Conectar
by Qinghua Wen, Xiaoyue Wang, Simin Li, Huanhuan Zhu, Fengyin Zhang, Chao Xue, Juan Li
BackgroundThe glucose disposal rate (eGDR) and a body shape index (ABSI) are predictors strongly associated with cardiovascular disease (CVD) and outcomes. However, whether they have additive effects on CVD risk is unknown. This study aimed to investigate whether combined assessment of eGDR and ABSI could improve prediction of CVD risk.
MethodsThe current study used data from NHANES from 1999 to 2018 and included 14,237 participants. Receiver operating characteristic (ROC) curve was used to evaluate the performance of each indicator in predicting CVD. Machine-learning algorithms were applied to screen variables to adjust the model. Finally, the ROC curve, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the combination of eGDR and ABSI.
ResultsThe ROC curve showed that eGDR (C-statistics: 0.7255) and ABSI (0.7093) had the highest predictive performance. Among 14,237 participants, multivariate logistic regression showed that lower eGDR (≤6.448) and higher ABSI (≥0.086) significantly increased CVD risk (OR = 11.792, P Conclusion
The eGDR and ABSI have potential additive effects on predicting CVD risk, and have excellent predictive performance, which can evaluate cardiovascular risk more comprehensively.
To explore the network characteristics of symptom clusters in people with type 2 diabetes mellitus through network analysis, identify the core and bridging symptoms within the symptom network, and provide a foundation for targeted interventions and symptom management in people with T2DM.
A cross-sectional survey.
A total of 360 people with T2DM who were hospitalised in the endocrinology departments of two hospitals with Grade A in Daqing City between August 2024 and February 2025 were selected using a convenience sampling method. The symptoms of people with T2DM were measured using the Chinese version of the Diabetes Symptom Checklist-Revised (DSC-R). Symptom clusters were identified through factor analysis, and network analysis was used to identify core and bridging symptoms. This research adhered to the STROBE guidelines.
Six symptom clusters were obtained from factor analysis, which were psychological-behavioural symptom cluster, ophthalmological-neuropathy symptom cluster, cardiovascular symptom cluster, metabolic symptom cluster, body symptom cluster and nephrotic symptom cluster. Symptom network analysis revealed that ‘Deteriorating vision’ exhibited the highest strength centrality and expected influence. The top three symptoms with the highest bridge strength and bridge expected influence were ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’.
People with T2DM commonly exhibit a range of symptoms. ‘Deteriorating vision’ is the most core symptom in people with T2DM. ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’ are identified as the bridging symptoms in the network analysis. Healthcare professionals can design targeted interventions based on symptom clusters, core symptoms and bridging symptoms, thereby improving the efficiency of symptom management and optimising outcomes for people with T2DM.
No patient or public contribution.
To compare and rank the efficacy of different non-pharmacological interventions on anxiety, depression, sleep disorders, and the quality of life in liver transplantation patients.
In recent years, numerous non-pharmacological interventions have been developed to address anxiety, depression, sleep disorders, and the quality of life in liver transplantation patients. However, it remains unclear which non-pharmacological intervention serves as the most effective and preferred approach.
A systematic review and network meta-analysis in accordance with the PRISMA guidelines.
Relevant randomised controlled trials were extracted from eight electronic databases. A network meta-analysis was then performed to evaluate the relative efficacy of the non-pharmacological interventions for liver transplantation patients. The quality of the data was assessed using the Cochrane Risk of Bias tool. We registered this study in PROSPERO, number CRD42023450346.
A total of 25 randomised controlled trials were included. Spouse support education combined with mindfulness training, individualised psychological intervention, and cognitive behavioural therapy were found to be significantly effective for both anxiety and depression. The top three interventions against anxiety were spouse support education combined with mindfulness training, individualised psychological intervention, and exercise rehabilitation training. Meanwhile, individualised psychological intervention, spouse support education combined with mindfulness training, and cognitive behavioural therapy were the top-ranked three interventions for reducing depression. Sleep hygiene education was the most effective to improve sleep disorders. Continuous care based on a mobile medical platform emerged as the most effective intervention in improving the quality of life.
