Technology and Health Care最新文献

Background: Current treatments do not support direct exposure of fracture fragments, resulting in the inability to directly observe the articular surface during surgery for accurate reduction and firm fixation.

Objective: The aim of the study was to explore the treatment effect of digital virtual reduction combined with individualized guide plate of lateral tibial condyle osteotomy on tibial plateau fracture involving the lateral posterior condyle collapse.

Methods: 41 patients with tibial plateau fracture involving the lateral posterior condyle collapse were recruited in the trial. All patients underwent Computed Tomography (CT) scanning before operation. After operation, fracture reduction was evaluated using Rasmussen score and function of knee joint was assessed using hospital for special surgery (HSS) score.

Results: 41 patients were followed-up 6-26 months (mean, 15.2 months). Fracture reduction was good after operation, with an average of 13.3 weeks of fracture healing without serious complications. The excellent and good rate was 97.6%. The joint movement degree was -5∘∼0∘∼135∘ with an average of 125.5∘.

Conclusions: Digital virtual reduction combined with individualized guide plate of lateral tibial condyle osteotomy was effectively for treating tibial plateau fracture involving the lateral posterior condyle collapse.

Background: NiaoDuQing Particle is the first Chinese herbal medicine approved by the China Food and Drug Administration for the treatment of chronic kidney disease. It has been used in clinical practice in China for over twenty years. However, there is limited literature reporting on the long-term therapeutic effects of NiaoDuQing Particles on chronic kidney disease patients.

Objective: This research aimed to comprehensively assess the therapeutic effect of NiaoDuQing Particles (NDQP) on chronic kidney disease patients based on clinical data analysis.

Methods: This study was carried out on a total of 148 participants diagnosed with different types of chronic kidney disease. Demographics information, chronic kidney disease classification and chronic kidney disease diganostic indicators were collected and analyzed before and after NiaoDuQing Particles treatment for 3, 6, 9, 12 and 18 months respectively.

Results: In all 148 patients, mean eGFR value was increased after NiaoDuQing Particles treatment for up to 18 months, and was statistically significant at month 3, 6, 9, 12 and 18 (P< 0.05). Mean uric acid value was decreased after NiaoDuQing Particles treatment for up to 18 months, and was statistically significant at month 3, 6, 9, 12 and 18 (P< 0.05). Mean urea nitrogen value was decreased after NiaoDuQing Particles treatment for up to 18 months and was statistically significant at month 3, 6, 9, 12 and 18 (P< 0.05). While mean creatinine value was decreased after NiaoDuQing Particles treatment for up to 18 months and was statistically significant at month 6 (P< 0.05).

Conclusions: NiaoDuQing Particles could maintain the stable state of chronic kidney disease patients for up to 18 months especially in improving diagnostic indicators like eGFR, uric acid and urea nitrogen.

Background: The present study investigated the association between cerebrovascular diseases and sepsis, including its occurrence, progression, and impact on mortality. However, there is currently a lack of predictive models for 28-day mortality in patients with cerebrovascular disease associated with sepsis.

Objective: The objective of this study is to examine the mortality rate within 28 days after discharge in this population, while concurrently developing a corresponding predictive model.

Methods: The data for this retrospective cohort study were obtained from the MIMIC-IV database. Patients with sepsis and cerebrovascular disease in the ICU were included. Laboratory indicators, vital signs, and demographic data were collected within 24 hours of ICU admission. Mortality rates within 28 days after discharge were calculated based on patient death times. Logistic regression analysis was used to identify potential variables for a predictive model. A nomogram visualized the prediction model. The performance of the model was evaluated using ROC curves, Calibration plots, and DCA.

