Predictors Of Diabetes Mellitus Research Articles

Triglyceride glucose-waist circumference as a useful predictor for diabetes mellitus: a secondary retrospective analysis utilizing a Japanese cohort study

Background and objectiveWhile the connection between the Triglyceride glucose-waist circumference (TyG-WC) index and the risk of diabetes remains understudied, this particular research delves into the potential predictive value of the TyG-WC index within a significant Japanese population.MethodsThis retrospective cohort study encompassed a comprehensive analysis of 15,413 Japanese adults, all of whom were diabetes-free at the outset of the study period from 2004 to 2015. Comprehensive medical records were obtained for all participants who underwent physical examinations. The study employed Cox proportional-hazards regression, smooth curve fitting, various sensitivity, and subgroup analyses to explore the association between TyG-WC and the development of diabetes. Furthermore, a Receiver Operating Characteristic (ROC) curve was created to detect the predictive capability of TyG-WC for diabetes risk.ResultsAfter a maximum of 13.0 years of follow-up, 358 people finally developed diabetes. Upon adjusting for covariates, the result showed TyG-WC was positively and independently associated with incident Diabetes Mellitus (DM) (Hazard Ratio (HR): 1.004, 95%C: 1.001–1.006). Furthermore, ROC curve analysis demonstrated that TyG-WC outperformed both the triglycerides-glucose index and triglyceride glucose-body mass index in predicting the onset of diabetes.ConclusionHigh levels of TyG-WC are autonomously linked to a heightened risk of diabetes in the Japanese demographic, indicating its potential as a dependable predictive indicator for diabetes mellitus in individuals at elevated risk.

Frequency and Predictors of Diabetes Mellitus in Smear-Positive Pulmonary Tuberculosis Patients: A Cross-Sectional Study.

Introduction Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. Various studies have established an association between diabetes mellitus (DM) and pulmonary TB. This study describes the prevalence of DM and its predictors in smear-positive TB patients. Methods This descriptive cross-sectional study was conducted at the Department of Chest Medicine at Jinnah Postgraduate Medical Centre (JPMC), Karachi, Pakistan, from December 2015 to June 2016. The inclusion criteria were as follows: drug-sensitive pulmonary TB patients of either gender, age ≥ 18 years, registered at the TB clinic JPMC, who consented to participate in the study. Pregnant/lactating patients, drug-resistant TB patients, and those who did not consent to participate in the study were excluded. Fasting blood sugar (FBS) and glycated hemoglobin (HbA1c) were done for all patients included in the study. Sociodemographic data, along with FBS, random blood sugar (RBS), and HbA1c, were entered in a pre-designed proforma. A sedentary lifestyle was recorded as a subjective measure of the proforma. Diabetes was diagnosed if FBS was ≥126 mg/dL or HbA1c was ≥6.5%. Results Out of 100 TB patients included in the study, 18 (18%) were diagnosed with diabetes. Patients who were smokers, had a sedentary lifestyle, and had a family history of diabetes had a significantly high prevalence of diabetes (p-value < 0.0001). Age, gender, and body mass index (BMI) did not influence the prevalence of diabetes in TB patients. Conclusion The study revealed an increased occurrence of diabetes among patients with smear-positive pulmonary TB. Diabetes is more common in TB patients who smoke, have a sedentary lifestyle, and those who have a family history of diabetes. A comprehensive management plan shall be in place to cater to TB and diabetes comorbidity, including effective management of TB and optimal glycemic control.

Sirtuin, irisin, and vitamin D as predictors of diabetes mellitus with uncontrolled glycemia in Indonesian patients

Sirtuin, irisin, and vitamin D as predictors of diabetes mellitus with uncontrolled glycemia in Indonesian patients

Incidence and predictors of diabetes mellitus: A 7- year community cohort follow-up of urban, adult Sri Lankans

Incidence and predictors of diabetes mellitus: A 7- year community cohort follow-up of urban, adult Sri Lankans

Wellness Program on Weight Loss, Fasting Blood Sugar and Cholesterol Levels in Workers

