The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Objective To investigate the value of Charlson comorbidity index (CCI) in predicting the short- and long-term risks of death in patients with acute-on-chronic liver failure (ACLF). Methods A total of 317 patients with ACLF who attended The First Hospital of Lanzhou University from December 1, 2016 to December 1, 2021 were enrolled, and according to their prognosis, they were divided into death group with 169 patients and survival group with 148 patients. The two groups were analyzed in terms of clinical data and follow-up data. The group t -test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. The univariate and multivariate Cox proportional-hazards regression model analyses were used to investigate the influencing factors for the prognosis of ACLF patients. The Kaplan-Meier method was used to plot survival curves, and the Log-rank test was used for comparison of survival time between patients with different CCI scores. The receiver operating characteristic (ROC) curve was used to evaluate the performance of CCI and other indices in assessing the prognosis of ACLF patients. Results Among the 317 patients, there were 225 (71.0%) male patients. There were significant differences between the death group and the survival group in age, hemoglobin, white blood cell count, total bilirubin, albumin, Model for End-Stage Liver Disease (MELD) score, prothrombin time activity, CCI, age-adjusted Charlson co-morbidity index (ACCI), and follow-up time (all P < 0.05). The multivariate Cox regression analysis showed that the CCI (hazard ratio [ HR ]=1.351, 95% confidence interval [ CI ]: 1.112-1.641, P =0.002), ACCI ( HR =1.200, 95% CI : 1.011-1.423, P =0.037), and MELD score ( HR =1.076, 95% CI : 1.054-1.099, P < 0.001) were independent risk factors for the prognosis of ACLF patients. Based on CCI score, the patients were divided into CCI ≤4 group with 167 patients, CCI=5 group with 64 patients, and CCI ≥6 group with 86 patients, with a 3-year mortality rate of 26.5%, 83.2%, and 96.9%, respectively, and there was a significant difference in survival time between any two groups after 3 years of follow-up and at the time of follow-up till September 2022 (all P < 0.001). CCI, ACCI, and MELD scores had an area under the ROC curve of 0.845, 0.811, and 0.790, respectively, in predicting the prognosis of ACLF patients. Conclusion As commonly used comorbidity assessment indices, CCI and ACCI scores have certain value in evaluating the short- and long-term prognosis of ACLF patients.

Primary sclerosing cholangitis （PSC） is an immune-mediated chronic cholestatic liver disease and can progress to end-stage liver diseases such as liver cirrhosis and liver failure， and there are still no effective treatment methods at present. Studies have found that T lymphocytes are closely associated with the development and progression of PSC. This article reviews the role of T lymphocytes in PSC， so as to provide new ideas for research on the pathogenesis of PSC and the clinical diagnosis and treatment of PSC.

Objective To explore the value of prophylactic anticoagulation in the 28-day prognosis of patients with severe COVID-19.Methods The clinical data of COVID-19 patients admitted to Guangdong Provincial People's Hospital from December 2022 to January 2023 were collected,including age,gender,past medical history,routine blood test,liver and renal function,procalcitonin,coagulation function,Padua prediction score,antiviral therapy,hormonotherapy,immunotherapy and anticoagulation therapy.The patients were divided into an anticoagula-tion group and a non-anticoagulation group.The differences in various indicators were compared between the two groups.Cox regression was performed to assess the independent risk factors for 28-day mortality and the anticoagula-tion efficacy between the subgroups.Results Among 158 patients,128 received anticoagulation;There were significant differences between the two groups in case number of hypertension and critical condition,lymphocyte count,prothrombin time,D-dimer,and case number of immunotherapy.COX logistic regression showed that antico-agulation(HR = 2.25,95%CI:1.01～5.01,P = 0.048)was an independent risk factor for all-cause mortality of COVID-19 patients within 28 days.Subgroup analysis showed that anticoagulation therapy led to an increase in the 28-day mortality as level of procalcitonin of≥0.5 pg/mL(HR = 2.72,95%CI:1.05～7.04)or D-dimer of<2 000 ng/mL(HR = 9.16,95%CI:1.63～51.48).Conclusions Prophylactic anticoagulation did not reduce all-cause mortality of COVID-19 within 28 days.

