Prevalence of Complications Among Second-Generation Japanese-American Men With Diabetes, Impaired Glucose Tolerance, or Normal Glucose Tolerance

Fujimoto, Wilfred Y.; Leonetti, Donna L.; Kinyoun, James L.; Shuman, William P.; Stolov, Walter C.; Wahl, Patricia W.

doi:10.2337/diab.36.6.730

Cited by 101 publications

(68 citation statements)

References 29 publications

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“…For example, in Framingham (14), age-adjusted RRs were higher for women compared to men with diabetes for any cardiovascular disease (2.8 vs. 2.2), total CVD mortality (4.9 vs. 2.1), cardiac failure (5.4 vs. 2.2), brain infarct (3.8 vs. 2.7), and intermittent claudication (6.4 vs. 4.0). While sufficient data to conduct a meaningful meta-analysis of these end points is lacking, 13 population-based prevalence reports were identified wherein a fairly standard definition of MI was used (15)(16)(17)(18)(19)(20)(21)(22)(23)(24). These are listed in Table 3 while Table 4 and Figure 2 present the overall odds ratios.…”

Section: Name Yrmentioning

confidence: 99%

The Impact of Gender and General Risk Factors on the Occurrence of Atherosclerotic Vascular Disease in Non-insulin-dependent Diabetes Mellitus

Orchard

1996

Annals of Medicine

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While it is generally accepted that non-insulin-dependent diabetes mellitus (NIDDM) increases atherosclerotic risk, controversy remains as to whether this effect is greater for women than men (thus reducing the usual gender differential). Furthermore, it is unclear to what extent changes in general risk factors may account for this increased risk. The literature was reviewed with meta-analyses. Gender specific overall relative risks with 95% confidence intervals for coronary heart disease (CHD) mortality (ICD codes 410-414) were calculated. Similarly, overall gender specific odds ratios for prevalent myocardial infarction (MI) are presented. Data are generated from both fixed effects and random effects models. Frequency counts of studies showing specific cardiovascular disease (CVD) risk factor effects in diabetes are given as is the number of studies showing diabetes to be an independent risk factor. The overall relative risk (the ratio of men to women) for CHD mortality in diabetes was 1.46 (1.21-1.75) and 2.29 (2.05-2.55) in nondiabetes suggesting that the gender differential is reduced in diabetes. However, heterogeneity was high (P < 0.001). Exclusion of studies that were exclusively in elderly subjects eliminated heterogeneity (P > 0.05), but retained a separation of the confidence intervals. Overall odds ratios (men:women) show no suggestion of a diabetes effect on the gender difference for prevalent MI, 1.77 (diabetes) and 1.79 (no diabetes). The effects of six general CVD risk factors were unclear, although the largest study showed a clear effect of cholesterol, smoking, and blood pressure. All 10 studies in women report diabetes to be an independent risk factor as do 8 out of 12 studies in men. NIDDM reduces the gender differential in CHD mortality, but not for prevalent MI (or other end points). Although the effect of specific CVD risk factors is inconsistent across studies, this is likely to reflect limited sample size and power. The major three risk factors, cholesterol, blood pressure, and smoking, probably operate in NIDDM but do not fully explain the increased risk of CVD in NIDDM.

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Section: Name Yrmentioning

confidence: 99%

The Impact of Gender and General Risk Factors on the Occurrence of Atherosclerotic Vascular Disease in Non-insulin-dependent Diabetes Mellitus

Orchard

1996

Annals of Medicine

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“…The last adaptation on the classification of DN and data revealed by recent studies [4][5][6][7][8][9][10][11]42 suggest the presence of AD in the stages prior to the diagnosis of type 2 diabetes, which justifies our study.…”

Section: Conclusion the Type 2 Diabetes And Its Neuropathic Effectmentioning

confidence: 48%

“…[6][7][8][9][10] Not to mention the association found between the OGI and the Quantitative Sudomotor Axon Reflex Test (QSART), which seems to support the theory that the OGI can affect the function of the autonomic small nerve fibers, and be the prelude of diabetic polyneuropathy 11 dysfunction.…”

mentioning

confidence: 89%

“…3 Nerve conduction studies have shown the presence of AD in 10%-18% of patients with newly diagnosed type 2 diabetes and selective involvement of small sensitive somatic fibers in patients at increased risk for type 2 diabetes. 4,5 These data suggest the presence of AD in stages prior to the diagnosis of type 2 diabetes, corresponding to the period of latency and increased risk for type 2 diabetes, previously known as "pre-diabetes", [6][7][8][9][10][11][12] making it essential to identify it through a screening test.…”

mentioning

confidence: 99%

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Study of the Central and Peripheral Autonomic Function in Short Evolutions Type 2 Diabetes and It’s Risk Categories