The wellness program is a health program that can be used to prevent non-communicable diseases in company workers. Obesity and high blood sugar can be predictors of diabetes mellitus. High cholesterol levels in workers can cause other complications such as heart disease or even stroke which can reduce performance.The aim of this study was to assess changes in body weight, fasting blood sugar levels, and cholesterol before and after the wellness program. In this study, the sample used was workers at PT Pertamina Refinery Unit III Plaju who had taken part in a wellness program. The research period took place from January to July 2023. Sample collection used a total sampling technique with a retrospective cohort design. Body weight, fasting blood sugar and cholesterol levels were measured on workers before and after implementing the wellness program. After data collection was carried out, the bivariate data was analyzed using the Wilcoxon test with the SPSS program. This study found that there was a significant difference between body weight with a p-value of 0.000 and a p-value of 0.000 for cholesterol levels before and after the wellness program. There was no significant difference between fasting blood sugar levels before and after the wellness program with a p-value of 0.783. Wellness programs can reduce body weight and cholesterol levels in workers.

Red Cell Distribution Width and Prediabetes in Adults in Northern Sudan: A Case-Control Study.

Diabetes mellitus (DM) is a major public health issue worldwide. Red cell distribution width (RDW) has been reported to have predictive value in several diseases, including DM. Few data exist on the association between RDW and the prediabetic stage. Thus, the present study aimed to investigate the association between RDW and prediabetes in adults in Sudan. This case-control study was conducted in Northern Sudan in 2022. The cases (n = 107) were prediabetic patients categorized according to the level of glycated hemoglobin (HbA1c), which ranged from 5.7% to 6.4%, while the controls (n = 107) were healthy participants. A questionnaire was used to collect the data. Standard methods were used to measure the HbAIc level and RDW. Logistic regression analysis was performed. The median (interquartile range (IQR)) of the RDW was significantly higher in prediabetic patients than in the controls (14.5% [13.8-15.3%] vs. 14.1% [13.6-14.7%], p = 0.003). Sex, educational level, occupational status, marital status, cigarette smoking, alcohol consumption, family history of DM, and body mass index were not associated with prediabetes. In the multivariate-adjusted model, higher age and higher RDW were associated with prediabetes. A positive correlation was found between RDW and HbA1c levels (r = 0.19, p = 0.006). In conclusion, this study supports the use of RDW as a predictor of DM.

Serum and salivary adiponectin levels as predictive markers for diabetes mellitus in children with a family history of diabetes.

Diabetes mellitus (DM) is a chronic, metabolic condition marked by defects in insulin production, action, or both. Environmental and genetic factors can contribute to the onset of diabetes mellitus. Adiponectin, a hormone affecting pancreatic beta cell proliferation, has emerged as a potential indicator of diabetes risk. This cross-sectional study aimed to evaluate serum and salivary adiponectin levels as predictors of diabetes mellitus in children with/without a family history of diabetes mellitus. The study was conducted at Al-Zahra Hospital in Najaf city and included 125 children aged 5 to 16. Data on demographics, including name, age, and gender, were collected, and body mass index (BMI) was assessed. Serum and salivary adiponectin levels were measured and analyzed in relation to family history and BMI. Children with a family history of DM had high serum adiponectin (ADP) levels. Serum adiponectin levels were significantly higher in children with first-degree relatives having a history of diabetes mellitus, except for cases involving mothers and other relatives with diabetes mellitus history (p<0.05). Furthermore, serum adiponectin levels were higher in obese children. Salivary adiponectin levels were significantly elevated in children with a maternal family history of diabetes (p=0.01), while no significant correlation was found with BMI. A significant negative correlation (r=-0.180, p=0.05) between salivary and serum adiponectin concentrations was observed. Compared to children with a normal, healthy weight, children with obesity had decreased salivary adiponectin levels and increased serum adiponectin levels.

Prevalence and Associated Factors of Diabetes Mellitus Type 2 Among Tuberculosis Patients in Muscat, Oman, 2017-2020.