Results: The study enrolled a total of 2660 patients diagnosed with cerebrovascular disease complicated by sepsis, consisting of 1434 males (53.91%) with a median age of 70.97 (59.60, 80.73). Among this cohort of patients, a total of 751 fatalities occurred within 28 days following discharge. The multivariate regression analysis revealed that age, creatinine, arterial oxygen partial pressure (Pa O2), arterial carbon dioxide partial pressure (Pa CO2), respiratory rate, white blood cell (WBC) count, Body Mass Index (BMI), and race demonstrated potential predictive variables. The aforementioned model yielded an area under the ROC curve of 0.744, accompanied by a sensitivity of 66.2% and specificity of 71.2%. Furthermore, both calibration plots and DCA demonstrated robust performance in practical applications.

Conclusion: The proposed prediction model allows clinicians to promptly assess the mortality risk in patients with cerebrovascular disease complicated by sepsis within 28 days after discharge, facilitating early intervention strategies. Consequently, clinicians can implement additional advantageous medical interventions for individuals with cerebrovascular disease and sepsis.

Background: Diabetes, which is associated with cardiovascular disease and related microvascular complications, affects life expectancy and decrease quality of life. A trial reports that the risk of patients with diabetes having cardiovascular disease is 2-4 times compared with that in patients without diabetes.

Objective: This study aims to investigate the relationship between depth of general anesthesia in patients with diabetes mellitus.

Methods: This clinical study totally includes 40 patients with diabetes mellitus, and these patients are divided into following two groups: diabetes mellitus deep anesthesia group and diabetes mellitus light anesthesia group, and then these patients receive general anesthesia combined with laparoscopic surgery. Preoperative patient general data and intraoperative patient general data are collected and analyzed. Calcitonin gene-related peptide (CGRP) and substance P (SP) level are determined by Enzyme-linked immunosorbent assay (ELISA).

Results: This study included a total of 40 patients. There were no significant differences in demographic and preoperative patient general data between the two groups. Measurements were taken for operative time, anesthesia time, recovery time after drug withdrawal, dwell time in the recovery room, intraoperative fluid volume, intraoperative blood loss, and intraoperative urine output between the two groups. Significant differences were observed in the recovery time after drug withdrawal between the two groups. CGRP and SP level in diabetes mellitus deep anesthesia group are evidently more than those in diabetes mellitus light anesthesia group.

Conclusions: CGRP and SP level are involved in the diabetes mellitus and up-regulated CGRP and SP can prevent the development of diabetes mellitus. Our study extends the existing literature by addressing a gap in knowledge regarding the impact of anesthesia depth on neuropeptide levels in diabetes mellitus patients. By delineating this relationship, we aim to contribute to the advancement of perioperative care practices and ultimately improve outcomes for individuals with diabetes undergoing surgical procedures. Our study's findings provide valuable insights into the complex interactions between anesthesia, neuropeptides, and diabetes mellitus, offering the potential for personalized perioperative care, enhanced pain management, and improved surgical outcomes. These implications highlight the clinical relevance of our research and its potential to inform future advancements in perioperative care for diabetic patients undergoing surgery.

Background: Fondaparinux sodium can prevent and treat acute illnesses and venous thromboembolism in patients undergoing surgery. At present, no studies have reported on treating subchorionic hematoma combined with protein S deficiency using fondaparinux sodium.

Objective: To investigate the clinical efficacy of fondaparinux sodium in the treatment of patients with subchorionic hematoma combined with protein S deficiency.

Methods: This single-center, open-ended, and prospective study enrolled 78 patients with subchorionic hematoma and protein S deficiency. They were randomly assigned to the treatment and control groups. The control group received conventional treatment, and the observation group received subepithelial injections of fondaparinux sodium (2.5 mg/day) based on conventional treatment. After 30 days of continuous treatment, the hematoma was evaluated by ultrasonography.

Results: After treatment with fondaparinux sodium, a significant improvement in subchorionic hematoma was observed in the observation group compared with that in the control group (p< 0.05). A substantial improvement in prothrombin time and activated partial thromboplastin time was observed in the observation group after fondaparinux sodium treatment (p< 0.05). Furthermore, after fondaparinux sodium treatment, the duration of hematoma maintenance and incidence of adverse pregnancy outcomes were significantly reduced in the observation group compared with that in the control group (p< 0.05).

