Objective To systematically evaluate the advance care planning readiness assessment tools applicable to the elderly and to provide a reliable assessment tool for the development of advance care planning.Methods PubMed,Web of Science,Cochrane Library,Embase,CINAHL,Yimaitong,Wanfang Database,China National Know-ledge Network,VIP Database,and China Biomedical Literature Database were systematically searched.The search time limit is from database establishment to April 30,2024.Pre-established medical care plan readiness assessment tools that meet the inclusion criteria were screened,and the"consensus based standards for the selection of health measurement instruments"was used to evaluate the methodological quality and measurement attributes of the inclusion assessment tools.The improved version of the evidence quality evaluation and recommendation strength grading method is used to grade the evidence of the assessment tool and form the final recommendation opinion.Results A total of 14 articles were included,including 10 advance care planning readiness assessment tools suitable for the elderly.None of the articles reported cross-cultural validity,measurement error,and responsiveness.The content validity and internal consistency of the Chinese Advance Care Planning Readiness Scale and the Advance Care Planning Readiness Scale for Chronic Disease Patients were both"adequate",with A-level recommendations,and the remaining assessment tools were all B-level recommendations.Conclusion There are various types of advance care planning readiness assessment tools for the elderly,but the methodological quality needs to be improved and the measurement properties need to be further evaluated.It is temporarily recommended to use the Chinese Advance Care Planning Readiness Scale and the Advance Care Planning Readiness Scale for Chronic Disease Patients.

Objective:To develop and validate a clinical prediction model for assessing the risk of postoperative pulmonary complications (PPCs) in elderly patients undergoing surgery with general anesthesia.Methods:This prospective observational study enrolled patients aged ≥65 years who underwent general anesthesia with mechanical ventilation duration >3 hours across six tertiary hospitals between December 2022 and August 2023. Based on follow-up outcomes (until discharge or postoperative day 7), patients were categorized into a non-PPCs group and a PPCs group. Detailed records included baseline patient characteristics, preoperative comorbidities, surgical information (type, duration), and bedside lung ultrasound scores (LUS) assessed within 24 hours postoperatively using a standardized 12-zone protocol. Predictor selection was performed using LASSO regression. Significant predictors identified were incorporated into a multivariate logistic regression analysis to build the prediction model, visualized as a nomogram. Internal validation was conducted via bootstrap resampling (1 000 repetitions). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) for discrimination, calibration curves for calibration accuracy, and decision curve analysis (DCA) for clinical utility.Results:A total of 130 eligible elderly surgical patients were included. PPCs occurred in 17 patients (incidence rate: 13.1%). Multivariate analysis identified LUS ( OR=1.248, 95% CI: 1.099-1.417, P=0.001) and elective surgery type ( OR=0.206, 95% CI: 0.043-0.988, P=0.048) as independent predictors of PPCs. The nomogram model demonstrated an AUC of 0.867 (95% CI: 0.775-0.959) upon initial testing. Internal validation confirmed good discrimination (AUC=0.863, 95% CI: 0.778-0.972). Calibration curves indicated excellent agreement between predicted probabilities and observed outcomes. Decision curve analysis demonstrated significant clinical net benefit across a wide range of threshold probabilities (0.03-0.89). Conclusions:The clinical prediction model, developed using early postoperative LUS scores and surgical type, effectively predicts the risk of postoperative pulmonary complications in elderly patients following surgery under general anesthesia. The model exhibits strong discrimination, calibration, and clinical utility, providing clinicians with a reliable tool for individualized risk assessment to support clinical decision-making and potentially reduce PPC incidence.

Objective To systematically evaluate the advance care planning readiness assessment tools applicable to the elderly and to provide a reliable assessment tool for the development of advance care planning.Methods PubMed,Web of Science,Cochrane Library,Embase,CINAHL,Yimaitong,Wanfang Database,China National Know-ledge Network,VIP Database,and China Biomedical Literature Database were systematically searched.The search time limit is from database establishment to April 30,2024.Pre-established medical care plan readiness assessment tools that meet the inclusion criteria were screened,and the"consensus based standards for the selection of health measurement instruments"was used to evaluate the methodological quality and measurement attributes of the inclusion assessment tools.The improved version of the evidence quality evaluation and recommendation strength grading method is used to grade the evidence of the assessment tool and form the final recommendation opinion.Results A total of 14 articles were included,including 10 advance care planning readiness assessment tools suitable for the elderly.None of the articles reported cross-cultural validity,measurement error,and responsiveness.The content validity and internal consistency of the Chinese Advance Care Planning Readiness Scale and the Advance Care Planning Readiness Scale for Chronic Disease Patients were both"adequate",with A-level recommendations,and the remaining assessment tools were all B-level recommendations.Conclusion There are various types of advance care planning readiness assessment tools for the elderly,but the methodological quality needs to be improved and the measurement properties need to be further evaluated.It is temporarily recommended to use the Chinese Advance Care Planning Readiness Scale and the Advance Care Planning Readiness Scale for Chronic Disease Patients.

