ratio ◽  
Group 4 ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

<b>Background:</b> Acute appendicitis is the most common cause of acute abdomen. Delay in diagnosis increases the mortality and morbidity. <br><b>Aim: </b>In this study, we aimed to investigate whether the body mass index is useful in diagnosis and whether the neutrophil /lymphocyte and platelet/lymphocyte ratios can help in determining the inflammation level of acute appendicitis. <br><b>Meterial and Methods:</b> Cases of appendectomy performed between June 2012 and December 2018 in our clinic were analyzed retrospectively. Based on the pathology results of the cases included in the study, 4 groups were formed, i.e.: Group 1 (initial stage), Group 2 (catarrhal stage), Group 3 (phlegmonous-gangrenous stage) and Group 4 (perforation). The study compared age, body mass index, leukocyte values, red cell distribution width (RDW), neutrophil/lymphocyte ratio (NLR), platelet /lymphocyte ratio (PLR), and mean platelet volume (MPV) between groups. <br><b> Results:</b> 828 cases were included in the study. When compared between groups, the values of Group 3 and Group 4 were higher than those of Group 1 and Group 2 for PLR and NLR. There was no difference in RDW and MPV values in the blood. When Body Mass Index (BMI) was compared between groups, it was found to be significantly higher with increasing histopathological stage. <br><b>Conclusion:</b> In acute appendicitis, the blood leukocyte value, elevated PLR and NLR are helpful in diagnosis. We aimed to emphasize that the diagnosis of acute appendicitis is delayed in patients with a BMI above 30 and/or at age of over 40 years, with the perforation rate being determined more frequently.

scholarly journals Diabetes during Pregnancy: Influence of Body Mass Index on Composite Morbidity

2017 ◽  
Vol 07 (02) ◽  
pp. e128-e133
Author(s):  
Amy O'Neil Dudley ◽  
Zachary Jenner ◽  
Hector Mendez-Figueroa ◽  
Viviana Ellis ◽  
Suneet Chauhan
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fourth Degree ◽  
Arterial Ph ◽  
Maternal And Neonatal Outcomes ◽  
Group 3 ◽  
Group 2 ◽  
Umbilical Arterial Ph ◽  
Diabetes And Obesity ◽  
Group 1

Objective This study aims to compare composite maternal and neonatal morbidities (MM, NM) among pregnant women with diabetes mellitus whose body mass index (BMI) at delivery was < 30 (group 1), 30.0 to 39.9 (group 2), and ≥ 40 kg/m2 (group 3). We hypothesized that increased BMI class at delivery would be associated with worsening maternal and neonatal outcomes. Methods This is a retrospective cohort study. MM was defined as: chorioamnionitis, wound infection, eclampsia, diabetic ketoacidosis, hypoglycemia admission, third/fourth degree laceration, and/or death. NM was defined as umbilical arterial pH < 7.0, 5 minute Apgar < 4, respiratory distress syndrome, mechanical ventilation, neonatal sepsis, stillbirth, and/or death. Odds ratios were adjusted for possible confounders. Results MM was noted in 8, 13, and 24% of groups 1, 2, and 3, respectively, and significantly more common in group 2 versus 1 (adjusted odds ratio [aOR]: 1.66) and group 3 versus 1 (aOR: 3.06). NM was noted in 7, 8, and 15% of each BMI group, respectively, and differed significantly between group 3 vs. 2 (aOR: 1.77). Conclusions The increased rate of morbidities between the BMI groups is useful to inform diabetic women and highlights the need for further investigation of diabetes and obesity as comorbidities in pregnancy.

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