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 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.

scholarly journals Leptin and Lipid Profile in Overweight Patient with Type 1 Diabetes

2017 ◽  
Vol 5 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Soha M. Abd El Dayem ◽  
Mona Abd El Kader ◽  
Soheir Ibrahim ◽  
Enas Mokhtar ◽  
Eman Abd El Megeed
Keyword(s):  
Body Mass Index ◽  
Type 1 Diabetes ◽  
Lipid Profile ◽  
Body Mass ◽  
Glycosylated Haemoglobin ◽  
The Body ◽  
Diabetic Patients ◽  
Hip Circumference ◽  
Increased Risk

AIM: To evaluate leptin and lipid profile in overweight patients with type 1 diabetes.PATIENTS AND METHODS: The study included 50 overweight patients with type 1 diabetes and 50 age and sex matched healthy controls. Blood samples were taken for evaluation of glycosylated haemoglobin, lipid profile and leptin. Also, urine samples were taken for evaluation of albumin/creatinine ratio.RESULTS: Leptin level was significantly lower in overweight with type 1 diabetes and showed a significant positive correlation with hip circumference and body mass index and negative correlation with glycosylated haemoglobin (HbA1c). Leptin level was significantly lower in overweight diabetic patients with HbA1c > 7.5 %. The best cut-off point between overweight diabetic group and control group regarding leptin levels was found at 16.9 (ng/ml) with a sensitivity of 68% and specificity of 56%, area under the curve 0.623.CONCLUSION: Leptin levels were found to be low in overweight patients with type 1 diabetes and showed correlation with the body mass index and hip circumference. LDL was significantly higher while HDL was significantly lower in the diabetic, overweight group indicating increased risk of cardiovascular disease. Leptin level in overweight diabetic patients might be related to the metabolic control.

scholarly journals Changes in Plasma Leptin during the Treatment of Diabetic Ketoacidosis

1999 ◽  
Vol 84 (12) ◽  
pp. 4545-4548 ◽  
Author(s):  
Eba H. Hathout ◽  
Jeannine Sharkey ◽  
Michael Racine ◽  
David Ahn ◽  
John W. Mace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Diabetic Ketoacidosis ◽  
Body Mass ◽  
Insulin Dose ◽  
Caloric Intake ◽  
Insulin Level ◽  
Control Group ◽  
Healthy Children ◽  
Plasma Leptin

To test the hypothesis that insulin regulates leptin, we measured the plasma leptin concentration before and during treatment of diabetic ketoacidosis (DKA), a condition characterized by extreme insulin deficiency. The study included 17 patients with type 1 diabetes (7 males and 10 females), aged 10 ± 1 yr (mean ± se), with a body mass index of 17.6 ± 1.9 kg/m2. Patients were treated with continuous insulin infusion and fluid and electrolyte replacement. Plasma leptin was measured every 6 h in the first 24 h, during which patients received a total insulin dose of 0.6–2.0 U/kg. Plasma leptin concentrations were also measured in a control group of 29 stable type 1 diabetic children (12 males and 17 females) and 25 healthy children (11 males and 14 females), aged 11 ± 1 yr, with a body mass index of 18.5 ± 1.1 kg/m2. Before treatment, plasma leptin concentrations were significantly lower in patients with DKA than those in diabetic and healthy controls (4.9± 1.2 vs. 9.0 ± 1.8 and 11.2 ± 2.1 ng/mL, respectively; P &lt; 0.05). In the DKA patients, plasma leptin increased to 6.4 ± 1.5, 7.5 ± 1.9, 9.1± 2.7, and 8.9 ± 2.5 at 6, 12, 18, and 24 h, respectively, after starting treatment (P = 0.001). Thus, leptin levels increased by 38 ± 10% and 92 ± 38% within 6 and 24 h of starting treatment. There was no difference in the change in plasma leptin by 24 h between subjects who could eat (n = 7) and those who could not (n = 10). The plasma leptin increase was paralleled by a rise in insulin level and a decline in glucose and cortisol levels at 6 and 24 h. In conclusion, DKA was associated with decreased plasma leptin concentrations. Treatment resulted in a significant increase in plasma leptin, which may be due to the effect of insulin on leptin production. Our data lend support to the hypothesis that insulin is the link between caloric intake and plasma leptin.

scholarly journals Feasibility and impact of laparoscopic sleeve gastrectomy after renal transplantation on comorbidities, graft function and quality of life.

