ObjectiveTo figure out the factors affecting the prognosis of liver transplantation and the research progress on methods for predicting the prognosis of liver transplantation so as to provide guidance and reference for the distribution of liver sources and the perioperative treatment of liver transplantation.MethodThe literatures related to the factors influencing the prognosis of liver transplantation and the methods in predicting the prognosis were searched in the PubMed, CNKI, Wanfang, and other databases and the results were analyzed and summarized.ResultsThe liver transplantation was an effective method in the treatment of end-stage liver diseases. The main factors affecting the prognosis of liver transplantation included the change of internal environment, systemic inflammatory response, and general systemic conditions. On the basis of Model for End-stage Liver Disease (MELD), the new prediction model built in combination with the blood sodium ion, lactate, muscle mass, or reticulocyte count and hemoglobin concentration had improved the prognostic prediction ability of liver transplantation.ConclusionsIt is possible to predict the prognosis of patients with liver transplantation more accurately by selecting a more targeted prediction model combined with the factors affecting the prognosis of liver transplantation. It might provide a reference for perioperative management and treatment and make the limited liver source play the most role and save more lives.
Objective To broaden the current understanding of the usage willingness about artificial intelligence (AI) robots and relevant influence factors for elderly patients. Methods The elderly patients in the inpatient ward, outpatient department and physical examination of the Department of Geriatrics, West China Hospital of Sichuan University were selected by convenient sampling for investigation between February and April 2020, to explore the willingness of elderly patients to use AI robots and related influencing factors. Results A total of 446 elderly patients were included. There were 244 males and 202 females. The willingness to use AI robots was (14.40±3.62) points. There were statistically significant differences among the elderly patients with different ages, marital status, living conditions, educational level, current health status, current vision status, current hearing status, self-care ability and family support in their willingness to use AI robots (P<0.05). Multiple linear regression analysis showed that age, education level and family support were the influencing factors of use intention (P<0.05). Among the elderly patients, 60.76% had heard of AI robots, but only 28.03% knew the medical application of AI robots, and only 13.90% had used AI robot services. Most elderly patients (>60%) thought that some adverse factors may reduce their usage willingness, like “the price is too expensive” and “the use is complex, or I don’t know how to use”. Conclusions Elderly patients’ cognition of AI robots is still at a low level, and their willingness to use AI robots is mainly affected by age, education level and family support. It is suggested to consider the personalized needs of the elderly in terms of different ages, education levels and family support, and promote the cheap and user-friendly AI robots, so as to improve the use of AI robots by elderly patients.
ObjectiveTo investigate the protein intake of patients in the general surgery intensive care unit (ICU) and to analyze the factors, both hindering and facilitating, that affecting protein intake from the perspective of healthcare professionals. MethodsA mixed-methods approach was used in this study, including a quantitative study and a qualitative study. The quantitative study was use to assess the protein intake in the ICU patients. The qualitative study was used to analyze the perspectives of healthcare professionals via semi-structured interviews. In the quantitative study, 32 variables were analyzed, and the sample size was estimated to be 10 times the number of study variables. The qualitative study employed the maximum difference sampling strategy, with the sample size determined by data saturation. The multiple linear regression was used to identify the risk factors affecting protein intake achievement, with a significance level of α=0.05. ResultsThe quantitative study included 459 patients, with a protein intake of (0.739±0.552) g/(kg·d). Of the patients, 90 (19.6%) had a protein intake of 1.2–2.0 g/(kg·d), 11 (2.3%) had 2.0 g/(kg·d) or more, and 358 (78.0%) had less 1.2 g/(kg·d). The multiple linear regression analysis identified several risk factors influencing protein intake attainment, including male, higher body mass index, elevated blood glucose levels upon ICU admission, early initiation of enteral nutrition (≤48 h), nasoenteric tube placement, and the only use of enteral nutrition feedings. In the qualitative study, three key themes relevant protein intake attainment were identified from the interviews: inadequate infrastructure, healthcare workers’ factors, and patient-related factors. ConclusionsThe findings of this study suggest a substantial gap between the protein intake of general surgical ICU patients and the guideline-recommended intake. The study highlights patient groups at risk for inadequate protein intake based on identified risk factors. Future efforts should focus on improving the efficiency of protein supplementation, enhancing the nutritional status of patients, standardizing protein supplementation protocols, and increasing education for both healthcare workers and patients.
