Objective To investigate effects of physical exercise (PE) on object recognition memory in adult rats of postnatal isoflurane (Iso) exposures.Methods One hundred and ten postnatal 7-day SD rats (P7) were randomly divided into four groups: normal control group (Naive), Naive+PE group (received physical exercise in P21: a treadmill exercise 30min each day, 5 times/week, for 6 weeks), Iso group (three times of 2-hour Iso exposure in P7, P9, and P11), and Iso+PE group (received PE in P21 after postnatal Iso exposures). In P67, behavioral testing was conducted including open field and object recognition task (ORT), recording the time (Discrimination Ratios, DR) that rats spent on exploring each object, evaluating effects of PE on object recognition memory.Results There was no significant difference in influence of PE on open field testing in all of the groups (P>0.05). Compared with Naive, there was no group difference in DR (P>0.05) for all groups, but the DR of Iso male rats was significantly higher than that of Naive female rats in P67, with significant difference (P=0.034). Compared with non-PE groups, whether or not postnatal Iso exposures, the DR of PE male groups was significantly higher (compared with Naive and Iso group:P67,P=0.050,P=0.017; P95,P=0.037,P=0.019); in female rats, the DR for ISO+PE group was lower than that of Iso group in P67 (P=0.036), but the DR of Naive+PE group was higher than that of Naive group in P95 (P=0.004). Compared with male rats, the DR of non-PE female rats was significantly higher in P67 (vis. Naive and Iso group:P=0.022,P=0.011); but in P95, the DR of non-Iso female groups was significantly higher than that of male groups (vis. Naive and Naive+PE:P=0.008,P=0.017).Conclusions There is no obvious impact of postnatal Iso exposures on object recognition memory of adult rats. These Results also indicate that postnatal PE could improve object recognition memory of non-spatial learning in adult rats. In addition, exercise benefits have gender differences.

The establishment of an economic operating mechanisms for hospitals is a key factor in advancing the growth of public hospitals in the modern age.At present,the due value of key factors such as medical resources and labor value of medical personnel in public hospitals in China has not been fully reflected,which not only restricts the overall operation efficiency of hospitals,but also makes it difficult to realize the marginal value of hospital operation and management.The economic operating mechanisms of public hospitals is in urgent need of reform.Large public hospitals in Henan Province has established an economic operating mechanisms of public hospitals based on intelli-gent finance,comprehensive budget management as the core,and cost control and performance management as the major tools to realize the interconnection of various systems and promote the high-quality development of hospi-tals with the three major supports of industry and finance integration,financial integration and financial integration.

Objective:To analyze the changes and clinical significance of homocysteine (Hcy), folate, and cardiac enzyme levels in patients with alcohol dependence and depression.Methods:A total of 102 patients with alcohol dependence and depression, who received treatment at Wenzhou Seventh People's Hospital from January 2022 to June 2023, were included in the observation group. The degree of alcohol dependence in patients in the observation group was assessed using the Michigan Alcoholism Screening Test (MAST). According to the assessment results, the patients in the observation group were divided into the following subgroups: mild alcohol dependence ( n = 33), moderate alcohol dependence ( n = 37), heavy alcohol dependence ( n = 15), and severe alcohol dependence ( n = 17). The severity of depression among patients in the observation group was assessed with the Hamilton Depression