Application of a supporting catheter in surgery for forearm arteriovenous fistula construction.

INTRODUCTION: This study explored the feasibility of a supporting catheter combined with modified end-to-side anastomosis in the operation of radio-cephalic arteriovenous fistula (RC-AVF) and evaluated the clinical application value of this technique. METHODS: Sixty patients underwent RC-AVF operations in our hospital from January 2022 to June 2022. All the patients were treated with modified end-to-side AVF anastomosis and divided into the control group or the test group depending on whether a supporting catheter was applied. The clinical data of 60 cases were analysed retrospectively. Intraoperative related indices, the first time the fistula was used, the success rate of first puncture, the blood flow of first dialysis, the maturity condition of fistula, the size of anastomosis, the diameter of radial artery and drainage vein, the blood flow of brachial artery 8 weeks after operation and the incidence of complications within 6 months after operation were compared between the two groups. RESULTS: Compared with that in the control group, the time spent on the vascular anastomosis in the test group was significantly shortened (p<0.05). The blood flow of the first dialysis, the size of the anastomosis, the diameter of the drainage vein, the blood flow of the brachial artery 8 weeks after the operation and the incidence of complications within 6 months after operation were significantly different between the two groups (p<0.05). CONCLUSION: In the RC-AVF operation, using a supporting catheter can not only increase operation efficiency by reducing surgical injury and difficulty of vascular anastomosis, but also improve postoperative prognosis. RC-AVF is worth promoting in clinical practice.

The prediction of the survival in patients with severe trauma during prehospital care: Analyses based on NTDB database.

PURPOSE: Traumas cause great casualties, accompanied by heavy economic burdens every year. The study aimed to use ML (machine learning) survival algorithms for predicting the 8-and 24-hour survival of severe traumas. METHODS: A retrospective study using data from National Trauma Data Bank (NTDB) was conducted. Four ML survival algorithms including survival tree (ST), random forest for survival (RFS) and gradient boosting machine (GBM), together with a Cox proportional hazard model (Cox), were utilized to develop the survival prediction models. Following this, model performance was determined by the comparison of the C-index, integrated Brier score (IBS) and calibration curves in the test datasets. RESULTS: A total of 191,240 individuals diagnosed with severe trauma between 2015 and 2018 were identified. Glasgow Coma Scale (GCS), trauma type, age, SaO2, respiratory rate (RR), systolic blood pressure (SBP), EMS transport time, EMS on-scene time, pulse, and EMS response time were identified as the main predictors. For predicting the 8-hour survival with the complete cases, the C-indexes in the test sets were 0.853 (0.845, 0.861), 0.823 (0.812, 0.834), 0.871 (0.862, 0.879) and 0.857 (0.849, 0.865) for Cox, ST, RFS and GBM, respectively. Similar results were observed in the 24-hour survival prediction models. The prediction error curves based on IBS also showed a similar pattern for these models. Additionally, a free web-based calculator was developed for potential clinical use. CONCLUSION: The RFS survival algorithms provide non-parametric alternatives to other regression models to be of clinical use for estimating the survival probability of severe trauma patients.

Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

Hierarchical classification offers a more specific categorization of data and breaks down large classification problems into subproblems, providing improved prediction accuracy and predictive power for undefined categories, while also mitigating the impact of poor-quality data. Despite these advantages, its application in predicting primary cancer is rare. To leverage the similarity of cancers and the specificity of methylation patterns among them, we developed the Cancer Hierarchy Classification Tool (CHCT) using the idea of hierarchical classification, with methylation data from 30 cancer types and 8239 methylome samples downloaded from publicly available databases (The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO)). We used unsupervised clustering to divide the classification subproblems and screened differentially methylated sites using Analysis of variance (ANOVA) test, Tukey-kramer test, and Boruta algorithms to construct models for each classifier module. After validation, CHCT accurately classified 1568 out of 1660 cases in the test set, with an average accuracy of 94.46%. We further curated an independent validation cohort of 677 cancer samples from GEO and assigned a diagnosis using CHCT, which showed high diagnostic potential with generally high accuracies (an average accuracy of 91.40%). Moreover, CHCT demonstrates predictive capability for additional cancer types beyond its original classifier scope as demonstrated in the medulloblastoma and pituitary tumor datasets. In summary, CHCT can hierarchically classify primary cancer by methylation profile, by splitting a large-scale classification of 30 cancer types into ten smaller classification problems. These results indicate that cancer hierarchical classification has the potential to be an accurate and robust cancer classification method.

