目的  观察补肾益气方肾俞膏摩治疗结直肠癌康复期癌因性疲乏的临床疗效。方法  收集2023年6月—2024年6月结直肠癌康复期的80例住院及门诊患者，随机平均分为两组。行常规对症支持治疗的为对照组；在常规对症支持治疗上加用补肾益气方肾俞膏摩的为干预组；两组均连续治疗14天。于开始治疗前1天和治疗结束后1天分别进行疗效评估相关指标检测。于治疗前1天、治疗第7天和第14天进行不良反应检测。结果 干预组治疗后Piper评分、中医证候总积分、PSQI评分、KPS评分及免疫功能指标（CD₃⁺  、CD₄⁺、CD₈⁺  、CD₄⁺ /CD₈⁺ ）较治疗前均有明显改善；干预组发生不良反应少于对照组。结论  补肾益气方肾俞膏摩治疗能够有效改善结直肠癌患者的癌因性疲乏的治疗效果，提高生活质量和免疫功能，减少不良反应。

       Objective  To observe the clinical observation of Shenshu Tuina combined with Bushen Yiqi herbal ointment in the treatment of cancer-induced fatigue in the convalescent stage of colorectal cancer and evaluate the efficacy．Methods  From June 2023 to June 2025，80 inpatients and outpatients of colorectal cancer in the  recovery period were collected and  randomly divided into two groups．The patients who received routine symptomatic supportive treatment were enrolled as the control group．The intervention group was given Shenshu Tuina combined with Bushen Yiqi herbal ointment on the basis of control group．The relevant indicators for efficacy evaluation were tested one day before treatment and one day after the end of treatment．Adverse reactions were detected on the day before treatment，theseventh day and 14th day during treatment．Results  The efficacy evaluation indexes of the intervention group after treatment were obviously improved compared with those before treatment．Adverse  reactions occurred less in the intervention group than in the control group．Conclusions  Shenshu Tuina combined with Bushen Yiqi herbal ointment can effectively improve the treatment effect of cancer-induced fatigue in patients with colorectal cancer，improve the quality of life and immune function，reduce adverse reactions．

       目的  探讨胸部肿瘤患者手术后早期排痰的效果，降低肺部并发症的发生率。方法  选择2024年6月—2025年7月在本院进行胸部肿瘤切除的60例术后患者作为研究对象。采用非同期回顾对照设计，以不同时间段病例分组，分为对照组（n＝30）和观察组（n＝30）。两组胸部手术后患者均给予常规围术期护理，观察组胸部手术后患者增加早期排痰护理。统计两组排痰效果［咳痰难度、血氧饱和度（SPO₂）］变化、疼痛评分，并统计两组肺部相关并发症及住院时间进行比较。结果  观察组患者术后的SPO₂水平高于对照组（P＜0.05），咳痰难度评分低于对照组患者（P＜0.05）。干预后第B、C时间点观察组患者的疼痛评分均低于对照组（P＜0.05）。观察组住院时间短于对照组（P＜0.05），胸部并发症总发生率低于对照组（P＜0.05），满意度高于对照组（P＜0.05）。结论  胸部肿瘤术后早期排痰有助于促进术后患者排痰，减少肺部相关发症，缩短住院时间。

       Objective  To investigate the efficacy of early expectoration management in reducing pulmonary complications for patients following thoracic tumor surgery．Methods  Sixty patients undergoing thoracic tumor  resection at our hospital between 2024 and 2025 were enrolled．A non-concurrent retrospective control design was adopted．Cases were grouped according to different time periods，divided into a control group（n=30）and an observation group（n=30）．The control group  received  standard perioperative care，while the observation group received additional early expectoration nursing interventions．Outcome measures included expectoration efficacy（assessed by cough difficulty score and oxygen saturation［SpO₂］），pain scores，incidence of pulmonary complications，and hospital stay duration．Results  Postoperative SpO₂ levels were higher in the observation group than in the control group （P＜0.05），while cough difficulty scores were significantly lower（P＜0.05）．At time points B and C after the intervention，the pain scores of patients in the observation group were lower than those in the control group（P＜0.05）．The observation group demonstrated a significantly shorter hospital stay（P＜0.05），a lower overall incidence of thoracic complications（P＜0.05），and higher patient satisfaction  than the control group（P＜0.05）．Conclusions  Implementing early expectoration protocols after thoracic tumor surgery facilitates sputum clearance can reduce pulmonary complications，and shorten hospitalization time．

