Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
1.
BMC Musculoskelet Disord ; 23(1): 1081, 2022 Dec 12.
Article in English | MEDLINE | ID: mdl-36503513

ABSTRACT

BACKGROUND: Minimally invasive plate osteosynthesis (MIPO) via percutaneous plate placement on the distal medial tibia can be performed with minimizes soft tissue injury and produces good clinical results. However, the difficulty with MIPO lies in how to achieve satisfactory fracture reduction and maintain that reduction via indirect reduction techniques to facilitate internal fixation. The purpose of this study was to compare the effects of AO distractor and manual traction reduction techniques combined with MIPO in the treatment of distal tibia fractures. METHODS: Between January 2013 and December 2019, 58 patients with a distal tibia fracture were treated using MIPO. Patients were divided into two groups according to the indirect reduction method that was used: 26 patients were reduced with manual traction(group M), and 32 were reduced with an AO distractor (group A).Time until union and clinical outcomes including AOFAS ankle-rating score and ankle range of ankle motion at final follow-up were compared. Mean operative time, incision length, blood loss and postoperative complications were recorded via chart review. Radiographic results at final follow-up were assessed for tibial angulation and shortening by a blinded reader. RESULTS: Mean operative time, incision length, and blood loss in group A were significantly lower than in group M(p = 0.019, 0.018 and 0.016, respectively).Radiographic evidence of bony union was seen in all cases, and mean time until union was equivalent between the two groups (p = 0.384).Skin irritation was noted in one case(3.1%) in group A and three cases(11.5%)in group M, but the symptoms were not severe and the plate was removed after bony union. There was no statistically significant difference in postoperative complications between the two groups(p = 0.461). Mean AOFAS score and range of ankle motion were equivalent between the two groups, as were varus deformity, valgus deformity, anterior angulation and posterior angulation. No patients had gross angular deformity. Mean tibial shortening was not significantly different between the two groups, and no patients had tibial shortening > 10 mm. CONCLUSION: Both an AO distractor and manual traction reduction techniques prior to MIPO in the treatment of distal tibial fractures permit a high fracture healing rate and satisfying functional outcomes with few wound healing complications. An AO distractor is an excellent indirect reduction method that may improve operative efficiency and reduce the risk of soft tissue injury.


Subject(s)
Soft Tissue Injuries , Tibial Fractures , Humans , Minimally Invasive Surgical Procedures/adverse effects , Minimally Invasive Surgical Procedures/methods , Radiography , Tibial Fractures/diagnostic imaging , Tibial Fractures/surgery , Bone Plates , Fracture Fixation, Internal/adverse effects , Fracture Fixation, Internal/methods , Fracture Healing , Soft Tissue Injuries/etiology , Postoperative Complications/etiology , Treatment Outcome
2.
J Gene Med ; 22(6): e3174, 2020 06.
Article in English | MEDLINE | ID: mdl-32056303

ABSTRACT

BACKGROUND: MicroRNAs (miRs) hold critical implications in the modulation of osteogenesis. This work was designed to unravel the underlying regulatory mechanism of miR-22 during osteoblast differentiation. METHODS: Synthetic miR-22 mimics or inhibitors were transfected into preosteoblast MC3T3-E1 cells to regulate miR-22 expression. MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] and flow cytometry analyses were employed to assess cell proliferation and apoptosis. A quantitative real-time polymerase chain reaction and western blot assays were applied to measure mRNA and protein expression. Alkaline phosphatase activity and alizarin red staining were tested to further analyze cell differentiation. In silico analysis and luciferase reporter assays were utilized to identify the direct binding between miR-22 and its potential target. RESULTS: MTT and flow cytometry analyses showed that miR-22 repressed MC3T3-E1 cell viability and promoted cell apoptosis. By detecting osteogenic-specific molecule expression, alkaline phosphatase activity and alizarin red staining, miR-22 was observed to suppress osteogenic differentiation of MC3T3-E1 cells. In silico analysis and luciferase reporter assays confirmed that ESR1 is a direct target gene of miR-22. In addition, miR-22 expression affected the phosphorylation of p38 mitogen-activated protein kinase and Jun N-terminal kinase expression in MC3T3-E1 cells. CONCLUSIONS: The findings of the present study highlight the functional significance of miR-22 in osteoblast differentiation and suggest its role as a possible therapeutic target in metabolic bone disorders.