Scale (HAMD). Based on the assessment results, the patients in the observation group were divided into the following subgroups: mild depression ( n = 43), moderate depression ( n = 34), and severe depression ( n = 25). The cognitive function of patients in the observation group was assessed using the Montreal Cognitive Assessment Scale (MoCA). According to the assessment results, the patients in the observation group were divided into normal cognitive function ( n = 73) and cognitive impairment ( n = 29) subgroups. Thirty healthy volunteers from our hospital during the same period were included in the control group. The levels of Hcy, folate, and cardiac enzymes were compared among all groups. The correlations between Hcy, folate, and cardiac enzyme levels with HAMD, MoCA, and MAST scores were analyzed using the Pearson method. Results:The Hcy level in the observation group was (15.21 ± 1.99) μg/L, which was significantly higher than that in the control group [(11.38 ± 1.46) μg/L, t = -9.80, P < 0.001]. The levels of folate, lactate dehydrogenase (LDH), and creatine kinase (CK) in the observation group were (4.82 ± 1.77) μg/L, (122.69 ± 33.98) IU/L, and (87.83 ± 16.52) IU/L, respectively, which were significantly lower than those in the control group [(6.27 ± 1.35) μg/L, (150.56 ± 38.78) IU/L, (98.67 ± 20.29) IU/L, t = 4.16, 3.82, 2.99, all P < 0.05]. The Hcy levels in the mild , moderate, heavy, and severe alcohol dependence subgroups [(13.16 ± 1.23) μg/L, (15.35 ± 0.82) μg/L, (16.79 ± 1.38) μg/L, (17.63 ± 1.22) μg/L] increased sequentially, while the folate levels [(6.11 ± 1.51) μg/L, (4.95 ± 1.40) μg/L, (4.04 ± 0.99) μg/L, (2.70 ± 0.99) μg/L], LDH levels [(153.35 ± 27.47) IU/L, (123.29 ± 16.59) IU/L, (109.83 ± 14.41) IU/L, (73.24 ± 16.86) IU/L], and CK levels [(104.14 ± 12.78) IU/L, (86.48 ± 9.15) IU/L, (78.11 ± 7.85) IU/L, (67.71 ± 9.00) IU/L] decreased sequentially. These differences in Hcy, folate, LDH, and CK levels among the mild, moderate, heavy, and severe alcohol dependence subgroups were statistically significant ( F = 73.24, 26.53, 59.08, 53.86, all P < 0.001). The Hcy levels in the mild, moderate, and severe depression subgroups [(13.75 ± 1.54) μg/L, (15.46 ± 1.17) μg/L, (17.39 ± 1.31) μg/L] increased progressively, while the folate levels [(5.83 ± 1.77) μg/L, (4.67 ± 1.12) μg/L, (3.28 ± 1.26) μg/L], LDH levels [(138.09 ± 33.67) IU/L, (119.73 ± 26.39) IU/L, (100.24 ± 30.88) IU/L], and CK levels [(96.35 ± 15.24) IU/L, (86.73 ± 15.62) IU/L, (74.69 ± 9.71) IU/L] decreased progressively. The differenes in Hcy, folate , LDH, and CK levels among the four depression subgroups were statistically significant ( F = 56.57, 24.36, 12.23, 18.44, all P < 0.001). The Hcy levels in the cognitive impairment group [(17.01 ± 1.63) μg/L] was significantly higher than that in the normal cognitive function group [(14.50 ± 1.64) μg/L, t = -6.97, P < 0.001), and the folate, LDH, and CK levels in the cognitive impairment group were (3.76 ± 1.78) μg/L, (102.71 ± 31.08) IU/L, and (76.00 ± 13.37) IU/L respectively, which were significantly lower than those in the normal cognitive function group [(5.24 ± 1.58) μg/L, (130.63 ± 31.92) IU/L, (92.52 ± 15.31) IU/L, t = 4.11, 4.01, 5.09, all P < 0.001]. Hcy levels were positively correlated with HAMD and MAST scores ( r = 0.854, 0.846, both P < 0.05) and negatively correlated with MoCA scores ( r = -0.648, P < 0.001). Folate, LDH, and CK levels were negatively correlated with HAMD and MAST scores ( r = -0.644, -0.701; r = -0.551, -0.696; r = -0.505, -0.673; all P < 0.001), and they were positively correlated with MoCA scores ( r = 0.514, 0.436, 0.448, all P < 0.001). Conclusion:In patients with alcohol dependence and depression, abnormal levels of Hcy, folate, and cardiac enzymes were observed. These indicators were found to be associated with the severity of alcohol dependence, the level of depression, and cognitive function.