       目的  探讨结肠镜下息肉切除术后复发的危险因素，并基于机器学习算法构建复发风险预警模型，为防治对策提供依据。方法  回顾性收集2018年9月—2023年9月六安市人民医院1 058例初次行无痛结肠镜下息肉切除术患者的临床资料，使用单因素和多因素Logistic回归分析筛选复发危险因素。采用7∶3随机抽样分为训练集和验证集，分别通过决策树、贝叶斯及Logistic回归算法构建预测模型，并以受试者工作特征曲线（ROC）曲线下面积（AUC）、灵敏度、特异度等指标来评估模型效能。结果  单因素分析显示，性别、吸烟、代谢综合征、息肉数量、息肉位置、山田分型、组织病理学类型、切除方式、复查时间、肠息肉直径、手术时间是复发的危险因素（P＜0.05）。多因素分析显示，性别、代谢综合征、息肉数量、息肉直径、肠息肉位置、山田分型、组织学病理类型、切除方式、手术时间均是结肠息肉内镜下切除术后复发的危险因素。模型评估显示，决策树算法、贝叶斯算法、Logistic回归算法的ROC曲线下面积（AUC）分别为0.849、0.818、0.811；灵敏度分别为85.14%、81.62%、79.43%；特异度分别为81.69%、79.45%、74.18%；约登指数分别为0.534、0.551、0.573；95%CI分别为0.810~0.876、0.794~0.860、0.782~0.850；决策树算法模型效能最佳，Logistic回归算法的性能最差。结论  性别、代谢综合征、肠息肉特征（数量、直径、位置等）是术后复发的关键危险因素。决策树模型在风险预测中表现最优，可为临床制定个体化随访策略提供参考。

       Objective  To explore the  risk factors for  recurrence after painless colonoscopic polypectomy and construct a recurrence risk warning model based on machine learning algorithms to provide evidence for prevention and treatment strategies．Methods  A retrospective analysis was conducted on clinical data from 1 058 patients who underwent their first painless colonoscopy-guided polypectomy at our hospital between September 2018 and September 2023．Univariate and multivariate Logistic  regression analyses were performed to identify recurrence risk factors．The dataset was randomly divided into training and validation sets using a 7∶3 ratio．Prediction models were constructed using decision tree，Bayesian，and Logistic regression algorithms，and their performance was evaluated using metrics such as the area under the receiver operating characteristic curve（AUC），sensitivity，specificity，and others．Results  Univariate analysis revealed that gender，smoking，metabolic syndrome，number of polyps，polyp location，Yamada classification，histopathological type，resection method，follow-up time，polyp diameter，and operation duration were risk factors for recurrence（P＜0.05）．Multivariate analysis identified gender，metabolic syndrome，number of polyps，polyp diameter，polyp location，Yamada classification，histopathological type，resection method，and operation duration as independent risk factors for recurrence after endoscopic polypectomy．Model evaluation showed AUC values of 0.849，0.818，and 0.811 for the decision tree，Bayesian，and Logistic regression algorithms，respectively．Sensitivity values were 85.14%，81.62%，and 79.43%；specificity values were 81.69%，79.45%，and 74.18%；Youden’s indices were 0.534，0.551，and 0.573；and 95% confidence intervals（CIs）were 0.810–0.876，0.794–0.860，and 0.782–0.850，respectively．The  decision tree algorithm demonstrated the best predictive performance，while the Logistic regression algorithm performed the least favorably．Conclusions  Gender，metabolic syndrome，and polyp characteristics（number，diameter，location，etc．）are key  risk factors for recurrence after polypectomy．The decision tree algorithm exhibited optimal predictive efficacy，offering valuable insights for developing individualized follow-up strategies in clinical practice．

