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

OBJECTIVE: To observe change in serum growth differentiation factor 11 (GDF11) and killer cell lectin-like receptor B1 (KLRB1), to construct a nomogram model for 28-day death in patients with septic shock, and to explore its predictive value. METHODS: A prospective observational study was conducted. The patients with septic shock admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from September 2023 to March 2025 were selected as the septic shock group, the patients with sepsis admitted to the emergency general ward during the same period were selected as the sepsis group, and healthy individuals undergoing physical examination during the same period were selected as the control group. On the day of hospital admission or physical examination for the research subjects, the levels of serum GDF11 and KLRB1 were detected by enzyme-linked immunosorbent assay (ELISA). The patients with septic shock were divided into survival and death groups based on their 28-day survival status. The patients' gender, age, past medical history, infection site, severity of illness, mechanical ventilation, blood purification, infection indicators, biochemical indicators, coagulation function indicators, and blood lactic acid (Lac) were collected. The clinical data of the patients with septic shock between the two groups with different prognoses were compared. Multivariate Logistic regression analysis was used to screen the risk factors for 28-day death in patients with septic shock, and bivariate Pearson correlation analysis was conducted. A nomogram model was constructed based on the risk factors for 28-day death in patients with septic shock. The discrimination and calibration of the nomogram model were evaluated using the receiver operator characteristic curve (ROC curve), Hosmer-Lemeshow goodness-of-fit test, and calibration curve. The clinical utility of the model was evaluated using clinical decision curve analysis (DCA). RESULTS: A total of 168 patients in the emergency ICU were enrolled in the septic shock group, 40 patients in the emergency general ward were enrolled in the sepsis group, and 40 healthy individuals were enrolled in the control group. Compared with the healthy control group, the serum GDF11 levels in the sepsis and septic shock groups were significantly increased (μg/L: 13.09±3.51, 19.28±5.36 vs. 4.17±0.92, both P < 0.05), and the serum KLRB1 levels were significantly decreased (ng/L: 57.36±11.28, 45.52±9.07 vs. 84.19±17.16, both P < 0.05), with more significant changes in the septic shock group (both P < 0.05). Among the 168 patients with septic shock, 96 survived and 72 died within 28 days. Compared with the survival group, the serum GDF11 level in the death group was significantly increased (μg/L: 24.24±4.81 vs. 15.56±4.62, P < 0.05), and the serum KLRB1 level was significantly decreased (ng/L: 28.53±8.69 vs. 58.26±9.45, P < 0.05). There were also statistically significant differences in sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHEII) score, procalcitonin (PCT), activated partial thromboplastin time (APTT), D-dimer, and Lac between the two groups. Multivariate Logistic regression analysis showed that SOFA score [odds ratio (OR) = 1.96, 95% confidence interval (95%CI) was 1.38-3.65), Lac (OR = 1.38, 95%CI was 1.09-2.01), GDF11 (OR = 1.54, 95%CI was 1.21-2.33) and KLRB1 (OR = 0.64, 95%CI was 0.41-0.78) were independent risk factors for 28-day death in patients with septic shock (all P < 0.05). Bivariate Pearson correlation analysis showed that SOFA score was significantly positively correlated with Lac and GDF11 (r value was 0.37 and 0.58, respectively, both P < 0.05), and significantly negatively correlated with KLRB1 (r = -0.72, P < 0.05). A nomogram model was constructed based on the risk factors for 28-day death in patients with septic shock. ROC curve analysis showed that the area under the ROC curve (AUC) of the nomogram model for predicting 28-day death in patients with septic shock was 0.963 (95%CI was 0.929-0.990), indicating that the model had good discrimination and predictive ability. The Hosmer-Lemeshow goodness-of-fit test (χ ² = 9.578, P = 0.295) and calibration curve indicated that the predicted values of the model were in good agreement with the actual values. DCA indicated that the model provided a high net benefit for clinical decision-making. CONCLUSIONS The serum GDF11 level was significantly increased and the KLRB1 level was significantly decreased in patients with septic shock. The nomogram model based on GDF11 and KLRB1 could more accurately evaluate the 28-day death of patients with septic shock.
Humans ; Shock, Septic/blood* ; Nomograms ; Prospective Studies ; Prognosis ; Male ; Female ; Middle Aged ; Aged ; Intensive Care Units

