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Classifying self‐management clusters of patients with mild cognitive impairment associated with diabetes: A cross‐sectional study

Abstract

Aims and Objectives

This study aims to propose a self-management clusters classification method to determine the self-management ability of elderly patients with mild cognitive impairment (MCI) associated with diabetes mellitus (DM).

Background

MCI associated with DM is a common chronic disease in old adults. Self-management affects the disease progression of patients to a large extent. However, the comorbidity and patients' self-management ability are heterogeneous.

Design

A cross-sectional study based on cluster analysis is designed in this paper.

Method

The study included 235 participants. The diabetes self-management scale is used to evaluate the self-management ability of patients. SPSS 21.0 was used to analyse the data, including descriptive statistics, agglomerative hierarchical clustering with Ward's method before k-means clustering, k-means clustering analysis, analysis of variance and chi-square test.

Results

Three clusters of self-management styles were classified as follows: Disease neglect type, life oriented type and medical dependence type. Among all participants, the percentages of the three clusters above are 9.78%, 32.77% and 57.45%, respectively. The difference between the six dimensions of each cluster is statistically significant.

Conclusion(s)

This study classified three groups of self-management styles, and each group has its own self-management characteristics. The characteristics of the three clusters may help to provide personalized self-management strategies and delay the disease progression of MCI associated with DM patients.

Relevance to clinical practice

Typological methods can be used to discover the characteristics of patient clusters and provide personalized care to improve the efficiency of patient self-management to delay the progress of the disease.

Patient or public contribution

In our study, we invited patients and members of the public to participate in the research survey and conducted data collection.

Effect of mitomycin C and 5‐fluorouracil on wound healing in patients undergoing glaucoma surgery: A meta‐analysis

Abstract

Increased intraocular pressure (IOP) is a risk factor for glaucoma. One treatment option is trabeculectomy. Antimetabolic agents are used in the operation to decrease the post-operative scarring of the wound. The two most common medicines are Mitomycin C (MMC) and 5-Fluorouracil (5-FU). The aim of this research is to assess the effect of MMC on post-operation wound healing in comparison with 5-FU in addition to trabeculectomy. Well, we went through four common databases. Our language was limited to English during the study. The last time we looked at the e-databases was August 2023. Case control studies were performed where MMC resulted in better wound healing than 5-FU. Researchers selected a total of 1023 trials and eventually selected six trials for data analysis. Four hundred and ninety one cases of glaucoma were treated with trabeculectomy. Among them, 246 were given MMC and 245 were given 5-FU during operation. Six trials showed that there was no statistical difference between MMC and 5-FU in the incidence of post-operative wound leak in glaucoma patients who received trabeculectomy (OR, 1.21; 95% CI, 0.63–2.30 p = 0.57); Five trials demonstrated that MMC was associated with a reduced risk of post-operative corneal damage compared to 5-FU injection (OR, 0.18; 95% CI, 0.06–0.56 p = 0.003); In both trials, the incidence of post-operative bleeding was not significantly different from that of 5-FU injected in the MMC group (OR, 0.33; 95% CI, 0.05–2.16 p = 0.25). Our results indicate that MMC is superior to 5-FU in the reduction of post-operative corneal injury. Additional comparisons between MMC and 5-FU are required in order to increase the reliability and effectiveness of these findings.

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