      目的   基于决策树构建老年患者吞咽障碍预警模型。方法  采用便利取样法对宁夏银川市宁夏回族自治区人民医院老年科住院的200例老年患者进行调查。结果  200例老年患者中，吞咽障碍发生率为40.5%。依据是否发生吞咽障碍将其患者分为两组，两组患者在性别、年龄、文化程度、职业、医保类型、家庭年收入、日常生活能力、衰弱、抑郁、营养、体质指数（BMI）比较（χ ² 值分别为13.321、4.064、31.944、36.695、18.230、19.681、52.509、10.253、20.456、9.070、9.483），差异均有统计学意义（均P＜0.05）。决策树模型筛选出老年患者吞咽障碍的影响因素主要有自理能力、职业、文化程度和抑郁，决策树模型受试者工作特征曲线下面积为0.862，灵敏度为79.8%，特异度为79.0%，P＜0.001。结论  基于自理能力、职业、文化程度和抑郁构建的决策树模型，能有效预测老年患者吞咽障碍风险。

       Objective  To construct a swallowing disorder warning model for elderly patients based on decision tree．Methods  Convenience  sampling was  used to  study  200  elderly  patients  admitted to the  geriatric  department  of  a tertiary comprehensive hospital in Yinchuan，Ningxia．Results  Among 200 elderly patients，the incidence of swallowing disorders was 40.5%．The two groups of patients were compared in terms of gender，age，education level，occupation，medical insurance type，annual family income，daily living ability，frailty，depression，nutrition，and BMI（χ ²  values were 13.321，4.064，31.944，36.695，18.230，19.681，52.509，10.253，20.456，9.070，9.483，respectively），and the  differences were  statistically significant（all P＜0.05）．The decision tree model identified the main influencing factors of swallowing disorders in elderly patients as self-care ability，occupation，education level，and depression．The Receiver Operating Characteristic curve of the decision tree model had an area under the curve of 0.862，sensitivity of 79.8%，and specificity of 79.0%，P＜0.001．Conclusions  A decision tree model based on self-care ability，occupation，education level，and depression can effectively predict the  risk of swallowing disorders in elderly patients．

       目的 汇总分析肝硬化患者消化道出血风险预测模型，为今后模型的建立和优化提供参考。方法   系统检索中国知网、维普、PubMed数据库在2025年4月22日前公开发表的所有肝硬化患者消化道出血风险预测模型，按纳入标准筛选文献，对最终纳入文章分析摘录并系统汇总，包括模型特征、危险因素及模型预测评估效果等信息。结果   共检索3 603篇预测模型相关研究论文，最终纳入30篇，其中中国27篇、韩国1篇、印度1篇、埃及1篇。22项研究收集了肝硬化病因，其中病毒性肝病最多（72.94%，2 922/4 006），药物性肝病及非酒精性脂肪性肝病最少（均为0.02%，1/4 006）。在研究类型上，有28篇单中心研究，2篇为多中心研究，其中有12个模型未进行验证，只有1个模型进行了外部验证，其余模型只进行了内部验证，曲线下面积（AUC）范围0.680~0.994。根据模型纳入因素特点，分为血常规指标、凝血指标、生化指标、影像学指标、复合指标、其他指标共6种，其中纳入因素最多为影像学指标，最少为凝血指标。在纳入危险因素中，第1位为门静脉直径，第2位为血小板计数，第3位为血红蛋白水平及脾脏硬度，所有因素中与脾脏相关的指标最多。结论   肝硬化患者消化道出血风险预测模型研究质量有待提升，影像学指标应用最广，脾脏相关指标重要性突出，门静脉直径、血小板计数、血红蛋白水平及脾脏硬度为最常用的危险预测因素。

