Efficacy and safety of 3D printing-assisted percutaneous nephrolithotomy in complex renal calculi

This study evaluated the efficacy and safety of 3D printing technology combined with percutaneous nephrolithotomy in the treatment of complex renal calculi. Ninety patients with complex renal calculi were randomly divided into a 3D printing group (45 patients) and a control group (45 patients). In the 3D printing group, a patient-specific 1:1 3D printing model was established based on the patient's thin-layer CT scanning data. A 3D printing model was used for preoperative communication between doctors and patients. Preoperative puncture training, channel design, residual stone prediction, and percutaneous nephrolithotomy were performed under the guidance of a 3D printing model and B-ultrasound. The control group was treated with the conventional B-ultrasound-guided puncture method. Results suggest that there was a statistically significant difference between the two groups (P < 0.05). The overall score of the doctor-patient communication objects in the 3D printing group was 19.32 ± 1.57 points, and in the control group, it was 14.51 ± 2.13 points. The operation time of the 3D printing group was 103.21 ± 13.49 min, and that of the control group was 126.12 ± 25.87 min. The calculi clearance rate of the 3D printing group was 96%, while that of the control group was 80%. The incidence of postoperative complications was 6.67% in the 3D printing group and 22.22% in the control group. Compared with traditional percutaneous nephrolithotomy, 3D printing technology combined with percutaneous nephrolithotomy can significantly enhance the effectiveness of doctor–patient communication, shorten operation time, reduce operation bleeding, improve the stone clearance rate, reduce the incidence of complications and shorten the length of hospital stay. The proposed method is thus a safe and effective method to treat complex renal calculi.

Examining Type 1 Diabetes Mathematical Models Using Experimental Data

Type 1 diabetes requires treatment with insulin injections and monitoring glucose levels in affected individuals. We explored the utility of two mathematical models in predicting glucose concentration levels in type 1 diabetic mice and determined disease pathways. We adapted two mathematical models, one with β-cells and the other with no β-cell component to determine their capability in predicting glucose concentration and determine type 1 diabetes pathways using published glucose concentration data for four groups of experimental mice. The groups of mice were numbered Mice Group 1–4, depending on the diabetes severity of each group, with severity increasing from group 1–4. A Markov Chain Monte Carlo method based on a Bayesian framework was used to fit the model to determine the best model structure. Akaike information criteria (AIC) and Bayesian information criteria (BIC) approaches were used to assess the best model structure for type 1 diabetes. In fitting the model with no β-cells to glucose level data, we varied insulin absorption rate and insulin clearance rate. However, the model with β-cells required more parameters to match the data and we fitted the β-cell glucose tolerance factor, whole body insulin clearance rate, glucose production rate, and glucose clearance rate. Fitting the models to the blood glucose concentration level gave the least difference in AIC of 1.2, and a difference in BIC of 0.12 for Mice Group 4. The estimated AIC and BIC values were highest for Mice Group 1 than all other mice groups. The models gave substantial differences in AIC and BIC values for Mice Groups 1–3 ranging from 2.10 to 4.05. Our results suggest that the model without β-cells provides a more suitable structure for modelling type 1 diabetes and predicting blood glucose concentration for hypoglycaemic episodes.

Assessment of carbamazepine acute toxicity in the cockle Cerastoderma edule through chemical, physiological and biochemical tools

The cockle Cerastoderma edule was exposed to four concentrations (5, 10, 20 and 70 μg L-1) of carbamazepine (CBZ). This anticonvulsant was found to alter the mussel behavior of by reducing its clearance rate (CR). Analysis of CBZ accumulation in tissues of C. edule was carried out using HPLC-UV after 48 or 96 hours of exposure. In addition, an overproduction of H2O2 by the bivalves was detected following exposure to CBZ but nitrite levels remained unchanged. Moreover, superoxide dismutase and catalase activities showed a significant increase in relation to their contact with CBZ. The activity of the biotransformation enzyme gluthatione-S-transferase did not change during exposure. Malondialdehyde (MDA) levels indicating cellular damage, increased when bivalves were exposed to 20 and 70 μg l-1 of carbamazepine for 96 h CBZ. The results also indicate that acetylcholinesterase activity (AChE) was inhibited in all CBZ concentrations during the 48 h exposure period. However, during the 96 h exposure period, AChE was only inhibited at the highest concentration. Further studies are needed now for more exploration of the toxicity of CBZ since it could be bioaccumulable throughout the food web and may affect non-target organisms.

