Isaridin E Protects against Sepsis by Inhibiting Von Willebrand Factor-Induced Endothelial Hyperpermeability and Platelet-Endothelium Interaction.

Endothelial hyperpermeability is pivotal in sepsis-associated multi-organ dysfunction. Increased von Willebrand factor (vWF) plasma levels, stemming from activated platelets and endothelium injury during sepsis, can bind to integrin αvß3, exacerbating endothelial permeability. Hence, targeting this pathway presents a potential therapeutic avenue for sepsis. Recently, we identified isaridin E (ISE), a marine-derived fungal cyclohexadepsipeptide, as a promising antiplatelet and antithrombotic agent with a low bleeding risk. ISE's influence on septic mortality and sepsis-induced lung injury in a mouse model of sepsis, induced by caecal ligation and puncture, is investigated in this study. ISE dose-dependently improved survival rates, mitigating lung injury, thrombocytopenia, pulmonary endothelial permeability, and vascular inflammation in the mouse model. ISE markedly curtailed vWF release from activated platelets in septic mice by suppressing vesicle-associated membrane protein 8 and soluble N-ethylmaleide-sensitive factor attachment protein 23 overexpression. Moreover, ISE inhibited healthy human platelet adhesion to cultured lipopolysaccharide (LPS)-stimulated human umbilical vein endothelial cells (HUVECs), thereby significantly decreasing vWF secretion and endothelial hyperpermeability. Using cilengitide, a selective integrin αvß3 inhibitor, it was found that ISE can improve endothelial hyperpermeability by inhibiting vWF binding to αvß3. Activation of the integrin αvß3-FAK/Src pathway likely underlies vWF-induced endothelial dysfunction in sepsis. In conclusion, ISE protects against sepsis by inhibiting endothelial hyperpermeability and platelet-endothelium interactions.

A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study.

BACKGROUND: Patients with bone metastasis often experience a significantly limited survival time, and a life expectancy of <3 months is generally regarded as a contraindication for extensive invasive surgeries. In this context, the accurate prediction of survival becomes very important since it serves as a crucial guide in making clinical decisions. OBJECTIVE: This study aimed to develop a machine learning-based web calculator that can provide an accurate assessment of the likelihood of early death among patients with bone metastasis. METHODS: This study analyzed a large cohort of 118,227 patients diagnosed with bone metastasis between 2010 and 2019 using the data obtained from a national cancer database. The entire cohort of patients was randomly split 9:1 into a training group (n=106,492) and a validation group (n=11,735). Six approaches-logistic regression, extreme gradient boosting machine, decision tree, random forest, neural network, and gradient boosting machine-were implemented in this study. The performance of these approaches was evaluated using 11 measures, and each approach was ranked based on its performance in each measure. Patients (n=332) from a teaching hospital were used as the external validation group, and external validation was performed using the optimal model. RESULTS: In the entire cohort, a substantial proportion of patients (43,305/118,227, 36.63%) experienced early death. Among the different approaches evaluated, the gradient boosting machine exhibited the highest score of prediction performance (54 points), followed by the neural network (52 points) and extreme gradient boosting machine (50 points). The gradient boosting machine demonstrated a favorable discrimination ability, with an area under the curve of 0.858 (95% CI 0.851-0.865). In addition, the calibration slope was 1.02, and the intercept-in-large value was -0.02, indicating good calibration of the model. Patients were divided into 2 risk groups using a threshold of 37% based on the gradient boosting machine. Patients in the high-risk group (3105/4315, 71.96%) were found to be 4.5 times more likely to experience early death compared with those in the low-risk group (1159/7420, 15.62%). External validation of the model demonstrated a high area under the curve of 0.847 (95% CI 0.798-0.895), indicating its robust performance. The model developed by the gradient boosting machine has been deployed on the internet as a calculator. CONCLUSIONS: This study develops a machine learning-based calculator to assess the probability of early death among patients with bone metastasis. The calculator has the potential to guide clinical decision-making and improve the care of patients with bone metastasis by identifying those at a higher risk of early death.

A novel nomogram to stratify quality of life among advanced cancer patients with spinal metastatic disease after examining demographics, dietary habits, therapeutic interventions, and mental health status.