Subject(s)
Estrogen Receptor alpha/genetics , Gene Expression Regulation , MAP Kinase Signaling System , MicroRNAs/genetics , Osteoblasts/metabolism , RNA Interference , Animals , Apoptosis/genetics , Biomarkers , Cell Differentiation/genetics , Cell Line , Cell Survival/genetics , Mice , Osteoblasts/cytology , Osteogenesis/genetics , RNA, Messenger/genetics , p38 Mitogen-Activated Protein Kinases/metabolism
3.
World J Gastrointest Surg ; 16(7): 2221-2231, 2024 Jul 27.
Article in English | MEDLINE | ID: mdl-39087116

ABSTRACT

BACKGROUND: Peripherally inserted central catheters (PICCs) are commonly used in hospitalized patients with liver cancer for the administration of chemotherapy, nutrition, and other medications. However, PICC-related thrombosis is a serious complication that can lead to morbidity and mortality in this patient population. Several risk factors have been identified for the development of PICC-related thrombosis, including cancer type, stage, comorbidities, and catheter characteristics. Understanding these risk factors and developing a predictive model can help healthcare providers identify high-risk patients and implement preventive measures to reduce the incidence of thrombosis. AIM: To analyze the influencing factors of PICC-related thrombosis in hospitalized patients with liver cancer, construct a predictive model, and validate it. METHODS: Clinical data of hospitalized patients with liver cancer admitted from January 2020 to December 2023 were collected. Thirty-five cases of PICC-related thrombosis in hospitalized patients with liver cancer were collected, and 220 patients who underwent PICC placement during the same period but did not develop PICC-related thrombosis were randomly selected as controls. A total of 255 samples were collected and used as the training set, and 77 cases were collected as the validation set in a 7:3 ratio. General patient information, case data, catheterization data, coagulation indicators, and Autar Thrombosis Risk Assessment Scale scores were analyzed. Univariate and multivariate unconditional logistic regression analyses were performed on relevant factors, and the value of combined indicators in predicting PICC-related thrombosis in hospitalized patients with liver cancer was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS: Univariate analysis showed statistically significant differences (P < 0.05) in age, sex, Karnofsky performance status score (KPS), bedridden time, activities of daily living impairment, parenteral nutrition, catheter duration, distant metastasis, and bone marrow suppression between the thrombosis group and the non-thrombosis group. Other aspects had no statistically significant differences (P > 0.05). Multivariate regression analysis showed that age ≥ 60 years, KPS score ≤ 50 points, parenteral nutrition, stage III to IV, distant metastasis, bone marrow suppression, and activities of daily living impairment were independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer (P < 0.05). Catheter duration of 1-6 months and catheter duration > 6 months were protective factors for PICC-related thrombosis (P < 0.05). The predictive model for PICC-related thrombosis was obtained as follows: P predictive probability = [exp (Logit P)]/[1 + exp (Logit P)], where Logit P = age × 1.907 + KPS score × 2.045 + parenteral nutrition × 9.467 + catheter duration × 0.506 + tumor-node-metastasis (TNM) staging × 2.844 + distant metastasis × 2.065 + bone marrow suppression × 2.082 + activities of daily living impairment × 13.926. ROC curve analysis showed an area under the curve (AUC) of 0.827 (95%CI: 0.724-0.929, P < 0.001), with a corresponding optimal cut-off value of 0.612, sensitivity of 0.755, and specificity of 0.857. Calibration curve analysis showed good consistency between the predicted occurrence of PICC-related thrombosis and actual occurrence (P > 0.05). ROC analysis showed AUCs of 0.888 and 0.729 for the training and validation sets, respectively. CONCLUSION: Age, KPS score, parenteral nutrition, TNM staging, distant metastasis, bone marrow suppression, and activities of daily living impairment are independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer, while catheter duration is a protective factor for the disease. The predictive model has an AUC of 0.827, indicating high predictive accuracy and clinical value.