       Objective  To  summarize and analyze the  prediction models for gastrointestinal  bleeding  risk in  patients with cirrhosis，providing references for the establishment and optimization of future models．Methods  A systematic search was conducted in CNKI，VIP，and PubMed for all published prediction models for gastrointestinal bleeding risk in patients with cirrhosis before April 22，2025．Articles were screened according to the inclusion criteria，and the finally included articles were analyzed and summarized，including model characteristics，risk factors，and model prediction evaluation effects．Results  A total of 3 603 related research papers on prediction models were initially retrieved，and 30 were finally included，with 27 from China，one from South Korea，one from India，and one from Egypt．Among the 22 studies that collected the etiology of cirrhosis，viral hepatitis was the most common（72.94%，2 922/4 006），while drug-induced liver disease and non-alcoholic fatty liver disease were the least common（0.02%，1/4 006）．In terms of study type，28 were single-center studies and two were multicenter studies．Among them，12 models were not validated，only one model was externally validated，and the rest were only internally validated，with an area under the curve range of 0.680-0.994．According to the characteristics of the factors included in the models，they were divided into six types of indicators：blood routine，coagulation，biochemistry，imaging，composite，and others，among which imaging indicators were the most common and coagulation indicators were the least．In the included risk factors，the first was portal vein diameter，the second was platelets count，and the third was hemoglobin level and spleen stiffness，with the most factors related to the spleen．Conclusions  The quality of studies on prediction models for gastrointestinal bleeding risk in cirrhosis patients needs to be improved．Imaging indicators are the most widely used，and spleen-related indicators are of prominent importance，with portal vein diameter，platelets count，hemoglobin level，and spleen stiffness being the most commonly used risk prediction factors．

       1型糖尿病（T1DM）是一种免疫介导的胰岛β细胞特异性破坏的自身免疫性疾病，全球发病率逐年上升。胰岛自身抗体（IAbs）是T1DM最可靠的生物标志物，用于早期预测和诊断。然而，传统的放射配体法（RBA）虽然具有高实验特异度，但在疾病特异度方面存在局限性，尤其是单抗体阳性的预测价值较低。近年来，电化学发光法（ECL）作为一种无放射性污染的新方法，能够区分高亲和力和低亲和力的IAbs，显著提高了疾病特异度。多项研究表明，ECL法在预测T1DM风险方面优于RBA法，特别是在单抗体阳性的情况下。本文综述了IAbs检测方法的进展及其在T1DM预测和诊断中的应用，强调了ECL法在提高疾病特异度方面的优势。

       Type 1 diabetes mellitus（T1DM）is  an  autoimmune  disease  characterized  by the immune-mediated destruction of pancreatic β-cells，with a rising global incidence．Islet autoantibodies（IAbs）are the most  reliable biomarkers for early prediction and diagnosis of T1DM．However，the traditional radio-binding assay（RBA），despite its high experimental specificity，has limitations in disease specificity，particularly in the predictive value of single autoantibody positivity．Recently，the electrochemiluminescence（ECL）method，a non-radioactive approach，has been developed to distinguish high-affinity from low-affinity IAbs，significantly improving disease specificity．Multiple studies have shown that the ECL method outperforms RBA in predicting T1DM risk，especially in cases of single autoantibody positivity．This review discusses the advancements in IAbs detection methods and their applications in T1DM prediction and diagnosis，highlighting the advantages of the ECL method in enhancing disease specificity．

      目的 探讨重性抑郁障碍（MDD）患者肠道菌群特征与选择性5-羟色胺再摄取抑制剂（SSRIs）疗效的关联性, 筛选可预测SSRIs疗效的肠道菌群生物标志物。方法 选取2024年5月—2025年5月宁夏回族自治区人民医院收治的90例MDD患者, 根据SSRIs治疗8周后疗效分为应答组56例和无应答组34例, 并选择30例健康对照, 采集基线粪便样本进行16S rRNA基因测序, 分析肠道菌群α多样性、菌属相对丰度差异,并通过相关性分析、多因素Logistic回归及ROC曲线评估菌群标志物对SSRIs疗效的预测价值。结果 MDD患者肠道菌群Chao1指数、Shannon指数低于健康对照（P<0.05）, 应答组与无应答组α多样性无差异（P>0.05）。应答组基线Blautia、双歧杆菌属、粪球菌属丰度高于无应答组（P<0.05）, 大肠杆菌-志贺菌属丰度低于无应答组（P<0.05）。基线Blautia、双歧杆菌属、粪球菌属丰度与SSRIs治疗8周HAMD-17减分率呈正相关（r分别为0.390、0.420、0.350,均P<0.05）, 三者联合预测SSRIs疗效的ROC曲线下面积（AUC）为0.910（灵敏度83.9%,特异度85.3%）。结论 MDD患者存在肠道菌群结构异常, 基线Blautia、双歧杆菌属、粪球菌属丰度可作为SSRIs疗效的潜在预测标志物,为MDD个体化治疗提供实验依据。