Treating Hand High-voltage Electrical Burn by Combination of Radial Artery Perforator Flap, Artificial Dermis, and Vacuum Sealing Drainage.

Severe high-voltage electrical burns (HVEBs) to the hand can result in significant injuries, requiring early use of skin flaps or grafts for reconstruction to optimize hand function recovery. However, there is currently a lack of consensus on strategies to improve aesthetics and hand function. We reported a case of severe HVEB on the left hand that was successfully treated by a radial artery perforator flap assisted by artificial dermis (AD) and vacuum sealing drainage (VSD). In phase I, necrotic tissue was removed through debridement while preserving parabiotic tissue. The left thumb was fixed with a Kirschner wire, and the wound was covered with AD and VSD. After 2 weeks, phase II repair surgery was performed using a radial artery perforator flap to cover the wound surface. At 2 weeks after surgery, the skin flap showed good tension and no blood circulation disorders or blister formation. At 12 months after surgery, the flap had not shrunk, and its texture and color closely resembled the surrounding normal tissues. The flap also demonstrated resistance to friction, and there was nearly normal wrist joint mobility. The use of a radial artery perforator flap assisted by AD and VSD provides a simple and effective reconstruction method that preserves important vessels in the forearm, minimizes damage to local cutaneous nerves, and eliminates the need for vascular anastomosis. Therefore, this technique offers advantages in terms of aesthetics and functional improvement for severe HVEBs to the hand, although it has been rarely reported before.

Comparation between novel online models and the AJCC 8th TNM staging system in predicting cancer-specific and overall survival of small cell lung cancer.

Background: Most of previous studies on predictive models for patients with small cell lung cancer (SCLC) were single institutional studies or showed relatively low Harrell concordance index (C-index) values. To build an optimal nomogram, we collected clinicopathological characteristics of SCLC patients from Surveillance, Epidemiology, and End Results (SEER) database. Methods: 24,055 samples with SCLC from 2010 to 2016 in the SEER database were analyzed. The samples were grouped into derivation cohort (n=20,075) and external validation cohort (n=3,980) based on America's different geographic regions. Cox regression analyses were used to construct nomograms predicting cancer-specific survival (CSS) and overall survival (OS) using derivation cohort. The nomograms were internally validated by bootstrapping technique and externally validated by calibration plots. C-index was computed to compare the accuracy and discrimination power of our nomograms with the 8th of version AJCC TNM staging system and nomograms built in previous studies. Decision curve analysis (DCA) was applied to explore whether the nomograms had better clinical efficiency than the 8th version of AJCC TNM staging system. Results: Age, sex, race, marital status, primary site, differentiation, T classification, N classification, M classification, surgical type, lymph node ratio, radiotherapy, and chemotherapy were chosen as predictors of CSS and OS for SCLC by stepwise multivariable regression and were put into the nomograms. Internal and external validations confirmed the nomograms were accurate in prediction. C-indexes of the nomograms were relatively satisfactory in derivation cohort (CSS: 0.761, OS: 0.761) and external validation cohort (CSS: 0.764, OS: 0.764). The accuracy of the nomograms was superior to that of nomograms built in previous studies. DCA showed the nomograms conferred better clinical efficiency than 8th version of TNM staging system. Conclusions: We developed practical nomograms for CSS (https://guowei2020.shinyapps.io/DynNom-CSS-SCLC/) and OS (https://drboidedwater.shinyapps.io/DynNom-OS-SCLC/) prediction of SCLC patients which may facilitate clinicians in individualized therapeutics.

