ObjectiveTo investigate the clinical features and nursing care of neuralgic amyotrophy.MethodsThe course of the treatment and nursing in a group of patients with idiopathic neuralgic amyotrophy was analyzed retrospectively.ResultsMyoatrophy was found in all patients, while 42% of patients were involved in both sides. Serious pain, as initial symptom, was found in 92% of patients. After medical and physical treatment, as well as holistic nursing care, the pain disappeared in 1～2 weeks in all patients but one. All patients had been followed up for 2～13 months, muscle power was recovered in 67% of all patients, partially recovered in 33% of patients.ConclusionThe careful nursing and observation is very helpful for recover of neuralgic amyotrophy and can decrease complications.

Objective:To screen the differentially expressed genes (DEG) related to inflammatory response associated with the prognosis of colon cancer based on the bioinformatics approach, and to construct and validate a prognostic model for colon cancer.Methods:RNA sequencing and clinical data of 472 colon cancer patients and normal colon tissues of 41 healthy people were retrieved from the Cancer Genome Atlas (TCGA) database. Gene expression related to prognosis of colon cancer and clinical data were retrieved from the International Cancer Genome Consortium (ICGC) database. The retrieval time was all from the establishment of library to November 2022. A total of 200 genes associated with inflammatory response obtained from the Gene Set Enrichment Analysis (GSEA) database were compared with the RNA sequencing gene dataset of colon cancer and normal colon tissues obtained from the TCGA database, and then DEG associated with inflammatory response were obtained. The prognosis-related DEG in the TCGA database were analyzed by using Cox proportional risk model, and the inflammatory response-related DEG were intersected with the prognosis-related DEG to obtain the prognosis-related inflammatory response-related DEG. The prognostic model of colon cancer was constructed by using LASSO Cox regression. Risk scores were calculated, and colon cancer patients in the TCGA database were divided into two groups of low risk (< the median value) and high risk (≥the median value) according to the median value of risk scores. Principal component analysis (PCA) was performed on patients in both groups, and survival analysis was performed by using Kaplan-Meier method. The efficacy of risk score in predicting the overall survival (OS) of colon cancer patients in the TCGA database was analyzed based on the R software timeROC program package. Clinical data from the ICGC database were applied to externally validate the constructed prognostic model, and patients with colon cancer in the ICGC database were classified into high and low risk groups based on the median risk score of patients with colon cancer in the TCGA database. By using R software, single-sample gene set enrichment analysis (ssGESA), immunophenotyping difference analysis, immune microenvironment correlation analysis, and immune checkpoint gene difference analysis of immune cells and immune function were performed for prognosis-related inflammation response-related DEG in the TCGA database.Results:A total of 60 inflammatory response-related DEG and 12 prognosis-related DEG were obtained; and 6 prognosis-related inflammatory response-related DEG (CCL24, GP1BA, SLC4A4, SRI, SPHK1, TIMP1) were obtained by taking the intersection set. LASSO Cox regression analysis showed that a prognostic model for colon cancer was constructed based on 6 prognosis-related inflammatory response-related DEG, and the risk score was calculated as = -0.113×CCL24+0.568×GP1BA+ (-0.375)×SLC4A4+(-0.051)×SRI+0.287×SPHK1+0.345×TIMP1. PCA results showed that patients with colon cancer could be better classified into 2 clusters. The OS in the high-risk group was worse than that in the low-risk group in the TCGA database ( P < 0.001); the area of the curve (AUC) of the prognostic risk score for predicting the OS rates of 1-year, 3-year, 5-year was 0.701, 0.685, and 0.675, respectively. The OS of the low-risk group was better than that of the high-risk group in the ICGC database; AUC of the prognostic risk score for predicting the OS rates of 1-year, 2-year, 3-year was 0.760, 0.788, and 0.743, respectively. ssGSEA analysis showed that the level of immune cell infiltration in the high-risk group in the TCGA database was high, especially the scores of activated dendritic cells, macrophages, neutrophils, plasmacytoid dendritic cells, T helper cells, and follicular helper T cells in the high-risk group were higher than those in the low-risk group, while the score of helper T cells 2 (Th2) in the high-risk group was lower compared with that in the low-risk group (all P < 0.05); in terms of immune function, the high-risk group had higher scores of antigen-presenting cell (APC) co-inhibition, APC co-stimulation, immune checkpoint, human leukocyte antigen (HLA), promotion of inflammation, parainflammation, T-cell stimulation, type Ⅰ interferon (IFN) response, and type ⅡIFN response scores compared with those in the low-risk group (all P < 0.05). The results of immunophenotyping analysis showed that IFN-γ-dominant type (C2) had the highest inflammatory response score, and the differences were statistically significant when compared with trauma healing type (C1) and inflammatory response type (C3), respectively (all P < 0.05). Immune microenvironment stromal cells and immune cells were all positively correlated with prognostic risk scores ( r values were 0.35 and 0.21, respectively, both P < 0.01). The results of immune checkpoint difference analysis showed there was a statistically significant difference in programmed-death receptor ligand 1 (PD-L1) expression level between high-risk group and low-risk group ( P = 0.002), and PD-L1 expression level was positively correlated with prognostic risk score ( r = 0.23, P < 0.01). Conclusions:Inflammatory response-related genes may play an important role in tumor immunity of colon cancer and can be used in the prognostic analysis and immunotherapy of colon cancer patients.

INTRODUCTION: This study aimed to elucidate the cognitive profile of patients with mild cognitive impairment with Lewy bodies (MCI-LB) and to compare it to that of patients with mild cognitive impairment due to Alzheimer's disease (MCI-AD). METHODS: Subjects older than 60 years with probable MCI-LB (n = 60) or MCI-AD (n = 60) were recruited. All patients were tested with Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to assess their global cognitive profile. RESULTS: The MCI-AD and MCI-LB patients did not differ in total MMSE and MoCA scores. However, some sub-items in MMSE and MoCA were shown to be screening markers for differentiating MCI-LB from MCI-AD. In the visuoconstructive test, the total score and hands subitem score in the clock-drawing test were significantly lower in MCI-LB than in MCI-AD. As for the executive function, the 'animal fluency test', 'repeat digits backward test' and 'take paper by your right hand' in MMSE all showed lower scores in MCI-LB compared with MCI-AD. As for memory, 'velvet' and 'church' in MoCA and 'ball' and 'national flag' in MMSE had lower scores in MCI-AD than in MCI-LB. CONCLUSION This study presents the cognitive profile of patients with MCI-LB. In line with the literature on Dementia with Lewy bodies, our results showed lower performance on tests for visuoconstructive and executive function, whereas memory remained relatively spared in the early period.
Humans ; Cognitive Dysfunction ; Alzheimer Disease/diagnosis* ; Neuropsychological Tests ; Cognition