Objective:To explore the causes and influencing factors of financial toxicity in young breast cancer survivors, and to provide evidence for intervention program development to improve financial toxicity in young breast cancer survivors.Methods:Using descriptive qualitative research methods, 29 young breast cancer patients from September to December 2021 in Breast Surgery Follow-up Clinic of Fudan University Shanghai Cancer Center were interviewed. The Nvivo 12.0 qualitative data analysis software was used to analyze the data.Results:Four themes were extracted as following, direct cost of cancer treatment was the primary cause of financial toxicity, indirect costs related to cancer and treatment cannot be ignored, long-term effects of cancer and treatment further exacerbated financial toxicity, and cancer-related financial toxicity was also influenced by a variety of other factors.Conclusions:Multiple causes affected the experience of financial toxicity in young breast cancer survivors. The occurrence and risks of financial toxicity in young breast cancer survivors should be assessed. Intervention and support should be provided to meet the needs of young breast cancer survivors.

After undergoing the long-term lived experience of symptoms and suffering, chronic patients change the understanding of self and try to create or regain a coherent sense of self, resulting in different degrees of illness identity. This research reviewed the origin, connotation, assessment tools, and summarized the performance level, influencing factors and intervention studies of illness identity in patients with chronic disease. It would provide references for research of illness identity, and to provide new ideas for promoting patients with chronic diseases to cope with and manage diseases.

Objective To explore the potential categories and influencing factors of the fear of progression in patients with inflammatory bowel diseases(IBD).Methods IBD patients who received inpatient treatment in a tertiary hospital in Nanjing from July 2022 to July 2023 were selected as the study subjects by convenience sampling method.The General Demographic Information Questionnaire,the Chinese version of the Fear of Progression Questionnaire-Short Form(FoP-Q-SF),the Chinese version of Inflammatory Bowel Disease Self-efficacy Scale(IBD-SES),and Social Support Rating Scale(SSRS)were administered to the participants.We applied one-way ANOVA and Logistic regression analysis to identify the factors associated with the potential categories of the fear of progression.Results A total of 303 retumed questionnaires(out of the 310)were valid,resulting an effective response rate of 97.74％.According to the results of latent profile analysis,we classified the respondents into 3 categories by the fear of progression,namely"low risk fear of disease adaptation group"(n=127,41.91％),"medium risk fear of illness distress group"(n=139,45.88％),"high risk fear of dysfunction group"(n=37,12.21％).3 groups showed statistically significant differences in permanent address,self-rated financial pressure,current disease status and self-efficacy(P＜0.05).Conclusion Patients with IBD had obvious differences in characteristics on the fear of progression.Nursing personnel should formulate personalized intervention strategies based on the classification characteristics of the fear of progression of IBD patients.Moreover,nurses should focus on improving patients'self-efficacy and promoting patients to treat medical care,stress and emotion management correctly.

OBJECTIVE To provide references for the safe use of lorlatinib in clinical practice. METHODS The reporting odds ratio （ROR） method， Medicines and Healthcare Products Regulatory Agency comprehensive standard method （referred to as “MHRA method”） and the Bayesian confidence propagation neural network （BCPNN） method were used to detect adverse drug events （ADEs） signals of lorlatinib in the FDA Adverse Event Reporting System from the first quarter of 2019 to the fourth quarter of 2022. RESULTS & CONCLUSIONS Totally 114 overlapping ADEs signals of lorlatinib were detected by the three methods， among which there were 73 new suspicious ADEs signals which were not covered in the instruction of lorlatinib. When using loratinib in clinical practice， special attention should be paid to ADEs with a high number of cases and signals， such as various neurological diseases， psychiatric diseases， respiratory system， thoracic and mediastinal diseases； clinical manifestations included cerebral edema， cerebral infarction， pulmonary hypertension， mutism， decreased sexual desire， pleural effusion. The signals of mobile thrombophlebitis， radiation necrosis， mutism， vesicoureteral reflux not mentioned in the instructions were all strong in BCPNN detection with high specificity， to which we should pay attention in clinical application.