2020 ◽  
Author(s):  
Naif Alenazi ◽  
Khaled S Ahmad ◽  
Ilham A Elsamahy ◽  
Mohamed S Essa
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Sleeve Gastrectomy ◽  
Renal Transplantation ◽  
Laparoscopic Sleeve Gastrectomy ◽  
Body Mass ◽  
Demographic Data ◽  
Graft Function ◽  
Diabetic Patients

Abstract Background The aim of this study is to clarify the feasibility and effect of laparoscopic sleeve gastrectomy (LSG) on comorbidities, graft function and quality of life in patients under went renal transplantation (RT) Methods This is a retrospective review of 5 patients who underwent laparoscopic sleeve gastrectomy (LSG) after kidney transplantation. Patients demographic data, anthropometric parameters, effect on comorbidities, postoperative course, immunosuppressive medications, cause of renal transplantation (RT), renal function, survival of graft, and post-sleeve gastrectomy quality of life in obese patients with history of renal transplantation (RT) were assessed using BAROS–Moorhead–Ardelt survey Results From September 2015 to September, 2019, 5 renal transplant patients underwent underwent laparoscopic sleeve gastrectomy (LSG); 60% were female and 40 were male with an average body mass index (BMI) before surgery of 41.28 ± 5.8 kg/m2 (range 36–55). Associated comorbidities: 100% of the patients had hypertension (HTN) and dyslipidemia (DSL), Whereas 3 patients (60%) had type 2 diabetes mellitus (T2D) and 1 patient had gout (20%). The average time between renal transplantation (RT) and laparoscopic sleeve gastrectomy (LSG) was 5.6 ± 5 years (range 3–9). Average operative duration was 61 ± 16.5 min (range 50–70), and there were neither postoperative morbidity nor mortality. At 17.9 ± 13.6 months (range 7–48) of follow-up period, body mass index (BMI) was 28.8 ± 6.3 kg/m2 (range 25–42). Regarding patients with hypertension (HTN) and dyslipidemia (DSL), improvement in blood pressure, triglyceride and cholesterol levels was observed and all cases were able to decrease their medications. Regarding diabetic patients, insulin was stopped in all patients and replaced with oral hypoglycemic medication only (linagliptin). Renal graft function and proteinuria level decreased in all cases (100%). All patients claimed to have excellent quality of life. Conclusion LSG showed excellent outcomes regarding weight reduction, improvement and resolution of comorbidities, kidney function and quality of life in this high risk group of patients.

scholarly journals FRI0415 BODY MASS INDEX AND STATIC FOOT DISORDERS IN GONARTHROSIC PATIENTS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 806.3-806
Author(s):  
K. Maatallah ◽  
M. Hfaidh ◽  
H. Ferjani ◽  
W. Triki ◽  
D. Kaffel ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Demographic Data ◽  
Navicular Bone ◽  
Hindfoot Alignment ◽  
Knee Oa ◽  
Postural Changes ◽  
Flat Feet ◽  
Foot Posture ◽  
Hindfoot Deformities

Background:Several studies have shown that there is a link between body mass index (BMI) and painful foot imputed to a biomechanical change in foot structure [1].Objectives:Our objective was to study the association between BMI and static foot disorders in gonarthrosic subjects.Methods:It was a prospective descriptive study conducted in the rheumatology department of the Mohamed Kassab Institute of Orthopedics with 60 patients with Gonarthrosis. The socio-demographic data of the patients were studied. BMI was calculated for all patients. Static foot disorders have been studied.Results:Sixty patients were included, 83.3% of whom were female. The average age was 55.2 years [38-78 years]. The disease has been evolving for an average of 6 years [1-13 years]. The lesion was bilateral in 80% of cases, the average body mass index was 30.4 kg / m2 [24-36]. Knee arthritis was classified as stage I, II and III according to the Kellgren and Lawrence classification in 18.5%, 55.6% and 25.9% of patients respectively. The foot examination involved 108 gonarthrosic limbs. Examination of the integuments showed hyperkeratosis in 94.4% of the cases (79.6% calluses and 83.3% callosities). Forefoot deformities were Hallux valgus (HV) in 52.8% of cases and overlapping toes in 18.5% of cases. Pronation deformity using the Foot Posture Index (FPI) was found in 51.9% of cases. Abnormal lowering of navicular bone was noted in 51.9%. The podoscopic impression revealed flat feet in 73.2% of the cases.A statistically significant association was found between BMI and the presence of calluses (31.21 ± 2.897 vs26.83 ± 1.425, p <0.001), with HV (31.37 ± 3.086 vs29.49 ± 2.969, p = 0.002), at the overlap of the toes (33.2 ± 1.361vs29.86 ± 1.130, p <0.001), with the lowering of the navicular bone (31.17 ± 2.885vs29.68 ± 3.304, p = 0.015), FPI (p = 0.003) and flat podoscopic impression (p <0.001).Conclusion:BMI is strongly associated with static feet disorders in gonarthrosic patients by aggravating the postural changes in the foot caused by knee osteoarthritis [2]. Obesity is associated mainly with the existence of flat feet, pronation of the foot, toes deformities and hyperkeratosis.References:[1]Steele JR, Mickle KJ, Munro B. Fat flat frail feet: how does obesity affect the older foot. XXII Congress of the International Society of Biomechanics; 2009[2]Norton AA, Callaghan JJ, Amendola A, Phisitkul P, Wongsak S, Liu SS, et al. Correlation of knee and hindfoot deformities in advanced knee OA: compensatory hindfoot alignment and where it occurs. Clin Orthop Relat Res. 2015;473(1):166-74Disclosure of Interests:None declared

