Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective:To explore the clinical efficacy of cenegermin in the treatment of neurotrophic keratitis (NK).Methods:An observational case series study was adopted.Twenty-two patients (26 eyes) with moderate and severe NK diagnosed in Xi'an No.1 Hospital from June to November 2021 were collected and locally treated with cenegermin eye drop.After the corneal epithelium of the affected eye healed, the treatment ended.Relevant index data of patients before and after treatment were obtained through eye examination.The main indicators were the fiber length of corneal sensation measured by Cochet-Bonnet aesthesiometer, the morphological and quantitative indexes of corneal nerves by in vivo confocal microscopy, including the density of corneal nerve fibers and the number of nerve bifurcation points, and tear meniscus height measured by Keratograph Ocular Surface Analyzer.The secondary indicators were best corrected visual acuity (BCVA) and adverse reactions.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Xi'an No.1 Hospital (No.2021-11). Written informed consent was obtained from each subject. Results:The average treatment duration of patients receiving cenegermin was (4.42±1.86) weeks.After treatment, the corneal epithelial defect of moderate and severe patients healed completely.After treatment, the fiber length of sensation of corneal epithelial defect area and superior defect area were improved, the differences were statistically significant ( Z=-2.45, -3.22; both at P<0.05). There was no significant difference in corneal sensation in inferior, nasal and temporal of corneal epithelial defect area between before and after treatment ( Z=-1.89, -0.31, -1.86; all at P>0.05). After treatment, the average corneal nerve fiber density and the number of corneal nerve fiber bifurcation points in the affected eyes were significantly increased ( Z=-3.95, -3.48; both at P<0.01). There was no significant difference in the tear meniscus height between before and after treatment ( Z=-1.58, P=0.11). After treatment, the BCVA (LogMAR) of patients was 0.22(0.10, 0.40), which was higher than 0.52(0.30, 0.70) at baseline, and the difference was statistically significant ( Z=-3.63, P<0.01). During the treatment of cenegermin eye drops, transient pain occurred in 3 eyes, and intraocular pressure increased in 1 eye, which all returned to normal after symptomatic treatment. Conclusions:Topical application of cenegermin can repair corneal nerve morphology and function in patients with NK.

Acute cerebral infarction(ACI)has the characteristics of onset nasty and high mortality,and thus the rapid determination of the occurrence and development of ACI plays a key role in the diagnosis,treatment and prognosis of ACI patients.It has shown that the serum level of human haptoglobin(Hp)is related to ACI.In this study,surface enhanced Raman scattering(SERS)combined with immune recognition was applied to establish a quantitative analysis method for serum Hp.Firstly,the SERS substrate of silver nanoparticles was prepared on silicon wafer,and 4-mercaptobenzoic Acid(MBA)was used as a Raman probe by forming Ag—S bond and connecting it on the surface of nanoparticles.The carboxyl group of MBA was linked to amino group of self-made high-affinity antibody through forming CO—NH structure thus forming a SERS self-assembled chip of Hp(Ag/MBA/anti-Hp).Hp in serum could be specifically captured by antibodies on SERS substrate,which caused the shift of SERS characteristic peak of MBA.The results showed that there was a good linear relationship between the logarithm of Hp concentration and the SERS characteristic peak shift of MBA.The detection range was 1-1000 ng/mL(R2=0.988).The Hp concentrations in serum of 90 ACI patients were determined by this method,and the results were consistent with those of ELISA method,which proved the practicability and accuracy of this method.This method was highly specific,simple and convenient,which could realize the specific recognition and quantitative analysis of serum Hp,so as to be an effective means for clinical detection of serum Hp,thus providing a reference for the treatment and prognosis of ACI.

Objective To investigate the changes and clinical significance of NOD like receptor protein 3(NLRP3)in-flammasomes and related factors in patients with spinal fractures complicated with acute spinal cord injury(SCI).Methods Eighty-six spinal fracture patients complicated with acute SCI admitted to hospital from June 2019 to March 2022 were selected as SCI group,There were 48 males and 38 females,with an average age of(43.48±6.58)years old.And 100 healthy volunteers who underwent physical examination during the same time were selected as control group,including 56 males patients and 44 females patients,with an average age of(45.13±6.43)years old.Peripheral blood mononuclear cell(PBMC)were collected,and the mRNA expressions of NLRP3 and Caspase-1 were detected.Serum was collected and the levels of interleukin(IL)-1β,IL-18 were detected.According to Frankel's grade,the SCI group was divided into complete injury patients and incomplete injury patients,and according to the Japanese Orthopedic Society(JOA)grade,the SCI group was divided into good prognosis group and poor prognosis group.The difference of NLRP3,Caspase-1,IL-1β,IL-18 among groups were compared,the influ-encing factors for poor prognosis in SCI patients was analyzed by Logistic regression.Results The mRNA expression levels of NLRP3(1.41±0.33)and Caspase-1(1.44±0.35)in PBMC and the levels of IL-1β(45.34±13.22)pg·ml-1,IL-18(40.95±8.77)pg·ml-1 in serum of SCI group were higher than those of the control group[(1.00±0.19),(1.00±0.16),(16.58±4.24)pg·ml-1,(12.57±3.68)pg·ml-1](P＜0.05).The mRNA expression levels of NLRP3(1.63±0.34)and Caspase-1(1.67±0.27)in PBMC and the levels of IL-1β(51.09±11.10)pg·ml-1,IL-18(47.65±7.93)pg·ml-1 in serum of patients with complete injury in the SCI group were higher than those of patients with incomplete injury[(1.31±0.27),(1.34±0.33),(42.85±13.36)pg·ml-1,(38.05±7.48)pg·ml-1](P＜0.05).The mRNA expression levels of NLRP3(1.66±0.31)and Caspase-1(1.72±0.31)in PBMC and the levels of IL-1β(51.21±11.31)pg·ml-1,IL-18(45.70±7.25)pg·ml-1 in serum,the proportion of complete injury(21 patients),and the proportion of spinal cord edema or bleeding of patients(15 patients)with poor prognosis in the SCI group were higher than those of patients with good prognosis[(1.28±0.26),(1.37±0.36),(42.79±13.25)pg·ml-1、(38.90±8.63)pg·ml-1,5、20 cases](P＜0.05).Complete injury and the mRNA expression of NLRP3 in PBMC were the influencing fac-tors for poor prognosis in the SCI group(P＜0.05).Conclusion The activation of NLRP3 inflammasomes in patients with spinal fractures complicated with acute SCI is associated with worsening injury and poor prognosis,and NLRP3 expression can serve as a marker for evaluating prognosis.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

As an important advance in the treatment of anti-tumor therapy,immune checkpoint inhibitors significantly prolong the survival of patients with malignant tumors.At the same time,immune-related adverse reactions are also increasing,among which ICIs have increased the risk of acute coronary events,but clinical reports are rare.This paper analyzes the history of a patient with pulmonary small cell neuroendocrine carcinoma who developed acute myocardial infarction after ICIs treatment,suggesting that clinicians should be alert to the occurrence of ICIs-related acute myocardial infarction,and improve the prognosis of patients through early identification and intervention.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.