目的:觀察抗菌素聯合療法結合BMP紅外光治療宮頸糜爛的療效和作用機理。方法:用抗菌素職合療法結合BMP紅外光治療宮頸糜爛92例與83例單用BMP紅外光作對比。結果:治療組痊愈率97.83%,對照組為73.49%,兩組比較有顯著性差異(Plt;0.005)。治療組副反應明顯低于對照組,創面愈合時間與對照組比較有顯著性差異(Plt;0.005)。結論:抗菌素聯合治療法結合BMP紅外光治療宮頸糜爛能提高治愈率,減少副反應,加速創面愈合。
Chronic kidney disease (CKD) has been highlighted as one of the most important public health problems due to sharply climbing incidence and prevalence. To efficiently attenuate the disease burden and improve the disease management, not only active and effective treatment should be administrated, but also comprehensive follow-up nursing management with innovative and evolving spirits should be implemented. Thus dynamic changes of diseases could be acquired in time and patients are under appropriate medical instruction as soon as possible. This editorial is based on quickly developing medical big data resources and advanced internet techniques, from both aspects of patients and health care providers, briefly talking about integrated management strategy of CKD and its future development in China.
Acute kidney injury (AKI) is a common critical illness in clinical practice, with complex etiologies, acute onset, and rapid progression. It not only significantly increases the mortality rate of patients, but also may progress to chronic kidney disease. Currently, its incidence remains high, and improving early diagnosis rate and treatment efficacy is a major clinical challenge. Artificial intelligence (AI), with its powerful data processing and analysis capabilities, is developing rapidly in medical field, providing new ideas for disease diagnosis and treatment, and showing great potential in revolutionizing the early diagnosis, condition assessment, and treatment decision-making models in the AKI field. This article will review the application progress of AI in AKI prediction, condition assessment, and treatment decision-making, so as to provide references for clinicians and promote the further application and development of AI in the AKI field.
Sepsis is a common clinical critical illness, which often leads to multiple organ damage including the kidney damage, which is difficult to treat and has a high mortality rate. In recent years, extracorporeal blood purification therapy has made some progress in the field of sepsis. There are a variety of blood purification modes to choose, but there is still no unified standard for the initiation timing of blood purification therapy. Clinicians mainly evaluate the indicators and the initiation timing of blood purification therapy according to the patient’s needs for renal function replacement and/or inflammatory mediator clearance. This article mainly summarizes and discusses the initiation timing of blood purification therapy in sepsis.
ObjectiveTo investigate the role of multiple disciplinary team (MDT) during surgical treatment of renal secondary hyperparathyroidism (SHPT), and identify management points of Departments of Nephrology and Endocrinology.MethodsThe data of patients with chronic kidney disease undergoing surgical treatment for SHPT in West China Hospital of Sichuan University between January 2009 and December 2018 were retrospectively collected. We explained the surgical treatment of MDT in the management of renal SHPT, and compared the changes before and after the establishment of MDT.ResultsA total of 187 patients including 101 males and 86 females were enrolled, with an average age of (47.60±11.28) years old and median dialysis vintage of 7 years. Under MDT, the number of patients with parathyroidectomy increased [(8.50±5.10) vs. (59.50±2.12) patients/year, P<0.001] and the completion rate of preoperative examinations were greatly improved (P<0.001). The success rate of surgery was also increased (86.8% vs. 97.5%, P=0.010). Proportion of patients who were admitted to the Department of Nephrology was significantly increased (39.7% vs. 84.9%, P<0.001). Most patients after surgery were transferred to the Department of Endocrinology (5.9% vs. 77.3%, P<0.001) to manage postoperative complications and metabolic bone disease, and thus normalized the management of SHPT.ConclusionsThe MDT contributes to management of renal SHPT, which is worthy of popularization and spreading. The management of internal medicine departments during surgical treatment of SHPT based on MDT is important, because they can be helpful to complete preoperative examinations and preoperative preparation as well as to alleviate postoperative complications.
