Background: To assess the associations of various HbA1c measures, including a single baseline HbA1c value, overall mean, yearly updated means, standard deviation (HbA1c-SD), coefficient of variation (HbA1c-CV), and HbA1c variability score (HVS), with microvascular disease (MVD) risk in patients with type 2 diabetes. Methods: Linked data between National Cheng Kung University Hospital and Taiwan's National Health Insurance Research Database were utilized to identify the study cohort. The primary outcome was the composite MVD events (retinopathy, nephropathy, or neuropathy) occurring during the study follow-up. Cox model analyses were performed to assess the associations between HbA1c measures and MVD risk, with adjustment for patients' baseline HbA1c, demographics, comorbidities/complications, and treatments. Results: In the models without adjustment for baseline HbA1c, all HbA1c variability and mean measures were significantly associated with MVD risk, except HVS. With adjustment for baseline HbA1c, HbA1c-CV had the strongest association with MVD risk. For every unit of increase in HbA1c-CV, the MVD risk significantly increased by 3.42-and 2.81-fold based on the models without and with adjustment for baseline HbA1c, respectively. The associations of HbA1c variability and mean measures with MVD risk in patients with baseline HbA1c < 7.5% (58 mmol/mol) were stronger compared with those in patients with baseline HbA1c ≥ 7.5% (58 mmol/mol). Conclusions: HbA1c variability, especially HbA1c-CV, can supplement conventional baseline HbA1c measure for explaining MVD risk. HbA1c variability may play a greater role in MVD outcomes among patients with relatively optimal baseline glycemic control compared to those with relatively poor baseline glycemic control.
Importance: Few predictive models for later handwriting difficulties have been developed for kindergarteners. Objective: To develop a nomogram for the purpose of detecting the risk of later poor Chinese handwriting among Taiwanese kindergarteners. Design: One-year prospective longitudinal, observational study. Setting: Kindergarten and elementary school. Participants: One hundred fifty-six kindergarteners were included. In first grade, they were grouped into the normal and poor handwriting groups on the basis of handwriting performance in first grade. Outcomes and Measures: Participants received fine motor (FM), visual–perceptual (VP), and visual–motor integration tests in kindergarten and handwriting assessments in first grade. Results: Logistic regression results indicated that younger age at school entry and lower scores on measures of FM and VP in kindergarten increased the risk for later poor handwriting. The area under the receiver operating characteristic curve in the nomogram built with these risk factors was .75, indicating that the nomogram had acceptable diagnostic value. Conclusions and Relevance: This nomogram could be used as a screening tool to detect kindergarteners at risk of poor Chinese handwriting in first grade. What This Article Adds: This study is the first to establish a nomogram constructed with significant predictors in kindergarten of a child’s probability of poor handwriting later in first grade. This predictive nomogram may help occupational therapists, educators, and parents identify at-risk kindergarteners early for the purpose of early interventions to prevent later poor Chinese handwriting.
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