Diabetes mellitus (DM) and tuberculosis (TB) are global public health concerns and leading causes of mortality and morbidity worldwide. Coinfection is known to complicate TB control and outcomes. However, there is no national study regarding the prevalence of DM among TB patients in Oman. The objective of the current study was to assess the prevalence of DM and its associated factors among TB patients in Muscat, Oman. We conducted an analytical cross-sectional study using secondary data from the electronic system of the Ministry of Health (Al-Shifa 3+). It includes all adult TB patients in Muscat, from 2017-2020. Sociodemographic data, clinical characteristics, and comorbidities of TB patients were collected. SPSS with 95% CI and p-value ≤ 0.05 was used for statistical analysis. Of 426 TB cases, the prevalence of DM was 27.0%. The associated factors of DM were age group 40-54 years (odds ratio (OR) = 9.08, 95% CI: 4.16-19.84) and ≥ 55 years (OR = 11.35, 95% CI: 5.19-24.82), male (OR = 2.35, 95% CI: 1.45-3.81), being married (OR = 13.18, 95% CI: 4.72-36.84), being employed (OR = 2.30, 95% CI: 1.19-4.47), and Bangladeshi (OR = 7.08, 95% CI: 2.50-20.12) or Indian (OR = 6.14, 95% CI: 2.40-15.70) nationality. The absence of Bacillus Calmette-Guérin scar (OR = 2.06, 95% CI: 1.19-3.56), death (OR = 7.08, 95% CI: 1.26-7.82), and cured after TB treatment (OR = 3.02, 95% CI 1.71-5.31) showed significant association. Also, smoking (OR = 2.93, 95% CI: 1.81-4.76), drinking alcohol (OR = 1.79, 95% CI: 1.10-2.91), hypertension (OR = 10.45, 95% CI: 5.29-20.64), heart disease (OR = 8.50, 95% CI: 1.69-42.77), and renal disease (OR = 4.84, 95% CI: 1.71-13.64) contributed to the study's comorbidities. Old age (adjusted OR = 2.30, 95% CI: 1.72-3.06) and hypertension (adjusted OR = 5.21, 95% CI: 2.28-11.87) were found to be predictors of DM among TB patients. The prevalence of DM among TB patients in Muscat is high. Integrated systematic bidirectional TB-DM screening is needed. Furthermore, special attention is required for associated factors when managing these comorbidities.

The Effect of Sleep Disorders on Blood Sugar in Children With Type 1 Diabetes Mellitus

Background: Diabetes mellitus (DM) is a common metabolic disorder. The hemoglobin A1c (HbA1c) test is a simple laboratory test that shows the average amount of blood sugar in the last 3 months. Studies have shown that sleep is important in controlling blood sugar levels, so that sleep deprivation can reduce glucose tolerance. Lack of sleep and sleep disorders are also predictors of DM. Objectives: Given the contradictory information about the effect of sleep on blood sugar, the impact of various factors in the process of DM, including the lifestyle of patients, and the limited number of studies in this field in Iran, we decided to investigate the effect of sleep disorders on blood sugar control in people with type 1 DM. Methods: This cross-sectional descriptive-analytical study was performed on children with type 1 DM referred to the diabetes clinic. Their HbA1c levels were recorded in a checklist from the patient’s last test recorded in their files, and the standard Pittsburg sleep quality index (PSQI) was completed to assess their sleep disorders with the help of the child’s parents. Achieving a score higher than 5 in the whole questionnaire means poor sleep quality. After collecting data, they were analyzed in SPSS software, version 21. Results: A total of 200 children with type 1 DM were studied, of whom 119(59.5%) were boys, 81(40.5%) were girls. Also, 79 children (39.5%) were less than 1 year old, 67(33.5%) were 1 to 2 years old and 54 were more than 3 years old. Also, 104 children (52.6%) had no sleep disorders, while 69(32.1%) had moderate, 20(11.6%) had severe, and 7(3.7%) had very severe sleep disorders. Their Mean±SD age was 10.86±4.68 years, and HbA1c level was 9.64±3.35 mmol/mol. Conclusions: This study showed that the prevalence of sleep disorders based on the PSQI was approximately 50%. There was a significant relationship between elevated HbA1c and the prevalence of sleep disorders.

Incidence and predictors of diabetes mellitus among severe COVID-19 patients in western Ethiopia: a retrospective cohort study

