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J Diabetes Investig ; 13(10): 1685-1694, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35638355

ABSTRACT

AIMS/INTRODUCTION: This study aimed to identify the clinical factors affecting postoperative residual pancreatic ß-cell function, as assessed by the C-peptide index (CPI), and to investigate the association between perioperative CPI and the status of diabetes management after pancreatectomy. MATERIALS AND METHODS: The associations between perioperative CPI and clinical background, including surgical procedures of pancreatectomy, were analyzed in 47 patients who underwent pancreatectomy, and were assessed for pre-and postoperative CPI. The association between perioperative CPI and glycemic control after pancreatectomy was investigated. RESULTS: The low postoperative CPI group (CPI <0.7) had longer duration of diabetes (17.5 ± 14.5 vs 5.5 ± 11.0 years, P = 0.004), a higher percentage of sulfonylurea users (41.7 vs 8.7%, P = 0.003) and a greater number of drug categories used for diabetes treatment (1.9 ± 1.1 vs 0.8 ± 0.8, P <0.001) than did the high postoperative CPI group. Postoperative CPI was higher (1.4 ± 1.2 vs 0.7 ± 0.6, P = 0.039) in patients with low glycosylated hemoglobin (<7.0%) at 6 months after pancreatectomy; preoperative (2.0 ± 1.5 vs 0.7 ± 0.5, P = 0.012) and postoperative CPI (2.5 ± 1.4 vs 1.4 ± 1.1, P = 0.020) were higher in non-insulin users than in insulin users at 6 months after surgery. CONCLUSIONS: The duration of diabetes and preoperative diabetes treatment were associated with residual pancreatic ß-cell function after pancreatectomy. Furthermore, perioperative ß-cell function as assessed by CPI was associated with diabetes management status after pancreatectomy.


Subject(s)
Diabetes Mellitus , Pancreatectomy , Humans , C-Peptide , Diabetes Mellitus/etiology , Glycated Hemoglobin , Postoperative Complications/etiology , Retrospective Studies
2.
J Diabetes Investig ; 12(9): 1680-1688, 2021 Sep.
Article in English | MEDLINE | ID: mdl-33567117

ABSTRACT

AIMS/INTRODUCTION: Fragmented QRS (fQRS) on electrocardiography is a marker of myocardial fibrosis and myocardial scar formation. This study aimed to clarify the relationship of fQRS with diabetes mellitus and metabolic syndrome (MetS) in Japanese patients. MATERIALS AND METHODS: Approximately 702 individuals who had a routine health checkup at the Hokuriku Health Service Association (Toyama, Japan) in October 2014 were enrolled and categorized into one of the following four groups based on MetS and diabetes mellitus status: with diabetes mellitus (+) MetS+ (164 participants); diabetes mellitus+ without MetS (Mets-; 103 participants); diabetes mellitus- MetS+ (133 participants); and diabetes mellitus- MetS- (302 participants). fQRS was assessed using the results of electrocardiography. RESULTS: The prevalence of fQRS was statistically higher in patients with diabetes mellitus+ MetS+ (37%) and diabetes mellitus+ MetS- (35%), than those with diabetes mellitus- MetS+ (14%) or diabetes mellitus- MetS- (10%; P < 0.0001). Significant differences were observed between the fQRS(+) and fQRS(-) groups for age, sex, waist circumference, heart rate, hypertension, hemoglobin A1c, total cholesterol, MetS and diabetes mellitus. The area under the receiver operating characteristic curve for traditional risk factors and diabetes mellitus was 0.72 (P = 0.0007, 95% confidence interval 0.67-0.76), and for traditional risk factors and MetS it was 0.67 (P = 0.28, 95% confidence interval 0.62-0.72). Patients with diabetes mellitus had more than threefold higher likelihood of showing fQRS (odds ratio 3.41; 95% confidence interval 2.25-5.22; P < 0.0001) compared with the reference group without diabetes mellitus, after adjusting for age, sex, dyslipidemia, hypertension and waist circumference. CONCLUSIONS: fQRS was observed more frequently in diabetes mellitus patients than in MetS and control individuals. Diabetes mellitus was the most significant determinant for fQRS among MetS and other traditional metabolic risk factors.


Subject(s)
Diabetes Mellitus/physiopathology , Diabetic Cardiomyopathies/epidemiology , Electrocardiography/methods , Metabolic Syndrome/physiopathology , Diabetic Cardiomyopathies/diagnostic imaging , Diabetic Cardiomyopathies/pathology , Humans , Prognosis
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