BACKGROUND: It would be very helpful to stratify patients and direct patient selection if risk factors for quality of life were identified in a particular population. Nonetheless, it is still challenging to forecast the health-related quality of life among individuals with spinal metastases. The goal of this study was to stratify patient's populations for whom the assessment of quality of life should be encouraged by developing and validating a nomogram to predict the quality of life among advanced cancer patients with spine metastases. METHODS: This study prospectively analyzed 208 advanced cancer patients with spine metastases, and collected their general characteristics, food preferences, addictions, comorbidities, therapeutic strategies, and mental health status. The functional assessment of cancer therapy-general (FACT-G) and hospital anxiety and depression scale (HADS) were used to assess quality of life and mental health, respectively. The complete cohort of patients was randomly divided into two groups: a training set and a validation set. Patients from the training set were conducted to train and develop a nomogram, while patients in the validation set were performed to internally validate the nomogram. The nomogram contained significant variables discovered using the least absolute shrinkage and selection operator (LASSO) approach in conjunction with 10-fold cross-validation. The nomogram's predictive ability was assessed utilizing discrimination, calibration, and clinical usefulness. Internal validation was also completed using the bootstrap method after applying 500 iterations of procedures. A web calculator was also developed to promote clinical practice. RESULTS: Advance cancer patients with spinal metastases had an extremely low quality of life, as indicated by the average FACT-G score of just 60.32 ± 20.41. According to the LASSO and 10-fold cross-validation, Eastern Cooperative Oncology Group (ECOG) score, having an uncompleted life goal, preference for eating vegetables, chemotherapy, anxiety status, and depression status were selected as nomogram predictors. In the training set, the area under the receiver operating characteristic curve (AUROC) was 0.90 (95% CI: 0.84-0.96), while in the validation set, it was 0.85 (95% CI: 0.78-0.93). They were 0.50 (95% CI: 0.41-0.58) and 0.44 (95% CI: 0.33-0.56), respectively, for the discrimination slopes. The nomogram had favorable capacity to calibrate and was clinically useful, according to the calibration curve and decision curve analysis. When compared to patients in the low-risk group, patients in the high-risk group were above four times more likely to experience a poor quality of life (82.18% vs. 21.50%, P < 0.001). In comparison to patients in the low-risk group, patients in the high-risk group also exhibited significant higher levels of anxiety and depression. The webpage for the web calculator was https://starshiny.shinyapps.io/DynNomapp-lys/ . CONCLUSIONS: This study suggests a nomogram that can be applied as a practical clinical tool to forecast and categorize the quality of life among patients with spine metastases. Additionally, patients with poor quality of life experience more severe anxiety and depression. Effective interventions should be carried out as soon as possible, especially for patients in the high-risk group, to improve their quality of life and mental health condition.

Increased intracellular Cl- concentration mediates neutrophil extracellular traps formation in atherosclerotic cardiovascular diseases.

Neutrophil extracellular traps (NETs) play crucial roles in atherosclerotic cardiovascular diseases such as acute coronary syndrome (ACS). Our preliminary study shows that oxidized low-density lipoprotein (oxLDL)-induced NET formation is accompanied by an elevated intracellular Cl- concentration ([Cl-]i) and reduced cystic fibrosis transmembrane conductance regulator (CFTR) expression in freshly isolated human blood neutrophils. Herein we investigated whether and how [Cl-]i regulated NET formation in vitro and in vivo. We showed that neutrophil [Cl-]i and NET levels were increased in global CFTR null (Cftr-/-) mice in the resting state, which was mimicked by intravenous injection of the CFTR inhibitor, CFTRinh-172, in wild-type mice. OxLDL-induced NET formation was aggravated by defective CFTR function. Clamping [Cl-]i at high levels directly triggered NET formation. Furthermore, we demonstrated that increased [Cl-]i by CFTRinh-172 or CFTR knockout increased the phosphorylation of serum- and glucocorticoid-inducible protein kinase 1 (SGK1) and generation of intracellular reactive oxygen species in neutrophils, and promoted oxLDL-induced NET formation and pro-inflammatory cytokine production. Consistently, peripheral blood samples obtained from atherosclerotic ApoE-/- mice or stable angina (SA) and ST-elevation ACS (STE-ACS) patients exhibited increased neutrophil [Cl-]i and SGK1 activity, decreased CFTR expression, and elevated NET levels. VX-661, a CFTR corrector, reduced the NET formation in the peripheral blood sample obtained from oxLDL-injected mice, ApoE-/- atherosclerotic mice or patients with STE-ACS by lowering neutrophil [Cl-]i. These results demonstrate that elevated neutrophil [Cl-]i during the development of atherosclerosis and ACS contributes to increased NET formation via Cl--sensitive SGK1 signaling, suggesting that defective CFTR function might be a novel therapeutic target for atherosclerotic cardiovascular diseases.

Platelet CFTR inhibition enhances arterial thrombosis via increasing intracellular Cl- concentration and activation of SGK1 signaling pathway.