Objective To screen Cuproptosis genes and characteristic genes for differential prognosis in acute mye-loid leukemia(AML)and explore their prognosis in AML as well as their biological roles and correlations in the immune and tumor microenvironment.Methods AML clinical,transcriptome,genomic,and copy number data were downloaded from three major databases,TCGA,GEO,and UCSC,and Cuproptosis genes were collected from published studies.From the perspective of multiomics,the effects of Cuproptosis gene and characteristic gene on survival,immunity,tumor microenvironment,stem cell correlation and drug sensitivity were studied by various bioinformatics methods,meta-analysis and secondary typing.Results One Cuproptosis gene was identified as a differential prognostic gene in AML and five characteristic genes were identified as influencing the prognosis of AML patients by influencing Cuproptosis,and a prognostic model was established.The differential genes were mainly concentrated in mitochondrial activity,REDOX enzyme and energy metabolism.In terms of immunity,macrophage M0,neutrophils,activated memory CD4 T cells and Tregs were positively correlated with risk score,while macro-phage M2,resting mast cells,immature CD4 T cells,helper follicular T cells and memory B cells were negatively correlated with risk score.In terms of tumor microenvironment,the immune cell score of the low-risk group was lower than that of the high-risk group,and in the total score,the tumor microenvironment score of the low-risk group was also lower than that of the high-risk group,indicating that the tumor purity of the high-risk group was lower than that of the low-risk group.However,there was no significant association between stem cells in the high-risk and low-risk groups,and a total of 14 drugs were found to be sensitive to treat AML.Conclusion Cuproptosis gene and characteristic gene are closely related to immune and tumor microenvironment in AML by constructing a prognostic model of AML.

Objective:To investigate the effect and mechanism of vitamin D supplementation on Hashimoto′s thyroiditis(HT).Methods:Female SD rats were randomly divided into four groups by random number table method: control group, experimental autoimmune thyroiditis(EAT) control model group(model group), low-dose(VD1 group) and high-dose(VD2 group) active vitamin D intervention groups. The morphology of thyroid cells, thyroid function, thyroid antibodies, various CD4 + T cells, and related cytokine levels among different groups were compared. Results:The levels of thyroid peroxidase antibody(TPOAb) and thyroid globulin antibody(TgAb) in model group were significantly higher than those in control group, while the levels of VD1 and VD2 groups were significantly lower than those in model group( P<0.05). Compared with control group, HE staining in model group showed severe damage of follicular epithelial cells; Compared with model group, the degree of atrophy and destruction of follicular epithelial cells in VD1 and VD2 groups were reduced. The proportion of helper T cell(Th)1 and Th17 cells and related cytokine levels in model group were significantly higher than those in control group, while those in VD1 and VD2 groups were lower than those in model group( P<0.05); The proportion of regulatory T cell(Treg) cells and related cytokine levels in model group were significantly lower than those in control group, while those in VD1 and VD2 groups were higher than those in model group( P<0.05). Conclusions:After supplementing with vitamin D, the levels of TPOAb and TgAb in EAT rats decreased, and the number of various CD4 + T cells and related cytokine levels tended towards normalization. This suggests that vitamin D may improve HT by regulating CD4 + T cell differentiation, providing a theoretical basis for the role of vitamin D supplementation in HT treatment.

Objective:To analyze the clinical phenotype and genetic characteristics of probands in 3 pedigrees of complex hereditary spastic paraplegia type 5 (HSP5) who developed symptoms during childhood, and the genetic diagnostic methods of HSP5 to improve the diagnosis and differential diagnosis of this disease.Methods:The clinical data of 3 HSP5 families admitted to Henan Provincial People′s Hospital from June 2020 to January 2023 were collected. Whole exome sequencing (WES) was performed on the patients to analyze phenotype-related single nucleotide variation (SNV) and small fragment insertion/deletion (INDEL) variation. At the same time, the sequencing data were used to analyze the dynamic mutation regions of specific genes.Results:The probands in the 3 families had complex HSP: the proband in family 1 showed weakness of both lower limbs, urgency of urination and ataxia; the proband in family 2 showed slightly lower intelligence, weakness of both lower limbs, dysarthria, and brain magnetic resonance imaging showed white matter lesions; the proband in family 3 showed muscle weakness, spasm, frequent urination and ataxia of both lower limbs. The sequencing results showed that the CYP7B1 gene c.1171G>T (paternal) and c.1249C>T (maternal) compound heterozygous mutations were found in proband 1 and his younger brother. The CYP7B1 gene c.334C>T (paternal) and c.259+2T>C (maternal) compound heterozygous mutations were found in proband 2 and her younger sister. The CYP7B1 gene c.334C>T (paternal) and c.1082G>A (maternal) compound heterozygous mutations were found in proband 3. And c.1171G>T was a new variant that had not been reported before. Dynamic mutation analysis showed that the numbers of CAG repeats of ATXN1/2/3/6/7/8/12, DRPLA, TBP genes were within the normal range. According to the clinical manifestations and genetic examination results of the children in the 3 pedigrees, the diagnosis of HSP5 was clear. Conclusions:The 3 families in the study all had complex HSP5 caused by compound heterozygous mutations of the CYP7B1 gene. WES can analyze SNV, INDEL and dynamic mutations simultaneously to make the maximum clear diagnosis and can be used as an effective detection method for HSP5.

