Keynote Forum
P Umesh Prabhu
Edge Hill University, United Kingdom
Keynote: Patient safety in nephrology
Time : 09:45-10:30
May 20-21, 2019
London, UK
Edge Hill University, United Kingdom
Time : 09:45-10:30
Cardiff University, United Kingdom
Time : 14:30-15:10
University of Pisa, Italy
Time : 15:10-15:50
Capital Medical University, China
Time : 10:30-11:20
Capital Medical University, China
Time : 11:40-12:30
Capital Medical University, China
Time : 12:30-13:20
Xue-Lian Zhang is from the Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
Chi-Mei Medical Center, Taiwan
Dr. Chien Chih-Chiang, Associate Professor and attending physician, department of nephrology, Chi-Mei Medical Center, Taiwan. He grew up in Taichung, Taiwan and received his Bachelor`s degree of medicine from the Chung Shan Medical University in 2001. After graduation, he received resident physician and fellow physician training in division of nephrology, department of internal medicine, Taipei Veterans General Hospital, Taiwan. Since 2006, he works as an attending physician in department of nephrology, Chi-Mei Medical Center, Taiwan. In the meantime, he began his life long investigation of epidemiology and mortality of patients with end-stage renal disease and dialysis.
The worldwide elderly dialysis population has grown significantly and is expected to have more comorbid conditions and shorter life expectancies than the general elderly population. Predicting outcomes for this population is important for decision-making. Our study is to examine the comorbidity index for outcome predictability in elderly dialysis patients. In this population-based cohort study, we enrolled elderly patients who started maintenance dialysis in Taiwan. Further analyses of all-cause mortality and life expectancy in these groups with different comorbidity index score were performed. As results, a total of 21,043 incident dialysis patients divided into 4 groups by the comorbidity index score (intervals ≤ 3, 4-6, 7-9, ≥ 10) were analyzed. During a 10-year follow-up, 11272 (53.55%) patients died. Kaplan-Meier curves showed significant survival differences between groups (log-rank: P < 0.001). After stratification by age, life expectancy was significantly longer in groups with lower the comorbidity index scores. In conclusion, the comorbidity index is a strong predictor of mortality in elderly dialysis patients.
Chi-Mei Medical Center, Taiwan
End-stage renal disease (ESRD) and chronic liver disease (CLD) both increase the risk for upper gastrointestinal (UGI) bleeding. The prevalence of ESRD and CLD are high in Taiwan. The aim of this study was to evaluate the incidence, risk factors, and categories of UGI bleeding in ESRD dialysis patients. We enrolled 42,457 incident ESRD incident dialysis patients. These patients were followed until death, dialysis cessation, or end of database. Cumulative incidence of UGI bleeding after initiation of dialysis was calculated using Kaplan-Meier methods. Predictors for UGI bleeding were determined using Cox models. During the follow-up period, 5,528 patients had a UGI bleeding. Male, elderly, receiving hemodialysis (HD) and patient with comorbidities had a higher rate of UGI bleeding. The 1-, 3-, 5- and 7-year cumulative incidence rate of UGI bleeding were 9.8%, 21%, 25.3% and 28% in patients with liver cirrhosis (LC) on HD, 5.8%, 16.2%, 22.2% and 24.4% in patients with LC on PD, 3.7%, 9.2%, 13.2% and 16.4% in patients without LC on HD, and 2.1%, 5.5%, 8.2% and 10.4% in patients without LC on PD (log-rank: p <0.001). After multivariate adjustment, prior gastrointestinal bleeding (HR 1.731, 95% CI, 1.635-1.834), LC (1.682, 95% CI, 1.524-1.856), alcoholism liver disease (1.536, 95% CI, 1.635-1.834), and receiving HD (1.316, 95% CI, 1.153-1.502) were independently risks for UGI bleeding in ESRD dialysis patient. Gastric ulcers were found to be the most common source of bleeding (50.3%), while bleeding resulting from a gastrojejunal ulcer was least frequent. In conclusion, ESRD dialysis patients had a higher risk for UGI bleeding, especially those with prior gastrointestinal bleeding, LC, and alcoholism liver disease. In addition, receiving HD is a strong predictor for UGI bleeding. More attention should be paid to select dialysis modality, especially in high risk patients.
Chi-Mei Medical Center, Taiwan
Chia-Ying Lin, Nurse Practitioner, Department of internal medicine, Chi-Mei Medical Center, Taiwan. She grew up in Tainan City, Taiwan, and graduated from National Cheng Kung University in 2005 with a major in Nursing. After graduation, she works in a cardiology ward as a nurse in National Cheng Kung Hospital, Taiwan, 2005-2007. Since 2007 she has been working in the department of internal medicine, Chi-Mei Medical Center, Taiwan, as a Nurse Practitioner. In the meantime, she is devoted to the nursing care for patients with end-stage renal disease on dialysis.
Goa Engineering College
Sapna Chandgadkar is a master’s Student at Goa Engineering College. She is working with Dr Virani, HOD, Electronics Engineering and Dr Mahaldar, HOD, Nephrology, Manipal Hospital. Their research focuses on improving the quality of life of patient on hemodialysis, in emerging markets. The objective is to develop a Markov Model of the interventions that could help patients on Hemodialysis to improve their fitness levels a step at a time.
People with End Stage Kidney Disease (ESKD) on Hemodialysis (HD) experience multiple catabolic processes, including loss of albumin and amino acids during dialysis, metabolic derangements, and changes in skeletal muscle associated with conditions of muscle disuse. These changes result in muscle atrophy (loss of lean muscle mass). The presence of neurogenic (muscle atrophy or loss associated with nerve disorder), myogenic (damage intrinsic to the muscle), and mixed (neurogenic and myogenic) changes intrinsic to the skeletal muscle in people with ESKD on HD may further compromise the integrity of the motor-unit complex and contribute to muscle atrophy. The paper is a systematic review of the interventions to improve fitness levels of patients on maintenance HD. The results of the meta-analysis indicate the following: The survival of patients on maintenance haemodialysis is increased by improving their physical performance. Chronic Dyspnoea is one of the most common symptoms of patients on haemodialysis and is intractable to therapy due to its multifactorial origin. Dyspnoea is due to systemic inflammation and is caused by a combination of – anaemia, malnutrition and muscle wasting. The 6-minute walk test can be used to classify patients into various fitness levels as an OPD procedure and help patients get an objective evaluation of their fitness
Imperial College Healthcare NHS Trust & Your Diet Matters, United Kingdom 10:
Time : 10:00-10:40
Chronic Illness Recovery, USA
Time : 10:40-11:20
Cardiff University, United Kingdom
Time : 14:00-14:30
Federal Central Tuberculosis Research Institute, Russia
Time : 14:30-15:00
Ministry of Education, Syrian Arab Republic
Time : 15:35-16:05
Warwick Medical School, United Kingdom
Time : 16:05-16:35