Conclusion: With a favorable safety profile, fondaparinux sodium is effective in treating subchorionic hematoma combined with protein S deficiency. The results provide new ideas and methods for treating this disease, which is worthy of further promotion and application in clinical practice.

Background: Accurate sentinel lymph node (SLN) characterization is essential for breast cancer management, prompting advancements in imaging technologies such as contrast-enhanced ultrasound (CEUS) and sound touch quantification (STQ) to enhance diagnostic precision.

Objective: To explore the value of perfusion characteristics evaluated by CEUS combined with STQ parameters in diagnosing the properties of sentinel lymph node (SLN) in breast cancer.

Methods: A total of 91 breast cancer patients (91 SLNs) admitted to the hospital from February 2022 to December 2023 were selected for this study. Among them, 26 patients with metastatic SLN confirmed by surgery and pathology were included in the metastatic SLN group, and 65 patients with non-metastatic SLN were included in the non-metastatic SLN group. Preoperative examination results of CEUS and STQ were retrospectively analyzed. The diagnostic efficacy of perfusion characteristics evaluated by CEUS and STQ parameters for the properties of SLN in breast cancer was analyzed using the receiver operating characteristics (ROC) curve. Statistical methods such as chi-square tests and logistic regression analysis were employed to analyze the data.

Results: Enhancement patterns differed significantly between the metastatic SLN and non-metastatic SLN groups (p< 0.05). ROC curve analysis indicated that CEUS perfusion characteristics had an AUC value of 0.823 for diagnosing SLN properties, with a sensitivity of 84.62% and specificity of 70.77% using type I as the critical value. Additionally, STQ measurement showed significantly higher values in the metastatic SLN group (44.18 ± 6.53 kPa) compared to the non-metastatic SLN group (34.69 ± 6.81 kPa) (t= 6.075, p< 0.001). The AUC value for STQ parameters in diagnosing metastatic SLN was 0.849, with a sensitivity of 73.08% and specificity of 92.31% using 42.40 kPa as the critical value. Though the AUC value of STQ measurement was higher than CEUS perfusion characteristics alone, the difference was not statistically significant (Z= 0.393, p= 0.695). Moreover, combining CEUS perfusion characteristics with STQ parameters yielded an AUC value of 0.815 for diagnosing SLN properties, showing no significant difference compared to diagnosis with CEUS or STQ parameters alone (Z= 0.149, 0.516, p= 0.882, 0.606).

Conclusion: Combined use of perfusion characteristics evaluated by CEUS and STQ parameters can significantly improve the diagnostic specificity of SLN in breast cancer. It is worthy of clinical promotion.

Background: This study explores the influence of Diagnosis-Related Groups (DRG) payment reform on hospital cost control and offers pertinent cost management strategies for public hospitals. It situates the research by elucidating the significance of the DRG payment method and comparing its advantages and drawbacks with the traditional 'pay per project' model.

Objective: The primary aim is to assess the impact of DRG payment reform on hospital cost control and propose effective cost management strategies for public hospitals. The objective is to provide insights into DRG payment implications and attempt practical recommendations for its implementation in the public healthcare sector.

Methods: Employing a comprehensive approach, the study analyzes DRG payment, delineates advantages and drawbacks, and proposes cost management strategies. Methods include staff training, an information management platform, disease analysis, and optimized cost accounting. The study highlights the potential for improved medical diagnosis and treatment through industry-finance integration.

Results: Findings reveal advantages and limitations of DRG payment, emphasizing strategies for optimizing hospital operations. Enhanced medical diagnosis and treatment procedures through industry-finance integration contribute to overall cost control effectiveness.

Conclusion: The study serves as a practical guide for implementing DRG payment reforms, offering valuable insights for policymakers and healthcare professionals in navigating the complexities of cost control in public healthcare.