Background: Evidence reported a high occurrence of diabetes mellitus (DM) during the time of COVID-19. This study aimed to assess the incidence of DM and its predictors among severe COVID-19 patients admitted to the treatment centre of Wollega University Referral Hospital (WURH), western Ethiopia.Methods: A facility-based retrospective cohort study was conducted among severe COVID-19 patients diagnosed using the rRT-PCR from September 30, 2020, to June 10, 2021. EpiData version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression analysis was used to determine factors associated with DM. A multivariable Cox regression model with 95% CI and adjusted hazard ratio (AHR) was used to identify a significant predictor of the incidence of DM at p-value < 0.05.Results: A total of 304 patient cards with complete data were included in the final analysis. The mean age of the participants was 43.3 (SD ± 16.9) years. Of the total 304 patients admitted with severe COVID-19, 14.5% were newly diagnosed with DM with an overall incidence rate of 13.7 per 1 000 person days’ observation (PDO). The median time to occurrence of DM was 11 days (95% CI 7, 13) days. Age > 41 years (AHR = 2.54, 95% CI 1.15, 5.57), living in urban (AHR = 2.49, 95% CI 1.12, 5.52) and loss of appetite (AHR = 2.24, 95% CI 1.16, 4.34) increased the hazard of DM incidence, while presenting to the health facility after two days of clinical manifestation (AHR = 0.49, 95% CI 0.23, 0.96) decreased the risk of developing DM.Conclusions: The incidence rate of DM among patients admitted with severe COVID-19 in the study area was found to be 13.7 per 1 000 person days’ observation. Higher age, urban residence, early presentation to a health facility and loss of appetite were independent predictors of DM incidence. Therefore, we recommend early detection of DM and frequent monitoring of blood glucose for patients diagnosed with COVID-19.

Prevalence and Risk Factors Associated with Diabetes Mellitus in Public Secondary Schools Teachers in Ekiti State

Background: Diabetes Mellitus is a non-communicable disease and a leading cause of morbidity and mortality in the world. The estimated prevalence of diabetes in Africa is 1% in rural areas and ranges from 5% to 7% in urban sub-Saharan Africa. 3 Nigeria is the most populous country in African and she contributes about one sixth of the Africa’s diabetic population. This study is aimed at determining the prevalence of diabetes mellitus and accessing its risk factors among public secondary school teachers in Ekiti State. Methodology: This survey is a cross-sectional study carried out among 357 public school teachers in Ekiti State using a multi stage sampling technique. Data was gathered using a semi structured questionnaire and Accu Check Glucometer machine for Fasting Blood Sugar. Analysis was done using SPSS version 23 and level of significance was taken as P = 0.05. Result: Mean age was 42.9±9.2 years. Prevalence of Diabetes Mellitus was 5.6%. Family history (15%), Alcohol intake (14.0%) and smoking (11.2%) were major risk factors in the respondents. Poor vision is the main complication being experienced by the respondents (40.3%). Predictors of Diabetes Mellitus as found by this study include increasing age (starting from above 40years), cigarette smoking, alcohol intake and positive family history. Conclusion: Prevalence of Diabetes Mellitus is high compared to what it was before. Alcohol intake, smoking and family history were major risk factors while poor vision is the commonest complication. It is recommended that all efforts must be made to put in mechanism that will halt this undesired progression through control of risk factors.

Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study

BackgroundThis study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference.MethodsAmong 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences.ResultsAmong all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05–5.82 and 4.22, 95% CI: 3.53–5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (Pinteraction < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22–1.37 and 1.16, 95% CI: 1.11–1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM.ConclusionsOur population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women.

Prevalence and predictors of diabetes mellitus among persons living with HIV: a retrospective cohort study conducted in 4 public healthcare facilities in KwaZulu-Natal

BackgroundDiabetes mellitus is a chronic non-infectious medical condition which is evident by raised levels of glucose in the blood, because the body cannot produce any or enough of the hormone insulin or use insulin effectively. Diabetes, if not well managed leads to complications such as neuropathy, retinopathy, nephropathy which can be fatal. Some of the factors that predisposes to diabetes include older age, higher body mass index, heredity and hypertension.With the availability of HAART for managing HIV/AIDS infection, life span of persons living with HIV (PLWHIV) has increased significantly. With increased longevity, the aging population of PLWHIV also face chronic diseases such as diabetes in addition to HIV. The burden of both HIV and diabetes is high in South Africa, particularly in KwaZulu-Natal. Nevertheless, the prevalence of diabetes among PLWHIV in KwaZulu-Natal and its predictors is not well understood. Therefore, this study was conducted to determine the prevalence, predictors of diabetes and the outcome of managing diabetes among PLWHIV.MethodsThis retrospective cohort study was conducted in four public health care facilities in KwaZulu-Natal with a total sample size of 1203 after ethical approval and informed consent were obtained. A pretested questionnaire and hospital patient charts were used to collect data. SPSS version 26 was used to analyze the data using descriptive statistics and logistic regression.ResultsThe prevalence of diabetes among PLWHIV was 9%. Just over 47% of those who had diabetes, had uncontrolled blood sugar, with a mean fasting blood sugar (FBS) of 11.7 mmol/L. The predictors of diabetes among PLWHIV were male gender and older age. Male PLWHIV had 65% less chances of having diabetes and those who were between the ages of 18 and 48 years were 88% less probable to have diabetes compared to those who were older than 48 years.ConclusionPublic sector health care facilities in KwaZulu-Natal need to do much more to manage diabetes in PLWHIV in order to prevent diabetic complications and possible negative impact on the outcome of HIV management.