OBJECTIVE To mine and analyze severe cutaneous adverse reaction signals of 5 commonly used immune checkpoint inhibitors （ICIs）， and to provide reference for clinically safe use of drugs. METHODS Based on the FDA adverse events reporting system （FAERS） database，adverse drug events （ADEs） reports about severe cutaneous adverse reactions related to ipilimumab， nivolumab， pembrolizumab， atezolizumab and durvalumab were collected from listing in the United States to the fourth quarter of 2022. The ADE signals were mined and analyzed with reporting odds ratio （ROR） and Bayesian confidence propagation neural network （BCPNN）. RESULTS A total of 5 726 reports of severe cutaneous adverse reactions were collected， including 3 037 reports for nivolumab，1 465 reports for pembrolizumab， 130 reports for durvalumab， 429 reports for atezolizumab and 665 reports for ipilimumab. All 5 kinds of ICIs caused positive signals， the correlation degree of which was as follows： pembrolizumab＞atezolizumab＞nivolumab＞ipilimumab＞durvalumab. Stevens-Johnson syndrome（SJS） and toxic epidermal necrolysis （TEN） have been reported for all 5 ICIs， and the association was the strongest with pembrolizumab. CONCLUSIONS All 5 kinds of ICIs are associated with the risk of severe skin adverse reactions， and close attention should be paid to their clinical use， especially being cautious when using pembrolizumab. The combination of ICIs should be avoided as much as possible.

Objective To investigate and validate the effect of relevant parameters of pancreatic anatomic structure under standard pancreatic neck transection in predicting postoperative pancreatic fistula (POPF). Methods A total of 140 patients who underwent pancreaticoduodenectomy (PD) in The General Hospital of Western Theater Command from June 2016 to December 2019 were enrolled as prediction group, and 82 patients who underwent PD in the same hospital from January 2020 to March 2021 were enrolled as validation group. Baseline levels were compared between the two groups. A univariate analysis was performed for the prediction group to screen out the risk factors for POPF, and in the validation group, the interclass correlation coefficient (ICC) was used to compare the consistency between preoperative imaging measurements and actual intraoperative measurements. The risk factors for POPF were validated in each group. The t -test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between groups; the chi-square test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to investigate the risk factors for POPF. Youden index was calculated, GraphPad Prism was used to plot the receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC) was calculated. ICC was used for the reliability analysis of preoperative imaging measurements and actual intraoperative measurements. Results Pancreatic duct diameter at the pancreatic neck (odds ratio [ OR ]=0.347, 95% confidence interval [ CI ]: 0.192-0.626, P < 0.001), the major axis of the pancreatic neck parenchyma ( OR =1.127, 95% CI : 1.031-1.231, P =0.008), and the minor axis of the pancreatic neck parenchyma ( OR =1.350, 95% CI : 1.137-1.602, P =0.001) were risk factors for POPF. Pancreatic duct diameter at the pancreatic neck had an AUC of 0.785 (95% CI : 0.128-0.302, P < 0.001) and a cut-off value of 2.7 mm; the major axis of the pancreatic neck parenchyma had an AUC of 0.669 (95% CI : 0.564-0.774, P =0.006) and a cut-off value of 19.3 mm, and the minor axis of the pancreatic neck parenchyma had an AUC of 0.720 (95% CI : 0.627-0.813, P < 0.001) and a cut-off value of 9.9 mm. Preoperative imaging measurements were highly consistent with actual intraoperative measurements for 30 patients in the validation group, with an ICC of > 0.75 ( P < 0.001). Grouping validation of cut-off values showed that there was a significant different in the incidence rate of POPF between the high-risk group and the low-risk group based on pancreatic duct diameter at the pancreatic neck ( χ 2 =0.645, P =0.011), as well as between the high-risk group and the low-risk group based on the minor axis of the pancreatic neck parenchyma ( χ 2 =5.901, P =0.015). Conclusion Structural features of the pancreatic neck under standard pancreatic neck transection are risk factors for POPF, which can be differentiated by preoperative CT, and the method is easy and convenient in clinical practice.