4.
World J Gastrointest Surg ; 16(8): 2574-2582, 2024 Aug 27.
Article in English | MEDLINE | ID: mdl-39220084

ABSTRACT

BACKGROUND: Study on influencing factors of gastric retention before endoscopic retrograde cholangiopancreatography (ERCP) background: With the wide application of ERCP, the risk of preoperative gastric retention affects the smooth progress of the operation. The study found that female, biliary and pancreatic malignant tumor, digestive tract obstruction and other factors are closely related to gastric retention, so the establishment of predictive model is very important to reduce the risk of operation. AIM: To analyze the factors influencing preoperative gastric retention in ERCP and establish a predictive model. METHODS: A retrospective analysis was conducted on 190 patients admitted to our hospital for ERCP preparation between January 2020 and February 2024. Patient baseline clinical data were collected using an electronic medical record system. Patients were randomly matched in a 1:4 ratio with data from 190 patients during the same period to establish a validation group (n = 38) and a modeling group (n = 152). Patients in the modeling group were divided into the gastric retention group (n = 52) and non-gastric retention group (n = 100) based on whether gastric retention occurred preoperatively. General data of patients in the validation group and modeling group were compared. Univariate and multivariate logistic regression analyses were performed to identify factors influencing preoperative gastric retention in ERCP patients. A predictive model for preoperative gastric retention in ERCP patients was constructed, and calibration curves were used for validation. The receiver operating characteristic (ROC) curve was analyzed to evaluate the predictive value of the model. RESULTS: We found no statistically significant difference in general data between the validation group and modeling group (P > 0.05). The comparison of age, body mass index, hypertension, and diabetes between the two groups showed no statistically significant difference (P > 0.05). However, we noted statistically significant differences in gender, primary disease, jaundice, opioid use, and gastrointestinal obstruction between the two groups (P < 0.05). Multivariate logistic regression analysis showed that gender, primary disease, jaundice, opioid use, and gastrointestinal obstruction were independent factors influencing preoperative gastric retention in ERCP patients (P < 0.05). The results of logistic regression analysis revealed that gender, primary disease, jaundice, opioid use, and gastrointestinal obstruction were included in the predictive model for preoperative gastric retention in ERCP patients. The calibration curves in the training set and validation set showed a slope close to 1, indicating good consistency between the predicted risk and actual risk. The ROC analysis results showed that the area under the curve (AUC) of the predictive model for preoperative gastric retention in ERCP patients in the training set was 0.901 with a standard error of 0.023 (95%CI: 0.8264-0.9567), and the optimal cutoff value was 0.71, with a sensitivity of 87.5 and specificity of 84.2. In the validation set, the AUC of the predictive model was 0.842 with a standard error of 0.013 (95%CI: 0.8061-0.9216), and the optimal cutoff value was 0.56, with a sensitivity of 56.2 and specificity of 100.0. CONCLUSION: Gender, primary disease, jaundice, opioid use, and gastrointestinal obstruction are factors influencing preoperative gastric retention in ERCP patients. A predictive model established based on these factors has high predictive value.

