Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Objective To isolate pathogenic bacteria from the skin of a nude mouse exhibiting squamous skin scurfs, and perform bacterial identification, traceability analysis, and pathogenicity studies to provide a new approach for the diagnosis of pathogens in nude mice with squamous skin scurfs. MethodsSkin swab samples were collected from a nude mouse exhibiting squamous skin scurfs for nucleic acid testing, bacterial isolation and culture, biochemical identification, 16S rDNA gene amplification and sequencing, and whole genome sequencing to construct a phylogenetic tree. Fifteen BALB/c nude mice were randomized into a saline-treated control group, a high-concentration group treated with 1.8×10⁸ CFU/mL of the isolated bacterial suspension, and a low-concentration group treated with 1.8×10⁷ CFU/mL of the isolated bacterial suspension. Pathogenicity was assessed by animal infection experiments and observation of histopathological changes in skin tissue using HE staining. Results The nucleic acid test for Corynebacterium bovis was negative, excluding infection by this organism. The pathogen isolated on mannitol salt agar and blood agar, combined with Gram staining, suggested a Gram-positive Staphylococcus species. The isolated strain was identified by 16S rDNA sequencing and a fully automated microbial identification system as Staphylococcus xylosus. Phylogenetic tree analysis based on whole genome sequencing showed that the strain was most closely related to an isolate from leafy vegetables in South Korea (GenBank GCA_00207825.1). In the high-concentration group, squamous skin scurfs appeared on the head, neck, and back of nude mice on the 17th day post-infection, while in the low concentration group, similar symptoms appeared on the 20th day post-infection and gradually spread to other areas. The scaling symptoms were transient, lasting for 7 days in the high-concentration group and 3 days in the low-concentration group, after which the skin returned to normal. The infection rate was 33.33% in both the high- and low-concentration groups. No significant pathological changes were observed in the skin tissues of infected mice compared to the control group, indicating marked individual differences in the pathogenicity of the strain in nude mice. Conclusion A strain of Staphylococcus xylosus was isolated from the skin of a nude mouse exhibiting squamous skin scurfs. The strain is an opportunistic pathogen that causes transient squamous skin scurfs without significant histopathological changes, and there are individual differences in the sensitivity of nude mice to this strain. These findings can provide valuable data for pathogen identification in immunodeficient or gene knockout mice.

Objective To isolate pathogenic bacteria from the skin of a nude mouse exhibiting squamous skin scurfs, and perform bacterial identification, traceability analysis, and pathogenicity studies to provide a new approach for the diagnosis of pathogens in nude mice with squamous skin scurfs. MethodsSkin swab samples were collected from a nude mouse exhibiting squamous skin scurfs for nucleic acid testing, bacterial isolation and culture, biochemical identification, 16S rDNA gene amplification and sequencing, and whole genome sequencing to construct a phylogenetic tree. Fifteen BALB/c nude mice were randomized into a saline-treated control group, a high-concentration group treated with 1.8×10⁸ CFU/mL of the isolated bacterial suspension, and a low-concentration group treated with 1.8×10⁷ CFU/mL of the isolated bacterial suspension. Pathogenicity was assessed by animal infection experiments and observation of histopathological changes in skin tissue using HE staining. Results The nucleic acid test for Corynebacterium bovis was negative, excluding infection by this organism. The pathogen isolated on mannitol salt agar and blood agar, combined with Gram staining, suggested a Gram-positive Staphylococcus species. The isolated strain was identified by 16S rDNA sequencing and a fully automated microbial identification system as Staphylococcus xylosus. Phylogenetic tree analysis based on whole genome sequencing showed that the strain was most closely related to an isolate from leafy vegetables in South Korea (GenBank GCA_00207825.1). In the high-concentration group, squamous skin scurfs appeared on the head, neck, and back of nude mice on the 17th day post-infection, while in the low concentration group, similar symptoms appeared on the 20th day post-infection and gradually spread to other areas. The scaling symptoms were transient, lasting for 7 days in the high-concentration group and 3 days in the low-concentration group, after which the skin returned to normal. The infection rate was 33.33% in both the high- and low-concentration groups. No significant pathological changes were observed in the skin tissues of infected mice compared to the control group, indicating marked individual differences in the pathogenicity of the strain in nude mice. Conclusion A strain of Staphylococcus xylosus was isolated from the skin of a nude mouse exhibiting squamous skin scurfs. The strain is an opportunistic pathogen that causes transient squamous skin scurfs without significant histopathological changes, and there are individual differences in the sensitivity of nude mice to this strain. These findings can provide valuable data for pathogen identification in immunodeficient or gene knockout mice.

