Severe intra-abdominal infections are life-threatening conditions and a significant challenge for surgeons. This article presents a case of an elderly patient with a severe intra-abdominal infection complicated by an anastomotic leak. This patient had experienced prolonged sepsis and multiple surgical traumas. Upon admission to our department, exploratory surgery revealed extensive bowel edema and adhesions, an anastomotic leak, and abdominal contamination with infection. In accordance with the principles of damage control surgery, the anastomotic leak was exteriorized, the abdomen was left open, and continuous intra-abdominal lavage with dual-lumen catheters was implemented to effectively control the infection. Negative pressure wound therapy was used to manage the open abdomen, and a negative pressure-assisted drainage device was used to manage the enteroatmospheric fistula. After granulation of the abdominal wound, split-thickness skin grafting was performed. The enteroatmospheric fistula was converted into an enterocutaneous fistula. A 3D-printed stoma baseplate was used to manage the digestive fistula. Concurrently, enhanced parenteral and enteral nutritional support was provided. Six months later, the patient successfully underwent definitive fistula resection and abdominal wall defect repair.

Objective:To evaluate the efficacy of vacuum sealing drainage (VSD) in the comprehensive management of full-thickness perineal wound dehiscence following pelvic exenteration (PE).Methods:This study employed a descriptive case series design. We retrospectively analyzed the clinical data of 29 patients who developed postoperative perineal wound infections with full-thickness dehiscence after PE. These cases included 16 patients from the Department of General Surgery at Jiangyin People's Hospital (Jiangsu Province) and 13 patients from the Department of Colorectal Surgery at the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital). VSD was applied to manage the dehisced wounds, with outcomes assessed based on wound healing time, complications, and follow-up data.Results:A total of 29 patients were included in the study. The operative time for PE was (498 ± 83) minutes. Among them, 23 patients underwent combined sacrococcygeal resection. The median number of VSD devices used was 28 (22, 39). The postoperative perineal wound healing time was 95 (82, 110) days in patients who underwent combined sacrococcygeal resection, 74 (63, 89) days in those without sacrococcygeal resection, 93 (79, 102) days in those treated with simple pelvic-abdominal isolation using a biological basement membrane mesh and 76 (60, 91) days in those who received combined pelvic packing with a pedicled omental flap. All patients uniformly developed Clavien-Dindo grade III complications at 2 weeks postoperatively, manifesting as perineal wound infection and dehiscence, which were successfully managed with VSD therapy. Subsequent evaluation identified delayed (>30 days) grade III complications, including enterocutaneous (3 cases) and urinary (2 cases) fistulae, all requiring surgical revision. All patients completed the follow-up at 6 months postoperatively. Three patients still presented with minimal exudate from the perineal wound, which resolved after standardized wound care and packing with alginate silver ion dressings. Four cases (13.8%) developed stoma high-output syndrome, which improved after oral medication. Eight patients (27.6%) developed adhesive intestinal obstruction, which improved with conservative treatment.Conclusions:VSD demonstrates unique advantages in managing complex wounds. For full-thickness perineal wound dehiscence after PE, VSD is a safe and effective therapeutic strategy.

