Evidence suggests that diabetes mellitus (DM) is associated with idiopathic pulmonary fibrosis (IPF). According to the new IPF guidelines, high-resolution computed tomography (HRCT) is an essential means of diagnosing IPF. We investigated the relationship between IPF and DM in patients treated between 2003 and 2007. Newly diagnosed IPF patients in large university teaching hospitals in Korea were enrolled from January 2003 to December 2007. We retrospectively analyzed 1,685 patients using the interstitial lung disease (ILD) registry. In total, 299 IPF patients (17.8%) also had DM. The mean age of our subjects was 68.0 +/- 9.4 yr. HRCT showed significantly more reticular and honeycomb patterns in IPF patients with DM than in IPF patients without DM (P = 0.014, P = 0.028, respectively). Furthermore, significantly higher incidences of hypertension, cardiovascular diseases, and other malignancies (except lung cancer) were found in IPF patients with DM than in IPF patients without DM. In conclusion, IPF patients with DM are more likely to have the usual interstitial pneumonia (UIP) pattern, including reticular and honeycomb patterns, on HRCT than are those without DM.
Aged ; Cardiovascular Diseases/epidemiology/etiology ; Diabetes Mellitus, Type 2/*complications ; Female ; Humans ; Hypertension/epidemiology/etiology ; Idiopathic Pulmonary Fibrosis/complications/*diagnosis/radiography ; Incidence ; Male ; Middle Aged ; Neoplasms/epidemiology/etiology ; Registries ; Republic of Korea/epidemiology ; Retrospective Studies ; Tomography, X-Ray Computed

Although the prevalence of type 2 diabetes is increasing, there are cases difficult to categorize into certain type in pediatric diabetic patients. The aims of this study were to detect and choose a proper treatment modality for atypical cases of diabetes mellitus, using the body composition chart. We conducted a retrospective study from August 2005 to 2012 with patients who visited Konkuk University Medical Center, and were diagnosed with diabetes mellitus. The medical records were reviewed for the anthropometric data and indices of body composition. The subjects were grouped by the type of diabetes and gender. We constructed a body composition chart plotting fat free mass index and fat mass index (FMI). Body mass index and all body composition indices were higher in type 2 diabetes, in each gender in analysis with Mann-Whitney test. Significant determinant of diabetes type was revealed as FMI and contributing factors on FMI were analyzed with regression analysis. Six atypical cases were identified by a body composition chart including non-obese type 2 diabetes showing suboptimal growth with lower BMI related to relatively lower insulin secretion and type 1 diabetes with insulin resistance resulted from obesity. Body composition chart analysis might be useful in characterization of diabetes type and detection of atypical cases and early adjustment of diabetes management strategy.
Adiposity ; Adolescent ; Body Composition/*physiology ; Body Mass Index ; Child ; Diabetes Mellitus, Type 2/*diagnosis/epidemiology/etiology ; Female ; Humans ; Male ; Obesity/complications ; Regression Analysis ; Retrospective Studies ; Statistics, Nonparametric

Although the prevalence of type 2 diabetes is increasing, there are cases difficult to categorize into certain type in pediatric diabetic patients. The aims of this study were to detect and choose a proper treatment modality for atypical cases of diabetes mellitus, using the body composition chart. We conducted a retrospective study from August 2005 to 2012 with patients who visited Konkuk University Medical Center, and were diagnosed with diabetes mellitus. The medical records were reviewed for the anthropometric data and indices of body composition. The subjects were grouped by the type of diabetes and gender. We constructed a body composition chart plotting fat free mass index and fat mass index (FMI). Body mass index and all body composition indices were higher in type 2 diabetes, in each gender in analysis with Mann-Whitney test. Significant determinant of diabetes type was revealed as FMI and contributing factors on FMI were analyzed with regression analysis. Six atypical cases were identified by a body composition chart including non-obese type 2 diabetes showing suboptimal growth with lower BMI related to relatively lower insulin secretion and type 1 diabetes with insulin resistance resulted from obesity. Body composition chart analysis might be useful in characterization of diabetes type and detection of atypical cases and early adjustment of diabetes management strategy.
Adiposity ; Adolescent ; Body Composition/*physiology ; Body Mass Index ; Child ; Diabetes Mellitus, Type 2/*diagnosis/epidemiology/etiology ; Female ; Humans ; Male ; Obesity/complications ; Regression Analysis ; Retrospective Studies ; Statistics, Nonparametric

Previous epidemiologic studies have shown the clinical association between non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD). However, there is only limited information about the effect of NAFLD on the development of hypertension. Accordingly, we investigated the clinical association between NAFLD and prehypertension. A prospective cohort study was conducted on the 11,350 Korean men without prehypertension for 5 yr. The incidences of prehypertension were evaluated, and Cox proportional hazard model was used to measure the hazard ratios (HRs) for the development of prehypertension according to the degree of NAFLD (normal, mild, moderate to severe). The incidence of prehypertension increased according to NAFLD states (normal: 55.5%, mild: 63.7%, moderate to severe: 70.3%, P<0.001). Even after adjusting for multiple covariates, the HRs (95% confidence interval) for prehypertension were higher in the mild group (1.18; 1.07-1.31) and moderate to severe group (1.62; 1.21-2.17), compared to normal group, respectively (P for trend <0.001). The development of prehypertension is more potentially associated with the more progressive NAFLD than normal and milder state. These findings suggest the clinical significance of NAFLD as one of risk factors for prehypertension.
Adult ; Blood Glucose ; Blood Pressure ; Cohort Studies ; Diabetes Mellitus, Type 2/complications/diagnosis ; Humans ; Incidence ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease/complications/*diagnosis ; Prehypertension/diagnosis/*epidemiology/etiology ; Proportional Hazards Models ; Prospective Studies ; Risk Factors ; Smoking