Several non-pharmacological interventions appeared to be effective in treating anxiety, depression, sleep disorders, and improving the quality of life among liver transplantation patients. More high-quality clinical trials should be incorporated in the future to investigate the reliability of existing findings.
Healthcare professionals should be encouraged to apply these promising non-pharmacological interventions during clinical care.
This study did not directly involve patients or public contributions to the manuscript.
This study examined the feasibility of non-invasive infrared thermography to monitor skin graft viability. Sixty-three patients with skin defects attending a single institution from May 2022 to August 2023 were included. Patients underwent full-thickness or split-thickness skin grafts based on clinical indication. Infrared thermal images were obtained on postoperative days 0, 2, 4, 6 and 8. The temperature difference between the skin graft and surrounding normal skin was assessed using image analysis software. All 33 patients with full-thickness skin grafts showed successful healing. Among the 30 patients with split-thickness skin grafts, 7 experienced failure. The groups with successful full-thickness and split-thickness skin grafts exhibited a gradual increase in graft temperature, peaking on postoperative day 6 and decreasing on postoperative day 8. Temporal temperature changes were significant in each patient group (p < 0.001), and the differences in temperature change patterns between the two groups with successful grafts and the group with graft failure were also significant (p < 0.001). On postoperative day 6, the temperature difference was highest in the full-thickness skin graft group (0.197 ± 0.335°C), followed by the successful split-thickness skin graft group (0.426 ± 0.428°C), and the split-thickness skin graft group with graft failure (−2.100 ± 0.361°C). In conclusion, infrared thermal imaging can provide a non-invasive real-time assessment of graft status and predict graft success or failure.
To develop a predictive model for high-burnout of nurses.
A cross-sectional study.
This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer–Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software.
A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.
This study has developed and validated a predictive nomogram for identifying high-burnout in nurses.
The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully.
The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation.
No patient or public contribution.
This study sought to evaluate the perceptions of pressure injury (PI) management staff regarding skin failure (SF). Additionally, an analysis of influencing factors based on the collected data was conducted to establish a foundation for targeted SF training. A descriptive, cross-sectional survey was undertaken in October–November 2023, utilising a convenience sampling method involving selected management staff of PI from 16 provinces in China. A total of 501 nursing participants were included, exhibiting an overall perception level that was moderately low. Although the majority were aware of the possibility of SF (n = 417, 83.23%), only 60% reported an understanding of the fundamentals of SF, with the lowest level of comprehension observed in differentiating between SF and PI (n = 212, 42.31%). Overall attitudes were generally positive. Regarding behaviour, active learning was more prevalent (n = 340, 67.86%), but training is less (n = 287, 57.29%). Family education (n = 401, 80.04%) and nursing record monitoring (n = 426, 85.03%) demonstrated better behaviour. Further analysis revealed that training (t = 13.937, p < 0.001) and professional title (F = 4.681, p = 0.010) had a significant effect on participants' perceptions. These findings underscore that there remains a substantial lack of perception about SF amongst participants. Overall, participants exhibited a positive attitude towards SF, highlighting the need for future improvements in SF training.
Chronic obstructive pulmonary disease (COPD) causes airflow blockage and breathing-related issues. This chronic disease impacts people worldwide. Substantial evidence supports the use of cognitive behavioral therapy (CBT) to help patients with chronic illnesses cope with worrisome and painful symptoms. However, the impact of CBT on COPD outcomes is less understood.
In this study, we systematically summarized the effects of CBT on lung function, anxiety and depressive symptoms, and quality of life of patients with COPD.
Six English-language and four Chinese-language databases were systematically searched for relevant randomized controlled trials published through April 15, 2023. Studies in which CBT was the only difference in treatment administered to experimental and control groups were included in the review. The studies' risk of bias was evaluated using the Cochrane Criteria.