Objective:To investigate the application value of optimized mesenteric defect closure technique in laparoscopic-assisted right hemicolectomy.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 26 patients who underwent laparo-scopic-assisted right hemicolectomy at Changzhi People′s Hospital Affiliated to Changzhi Medical College from May 2023 to June 2024 were collected. There were 11 males and 15 females, aged (65.7±1.8)years. All patients received optimized mesenteric defect closure using a combined extra-corporeal-laparoscopic suturing technique. Observation indicators: (1) surgical and intraoperative conditions; (2) postoperative conditions; (3) follow-up. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3) or M(range). Count data were described as absolute numbers. Results:(1) Surgical and intraoperative conditions. All 26 patients underwent laparoscopic-assisted right hemicolectomy with optimized mesenteric defect closure. The time of optimized mesenteric defect closure was 9.8(8.8,12.8)minutes, time of digestive tract reconstruction was 10.0(8.7,13.0)minutes, operation time was (164±4)minutes, volume of intraoperative blood loss was 50(50,100)mL. One of the 26 patients had intraoperative mesenteric hematoma, which required no specific intervention. The patient recovered uneventfully and was discharged from hospital. (2) Postoperative conditions. The visual analog scale pain score of 26 patients on postoperative day 1 and day 3 were 5(4,5) and 3(2,3), respectively. Time to postoperative first anal flatus and bowel movement were both 3(3, 4)days. Time to postoperative first intake of liquid diet was 2(2,3)days, duration of postoperative abdominal drainage was 4(3,5)days, and duration of postoperative hospital stay was 9(8,12)days. The number of lymph node dissected in 26 patients was 25(18,27) and the number of positive lymph node was 1(0,2). Cases in stage Ⅰ, stage Ⅱ and stage Ⅲ of tumor TNM staging were 5, 6, 15. (3) Follow-up. All 26 patients were followed up for 15(range, 6?20)months. Of the 26 patients, one case had incom-plete intestinal obstruction on postoperative day 25, which was diagnosed as adhesive intestinal obstruction based on imaging examination and classified as Clavien-Dindo grade Ⅱ. The patient recovered and was discharged after conservative treatment. None of the 26 patients had bleeding, infection of incision, anastomotic leakage, internal hernia, or delayed gastric emptying. There was no tumor recurrence, metastasis or death.Conclusion:The optimized mesenteric defect closure tech-nique in combined extracorporeal-laparoscopic suturing procedure can be used in laparoscopic-assisted right hemicolectomy.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

Objective To investigate the value of neutrophil to lymphocyte ratio(NLR)and lymphocyte to monocyte ratio(LMR)in the diagnosis and prognosis of patients with sepsis.Methods From January 2022 to December 2022,patients in the First Affiliated Hospital of Soochow University were recruited in this study,including 47 patients with sepsis(sepsis group),31 with infection but not diagnosed as sepsis(infection group),and 25 healthy individuals(control group)were simultaneously chosen.Patients with sepsis were assigned to non-shock group(32 cases)or shock group(15 cases),survivors group(38 cases)or deaths group(9 cases).Procalcitonin(PCT),C-reactive protein(CRP)and routine blood tests were analyzed and compared between groups.Spearman's correlation test was used to analyze the correlation among NLR,LMR and PCT,PCR,lymphocyte,monocyte,neutrophil,platelet and SOFA scores,the diagnostic value of NLR and LMR in sepsis was evaluated by plotting the receiver operating characteristic(ROC)curve.Results The NLR was 12.54(7.53,23.42)in sepsis group,3.85(1.83,5.64)in infection group,and 1.71(1.39,2.20)in normal control group.The corresponding LMR was 1.58(1.07,3.03),2.81(1.53,4.76),and 5.16(4.04,6.59),respectively.NLR was negatively correlated with LMR(rs=-0.469,P＜0.05).The NLR on day 7(NLR7)was 6.56(3.90,10.72)in the non-shock group and 15.20(7.53,27.31)in shock group.The corresponding △NLR7 was-1.64(-5.75,0.41)and 1.98(-0.48,13.79)in the two groups.The shock group had significantly higher △NLR7 than the non-shock group(P＜0.05).NLR7 was 7.10(4.09,12.96)in the survivors and 15.20(10.45,32.82)in the deaths group.The corresponding △NLR7 was-0.65(-5.58,1.58)and 5.02(-1.12,17.06)in the two groups.The deaths group had significantly higher △NLR7 than the survivors group(P＜0.05).The LMR on day 7(LMR7)was 2.22(1.64,3.78)in the non-shock group and 1.29(0.66,2.03)in shock group.The corresponding △LMR7 was 0.38(-0.37,1.17)and-0.19(-0.78,0.25)in the two groups.The shock group had significantly lower △LMR7 than the non-shock group(P＜0.05).LMR7 was 2.12(1.49,3.42)in the survivors group and 1.09(0.53,1.78)in the deaths group.The deaths group had significantly lower LMR7 than the survivors group(P＜0.05).The AUC of NLR was 0.959 1(95％CI:0.910 5-1.000 0)in diagnosis of sepsis.The best cut-off value was 4.16.The A UC of LMR was 0.913 6(95％CI:0.846 4-0.980 8)in diagnosis of sepsis.The best cut-off value was 3.21.Conclusions NLR and LMR can be used to evaluate the severity and prognosis of patients with sepsis.These two markers may play a role in the diagnosis of sepsis.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.