Objective To analyze the monitoring of healthcare-associated infection(HAI)in the intensive care unit(ICU)over the past 12 years based on Joinpoint regression model,and evaluate the trend changes and relevant fac-tors of HAI incidence.Methods ICU patients in a tertiary first-class hospital from January 2012 to December 2023 were selected and performed prospective monitoring.Trend changes of HAI incidence and the correlation with con-sumption of hand hygiene products as well as HAI management measures were analyzed.Results From 2012 to 2023,6 929 ICU patients were included in the monitoring,543 patients had 655 episodes of HAI,with incidence and case incidence of HAI being 7.84％ and 9.45％,respectively.The average severity of the disease was 3.62,and the adjusted HAI incidence was 2.17％.The daily incidence of ventilator-associated pneumonia(VAP),cathe-ter-associated urinary tract infection(CAUTI),and central line-associated bloodstream infection(CLABSI)were 6.19‰,3.45‰,and 1.23‰,respectively.The consumption of hand hygiene products was 122.98 mL/bed-day.The compliance rate and correct rate of hand hygiene were 90.63％and 90.46％,respectively.From 2012 to 2023,incidence of HAI(51.29％vs 4.39％),case incidence of HAI(72.41％vs 4.94％),the adjusted incidence of HAI(15.98％vs 1.04％),daily incidence of VAP(22.50‰ vs 4.33‰),daily incidence of CAUTI(14.23‰ vs 1.64‰),and daily incidence of CLABSI(10.60‰ vs 0.20‰)all decreased significantly(all P＜0.05).Both con-sumption of hand hygiene products(75.16 mL/bed-day vs 147.35 mL/bed-day)and correct rate of hand hygiene(85.00％vs 90.28％)increased significantly(both P＜0.05).A total of 1 946 pathogens were detected,with an increase in the proportion of Staphylococcus aureus(1.30％ vs 9.57％)and a decrease in the proportion of fungi(11.04％vs 1.74％).The daily consumption of hand hygiene products negatively correlated with the incidence of HAI,the case incidence of HAI,as well as the daily incidence of CAUTI and CLABSI(all P＜0.05).Incorpora-ting HAI real-time monitoring system and HAI management into performance assessment could decrease HAI-rela-ted incidence(P＜0.05).Conclusion HAI-related incidence presents a downward trend.Scientific and comprehen-sive HAI prevention and control management measures such as healthcare workers'hand hygiene management,on-line HAI real-time monitoring system,and incorporating HAI management into performance assessment can de-crease HAI-related incidence and promote the improvement of medical quality.

Objective:To evaluate the relationship between postoperative changes in femoral head coverage (FHC) after S 2-Alar-Iliac (S 2AI) screw fixation and the development of sagittal imbalance during follow-up in patients with adult spinal deformity (ASD), providing insights for clinical assessment and treatment strategies. Methods:A consecutive cohort of 98 ASD patients who underwent S2AI fixation between September 2019 and September 2021 was retrospectively analyzed. Patients were divided into two groups based on changes in femoral head coverage (ΔFHC): the FHC-C group (upper quartile ΔFHC, 25 cases) and the FHC-NC group (lower quartile ΔFHC, 24 cases). Additionally, patients were classified into proximal junctional kyphosis (PJK) and non-PJK groups based on their clinical outcomes at the last follow-up. Standing full-spine anteroposterior and lateral X-rays were taken preoperatively, postoperatively, and at the two-year follow-up to measure and document the following spinal parameters: Cobb angle, proximal lumbar lordosis (PLL), distal lumbar lordosis (DLL), lumbar lordosis (LL), lordosis distribution index (LDI), sagittal vertical axis (SVA), coronal balance distance (CBD), thoracic kyphosis (TK), T 1 pelvic angle (T 1PA), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), PI-LL, and proximal junctional angle (PJA). Parameters related to hip joint coverage included: femoral head coverage (FHC), lateral center-edge angle (LCE angle), acetabular index (AI), Sharp angle, and extrusion index (EI). Comparisons of radiographic indicators between the two groups were performed at