Objective:To summarize the clinical manifestations, neuroelectrophysiological characteristics and prognoses of Movan syndrome (MoS), and provide references for early diagnoses and prognoses.Methods:A retrospective analysis was performed. The clinical data, such as clinical symptoms, treatments and prognoses, laboratory test results and electrophysiological test results, of 13 patients with confirmed MoS in Department of Neurology, He'nan Provincial People's Hospital from January 2018 to October 2023 were collected.Results:Ten male MoS patients and 3 female ones were included. Main clinical manifestations of 13 patients with MoS included myokymia, pain, numbness of limbs, itching all over the body, hyperhidrosis, urinary and defecation disorder, tachycardia, insomnia, anxiety and depression. Ten patients completed the autoimmune encephalitis antibody detection: 3 only had positive anti-contactin-associated protein-like 2 (CASPR2) antibody, 2 only had positive anti-leucine-rich glioma-inactivated protein1 (LGI1) antibody, and 2 had both positive anti-CASPR2 antibody and anti-LGI1 antibody. Eleven patients completed tumor screening and 4 tumors (thymoma [ n=2], lung squamous cell carcinoma [ n=1] and adrenal non-Hodgkin's lymphoma [ n=1]) were noted. Ten patients completed electrocardiogram, including 3 patients with resting tachycardia and 2 patients with ST segment elevation. All patients completed the electromyographic examination; 12 patients showed abnormal motor unit potential, including myokymia potential, fasciculation potential and neuromyotonic potential; F-wave and/or M-wave post-discharge potentials were found in all patients. Follow up was performed for 1-12 months; in 9 non-tumor patients, 5 were improved in 6 patients accepted immunotherapy and one was improved in 3 patients received symptomatic treatment; in 4 tumor patients, only one was improved in 3 received immunotherapy. Conclusion:Myokymia, pain, urinary and defecation disorder, and severe insomnia are typical symptoms for MoS patients; serum anti-CASPR2/LGI1 antibody and electromyography results provide evidences for MoS diagnosis; early immunotherapy can improve the MoS prognosis, and MoS patients combined with tumors have poor clinical prognosis.

Objective : A convolutional neural network (CNN) model was established to automatically analyze flow cytometry (FCM) data to achieve the preliminary diagnosis of acute myeloid leukemia(AML) , and explore the feasibility of applying CNN model to FCM data analysis. Methods : The exploratory study of CNN application was carried out using the bone marrow FCM data obtained by the FlowRepository database and the Clinical Testing Center of Xinjiang Uygur Autonomous Region People ′ s Hospital , and the data had been clinically confirmed whether AML was present. Among them , the public data was divided into training sets , validation sets and test sets according to 6 ∶ 2 ∶ 2 , and local data was used for external test; In order to adapt the FCM data to the CNN model , an FCM data structure based on the image matrix principle was proposed , and after preprocessing the original data , the variables related to the preliminary diagnosis of AML were extracted , including sidescattered light and the expression levels of CD45 , CD13 , CD33 , HLA⁃DR , CD117 , CD34 , and each variable was written into the matrix. Cell sampling and data augmentation methods were used to increase the sample size of the training set , the keras software package was used to build the LeNet⁃5 CNN model in Python , and the training set and the validation set were used for model training and parameter tuning respectively to evaluate the performance of the model on the test set. Results : The accuracy of CNN to identify AML on the two test sets was 0. 931 , 0. 851 , the sensitivity was 0. 667 , 0. 636 , the specificity was 0. 968 , 0. 940 , and the area under the receiver operating characteristic curve was 0. 940 and 0. 917. Conclusion Based on the proposed FCM data structure , the CNN model can realize the preliminary diagnosis of AML , indicating that CNN has certain application value in FCM data analysis.

The report described one case of vascular paralysis syndrome during kidney transplantation to provide references for clinical practice.After intraoperative opening of kidney artery and vein, the recipient developed vascular paralysis syndrome.However, the efficacy is not obvious after dosing of norepinephrine.After an intravenous infusion of methylene blue, the recipient has a successful removal of tracheal intubation and recovered well.

The chemical constituents of solid rice culture of the endophytic fungus Aspergillus sp.Dq-25 from barnacle were isolated and purified by silica gel, Sephadex LH-20, C18 reversed silica gel column chromatography and recrystallization.Their structures were identified by the physical and chemical properties, and by various spectroscopic methods.Six compounds were isolated and identified as: demethyldihydropenicillic acid (1), dihydropenicillic acid (2), penicillic acid (3), fortisterol (4), 22E, 24R-3P, 5a-dihydroxyerogosta-7, 22-diene-6-one (5), and (22E, 24R)-ergosterol-7, 22-diene-3β, 5α, 9α-triol-6-one (6).Compound 1 was a new butyrolactone.MTT method was used to analyze cytotoxicity, and the result showed that compound 3 exhibited inhibitory activity on five cell lines, including K562, HeLa, SGC-7901, A542 and BEL-7402, with IC50 values of 38.0 ~ 105.0 μmol/L.