scholarly journals Effects of Triphala on Lipid and Glucose Profiles and Anthropometric Parameters: A Systematic Review

2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
The Body ◽  
Current Evidence ◽  
Diabetic Patients ◽  
Anthropometric Parameters

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.

MODEST OVERWEIGHT AND HEALTHY DIETARY HABITS REDUCE RISK OF DEMENTIA: A NATIONWIDE SURVEY IN TAIWAN

2016 ◽  
pp. 1-8
Author(s):  
C.-Y. Lee ◽  
Y. Sun ◽  
H.-J. Lee ◽  
T.-F. Chen ◽  
P.-N. Wang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Dietary Habits ◽  
Demographic Data ◽  
Sugar Content ◽  
East Asian ◽  
Asian Population ◽  
Nationwide Survey ◽  
Normal Subjects ◽  
Cross Sectional

Background: Evidence of the associations of dietary habits and body mass index with dementia is inconsistent and limited in East Asian countries. Objective: We aim to explore the associations of dietary habits and body mass index with the odds of dementia. Design: Cross-sectional observational study. Setting: A nationwide, population-based, door-to-door, in-person survey. Participants: Selected by computerized random sampling from all 19 counties in Taiwan. Measurement: Diagnosis of dementia using the criteria recommended by the National Institute on Aging-Alzheimer’s Association. Lifestyle factors, dietary habits and demographic data were compared between normal subjects and participants with dementia. Results: A total of 10432 residents were assessed, among whom 2049 were classified as having a mild cognitive impairment (MCI), 929 were diagnosed with dementia, and 7035 were without dementia or MCI. After adjustment for age, gender, education, body mass index (BMI), dietary habits, habitual exercises and co-morbidities, including hypertension, diabetes and cerebrovascular diseases, we found inverse associations of dementia with the consumption of fish (OR 0.62, 95% CI 0.41-0.94), vegetables (OR 0.35, 95% CI 0.13-0.95), coffee (OR 0.59, 95% CI 0.35-0.97), green tea (OR 0.51, 95% CI 0.34-0.75) and other types of tea (OR 0.41, 95% CI 0.28-0.60). There was no association between dementia and fruit consumption. Compared with people who had a normal BMI (18 < BMI <= 24), older overweight people (24 < BMI <=30) had a reduced risk of dementia with an adjusted OR of 0.77 (95% CI 0.61-0.96). Conclusions: Our study provides preliminary evidence that suggests that the consumption of fish, vegetables, tea, and coffee has potential benefits against dementia in East Asian population. Being modestly overweight (nadir risk at BMI = 25) in late life was associated with decreased odds of dementia. The benefit of fruits may be offset by their high sugar content.

Relationship between hypoglycaemia, body mass index and quality of life among patients with type 1 diabetes: Observations from the DEPICT clinical trial programme

2020 ◽  
Vol 22 (5) ◽  
pp. 857-865
Author(s):  
Jason Gordon ◽  
Lee Beresford‐Hulme ◽  
Hayley Bennett ◽  
Amarjeet Tank ◽  
Christopher Edmonds ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Clinical Trial ◽  
Body Mass Index ◽  
Type 1 Diabetes ◽  
Body Mass ◽  
Clinical Trial Programme
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