5.
World J Gastrointest Surg ; 16(8): 2583-2591, 2024 Aug 27.
Article in English | MEDLINE | ID: mdl-39220076

ABSTRACT

BACKGROUND: Acute pancreatitis (AP) is a disease caused by abnormal activation of pancreatic enzymes and can lead to self-digestion of pancreatic tissues and dysfunction of other organs. Enteral nutrition plays a vital role in the treatment of AP because it can meet the nutritional needs of patients, promote the recovery of intestinal function, and maintain the barrier and immune functions of the intestine. However, the risk of aspiration during enteral nutrition is high; once aspiration occurs, it may cause serious complications, such as aspiration pneumonia, and suffocation, posing a threat to the patient's life. This study aims to establish and validate a prediction model for enteral nutrition aspiration during hospitalization in patients with AP. AIM: To establish and validate a predictive model for enteral nutrition aspiration during hospitalization in patients with AP. METHODS: A retrospective review was conducted on 200 patients with AP admitted to Chengdu Shangjin Nanfu Hospital, West China Hospital of Sichuan University from January 2020 to February 2024. Clinical data were collected from the electronic medical record system. Patients were randomly divided into a validation group (n = 40) and a modeling group (n = 160) in a 1:4 ratio, matched with 200 patients from the same time period. The modeling group was further categorized into an aspiration group (n = 25) and a non-aspiration group (n = 175) based on the occurrence of enteral nutrition aspiration during hospitalization. Univariate and multivariate logistic regression analyses were performed to identify factors influencing enteral nutrition aspiration in patients with AP during hospitalization. A prediction model for enteral nutrition aspiration during hospitalization was constructed, and calibration curves were used for validation. Receiver operating characteristic curve analysis was conducted to evaluate the predictive value of the model. RESULTS: There was no statistically significant difference in general data between the validation and modeling groups (P > 0.05). The comparison of age, gender, body mass index, smoking history, hypertension history, and diabetes history showed no statistically significant difference between the two groups (P > 0.05). However, patient position, consciousness status, nutritional risk, Acute Physiology and Chronic Health Evaluation (APACHE-II) score, and length of nasogastric tube placement showed statistically significant differences (P < 0.05) between the two groups. Multivariate logistic regression analysis showed that patient position, consciousness status, nutritional risk, APACHE-II score, and length of nasogastric tube placement were independent factors influencing enteral nutrition aspiration in patients with AP during hospitalization (P < 0.05). These factors were incorporated into the prediction model, which showed good consistency between the predicted and actual risks, as indicated by calibration curves with slopes close to 1 in the training and validation sets. Receiver operating characteristic analysis revealed an area under the curve (AUC) of 0.926 (95%CI: 0.8889-0.9675) in the training set. The optimal cutoff value is 0.73, with a sensitivity of 88.4 and specificity of 85.2. In the validation set, the AUC of the model for predicting enteral nutrition aspiration in patients with AP patients during hospitalization was 0.902, with a standard error of 0.040 (95%CI: 0.8284-0.9858), and the best cutoff value was 0.73, with a sensitivity of 91.9 and specificity of 81.8. CONCLUSION: A prediction model for enteral nutrition aspiration during hospitalization in patients with AP was established and demonstrated high predictive value. Further clinical application of the model is warranted.

7.
Clin Interv Aging ; 13: 1465-1474, 2018.
Article in English | MEDLINE | ID: mdl-30197508

ABSTRACT

BACKGROUND: The objective of the study was to investigate the effects of glucocorticoid (GC) on the fracture healing process in a closed femur fracture mice model. MATERIALS AND METHODS: Forty 12-week-old female CD-1 mice were randomly allocated into four groups: healthy control and mice with prednisone exposure (oral gavage), 6 mg/kg/day (GC-L), 9 mg/kg/day (GC-M) and 12 mg/kg/day (GC-H). Three weeks after the initiation of prednisone dosing, closed femur fractures were created on prednisone-exposed mice and the healthy control. Prednisone administration was continued for 9 weeks post-fracture, and X-ray imaging was performed weekly to monitor the fracture healing process until the mice were euthanized. Necropsy was performed after 9 weeks and the fractured femurs were isolated and processed at necropsy for micro-CT and biomechanical property analysis. Another 20 mice (control and GC-H, 10 mice/group) were used for histology and micro-CT analysis at early time point (2-week post fracture) with continued prednisone exposure. RESULTS: The results showed that oral administration of prednisone for 3 months in this strain of mice could inhibit endochondral ossification and delay the healing process, especially hard callus formation (woven bone) and bone remodeling during healing. It also could significantly decrease bone biomechanical properties. CONCLUSION: Long-term GC administration leads to significantly delayed fracture healing and impaired bone biomechanical properties. This mouse model may be used to systematically study the cellular and molecular mechanisms underlying fracture healing with GC treatment background and may also be used to study the influence of different therapeutic interventions for bone fracture healing.


Subject(s)
Femoral Fractures/physiopathology , Fracture Healing/drug effects , Glucocorticoids/pharmacology , Prednisone/pharmacology , Animals , Biomechanical Phenomena , Bone Remodeling/drug effects , Bony Callus/drug effects , Disease Models, Animal , Female , Mice , Osteogenesis/drug effects , Random Allocation , X-Ray Microtomography
SELECTION OF CITATIONS
SEARCH DETAIL