Fear of cancer recurrence and associated factors in family caregivers of patients with hematologic malignancy receiving chemotherapy: A latent profile analysis.

Objective: This study identified the potential subgroups of fear of cancer recurrence (FCR) in family caregivers (FCs) of patients with hematologic malignancies receiving chemotherapy, as well as exploring factors associated with subgroups. Methods: This was a cross-sectional study involving 206 pairs of participating patients with hematologic malignancies receiving chemotherapy and their FCs. Using Mplus 8.3 to perform the latent profile analysis of FCs' FCR, the FCs' burden, quality of life, psychological resilience, and anxiety as well as their demographic characteristics were compared between the subgroups, with a logistic regression analysis being applied to examine the factors associated with the FCR subgroups. Results: A total of 206 FCs were classified into two subgroups: "a low level of FCR" (Class 1, 65.4%) and "a high level of FCR" (Class 2, 34.6%). Quality of life, anxiety, and frequency of chemotherapy were significantly associated with the two subgroups. Conclusions: FCs of patients with hematologic malignancy receiving chemotherapy had two FCR subgroups, "a low level of FCR" and "a high level of FCR", in association with quality of life, anxiety, and frequency of chemotherapy. These findings provide the theoretical foundations for screening the FCR factor of FCs and conducting interventions for them.

Analysis of the clinical characteristics and prognosis of adult de novo acute myeloid leukemia (none APL) with PTPN11 mutations.

We discuss the clinical characteristics and prognostic significance of adult individuals with PTPN11 mutations who have developed acute myeloid leukemia (AML) (none acute promyelocytic leukemia). Next generation sequencing and Sanger sequencing were used to detect 51 gene mutations, and multiplex-PCR was used to detect 41 fusion genes from 232 de novo adult AML patients retrospectively. About 7.76% patients harbored PTPN11 mutations, 20 PTPN11 alterations were identified, all of which were missense mutations in the N-SH2 (n = 16) and PTP (n = 4) domains located in exon 3. Patients with PTPN11 mut had significantly higher platelet counts and hemoglobin levels (p < 0.001), which were mainly detected in M5 (n = 12, 66.67%, p < 0.001) subtype. Patients with MLL-AF6 positive showed a higher frequency of PTPN11 mut (p = 0.018) in the 118 AML cases. PTPN11 mut were accompanied by other mutations, which were NPM1 (44.44%), DNMT3A (38.89%), FLT3 (38.89%), and NRAS (17.2%). PTPN11 mut had a negative impact on the complete remission rate in M5 subtype patients (p < 0.001). However, no statistically significant effect on overall survival (OS) with PTPN11 mut patients in the whole cohort and age group (p > 0.05) was observed. Further analysis revealed no significant difference in OS among NPM1 mut/PTPN11 mut, NPM1 mut/PTPN11 wt, DNMT3A mut/PTPN11 mut, and DNMT3A mut/PTPN11 wt patients (p > 0.05). Multivariate analysis showed the proportion of bone marrow blasts ≥65.4% was a factor significantly affecting OS in PTPN11 mut patients (p = 0.043).

An Externally Validated Nomogram for Predicting the Overall Survival of Patients With Diffuse Large B-Cell Lymphoma Based on Clinical Characteristics and Systemic Inflammatory Markers.

Background: Systemic inflammatory indicators are clinically significant in guiding diffuse large B-cell lymphoma (DLBCL) prognosis. However, which inflammatory markers are the best predictors of DLBCL prognosis is still unclear. In this study, we aimed to create a nomogram based on the best inflammatory markers and clinical indicators to predict the overall survival of patients with DLBCL. Patients and methods: We analyzed data from 423 DLBCL patients from two institutions and divided them into a training set, an internal validation set, and an external validation set (n = 228, 97, and 98, respectively). The least absolute shrinkage and selection operator and Cox regression analysis were used to develop nomograms. We assessed model fit using the Akaike information criterion and Bayesian information criterion. The concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the nomogram's predictive performance and clinical net benefit and compared with the International Prognostic Index (IPI) and National Comprehensive Cancer Network (NCCN)-IPI. Results: The inclusion variables for the nomogram model were age, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase level, the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), and ß-2 microglobulin (ß-2 MG) level. In the training cohort, the nomogram showed better goodness of fit than the IPI and NCCN-IPI. The C-index of the nomogram (0.804, 95% CI: 0.751-0.857) outperformed the IPI (0.690, 95% CI: 0.629-0.751) and NCCN-IPI (0.691, 95% CI: 0.632-0.750). The calibration curve, ROC curve, and DCA curve analysis showed that the nomogram has satisfactory predictive power and clinical utility. Similar results were found in the validation cohort. Conclusion: The nomogram integrated with the clinical characteristics and inflammatory markers is beneficial to predict the prognosis of patients with DLBCL.