Platelet hyperactivity is essential for thrombus formation in coronary artery diseases (CAD). Dysfunction of the cystic fibrosis transmembrane conductance regulator (CFTR) in patients with cystic fibrosis elevates intracellular Cl- levels ([Cl-]i) and enhanced platelet hyperactivity. In this study, we explored whether alteration of [Cl-]i has a pathological role in regulating platelet hyperactivity and arterial thrombosis formation. CFTR expression was significantly decreased, while [Cl-]i was increased in platelets from CAD patients. In a FeCl3-induced mouse mesenteric arteriole thrombosis model, platelet-specific Cftr-knockout and/or pre-administration of ion channel inhibitor CFTRinh-172 increased platelet [Cl-]i, which accelerated thrombus formation, enhanced platelet aggregation and ATP release, and increased P2Y12 and PAR4 expression in platelets. Conversely, Cftr-overexpressing platelets resulted in subnormal [Cl-]i, thereby decreasing thrombosis formation. Our results showed that clamping [Cl-]i at high levels or Cftr deficiency-induced [Cl-]i increasement dramatically augmented phosphorylation (Ser422) of serum and glucocorticoid-regulated kinase (SGK1), subsequently upregulated P2Y12 and PAR4 expression via NF-κB signaling. Constitutively active mutant S422D SGK1 markedly increased P2Y12 and PAR4 expression. The specific SGK1 inhibitor GSK-650394 decreased platelet aggregation in wildtype and platelet-specific Cftr knockout mice, and platelet SGK1 phosphorylation was observed in line with increased [Cl-]i and decreased CFTR expression in CAD patients. Co-transfection of S422D SGK1 and adenovirus-induced CFTR overexpression in MEG-01 cells restored platelet activation signaling cascade. Our results suggest that [Cl-]i is a novel positive regulator of platelet activation and arterial thrombus formation via the activation of a [Cl-]i-sensitive SGK1 signaling pathway. Therefore, [Cl-]i in platelets is a novel potential biomarker for platelet hyperactivity, and CFTR may be a potential therapeutic target for platelet activation in CAD.

Antiplatelet and Antithrombotic Effects of Isaridin E Isolated from the Marine-Derived Fungus via Downregulating the PI3K/Akt Signaling Pathway.

Isaridin E, a cyclodepsipeptide isolated from the marine-derived fungus Amphichorda felina (syn. Beauveria felina) SYSU-MS7908, has been demonstrated to possess anti-inflammatory and insecticidal activities. Here, we first found that isaridin E concentration-dependently inhibited ADP-induced platelet aggregation, activation, and secretion in vitro, but did not affect collagen- or thrombin-induced platelet aggregation. Furthermore, isaridin E dose-dependently reduced thrombosis formation in an FeCl3-induced mouse carotid model without increasing the bleeding time. Mechanistically, isaridin E significantly decreased the ADP-mediated phosphorylation of PI3K and Akt. In conclusion, these results suggest that isaridin E exerts potent antithrombotic effects in vivo without increasing the risk of bleeding, which may be due to its important role in inhibiting ADP-induced platelet activation, secretion and aggregation via the PI3K/Akt pathways.

Fluorimetric determination of histidine by exploiting its inhibitory effect on the oxidation of thiamine by cobalt-containing Prussian Blue nanocubes.

A fluorometric assay for histidine (His) is described. It is based on the inhibitory effect of His on nanocubes consisting of cobalt-containing Prussian Blue analog (CoFe NCbs), which have a strong oxidation effect on thiamine (THI) in the presence of NaOH. THI is nonfluorescent but the oxidized form (thiochrome; ThC) has a strong blue fluorescence, with excitation/emission maxima at 370/445 nm. His inhibits the oxidation effect of the CoFe NCbs due to the strong interaction between its imidazole side chain and the amino groups of the CoFe NCbs. This method is fast and has good sensitivity and selectivity. The lower detection limit is 14.3 nM of His, the linear range extends from 0.05 to 2.5 µM, and the relative standard deviation is calculated to be 1.5%. The method was successfully employed to quantify His in spiked serum samples. Graphical abstractSchematic representation of cobalt-containing Prussian Blue nanocubes (CoFe NCbs)-thiamine (THI)-based fluorometric assay for Histine (His). His inhibits the generation of thiochrome (ThC; the oxidized form of THI). The detection limit is 14.3 nM with the linear range of 0.05-2.5 µM.

A validated preoperative score predicting survival and functional outcome in lung cancer patients operated with posterior decompression and stabilization for metastatic spinal cord compression.

