Objective Jejunal interposition is an important option for restoring gastrointestinal continuity in patients with complex esophageal cancer in whom the stomach is unavailable for reconstruction due to previous gastrectomy, tumor involvement, failed gastric conduit, or other constraints. Although the jejunum offers a caliber similar to the esophagus, a rich blood supply, and preserved peristaltic function, anatomical variations in mesenteric length and vascular arcades render long-segment and high-level reconstruction susceptible to excessive tension, mesenteric torsion, venous congestion, and inadequate distal perfusion. This consensus aims to provide standardized recommendations for the application of jejunal interposition in this specific patient population. Methods This consensus was developed in accordance with the WHO Handbook for Guideline Development and Chinese national guideline development standards, with reference to the Appraisal of Guidelines for Research & Evaluation Ⅱ(AGREE Ⅱ), Reporting Items for Practice Guidelines in Healthcare (RIGHT), and Scientific, Transparent and Applicable Rankings (STAR) checklists. The project was registered on the international practice guidelines registry platform (PREPARE-2026CN1384). The working group systematically searched Chinese and English evidence addressing 12 clinical questions. Evidence was graded using the Oxford Centre for Evidence-Based Medicine (OCEBM) 2009 system, with structured appraisal of risk of bias, inconsistency, indirectness, and imprecision. Recommendations were formulated through two rounds of Delphi surveys and a face-to-face consensus meeting, with an agreement threshold of ≥75%. Results The consensus generated 12 recommendations covering indications, selection between jejunum and colon, preoperative assessment, surgical approach and reconstruction route, pedicled jejunal interposition (PJI), supercharged pedicled jejunal interposition (SPJ), indocyanine green (ICG) perfusion assessment, perioperative nutrition, management of anastomotic leakage, long-term follow-up, and special treatment scenarios. Given that the available direct evidence is predominantly derived from single-center retrospective cohorts and case series, recommendations extrapolated from general esophagectomy or other gastrointestinal surgical evidence are deliberately phrased with caution. Conclusion Jejunal interposition is a safe and effective approach for digestive tract reconstruction in patients with complex esophageal cancer in whom the stomach is unavailable. This consensus emphasizes that clinical decision-making should be individualized based on the patient's prior treatment history, reconstruction height, vascular anatomy, technical availability, and institutional experience in the Chinese context.

Objective:The association between air pollutants and the risk of sudden cardiac death (SCD) remains controversial. This study aimed to investigate the relationship between five air pollutants—PM 2.5, PM 2.5–10, PM 10, NO 2, and NO?—and the risk of SCD. Methods:We analyzed data from 460 862 participants in the UK Biobank cohort, all enrolled between 2006 and 2010, with no baseline SCD. Follow-up continued until the study endpoint. Annual average concentrations of the five pollutants were assessed. Associations between pollutants and SCD were evaluated using Cox proportional hazards models, followed by Mendelian randomization (MR) to assess causality.Results:Over a mean follow-up of 12.4 years, 2 662 SCD cases were recorded. After adjusting for confounders, no significant associations were found between air pollutants and SCD risk: PM 2.5 ( HR 1.03, 95% CI 0.99–1.07, P = 0.14), PM 2.5–10 ( HR 1.04, 95% CI 1.00–1.08, P = 0.08), PM 10 ( HR 1.01, 95% CI 0.99–1.03, P = 0.26), NO? ( HR 1.00, 95% CI 0.99–1.00, P = 0.26), and NO x ( HR 1.00, 95% CI 1.00–1.01, P = 0.19). MR analysis further supported the absence of causal relationships: PM 2.5 ( β = -0.149, P = 0.90), PM 2.5–10 ( β = 0.387, P = 0.62), PM 10 ( β = -0.994, P = 0.62), NO? ( β = –0.005, P = 0.99), and NO 2 ( β = –0.827, P = 0.25). Conclusions:This study found no evidence linking PM 2.5, PM 2.5–10, PM 10, NO?, or NO 2 to an increased risk of SCD. Mendelian randomization confirmed the lack of causal associations between these pollutants and SCD.

