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To evaluate the duration of subsyndromal delirium (SSD) in intensive care unit (ICU) patients and the factors associated with SSD duration.
This retrospective study included adult patients admitted to the ICU of Affiliated Hospital of Nantong University between December 2019 and June 2020. All patients with Richmond Agitation Sedation Scale scores of ≥−2 were evaluated every 8 h using the confusion assessment method of the intensive care unit (CAM-ICU) until the patients with SSD were negative, progressed to delirium, fell into a coma, died, or were discharged from the ICU. Multivariable Cox regression analyses were performed to determine the factors associated with SSD duration.
Of the 388 patients, 53.6% had SSD, and 20.7% progressed from SSD to delirium. The duration of SSD ranged from 8 to 248 h, and the median duration was 48 h (interquartile range, 24–72). Age (hazard ratio [HR] = 0.985, 95% confidence interval [CI], 0.971–0.999, p = 0.035), surgery or not (HR = 0.514; 95% CI, 0.310–0.850; p = 0.010), duration of ventilation (HR = 1.003; 95% CI, 1.000–1.006; p = 0.044), duration of hypoxia (HR = 0.212; 95% CI, 0.103–0.438; p < 0.001), and adapted cognitive exam scores (HR = 1.057; 95% CI, 1.030–1.085; p < 0.001) were independently associated with the duration of SSD.
The duration of SSD was associated with age, surgery, duration of ventilation, duration of hypoxia, and cognitive function. SSD has a high incidence among ICU patients, and many patients progress to delirium.
The study team met with public members of the evaluation teams throughout the project in a series of workshops. Workshops informed study design, data collection tools and data interpretation.
ICU staff should pay attention to SSD patients with older age, history of surgery, longer duration of ventilation, prolonged duration of hypoxia, and lower ACE scores.
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).
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.
A cross-sectional study based on cluster analysis is designed in this paper.
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.
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.
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.
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.
In our study, we invited patients and members of the public to participate in the research survey and conducted data collection.
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