PURPOSE: This study aims to create and validate a score for survival and functional outcome of lung cancer patients with metastatic spinal cord compression (MSCC) after posterior decompressive surgery. METHODS: The entire cohort of 73 consecutive patients was randomly assigned to a test group (N = 37) and a validation group (N = 36). In the test group, we retrospectively analyzed 10 preoperative characteristics. Characteristics significantly associated with survival on multivariate analysis were included in the score. Patients in the validation group were used to confirm whether the score was reproducible. Postoperative functional outcome was analyzed both in the test and validation groups. RESULTS: On multivariate analysis, preoperative ambulatory status (P = 0.0017), visceral metastases (P = 0.0002), and time developing motor deficits (P = 0.0004) had significant impact on survival and were included in the scoring system. According to the prognostic scores, which ranged from 0 to 6 points, two risk groups were designed: 0-2 and 3-6 points and the median survival was 2.6 months (95 % CI, 1.0-3.8 months) and 10.7 months (95 % CI, 7.1-13.7 months), respectively (P < 0.0001). In the validation group, the corresponding median survival was 2.7 months (95 % CI, 1.6-5.5 months) and 10.8 months (5.8-13.6 months), respectively (P < 0.0001). In addition, the functional outcome was worse in patients with 0-2 points than in patients with 3-6 points both in the test (P = 0.0023) and validation groups (P = 0.0298). CONCLUSION: Patients with scores of 0-2 points, who have short survival time (life expectancy less than 3 months) and poor functional outcome, appear best treated with radiotherapy or best supportive care alone. Surgery may be no longer in consideration in most of the patients in this group. Patients with score of 3-6 points should be surgical candidates, because survival prognosis (life expectancy more than 10 months) and functional outcome are favorable after surgery.

Tantalum rod implantation for femoral head osteonecrosis: survivorship analysis and determination of prognostic factors for total hip arthroplasty.

PURPOSE: The purpose of this study was to evaluate the moderate survival data of porous tantalum rod implants for the treatment of osteonecrosis of the femoral head (ONFH). Additionally, some independent prognostic factors for conversion to total hip arthroplasty (THA) were identified. METHODS: The porous tantalum rod population was obtained from a prospective, consecutive group of patients treated for Steinberg stage I and II osteonecrosis from April 2009 through July 2011. The historical core decompression and impaction of bone filling particle subjects underwent surgery from April 2007 through March 2009. Surgical data including time of surgery, blood loss, and cell transfusions were recorded. Post-operative values were measured for hospitalization length as well as days requiring a patient-controlled analgesia (PCA) pump. Primary outcomes were Harris hip score and survivorship analysis. Demographics and baseline characteristics included age, sex, etiology, bilateral disease, associated chronic systemic disease, Steinberg stage, Harris hip score, accompanied with bone marrow edema of femoral head, and osteonecrotic lesion size. RESULTS: Demographic/baseline characteristics were similar between two groups. At the post-operative follow-up of 62 months, Harris hip scores were significantly increased (P < 0.0001) when compared to that before surgery in both groups. The magnitude of increase in the tantalum rod implant group was significantly greater than that in the control group (P = 0.0426). With an average follow-up of 48 months (range, 38-62 months), the tantalum rod group had an 84.6 % survival rate. With an average follow-up of 72 months (range, 67-85 months), the control group had a 63.3 % survival rate. A comparison of Kaplan-Meier curves showed significantly higher cumulative survival rates (P = 0.048) for hips with implantation of the porous tantalum rod (74.1 % at 62 months) than for those with impaction composite bone material (49.9 % at 62 months). The Cox proportional-hazard model revealed that implantation of tantalum rod (P = 0.012), bone marrow edema (P = 0.003), corticosteroids intake (P = 0.007), and age less than 50 years (P = 0.014) were the independent prognostic factors related to conversion into THA. CONCLUSIONS: Compared with the traditional impaction composite bone material technique, implantation of tantalum rod in the treatment of Steinberg stages I and II ONFH can obtain better clinical results and higher cumulative survival rates. For patients without the use of corticosteroids, and especially for hips without bone marrow oedema, the clinical results from our study show highly encouraging survival rates and a delay in or prevention of conversion into THA.

Prediction of survival prognosis after surgery in patients with symptomatic metastatic spinal cord compression from non-small cell lung cancer.

