1.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.
2.Altered Lymphocyte Subsets in Perioperative Cancer Patients Before and After Septic Shock: Characteristics and Prognostic Implications
Miao WEI ; Lili YANG ; Xiaoyan LI ; Huifang LYU ; Yan DUAN
Medical Journal of Peking Union Medical College Hospital 2026;17(1):86-97
To investigate the changes in peripheral blood immune cells before and after the onset of septic shock in patients with malignant tumors, and to analyze the relationship between these immune cells and patient prognosis. A retrospective study was conducted, enrolling perioperative tumor patients who were transferred to the intensive care unit (ICU) due to septic shock at Shanxi Provincial Cancer Hospital between October 2018 and December 2019.Changes in lymphocyte counts and subsets were compared before and after septic shock (measured prior to septic shock onset and within 72 hours after onset).A multivariate Logistic regression model was used to analyze the relationship between these immune indicators and the 28-day mortality risk in tumor patients following septic shock. A total of 47 tumor patients transferred to the ICU due to septic shock were included.There were 32 males and 15 females, with a mean age of (63.9±11.2) years.Gastrointestinal tumors were the most common tumor type (76.60%, 36/47), and abdominal/pelvic infection (65.96%, 31/47) was the primary source of infection.Within 28 days after ICU transfer, 12 patients died and 35 survived. Compared to pre-septic shock levels, lymphocyte counts significantly decreased after septic shock[530(300, 830) cells/μL Perioperative tumor patients experience acute depletion of peripheral blood lymphocyte subsets following septic shock.Among various immune indicators, regulatory T cell count serves as an independent predictor of short-term mortality risk.Evaluating baseline immune function in such patients may help optimize treatment strategies and improve overall prognosis.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Preliminary study on an improved method for constructing internal quality control framework of ELISA
Youbin DUAN ; Rui WANG ; Le CHANG ; Changwen QIU ; Zhiqiang LI ; Gengrui CHEN ; Jingjuan YANG ; Qing HE ; Lunan WANG
Chinese Journal of Blood Transfusion 2026;39(1):103-108
Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.
5.Construction of Laboratory Animal Science and Technology Ethics Governance System in China and Its Preliminary Practice in Guangdong Province
Xiaoqin LI ; Wenlan YU ; Yizhu DUAN ; Zhonghua LIU ; Guodong WU ; Wenqi SHI ; Hongkun FU
Laboratory Animal and Comparative Medicine 2026;46(1):127-137
The welfare and ethics of laboratory animals are the ethical principles and behavioral norms that need to be followed in conducting animal-based scientific research, breeding and managing laboratory animals, and supervising and regulating such activities. The level of protection of laboratory animal welfare and ethics is closely related to the development of science and technology, which has become a widely recognized international consensus. At present, Guangdong Province is accelerating the construction of a high-level science and technology innovation province and the Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Center. Guangdong Province should rely on its advanced governance capacity in the field of laboratory animal science and technology ethics to promote the high-quality development of its laboratory animal science and technology sector. Based on the management laws, regulations, and institutional mechanisms of laboratory animals in China, this paper explores the optimization of the laboratory animal science and technology ethics governance system, which includes the institutional guarantees, responsibility systems, ethical review and supervision mechanisms, and education and outreach. Through methods such as literature research, questionnaire surveys, and interview investigations, an empirical study of the laboratory animal science and technology ethics governance system in Guangdong Province has been conducted. Analysis of literature and research results shows that Guangdong Province has basically established a laboratory animal management system, collaboration mechanism, supervision mechanism, and education and training system that meet the current requirements of the laboratory animal science and technology ethics governance system in China. However, there are still problems such as an incomplete laboratory animal science and technology ethics supervision mechanism, an underdeveloped operation mechanism of review institutions, insufficient attention paid by laboratory animal units to the ethical review of animal experiments, inconsistent ethical review standards, and a lack of professional ethical education and training for ethics review personnel. Therefore, optimization measures such as improving the laboratory animal science and technology ethics review system, strengthening supervision and inspection, further strengthening the accountability of responsible entities, formulating review norms, and enhancing hierarchical and classified education and training are proposed, to provide a theoretical basis for promoting the normalized and long-term governance of laboratory animal science and technology ethics in Guangdong Province.
