Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

ObjectiveTo investigate the current status of latent tuberculosis infection (LTBI) among the elderly population in rural areas of Changxing County, Zhejiang Province, and to provide an evidence for the development of LTBI prevention and control measures. MethodsBetween January and May 2024, elderly individuals participating in urban and rural residents’ health checkups were screened for Mycobacterium tuberculosis infection using a domestically produced interferon-γ release assay (IGRA) kit. Individuals tested positive by IGRA but without active tuberculosis were classified as LTBI cases. The prevalence of LTBI among the participants was subsequently analyzed. ResultsAmong the 6 765 subjects, 637 tested positive by IGRA, including one identified active tuberculosis patient, resulting in a LTBI prevalence rate of 9.40%. There was a statistically significant difference in positivity rates across different IGRA methodologies (χ²=35.530, P<0.001). Higher LTBI rate was observed in males, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis, exhibiting statistically significant differences (χ²=32.401, P<0.001; χ²=5.789, P=0.020; χ²=39.248, P<0.001, respectively.) No statistically significant difference in LTBI rate was found across different age groups (χ²=0.238, P=0.971). ConclusionThe prevalence of LTBI among the elderly rural residents in Changxing County is relatively low. Male, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis have an increased risk of LTBI, warranting targeted risk monitoring and timely interventions.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To systematically evaluate the clinical efficacy of the prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium in the treatment of postoperative thyroid cancer,and to provide evidence-based medical proof for clinical treatment of postoperative thyroid cancer.Methods Computer search was performed in the major domestic and oversea databases for the retrieval of clinical randomized controlled trials(RCTs)of prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium for the treatment of postoperative thyroid cancer.After screening the literature according to the inclusion and exclusion criteria,the quality of the included literature was evaluated using the tools for analysis of the bias recommended by Cochrane Reviewer's Handbook and the modified JADAD rating scale,and meta-analysis was performed using RevMan 5.4 software.Results A total of 11 RCTs involving 749 patients were eventually included.The results of meta-analysis showed that compared with Levothyroxine Sodium alone,prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium significantly enhanced the efficacy of postoperative patients with thyroid cancer(RR=1.30,95%CI[1.21,1.41],Z = 6.81,P＜0.000 01),and improved the thyroid functions parameters of serum thyroid stimulating hormone(TSH)(SMD=-1.75,95%CI[-2.38,-1.13],Z = 5.47,P＜0.000 01),thyroglobulin(TG)(SMD=-1.13,95%CI[-1.71,-0.55],Z = 3.81,P = 0.000 1),free triiodothyronine(FT3)(SMD=3.42,95%CI[0.73,6.10],Z = 2.50,P = 0.01),free thyroxine(FT4)(SMD=1.85,95%CI[0.05,3.66],Z = 2.02,P = 0.04),and thyroglobulin antibody(TgAb)(SMD=-0.63,95%CI[-1.11,-0.15],Z = 2.55,P = 0.01),increased Karnofsky Performance Status(KPS)scores(SMD= 2.19,95%CI[1.30,3.08],Z = 4.81,P＜0.000 01),shortened the time for the relief of clinical symptoms after thyroid cancer surgery(MD=-4.67,95%CI[-5.38,-3.96],Z = 12.87,P＜0.000 01),reduced the diameter of the largest thyroid nodule after thyroid cancer surgery(MD=-2.51,95%CI[-3.13,-1.89],Z = 7.94,P＜0.000 01),regulated the immune function indicators of T lymphocyte population CD3+(MD=8.68,95%CI[4.97,12.39],Z = 4.59,P＜0.000 01)and CD4+(MD=10.77,95%CI[5.46,16.08],Z = 3.97,P＜0.000 1)levels,and reduced the incidence of postoperative complications of thyroid cancer(RR=0.34,95%CI[0.18,0.65],Z = 3.26,P = 0.001).The differences were all statistically significant(P＜0.05).Conclusion prescriptions for softening hardness to dissipate mass combined with Levothyroxine Sodium can enhance the efficacy of postoperative patients with thyroid cancer.The combined therapy is superior to Levothyroxine Sodium alone in improving thyroid function indicators,KPS score,time for the relief of clinical symptoms,diameter of the largest thyroid nodule,immune function indicators,and the incidence of postoperative complications.However,due to the small amount of included trials and the fact that the prescriptions for softening hardness to dissipate mass vary in the composition,the conclusions of the analysis need to be confirmed by more high-quality,multi-center,large-sample clinically randomized controlled trials.

