Uptoncowan6236
cancer surgery patients, change the response to disease, and reduce the risk of postoperative infection.
Cooperative nursing care management and self-efficacy education improved the physical and mental states of gastrointestinal cancer surgery patients, change the response to disease, and reduce the risk of postoperative infection.
There are many factors that lead to dwarfism, and the mechanism has not yet been elucidated. Next-generation sequencing may identify candidate-related gene mutations, which may clarify the molecular cause.
To analyze genetic variation by using a constructed panel related to dwarfism by utilizing next-generation sequencing platform sequencing analysis to screen candidate-related gene mutations.
Physical and laboratory characteristics, including clinical examination, growth hormone drug challenge test, serum insulin-like growth factor-1 (IGF-1), IGF binding protein 3, other related tests, imaging examination, and chromosome karyotyping, were analyzed. Next-generation sequencing was performed to analyze pathogenicity variability.
In the 39 dwarfism patients, 10 had pathogenicity variability. Gene variation was found in the
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genes. Of the 10 patients with pathogenicity variability, the related physical characteristics included double breast development and growth hormone deficiency, enuresis and indirect inguinal hernia on the left, two finger distance of 70.2 cm, head circumference of 49.2 cm, ischium/lower body length of 1.8 cm, weak limb muscles, and partial growth hormone deficiency. After 6 mo of growth hormone therapy, the concentrations of IGF-1 and IGF binding protein 3 increased from 215.2 ± 170.3 to 285.0 ± 166.0 and 3.9 ± 1.4 to 4.2 ± 1.1, respectively.
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genes may be related to the incidence of dwarfism, and more research needs to be performed to elucidate the mechanism.
OBSL1, SLC26A2, PTPN11, COL27AI, HDAC6, CUL7, FGFR3, DYNC2H1, GH1, and ATP7B genes may be related to the incidence of dwarfism, and more research needs to be performed to elucidate the mechanism.
Early hepatic artery thrombosis (E-HAT) is a serious complication after liver transplantation (LT), which often results in graft failure and can lead to patient deaths. Treatments such as re-transplantation and re-anastomosis are conventional therapeutic methods which are restricted by the shortage of donors and the patient's postoperative intolerance to re-laparotomy. Due to the advances in interventional techniques and thrombolytics, endovascular treatments are increasingly being selected by more and more centers. This study reviews and reports our single-center experience with intra-arterial thrombolysis as the first choice therapy for E-HAT after deceased donor LT.
To evaluate the feasibility and reasonability of intra-arterial thrombolysis for E-HAT after deceased donor LT.
A total of 147 patients who underwent deceased donor LT were retrospectively reviewed in our hospital between September 2011 and December 2016. Four patients were diagnosed with E-HAT. All of these patients underwent intra-arter 75% (3/4), and biliary complications were present in 50% of patients (2/4).
Intra-arterial thrombolysis can be considered first-line treatment for E-HAT after deceased donor LT. Early diagnosis of E-HAT is important and follow-up is necessary even if recanalization is successful.
Intra-arterial thrombolysis can be considered first-line treatment for E-HAT after deceased donor LT. Early diagnosis of E-HAT is important and follow-up is necessary even if recanalization is successful.
Percutaneous radiofrequency ablation (RFA) is an effective treatment for unresectable hepatocellular carcinoma (HCC) and a minimally invasive alternative to hepatectomy for treating tumour recurrence. RFA is often performed using contrast-enhanced computed tomography (CECT) and/or ultrasonography. Torkinib In recent years, angiographic systems with flat panel image detectors and advanced image reconstruction algorithms have broadened the clinical applications of cone-beam computed tomography (CBCT), including RFA. Several studies have shown the effectiveness of using CBCT for immediate treatment assessments and follow-ups.
To assess the treatment response to RFA for HCC using CBCT.
Forty-eight patients (44 men; aged 37-89 years) with solitary HCC [median size 3.2 (1.2-6.6) cm] underwent RFA and were followed for 25.6 (median; 13.5-35.2) mo. Image fusion of CBCT and pre-operative CECT or magnetic resonance imaging (MRI) was used for tumour segmentation and needle path and ablation zone planning. Real-time image gve dose was 10.27 mSv (range 5.32-19.01 mSv). Tumour size < 2 cm (
= 0.008) was a significant factor for OS, while age (
= 0.001), tumour size < 2 cm (
< 0.001), tumour stage (
= 0.010), and initial treatment response (
= 0.003) were significant factors for PFS.
Reliable RFA treatment planning and satisfactory outcomes can be achieved with CBCT.
Reliable RFA treatment planning and satisfactory outcomes can be achieved with CBCT.
Nomograms for prognosis prediction in colorectal cancer patients are few, and prognostic indicators differ with age.
To construct a new nomogram survival prediction tool for middle-aged and elderly patients with stage III rectal adenocarcinoma.
A total of 2773 eligible patients were divided into the training cohort (70%) and the validation cohort (30%). Optimal cutoff values were calculated using the X-tile software for continuous variables. Univariate and multivariate Cox proportional hazards regression analyses were used to determine overall survival (OS) and cancer-specific survival (CSS)-related prognostic factors. Two nomograms were successfully constructed. The discriminant and predictive ability and clinical usefulness of the model were also assessed by multiple methods of analysis.
The 95%CI in the training group was 0.719 (0.690-0.749) and 0.733 (0.702-0.74), while that in the validation group was 0.739 (0.696-0.782) and 0.750 (0.701-0.800) for the OS and CSS nomogram prediction models, respectively. In the validation group, the AUC of the three-year survival rate was 0.762 and 0.770, while the AUC of the five-year survival rate was 0.722 and 0.744 for the OS and CSS nomograms, respectively. The nomogram distinguishes all-cause mortality from cancer-specific mortality in patients with different risk grades. The time-dependent AUC and decision curve analysis showed that the nomogram had good clinical predictive ability and decision efficacy and was significantly better than the tumor-node-metastases staging system.
The survival prediction model constructed in this study is helpful in evaluating the prognosis of patients and can aid physicians in clinical diagnosis and treatment.
The survival prediction model constructed in this study is helpful in evaluating the prognosis of patients and can aid physicians in clinical diagnosis and treatment.