6.The Potential and Challenges of Temporal Interference Stimulation in Chronic Pain Management
Hao-Qing DUAN ; Yu-Qi GOU ; Ya-Wen LI ; Li HU ; Xue-Jing LÜ
Progress in Biochemistry and Biophysics 2026;53(2):369-387
Chronic pain is a complex condition shaped by long-standing alterations in both physiological and psychological processes. Rather than representing a simple continuation of acute nociceptive signaling, chronic pain is increasingly understood as the outcome of progressive dysregulation within distributed neural systems that govern sensation, affect, motivation, and cognitive control. Neuroimaging and electrophysiological studies indicate that this state is accompanied by extensive plastic changes in deep brain structures and large-scale networks. Beyond well-described central sensitization processes, chronic pain is characterized by disrupted oscillatory rhythms and altered connectivity within large-scale brain networks, including thalamo-cortical circuits and prefrontal-limbic-reward networks. These findings support a conceptual shift from viewing chronic pain as a focal, lesion-driven phenomenon toward recognizing it as a disorder of distributed network pathology. Pharmacological treatments remain central to clinical practice, yet their long-term efficacy is often limited and frequently accompanied by substantial side effects. The ongoing concerns about opioid-related risks and the inadequate therapeutic response in a subset of patients highlight the need for safe, non-pharmacological approaches that can address not only pain but also comorbid disturbances in mood, sleep, and social functioning. Neuromodulation provides a promising path toward mechanism-based and non-pharmacological management of chronic pain by employing physical or chemical stimulation to alter the excitability and synchrony of specific neural populations within central, peripheral, and autonomic systems. While invasive deep brain stimulation demonstrates that targeting deep brain structures can be effective, its clinical application is restricted by surgical risks and cost, highlighting the importance of non-invasive techniques capable of reaching deep targets. Current non-invasive approaches, such as transcranial electric stimulation, are constrained by limited penetration depth and insufficient spatial precision. These limitations hinder reliable engagement of deep regions implicated in pain, including the thalamus and nucleus accumbens, and tend to produce broad, non-specific modulation of cross-network oscillatory activity. Temporal interference (TI) stimulation has emerged as a means of overcoming these obstacles. By delivering interacting high-frequency currents that generate a low-frequency envelope within the head, TI enables focal stimulation of deep targets while minimizing superficial current delivery. Recent multiscale modeling and animal studies indicate that TI exploits the nonlinear rectification properties of neuronal membranes in response to high-frequency carriers, as well as their phase-locked responses to low-frequency envelopes, to generate “peak-focused” electric fields in deep regions under relatively low superficial current loads. Moreover, TI appears to exhibit potential advantages in terms of cell-type selectivity and rhythm-specific engagement, including differential responses across neuronal subtypes and distinct coupling to θ-, β-, and γ-band oscillations. These features suggest a promising avenue for correcting abnormal rhythms and network dynamics that contribute to chronic pain. This review summarizes current knowledge of the neural mechanisms underlying chronic pain and recent advances in TI research. It examines functional disturbances across key pain-related regions and networks, outlines the principles and technical characteristics of TI, and discusses potential deep-brain targets and stimulation strategies relevant to chronic pain. Evidence to date indicates that TI, with its non-invasiveness, tolerability, and capacity for precise deep brain modulation, holds great promise for the management of treatment-resistant chronic pain and may evolve into a new generation of precise and efficient non-pharmacological analgesic strategies.