A Novel and Validated Inflammation-Based Prognosis Score (IBPS) Predicts Outcomes in Patients with Diffuse Large B-Cell Lymphoma.

Purpose: We aimed to create a novel prognostic score, the inflammation-based prognosis score (IBPS). In addition, we attempted to establish and validate a nomogram to predict the overall survival (OS) of patients with DLBCL. Patients and Methods: We retrospectively investigated the data of 213 patients with DLBCL diagnosed and treated in the Affiliated Hospital of Jiangnan University and used these data to develop nomograms. At the same time, 89 patients diagnosed and treated in Wuxi People's Hospital Affiliated with Nanjing Medical University from January 2015 to June 2021 were collected as an external validation cohort. We developed IBPS through the least absolute shrinkage and selection operator (LASSO) Cox regression. The univariate and multivariate Cox regression method was used to develop the nomogram. We used the concordance index (C-index), calibration chart, time-dependent receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and the Kaplan-Meier curve were used to assess the nomogram. Results: The systemic immune inflammation index (SII), prognostic nutrition index (PNI), and modified Glasgow prognostic score (mGPS) were used to construct IBPS. The Eastern Cooperative Oncology Group performance status (ECOG PS), IBPS, response to treatment, and whether accept surgery were used to construct the nomogram to predict the OS of DLBCL patients. The C-index in the training and validation cohorts were 0.844 and 0.828, respectively. According to the time-dependent ROC curve and DCA, the nomogram has good predictive accuracy and clinical net benefit. The Kaplan-Meier curve showed that according to the nomogram score, patients in the training and validation cohorts could be classified into three risk groups. Conclusion: In patients with DLBCL, baseline IBPS was a reliable predictor of OS. The survival probability of DLBCL patients can be precisely predicted using the prognosis nomogram based on IBPS.

Study on Nursing Effect of Psychological Intervention on Uremic Hemodialysis Patients.

Aim: Patients in the hemodialysis stage are prone to psychological pressure of depression and anxiety and have resistance, which affects the clinical treatment effect. Effective psychological intervention plays a very important role in improving patients' psychological pressure and patients' compliance. The aim of this study is to explore the nursing effect of psychological intervention on uremic hemodialysis patients. Methods: There were 126 uremic hemodialysis patients admitted to the hospital from August 2020 to December 2021. The patients were randomly divided into the routine nursing care group (n = 63) and psychological intervention group (n = 63). The routine nursing care group received routine nursing care for uremia hemodialysis patients. The psychological intervention group implemented psychological intervention on uremia hemodialysis patients. The methods of psychological intervention mainly include establishing a good nurse-patient relationship, popularizing hemodialysis knowledge, timely psychological counseling for patients, and organizing patient communication meetings. The treatment compliance, Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) of the two groups were compared before and after nursing. SF-36 scale was used to evaluate the quality of life of patients. The incidence of complications and nursing satisfaction were compared between the two groups. Results: The treatment compliance rate and nursing satisfaction of hemodialysis uremic patients in the psychological intervention group were significantly higher than the routine nursing care group. The SAS and SDS of hemodialysis uremia patients in the psychological intervention group were significantly lower than the routine nursing care group after psychological intervention, and SF-36 scale was significantly higher than the routine nursing group. The main complications of uremic hemodialysis patients are hypotension, hyperkalemia, internal fistula occlusion, and infection. Compared with the routine nursing care group, the incidence of complications in the psychological intervention group was significantly reduced. Conclusion: The implementation of psychological nursing intervention for uremic hemodialysis patients have a very significant effect on reducing the incidence of complications and improving anxiety, depression, treatment compliance, and the quality of life and the nursing satisfaction.

Comfort nursing can alleviate pain and negative emotion of patients after surgery for LVCFs and improve their living ability.

