Development of a Screening Score for Undiagnosed Diabetes and Its Application in Estimating Absolute Risk of Future Type 2 Diabetes in Japan: Toranomon Hospital Health Management Center Study 10 (TOPICS 10)
Abstract:Our algorithm could serve as a self-assessment tool for undiagnosed diabetic patients needing timely medical care and as a prognostic tool for individuals without present diabetes who must be closely followed up to prevent future diabetes.
“…Even though the discrimination of another two algorithms was greater than that of our algorithms, those algorithms did not achieve a good trade‐off between sensitivity and specificity at predefined optimal cut‐off values. For both algorithms, the specificities were unacceptably low although the sensitivities were at least 90%. Hence, a high degree of discrimination does not necessarily lead to reasonable performance at recommended cut‐off values.…”
“…Even though the discrimination of another two algorithms was greater than that of our algorithms, those algorithms did not achieve a good trade‐off between sensitivity and specificity at predefined optimal cut‐off values. For both algorithms, the specificities were unacceptably low although the sensitivities were at least 90%. Hence, a high degree of discrimination does not necessarily lead to reasonable performance at recommended cut‐off values.…”
“…An elevation in blood pressure, even within a high normal level, is associated with insulin resistance [9,10], and a high normal blood pressure and hypertension are associated with an elevated risk of developing type 2 diabetes [11][12][13]. Moreover, Kim et al reported that in addition to subjects with hypertension at the time of registration, subjects who later developed prehypertension or hypertension were also at risk for developing type 2 diabetes [14].…”
Abstract. Type 2 diabetes, which is characterized by a combination of decreased insulin secretion and decreased insulin sensitivity, can be delayed or prevented by healthy lifestyle behaviors. Therefore, it is important that the population in general understands their personal risk at an early age to reduce their chances of ever developing the disease. A family history of hypertension is known to be associated with insulin resistance, but the effect of a family history of hypertension on the onset of type 2 diabetes has not well been examined. We performed a retrospective study examining patient age at the time of the diagnosis of type 2 diabetes by analyzing a dataset of 1,299 patients (1,021 men and 278 women) who had been diagnosed as having type 2 diabetes during a health checkup. The mean ± standard deviation of the patient age at the time of the diagnosis of diabetes was 49.1 ± 10.4 years for patients with a family history of hypertension and 51.8 ± 11.4 years for patients without a family history of hypertension (p < 0.001). A multivariate linear regression analysis showed a significant association between a family history of hypertension and a younger age at the time of the diagnosis of type 2 diabetes, independent of a family history of diabetes mellitus and a male sex, suggesting that a positive family history of hypertension might be associated with the accelerated onset of type 2 diabetes.Key words: Type 2 diabetes, Family history of hypertension, Age at the onset of diabetes [1]. This disease contributes to many complications and comorbidities, including diabetic retinopathy leading to impaired vision, renal failure leading to hemodialysis, and cardiovascular accidents. These conditions lead to impairments in the quality of life of patients and create a large financial burden for health care systems [2]. In Japan, a survey performed by the Ministry of Health, Labour and Welfare in 2012 estimated that
Original
“…Previous studies have focused on the factors associated with undiagnosed diabetes [7,19,20], but not the factors for untreated diabetes. Although the factors that are associated with untreated and undiagnosed diabetes may differ, it is relevant to compare our results with previous studies that examined the factors associated with undiagnosed diabetes.…”
Section: Discussionmentioning
confidence: 99%
“…Other factors that were identified by our study, such as sex, current smoking, hypertension, and exercise habits, were also commonly used to detect undiagnosed diabetes. In previous studies, family history of diabetes was another strong predictor of undiagnosed diabetes [7,19], although this information was not available for our study. Although decreased HDL cholesterol and increased non-HDL cholesterol levels were predictors of untreated diabetes in our study, lipid levels have rarely been used to detect undiagnosed diabetes [7,19], possibly because blood testing is needed to evaluate lipid levels.…”
ObjectiveWe aimed to examine factors associated with untreated diabetes in a nationally representative sample of the Japanese population.Research Design and MethodsWe pooled data from the Japanese National Health and Nutrition Survey from 2005 to 2009 (n = 20,496). Individuals aged 20 years and older were included in the analysis. We classified participants as having diabetes if they had HbA1c levels ≥6.5% (≥48 mmol/mol). People with diabetes who self-reported that they were not currently receiving diabetic treatment were considered to be untreated. We conducted a multinomial logistic regression analysis to determine factors associated with untreated diabetes relative to non-diabetic individuals.ResultsOf 20,496 participants who were included in the analysis, untreated diabetes was present in 748 (3.6%). Among participants with untreated diabetes, 48.3% were previously diagnosed with diabetes, and 46.5% had HbA1c levels ≥7.0% (≥53 mmol/mol). Participants with untreated diabetes were significantly more likely than non-diabetic participants to be male, older, and currently smoking, have lower HDL cholesterol levels and higher BMI, non-HDL cholesterol levels, and systolic blood pressure.ConclusionsA substantial proportion of people in Japan with untreated diabetes have poor glycemic control. Targeting relevant factors for untreated diabetes in screening programs may be effective to enhance the treatment and control of diabetes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.