Objective:To explore the accuracy of intelligent calculation (IC) method for risk assessment of hospitalization for patients, aiming to build a more advantageous risk assessment system.Methods:The "Search Engine" program was developed based on hospital information system (HIS) of the Fifth Center Hospital in Tianjin, which automatically captured patient information and generated nutritional risk screening 2002 (NRS 2002) score, Caprini thrombosis risk assessment model and Padua thrombosis risk assessment model for venous thromboembolism (VTE), the CHA 2DS 2-VASc for predicting stroke risk stratification in atrial fibrillation and the HAS-BLED for predicting bleeding risk in anticoagulated patients with atrial fibrillation. A randomized controlled trial was conducted. According to the applicable conditions of each risk assessment, 100 risk scores from "Search Engine" program belonged to each risk assessment were randomly selected, defined as the IC group. Manual scoring with the data of the same case at the same time, defined as the traditional calculation (TC) group, compared the consistency of the scores and the difference in time-consuming between the two groups. Results:The Bland-Altman plots showed that the 95% limits of agreement (95% LoA) of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score was -0.46 to 0.41, -0.49 to 0.52, -0.50 to 0.41, -0.67 to 0.60, -0.44 to 0.43, respectively, all P > 0.05. In this study, the Bland-Altman plot showed that 95%, 96%, 97%, 97%, 95% plots fell within the 95% LoA in NRS 2002 score, Caprini score, Padua score, wwCHA 2DS 2-VASc score and HAS-BLED score by the two methods, respectively. The all plots of 95% LoA were within the clinically acceptable range (-0.5 to 0.5 scores). The time-consuming of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score in IC group were significantly shorter than those in TC group [0.72 (0.71, 0.73) seconds vs. 361.02 (322.41, 361.02) seconds, 0.72 (0.72, 0.73) seconds vs. 196.68 (179.99, 291.20) seconds, 0.72 (0.72, 0.73) seconds vs. 105.75 (92.32, 114.70) seconds, 0.72 (0.71, 0.72) seconds vs. 72.66 (56.24, 84.20) seconds, 0.72 (0.71, 0.72) seconds vs. 51.30 (38.88, 57.15) seconds, respectively, all P < 0.001]. Conclusion:For the above five risk assessments, the TC method and IC method has good consistency in scores, and the IC method is faster, which has good application prospect for clinical application.

Objective:To explore the characteristics of the changes in risk score for intensive care unit (ICU) patients during hospitalization by the intelligent calculation method, and to provide evidence for the risk prevention.Methods:In this retrospective study, ICU patients of the Fifth Central Hospital in Tianjin from November 3, 2021 to March 28, 2022 were enrolled and divided into ≥ 14 days group, 10-13 days group, 7-9 days group, and 3-6 days group according to the ICU length of stay. Risk scores assessed by the intelligent calculation method of the ICU patients were collected, including nutritional risk screening 2002 (NRS 2002), Caprini score and Padua score. NRS 2002 score for all patients, Caprini score for surgical patients and Padua score for internal medicine patients were selected. Trends in change of each score were compared between patients admitted to ICU 1, 3, 7 (if necessary), 10 (if necessary), and 14 days (if necessary).Results:A total of 138 patients were involved, including 79 males and 59 females, with an average age of (61.71±18.86) years and an average hospital stay of [6.00 (4.00, 9.25)] days. ① in the group with ICU length of stay ≥ 14 days (21 cases): there was no significant change in the NRS 2002 scores of the patients within 10 days, but the NRS 2002 score was significantly decreased in 14 days as compared with 1 day [3.00 (2.50, 3.50) vs. 4.00 (3.00, 5.00), P < 0.05]; both Caprini and Padua score were increased with prolonged hospital stay and compared with 1 day, the scores at the other time points were significantly increased, especially at 14 days [Caprini score: 5.00 (3.25, 7.00) vs. 2.50 (1.25, 5.50), Padua score: 6.00 (6.00, 7.00) vs. 3.00 (1.00, 3.00), both P < 0.05].② in the group with ICU length of stay from 10-13 days (15 cases): with the prolonged hospital stay, there was no significant change in NRS 2002 score, but both Caprini and Padua score were increased at 3, 7, 10 days, especially at 10 days [Caprini score: 3.00 (2.00, 4.75) vs. 2.00 (0.25, 2.75), Padua score: 5.00 (3.50, 6.00) vs. 2.00 (0.50, 4.00), both P < 0.05].③ in the group with ICU length of stay from 7-9 days (23 cases): compared with 1 day, the NRS 2002 score at 3 days and7 days were decreased, but the Caprini and Padua score were increased, especially at 7 days [NRS 2002 score: 2.00 (1.00, 4.00) vs. 2.00 (2.00, 4.00), Caprini score: 3.00 (2.00, 5.50) vs. 2.00 (0.25, 3.00), Padua score: 5.00 (4.00, 6.00) vs. 2.00 (0, 2.00), all P < 0.05]. ④ in the group with ICU length of stay from 3-6 days (79 cases): compared with 1 day, the NRS 2002 score at 3 days was decreased [NRS 2002 score: 2.00 (1.00, 3.00) vs. 2.00 (1.00, 3.00), P < 0.05], Caprini and Padua score were significantly increased [Caprini score: 3.00 (2.00, 4.00) vs. 2.00 (1.00, 3.00), Padua score: 5.00 (4.00, 5.00) vs. 2.00 (1.00, 3.00), both P < 0.05]. Conclusion:Based on dynamic assessment of intelligent calculation methods, the risk of thrombosis in ICU patients increased with hospital length of stay, and the nutritional risk was generally flat or reducing in different hospitalization periods.