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

OBJECTIVES: This study aimed to use machine learning algorithms to build a prediction model of the first permanent molar caries of 9-year-old children in Suzhou and screen out risk factors. METHODS: Random stratified whole group sampling was applied to randomly select 9-year-old students from 38 primary schools in 14 townships and streets in Wuzhong District for oral examination and questionnaire survey. Multifactor Logistics regression was used to analyze the risk factors of tooth decay. The data set was randomly divided into training sets and verification sets according to 8∶2, and R 4.3.1 was used to build five machine learning algorithms: random forest, decision tree, extreme gradient boosting (XGBoost), Logistics regression, and lightweight gradient enhancement (LightGBM). The predictive effect of these five models was evaluated using the area under the characteristic curve (AUC). The marginal contribution of quantitative characteristics to the caries prediction model was determined through Shapley additive explanations (SHAP). RESULTS: This study included 7 225 samples that met the standard. The caries rate of the first permanent molar was 54.96%. Multifactor Logistic regression analysis showed that sweet drinks, dessert and candy, snack frequency, and snacks before going to bed after brushing teeth were correlated with the occurrence of first permanent molar caries (P<0.05). The AUC values of decision tree, Logistic regression, LightGBM, random forest, and XGBoost were 75.5%, 83.9%, 88.6%, 88.9%, and 90.1%, respectively. Compared with the variables after single heat coding, the SHAP value of high-frequency sweets (such as dessert candy ≥2 times a day, mother's sugary diet ≥2 times a day) and bad oral hygiene habits (such as frequent snacks before going to bed after brushing teeth and irregular brushing teeth) exhibited the highest positive. CONCLUSIONS XGBoost algorithm has a good prediction effect for first permanent molar caries in 9-year-old children. High-frequency sweet factors and bad oral hygiene habits have a strong positive impact on the risk of first permanent molar caries and are key drivers that can be used in the formulation of targeted interventions.
Humans ; Dental Caries/epidemiology* ; Child ; Machine Learning ; China/epidemiology* ; Molar ; Risk Factors ; Female ; Logistic Models ; Male ; Decision Trees ; Algorithms

Objective To analyze the influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation. Methods Clinical data of 66 patients with airway stenosis requiring clinical interventions after lung transplantation were retrospectively analyzed. Univariate and multivariate Cox’s regression models were adopted to analyze the influencing factors of survival of all patients with airway stenosis and those with early airway stenosis. Kaplan-Meier method was used to calculate the overall survival and delineate the survival curve. Results For 66 patients with airway stenosis, the median airway stenosis-free time was 72 (52,102) d, 27% (18/66) for central airway stenosis and 73% (48/66) for distal airway stenosis. Postoperative mechanical ventilation time [hazard ratio (HR) 1.037, 95% confidence interval (CI) 1.005-1.070, P=0.024] and type of surgery (HR 0.400, 95%CI 0.177-0.903, P=0.027) were correlated with the survival of patients with airway stenosis after lung transplantation. The longer the postoperative mechanical ventilation time, the higher the risk of mortality of the recipients. The overall survival of airway stenosis recipients undergoing bilateral lung transplantation was better than that of their counterparts after single lung transplantation. Subgroup analysis showed that grade 3 primary graft dysfunction (PGD) (HR 4.577, 95%CI 1.439-14.555, P=0.010) and immunosuppressive drugs (HR 0.079, 95%CI 0.022-0.287, P<0.001) were associated with the survival of patients with early airway stenosis after lung transplantation. The overall survival of patients with early airway stenosis after lung transplantation without grade 3 PGD was better compared with that of those with grade 3 PGD. The overall survival of patients with early airway stenosis after lung transplantation treated with tacrolimus was superior to that of their counterparts treated with cyclosporine. Conclusions Long postoperative mechanical ventilation time, single lung transplantation, grade 3 PGD and use of cyclosporine may affect the survival of patients with airway stenosis after lung transplantation.