Advanced Glycation End Products as a Predictor of Diabetes Mellitus in Chronic Hepatitis C-Related Cirrhosis.

Background and Aims: Advanced glycation end products (AGEs) were found to be involved in the pathogenesis of various disorders. Chronic hepatitis C virus infection is the major cause of liver cirrhosis development and glucose metabolism alteration. We aimed to explore the association of AGEs with the development of diabetes mellitus (DM) in patients with cirrhosis in this study.Methods: Only 144 of the 165 non-diabetic patients with cirrhosis were consecutively included in this prospective cohort pilot study, in addition to 72 healthy control subjects. Clinical data and biochemical parameters including basal insulin secretion and insulin sensitivity indices together with AGEs were evaluated in all participants at baseline and every 1 year thereafter for 2 years. Multivariable Cox regression analysis was used to determine the parameters that could predict the development of DM within this period.Results: DM developed in 14 (10%) patients only. Univariate Cox regression analysis showed that AGEs (P = 0.004), Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) (P = 0.018), HOMA-β (P = 0.015), and age (P = 0.012) were associated with DM. After adjusting multiple confounders, the multivariable Cox regression model showed that AGEs, HOMA-IR, and age were the strongest variables associated with DM (all P < 0.05). Using the receiver operating characteristic curve, AGEs at a cutoff value of more than 82.4 ng/ml had 99.23% specificity, 100% sensitivity, and 0.992 area under the curve (AUC) (all P < 0.001) for DM prediction.Conclusion: Our study suggests that AGEs are related to increased incidence of DM, especially in patients with cirrhosis, which is very promising in lowering the risk of DM in these patients.

Copeptin: Promising Biomarker for Nephropathy in Type II Diabetes

Abstract:Kidney injury is a dangerous diabetic microvascular complication responsible for the mortality of diabetics, which would impose the requirement of biomarkers for early detection of diabetic nephropathy. Copeptin, the C-terminal portion of vasopressin prohormone, is rapidly released in severe endogenous stress. So, the current work was carried out to evaluate and estimate copeptin as a marker for diabetic nephropathy. This cross-sectional work was conducted on 60 female and male type II diabetic cases. Diabetic cases were divided as normoalbuminuric (urinary albumin was 300 mg/24 h) with nephropathy. Control group was designated from fifteen matched healthy subjects. Controls and patients were evaluated for fasting blood glucose, glycosylated hemoglobin (HbA1c), urinary albumin, serum creatinine and serum copeptin. Copeptin concentrations were significantly increased in type II diabetics with macroalbuminuria comparing to healthy controls and diabetics with normoalbuminuria. Serum copeptin concentrations were correlated positively with gold standard urinary albumin, serum creatinine, and HbA1c. Higher serum copeptin concentration in type II diabetics particularly in diabetics with nephropathy and its correlation with urinary albumin and HBA1c reflect the potential role of copeptin as a predictor of diabetes mellitus and development of diabetic nephropathy among type II diabetics considering other risk factors.

Sex differences in the risk of diabetes mellitus among individuals with psoriasis: A retrospective cohort study in Québec, Canada

Sex differences in the risk of diabetes mellitus among individuals with psoriasis: A retrospective cohort study in Québec, Canada

Incidence and Predictors of Diabetes Mellitus after a Diagnosis of Early-Stage Breast Cancer in the Elderly Using Real-World Data.

