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To summarise the currently developed risk prediction models for medication adherence in patients with chronic diseases and evaluate their performance and applicability.
Ensuring medication adherence is crucial in effectively managing chronic diseases. Although numerous studies have endeavoured to construct risk prediction models for predicting medication adherence in patients with chronic illnesses, the reliability and practicality of these models remain uncertain.
Systematic review.
We conducted searches on PubMed, Web of Science, Cochrane, CINAHL, Embase and Medline from inception until 16 July 2023. Two authors independently screened risk prediction models for medication adherence that met the predefined inclusion criteria. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to evaluate both the risk of bias and clinical applicability of the included studies. This systematic review adhered to the 2020 PRISMA checklist.
The study included a total of 11 risk prediction models from 11 studies. Medication regimen and age were the most common predictors. The use of PROBAST revealed that some essential methodological details were not thoroughly reported in these models. Due to limitations in methodology, all models were rated as having a high-risk for bias.
According to PROBAST, the current models for predicting medication adherence in patients with chronic diseases exhibit a high risk of bias. Future research should prioritise enhancing the methodological quality of model development and conducting external validations on existing models.
Based on the review findings, recommendations have been provided to refine the construction methodology of prediction models with an aim of identifying high-risk individuals and key factors associated with low medication adherence in chronic diseases.
This systematic review was conducted without patient or public participation.
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.
by Yawen Xu, Jiangxuan Yu, Rui Shen, Xueqi Shan, Wenlu Zhou, Junjie Wang
ObjectiveAlthough several acupuncture and moxibustion therapies have been tested in managing breast cancer-related lymphedema (BCRL), there is little consensus regarding the best options for treating this condition. This systematic review and network meta-analysis compared the efficacy of various acupuncture and/or moxibustion therapies for BCRL.
MethodsSeven databases and two clinical registration centers were searched from their inception to December 1st, 2023. The Cochrane Collaboration risk-of-bias assessment tool evaluated the quality of included RCTs. A pairwise meta-analysis was performed in STATA 16.0, while a network meta-analysis was performed in R 4.2.2.
Results18 studies were included in this analysis. Our results showed that acupuncture and moxibustion methods had great advantages in improving BCRL of patients with breast cancer. In particular, needle-warming moxibustion (NWM) could be the optimal acupuncture and moxibustion method for improving clinical effectiveness and reducing the degree of swelling of affected limbs.
ConclusionOur findings suggest that NWM has great potential in treating BCRL. It may reduce arm circumference, lower swelling levels, and improve clinical effectiveness. Nevertheless, more multi-center, high-quality, and large sample RCTs will be needed in the future.
The meta-analysis aimed to assess renal function (RF) as a risk factor for diabetic foot ulcers (DFUs). Using dichotomous or contentious random or fixed effect models, the outcomes of this meta-analysis were examined, and the odds Ratio (OR) and the mean difference (MD) with 95% confidence intervals (CIs) were computed. 16 examinations from 2004 to 2023 were enrolled for the present meta-analysis, including 808 914 individuals with diabetes mellitus (DM). DFU had significantly higher chronic renal failure (OR, 3.17; 95% CI, 1.97–5.09, p < 0.001), higher serum Creatinine (MD, 29.30; 95% CI, 9.68–48.92, p = 0.003), and a low estimated glomerular filtration rate (MD, −15.31; 95% CI, −19.36 to −11.26, p < 0.001) compared to non-DFU patients with DM. The examined data revealed that DFU had significantly higher chronic renal failure, higher serum Creatinine, and a low estimated glomerular filtration rate compared to non-DFU patients with DM. Yet, attention should be paid to its values since some comparisons had a low number of selected studies.
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