Coronary artery disease (CAD) is a chronic disease but causes the highest mortality and morbidity among the cardiovascular diseases worldwide. Correlations between CAD and gut microbiota have been observed. This suggests that the gut microbiota could become a vital diagnostic marker of CAD, and restoring the gut habitat may become a promising strategy for CAD therapy. The elevated level of trimethylamine-N-oxide (TMAO), a gut microbiota-derived metabolite, was found to be associated with the increased risk of cardiovascular disease and the all-cause mortality. Preclinical studies have shown that it has pro-arteriosclerosis properties. It is likely that regulating the production of TMAO by gut microbiota may become a promising strategy for anti-atherosclerosis therapy. This review summarizes the clinical and preclinical researches on the intervention of CAD by regulating the gut microbiota and the microbiota-derived metabolite TMAO, with the aim to provide new target for the therapy of CAD.
Coronary Artery Disease ; Gastrointestinal Microbiome ; Humans ; Methylamines ; Oxides

Objective To compare the systemic pathologic physiology parameter changes in sheep drowning in freshwater and seawater. Methods The experimental animals were healthy crossbred sheep. According to the envelope method, 24 sheep were randomly divided into two groups, with 12 animals in each group. The animals in both groups were subjected to mechanical ventilation and analgesia and sedation, the drowning models were reproduced by injecting 10-25 mL/kg of seawater or freshwater into the endotracheal tube of animals. The changes in hemodynamics before drowning, immediately after drowning (immediately after water injection) and 30, 60, and 120 minutes after drowning in both groups were recorded. The urine color changes after drowning and occurrence time were recorded. The animals were sacrificed at 120 minutes after drowning, and heart, kidney, liver, spleen and intestine were harvested for pathological observation under light microscope using hematoxylin and eosin (HE) staining. Results ① The changes in systemic hemodynamic: there was no significant difference in hemodynamics before drowning between the two groups.Compared with before drowning, heart rate (HR), mean arterial pressure (MAP), cardiac output (CO), left ventricular maximum systolic force index (dPmax), and pulmonary wedge pressure (PAWP) immediately after drowning in both seawater and freshwater groups were significantly increased, which showed a decrease tendency with drowning time prolongation. Compared with drowning immediately, dPmax at 30 minutes after freshwater drowning was significantly decreased (mmHg/s: 919.83±14.51 vs. 2 628.42±59.75, P < 0.01), which was below the level before drowning till 120 minutes. CO at 30 minutes after freshwater drowning was retreated as compared with drowning immediately, but it was still higher than that before drowning (L/min: 8.25±0.66 vs. 5.75±0.73, P < 0.01). Global end-diastolic volume (GEDV) and PAWP at 120 minutes after freshwater drowning were decreased to the level before drowning [GEDV (mL): 642.92±7.29 vs. 638.25±7.00, PAWP (mmHg, 1 mmHg = 0.133 kPa): 5.83±1.19 vs. 5.42±1.08, both P > 0.05]. Compared with immediately after drowning, MAP, CO and PAWP at 30 minutes after seawater drowning were significantly lowered [MAP (mmHg): 90.50±3.58 vs. 159.42±3.18, CO (L/min): 2.37±0.45 vs. 10.33±0.73, PAWP (mmHg): 4.17±0.72 vs. 11.75±1.82, all P < 0.01], which