With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.

Objective:To investigate the relationship between intra-abdominal pressure (IAP) and respiratory function in mechanically ventilated children with severe pneumonia and its prognostic value.Methods:A case-series study.Ninety-two children with severe pneumonia who were treated with mechanical ventilation in the Intensive Care Unit of Children′s Hospital Affiliated to Zhengzhou University from May 2019 to May 2021 were taken as the study subjects.The IAP and respiratory function-related indexes of the children were monitored.Those with IAP ≥12 mmHg(1 mmHg=0.133 kPa) were divided into the study group, and those with IAP <12 mmHg were divided into the control group.The difference in respiratory function related indexes between the 2 groups was compared, and the relationship between IAP and respiratory function indexes was analyzed by Pearson correlation.The children were divided into a good prognosis group and a poor prognosis group according to their prognosis.The relevant clinical data of the children in the 2 groups were collected for univariate analysis, and multivariate Logistic regression was used to analyze the risk factors affecting the prognosis of children with mechanical ventilation for severe pneumonia.A receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of IAP on the prognosis of mechanically ventilated children with severe pneumonia.Results:The arterial partial pressure of oxygen (PaO 2) [(80.15±8.23) mmHg], arterial blood oxygen saturation (SaO 2) [(91.32±2.13)%], and oxygenation index (PaO 2/FiO 2) [(198.29±20.25) mmHg] in the study group were lower than those in the control group [(85.74±8.42) mmHg, (97.05±2.47)%, and (234.84±25.24) mmHg], while the respiratory rate (RR) [(56.23±2.16) breaths/min vs. (50.41±2.24) breaths/min], partial pressure of carbon dioxide (PaCO 2) [(36.48±3.72) mmHg vs.(33.29±3.46) mmHg], fraction of inspired oxygen (FiO 2) [(40.42±4.25)% vs.(36.51±3.72)%], mean arterial pressure (MAP) [(55.98±5.69) mmHg vs.(52.79±5.43) mmHg], and positive end expiratory pressure (PEEP) [(5.03±0.52) cmH 2O vs.(4.52±0.47) cmH 2O, 1 cmH 2O=0.098 kPa] were higher than those in the control group, and the differences were all statistically significant (all P<0.05).The IAP of the children in the study group was (14.25±1.83) mmHg, and that in the control group was (10.38±1.14) mmHg.Pearson correlation analysis showed that IAP was negatively correlated with PaO 2, SaO 2, and PaO 2/FiO 2 ( r=-0.615, -0.587, and -0.647, all P<0.05), and was positively correlated with RR, PaCO 2, FiO 2, MAP, and PEEP ( r=0.618, 0.634, 0.579, 0.578, 0.593, all P<0.05).IAP [(14.76±1.58) mmHg], PaCO 2 [(39.95±4.21) mmHg], FiO 2 [(50.29±5.12)%], alanine aminotransferase[(42.08±4.15) U/L], and total bilirubin [(17.92±1.87) μmol/L] in the poor prognosis group were greater than those [(10.75±1.19) mmHg, (35.37±3.64) mmHg, (45.38±4.47)%, (39.87±4.06) U/L, and (17.09±1.75) μmol/L] in the good prognosis group, while PaO 2 [(65.42±7.86) mmHg vs.(76.42±7.51) mmHg], SaO 2 [(90.65±9.26)% vs.(96.21±2.19)%], and PaO 2/FiO 2 [(130.09±15.15) mmHg vs.(168.40±20.17) mmHg] were smaller than those in the good prognosis group, and the differences were statistically significant (all P<0.05).Logistic regression analysis showed that IAP, PaO 2, PaCO 2, and SaO 2 were risk factors affecting the prognosis of mechanically ventilated children with severe pneumonia (all P<0.05).The optimal cut-off point of IAP for predicting a poor prognosis in mechanically ventilated children with severe pneumonia was 14.55 mmHg, and the area under the ROC curve was 0.873, with a sensitivity of 88.10% and a specificity of 76.00%. Conclusions:IAP has a certain relationship with the respiratory function of mechanically ventilated children with severe pneumonia, and has a good predictive value for the prognosis of the children.