The incidence and predictors of diabetes (DM) in patients with breast cancer (BC) were evaluated. We compared DM incidence and physician access in BC patients to matched controls. We identified women with stage I-III BC diagnosed from 2005 to 2013 in the SEER-Medicare database, with ≥ 2years of follow-up after diagnosis, without previous DM claims. Incident DM was determined by ≥ 1 DM claims after BC diagnosis. Multivariable analysis was used to identify factors associated with incident DM. Age- and race-matched non-cancer controls were obtained from a 5% random sample and assigned an index date. Physician and PCP visits per-patient-per-year were compared between cases and controls in the two-year period prior to and after the index date. Among 14,506 eligible BC patients, 3234 (22.3%) developed DM versus 16.5% of controls. Among BC patients, factors associated with incident DM included race (Black OR 1.63 95% CI 1.39-1.93, Hispanic OR 3.03 95% CI 1.92-4.81; vs. Caucasians), SES (Quintile 0 vs. Quintile 4 OR 1.55 95% CI 1.33-1.78), and receipt of chemotherapy (vs. none OR 1.19 95% CI 1.08-1.31). Among cases and controls, respectively, median physician visits per-patient-per-year were 19 and 17 prior to the index date, and 46 and 19 after the index date; median PCP visits were 2 for both groups in both periods. About 22% of BC patients developed DM, more than controls in the same period. While there were differences in healthcare access, there weren't differences in PCP access between groups. This represents an opportunity for better comorbidity management in BC patients.

Assessment of diabetes and prediabetes prevalence and predictors by HbA1c in a population from sub-Saharan Africa with a high proportion of anemia: a prospective cross-sectional study

IntroductionEpidemiological data about diabetes mellitus (DM) for sub-Saharan Africa (SSA) are scarce and the utility of glycated hemoglobin (HbA1c) to diagnose DM is uncertain in African populations with a high...

Low-attenuation muscle is a predictor of diabetes mellitus: A population-based cohort study.

Diabetes mellitus is a major global public health issue. Cross-sectional studies have demonstrated that skeletal muscle quality and quantity by computed tomography (CT) is related to glucose metabolism. However, to our knowledge, no longitudinal study has yet to elucidate the association between muscle quality determined by CT and glucose metabolism. Thus, the aim of this study was to evaluate the association between muscle quality and glucose metabolism. In this retrospective study, we evaluated data from 621 middle-aged Japanese individuals without diabetes mellitus from a cohort of employees undergoing annual physical examinations. The cross-sectional skeletal muscle area was determined based on CT data at the level of the third lumbar vertebrae, and the skeletal muscle index (SMI) and density (SMD) were calculated. Low-attenuation muscle (LAM) and normal-attenuation muscle (NAM) were identified and quantified using thresholds of -29 to +29 HU and +30 to +150 HU, respectively. We followed the individuals for a mean period of 3 y, and 27 of them developed diabetes mellitus during this period. Multiple Cox regression analyses revealed that, even after adjustment for visceral fat area index, the LAM index (hazard ratio [HR], 3.07; 95% confidence interval [CI], 1.00-7.52) showed an increased adjusted HR for incident diabetes mellitus. When total SMI and SMD were used in the same models, only total SMD (HR, 0.90; 95% CI, 0.81-0.99) showed a decreased adjusted HR for incident diabetes mellitus. Both LAM index and total SMD were associated with a higher risk for incident diabetes mellitus, whereas NAM index and total SMI were not.

Association of chronic pancreatitis with risk of diabetes mellitus development

Introduction: Pancreatogenic diabetes mellitus affects the life quality and it is an independent risk factor for mortality at chronic pancreatitis. In practice, pancreatogenic diabetes mellitus is rarely diagnosed, and patients are incorrectly diagnosed with diabetes mellitus type 1 or type 2. Objective: To determine the association of chronic pancreatitis with risk of diabetes mellitus developing. Material and methods: Case-control study design, retrospective studies. The study was conducted on the base of the Municipal hospital №1 of Karaganda. Case histories of 23 patients, their outpatient records and discharges from hospital were studied. The patients were divided into 2 groups during the study: group 1 – the patients with chronic pancreatitis; group 2 – the patients with chronic pancreatitis and diabetes mellitus type 2. Results and discussion: The study found that the number of patients under 60 years of age with chronic pancreatitis and diabetes mellitus are 4 times higher than the number of patients over 60 years of age. An increase in blood sugar among patients with chronic pancreatitis was associated with an exacerbation of the underlying disease. Predictors of diabetes mellitus in patients with chronic pancreatitis were female gender (OR=1,179) and high glucose level (OR=0,667). High body mass index did not affect an increase in glucose levels in patients with chronic pancreatitis.