       Objective To explore the association between gut microbiota characteristics and the efficacy of selective serotonin reuptake inhibitors（SSRIs）in patients with major depressive disorder（MDD）, and to screen gut microbiota biomarkers for predicting SSRIs efficacy．Methods A total of 90 MDD patients（divided into responders[n=56] and non-responders[n=34] based on 8-week SSRIs efficacy）and 30 healthy controls were enrolled from May 2024 to May 2025．Fecal samples were collected for 16S rRNA gene sequencing to analyze gut microbiota α diversity and genus-level relative abundance．Correlation analysis, multivariate logistic regression, and receiver operating characteristic curve were used to evaluate the predictive value of microbiota markers for SSRIs efficacy．Results The Chao1 and Shannon indices of gut microbiota in MDD patients were significantly lower than those in healthy controls（P<0.05）, with no difference between responders and non-responders（P>0.05）．Responders had higher baseline abundances of Blautia,Bifidobacterium, and Coprococcus（P<0.05）, and lower abundance of Escherichia-Shigella compared to non-responders．Baseline abundances of Blautia,Bifidobacterium（P<0.05）, and Coprococcus were positively correlated with 8-week HAMD-17 reduction rate（r=0.390, 0.420, 0.350; all P<0.05）．The combined prediction of these three genera for SSRIs efficacy showed an area under the curve of 0.910（sensitivity 83.9%, specificity 85.3%）．Conclusions MDD patients exhibit abnormal gut microbiota structure．Baseline abundances of Blautia,Bifidobacterium, and Coprococcus may serve as potential predictive biomarkers for SSRIs efficacy, providing experimental basis for personalized treatment of MDD．

        目的 探究四子散中药封包药熨在股骨骨折术后疼痛及肿胀中的临床疗效及安全性。方法 选取2024年6月—2025年5月婺源县人民医院骨科收治的60例股骨骨折术后患者, 随机分为观察组（30例,常规治疗+四子散中药封包药熨）与对照组（30例,常规治疗）。比较两组治疗前后疼痛评分（NRS-11）、肿胀程度评分、C反应蛋白（CRP）、白细胞介素-6（IL-6）水平及不良事件发生率。结果 治疗前两组患者疼痛、肿胀评分、CRP、IL-6水平比较差异无统计学意义（P>0.05）; 治疗1周后,观察组疼痛评分为（2.11±0.48）分、肿胀程度为（0.35±0.43）度、CRP为（12.23±3.12）mg/L、IL-6为（16.03±4.01）ng/L,均低于对照组的（3.54±0.56）分、（1.04±0.58）度、（24.31±4.51）mg/L、（23.19±6.75）ng/L,差异有统计学意义（P<0.001）。观察组与对照组均无发生不良事件。结论 四子散中药封包药熨可缓解股骨骨折术后疼痛及肿胀,安全性良好。

       Objective To explore the clinical efficacy and safety of Sizi powder pack hot compress in the treatment of pain and swelling after femoral fracture surgery．Methods From June 2024 to May 2025, 60 patients after femoral fracture surgery were admitted to the Orthopedics Department of Wuyuan County People's Hospital and randomly divided into observation group（30 cases, conventional treatment+Sizi power pack hot compress）and control group（30 cases, conventional treatment）． The pain score（NRS-11）, swelling score, CRP,IL-6 levels and incidence of adverse events before and after treatment were compared between the two groups．Results There was no significant difference in pain and swelling scores between the two groups before treatment（P>0.05）．After 1 week of treatment, the pain score（2.11±0.48）, swelling score（0.35±0.43）, CRP（12.23±3.12 mg/L）, IL-6（16.03±4.01 ng/L）levels in the observation group were significantly lower than those in the control group（3.54±0.56, 1.04±0.58, 24.31±4.51 mg/L, 16.03+4.01 ng/L）, and the difference was statistically significant（P<0.001）．There were no adverse events in the observation group or the control group．Conclusions Sizi power pack hot compress can significantly alleviate the pain and swelling after femoral fracture surgery,and with good safety．