Buzo¹,

Farina²,

Moreno³

et al. 2015

Diabetes Res Open J

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Objective: Early detection of Diabetic Autonomic Neuropathy (DAN) could help prevent serious complications and mortality associated with this condition in type 2 diabetes. We aimed to determine the prevalence of Sudomotor Autonomic Dysfunction, Cardiac Autonomic Dysfunction (SAD, CAD) in the early stages of glucose metabolism alterations, ranging from risk categories for type 2 diabetes (prediabetes) to recently established type 2 diabetes. Research Design and Methods: It is a longitudinal, prospective and observational study (population consisting in 30 control subjects, 30 patients with increased risk for type 2 diabetes and 30 patients with type 2 diabetes ≤8 years of evolution. Study was carried out by designing a modified battery of Ewing. To study autonomic: resting Heart Rate (HR), deep inspiration, controlled breathing, 30/15, Valsalva maneuver, Sustained handgrip test (SHGT) and prolonged QTc indexes) and to study sudomotor: measurement of the Skin Conductance Response (SCR) deep inspiration, controlled breathing, standing to orthostasis, Valsalva maneuver and SHGT. The ECG and the Electrodermal response signal (EDR) was recorded while the patients execute the tests. Results: Results were statistically analyzed by taking into account the group the patients belonged to, their anthropometric variables (directly measured) and their results from blood tests. Obtained results allowed us to determine the order in which every autonomic index passes from normal to abnormal and the corresponding nerve fibers involved. Cardiac autonomic variables: resting HR: it is average value increases as the dysglicaemia progressed, significant differences were only found between the control and the type 2 diabetes group (p=0.041). Deep inspiration index: significant differences were only found between the increased risk group and the type 2 diabetes group (p=0.047). 42.9% of the control subjects, 39.1% of the increased risk patients and 59.3% of type 2 diabetes presented anomalous values for this index. Controlled breathing rate: significant differences were only found between the DIABETES RESEARCHcontrol group and the type 2 diabetes group (p=0.008). 7.1% of the control subjects, 31.8% of the increased risk patients and 34.6% of type 2 diabetes presented anomalous values for this index. Significant differences were only found between the control group and the increased risk group (p=0.023).Sudomotor autonomic variables: no significant differences were found between the groups for the average value of SCR, or anomalous values of SCR to the various autonomic stimuli studied. SCR-HR: we found significant correlation between the sudomotor response generated by the SHGT maneuver and the variation of the HR generated by this autonomic stimulus (p=0.036); not so for the remaining stimuli.Conclusions: CAD appears to be the first manifestation of DAN and is already present in prediabetes and short evolution type 2 diabetes. This finding suggests an early impairment of parasympathetic fibers in disglycemic patients, and may ...

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“…Guidelines on diabetes mellitus type 2: comparison between countries on ethnic specific statements[27][28][29][30][31][32][33][34][35][36][37][38][39][40] …”

mentioning

confidence: 99%

Ethnic specific recommendations in clinical practice guidelines: a first exploratory comparison between guidelines from the USA, Canada, the UK, and the Netherlands

Manna

Bruijnzeels²,

Mokkink³

et al. 2003

Quality and Safety in Health Care

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Objectives: To investigate whether clinical practice guidelines in different countries take ethnic differences between patients into consideration and to assess the scientific foundation of such ethnic specific recommendations. Design: Analysis of the primary care sections of clinical practice guidelines. Setting: Primary care practice guidelines for type 2 diabetes mellitus, hypertension, and asthma developed in the USA, Canada, the UK, and the Netherlands. Main outcome measures: Enumeration of the ethnic specific information and recommendations in the guidelines, and the scientific basis and strength of this evidence. Results: Different guidelines do address ethnic differences between patients, but to a varying extent. The USA guidelines contained the most ethnic specific statements and the Dutch guidelines the least. Most ethnic specific statements were backed by scientific evidence, usually arising from descriptive studies or narrative reviews. Conclusion: The attention given to ethnic differences between patients in clinical guidelines varies between countries. Guideline developers should be aware of the potential problems of ignoring differences in ethnicity.

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Prevalence of Complications Among Second-Generation Japanese-American Men With Diabetes, Impaired Glucose Tolerance, or Normal Glucose Tolerance

Cited by 101 publications

References 29 publications

The Impact of Gender and General Risk Factors on the Occurrence of Atherosclerotic Vascular Disease in Non-insulin-dependent Diabetes Mellitus

The Impact of Gender and General Risk Factors on the Occurrence of Atherosclerotic Vascular Disease in Non-insulin-dependent Diabetes Mellitus

Study of the Central and Peripheral Autonomic Function in Short Evolutions Type 2 Diabetes and It’s Risk Categories

Ethnic specific recommendations in clinical practice guidelines: a first exploratory comparison between guidelines from the USA, Canada, the UK, and the Netherlands

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