BACKGROUND: The aim of this study was to develop a scoring system for prediction of survival prognosis after surgery in patients with symptomatic metastatic spinal cord compression (MSCC) from non-small cell lung cancer (NSCLC). METHODS: We retrospectively analyzed nine preoperative characteristics for survival in a series of 64 patients with NSCLC who were operated with posterior decompression and spine stabilization for MSCC. Characteristics significantly associated with survival on multivariate analysis were included in the scoring system. The scoring point for each significant characteristic was derived from the hazard ratios on Cox proportional hazards model. The total score for each patient was obtained by adding the scoring points of all significant characteristics. RESULTS: Eastern Cooperative Oncology Group (ECOG) performance status, number of involved vertebrae, visceral metastases, and time developing motor deficits had significant impact on survival on multivariate analysis and were included in the scoring system. According to the prognostic scores, which ranged from 4 to 10 points, three prognostic groups were designed: 4-5 points (n = 22), 6-7 points (n = 23), and 8-10 points (n = 19). The corresponding 6-month survival rates were 95, 47 and 11%, respectively (P < 0.0001). In addition, the functional outcome was worse in the group of patients with 8-10 points compared with other two prognostic groups. CONCLUSIONS: The new scoring system will enable physicians to identify patient with MSCC from NSCLC who may be a candidate for decompression and spine stabilization, more radical surgery, or supportive care alone. Patients with scores of 4-5, who have the most favorable survival prognosis and functional outcome, can be treated with more radical surgery in order to realize better local control of disease and prevent the occurrence of local disease. Patients with scores of 6-7 points should be surgical candidates, because survival prognosis and functional outcome are acceptable after surgery, while patients with scores of 8-10 points, who have the shortest survival time and poorest functional outcome after surgery, appear to be best treated with radiotherapy or best supportive care.

A Meta-Analysis of Arthroscopic versus Open Repair for Treatment of Bankart Lesions in the Shoulder.

BACKGROUND: The optimal treatment for Bankart lesion remains controversial. Therefore, we performed this meta-analysis to compare the clinical outcomes of patients managed with open Bankart repair versus arthroscopic Bankart repair. MATERIAL AND METHODS: After systematic review of online databases, a total of 11 trials with 1022 subjects were included. The methodological quality of randomized controlled trials (RCTs) was assessed using the PEDro critical appraisal tool, and non-RCTs were evaluated by Newcastle-Ottawa (NO) quality assessment tool. Outcomes of shoulder stability, range of motion (ROM), functional scales, and surgical times were analyzed. RESULTS: Data synthesis showed significant differences between the two strategies, with regards to stability of the shoulder (P=0.008, RR=0.94, 95% CI: 0.89 to 0.98), and ROM (P<0.001, SMD=-0.47, 95% CI: -0.72 to -0.22). CONCLUSIONS: Open Bankart repair produced a more stable shoulder but had a relatively poor shoulder motion, compared with arthroscopic Bankart repair, for the treatment of Bankart lesion.

Association of CD44 Gene Polymorphism with Survival of NSCLC and Risk of Bone Metastasis.

BACKGROUND: Previous studies have reported CD44 expression played an important role in the development and progression of tumor. The aim of study was to investigate whether single nucleotide polymorphisms (SNPs) of CD44 gene were associated with risk of non-small cell lung cancer (NSCLC), survival and occurrence rate of bone metastasis in patients with NSCLC. MATERIAL AND METHODS: A total of 234 patients with NSCLC between 2003 and 2010 were enrolled in this study and 468 healthy persons were used as controls. Two polymorphisms, rs13347 and rs187115, in the CD44 gene were genotyped using DNA from blood lymphocytes. For statistical analysis we used the chi-square test, Fisher's exact test, Kaplan-Meier method, and log-rank test. RESULTS: CD44 gene rs13347 polymorphism was not associated with NSCLC risk. For rs187115, the association with NSCLC risk was observed (P<0.001). Allele G carriers had significantly higher occurrence rates of bone metastasis (OR=0.4, 95%CI: 0.20-0.64, P<0.001) and more advanced tumor stage (OR=2.6, 95%CI: 1.50-4.45, P=0.001) compared to carriers of allele A. The survival rates for patients with AA genotype were significantly higher than for patients with the AG+GG genotypes (P<0.001). In multivariate analysis of survival in NSCLC patients, significant predictors were CD44 gene (AG+GG) (RR=0.48, 95%CI: 0.34-0.68, P<0.001), tumor stage (RR=0.45, 95%CI: 0. 0.31-0.65, P<0.001), and bone metastasis (RR=1.52, 95%CI: 1.05-2.21, P=0.027). CONCLUSIONS: CD44 gene rs187115 polymorphism is a potential predictive marker of survival in NSCLC patients, and is significantly correlated with bone metastasis and tumor stage.

[A modified porous tantalum implant technology for osteonecrosis of the femoral head: survival and prognostic evaluations of conversion into total hip arthroplasty].

OBJECTIVE: To assess the survival and prognostic significance of various demographic and radiographic parameters for conversion into total hip arthroplasty after treatment with a modified porous tantalum implant technology for early and intermediate stages of osteonecrosis of the femoral head (ONFH). METHODS: This study included 45 patients (59 hips) with Steinberg Stage I-IV A ONFH undergoing progressively core decompression, impaction bone grafting of 5 mm-composite bone filling material and inserting of a porous tantalum implant. Weight-bearing was forbidden within the first 3 months after implants. RESULTS: A total of 57 hips (44 patients) were available during a mean follow-up period of 44.8 (11-62) months. Their mean age was 43 (21-70) years. The mean Harris hip score significantly improved from 59.93 ± 2.80 preoperative to 77.84 ± 2.95 at the last follow-up (P < 0.001). Overall, 11 hips (19.30%) were converted into total hip arthroplasty. The overall survival rate was 72.49% at 60 months postoperatively. The Cox proportional hazard model revealed that bone marrow edema was an independent prognostic factor related with a conversion into total hip arthroplasty. CONCLUSION: Higher survival rates may be obtained from modified tantalum implant technology for early and intermediate stages of ONFH. And prognosis was poor for patients of ONFH with bone marrow edema.