preoperative, postoperative, and final follow-up assessments. The visual analogue scale (VAS) was used to evaluate the hip pain and back pain. Results:At final follow-up, the incidence of PJK was significantly higher in the FHC-NC group [37.5% (9/24)] compared to the FHC-C group [16.0% (4/25)] (χ 2=3.952, P=0.042). Moreover, the increase in sagittal vertical axis (ΔSVA) was significantly greater in the FHC-NC group (35.9±44.7 mm vs. 14.6±31.8 mm, t=2.216, P=0.031). Patients with PJK had significantly higher preoperative T 1PA (36.8°±10.8° vs. 31.9°±18.4°, t=2.150, P=0.034) and lower immediate postoperative ΔFHC (1.7%±1.5% vs. 3.3%±2.5%, t=2.987, P=0.004), as well as lower changes in lateral center-edge angle during follow-up (0.3°±3.0° vs. 1.1°±8.9°, t=2.334, P=0.022). Pearson correlation analysis revealed significant negative correlations between postoperative ΔFHC and both ΔSVA ( r=-0.374, P=0.008) and proximal junctional angle changes (ΔPJA, r=-0.429, P=0.006). Additionally, increases in VAS leg pain scores correlated negatively with immediate postoperative FHC ( r=-0.314, P=0.025) and ΔFHC ( r=-0.298, P=0.031). Logistic regression indicated that immediate postoperative ΔFHC was a protective factor against PJK [ OR=0.722, 95% CI (0.541, 0.963), P=0.009), with a ROC-determined optimal ΔFHC cut-off of 3.90% (AUC=0.723, Youden index=0.847). Conclusions:Postoperative evaluation of femoral head coverage is clinically important for ASD patients undergoing S2AI screw fixation. A pre-to-post ΔFHC below 3.90% may indicate reduced hip compensation capacity, increasing risks for hip pain, sagittal imbalance progression, and PJK postoperatively.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective To explore the polymorphism of tyrosinase (TYR) and melanocortin 1 receptor (MC1R) genes and their mRNA expression levels in relation to coat-color phenotypes in guinea pigs, providing genetic markers for locating dominant traits in guinea pigs. Methods A total of 57 self-bred ordinary-level guinea pigs were selected and divided into three groups based on coat color: white (n=22), variegated (n=22) and black (n=13). The guinea pigs were euthanized with an overdose of pentobarbital sodium via intraperitoneal injection. DNA was then extracted from the dorsal skin tissue. Polymorphism in the coding sequence (CDS) of the exons of the TYR and MC1R genes in each group was detected by cloning and sequencing. The mRNA expression of the two genes in skin tissues was detected by real-time fluorescent quantitative PCR to investigate the relationship between these genes and guinea pig coat color. Results A single nucleotide polymorphism (SNP) site was found in the CDS region of TYR exon Ⅰ, where the base A was replaced by G. All white guinea pigs had the G/G genotype for TYR, while no deep-colored (variegated and black) guinea pigs exhibited the G/G genotype for TYR. Most deep-colored guinea pigs had the A/A genotype, and a few had A/G genotype. The A/A genotype frequency in black guinea pigs was higher than in variegated guinea pigs. A 2 760 bp sequence deletion was identified in the exon of the MC1R gene, marked as the - gene, with non-deleted samples marked as N gene. Most white guinea pigs had the -/- genotype for MC1R, variegated guinea pigs mainly had the -/N genotype, and black guinea pigs mainly had the N/N genotype, with a few showing the -/N. The TYR gene expression level was higher in white guinea pigs, lower in variegated guinea pigs, and intermediate in black guinea pigs, but there was no significant difference among the three groups (P>0.05). The MC1R gene expression level in white guinea pigs was extremely low, while both variegated and black guinea pigs showed significantly higher levels than white guinea pigs (P<0.01). Black guinea pigs showed significantly higher levels than variegated guinea pigs (P<0.05). ConclusionThe TYR and MC1R genes synergistically regulate coat color of guinea pigs. The G-site mutation in the TYR gene may lead to albinism, and the change of N-site in the MC1R gene affects the depth of the coat color.

