This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.

Objective To explore the efficacy of T-cell spot test of tuberculosis infection(T-SPOT.TB)in the differential diagnosis of spinal tuberculosis(STB),and optimize diagnostic efficacy through the optimal cut-off value of receiver operating characteristic(ROC)curve.Methods Clinical data of patients with spinal infection in a hospi-tal from January 2010 to May 2019 were collected,including preoperative T-SPOT.TB test results,white blood cell count,C-reactive protein,erythrocyte sedimentation rate,procalcitonin,and tuberculosis antibodies,etal.Clinical diagnosis was conducted based on diagnostic criteria.The sensitivity and specificity of T-SPOT.TB in preoperative diagnosis of STB and other spinal infection was analyzed,and the diagnostic efficacy of the optimized T-SPOT.TB indicators was evaluated.Results A total of 132 patients were included in this study,out of whom 78 patients(59.09％)were diagnosed with STB,and 54(40.91％)were diagnosed with non-tuberculosis(non-TB)spinal in-fection.The sensitivity and specificity of T-SPOT.TB in differential diagnosis of STB were 67.68％and 66.67％,respectively.Univariate logistic regression analysis showed that compared with non-TB spinal infection,the OR va-lue of T-SPOT.TB test in diagnosing STB was 4.188(95％CI:1.847-9.974,P＜0.001).The optimized T-SPOT.TB evaluation index through ROC curve to determine the optimal cut-off values of ESAT-6,CFP-10,and CFP-10+ESAT-6 for differential diagnosis of STB and non-TB spinal infection were 12.5,19.5,and 36,respec-tively,and area under curve(AUC)values were 0.765 6,0.741 5,and 0.778 6,respectively,all with good diag-nostic efficacy.CFP-10+ESAT-6 had the highest AUC.CFP-10+ESAT-6 specific spot count had higher efficacy in the diagnosis of STB,with a diagnostic accuracy of 75.56％,higher than 67.42％of pre-optimized T-SPOT.TB.Conclusion T-SPOT.TB test has high diagnostic efficacy in differentiating STB from non-TB spinal infection.Posi-tivity in T-SPOT.TB test,especially with spot count of CFP-10+ESAT-6 over 36,indicates a higher likelihood of STB.

Objective: To evaluate the efficacy and safety of intravenous iron supplementation in patients with recurrent iron deficiency anemia (IDA) . Methods: This retrospective analysis of 90 patients with recurrent IDA from May 2012 to December 2021 was conducted, comparing the efficacy and safety of the intravenous iron therapy group and the oral iron therapy group. Results: Among the 90 patients with recurrent IDA, 20 were males and 70 were females, with a median age of 40 (range: 14-85) years. A total of 60 patients received intravenous iron supplementation and 30 received oral iron supplementation. The hematologic response rates in the intravenous iron group were significantly higher than those in the oral iron group at 4 and 8 weeks after treatment [80.0% (48/60) vs 3.3% (1/30) and 96.7% (58/60) vs 46.7% (14/30), all P<0.001, respectively]. The median increase in hemoglobin levels was also significantly higher in the intravenous iron group than in the oral iron group [38 (4, 66) g/L vs 7 (1, 22) g/L at week 4 and 44.5 (18, 80) g/L vs 19 (3, 53) g/L at week 8, all P<0.001]. The intravenous iron group had a significantly higher proportion of patients who achieved normal hemoglobin levels than the oral iron group (55.0% vs 0 and 90% vs 43.3%, all P<0.001, respectively). Iron metabolism indicators were tested before and after 8 weeks of treatment in 26 and 7 patients in the intravenous and oral iron groups, respectively. The median increase in serum ferritin (SF) levels in the intravenous iron group 8 weeks after treatment was 113.7 (49.7, 413.5) μg/L, and 54% (14/26) of these patients had SF levels of ≥100 μg/L, which was significantly higher than the median increase in SF levels in the oral iron group [14.0 (5.8, 84.2) μg/L, t=4.760, P<0.001] and the proportion of patients with SF levels of ≥100 μg/L (P=0.013). The incidence of adverse reactions was 3.3% (2/60) in the intravenous iron group, which was significantly lower than that in the oral iron group [20.0% (6/30), P=0.015]. Conclusion: Intravenous iron supplementation is more effective for hematologic response, faster hemoglobin increase, and higher iron storage replenishment rates compared with oral iron supplementation in patients with recurrent IDA, and it is well tolerated by patients.
Male ; Female ; Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Anemia, Iron-Deficiency/epidemiology* ; Sucrose/therapeutic use* ; Ferric Compounds/therapeutic use* ; Retrospective Studies ; Iron/therapeutic use* ; Hemoglobins/therapeutic use*

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.