Objective To explore the influence and mechanism of lentiviral vector-mediated steroidogenic factor-1(SF-1)silence on decidual process of human endometrial stromal cells(hESCs).Methods The endometrial tissues of patients with endometriosis(EM)and normal pregnant women were collected,and the differential expression of SF-1 was detected by Real-time PCR and immunohistochemical staining.hESCs were isolated from the endometrial tissue of normal pregnancy and identified,hESCs were divided into control group,estradiol(E2)+progesterone(P4)group,short hairpin RAN(shRNA,sh)-normal control(NC)+E2+P4 group,sh-SF-1+E2+P4 group,after the corresponding processing,the morphological changes of hESCs were observed under an inverted microscope.Real-time PCR and Western blotting were used to detect the mRNA expression levels and protein levels of human insulin-like growth factor-binding protein-1(IGFBP-1)and prolactin(PRL)in cells,respectively,flow cytometry was used to determine the cycle distribution of the cells,immunofluorescence staining was used to observe the expression of the intracellular auto-bid microtubule-associated protein light chain 3(LC3),Western blotting was used to determine the protein level of intracellular autophagy-related proteins LC3-Ⅱ,LC3-Ⅰ and Beclin-1.Results The relative expression of SF-1 mRNA and the positive rate of SF-1 protein in endometrial tissue of EM patients were higher than those of normal pregnancy endometrial tissue(P<0.05).Compared with the sh-NC+E2+P4 group,the cells in the sh-SF-1+E2+P4 group were mostly long-spindle,and there was no obvious decidualization.The relative mRNA expression and protein expression of IGFBP1 and PRL were significantly down-regulated(P<0.05),the proportion of cells in G0/G1 phase was significantly decreased,the proportion of cells in S phase was significantly increased(P<0.05),the ratio of LC3-Ⅱ/LC3-Ⅰwas significantly increased,and the relative expression of Beclin-1 protein was also significantly up-regulated(P<0.05).Conclusion The expression of SF-1 in the endometrial tissue of EM patients is increased,and SF-1 silencing mediated by lentiviral vector can inhibit the decidualization process of hESCs,which may be related to regulating the level of autophagy.

ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (A_e) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10^-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.

Lyme disease is a natural zoonotic infectious disease transmitted by ticks infected by different genotypes of Borre-lia burgdorferi sensu lato,which was discovered in the 1970s.This pathogen is prevalent primarily in temperate and subtropi-cal areas.Dogs,cats,horses,cattle,deer,and other animals are susceptible,and humans are also susceptible hosts.The main symptoms of Lyme disease in humans are erythema migrans,arthritis,and other neurological symptoms,and the common symptoms in infected animals include joint diseases,coat shedding,fever,laminitis,and lameness.Lyme disease is wide-spread,but diagnosis is difficult,and this disease is easily misdiagnosed and missed.Awareness of Lyme disease must be in-creased to avoid its toll on livestock and the pet industry.Therefore,this article reviews research progress in diagnosis and con-trol technology for animal Lyme disease and Borrelia burgdorferi,to provide a reference for accurate,rapid diagnosis and con-trol of Lyme disease.

Objective To screen items of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome;To provide reference for the formulation and improvement of the scheme.Methods The Delphi method was used to distribute two rounds of questionnaires to 60 experts in cerebropathy or neurology across the country.Statistical analysis was performed on the questionnaire results of the scheme's items,including the disease names,etiology and pathogenesis,syndrome characteristics,rules and regulations,representative prescriptions,acupuncture and other therapies,and preventive care.Results Totally 42 and 50 valid questionnaires were collected.The experts reached the consensus for the importance of etiology and pathogenesis,rules and regulations,acupuncture and other therapies,and preventive care.In the section on syndrome characteristics,items with low relevance or causing ambiguity were removed.Items that were no longer used in modern times and different prescriptions with the same name were removed from the representative prescriptions.The names of syndromes,rules and regulations were unified.Conclusion The experts generally reached the consensus for the importance of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome.However,there are still some limitations that require further study and discussion.