Objective To investigate the thirst status of patients in intensive care unit (ICU) who underwent oral tracheal intubation and ventilator assisted ventilation, and explore its influence factors. Methods A total of 172 patients with oral tracheal intubation admitted in ICU from June 2020 to September 2021 were investigated, and a numerical rating scale was employed for rating their thirst feelings. The patients were divided into a thirst group and a non-thirst group based on thirst status. The thirst status and influence factors of thirst distress were analyzed. Results The incidence of thirst in the ICU patients with oral tracheal intubation and ventilator assisted ventilation was 88.4%, and the thirst score in the thirst group was 7.70±1.17. Single factor analysis showed statistically significant difference between the two groups in sex, medical payment, smoking, drinking, duration of mechanical ventilation, humidification effect, sputum viscosity, gastrointestinal decompression, fasting, continuous renal replacement therapy, diuretics, 24-hour urine volume and liquid balance, heart function grading, sedatives, agitation, sweating, acute physiology and chronic health evaluation Ⅱ, endotracheal intubation depth, body mass index, PCO2, PO2, HCO3–, tidal volume, and sodium ion (all P<0.05). Multivariable regression analysis demonstrated that diuretics, sputum viscosity, sodium ion, alcohol consumption, smoking, intubation depth, and cardiac function were independent influence factors for the occurrence of thirst in the ICU patients who received tracheal intubation (P<0.01). Conclusions The incidence of thirst was high in ICU patients with airway intubation and ventilator assisted ventilation. Diuretics, sputum viscosity, sodium ion, alcohol consumption, smoking, 24-hour urine volume, and cardiac function grading were independent influence factors for the occurrence of thirst in ICU patients with tracheal intubation. It is necessary to implement targeted intervention to prevent and alleviate the thirst degree of patients, reduce the occurrence of related complications, and improve patient comfort.
Objective
Influence factors of the stable warfarin dose in the early period after mechanical prosthetic valve replacement were analyzed to guide the anticoagulation therapy for these patients.
Methods
A total of 288 patients within 6 months after mechanical prosthetic valve replacement in West China Hospital were followed up and registered at outpatient department from July 2012 to April 2014, including basic information (name, sex, age, height, weight, etc.), general clinical data (cardiac function, heart rate, surgery pattern, etc.) and related data about anticoagulation therapy. The target international standardized ratio (INR) range was 1.60 to 2.20 and the acceptable INR was 1.50 to 2.30. The sex, age, height, body weight, body mass index (BMI), body surface area (BSA) and related clinical factors were analyzed to find the relationship with the dose of warfarin.
Results
Sex was found to have a significant effect on the stable warfarin dose (P<0.05). Women needed a lower stable warfarin dose than men during the early anticoagulation therapy. There was no significant difference in the stable warfarin dose of patients with different ages, rhythms, NYHA classification, surgery pattern and diseases before operation; but the stable warfarin dose was lower in the patients with radiofrequency ablation during valve replacement procedures than the patients with single valve replacement (P<0.05). There was an association between age, height, weight, BMI, BSA and the stable warfarin dose withR2 of 1.2%, 3.2%, 3.5%, 1.1%, 4.2%, respectively and they could explain 6.1% of variability in warfarin dose.
Conclusion
During early anticoagulation therapy in patients with mechanical prosthetic valve replacement, it is necessary to consider the effects of various preoperative factors, drug factors and demographic factors on warfarin dose. Even though there is an association between age, height, weight, BMI, BSA and the stable warfarin dose, which can only explain 6.1% of variability in warfarin dose, thus cannot guide the postoperative anticoagulation of these patients.
ObjectiveTo investigate the mid-term effectiveness of debridement with prosthesis retention for periprosthetic joint infection (PJI) after total hip arthroplasty (THA) and total knee arthroplasty (TKA), and analyze the influence factors that affected the effectiveness.MethodsA clinical data of 45 cases with PJI after THA (16 cases) and TKA (29 cases) that were treated with debridement with prosthesis retention between January 2011 and January 2015 were collected and analyzed. There were 19 males and 26 females with a mean age of 58.4 years (range, 23-78 years). PJI occurred after primary joint arthroplasty in 40 cases and after revision in 5 cases. The mean time interval between the performance of infection symptoms and the arthroplasty or revision was 15.5 months (range, 0.5-72.0 months). The time interval between the performance of infection symptoms and debridment was 35 days (range, 3-270 days). There were early postoperative infections in 13 cases, acute hematogenous infections in 24 cases, and late chronic infections in 8 cases. X-ray films showed that the location of prosthesis was good. The results of bacilli culture showed that 28 cases were positive and 17 were negative. Twelve cases had sinuses. Length of stay, Hospital for Special Surgery (HSS) score, and Harris score were recorded to evaluate risk factors by using a multivariate logistic regression.ResultsThe mean length of stay was 22.6 days (range, 5-79 days). All patients were followed up 24-74 months (mean, 52 months). There were 33 cases that retained the prosthesis without further evidence of infection with the success rate was 73.3%. There were significant differences in Harris score and HSS score between pre- and post-operation (P<0.05). The univariate analysis results showed that the failure of debridement with prosthesis retention had a significant correlation with sinus developing and duration of infection symptoms more than 14 days (P<0.05). Multivariate logistic regression analysis results showed that sinus developing was an independent risk factor of failure (P<0.05).ConclusionDebridement with prosthesis retention plays an important role in treating PJI after THA and TKA. These patients with sinus performing and duration of infection symptoms more than 14 days have higher risk to develop infection again.