[Predictive value of PTH level on day 1 after surgery for papillary thyroid carcinoma in patients with permanent hypoparathyroidism].

Objective:To investigate the relationship between parathyroid hormone（PTH） level and permanent hypoparathyroidism（PHPP） on the first day after radical papillary thyroidectomy, and its predictive value. Methods:A total of 80 patients with papillary thyroid cancer who underwent total thyroid resection and central lymph node dissection were collected and analyzed from January 2021 to January 2022. According to whether PHPP occurred after surgery, the patients were divided into hypoparathyroidism group and normal parathyroid function group, and univariate and binary logistics regression were used to analyze the correlation between PTH and serum calcium levels and PHPP on the first day after surgery in two groups. The dynamic changes of PTH at different time points after operation were analyzed. The area under the receiver operating characteristic was used to evaluate the predictive power of PTH on the development of PHPP after surgery. Results:Among the 80 patients with papillary thyroid cancer, 10 cases developed PHPP, with an incidence rate of 12.5%. Binary logistics regression analysis showed that PTH on the first postoperative day（OR=14.534, 95%CI: 2.377-88.858, P=0.004） was an independent predictive risk factor for postoperative PHPP. Taking PTH=8.75 ng/L on the first postoperative day as the cut-off value, the AUC of the area under the curve was 0.874（95%CI: 0.790-0.958, P<0.001）, the sensitivity was 71.4%, the specificity was 100%, and the Yoden index was 0.714. Conclusion:PTH level on the first day after total thyroid papillary carcinoma surgery is closely related to PHPP, and is an independent predictor of PHPP.

Construction and validation of nomograms based on the log odds of positive lymph nodes to predict the prognosis of lung neuroendocrine tumors.

Background: This research aimed to investigate the predictive performance of log odds of positive lymph nodes (LODDS) for the long-term prognosis of patients with node-positive lung neuroendocrine tumors (LNETs). Methods: We collected 506 eligible patients with resected N1/N2 classification LNETs from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The study cohort was split into derivation cohort (n=300) and external validation cohort (n=206) based on different geographic regions. Nomograms were constructed based on the derivation cohort and validated using the external validation cohort to predict the 1-, 3-, and 5-year cancer-specific survival (CSS) and overall survival (OS) of patients with LNETs. The accuracy and clinical practicability of nomograms were tested by Harrell's concordance index (C-index), integrated discrimination improvement (IDI), net reclassification improvement (NRI), calibration plots, and decision curve analyses. Results: The Cox proportional-hazards model showed the high LODDS group (-0.79≤LODDS) had significantly higher mortality compared to those in the low LODDS group (LODDS<-0.79) for both CSS and OS. In addition, age at diagnosis, sex, histotype, type of surgery, radiotherapy, and chemotherapy were also chosen as predictors in Cox regression analyses using stepwise Akaike information criterion method and included in the nomograms. The values of C-index, NRI, and IDI proved that the established nomograms were better than the conventional eighth edition of the TNM staging system. The calibration plots for predictions of the 1-, 3-, and 5-year CSS/OS were in excellent agreement. Decision curve analyses showed that the nomograms had value in terms of clinical application. Conclusions: We created visualized nomograms for CSS and OS of LNET patients, facilitating clinicians to bring individually tailored risk assessment and therapy.

A comparative study on in vitro and in vivo characteristics of enzalutamide nanocrystals versus amorphous solid dispersions and a better prediction for bioavailability based on "spring-parachute" model.