Objective:To summarize the experience and effect of extracorporeal cardiopulmonary resuscitation (ECPR) in acute myocardial infarction (AMI) with in-hospital cardiac arrest (IHCA).Methods:The data of 70 patients with AMI-IHCA-ECPR in extracorporeal life support center of the first affiliated hospital of Nanjing medical university from January 2017 to December 2024 were retrospectively analyzed. The patients were grouped by Survival/death at 90 days, with/without combined intra-aortic balloon pump (IABP). Age, sex, Charlson comorbidity index, initial rhythm, Gensini score, ECPR initial blood gas pH and lactate value, no-flow time, time from cardiac arrest to extracorporeal membrane oxygenation (ECMO) initiation (CA-Pump On time), ECMO treatment time, 90-day survival rate were analyzed.Results:Among the 70 patients with AMI-IHCA-ECPR, 22 (31.4%) patients survived at 90 days, of whom 19 (86.4%) patients had good neurological outcomes. About 50% of AMI-IHCA-ECPR patients had severe multi-vessel coronary artery lesions, and there was no significant difference in survival outcomes among different vascular lesions. In the IABP group, the success rate of ECMO withdrawal was low, the duration of ECMO treatment was long, and the combination of IABP did not reduce the mortality. Compared with the death group, the 90-day survival group had a lower Gensini score, a higher ECPR initial blood gas pH and a lower lactic acid value.Conclusions:AMI-IHCA-ECPR combined with IABP did not show significant survival benefits, and about 50% of patients had severe lesions of multiple coronary arteries. It is difficult to evaluate the prognosis based on a single offender vessel. It is recommended to evaluate the outcome of patients by quantification of the severity of coronary artery lesions by Gensini score.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Erosive pustular dermatosis of the scalp (EPDS) is a rare superficial skin inflammatory disease that occurs on the scalp, and its pathogenesis is still unclear. Its clinical manifestations are similar to those of infective inflammation and malignant tumors, and its diagnosis is highly dependent on non-specific pathological changes, so the diagnosis is relatively difficult. Clinically, topical glucocorticoids are the main treatment method, but treatment outcomes vary greatly among individuals, and patients with refractory EPDS need other treatment methods. EPDS generally requires long-term topical glucocorticoid therapy, and adverse drug reactions are common. This review summarizes research progress in EPDS in recent years, in order to improve clinicians' understanding of this disease.

Congenital triangular alopecia is a kind of non-inflammatory and non-cicatricial alopecia, and most cases develop this disease at the ages of 2 - 9 years. The pathogenesis of congenital triangular alopecia is still unclear, and there is a lack of effective treatments. Congenital triangular alopecia is rather liable to be misdiagnosed and erroneously treated, and dermoscopy helps confirm the diagnosis. This review summarizes the progress in the epidemiology, pathogenesis, clinical diagnosis, and treatment of congenital triangular alopecia.

Morphea alopecia is a rare secondary cicatricial alopecia, often caused by linear scleroderma of the scalp. When hair loss appears as the only symptom of morphea, it is easily confused with other localized alopecia. The diagnosis of morphea alopecia depends on histopathologic and dermoscopic examinations. In order to improve the understanding of morphea alopecia among clinicians, this review summarizes research progress in its pathogenesis, clinical and pathological characteristics, diagnosis and treatment.

Objective:To analyze the epidemiological features of pediatric sepsis in the Kashgar region and investigate factors associated with its prognosis, thereby providing evidence for implementing regional public health prevention and control policies.Methods:A single-center, retrospective observational study was conducted on the clinical data of pediatric sepsis patients admitted to the pediatric intensive care unit (PICU) of The First People′s Hospital of Kashgar between January 2022 and December 2023. For the assessment of clinical outcomes, this study utilized a composite endpoint comprising "length of hospital stay and survival status", classifying patients into two groups: Group A (survived with hospital stay <28 days) and Group B (hospital stay ≥28 days or in-hospital mortality). Univariate and binary logistic regression analyses were performed to identify independent risk factors associated with prognosis.Results:This study included a total of 79 pediatric patients with sepsis, with an age range of 1 month to 14 years and a median age of 8 months. Males accounted for 62.0% (49 males, 30 females). The rates of comorbid septic shock, sepsis-associated encephalopathy, and acute kidney injury were 73.4% (58/79), 24.1% (19/79), and 16.5% (13/79), respectively. The primary site of infection was the gastrointestinal tract, accounting for 34.2% (27/79), followed by the respiratory tract at 30.4% (24/79). Pathogens were detected in 59.5% (47/79) of the patients, with Staphylococcus aureus identified in 11 cases, Acinetobacter baumannii and Escherichia coli in 6 cases each, Klebsiella pneumoniae in 5 cases, and Candida albicans in 3 cases. The mechanical ventilation rate was 59.5% (47/79). The total hospital length of stay ranged from 1 to 55 days, with a median of 14 days, while the ICU length of stay ranged from 1 to 29 days, with a median of 6 days. In-hospital mortality occurred in 15 cases (19.0%). Group A comprised 56 patients (70.9%), and Group B comprised 23 patients (29.1%). Univariate analysis revealed that Group A had significantly higher mean arterial pressure (MAP), pediatric critical illness score (PCIS), and Glasgow coma scale (GCS) (all P<0.05), and significantly lower pediatric risk of mortality Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 (PELOD-2), lactate levels, pediatric multiple organ dysfunction score (P-MODS), pediatric sequential organ failure assessment (pSOFA), septic shock rate, and mechanical ventilation rate compared to Group B (all P<0.05). Binary logistic regression analysis identified a high PELOD-2 score ( OR: 1.38, 95% CI: 1.16-1.64, P<0.001) as an independent risk factor for poor prognosis, while a high GCS ( OR: 0.81, 95% CI: 0.74-0.88, P<0.001) served as a protective factor against poor prognosis. The combination of PELOD2 and GCS demonstrated good predictive ability for in-hospital outcomes in pediatric sepsis patients, with an area under the ROC curve of 0.82 (95% CI: 0.72-0.92). Conclusion:In children with sepsis in the Kashgar region, gastrointestinal tract infection represents the most common source of infection. Elevated PELOD-2 scores and reduced GCS are both indicative of a poorer prognosis, and a combined model integrating these two scoring systems may serve as a valuable tool for prognostic assessment.

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.