       目的 探讨自发性脑出血（SICH）患者静脉血栓栓塞症（VTE）的独立危险因素,并评估针对性分层预防措施的有效性及安全性, 为临床优化防治策略提供依据。方法 回顾性纳入2022年1月—2025年1月收治的86例SICH患者, 根据下肢深静脉超声结果分为深静脉血栓（DVT）组（n=16）与非DVT组（n=70）。采集患者基线资料、临床特征及实验室指标, 采用单因素及多因素Logistic回归分析VTE危险因素, 并基于独立危险因素制定分层预防方案。结果 多因素分析显示, 体质指数（BMI）升高（OR=1.22, 95%CI：1.06~1.41）、中心静脉置管（OR=5.23, 95%CI：1.37~19.95）、止血药物使用（OR=4.80, 95%CI：1.21~19.01）及NIHSS评分升高（OR=1.20, 95%CI：1.02~1.42）是VTE的独立危险因素（均P<0.05）。因此需针对SICH患者进行针对性干预, 包括基于BMI的个体化干预、中心静脉置管的精细化管控、止血药物的动态调控及神经功能保护与早期康复。结论 SICH患者VTE发生与代谢、医源性及神经功能损伤多因素交互作用密切相关, 应针对患者构建基于BMI、中心静脉管理及凝血监测的分层预防策略。

       Objective To explore the independent risk factors for venous thromboembolism（VTE）in patients with spontaneous intracerebral hemorrhage（SICH）and to assess the effectiveness and safety of targeted stratified prophylaxis to provide a basis for optimizing prevention and treatment strategies in the clinic．Methods A retrospective analysis was conducted on 86 SICH patients admitted between January 2022 and January 2025．Based on lower-extremity venous ultrasound findings, patients were divided into a deep venous thrombosis（DVT）group（n=16）and a non-DVT group（n=70）．Baseline characteristics, clinical features, and laboratory indicators were collected．Univariate and multivariate Logistic regression analyses were performed to identify VTE risk factors, and a stratified prevention protocol was developed based on independent risk factors．Results Multivariate analysis revealed that elevated body mass index（BMI）（OR=1.22, 95%CI：1.06-1.41）, central venous catheterization（OR=5.23, 95%CI：1.37-19.95）, hemostatic drug use（OR=4.80, 95%CI：1.21-19.01）, and higher NIHSS scores（OR=1.20, 95%CI：1.02-1.42）were independent risk factors for VTE（all P<0.05）．Consequently, targeted nursing interventions should be implemented for SICH patients, including BMI-based personalized care, refined management of central venous catheters, dynamic regulation of hemostatic drugs, and neuroprotective early rehabilitation．Conclusions VTE in SICH patients is closely associated with the interplay of metabolic, iatrogenic,and neurological injury factors．A stratified prevention strategy incorporating BMI monitoring, central venous catheter management, and coagulation surveillance is critical for reducing thrombotic risk while ensuring safety．

       目的 通过戴明循环管理法的品管圈（QCC）活动, 提升内镜中心病理标本标识的正确率与病理标本管理安全性。方法 采用基于戴明循环管理法的QCC活动, 对内镜中心病理标本标识质量进行现状把握、原因分析并制定对策, 比较QCC活动开展前后内镜病理标本标识的正确率。结果 QCC活动后, 内镜中心病理标本标识的正确率从99.8%提高至100%（P<0.05）。结论 内镜中心通过开展基于戴明循环管理法的QCC活动, 显著提升了内镜病理标本管理安全性与工作效率。

       Objective To improve the accuracy of pathological specimen identification and the safety of pathological specimen management in endoscopy center through quality control circle（QCC）activity based on Deming cycle management．Methods QCC activity based on Deming cycle management was used to summarize the status quo,analyze the causes and formulate countermeasures for the quality control of pathological specimen identification in endoscopy center．The accuracy rate of endoscopic pathological specimen identification before and after QCC activity was compared．Results After QCC activity, the accuracy of pathological specimen identification in endoscope center increased from 99.8% to 100%．Conclusions QCC activities based on Deming cycle management can greatly improve the safety and efficiency of endoscopic pathological specimen management．