7.The Potential and Challenges of Temporal Interference Stimulation in Chronic Pain Management
Hao-Qing DUAN ; Yu-Qi GOU ; Ya-Wen LI ; Li HU ; Xue-Jing LÜ
Progress in Biochemistry and Biophysics 2026;53(2):369-387
Chronic pain is a complex condition shaped by long-standing alterations in both physiological and psychological processes. Rather than representing a simple continuation of acute nociceptive signaling, chronic pain is increasingly understood as the outcome of progressive dysregulation within distributed neural systems that govern sensation, affect, motivation, and cognitive control. Neuroimaging and electrophysiological studies indicate that this state is accompanied by extensive plastic changes in deep brain structures and large-scale networks. Beyond well-described central sensitization processes, chronic pain is characterized by disrupted oscillatory rhythms and altered connectivity within large-scale brain networks, including thalamo-cortical circuits and prefrontal-limbic-reward networks. These findings support a conceptual shift from viewing chronic pain as a focal, lesion-driven phenomenon toward recognizing it as a disorder of distributed network pathology. Pharmacological treatments remain central to clinical practice, yet their long-term efficacy is often limited and frequently accompanied by substantial side effects. The ongoing concerns about opioid-related risks and the inadequate therapeutic response in a subset of patients highlight the need for safe, non-pharmacological approaches that can address not only pain but also comorbid disturbances in mood, sleep, and social functioning. Neuromodulation provides a promising path toward mechanism-based and non-pharmacological management of chronic pain by employing physical or chemical stimulation to alter the excitability and synchrony of specific neural populations within central, peripheral, and autonomic systems. While invasive deep brain stimulation demonstrates that targeting deep brain structures can be effective, its clinical application is restricted by surgical risks and cost, highlighting the importance of non-invasive techniques capable of reaching deep targets. Current non-invasive approaches, such as transcranial electric stimulation, are constrained by limited penetration depth and insufficient spatial precision. These limitations hinder reliable engagement of deep regions implicated in pain, including the thalamus and nucleus accumbens, and tend to produce broad, non-specific modulation of cross-network oscillatory activity. Temporal interference (TI) stimulation has emerged as a means of overcoming these obstacles. By delivering interacting high-frequency currents that generate a low-frequency envelope within the head, TI enables focal stimulation of deep targets while minimizing superficial current delivery. Recent multiscale modeling and animal studies indicate that TI exploits the nonlinear rectification properties of neuronal membranes in response to high-frequency carriers, as well as their phase-locked responses to low-frequency envelopes, to generate “peak-focused” electric fields in deep regions under relatively low superficial current loads. Moreover, TI appears to exhibit potential advantages in terms of cell-type selectivity and rhythm-specific engagement, including differential responses across neuronal subtypes and distinct coupling to θ-, β-, and γ-band oscillations. These features suggest a promising avenue for correcting abnormal rhythms and network dynamics that contribute to chronic pain. This review summarizes current knowledge of the neural mechanisms underlying chronic pain and recent advances in TI research. It examines functional disturbances across key pain-related regions and networks, outlines the principles and technical characteristics of TI, and discusses potential deep-brain targets and stimulation strategies relevant to chronic pain. Evidence to date indicates that TI, with its non-invasiveness, tolerability, and capacity for precise deep brain modulation, holds great promise for the management of treatment-resistant chronic pain and may evolve into a new generation of precise and efficient non-pharmacological analgesic strategies.
8.Guidelines for standardized implementation of pharmacist-managed clinics (2026 edition)
Pengxiang ZHOU ; Maobai LIU ; Xiaoli DU ; Xiaoyang LU ; Mei DONG ; Rong DUAN ; Ruigang HOU ; Xiaoyu LI ; Qi CHEN ; Yanxiao XIANG ; Weiyi FENG ; Rong CHEN ; Deshi DONG ; Yong YANG ; Li LI ; Xiaocong ZUO ; Jinfang HU ; Hongliang ZHANG ; Qingchun ZHAO ; Qi LIN ; Yang HU ; Jiaying WU ; Rongsheng ZHAO
China Pharmacy 2026;37(9):1105-1112
OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics ( 2026 edition ) in response to the challenges faced by such clinics in China, including uneven development, large discrepancies in service specifications, insufficient patient awareness, and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association, the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association, and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association, a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research, current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections: definition and connotation of pharmacist-managed clinics, establishment requirements, implementation and management, post competency, and practical research. Firstly, the definition and connotation included three operational forms of pharmacist-managed clinics (independent mode, physician-pharmacist joint mode, and online pharmacist-managed clinic mode) and classified service modes (specialty-specific, drug-specific, and disease-specific pharmacist-managed clinics). The establishment requirements were further refined, covering system construction (pharmaceutical service management system, quality control and assessment mechanism), personnel qualifications (professional credentials, continuing education and professional training, etc), service recipients, as well as service venues and facilities. Subsequently, the implementation and management of pharmacist-managed clinics were proposed, involving service procedures, intervention measures, documentation and records, patient education and follow-up, humanistic care, as well as risk management and quality control. Finally, post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics, as well as the suggestions on teaching methods; practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment, management, teaching, and research, fill the guideline gap in this field, and can promote the high-quality development of pharmacist-managed clinics.
