Psychometric testing of the training needs for advance care planning scale for clinicians and nurses.

BACKGROUND: Studies have shown that Chinese Clinicians and nurses have positive attitudes toward ACP, but no local tools exist to assess their need for ACP knowledge and skills training. resulting in their inability to initiate ACP conversations as well as poor end-of-life care for patients. Therefore, this study aims to assess the needs of Chinese Clinicians and nurses for ACP knowledge and skills training and assess the validity and reliability of a questionnaire on the Training Needs for Advance Care Planning (TNACP) scale. METHODS: From October to November 2021, 170 clinicians and nurses were pre-surveyed using a preliminary draft of the questionnaire. The responses were screened using item analysis, Cronbach's alpha coefficient, and the intraclass correlation coefficient (ICC) to describe the internal consistency and stability of the questionnaire. The Content validity index (CVI), Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used to test the validity of the questionnaire. RESULTS: After independent samples t-test analysis, Except for the entry "A2", the critical ratio between the two groups of the remaining 23 items was statistically significant (p < 0.05). Based on the above screening methods, the "A2" item was deleted, and the final number of questionnaire items was 23. The I-CVI was 0.79-1.00, and the S-CVI/Ave was 0.90. Three common factors were extracted-the cumulative contribution rate was 69.969%, and the factor loading of all items was 0.506-0.843 (all > 0.40). The results of confirmatory factor analysis showed that the Training Needs for Advance Care Planning (TNACP) scale model fit well(X2/df = 2.504, RMSEA = 0.092, GFI = 0.809, AGFI = 0.745, CFI = 0.931, IFI = 0.932, TLI = 0.916); the Cronbach's α = 0.888 for the total questionnaire, and the three dimensions of Cronbach's α were 0.729 to 0.959; and the ICC for the overall scores between the test-retest evaluations was 0.884 (p < 0.001). CONCLUSIONS: The TNACP scale has good reliability and validity and can be used to assess Chinese Clinicians and nurses' training needs for implementing ACP.

Prevalence and associated risk factors for depression symptoms in adolescent girls with polycystic ovary syndrome: a hospital-based cross-sectional study.

Background: Depression symptoms are a growing concern for adolescent girls with PCOS around the world. However, relatively small samples have given varying reports of its prevalence and risk factors in previous studies. Therefore, there is an urgent need for further research on the prevalence and associated factors of depression among adolescent girls with PCOS. Methods: A cross-sectional study was performed from October 2021 to May 2022 using a questionnaire and examination of the medical records of a convenience sample of 335 adolescent girls with PCOS. The Chinese version of the Children's Depression Scale (CDI) was used to investigate depression symptoms. A multivariate logistic regression model was used to determine factors that were significantly associated with depression symptoms. Results: The prevalence of depression symptoms was 36.12% among adolescent girls with PCOS. A multivariate logistic regression model identified significant factors as perceived social support (95% CI: 0.921 ~ 0.965%, p = 0.000), sleep quality (95% CI: 1.134 ~ 1.324%, p = 0.000), belief illness (95% CI, 1.040 ~ 1.102%, p = 0.000), hirsutism (95% CI, 1.292 ~ 4.392%, p = 0.005), and LH/FSH ≥ 2 (95% CI, 1.939 ~ 6.369%, p = 0.000). Conclusion: Depression symptoms are an important problem among adolescent girls with PCOS in China. A comprehensive approach that encompasses social support, structured health education for the disease, and evaluation of the psychological status of PCOS girls with hirsutism (and) or LH/FSH ≥ 2 in time is important to minimize depression symptoms and improve psychological health among adolescent girls with PCOS.

The multimorbidity association of metabolic syndrome and depression on type 2 diabetes: a general population cohort study in Southwest China.

Background: Metabolic syndrome(MetS) and depression are independently associated with type 2 diabetes (T2DM) risk. However, little is known about the combined effect of MetS and depression on the risk of T2DM. The present study aims to prospectively explore the impact of MetS and depression on T2DM susceptibility among the Chinese general population. Methods: 6489 general population without T2DM adults in Southwest China were recruited from 2010 to 2012. Depression and MetS were prospectively assessed using a 9-item Patient Health Questionnaire(PHQ-9) and Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (CDS2020) during 2016-2020, respectively. Modified Poisson regression models were conducted to estimate relative risk(RR) and 95% confidence intervals (95%CI) for independent and combined associations of MetS and depression with an incidence of T2DM. Results: During a median follow-up of 6.6 years, 678 cases of T2DM were documented. Individuals with MetS were 1.33 times more likely to develop T2DM than those without MetS. The corresponding RR(95%CI) for depression with no depression was 1.45(1.22-1.72). Notably, compared with no MetS or depression, the multivariate-adjusted RR for a combined effect of MetS and depression on the risk of T2DM was 2.11(1.39-3.22). Moreover, an increased risk of T2DM was more apparent in those ≥ 60 years, males, and overweight. Conclusions: Individuals with multimorbidity of MetS and depression are at a higher risk of T2DM compared with those with no MetS or depression.

An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism.