Bioaccumulation of Pyraoxystrobin and Its Predictive Evaluation in Zebrafish

This paper aims to understand the bioaccumulation of pyraoxystrobin in fish. Using a flow-through bioconcentration method, the bioconcentration factor (BCF) and clearance rate of pyraoxystrobin in zebrafish were measured. The measured BCF values were then compared to those estimated from three commonly used predication models. At the exposure concentrations of 0.1 μg/L and 1.0 μg/L, the maximum BCF values for pyraoxystrobin in fish were 820.8 and 265.9, and the absorption rate constants (K1) were 391.0 d−1 and 153.2 d−1, respectively. The maximum enrichment occurred at 12 d of exposure. At the two test concentrations, the clearance rate constant (K2) in zebrafish was 0.5795 and 0.4721, and the half-life (t1/2) was 3.84 d and 3.33 d, respectively. The measured BCF values were close to those estimated from bioconcentration predication models.

Criminalistic characteristic of the offenders committing crimes related to the violation of the regulations governing aquatic biological resources

The article examines the criminalistic characteristic of the offenders committing crimes related to the violation of the regulations governing aquatic biological resources. The author forwards a hypothesis that the understanding of the personality of the environmental criminals affects the clearance rate of this type of crimes, therefore, summing up the general data, it is possible to derive a portrait of a criminal, relying on a certain model typical for all criminals of a given category, taking into account three aspects - generalized, group and individual. Based on the study, the author concludes that persons who breach protection of aquatic biological resources regulations are not typical, although they have common features that make it possible to classify the offender as a specific type of criminals and they are characterized by the inherent features of random criminals (first-time offenders as a result of coincidence), as well as unstable criminals (first-time offenders regularly evading social norms and previously committed offenses). The author’s analysis of the judicial and investigative practice of violations of aquatic biological resources regulations shows that, as a rule, a person commits crimes without planning them in advance. A guilty person decides to commit a misconduct already in the process of his activity, which is due to the relevant conditions: lack of proper control by supervisory authorities, lack of knowledge of the operational situation at the current time, the need to shorten the time frame for the accomplishment of the work, the use of equipment in production that does not meet modern safety and environment requirements, etc. The practical significance of the study lies in the possibility of applying knowledge about the personality typology of the subjects of violation of aquatic biological resources regulations in the preventive activities of the state bodies, in order not only to combat these violations, but also to prevent them.

Clinical Efficacy and Safety of Neuroendoscopic Surgery for Severe Ventricular Thalamic Hemorrhage

Objective To summarize and analyze the clinical efficacy and safety of neuroendoscopic surgery in the treatment of patients with severe ventricular thalamic hemorrhage. Methods Eight-three patients with severe ventricular thalamic hemorrhage were treated in the Neurosurgery Department of Anqing Hospital Affiliated to Anhui Medical University from July 2019 to August 2021. Of the 83 patients, 41 underwent neuroendoscopic surgery and 42 underwent simple extraventricular drainage. The hospital stay, GCS scores on the 1st and 14th days postoperatively, the incidence of intracranial infections, and the clearance of postoperative hematomas were compared and analyzed between the two groups. The patients were followed up to 6 months. The prognosis was evaluated by the activity of daily living (ADL) score. A head CT or MRI was obtained to determine whether there was hydrocephalus, cerebral infarction, or other related complications. Results The postoperative hospital stay was 17.42±1.53 days, the GCS score was 6.56±0.21 points on day 1 and 10.83±0.36 points on day 14, intracranial infections occurred in three patients (7.31%) and the hematoma clearance rate was 83.6±5.18% in the neuroendoscopy group, all of which were significantly better than the simple extraventricular drainage group (P < 0.05). After 6 months of follow-up, 28 patients (68.29%) had a good prognosis, 5 patients (12.19%) died, and 4 patients(9.75%)had hydrocephalus in the neuroendoscopy group. In the extraventricular drainage group, the prognosis was good in 15 patients (35.71%), death in 12 patients (28.57%), and hydrocephalus in 17 patients (40.47%). The follow-up results showed that the good prognosis, mortality, and incidence of hydrocephalus in the neuroendoscopy group were significantly better than the extraventricular drainage group (P < 0.05). Conclusion Compared with traditional ventricular-puncture drainage, simultaneous endoscopic sinus surgery for severe ventricular thalamic hemorrhage had a higher hematoma clearance rate, fewer intracranial infections, and hydrocephalus, which together improve the clinical prognosis, and is thus recommended for clinical use.