OBJECTIVE: To determine the effect of comfort nursing in elderly patients with lumbar vertebral compression fractures (LVCFs). METHODS: A total of 194 elderly patients with LVCFs were enrolled, and assigned to two groups based on different nursing intervention methods. Among them, 93 patients were given routine nursing intervention as a control group (CON group), while the rest 101 patients were given comfort nursing as an intervention group (INT group). The visual analog scale (VAS) was adopted to evaluate patients' pain and Japanese Orthopaedic Association score (JOA) to evaluate their dysfunction. In addition, Barthel score was used to evaluate patients' self-care ability, and the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were adopted to score their anxiety and depression. Moreover, the compliance and nursing satisfaction of the two groups were investigated. RESULTS: After nursing, t VAS, SAS, and SDS scores of both groups declined significantly, and these scores of the INT group declined more notably. After nursing, the JOA and Barthel scores of the two groups increased greatly, and both scores of the INT group were significantly higher than those of the CON group. Additionally, the INT group consumed significantly less analgesic drugs and experienced significantly shorter hospital stay than the CON group. Moreover, according to the survey on nursing compliance and nursing satisfaction, the INT group showed significantly higher nursing compliance and nursing satisfaction than the CON group. CONCLUSION: For elderly patients with LVCFs, comfort nursing can effectively relieve their postoperative pain and negative emotion and improve their daily living ability.

Effect of PDCA-based nursing management model on the quality of life and complications of patients with acute leukemia undergoing chemotherapy.

OBJECTIVE: To assess the influence of PDCA-based nursing management model on the quality of life (QOL) and complications of patients with acute leukemia undergoing chemotherapy. METHODS: In this study, we randomly divided 118 patients with acute leukemia undergoing chemotherapy in our hospital into an observation group (n=59) and a control group (n=59). The control group was implemented routine nursing while the observation group was implemented PDCA-based nursing management. The anxiety, depression, QOL, cancer fatigue, total complication rate, sleep quality, and patients' satisfaction were compared between the two groups. RESULTS: The SAS and SDS scores of the observation group were significantly lower than those of the control group (P<0.05). The scores of physical function, general health, social function, emotional role, and mental health of the observation group were superior to those of the control group (all P<0.05). The 4 dimensions of behavior/severity, sense, emotion and cognition/mood in the observation group were significantly lower than those of the control group (all P<0.05). The incidence of complications such as nausea and vomiting, infection, bleeding, phlebitis, bone marrow suppression and mucositis in the observation group was significantly lower than that in the control group (P<0.05). The scores of sleep quality in the observation group were significantly lower than those of the control group (all P<0.05). The observation group's satisfaction with PDCA-based nursing management was markedly higher than that of the control group (P<0.05). CONCLUSION: The PDCA-based nursing management model applied to patients with acute leukemia undergoing chemotherapy has shown good effects, which can improve depression, anxiety, cancer fatigue, sleep quality and QOL. It also significantly reduced the incidence of complications and improved patients' satisfaction, which was worth of clinical application.

Effect of predictive trauma care on fracture healing and complications of traumatic fracture patients in emergency department.

OBJECTIVE: To explore the advantages of predictive trauma care in fracture healing and prevention of complications in patients with traumatic fracture. METHODS: Through prospective research methods, 80 patients with traumatic fractures were divided into a research group and a control group, each with 40 cases. The control group was given regular emergency care, while the research group was given predictive trauma care. The related clinical indicators, complications and scores on changes in joint range of motion (ROM), mental status and quality of life before and after intervention were compared between the two groups. RESULTS: Compared with the control group, the time of pain relief, fracture recovery and hospital stay of the research group was significantly shortened (all P<0.01). The overall incidence of complications in the research group was lower than that in the control group (5.00% vs 20.00%, P<0.05). For patients with limb fractures, the ROM scores of the two groups after intervention were significantly higher than those before intervention, and the scores of the research group were higher than those of the control group (all P<0.05). Compared with the condition before intervention, the Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) scores of the two groups of patients were significantly reduced after intervention, and the scores of research group were lower than those of the control group (all P<0.05). Compared with the condition before intervention, the scores of physical function, social function, psychological function and daily life condition of the two groups of patients were significantly increased 3 months after discharge from hospital, and the scores of the research group were significantly higher than those of the control group (all P<0.05). CONCLUSION: Predictive trauma care can effectively reduce the risk of postoperative complications in patients with traumatic fractures, promote the fracture healing, relieve the patients' anxiety and depression, and improve their quality of life.