The risk factors of esophagogastric anastomotic leak in the perioperative period include malnutrition, smoking, steroid use, bowel preparation, chemotherapy, duration of surgery, vasopressor drugs use, intravenous fluid administration, blood transfusion and surgical anastomotic technique, which can be reduced with the improvement of surgeons' ability to identify the high-risk patients. This article summarizes the specific measures for these risk factors: preoperative nutritional support for 5–7 d for malnourished patients, full intestinal preparation, perioperative smoking cessation, limitation of steroids and vasopressors drug applications, avoidance of early operations (<4 weeks) following chemotherapy, and the goal-directed fluid management.
ObjectiveTo evaluate the effect of the surgeon’s handedness on the distribution of prosthesis during primary total knee arthroplasty (TKA).MethodsA retrospective analysis was performed on 86 patients (100 knees) with primary TKA completed by the same right-handed surgeon between December 2016 and December 2018, including 72 cases of single knee and 14 of bilateral knees. The patients were divided into dominant group (right side) and non-dominant group (left side) according to the operating position of the surgeon and each group had 50 knees. There was no significant difference in gender, age, body mass index, disease duration, clinical diagnosis, preoperative Hospital for Special Surgery (HSS) score, and other general data between the two groups (P>0.05). The operation time and complications were recorded in both groups. The function of knee was evaluated by HSS score. Hip-knee-ankle angle (HKA), mechanical lateral distal femoral angle (mLDFA), and mechanical medial proximal tibial angle (mMPTA) were measured by using X-ray film of full-length lower extremity before TKA and at 2 weeks after TKA that were used to evaluate the coronal position of the prosthesis. Posterior distal femoral angle (PDFA) and posterior proximal tibial angle (PPTA) were measured by using lateral X-ray films at 3 months after operation that were used to evaluate the sagittal position of the prosthesis.ResultsThere was no significant difference in operation time between the two groups (t=?1.128, P=0.262). One case of posterior tibial artery thrombosis occurred in the dominant group, and 1 case of poor healing of the incision occurred in each of the dominant group and the non-dominant group. Patients in both groups were followed up 12-34 months with an average of 22.0 months. The HSS scores at last follow-up were 87.2±4.3 in the dominant group and 86.8±5.0 in the non-dominant group. There was no significant difference between the two groups (t=0.471, P=0.639). No complications such as periprosthetic infection, prosthetic loosening, or periprosthetic fracture occurred during follow-up. There was no significant difference in the HKA, mLDFA, and mMPTA between the two groups before and after operation (P>0.05). The differences in the incidence of sagittal femoral prosthesis malposition and PDFA between the two groups were significant (P<0.05); however, there was no significant difference in the PPTA, the rate of femoral prosthesis distributed in the neutral position, the incidence of over-flexed femoral prosthesis, and the incidence of anterior femoral notch (P>0.05).ConclusionThe surgeon’s handedness is one of the factors affecting the placement of the sagittal femoral prosthesis in primary TKA. The incidence of sagittal femoral prosthesis malposition could increase when the surgeon performs on the non-dominant side.
Dental composite resin is a kind of material which has been widely used in dental restoration. Research has found that the influence of residual monomer on the material mechanical, chemical and biological properties cannot be ignored. This paper elaborates these harms of residual monomers. The effects of resin matrix, inorganic filler and initiating system, illumination, secondarily treatment on the degree of conversion were also analyzed. The paper also discusses the effective measures to increase the conversion, and offers theoretical basis for the clinical application and development of composite resin.
ObjectiveTo understand the current status of oral frailty in older patients with colostomy, and analyze the factors affecting oral frailty. MethodsA retrospective analysis was conducted on older patients with colostomy who visited the Department of Gastrointestinal Surgery, Shandong Provincial Hospital from May 2023 to December 2023. The questionnaire survey was conducted using the general data questionnaire, oral frailty index-8 (OFI-8), the edmonton frail scale (EFS), and the nutritional risk screening score 2002. According to the OFI-8 score, the patients were divided into oral frailty group and non-oral frailty group, and the two-classified logistic regression model was used for multivariate analysis to explore the factors affecting the oral frailty of older patients. ResultsA total of 283 survey subjects were collected, and the incidence of oral frailty in older patients was 66.4% (188/283). Multivariate analysis showed that old age [OR=1.181, 95% CI (1.015, 1.373), P=0.032], history of smoking [OR=2.721, 95%CI (1.122, 6.599), P=0.027], history of alcohol [OR=2.878, 95%CI (1.185, 6.991), P=0.020], dentures [OR=3.173, 95%CI (1.297, 7.759), P=0.011], postoperative oral diseases≥2 [OR=5.802, 95%CI (1.911, 17.615), P=0.002], nutritional risk [OR=2.744, 95%CI (1.033, 7.284), P=0.043], high EFS score [OR=1.823, 95% CI (1.309, 2.538), P<0.001], permanent stoma [OR=2.659, 95%CI (1.126, 6.275), P=0.026] were risk factors for oral frailty in older patients with colostomy. ConclusionsThe incidence of oral frailty in older patients with colostomy is relatively high. We should pay more attention to the patients’ oral frailty, and implement precise intervention measures for high-risk factors to prevent the occurrence of oral frailty or improve the condition of oral frailty.