Sixteen studies (1887 participants) were included. The meta-analysis showed that CBT improved the percent-predicted forced expiratory volume in 1 second (FEV1%), forced vital capacity (FVC), FEV1/FVC ratio, maximal voluntary ventilation, peak expiratory flow, treatment compliance, and World Health Organization abbreviated quality of life, Self-rating Anxiety and Depression Scale, and St George's Respiratory Questionnaire scores compared with the control (all p < .05).
This review demonstrated that CBT improves the lung function, anxiety and depressive symptoms, treatment compliance, and quality of life of patients with COPD and can be used widely in the clinical treatment of this disease.
A meta-analysis study was executed to measure the effect of minimally invasive surgery (MIS) and open surgical management (OSM) on wound infection (WI) in female's cervical cancer (CC). A comprehensive literature study till February 2023 was applied and 1675 interrelated investigations were reviewed. The 41 chosen investigations enclosed 10 204 females with CC and were in the chosen investigations' starting point, 4294 of them were utilizing MIS, and 5910 were utilizing OSM. Odds ratio (OR) in addition to 95% confidence intervals (CIs) were utilized to compute the value of the effect of MIS and OSM on WI in female's CC and by the dichotomous approaches and a fixed or random model. The MIS had significantly lower WI (OR, 0.23; 95% CI, 0.15–0.35, p < 0.001) with no heterogeneity (I 2 = 0%) and postoperative aggregate complications (PACs) (OR, 0.49; 95% CI, 0.37–0.64, p < 0.001) in females with CC and compared OSM. However, MIS compared with OSM in females with CC and had no significant difference in pelvic infection and abscess (PIA) (OR, 0.59; 95% CI, 0.31–1.16, p = 0.13). The MIS had significantly lower WI, and PACs, though, had no significant difference in PIA in females with CC and compared with OSM. However, care must be exercised when dealing with its values because of the low sample size of some of the nominated investigations for the meta-analysis.
To assess the clinical data on the effectiveness of stem cell therapy for diabetic foot (DF) based on recent systematic reviews and meta-analyses (SRs/MAs). SRs/MAs that evaluate the clinical evidence on the efficacy of stem cell therapy for DF were identified through a systematic search in public databases. The methodological quality and evidence quality of the included SRs/MAs were assessed separately by two researchers. Eight SRs/MAs were included in this analysis. Since there were no registered protocol or exclusion criteria for the included SRs/MAs, the methodological quality was rated as critically low. There was no high-quality evidence available for the outcomes, and the evidence quality ranged from critically low to moderate. Evidence degradation was most commonly caused by the risk of bias, followed by imprecision, publication bias and inconsistency. In conclusion, stem cell therapy may be effective for DF. However, this conclusion should be approached with caution, considering the quality of the supporting SRs/MAs.
Single-port laparoscopy (SPL) has existed for several years. This meta-analysis was conducted to evaluate the efficacy of SPL compared with conventional laparoscopy (CL) in the treatment of benign gynecologic adnexal lesions. The purpose of this meta-analysis is to evaluate the superiority of SPL versus CL in the treatment of post-operative wound pain. The study looked for English-language publications from PubMed, Embase, Cochrane Library and the Web of Science until June 2023. The main result was the visual analogue scale (VAS) after 2, 4, 6, 8, 12, 24 and 48 h after operation. The paper contains 10 related papers by means of e-search. Of these, 4 were randomized controlled trials (RCTs), while 6 were non-RCTs. The results indicated that SPL and CL were significantly different after 2, 24 and 48 h after operation. SPL had lower post-operative pain after 2 h compared with CL (MD, −0.6; 95% CI, −0.98, −0.21; p = 0.002). After the operation, SPL also had a lower incidence of post-operative pain after 24 h compared with CL (MD, −0.59; 95% CI, −1.12, −0.06; p = 0.03). And the difference in pain was at 48 h after the most significant (MD, −0.49; 95% CI, −0.75, −0.23; p = 0.0002). But after 6, 8 and 12 h after operation, there was no significant difference in the degree of pain. Thus, SPL operations may result in a lower degree of pain than CL in both the post-operative and far post-operative phase.
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