9.Evidence-based expert consensus on the clinical application and pharmaceutical management of antibody-based drugs for the treatment of myasthenia gravis
Rong DUAN ; Zhengxiang LI ; Xiaocong ZUO ; Rongsheng ZHAO ; Ruigang HOU ; Chunsheng YANG ; Guoyan QI
China Pharmacy 2026;37(9):1113-1121
OBJECTIVE To provide standardized guidance for the rational clinical use of antibody-based drugs for the treatment of myasthenia gravis, and to enhance the evidence-based system of guidelines and consensus in this field. METHODS The consensus expert team consisted of 71 multidisciplinary experts from 28 provinces/autonomous regions/municipalities directly under the Central Government. Evidence was systematically retrieved through multiple databases, drug package inserts, and official websites of international and national health administrative authorities, drug regulatory agencies, healthcare security departments, and related industry associations, up to April 30, 2025. Evidence was graded according to the 2014 version of JBI pre-grading system for evidence from intervention studies. Based on full consideration of the current best evidence and multidisciplinary expert experience, the expert consensus recommendations were formulated using a modified Delphi method. RESULTS The Evidence-based expert consensus on the clinical application and pharmaceutical management of antibody-based drugs for the treatment of myasthenia gravis standardized the key points of whole-process pharmaceutical management for four antibody-based drugs approved for marketing in the mainland of China for the treatment of myasthenia gravis (efgartigimod alfa, efgartigimod alfa/hyaluronidase, eculizumab, and rozanolixizumab). It formulated 37 expert consensus recommendations covering nine pharmaceutical management aspects: drug suitability selection, medication in special populations, administration methods, drug storage, therapeutic drug monitoring and pharmacogenetic testing, immunization management, drug interactions, pharmaceutical care, and off-label drug use. CONCLUSIONS Based on the current best evidence and multidisciplinary expert experience, this consensus establishes a whole-process management framework for antibody-based drugs for the treatment of myasthenia gravis, from clinical application to pharmaceutical management. It provides a scientific basis for the rational and precise use of these drugs in clinical practice, effectively promotes the enhancement of pharmaceutical management efficiency, and helps improve the overall therapeutic benefits for patients.
10.Genetic disease diagnosis and treatment in Shanghai: Survey and countermeasures for clinical genetics specialist training.
Xiaoju HUANG ; Lin HAN ; Li CAO ; Taosheng HUANG ; Duan MA ; Jian WANG ; Wenjuan QIU ; Fanyi ZENG ; Luming SUN ; Chenming XU ; Songchang CHEN ; Xinyu KUANG ; Hong TIAN
Chinese Journal of Medical Genetics 2026;43(4):241-247
OBJECTIVE:
To investigate the current status of clinical genetics specialization development and the diagnostic and therapeutic capabilities for hereditary diseases across medical institutions in Shanghai, and to assess the necessity and feasibility of establishing training bases for clinical genetics specialists.
METHODS:
By employing a cross-sectional survey design, the Clinical Genetics Committee of Shanghai Medical Association has conducted questionnaire surveys from March to April 2025 across 54 healthcare institutions in Shanghai (including 33 tertiary hospitals and 21 secondary hospitals). The survey involved administrative departments and medical personnel from 15 clinical specialties. The survey has covered current genetic disease diagnosis and treatment practices, relevant and specialised disease types, genetic department establishment, testing capabilities, personnel teams, and training requirements.
RESULTS:
The results revealed that 78.0% of clinical departments surveyed had treated patients with hereditary disorders. Shanghai possesses diagnostic and therapeutic expertise for over 95% of hereditary diseases listed in its rare disease catalogue, reflecting both the practical clinical demand for such conditions and the city's overall diagnostic and therapeutic strengths in this field. Nevertheless, significant disparities exist in the development of genetics departments across different tiers of healthcare institutions. Resources for genetic testing capabilities (including molecular, cellular, and biochemical testing) are also unevenly distributed across different tiers of hospitals. The survey further revealed that only 26.0% of departments believe that their current physician structure fully meets the diagnostic and treatment demands. Over 90% of departments consider standard training for clinical genetic specialists necessary, with 74.0% expressing willingness to participate in establishing training bases. Based on above findings and thorough deliberation, the Clinical Genetics Committee of the Shanghai Medical Association proposes advancing specialist training and discipline development through establishing a standard training system. The committee has drafted a three-year training protocol featuring a "joint training"-centered model, recommending a pilot-first, dynamically optimized strategy for steadily advancing training base development.
CONCLUSION
Shanghai faces substantial demand for genetic disease diagnosis and treatment, yet exhibits shortcomings in clinical genetics specialization development, resource allocation, and talent pipeline cultivation. To establish a standard training system holds significant practical importance and is underpinned by a broad demand.
Humans
;
China
;
Surveys and Questionnaires
;
Genetic Diseases, Inborn/genetics*
;
Cross-Sectional Studies
;
Genetics, Medical/education*
;
Genetic Testing

Result Analysis
Print
Save
E-mail