This study was performed to evaluate the effects of diabetes on short- and mid-term clinical outcomes in patients with acute myocardial infarction (AMI). Between October 2005 and December 2009, a total of 22,347 patients with AMI from a nationwide registry was analyzed. At the time point of the day 30 after AMI onset, landmark analyses were performed for the development of major adverse cardiovascular events (MACEs), including death, re-infarction and revascularization. In this cohort, 6,131 patients (27.4%) had diabetes. Short-term MACEs, which occurred within 30 days of AMI onset, were observed in 1,364 patients (6.1%). Among the 30-day survivors (n = 21,604), mid-term MACEs, which occurred between 31 and 365 days after AMI onset, were observed in 1,181 patients (5.4%). After adjustment for potential confounders, diabetes was an independent predictor of mid-term MACEs (HR, 1.25; 95% CI, 1.08-1.45; P = 0.002), but not of short-term MACEs (HR: 1.16; 95% CI: 0.93-1.44; P = 0.167). Diabetes is a poor prognostic factor for mid-term clinical outcomes but not for short-term outcomes in AMI patients. Careful monitoring and intensive care should be considered in diabetic patients, especially following the acute stage of AMI.
Acute Disease ; Aged ; Cardiovascular Diseases/etiology ; Cohort Studies ; Diabetes Mellitus, Type 2/complications/*diagnosis ; Diagnosis, Differential ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Myocardial Infarction/*diagnosis/epidemiology/mortality ; Prognosis ; Proportional Hazards Models ; Registries ; Survival Analysis ; Time Factors

We evaluated the prevalence of vitamin B12 deficiency and associated factors in type 2 diabetes patients using metformin. A total of 799 type 2 diabetes patients using metformin was enrolled. Vitamin B12 and folate levels were quantified by chemiluminescent enzyme immunoassay. Vitamin B12 deficiency was defined as vitamin B12 < or = 300 pg/mL without folate deficiency (folate > 4 ng/mL). The prevalence of vitamin B12 deficiency in metformin-treated type 2 diabetes patients was 9.5% (n = 76), and the mean vitamin B12 level was 662.5 +/- 246.7 pg/mL. Vitamin B12 deficient patients had longer duration of metformin use (P < 0.001) and higher daily metformin dose (P < 0.001) than non-deficient patients. Compared with daily metformin dose of < or = 1,000 mg, the adjusted odds ratio for 1,000-2,000 mg, and > or = 2,000 mg were 2.52 (95% CI, 1.27-4.99, P = 0.008) and 3.80 (95% CI, 1.82-7.92, P < 0.001). Compared with metformin use of < 4 yr, the adjusted odds ratios for 4-10 yr, and > or = 10 yr were 4.65 (95% CI, 2.36-9.16, P < 0.001) and 9.21 (95% CI, 3.38-25.11, P < 0.001), respectively. In conclusion, our study indicates that patients with type 2 diabetes treated with metformin should be screened for vitamin B12 deficiency, especially at higher dosages (> 1,000 mg) and longer durations (> or = 4 yr) of treatment.
Aged ; Area Under Curve ; Diabetes Mellitus, Type 2/complications/diagnosis/*drug therapy ; Female ; Folic Acid/blood ; Humans ; Hypoglycemic Agents/adverse effects/*therapeutic use ; Immunoassay ; Male ; Metformin/adverse effects/*therapeutic use ; Middle Aged ; Odds Ratio ; Patients ; Prevalence ; ROC Curve ; Time Factors ; Vitamin B 12/blood ; Vitamin B 12 Deficiency/diagnosis/epidemiology/*etiology

OBJECTIVES: Smoking is known to be associated with nephropathy in patients with diabetes. The distinct effects of smoking before and after diabetes has been diagnosed, however, are not well characterized. We evaluated the association of cigarette smoking before and after a diagnosis of diabetes with the presence of diabetic nephropathy. METHODS: We analyzed data from the 2011-2013 editions of the Korea National Health and Nutrition Examination Survey. A total of 629 male patients diagnosed with diabetes were classified as non-smokers (90 patients), former smokers (225 patients), or continuing smokers (314 patients). A "former smoker" was a patient who smoked only before receiving his diagnosis of diabetes. A "continuing smoker" was a patient who smoked at any time after his diabetes had been diagnosed. Diabetic nephropathy was defined as the presence of albuminuria (spot urine albumin/creatinine ratio ≥30 mg/g) or low estimated glomerular filtration rate (<60 mL/min/1.73 m2). Multiple logistic regression models were used to assess the independent association after adjusting for age, duration of diabetes, hemoglobin A1c, body mass index, systolic blood pressure, medication for hypertension, and medication for dyslipidemia. Female patients were excluded from the study due to the small proportion of females in the survey who smoked. RESULTS: Compared to non-smokers, continuing smokers had significantly higher odds ratio ([OR], 2.17; 95% confidence interval [CI], 1.23 to 3.83) of suffering from diabetic nephropathy. The corresponding OR (95% CI) for former smokers was 1.26 (0.70 to 2.29). CONCLUSIONS: Smoking after diagnosis of diabetes is significantly associated with the presence of diabetic nephropathy in the Korean male population.
Aged ; Albumins/analysis ; Asian Continental Ancestry Group ; Blood Pressure ; Body Mass Index ; Creatinine/urine ; Diabetes Mellitus, Type 2/complications/*diagnosis ; Diabetic Nephropathies/epidemiology/*etiology ; Female ; Glomerular Filtration Rate ; Hemoglobin A, Glycosylated/analysis ; Humans ; Logistic Models ; Male ; Middle Aged ; Nutrition Surveys ; Odds Ratio ; Prevalence ; Republic of Korea ; Smoking/*adverse effects