were lower than those before drowning till 120 minutes. After drowning for 30 minutes, MAP, CO and PAWP in seawater group were significantly lower than those in freshwater group [MAP (mmHg): 90.50±3.58 vs. 117.42±1.78, CO (L/min): 2.37±0.45 vs. 8.25±0.66, PAWP (mmHg): 4.17±0.72 vs. 24.83±1.27], dPmax was significantly increased (mmHg/s: 1 251.42±62.50 vs. 919.83±14.51, all P < 0.01), and the tendency continued till 120 minutes. There was no significant difference in HR at all the time points between the two groups. ② The changes in urine: after freshwater drowning, the animals had hemoglobinuria and lasted until the end of the experiment, and the time of hemoglobinuria occurrence was at 20-35 minutes after drowning with an average of (25.30±5.15) minutes. After seawater drowning, the change in urine was not found until the end of the experiment.③ The variations of each organ tissue in pathology and hematology at 120 minutes after drowning: after freshwater drowning, the systemic tissue edema was found in organs such as heart, kidney, liver, spleen, and small intestine. After seawater drowning, there were different degrees of edema in the systemic organs, and some of them shrank. Conclusions After freshwater drowning, the animals showed decreased dPmax, increased CO and blood volume, edema and hemolysis of the tissue cells. After seawater drowning, CO and blood volume decreased, and some tissue cells were in atrophy.

Objective To investigate the effect of daily quality checklist on intensive care unit (ICU) the incidence of severe patients with hospital associated infection (HAI). Methods A historical control study was conducted. In Tianjin Fifth Center Hospital from June 2016 to May 2017, 286 severe patients with mechanical ventilation (MV) and using ICU daily quality checklist were assigned as the experimental group, and from June 2015 to May 2016, 291 severe patients who did not use the daily quality checklist were selected as the control group. In the control group, the routine treatment, nursing care and ward rounds were the daily ordinary work; in the experimental group, the severe disease ICU quality checklist system was strictly carried out, and every day the doctor and nurse on duty applied the checklist to assess and verify the medical quality given to the patient, including sedation, analgesia, MV, glycemic control, nutrition, etc 16 items. The incidences of ventilation associated pneumonia (VAP), catheter-related bloodstream infection (CRBSI), catheter-associated urinary tract infection (CAUTI), 28-day mortality, time of MV and the length of ICU stay were compared between the two groups. Results Compared with the control group, the incidences of VAP, CRBSI and CAUTI of experimental group were obviously decreased (VAP: 1.78‰ vs. 5.09‰, CRBSI: 1.46‰vs. 5.21‰; CAUTI: 1.39‰ vs. 4.41‰, all P ＜ 0.05), the time of MV and the length of ICU stay in experimental group were significantly shorter than those in the control group [the time of MV (days): 7.81±2.74 vs. 10.62±3.67, the length of ICU stay (days): 8.40±1.94 vs. 11.35±2.47, both P ＜ 0.05]; there was a decreasing tendency of 28-day mortality in experimental group compared with that in control group [5.24% (15/286) vs. 6.19% (18/291)], but no statistical significant difference was seen (P ＞ 0.05). Conclusion Implementation of daily quality checklist can effectively decrease the incidence of HAI in ICU patients, reduce the time of MV and the length of ICU stay.