Severe intra-abdominal infections are life-threatening conditions and a significant challenge for surgeons. This article presents a case of an elderly patient with a severe intra-abdominal infection complicated by an anastomotic leak. This patient had experienced prolonged sepsis and multiple surgical traumas. Upon admission to our department, exploratory surgery revealed extensive bowel edema and adhesions, an anastomotic leak, and abdominal contamination with infection. In accordance with the principles of damage control surgery, the anastomotic leak was exteriorized, the abdomen was left open, and continuous intra-abdominal lavage with dual-lumen catheters was implemented to effectively control the infection. Negative pressure wound therapy was used to manage the open abdomen, and a negative pressure-assisted drainage device was used to manage the enteroatmospheric fistula. After granulation of the abdominal wound, split-thickness skin grafting was performed. The enteroatmospheric fistula was converted into an enterocutaneous fistula. A 3D-printed stoma baseplate was used to manage the digestive fistula. Concurrently, enhanced parenteral and enteral nutritional support was provided. Six months later, the patient successfully underwent definitive fistula resection and abdominal wall defect repair.

Objective:To evaluate the efficacy of vacuum sealing drainage (VSD) in the comprehensive management of full-thickness perineal wound dehiscence following pelvic exenteration (PE).Methods:This study employed a descriptive case series design. We retrospectively analyzed the clinical data of 29 patients who developed postoperative perineal wound infections with full-thickness dehiscence after PE. These cases included 16 patients from the Department of General Surgery at Jiangyin People's Hospital (Jiangsu Province) and 13 patients from the Department of Colorectal Surgery at the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital). VSD was applied to manage the dehisced wounds, with outcomes assessed based on wound healing time, complications, and follow-up data.Results:A total of 29 patients were included in the study. The operative time for PE was (498 ± 83) minutes. Among them, 23 patients underwent combined sacrococcygeal resection. The median number of VSD devices used was 28 (22, 39). The postoperative perineal wound healing time was 95 (82, 110) days in patients who underwent combined sacrococcygeal resection, 74 (63, 89) days in those without sacrococcygeal resection, 93 (79, 102) days in those treated with simple pelvic-abdominal isolation using a biological basement membrane mesh and 76 (60, 91) days in those who received combined pelvic packing with a pedicled omental flap. All patients uniformly developed Clavien-Dindo grade III complications at 2 weeks postoperatively, manifesting as perineal wound infection and dehiscence, which were successfully managed with VSD therapy. Subsequent evaluation identified delayed (>30 days) grade III complications, including enterocutaneous (3 cases) and urinary (2 cases) fistulae, all requiring surgical revision. All patients completed the follow-up at 6 months postoperatively. Three patients still presented with minimal exudate from the perineal wound, which resolved after standardized wound care and packing with alginate silver ion dressings. Four cases (13.8%) developed stoma high-output syndrome, which improved after oral medication. Eight patients (27.6%) developed adhesive intestinal obstruction, which improved with conservative treatment.Conclusions:VSD demonstrates unique advantages in managing complex wounds. For full-thickness perineal wound dehiscence after PE, VSD is a safe and effective therapeutic strategy.

Objective To analyze the monitoring of healthcare-associated infection(HAI)in the intensive care unit(ICU)over the past 12 years based on Joinpoint regression model,and evaluate the trend changes and relevant fac-tors of HAI incidence.Methods ICU patients in a tertiary first-class hospital from January 2012 to December 2023 were selected and performed prospective monitoring.Trend changes of HAI incidence and the correlation with con-sumption of hand hygiene products as well as HAI management measures were analyzed.Results From 2012 to 2023,6 929 ICU patients were included in the monitoring,543 patients had 655 episodes of HAI,with incidence and case incidence of HAI being 7.84％ and 9.45％,respectively.The average severity of the disease was 3.62,and the adjusted HAI incidence was 2.17％.The daily incidence of ventilator-associated pneumonia(VAP),cathe-ter-associated urinary tract infection(CAUTI),and central line-associated bloodstream infection(CLABSI)were 6.19‰,3.45‰,and 1.23‰,respectively.The consumption of hand hygiene products was 122.98 mL/bed-day.The compliance rate and correct rate of hand hygiene were 90.63％and 90.46％,respectively.From 2012 to 2023,incidence of HAI(51.29％vs 4.39％),case incidence of HAI(72.41％vs 4.94％),the adjusted incidence of HAI(15.98％vs 1.04％),daily incidence of VAP(22.50‰ vs 4.33‰),daily incidence of CAUTI(14.23‰ vs 1.64‰),and daily incidence of CLABSI(10.60‰ vs 0.20‰)all decreased significantly(all P＜0.05).Both con-sumption of hand hygiene products(75.16 mL/bed-day vs 147.35 mL/bed-day)and correct rate of hand hygiene(85.00％vs 90.28％)increased significantly(both P＜0.05).A total of 1 946 pathogens were detected,with an increase in the proportion of Staphylococcus aureus(1.30％ vs 9.57％)and a decrease in the proportion of fungi(11.04％vs 1.74％).The daily consumption of hand hygiene products negatively correlated with the incidence of HAI,the case incidence of HAI,as well as the daily incidence of CAUTI and CLABSI(all P＜0.05).Incorpora-ting HAI real-time monitoring system and HAI management into performance assessment could decrease HAI-rela-ted incidence(P＜0.05).Conclusion HAI-related incidence presents a downward trend.Scientific and comprehen-sive HAI prevention and control management measures such as healthcare workers'hand hygiene management,on-line HAI real-time monitoring system,and incorporating HAI management into performance assessment can de-crease HAI-related incidence and promote the improvement of medical quality.

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control