Assessment of risk of diabetic retinopathy among different patient latent profile groups in a regional hospital.
| Autor: | Tseng, Shih-Ya, 曾詩雅 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 Objective: To explore subgroup characteristics and risks of diabetic retinopathy among patients with type 2 diabetes mellitus by using Latent Profile Analysis （LPA）. Method: Retrospective cohort study design was used. The dataset was collected from the department of metabolism of regional hospitals. Data of 5,513 individuals aged ≥20 years were analyzed. We used the logistic regression analysis to explore relationships between subgroups and diabetic retinopathy. Result: Age, type 2 diabetes mellitus duration, waistline, follow-up rate, family history, and drinking were risk factors significantly associated with diabetic retinopathy in patients with type 2 diabetes mellitus. Patients with type 2 diabetes mellitus were divided into three groups based on LPA: worst, medium, and best self-control groups. The three groups demonstrated differences in demographic characteristics. The worst self-control group patients were the youngest （age 64.74 years）; moreover, they had the shortest type 2 diabetes mellitus duration （i.e., 10.81 years）, the highest proportion of smokers （26.8%） and alcohol consumers （8.5%）, and the lowest follow-up rate （91%）. Medium self-control group patients had the highest proportion of women （48.9%） and follow-up rate （100%）, whereas the lowest proportion of smokers （84.1%） and alcohol consumers （94.4%）. Best self-control group patients had the highest proportion of men （69.2%） and were the oldest （age 67.39 years）. Logistic regression analysis revealed that medium and worst self-control groups patients were 0.720 and 2.655 times more likely to have diabetic retinopathy than were those in best self-control group, respectively. Conclusion: Worst self-control group patients had the highest probability to acquire diabetic retinopathy, followed by those in medium and best self-control groups. The worst self-control group patients had the highest proportion of smokers and alcohol consumers, but the lowest follow-up rate and shortest average retinopathy duration. Thus, patients with type 2 diabetes mellitus must control their biochemical indicators and avoid smoking and drinking to delay diabetic retinopathy development. Keywords: type 2 diabetes mellitus, diabetic retinopathy, risk factors, Latent Profile Analysis |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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