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Hu YH, Liu YL, Meng LF, Zhang YX, Cui WP. Selection of dialysis methods for end-stage kidney disease patients with diabetes. World J Diabetes 2024; 15:1862-1873. [DOI: 10.4239/wjd.v15.i9.1862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/03/2024] [Accepted: 07/29/2024] [Indexed: 08/27/2024] Open
Abstract
The increasing prevalence of diabetes has led to a growing population of end-stage kidney disease (ESKD) patients with diabetes. Currently, kidney transplantation is the best treatment option for ESKD patients; however, it is limited by the lack of donors. Therefore, dialysis has become the standard treatment for ESKD patients. However, the optimal dialysis method for diabetic ESKD patients remains controversial. ESKD patients with diabetes often present with complex conditions and numerous complications. Furthermore, these patients face a high risk of infection and technical failure, are more susceptible to malnutrition, have difficulty establishing vascular access, and experience more frequent blood sugar fluctuations than the general population. Therefore, this article reviews nine critical aspects: Survival rate, glucose metabolism disorder, infectious complications, cardiovascular events, residual renal function, quality of life, economic benefits, malnutrition, and volume load. This study aims to assist clinicians in selecting individualized treatment methods by comparing the advantages and disadvantages of hemodialysis and peritoneal dialysis, thereby improving patients’ quality of life and survival rates.
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Affiliation(s)
- Yao-Hua Hu
- Department of Nephrology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - Ya-Li Liu
- Department of Nephrology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - Ling-Fei Meng
- Department of Nephrology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - Yi-Xian Zhang
- Department of Nephrology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - Wen-Peng Cui
- Department of Nephrology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
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Xing H, Gu S, Li Z, Wei XE, He L, Liu Q, Feng H, Wang N, Huang H, Fan Y. Incorporation of Chest Computed Tomography Quantification to Predict Outcomes for Patients on Hemodialysis with COVID-19. KIDNEY DISEASES (BASEL, SWITZERLAND) 2024; 10:284-294. [PMID: 39131882 PMCID: PMC11309758 DOI: 10.1159/000539568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 05/26/2024] [Indexed: 08/13/2024]
Abstract
Introduction Patients undergoing maintenance hemodialysis are vulnerable to coronavirus disease 2019 (COVID-19), exhibiting a high risk of hospitalization and mortality. Thus, early identification and intervention are important to prevent disease progression in these patients. Methods This was a two-center retrospective observational study of patients on hemodialysis diagnosed with COVID-19 at the Lingang and Xuhui campuses of Shanghai Sixth People's Hospital. Patients were randomized into the training (130) and validation cohorts (54), while 59 additional patients served as an independent external validation cohort. Artificial intelligence-based parameters of chest computed tomography (CT) were quantified, and a nomogram for patient outcomes at 14 and 28 days was created by screening quantitative CT measures, clinical data, and laboratory examination items, using univariate and multivariate Cox regression models. Results The median dialysis duration was 48 (interquartile range, 24-96) months. Age, diabetes mellitus, serum phosphorus level, lymphocyte count, and chest CT score were identified as independent prognostic indicators and included in the nomogram. The concordance index values were 0.865, 0.914, and 0.885 in the training, internal validation, and external validation cohorts, respectively. Calibration plots showed good agreement between the expected and actual outcomes. Conclusion This is the first study in which a reliable nomogram was developed to predict short-term outcomes and survival probabilities in patients with COVID-19 on hemodialysis. This model may be helpful to clinicians in treating COVID-19, managing serum phosphorus, and adjusting the dialysis strategies for these vulnerable patients to prevent disease progression in the context of COVID-19 and continuous emergence of novel viruses.
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Affiliation(s)
- Haifan Xing
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sijie Gu
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ze Li
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-er Wei
- Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li He
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiye Liu
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haoran Feng
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Niansong Wang
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hengye Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Fan
- Department of Nephrology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Duan DF, Wen Y, Yan Y, Li L, Xiao X, Li X, Yan LJ, Ma DY. Chinese Healthcare Workers' Knowledge, Attitudes, and Practices in Diabetic Kidney Management: A Multi-Centered Cross-Sectional Study. Risk Manag Healthc Policy 2024; 17:1211-1225. [PMID: 38742137 PMCID: PMC11090199 DOI: 10.2147/rmhp.s354549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 04/27/2024] [Indexed: 05/16/2024] Open
Abstract
Background Given the importance of diabetic kidney disease (DKD) management, this study aims to explore the knowledge, attitudes, and practices in disease management demonstrated by healthcare workers from the nephrology department. Materials and Methods This study is a multi-centered cross-sectional study, and adopts snowball sampling, with 530 healthcare workers being recruited to complete a questionnaire covering areas such as demographic characteristics, knowledge, attitude, and practices (KAP) of DKD management. This data was analyzed using descriptive statistics and binary logistics analysis. Results In this study, 530 healthcare workers were studied, including 94 doctors and 436 nurses. The participants were mainly from general tertiary hospitals in 14 provinces. For Chinese nurse, the results indicate that both poor knowledge level (Odds Ratio (OR) =0.63, 95% Confidence Interval (CI): 0.42-0.94) and having experience in further medical training in nephrology (OR=1.92, 95% CI: 1.20-3.08) are associated with the practice levels. For Chinese doctors, having not experience in further medical training in nephrology (OR=0.36, 95% CI: 0.15-0.83) are associated with their practice levels. Conclusion In summary, Chinese doctors and nurses in this study showed positive attitudes towards DKD management, but their knowledge and practical skills were lacking. This underscores a notable gap in achieving optimal DKD care. Notably, nurses' knowledge influenced their management practices, and additional nephrology training correlated with better engagement. To improve patient care, enhancing nephrology healthcare professional training and addressing knowledge-practice disparities are recommended.