This study systematically compared enzalutamide (ENZ) nanocrystals and amorphous formulation (Xtandi® Tablets) and proposed an effective method for predicting pharmacokinetic behavior. ENZ nanosuspensions were prepared by anti-solvent precipitation (ENZ/NS-AS) and wet milling (ENZ/NS-WM) under optimal conditions and were solidified by spray drying and further tableting. Spray dried ENZ/NS-WM was confirmed to exist in crystalline state by DSC and PXRD, while spray dried ENZ/NS-AS was amorphous form. The dissolution testing revealed that ENZ/NS-WM tablets exhibited significantly faster dissolution rate than the physical mixture of untreated ENZ and HPMCAS-HG (1:1) prepared by gently grinding with a mortar and pestle for 2 min and were comparable to Xtandi® Tablets. However, the pharmacokinetic study in beagle dogs indicated that ENZ/NS-WM tablets displayed 0.43-fold lower Cmax and area under the curve from 0 d to 14 d (AUC0-14 d) than Xtandi® Tablets. This difference was well explained by the "spring-parachute" testing, where ENZ/NS-WM tablets exhibited a worse supersaturation performance with 0.46-fold lower supersaturated level (Cspring) and 0.42-fold lower area under the curve of "spring-parachute" process in pH6.8 (AUSPC2-24h) compared to Xtandi® Tablets, indicating that Cspring and AUSPC2-24h obtained from "spring-parachute" testing were better indicators for predicting in vivo behavior than the dissolution rate. Overall, despite the fact that the current nanocrystal formulation did not exhibit advantageous bioavailability, the study provided valuable information and direction for oral drug delivery system based on nano-technology.

The effect of granules characters on mechanical properties of press-coated tablets: A comparative study.

The aim of this study was to investigate the correlation between critical granules characters (including particle size, surface roughness, and apparent porosity) and mechanical properties of press-coated tablets. Granules of a model formulation were prepared through Roll Compaction Granulation (RCG), High Shear Granulation (HSG), and Fluidized Bed Granulation (FBG) to prepare granules with different surface roughness and apparent porosity. The surface roughness and porosity of granules had a significantly greater effect on mechanical properties than the particle size of granules. Whether for brittle or plastic materials, FBG granules with the roughest surface and the greatest apparent porosity exhibited the best compression properties. The elastic recovery test, the interlayer adhesion forces study, the break pattern test, and the X-ray microcomputed tomography investigation suggested that granules with great apparent porosity and rough surfaces could contribute to the production of stable press-coated structures. Moreover, for press-coated tablets prepared using granules, the proper granules in the coat layer could eliminate the side effect of the rigid core on the mechanical strength. The above understandings will be conducive to the selection of compatible and appropriate granules characters, which can enhance mechanical properties and extend the application of press-coated tablets.

Visible and near-infrared luminescence properties of Nd3+/Yb3+ co-doped Gd2O3 phosphors for highly sensitive optical thermometry.

Phosphors with rare earth (RE) ions are widely applied to optical temperature measurements. Moreover, the near-infrared (NIR) emission of phosphors has potential applications in the biological field. Herein, Gd2O3:x%Nd3+/Yb3+(0.2 ≤ x ≤ 0.8) samples are successfully synthesized by the sol-gel method, and their phase and morphology are characterized. The XRD data are refined by Rietveld. Under 980 nm continuous wave (CW) laser excitation, the upconversion (UC) and downshift (DS) emissions are studied. The temperature sensing performances of thermally coupled levels (TCLs) and non-thermally coupled levels (non-TCLs) of Gd2O3: Nd3+/Yb3+ phosphors are investigated through the fluorescence intensity ratio (FIR) technology. In the temperature range of 303-523 K, the maximum relative sensitivity of I761 nm/I550 nm reaches 6.54% K-1, which is based on non-TCLs. At the same time, the maximum relative sensitivity of I761 nm/I1000 nm-1500 nm reaches 3.13%. In addition, the influence of the laser induced heating (LIH) effect is studied. Compared with square wave (SW) pumping, the relative sensitivity would decrease at CW excitation. Finally, the durability and temperature uncertainty are also discussed. The results prove that the Gd2O3:Nd3+/Yb3+ samples present higher relative sensitivity and durability and lower temperature uncertainty in the biological window. Therefore, the phosphors can be used as optical thermometers in the biological field.