Promoting postoperative recovery in patients with metastatic epidural spinal cord compression based on the concept of ERAS: a multicenter analysis of 304 patients.

BACKGROUND CONTEXT: Enhanced recovery after surgery (ERAS) has proven beneficial for patients undergoing orthopedic surgery. However, the application of ERAS in the context of metastatic epidural spinal cord compression (MESCC) remains undefined. PURPOSE: This study aims to establish a medical pathway rooted in the ERAS concept, with the ultimate goal of scrutinizing its efficacy in enhancing postoperative outcomes among patients suffering from MESCC. STUDY DESIGN/SETTING: An observational cohort study. PATIENT SAMPLE: A total of 304 patients with MESCC who underwent surgery were collected between January 2016 and January 2023 at two large tertiary hospitals. OUTCOME MEASURES: Surgery-related variables, patient quality of life, and pain outcomes. Surgery-related variables in the study included surgery time, surgery site, intraoperative blood loss, and complication. METHODS: From January 2020 onwards, ERAS therapies were implemented for MESCC patients in both institutions. Thus, the ERAS cohort included 138 patients with MESCC who underwent surgery from January 2020 to January 2023, whereas the traditional cohort consisted of 166 patients with MESCC who underwent surgery from January 2016 to December 2019. Clinical baseline characteristics, surgery-related features, and surgical outcomes were collected. Patient quality of life was evaluated using the Functional Assessment of Cancer Therapy-General Scale (FACT-G), and pain outcomes were assessed using the Visual Analogue Scale (VAS). RESULTS: Comparison of baseline characteristics revealed that the two cohorts were similar (all p>.050), indicating comparable distribution of clinical characteristics. In terms of surgical outcomes, patients in the ERAS cohort exhibited lower intraoperative blood loss (p<.001), shorter postoperative hospital stays (p<.001), lower perioperative complication rates (p=.020), as well as significantly shorter time to ambulation (P<0.001), resumption of regular diet (p<.001), removal of urinary catheter (p<.001), initiation of radiation therapy (p<.001), and initiation of systemic internal therapy (p<.001) compared with patients in the traditional cohort. Regarding pain outcomes and quality of life, patients undergoing the ERAS program demonstrated significantly lower VAS scores (p<.010) and higher scores for physical (p<.001), social (p<.001), emotional (p<.001), and functional (p<.001) well-being compared with patients in the traditional cohort. CONCLUSIONS: The ERAS program, renowned for its ability to expedite postoperative recuperation, emerges as a promising approach to ameliorate the recovery process in MESCC patients. Not only does it exhibit potential in enhancing pain management outcomes, but it also holds the promise of elevating the overall quality of life for these individuals. Future investigations should delve deeper into the intricate components of the ERAS program, aiming to unravel the precise mechanisms that underlie its remarkable impact on patient outcomes.

A New Treatment Strategy for Spinal Metastasis: The "Systemic Conditions, Effectiveness of Systemic Treatment, Neurology, and Oncology" Decision Framework System.

BACKGROUND AND OBJECTIVES: Treating metastatic spinal tumors poses a significant challenge because there are currently no universally applied guidelines for managing spinal metastases. This study aims to propose a new decision framework for the 12-point epidural spinal cord compression grading system to treat patients with metastatic spinal tumors and investigate its clinical effectiveness in a multicenter analysis. METHODS: This study analyzed 940 patients with metastatic spinal tumors between December 2017 and March 2023. The study provided the clinical evidence for the systemic conditions, effectiveness of systemic treatment, neurology, and oncology (SENO) decision framework among spine metastases. The SENO decision framework was launched in January 2021 in our hospitals, classifying patients into 2 groups: The non-SENO group (n = 489) consisted of patients treated between December 2017 and January 2021, while the SENO group (n = 451) comprised patients treated from January 2021 to March 2023. RESULTS: Patients in the SENO group were more likely to receive minimally invasive surgery (67.85% vs 58.69%) and less chance of receiving spinal cord circular decompression surgery (14.41% vs 24.74%) than patients in the non-SENO group ( P < .001). Furthermore, patients in the SENO group experienced fewer perioperative complications (9.09% vs 15.34%, P = .004), incurred lower hospitalization costs ( P < .001), had shorter length of hospitalization ( P < .001), and received systematic treatments for tumors earlier ( P < .001). As a result, patients in the SENO group (329.00 [95% CI: 292.06-365.94] days) demonstrated significantly improved survival outcomes compared with those in the non-SENO group (279.00 [95% CI: 256.91-301.09], days) ( P < .001). At 3 months postdischarge, patients in the SENO group reported greater improvements in their quality of life, encompassing physical, social, emotional, and functional well-being, when compared with patients in the non-SENO group. CONCLUSION: The SENO decision framework is a promising approach for treating patients with metastatic spinal tumors.

Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis.

BACKGROUND: Identification of patients with high-risk of experiencing inability to walk after surgery is important for surgeons to make therapeutic strategies for patients with metastatic spinal disease. However, there is a lack of clinical tool to assess postoperative ambulatory status for those patients. The emergence of artificial intelligence (AI) brings a promising opportunity to develop accurate prediction models. METHODS: This study collected 455 patients with metastatic spinal disease who underwent posterior decompressive surgery at three tertiary medical institutions. Of these, 220 patients were collected from one medical institution to form the model derivation cohort, while 89 and 146 patients were collected from two other medical institutions to form the external validation cohorts 1 and 2, respectively. Patients in the model derivation cohort were used to develop and internally validate models. To establish the interactive AI platform, machine learning techniques were used to develop prediction models, including logistic regression (LR), decision tree (DT), random forest (RF), extreme gradient boosting machine (eXGBM), support vector machine (SVM), and neural network (NN). Furthermore, to enhance the resilience of the study's model, an ensemble machine learning approach was employed using a soft-voting method by combining the results of the above six algorithms. A scoring system incorporating 10 evaluation metrics was used to comprehensively assess the prediction performance of the developed models. The scoring system had a total score of 0 to 60, with higher scores denoting better prediction performance. An interactive AI platform was further deployed via Streamlit. The prediction performance was compared between medical experts and the AI platform in assessing the risk of experiencing postoperative inability to walk among patients with metastatic spinal disease. RESULTS: Among all developed models, the ensemble model outperformed the six other models with the highest score of 57, followed by the eXGBM model (54), SVM model (50), and NN model (50). The ensemble model had the best performance in accuracy and calibration slope, and the second-best performance in precise, recall, specificity, area under the curve (AUC), Brier score, and log loss. The scores of the LR model, RF model, and DT model were 39, 46, and 26, respectively. External validation demonstrated that the ensemble model had an AUC value of 0.873 (95% CI: 0.809-0.936) in the external validation cohort 1 and 0.924 (95% CI: 0.890-0.959) in the external validation cohort 2. In the new ensemble machine learning model excluding the feature of the number of comorbidities, the AUC value was still as high as 0.916 (95% CI: 0.863-0.969). In addition, the AUC values of the new model were 0.880 (95% CI: 0.819-0.940) in the external validation cohort 1 and 0.922 (95% CI: 0.887-0.958) in the external validation cohort 2, indicating favorable generalization of the model. The interactive AI platform was further deployed online based on the final machine learning model, and it was available at https://postoperativeambulatory-izpdr6gsxxwhitr8fubutd.streamlit.app/ . By using the AI platform, researchers were able to obtain the individual predicted risk of postoperative inability to walk, gain insights into the key factors influencing the outcome, and find the stratified therapeutic recommendations. The AUC value obtained from the AI platform was significantly higher than the average AUC value achieved by the medical experts ( P <0.001), denoting that the AI platform obviously outperformed the individual medical experts. CONCLUSIONS: The study successfully develops and validates an interactive AI platform for evaluating the risk of postoperative loss of ambulatory ability in patients with metastatic spinal disease. This AI platform has the potential to serve as a valuable model for guiding healthcare professionals in implementing surgical plans and ultimately enhancing patient outcomes.

Core decompression and implantation of bone marrow mononuclear cells with porous hydroxylapatite composite filler for the treatment of osteonecrosis of the femoral head.