Objective To investigate the risk factors of high peritoneal transport characteristics in patients with end-stage renal disease undergoing initial continuous ambulatory peritoneal dialysis. Method The clinical data of continuous ambulatory peritoneal dialysis patients who underwent initial peritoneal dialysis and catheterization in the Department of Nephrology, West China Hospital of Sichuan University from January 2011 to December 2017 and completed the peritoneal equilibration test were collected retrospectively. According to the ratio of dialysate to plasma ratio for creatinine at 4 hour [D/Pcr (4h)] in the standard peritoneal equilibration test, the patients were divided into 4 groups (low transport, low average transport, high average transport and high transport). Spearman correlation analysis was used to analyze the related factors of D/Pcr (4h). The risk factors of high peritoneal transport characteristics were analyzed by ordered multi classification logistic regression. Results A total of 647 patients were included. The average age of the patients was (45.85±14.03) years, and the average D/Pcr (4h) was 0.67±0.12. Among them, there were 89 cases (13.76%) in the high transport group, 280 cases (43.28%) in the high average transport group, 234 cases (36.17%) in the low average transport group and 44 cases (6.80%) in the low transport group. Diabetic patients with D/Pcr (4h) were higher than those without diabetes mellitus (0.72±0.12 vs. 0.66±0.12; t=?4.005, P<0.001). Correlation analysis showed that age and 24-h urine volume were positively correlated with D/Pcr (4h); serum albumin, triglyceride, potassium, calcium, magnesium, phosphorus, hemoglobin, serum uric acid and creatinine were negatively correlated with D/Pcr (4h); body surface area (BSA), high sensitivity C-reactive protein, ferritin, cholesterol, sodium, intact parathyroid hormone and estimated giomerular filtration rate had no correlation with D/Pcr (4h). Regression analysis showed that serum albumin [odds ratio (OR)=0.842, 95% confidence interval (CI) (0.809, 0.877), P<0.001], serum uric acid [OR=0.996, 95%CI (0.994, 0.998), P<0.001], magnesium [OR=0.389, 95%CI (0.156, 0.965), P=0.042], BSA [OR=3.916, 95%CI (1.121, 13.680), P=0.032] were correlated with the incidence of peritoneal high transport characteristics. Conclusion Low serum albumin, high BSA, low magnesium and low serum uric acid were independent risk factors for high transport characteristics in initial PD patients.
Acute kidney injury (AKI) presents as a sharp decline in renal function caused by a variety of reasons. It is a severe clinical challenge affecting multiple organs and multiple systems, with high mortality. Continuous renal replacement therapy (CRRT) plays an important role in the treatment of AKI. Limited by the lack of evidence, the timing of CRRT for AKI remains ambiguous. This article reviews the definition and grading of AKI, the indication and the timing of initiation/termination of CRRT for AKI .
Chronic kidney disease (CKD) has become a global public health problem because of its high prevalence, low awareness, poor prognosis, and high medical costs. Effective follow-up management can facilitate timely adjustment of the treatment of the CKD patients and delay the disease progression. The application of internet of things (IoT) technology in dynamic monitoring and telemedicine is helpful for the self-management of patients with chronic diseases, and can provide convenient, intelligent, and humanized medical and health services. In the future, with the rapid growth of demands of CKD management and innovations in information technology, new medical IoT industry will accelerate the intelligent development of CKD management. Multi-disciplinary and multi-industrial collaboration should be promoted to solve current challenges, such as evaluation of actual effectiveness, the system design and construction, and the accessibility of intelligent healthcare services, to ensure that IoT products can improve clinical outcomes, reduce medical expenditure, and lower disease burden.
Continuous renal replacement therapy (CRRT) is one of the major treatments for critically ill patients. With the development of information technology, the informatization and artificial intelligent of CRRT has received wide attention, which has promoted the optimization of CRRT in terms of workflow, teaching method as well as scientific research. Benefiting from the big data generated, artificial intelligence is expected to be applied in the precision treatment, quality control, timing of intervention, as well as prognosis assessment in severe AKI, so as to ultimately improve the therapeutic effect of CRRT among critically ill patients. This paper summarizes the information construction of CRRT and the research progress of artificial intelligence, which can be used as a reference for practitioners in kidney disease, critical medicine, emergency medicine and other related fields.