[Clinical value of nomogram model in evaluating the prognosis of cholangiocarcinoma after interventional therapy].

Objective: To investigate the clinical value and efficacy of the nomogram model in evaluating the prognosis of cholangiocarcinoma after interventional therapy. Methods: The clinical data of 259 patients with cholangiocarcinoma who received interventional therapy at the First Affiliated Hospital of zhengzhou University from January 2014 to June 2021 were retrospectively analyzed, including 148 males and 111 females, aged from 26 to 91 (65±12) years. They were randomly divided into a training group (181 cases) and a validation group (78 cases) in a ratio of 7∶3. Cox regression analysis was performed in the training group, independent risk factors affecting the prognosis of patients were screened, and a nomogram for 6-month, 1-year, and 2-year survival was constructed. The performance of the nomogram was analyzed by calculating the area under the receiver operating characteristic curve (AUC) value, calibration curve, and decision curve, and the predictive efficacy of the model was evaluated in the validation group. Results: There was no significant difference in baseline data between the training group and the validation group, which was comparable. Regression analysis showed that T stage (T2: HR=0.147,95%CI: 0.077-0.281;T3: HR=0.207,95%CI: 0.122-0.351;T4: HR=0.864,95%CI: 0.537-1.393), tumor diameter (17-33 mm: HR=0.201,95%CI: 0.119-0.341;≥33 mm: HR=0.795,95%CI: 0.521-1.211) and differentiation degree(middle differentiation: HR=3.318,95%CI: 2.082-5.289;highly differentiation: HR=1.842,95%CI: 1.184-2.867) were risk factors affecting the prognosis of interventional therapy for cholangiocarcinoma. The AUC values of the survival curve prediction models were generally consistent between the training and validation groups, and the AUC values of the training group at 6 months, 1 year, and 2 years were 0.925 (95%CI: 0.888-0.963), 0.921 (95%CI: 0.877-0.964) and 0.974 (95%CI: 0.957-0.993), respectively. In the validation group, the 6-month, 1-year, and 2-year AUC values were 0.951 (95%CI: 0.911-0.991), 0.917 (95%CI: 0.857-0.977) and 0.848 (95%CI: 0.737-0.959), respectively, and the AUC values were all greater than 0.8, suggesting that the nomogram had better discrimination ability. The calibration curves of the prediction models of the two groups were basically consistent, and the shape of the calibration curves at 6 months and 1 year fitted the ideal curve, while the fitting degree of the calibration curves at 2 years was relatively poor. The decision curve showed the high clinical utility of this nomogram in predicting the 6-month, 1-year survival of patients with cholangiocarcinoma. Conclusions: T stage, tumor diameter, and differentiation are independent risk factors affecting the prognosis of patients with interventional cholangiocarcinoma, and the nomogram model proposed in this study has good distinguishing ability and exact clinical value for prognosis evaluation.

As-Required Filgrastim for Late-Onset Neutropenia Complicating Long-Term Clozapine Treatment: a Case Report.

Clozapine is considered the most effective antipsychotic for schizophrenia, but it can cause neutropenia and even agranulocytosis. We describe the first case in Hong Kong involving the use of filgrastim, a recombinant form of human granulocyte colony-stimulating factor, to enable clozapine continuation therapy for a severely ill patient with treatment-resistant schizoaffective disorder who developed recurrent neutropenia after almost 20 years of continuous clozapine therapy. Therefore, clinical vigilance is important, regardless of clozapine treatment duration. Filgrastim can facilitate long-term clozapine therapy in patients with clozapine-induced neutropenia.

Brief report: A randomized controlled trial of a compensatory cognitive training to improve prospective memory performance in people with schizophrenia or depression.