BACKGROUND AND OBJECTIVE: Stroke is a disease with high mortality and disability. Importantly, the fatality rate demonstrates a significant increase among patients afflicted by recurrent strokes compared to those experiencing their initial stroke episode. Currently, the existing research encounters three primary challenges. The first is the lack of a reliable, multi-omics image dataset related to stroke recurrence. The second is how to establish a high-performance feature extraction model and eliminate noise from continuous magnetic resonance imaging (MRI) data. The third is how to integration multi-omics data and dynamically weighted for different omics data. METHODS: We systematically compiled MRI and conventional detection data from a cohort comprising 737 stroke patients and established PSTSZC, a multi-omics dataset for predicting stroke recurrence. We introduced the first-ever Integrated Multi-omics Prediction Model for Stroke Recurrence, MPSR, which is based on ResNet, Lnet-transformer, LSTM and dynamically weighted DNN. The MPSR model comprises two principal modules, the Feature Extraction Module, and the Integrated Multi-Omics Prediction Module. In the Feature Extraction module, we proposed a novel Lnet regularization layer, which effectively addresses noise issues in MRI data. In the Integrated Multi-omics Prediction Module, we propose a dynamic weighted mechanism based on evaluators, which mitigates the noise impact brought about by low-performance omics. RESULTS: We compared seven single-omics models and six state-of-the-art multi-omics stroke recurrence models. The experimental results demonstrate that the MPSR model exhibited superior performance. The accuracy, AUROC, specificity, and sensitivity of the MPSR model can reach 0.96, 0.97, 1, and 0.94, respectively, which is higher than the results of contrast model. CONCLUSION: MPSR is the first available high-performance multi-omics prediction model for stroke recurrence. We assert that the MPSR model holds the potential to function as a valuable tool in assisting clinicians in accurately diagnosing individuals with a predisposition to stroke recurrence.

Frailty-originated early rehabilitation reduces postoperative delirium in brain tumor patients: Results from a prospective randomized study.

Objective: To investigate the impact of frailty-originated, evidence-based early activity training on postoperative delirium in patients who have undergone brain tumor resection. Methods: A randomized controlled trial was conducted at the Second Affiliated Hospital of Zhejiang University School of Medicine, from July 2019 to June 2020. Data on the patients' general information, incidence and duration of delirium, duration of hospital stay, and activities of daily living were collected. From the first day after surgery, the patients were randomly assigned to either the traditional care group or the frailty-originated rehabilitation towards intracranial tumors using distinct evidence (FORTITUDE) group. Non-parametric, chi-square, and log-rank tests were used to compare the onset time and duration of postoperative delirium and activities of daily living performed by the participants between the two groups. Results: In total, 291 patients, 150 and 141 in the control group and FORTITUDE group, respectively, participated in the study. Patients in the FORTITUDE group had a lower incidence of postoperative delirium (15.6% vs. 28.7%, P â€‹= â€‹0.007), delayed onset of delirium (Z â€‹= â€‹-2.108, P â€‹= â€‹0.035), shorter duration of postoperative delirium (χ2 â€‹= â€‹26.67, P â€‹< â€‹0.001), shorter hospital stay (Z â€‹= â€‹-2.037, P â€‹= â€‹0.042), and higher scores in the activities of daily living one week (Z â€‹= â€‹-2.304, P â€‹= â€‹0.021) and one month (Z â€‹= â€‹-2.724, P â€‹= â€‹0.006) after surgery than in the control group. Conclusions: The FORTITUDE program was safe and effective in reducing the incidence and duration of postoperative delirium and improving the quality of life of patients who underwent brain tumor resection.

Thrombocytopenia after therapeutic hypothermia in severe traumatic brain injury.

OBJECTIVE: To investigate the clinical characteristics and significance of thrombocytopenia after therapeutic hypothermia in severe traumatic brain injury (TBI). METHODS: Ninety-six inpatients with severe brain injury were randomized into three groups: SBC (selective brain cooling) group (n=24), MSH (mild systemic hypothermia) group (n=30), and control (normothermia) group (n=42). The platelet counts and prognosis were retrospectively analyzed. RESULTS: Thrombocytopenia was present in 18 (75%), 23 (77%) and 15 (36%) patients in SBC group, MSH group and control group, respectively (P<0.01). Thrombocytopenia, in which the minimum platelet count was seen 3 days after hypothermia, showed no significant difference between SBC and MSH group (P>0.05). Most platelet counts (37 cases, 90%) in hypothermia group were returned to normal level after 1 to 2 days of natural rewarming. The platelet count in SBC group reduced by 16%, 27% and 29% at day 1, 3 and 5 respectively compared with the baseline value. Good recovery (GOS score 4-5) rate of thrombocytopenia 1 year after injury for hypothermia group (17 cases, 37%) was significantly lower than that of control group (P<0.01). CONCLUSIONS: Therapeutic hypothermia increases the incidence of thrombocytopenia in severe TBI, and patients with thrombocytopenia after therapeutic hypothermia are associated with unfavorable neurological prognosis.

[EFFECTIVENESS OF ROTATION-EMBEDDING TECHNOLOGY FOR TREATMENT OF MODERATE TO SEVERE INVERTED NIPPLES].

OBJECTIVE: To investigate the effectiveness of rotation-embedding technology for treatment of moderate to severe inverted nipples. METHODS: Between March 2012 and March 2014, 24 patients (39 nipples) with moderate to severe inverted nipples were treated using rotation-embedding technology. The age ranged from 28 to 42 years (mean, 32 years). The bilateral nipples involved in 15 cases, unilateral nipple in 9 cases, including 30 moderate inverted nipples, 9 severe inverted nipples. The first time operation was performed in the other patients except 1 patient who had received corrective operation of bilateral nipples. RESULTS: The operation was successfully performed in all patients; primary healing of incision was obtained; no swollen, bleeding, dehiscence, or blood flow obstacle occurred. All patients were followed up 5-24 months (mean, 12 months). The shapes of nipples were satisfactory; bilateral nipples were symmetrical basically; no nipple inversion recurred, and the nipple skins had good sensation. CONCLUSION: Using rotation-embedding technology can correct moderate to severe inverted nipples effectively.