Intraventricular hemorrhage clot clearance rate as an outcome predictor in patients with aneurysmal subarachnoid hemorrhage: A retrospective study

Background The development of intraventricular hemorrhage (IVH) in aneurysmal subarachnoid hemorrhage (aSAH) is linked with higher mortality and poor neurological recovery. Previous studies have investigated the effect of the amount and distribution of the initial IVH on the prognosis of aSAH. However, no studies have assessed the relationship between the changes in IVH over time and the prognosis of aSAH. The aim of this study was to analyze the effect of the clearance rate of IVH, which can be represented by the IVH clot clearance rate (CCR), on the outcomes of aSAH. Methods The IVH CCR was calculated based on the difference between the initial and follow-up modified Graeb scores (mGS), which were assessed by initial and 7-day follow-up brain computed tomography, respectively. Poor functional outcome was defined as a modified Rankin Scale score of 3-6. Univariate and multivariable analyses were performed to assess the relationships between IVH CCR and other risk factors and the prognosis of patients. Receiver operating characteristic curve analysis was performed to identify cut-off values of IVH CCR for predicting poor functional outcome. Results In total, 196 consecutive patients were diagnosed with aSAH between January 2014 and March 2018. According to the inclusion and exclusion criteria, 67 patients were finally included in the study. The univariate analysis revealed that a lower IVH CCR (p<0.001), higher initial mGS (p<0.001), older age (p<0.001), higher initial Hunt and Hess grade (p<0.001), presence of delayed infarction (p=0.03), and presence of shunt-dependent hydrocephalus (p=0.004) were significantly related to poor functional outcome. The multivariable analysis revealed that IVH CCR (odds ratio [OR] 0.941; p=0.029), initial mGS (OR 1.632; p=0.043), age (OR 1.561; p=0.007), initial Hunt and Hess grade (OR 227.296; p=0.030), and delayed infarction (OR 5310.632; p=0.023) were independent predictors of poor functional outcome. Optimal cut-off values of IVH CCR and mGS for poor outcome were 36.27%, and 13.5, respectively (all p< 0.001). Conclusions The IVH CCR might have an important predictive value on poor functional outcome in patients with aSAH and IVH, along with initial mGS, age, initial Hunt and Hess grade, and delayed infarction.

Comparison of stone clearance rate in patients with distal ureteric stones, undergoing URS with and without a safety guide wire.

Objective: To compare stone clearance rate in patients with distal ureteric stones, undergoing URS with safety guide wire and without safety guide wire. Study Design: Randomized Clinical Trial study. Setting: Department of Urology, Pir Abdul Qadir Shah Institute of Medical sciences. Period: January, 2020 to December 2020. Material & Methods: The study patients fulfilling the inclusion criteria were divided into two groups using the lottery method. Group A: Patients underwent URS with insertion of safety guidewire (SGW). Group B: These patients underwent URS without safety guidewire (SGW). Patients in both groups were compared for stone clearance. Results: Mean age in Group A was 37.79±12.44 years and in Group B were 33.31±11.48 years. Group wise distribution of gender showed 79 (73.83%) male and 28 (26.17%) females in Group A and 70(65.42%) male and 37 female (34.57%) in Group B. In comparison of both groups, 65.42% stone clearance was noted in Group A while 78.50% stone clearance was found in Group B and p-value found to be significant (P=0.033). Conclusion: Our study concluded that stone clearance in patients with distal ureteral stones undergoing URS without SGW is higher in comparison to URS with SGW, without any added advantage.

Design and Development of a Computational Tool for a Dialyzer by Using Computational Fluid Dynamic (CFD) Model

In order to reduce the hemodialysis cost and duration, an investigation of the effect of dialyzer design and process variables on the solute clearance rate is required. It is not easy to translate the in vivo transfer process with in vitro experiments, as it involves a high cost to produce various designs and membranes for the dialyzer. The primary objective of this study was the design and development of a computational tool for a dialyzer by using a computational fluid dynamic (CFD) model. Due to their complexity, only researchers with expertise in computational analysis can use dialyzer models. Therefore, COMSOL Inc. (Stockholm, Sweden) has made an application on membrane dialysis to study the impact of different design and process parameters on dialyzed liquid concentration. Still, membrane mathematical modeling is not considered in this application. This void hinders an investigation of the impact of membrane characteristics on the solute clearance rate. This study has developed a stand-alone computational tool in COMSOL Multiphysics 5.4 to fill this void. A review of the literature conducted shows that there are no suitable stand-alone computational tools for kidney dialysis. Very little work has been undertaken to validate the stand-alone computational tool. Medical staff in the hospitals require a computational tool that can be installed quickly and provide results with limited knowledge of dialysis. This work aims to construct a user-friendly computational tool to solve this problem. The development of a user-friendly stand-alone computational tool for the dialyzer is described thoroughly. This application simulates a mathematical model with the Finite Element Method using the COMSOL Multiphysics solver. The software tool is converted to a stand-alone version with the COMSOL compiler. The stand-alone computational tool provides the clearance rate of six different toxins and module packing density. Compared with the previous application, the stand-alone computational tool of membrane dialysis enables the user to investigate the impact of membrane characteristics and process parameters on the clearance rate of different solutes. The results are also inconsistent with the literature data, and the differences ranges are 0.09–6.35% and 0.22–2.63% for urea clearance rate and glucose clearance rate, respectively. Statistical analysis of the results is presented as mean with 95% confidence intervals (CIs) and p values 0.9472 and 0.833 of the urea and glucose clearance rates, respectively.