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Affiliation(s)
- Di-fei Duan
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University /West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Yue Wen
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University /West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Yu Yan
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University /West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Ling Li
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Xiang Xiao
- West China School of Medicine, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Xing Li
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University /West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Lin-Jia Yan
- The Nethersole School of Nursing Faculty of Medicine, The Chinese University of Hong Kong, Hongkong, People’s Republic of China
| | - Deng-Yan Ma
- Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University /West China School of Nursing, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
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Brahmbhatt S, Mikalachki A, Lawrence JA, Blackwell L, Bleah P, Khan Y, Tung TH, Austin K, Craig L, Clemens KK. Supporting Type 1 and Type 2 Diabetes Care in the Hemodialysis Unit: A Quality-improvement Initiative Throughout the COVID-19 Pandemic. Can J Diabetes 2024; 48:3-9.e7. [PMID: 37549869 DOI: 10.1016/j.jcjd.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/18/2023] [Accepted: 07/31/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE People living with diabetes mellitus (DM) and chronic kidney disease can have difficulty attending multiple appointments to receive DM care. We developed and studied the utility of a DM outreach program to offer in the hemodialysis (HD) unit. METHODS We conducted a quality improvement project in a satellite HD unit in London, Ontario, Canada, between August 1, 2019, and July 31, 2022. We assessed for baseline gaps in DM care among those with DM, performed root-cause analysis with key stakeholders to identify critical drivers of gaps, and conceptualized a certified diabetes educator-led outreach program to offer in the HD unit. We aimed to improve DM self-monitoring, hypo- and hyperglycemia, and DM-related screening. We used run and control charts to track outcome measures over time and modified our outreach program iteratively. RESULTS Fifty-eight persons with DM receiving HD participated in our program. Support spanned multiple waves of the COVID-19 pandemic. With 4 tests of change, we observed improvement in DM self-monitoring with a modest decline in self-reported hyperglycemia. There were no adverse consequences, and satisfaction with our program was high. CONCLUSIONS Although we did not meet all measures of success during the pandemic, outreach DM support in the HD unit appeared to improve self-monitoring and self-reported hyperglycemia. Similar programs could be modified and implemented in other centres.
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Affiliation(s)
- Shaily Brahmbhatt
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Amanda Mikalachki
- Primary Care Diabetes Support Program, St. Joseph's Health Care London, London, Ontario, Canada
| | - Julie Ann Lawrence
- Regional Renal Program, London Health Sciences Centre, London, Ontario, Canada
| | - Lindsay Blackwell
- Regional Renal Program, London Health Sciences Centre, London, Ontario, Canada
| | | | - Yumna Khan
- Lawson Health Research Institute, London, Ontario, Canada; Thames Valley Family Health Team, London, Ontario, Canada
| | - Tsan-Hua Tung
- Centre for Quality, Innovation and Patient Safety, Western University, London, Ontario, Canada
| | - Kathy Austin
- Regional Renal Program, London Health Sciences Centre, London, Ontario, Canada
| | - Laura Craig
- Regional Renal Program, London Health Sciences Centre, London, Ontario, Canada
| | - Kristin K Clemens
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Centre for Quality, Innovation and Patient Safety, Western University, London, Ontario, Canada; Division of Endocrinology and Metabolism, Western University, Department of Medicine, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada; ICES, Ontario, Canada.