BACKGROUND: Implanted bone marrow mononuclear cells (BMMCs) may promote both osteogenesis and angiogenesis in the femoral head. The aim of this study was to investigate the effectiveness of core decompression and implantation of BMMCs with porous hydroxyapatite bone filler for the treatment of osteonecrosis of the femoral head (ONFH). METHODS: Patients with ONFH underwent core decompression and implantation of nano-hydroxyapatite/polyamide bone filler with or without BMMCs. Primary outcomes were changes in Harris hip and visual analogue scale (VAS) pain scores. Secondary outcomes included radiological and clinical success rates, adverse events, and complications. RESULTS: Demographic/baseline characteristics were similar between groups (BMMC, n = 17 with 26 ONFH hips; control, n = 17 with 27 ONFH hips). Harris hip scores were significantly increased (P < 0.05) in both groups of patients after surgery (last follow-up). The magnitude of increase was significantly greater in the BMMC as compared with the control group (28.6 ± 0.5 vs. 18.4 ± 1.7 %, P < 0.001). VAS scores were significantly decreased (P < 0.05) in both groups after surgery (last follow-up). The magnitude of decrease was significantly greater in the BMMC as compared with the control group (-66.3 ± 1.4 vs. -51.7 ± 2.9 %, P < 0.001). Radiological and clinical success rates were significantly higher in the BMMC as compared with the control group (82.5 vs. 40.7 % and 75.4 vs. 37.0 %, respectively, P < 0.001). Postoperative collapse of the femoral head was less common in the BMMC as compared with the control group (17.5 vs. 59.3 %, P < 0.01). CONCLUSIONS: Both core decompression with or without implantation of BMMC are effective treatment for ONFH. However, core decompression with implantation of BMMCs and porous hydroxyapatite bone filler may be a more effective treatment for ONFH.

[Efficacies of bone-marrow-derived mononuclear cells with a hydroxylapatite composite in the treatment of osteonecrosis of the femoral head].

OBJECTIVE: To evaluate the efficacies of core decompression and implantation of concentrated autologous bone marrow containing mononuclear cells (BMMCs) with porous hydroxylapatite composite in the treatment of osteonecrosis of the femoral head. METHODS: A total of 35 patients with 57 osteonecrosis hips with ARCO stage I, stage II and stage IIIA disease were treated by BMMCs with a porous hydroxylapatite composite. The mean age at surgery was 39.4 (26-58) years and the mean period of follow-up 28 (12-40) months. In the control group, cell-free porous hydroxylapatite composite was implanted into 17 patients (27 hips) with osteonecrosis of the femoral head and the outcomes were compared. RESULTS: At the last follow-up, postoperative Harris hip scores significantly increased in both groups (P < 0.0001). The magnitude of increase was significantly greater in the BMMCs group compared with the control group (28.3% ± 0.9% vs 18.4% ± 1.7%, P < 0.01). Postoperative visual analog scale (VAS) scores significantly decreased in both groups (P < 0.01). The magnitude of decrease was significantly greater in the BMMCs group compared with the control group (-70.2% ± 2.1% vs -51.7% ± 2.9%, P < 0.001). The clinical success rate was significantly higher in the BMMCs group compared with the control group (75.4% vs 37.0%, P < 0.01). The radiological success rates were similar between the BMMCs and control groups (59.6% vs 40.7%, P = 0.1046). CONCLUSION: The combined regimen of core decompression and implantation of concentrated autologous BMMCs with porous hydroxylapatite composite appears to confer benefits in the treatment of in stages I-IIIA osteonecrosis of the femoral head.

[FEM simulation of complex lumbar spinal stenosis decompression surgery].

This paper aims to establish an accurate finite element model of complete lumbar spine with complex lumbar spinal stenosis (LSS), and then to do comparison and analysis of normal model and decompression surgery model. Firstly, we chose some patients with complex LSS and then collected the CT scanned data. Then we generated a complete FE model of Lumbar with complex LSS using a specially designed modeling system, and we also created a normal lumbar model and a decompression treated model. We applied same boundary conditions in all the three models. The results showed that the active movement range of complex LSS was smaller than that of the normal model, but the movement range of the decompression model was larger than that of the normal. There are stress concentration around the endplate and disk at the degenerative intervertebral? disk L4-L5 and adjacent disk L3-L4 for LSS model, and the stress of the decompression model increased more significantly. This simulation demonstrated that the treatment of simple decompression for lumbar spine with complex LSS can release the pain, but may result in unstability and accelerate the degeneration.

[Progress of decompression surgery for spinal metastases].

The spine is the most common site of bone metastases from malignant tumors, with metastatic epidural spinal cord compression occurring in about 10% of patients with spinal metastases. Palliative radiotherapy and simple laminectomy and decompression have been the main treatments for metastatic spinal cord compression. The former is ineffective and delayed for radiation-insensitive tumors, and the latter often impairs spinal stability. With the continuous improvement of surgical techniques and instrumentation in recent years, the treatment model of spinal metastases has changed a lot. Decompression surgery underwent open decompression, separation surgery, minimally invasive surgery and laser interintermal thermal ablation decompression. However, no matter what kind of surgical plan is adopted, it should be assessed precisely according to the specific situation of the patient to minimize the risk of surgery as far as possible to ensure the smooth follow-up radiotherapy. This paper reviews the research progress of decompression for spinal metastases.