Objective To investigate the value of neutrophil to lymphocyte ratio(NLR)and lymphocyte to monocyte ratio(LMR)in the diagnosis and prognosis of patients with sepsis.Methods From January 2022 to December 2022,patients in the First Affiliated Hospital of Soochow University were recruited in this study,including 47 patients with sepsis(sepsis group),31 with infection but not diagnosed as sepsis(infection group),and 25 healthy individuals(control group)were simultaneously chosen.Patients with sepsis were assigned to non-shock group(32 cases)or shock group(15 cases),survivors group(38 cases)or deaths group(9 cases).Procalcitonin(PCT),C-reactive protein(CRP)and routine blood tests were analyzed and compared between groups.Spearman's correlation test was used to analyze the correlation among NLR,LMR and PCT,PCR,lymphocyte,monocyte,neutrophil,platelet and SOFA scores,the diagnostic value of NLR and LMR in sepsis was evaluated by plotting the receiver operating characteristic(ROC)curve.Results The NLR was 12.54(7.53,23.42)in sepsis group,3.85(1.83,5.64)in infection group,and 1.71(1.39,2.20)in normal control group.The corresponding LMR was 1.58(1.07,3.03),2.81(1.53,4.76),and 5.16(4.04,6.59),respectively.NLR was negatively correlated with LMR(rs=-0.469,P＜0.05).The NLR on day 7(NLR7)was 6.56(3.90,10.72)in the non-shock group and 15.20(7.53,27.31)in shock group.The corresponding △NLR7 was-1.64(-5.75,0.41)and 1.98(-0.48,13.79)in the two groups.The shock group had significantly higher △NLR7 than the non-shock group(P＜0.05).NLR7 was 7.10(4.09,12.96)in the survivors and 15.20(10.45,32.82)in the deaths group.The corresponding △NLR7 was-0.65(-5.58,1.58)and 5.02(-1.12,17.06)in the two groups.The deaths group had significantly higher △NLR7 than the survivors group(P＜0.05).The LMR on day 7(LMR7)was 2.22(1.64,3.78)in the non-shock group and 1.29(0.66,2.03)in shock group.The corresponding △LMR7 was 0.38(-0.37,1.17)and-0.19(-0.78,0.25)in the two groups.The shock group had significantly lower △LMR7 than the non-shock group(P＜0.05).LMR7 was 2.12(1.49,3.42)in the survivors group and 1.09(0.53,1.78)in the deaths group.The deaths group had significantly lower LMR7 than the survivors group(P＜0.05).The AUC of NLR was 0.959 1(95％CI:0.910 5-1.000 0)in diagnosis of sepsis.The best cut-off value was 4.16.The A UC of LMR was 0.913 6(95％CI:0.846 4-0.980 8)in diagnosis of sepsis.The best cut-off value was 3.21.Conclusions NLR and LMR can be used to evaluate the severity and prognosis of patients with sepsis.These two markers may play a role in the diagnosis of sepsis.

Objective:To investigate the application value of optimized mesenteric defect closure technique in laparoscopic-assisted right hemicolectomy.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 26 patients who underwent laparo-scopic-assisted right hemicolectomy at Changzhi People′s Hospital Affiliated to Changzhi Medical College from May 2023 to June 2024 were collected. There were 11 males and 15 females, aged (65.7±1.8)years. All patients received optimized mesenteric defect closure using a combined extra-corporeal-laparoscopic suturing technique. Observation indicators: (1) surgical and intraoperative conditions; (2) postoperative conditions; (3) follow-up. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3) or M(range). Count data were described as absolute numbers. Results:(1) Surgical and intraoperative conditions. All 26 patients underwent laparoscopic-assisted right hemicolectomy with optimized mesenteric defect closure. The time of optimized mesenteric defect closure was 9.8(8.8,12.8)minutes, time of digestive tract reconstruction was 10.0(8.7,13.0)minutes, operation time was (164±4)minutes, volume of intraoperative blood loss was 50(50,100)mL. One of the 26 patients had intraoperative mesenteric hematoma, which required no specific intervention. The patient recovered uneventfully and was discharged from hospital. (2) Postoperative conditions. The visual analog scale pain score of 26 patients on postoperative day 1 and day 3 were 5(4,5) and 3(2,3), respectively. Time to postoperative first anal flatus and bowel movement were both 3(3, 4)days. Time to postoperative first intake of liquid diet was 2(2,3)days, duration of postoperative abdominal drainage was 4(3,5)days, and duration of postoperative hospital stay was 9(8,12)days. The number of lymph node dissected in 26 patients was 25(18,27) and the number of positive lymph node was 1(0,2). Cases in stage Ⅰ, stage Ⅱ and stage Ⅲ of tumor TNM staging were 5, 6, 15. (3) Follow-up. All 26 patients were followed up for 15(range, 6?20)months. Of the 26 patients, one case had incom-plete intestinal obstruction on postoperative day 25, which was diagnosed as adhesive intestinal obstruction based on imaging examination and classified as Clavien-Dindo grade Ⅱ. The patient recovered and was discharged after conservative treatment. None of the 26 patients had bleeding, infection of incision, anastomotic leakage, internal hernia, or delayed gastric emptying. There was no tumor recurrence, metastasis or death.Conclusion:The optimized mesenteric defect closure tech-nique in combined extracorporeal-laparoscopic suturing procedure can be used in laparoscopic-assisted right hemicolectomy.

Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.