People with schizophrenia or depression have prospective memory (PM) deficits, which affect their daily living. Given the paucity of research into training to correct PM deficits, we subjected a group of participants to a Chinese version of the PM module of the Cognitive Compensatory Training (CCT-C-PM) intervention to study its effect on their PM performance. Specifically, we independently randomized two diagnostic cohorts (schizophrenia and depression) into control groups (occupational therapy only) or experimental groups (CCT-C-PM and occupational therapy). The schizophrenia cohort had 17 participants in its control group and 23 participants in its experimental group. The depression cohort had 10 participants in its control group and 12 participants in its experimental group. The sociodemographic information of the participants was collected. Their symptoms and PM performances were measured at baseline and after treatment (after the completion of the CCT-C-PM intervention in the experimental group and the same timeframe in the control group). The treatment effects were examined by a repeated measure analysis of variance/analysis of covariance and a post hoc Scheffé test. The effect sizes (Cohen's d) of treatments against the controls were also calculated. There was no difference between the experimental and control groups in either cohort in terms of sociodemographic data, symptoms, and PM measures at baseline. The sex combination differed across the groups in the depression cohort. We found that the CCT-C-PM improved PM, especially event-based PM, for which large effect sizes were seen. The effect on time-based PM was unclear and requires future study. Our findings suggest that the CCT-C-PM is a viable training method for improving PM.

Wilson Sims Fall Risk Assessment Tool Versus Morse Fall Scale in Psychogeriatric Inpatients: a Multicentre Study.

OBJECTIVE: To compare predictive validity of the Wilson Sims Fall Risk Assessment Tool (WSFRAT) with that of the Morse Fall Scale (MFS) in psychogeriatric inpatients. METHODS: Psychogeriatric patients from Shatin Hospital, Tai Po Hospital, Castle Peak Hospital, and United Christian Hospital who had fall incident between April 2019 and April 2020 were identified. Their fall risks were assessed by the WSFRAT and the MFS, and their falls incidents during hospitalisation were recorded. Patients were classified as having high fall risk when their MFS score was ≥45 and when their WSFRAT score was ≥7. Sensitivity, specificity, and positive and negative predictive values of the two scales were calculated. RESULTS: We identified 183 (90 male and 93 female) psychogeriatric patients aged ≥65 years who had fall incident and were assessed by both the WSFRAT and the MFS during the study period. Among the 183 patients, four sustained a fall during hospital stay, giving a prevalence of 2.19%. All four patients were classified as having high risk of fall by WSFRAT, but only two of them were classified so by MFS. The sensitivity of WSFRAT was 100%, which was higher than the 50% by MFS, but specificity of MFS was higher than that of WSFRAT (45.81% vs 54.75%). CONCLUSION: WSFRAT is a better fall risk assessment scale for psychiatric inpatients than MFS, because of higher sensitivity (100% vs 50%). It has items specific to psychiatric patients and should replace MFS in psychiatric settings.

Factors Associated with Falls in Psychogeriatric Inpatients and Comparison of Two Fall Risk Assessment Tools.

OBJECTIVES: Development of a fall prevention programme for psychogeriatric inpatients is required. Therefore, the present study aimed to investigate factors associated with falls in psychogeriatric inpatients and compare two fall risk assessment tools. METHODS: This study had two parts. First, all fall reports involving psychogeriatric inpatients in United Christian Hospital in 2016 were retrospectively reviewed. Factors associated with the falls were identified by comparing patients who had a fall incident and those who did not. Second, in a pilot study, 30 consecutive psychogeriatric inpatients were assessed for fall risk using the Morse Fall Scale (MFS) and the Wilson Sims Fall Risk Assessment Tool (WSFRAT), and outcomes were then compared with the modified Functional Ambulation Classification (MFAC). RESULTS: In 2016, 46 women and 47 men aged 65 to 94 years were admitted to the psychiatric wards (two women and two men were admitted twice). A total of 12 falls involving nine women and two men were reported. Over 66% of falls involved patients with dementia, 75% involved women, and over 50% occurred on the way to the bathroom, mostly during the night shift when the staffing level was low. In the pilot study, of 30 consecutive psychogeriatric inpatients, 20 were classified as high risk by the WSFRAT and 10 of them were also classified as high risk by the MFS. Those classified as high risk by WSFRAT matched perfectly with those classified as high risk by MFAC. However, 30% of those classified as high risk by MFAC were not classified as high risk by MFS. CONCLUSIONS: Patients with dementia and women had higher risk of fall. Extra proportion of at-risk patients are able to benefit from additional fall risk interventions when WSFRAT is used instead of MFS. Further studies are needed to calculate the psychometric properties of WSFRAT.