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Agarwal S, Gillis L, Wilkie M. Peritoneal Dialysis Care for People with Diabetes, Polycystic Kidney Disease, or Advanced Liver Disease. Clin J Am Soc Nephrol 2024:01277230-990000000-00331. [PMID: 38190135 DOI: 10.2215/cjn.0000000000000420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/22/2023] [Indexed: 01/09/2024]
Abstract
People treated with peritoneal dialysis (PD) often have complicating conditions that require careful management. Three such conditions are reviewed in this article-diabetes mellitus, polycystic kidney disease, and chronic liver disease. Each of these conditions requires an understanding of both its effect on the delivery of the PD and the effect of the PD on the condition itself. In diabetes, glucose absorption from the dialysate complicates metabolic control and affects salt and water management and patient outcome. There is particular benefit in clinical care being delivered through a multidisciplinary team that involves both kidney and diabetes experts. In relation to polycystic kidney disease, a key issue is the potential for increased intraperitoneal pressure due to the combined effect of the enlarged polycystic organs and the presence of the dialysis solution, and therefore, the PD prescription requires to be managed with a particular focus on limiting that pressure. For patients with liver disease, key issues include nutritional support because PD can add to protein losses already consequent on the liver disease itself. Considered approaches are required to manage ascites and reduce infection risk and the potential for hernias and leaks to develop. Mortality in this group is unfortunately high-however, PD may present a better management option than hemodialysis in many patients-particularly in those where the liver disease is complicated by low BP, clotting abnormalities, or troublesome ascites. Overall, the choice to use PD in patients with these complicating conditions should be based on shared decision making with the patient and their family members informed by high-quality information in which risks, benefits, and management strategies are clearly presented.
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Affiliation(s)
- Shailesh Agarwal
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom
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Kim SS, Kim HS. Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data. J Pers Med 2023; 14:42. [PMID: 38248743 PMCID: PMC10820538 DOI: 10.3390/jpm14010042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/25/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
This study aimed to examine comorbidity associations across age groups of inpatients with endocrine diseases as the primary diagnosis throughout the life cycle to develop an effective management strategy. Data were obtained from the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) from 2006 to 2021, involving 68,515 discharged patients aged ≥ 19 years with a principal diagnosis of endocrine disease. A database was constructed for analysis, extracting general characteristics and comorbidities. Employing R version 4.2.3, the Chi-squared test and the Apriori algorithm of ARM (association rule mining) were used for analyzing general characteristics and comorbidity associations. There were more women (53.1%) than men (46.9%) (p < 0.001, with women (61.2 ± 17.2) having a higher average age than men (58.6 ± 58.6) (p < 0.001). Common comorbidities include unspecified diabetes mellitus; essential (primary) hypertension; unspecified diabetes mellitus; and other disorders of fluid, electrolyte, and acid-base balance. Notably, type 2 diabetes mellitus, disorders of lipoprotein metabolism and other lipidemia, polyneuropathy in diseases classified elsewhere, retinal disorders in diseases classified elsewhere, and essential (primary) hypertension prevail across all age groups. Association rules further highlight specific comorbidities appearing selectively in certain age groups. In conclusion, establishing a management strategy for comorbidities in patients with a primary diagnosis of an endocrine disorder is necessary.
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Affiliation(s)
- Sung-Soo Kim
- Department of Healthcare Management, Cheongju University, Cheongju 28503, Republic of Korea;
| | - Hun-Sung Kim
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
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He R, Xuan Y, Zhu L, Pang S, Qin L, Tian J, Yuan J. Low Blood Glucose Index Associated with Cardiovascular Events in Diabetic Hemodialysis Patients. Blood Purif 2023; 52:824-834. [PMID: 37607516 DOI: 10.1159/000531964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/29/2023] [Indexed: 08/24/2023]
Abstract
INTRODUCTION Blood glucose monitoring was vitally important in diabetic kidney disease (DKD) patients for preventing complications and improving survival rates. The associations between glycemic variability and blood biochemical indicators were underestimated in patients with DKD undergoing hemodialysis. Therefore, we primarily aimed to investigate the glycemic variability and 1-year risk of cardiovascular disease events in diabetic hemodialysis patients. And we secondarily aimed to explore the association between glycemic variability and blood biochemical indicators. METHODS In total, 27 patients were included in the final analysis. Continuous glucose monitoring (CGM) was used to evaluate glucose variability for 14 days. Patients were divided into two groups by the cutoff level of time in range (TIR; >70% or ≤70%). The three-point major adverse cardiovascular event (3P MACE) was recorded within 1 year. RESULTS After 1 year of follow-up, 4 patients in the high-TIR group and 3 patients in the low-TIR group had 3p MACE. Higher low blood glucose index (LBGI) level in diabetic hemodialysis patients increased the risk of 3p MACE outcomes (HR = 2.37, p = 0.018). And the level of albumin was positively associated with LBGI (β = 0.51, p = 0.036). The plasma levels of albumin, glycosylated hemoglobin, and hemoglobin were positively associated with other CGM parameters. CONCLUSION LBGI during 14 days was positively associated with the risk of cardiovascular events in diabetic hemodialysis patients.
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Affiliation(s)
- Ruibin He
- The Baoshan Branch of Renji Hospital, Department of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China,
| | - Yingli Xuan
- The Baoshan Branch of Renji Hospital, Department of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Lingling Zhu
- Daning Community Health Service Center, Shanghai, China
| | - Shiqing Pang
- The Baoshan Branch of Renji Hospital, Department of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Li Qin
- The Baoshan Branch of Renji Hospital, Department of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Jingyan Tian
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiangzi Yuan
- The Baoshan Branch of Renji Hospital, Department of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
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