Background: Perioperative depth monitoring techniques, such as electroencephalography bispectral index (BIS), entropy index, and auditory evoked potential, are commonly used to assess anesthesia depth. However, the influence of patient positioning changes, particularly in gynecological surgeries where a head-down position is often required, on the accuracy of these monitoring indices remains unexplored.

Objective: The aim of the our study was to observe the impact of patient position changes on the monitoring value of entropy and BIS to identify a more sensitive method of anaesthesia depth monitoring for gynaecological surgery patients.

Methods: We conducted a study involving 40 women undergoing general anesthesia, during which routine monitoring of vital signs, including electrocardiogram (ECG), heart rate (HR), noninvasive arterial blood pressure (NIBP), oxyhemoglobin saturation (SpO2), and end-expiratory carbon dioxide (PetCO2), was initiated. Entropy and BIS devices were affixed to the patients' foreheads after alcohol sterilization to record brain activity. Tracheal intubation was performed following anesthesia induction. Throughout anesthesia maintenance, the value of BIS and response entropy (RE) were monitored and maintained between 40 and 50 by adjusting the infusion rate of propofol and remifentanil with Target Controlled Infusion (TCI, Mintopharmacokinetics model). Dosing for infusion control utilized corrected weight (height-105). Data were recorded before and after position changes, including tilting the operating table to head-down positions of 15 and 25 degrees, returning to a supine position, and elevating the head to 15 and 25-degree angles. BIS and entropy values at different time points were compared between the groups.

Results: Both BIS and entropy values increased from supine to head-down position and decreased from supine to head-up position, with entropy changes preceding those of BIS. Heart rate increased after head-up and decreased after head-down, while mean blood pressure (MBP) exhibited the opposite effect on heart rate. Significant correlations were found between heart rate and BIS (correlation coefficient: -0.43) and RE (correlation coefficient: -0.416), as well as between MBP and BIS (correlation coefficient: 0.346) and RE (correlation coefficient: 0.384).

Conclusion: Changes in patient position can significantly affect the value of RE and BIS, as changes in entropy occur earlier than changes in the BIS.

Background: Lung cancer is one of the most common cancers worldwide, with the incidence increasing each year. It is crucial to improve the prognosis of patients who have lung cancer. Non-Small Cell Lung Cancer (NSCLC) accounts for the majority of lung cancer. Though its prognostic significance in NSCLC has not been often documented, Endoplasmic Reticulum (ER) stress has been identified to be implicated in tumour malignant behaviours and resistance to treatment.

Objective: This work aimed to develop a gene profile linked to ER stress that could be applied to predictive and risk assessment for non-small cell lung cancer.

Methods: Data from 1014 NSCLC patients were sourced from The Cancer Genome Atlas (TCGA) database, integrating clinical and Ribonucleic Acid (RNA) information. Diverse analytical techniques were utilized to identify ERS-associated genes associated with patients' prognoses. These techniques included Kaplan-Meier analysis, univariate Cox regression, Least Absolute Shrinkage and Selection Operator regression analysis (LASSO) regression, and Pearson correlation analysis. Using a risk score model obtained from multivariate Cox analysis, a nomogram was created and validated to classify patients into high- and low-risk groups. The study employed the CIBERSORT algorithm and Single-Sample Gene Set Eenrichment Analysis (ssGSEA) to investigate the tumour immune microenvironment. We used the Genomics of Drug Sensitivity in Cancer (GDSC) database and R tools to identify medicines that could be responsive.

Results: Four genes - FABP5, C5AR1, CTSL, and LTA4H - were chosen to create the risk model. Overall Survival (OS) was considerably lower (P< 0.05) in the high-risk group. When it came to predictive accuracy, the risk model outperformed clinical considerations. Several medication types that are sensitive to high-risk groups were chosen.

Conclusion: Our study has produced a gene signature associated with ER stress that may be employed to forecast the prognosis and therapeutic response of non-small cell lung cancer patients.