Objective To explore the preventive effect of pneumatic compression therapy combined with infrared irradiation against lower extremity deep vein thrombosis(DVT)in critically ill patients.Methods A total of 150 critically ill patients from January 2021 to January 2023 in the Intensive Care Unit,Quanzhou First Hospital Affiliated to Fujian Medical University were selected and divided into control group and observation group,with 75 cases in each group.The control group patients were treated with conventional rehabilitation measures combined with the boot-type intermittent pneumatic compression therapy device for intermittent inflation and compression therapy,while the observation group patients received the bioinformatic feedback infrared therapy besides the treatment in control group.The incidence of DVT,the average time for swelling and pain reduction,the average time for swelling and pain disappearance,total hospitalization time,the hemodynamic indexes of the lower extremities,coagulation indexes,D-dimer,the recurrence rate of swelling and pain,satisfaction with the rehabilitation,and therapeutic efficacy were recorded.Results After 3 months of discharge,the rate of post-discharge swelling and pain recurrence in observation group was 2.67％(2/75),obviously lower than 10.66％(8/75)in control group(P＜0.05).After 14 days of intervention,the lower extremity deep vein blood flow velocity and peak blood velocity of the two groups increased significantly as compared with those before intervention(P＜0.05),and those were greater in observation group than in control group(P＜0.05).After 14 days of intervention,the coagulation indexes(PT,TT,FIB)and D-dimer level were significantly lower or shorter in both groups as compared with those before intervention(P＜0.05);and observation group had shorter PT and TT,and lower levels of FIB and D-dimer than control group(P＜0.05).The average time for swelling and pain reduction,the average time for swelling and pain disappearance,and the total hospitalization time were shorter and the incidence of DVT was obviously lower in observation group as compared with control group(P＜0.05).The overall response rates of 14-day intervention in observation group vs control group were 97.33％(73/75)vs 88.00％(66/75)(P＜0.05).At the discharge,the satisfaction rates in observation group vs control group were 96.00％vs 85.34％(P＜0.05).Conclusion The combination of bioinformatic feedback infrared therapy and boot-type intermittent pneumatic compression therapy device for intermittent inflation and compression therapy can shorten the average time for swelling and pain reduction,the average time for swelling and pain disappearance and the total hospitalization time,enhance the hemodynamics of the lower extremities,improve the coagulation function and D-dimer level,and improve the satisfaction with the rehabilitation and clinical efficacy,worthy of clinical promotion.

Objective:To document the impact of information-based, stepwise, intensive rehabilitation therapy on patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:Eighty such patients in an intensive care unit (ICU) were randomly divided into a control group and an observation group, each of 40. The control group received routine ICU rehabilitation, while the observation group underwent information-based, step-wise ICU rehabilitation. Upon admission to and discharge from the ICU, the forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FEV1/FVC, and diaphragm functioning were compared between the two groups. The duration of mechanical ventilation, the incidence of ventilator-associated pneumonia (VAP), length of stay in the ICU, incidence of delirium, and the incidence of deep vein thrombosis (DVT) were also recorded. The number of patients readmitted to the ICU after discharge, and the 28-day hospital mortality rate were recorded as well.Results:Significant improvement was observed in both groups in terms of their lung and diaphragm functioning, as well as in the rehabilitation- and hospital-related indicators. At discharge, significantly greater improvements were observed in the observation group compared with the control group in terms of their average FEV1, FVC, FEV1/FVC, inspiratory and expiratory diaphragm thickness, and diaphragm thickening rate. The average duration of mechanical ventilation and of rehabilitation interruptions was significantly less in the observation group. And incidents of accidental extubation, VAP, delirium and DVT were significantly fewer in the observation group as well. Their ICU stays tended to be significantly shorter without any significant difference between the two groups in the 28-day hospital mortality rate. The control group spent significantly less time in their daily rehabilitation sessions, with the result that significantly fewer of them achieved a grading of 2 or better on the mMRC respiratory questionnaire.Conclusion:Information-based stepwise intensive rehabilitation treatment can effectively improve the pulmonary and diaphragmatic function of AECOPD patients admitted to an ICU, shorten their mechanical ventilation time and the length of their ICU stay, and lower their incidence of VAP and DVT during hospitalization.