Objective: To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. Methods: The clinical data of 157 severely burned patients in August 2nd Kunshan factory aluminum dust explosion accident conforming to the inclusion criteria were collected. Patients suffering AKI within 90 days after admission were enrolled in group AKI, while the others were enrolled in non-AKI group. Single factor analysis was used to choose independent factors associated with AKI, including sex, age, admission time, features of basic injuries, initial score on admission, treatment condition, and mortality on post injury days 30, 60, and 90. Data were processed with Mann-Whitney U test, chi-square test, and Fisher′s exact test. Variables with P<0.1 in single factor analysis and those with possible clinical significance were brought into the establishment of prediction model. Logistic regression and XGBoost machine learning algorithm were used to build the prediction model of AKI. The area under receiver operating characteristic curve (AUC) was calculated, and the sensitivity and specificity for optimal threshold value were also calculated for each model. Nonparametric resampling test was used to compare the significance of difference of AUC of the two models. Results: (1) Eighty-nine (56.7%) patients developed AKI within 90 days from admission. Compared with 68 patients in non-AKI group, 89 patients in group AKI were older (Z=-2.203, P<0.05), with larger total burn area and full-thickness burn area (Z=-5.200, -6.297, P<0.01), worse acute physical and chronic health evaluation (APACHE) Ⅱ score, abbreviated burn severity index score, and sequential organ failure assessment (SOFA) score on admission (Z=-7.485, -4.739, -4.590, P<0.01), higher occurrence rate of sepsis (χ²=33.087, P<0.01), higher rates of accepting tracheotomy, mechanical ventilation, and continuous renal replacement therapy (χ²=12.373, 17.201, 43.763, P<0.01), larger first excision area (Z=-2.191, P<0.05), and higher mortality on post injury days 30, 60, and 90 (χ²=7.483, 37.259, 45.533, P<0.01). There were no statistically significant differences in sex, open decompression, admission time, 24-hour fluid volume after admission, 48-hour fluid volume after admission, the first 24-hour urine volume, the second 24 hour urine volume, the first excision time, and inhalation injury (χ²=0.529, 3.318, Z=-1.746, -0.016, -1.199, -1.824, -0.625, -1.747, P>0.05). The rates of deep vein catheterization of patients in the two groups were both 100%. (2) There were twenty possible prediction variables for preliminary establishment of model according to the difference results of single factor analysis and clinical significance of variables. (3) The logistic regression prediction model had three variables: APACHE Ⅱ score [odds ratio (OR)=1.36, 95% confidence interval (CI)=1.20-1.53, P<0.001], sepsis (OR=2.63, 95% CI=0.90-7.66, P>0.05), and the first 24-hour urine volume (OR=0.71, 95% CI=0.50-1.01, P>0.05). The AUC of the logistic regression prediction model was 0.875 (95% CI=0.821-0.930), with the specificity and sensitivity of optimal threshold value 84.4% and 77.7%, respectively. (4) XGBoost machine learning model had seven main predictive variables: APACHE Ⅱ score, full-thickness burn area, 24-hour fluid volume after admission, sepsis, the first 24-hour urine volume, SOFA score, and 48-hour fluid volume after admission. The AUC of machine learning model was 0.920 (95% CI=0.879-0.962), higher than that of logistic regression model (P<0.001), with the specificity and sensitivity of optimal threshold value 89.7% and 82.0%, respectively. Conclusions Sepsis and fluid resuscitation are two important predictive variables that can be intervened for AKI in severely burned patients. Machine learning method has a better performance and can provide more accurate prediction for individuals than logistic regression prediction model, and therefore has good clinical application prospect.

A 25-year-old man with extensive burn due to industrial dust explosion was admitted to the First Affiliated Hospital of Naval Medical University on 16th October, 2018. Four days after the first skin grafting and vacuum sealing drainage surgery, the patient developed signs of uncontrolled severe inflammation and shock. However, several atypical manifestations interfered the diagnosis of septic shock. After giving emergency treatment including fluid resuscitation, broad-spectrum antibiotics, and administration of vasopressor agents, the patient′s condition was alleviated, but quickly relapsed and deteriorated, with acute pulmonary edema appeared in the evening of the same day. Finally, the condition was reversed by completely removing the negative pressure devices on upper limbs and thorough dressing change. This case suggests that the diagnosis and treatment of infection in patients with extensive burn need comprehensive analysis. Timely intervention of the wound is the key to control the exacerbation of sepsis. In addition, the possibility of pulmonary edema in patients with sepsis should be on high alert.