The incidence of anastomotic leakage, a common and serious postoperative complication of low rectal cancer, remains high. Clarifying the risk factors for anastomotic leakage in patients with low rectal cancer after surgery can help guide clinical treatment and help patients improve their prognosis. The current literature suggests that the risk factors affecting the occurrence of anastomotic leakage after low rectal cancer include three aspects: (1) individual factors: male gender, high body mass index, malnutrition, smoking, alcoholism, and metabolic diseases; (2) tumor factors: the lower margin of tumor <5 cm from the anal verge, tumor diameter >2.5 cm, late tumor stage, high level of tumor markers and preoperative intestinal obstruction; (3) surgical factors: long operative time (>180 min), intraoperative bleeding (≥70 ml), more than 2 cartridges of stapling for anastomosis, contamination of the operative field, epidural analgesia and intraoperative hypothermia. Notably, the surgical approach (laparoscopic, open and hand-assisted laparoscopic surgery) was not a factor influencing the occurrence of postoperative anastomotic leakage in low rectal cancer. The findings on the effects of receiving neoadjuvant therapy, gut microbiota,intestinal bowel preparation, insufficient time for preoperative antibiotic prophylaxis, left colonic artery dissection, intraoperative blood transfusion, pelvic drainage, transanal drainage and combined organ resection, and postoperative diarrhea on postoperative anastomotic leakage in low rectal cancer are controversial. However, clinical workers can still take measures to reduce the risk of anastomotic leakage according to the above risk factors by making a good assessment before surgery, actively avoiding them during and after surgery, and taking measures for each step, so as to bring maximum benefits to patients.
Humans ; Male ; Anastomotic Leak/prevention & control* ; Rectum/surgery* ; Rectal Neoplasms/complications* ; Anastomosis, Surgical/adverse effects* ; Laparoscopy/adverse effects*

The micronucleomics test can comprehensively display a variety of harmful endpoints, such as DNA damage and repair, chromosome breakage or loss and cell growth inhibition, with fast, simple and economical feature. Micronucleomics is not only widely used in the comprehensive assessment of the types and modes of genetic action of exogenous chemicals (such as drugs, food additives, cosmetics, environmental pollutants, etc.), but also plays an important role in the screening and risk assessment of cancer population at high risk. However, the traditional micronucleomics image counting method has the characteristics of time-consuming, low accuracy, and high cost, which cannot meet the current analysis requirements of large-scale, multi-index, rapidity, high precision and visualization. In recent years, with the rapid development of the era of precision medicine based on big data, visualized analysis of new micronucleomics based on machine learning and detection strategies based on deep learning have shown a good application prospect. This review, based on the application value of micronucleomics, systematically compares the traditional and new artificial intelligence counting of micronucleus images, and discusses the future direction of micronucleus image detection.
Artificial Intelligence ; Big Data ; Humans ; Machine Learning ; Precision Medicine

OBJECTIVES: To study the association of the levels of heavy metals and trace elements during pregnancy with congenital heart defects (CHD) in offspring, and to establish a model for predicting the probability of CHD based on the levels of heavy metals and trace elements during pregnancy. METHODS: Based on the prospective birth cohort study in Gansu Provincial Maternal and Child Health Hospital in 2010-2012, a nested case-control study was conducted for the follow-up observation of 14 359 pregnant women. Among the pregnant women, 97 pregnant women whose offspring were diagnosed with CHD during follow-up were enrolled as the CHD group, and 194 pregnant women whose offspring had no CHD were selected as the control group. Inductively coupled plasma mass spectrometry was used to measure the levels of heavy metals and trace elements in maternal blood samples and fetal umbilical cord blood samples. A multivariate logistic regression analysis was used to evaluate the association between heavy metal and trace elements and CHD in offspring. A nomogram model for predicting the probability of CHD in offspring was established based on the levels of heavy metals and trace elements during pregnancy. RESULTS: Compared with the control group, the CHD group had significantly higher levels of aluminum (Al), natrium (Na), calcium (Ca), titanium (Ti), selenium (Se), strontium (Sr), stannum (Sn), stibium (Sb), barium (Ba), and thorium (Th) in maternal blood samples (P<0.05), as well as significantly higher levels of Al, zinc (Zn), magnesium (Mg), kalium (K), Ca, Ti, chromium (Cr), copper (Cu), arsenic (As), Se, Sr, argentum (Ag), cadmium (Cd), Sn, and plumbum (Pb) in umbilical cord blood (P<0.05). The multivariate logistic regression analysis showed that the increase in the Sb level in maternal blood was associated with the increase in the risk of CHD in offspring [adjusted odds ratio (^aOR)=4.81, 95% confidence interval (CI): 1.65-14.07, P=0.004], while in umbilical cord blood, the high levels of Al (^aOR=4.22, 95%CI: 1.35-13.16, P=0.013), Mg (^aOR=8.00, 95%CI: 1.52-42.08, P=0.014), and Pb (^aOR=3.82, 95%CI: 0.96-15.23, P=0.049) were significantly associated with the risk of CHD in offspring. The levels of Al, Th, and Sb in maternal blood and levels of Al, Mg, and Pb in umbilical cord blood were included in the predictive model for CHD in offspring based on the levels of heavy metals and trace elements during pregnancy, and the calibration curve of the nomogram predictive model was close to the ideal curve. CONCLUSIONS Increases in the levels of Al, Th, Sb, Mg, and Pb during pregnancy may indicate the increase in the risk of CHD in offspring, and the nomogram predictive model based on these indices can be used to predict the probability of CHD in offspring.
Case-Control Studies ; Child ; Cohort Studies ; Female ; Heart Defects, Congenital/etiology* ; Humans ; Metals, Heavy ; Pregnancy ; Prospective Studies ; Trace Elements/analysis*