Search
Search
Close this search box.

Risk factors for short-term all-cause mortality in patients with end stage renal disease: a scoping review – BMC Nephrology

  • Tong A, Cheung KL, Nair SS, Kurella Tamura M, Craig JC, Winkelmayer WC. Thematic synthesis of qualitative studies on patient and caregiver perspectives on end-of-life care in CKD. (1523–6838 (Electronic)).

  • Thurlow JS, Joshi M, Yan G, Norris KC, Agodoa LY, Yuan CM, Nee R. Global epidemiology of end-stage kidney disease and disparities in kidney replacement therapy. (1421–9670 (Electronic)).

  • Eckardt KU, Coresh J, Fau – Devuyst O, Devuyst O, Fau – Johnson RJ, Johnson Rj Fau – K√∂ttgen A, K√∂ttgen A Fau – Levey AS, Levey As Fau – Levin A, Levin A. Evolving importance of kidney disease: from subspecialty to global health burden. (1474-547X (Electronic)).

  • Cockwell P, Fisher LA. The global burden of chronic kidney disease. (1474-547X (Electronic)).

  • Axelsson L, Alvariza A, Lindberg J, √ñhl√©n J, H√•kanson C, Reimertz H, F√ºrst CJ, √Örestedt K. Unmet Palliative Care Needs Among Patients With End-Stage Kidney Disease: A National Registry Study About the Last Week of Life. (1873–6513 (Electronic)).

  • Metzger M, Yoder J, Fitzgibbon K, Blackhall L, Abdel-Rahman E. Nephrology and Palliative Care Collaboration in the Care of Patients With Advanced Kidney Disease: Results of a Clinician Survey. (2590– 0595 (Electronic)).

  • Kidney palliative care.: Principles, benefits, and core components [https://www.uptodate.com/contents/kidney-palliative-care-principles-benefits-and-core-components].

  • Hawley P. Barriers to Access to Palliative Care. (1178–2242 (Print)).

  • Fassett RG, Robertson Ik Fau -, Mace R, Mace R, Fau – Youl L, Youl L, Fau – Challenor S, Challenor S, Fau – Bull R, Bull R. Palliative care in end-stage kidney disease. (1440–797 (Electronic)).

  • Avati A, Jung K, Harman S, Downing L, Ng A, Shah NH. Improving palliative care with deep learning. (1472–6947 (Electronic)).

  • Kurella Tamura M, O’Hare AM, Lin E, Holdsworth LM, Malcolm E, Moss AH. Palliative Care Disincentives in CKD: Changing Policy to Improve CKD Care. (1523–6838 (Electronic)).

  • Dumanovsky T, Augustin R, Rogers M, Lettang K, Meier DE, Morrison RS. The Growth of Palliative Care in U.S. Hospitals: A Status Report. (1557–7740 (Electronic)).

  • Kawashima A, Evans CJ. Needs-based triggers for timely referral to palliative care for older adults severely affected by noncancer conditions: a systematic review and narrative synthesis. (1472-684X (Electronic)).

  • Thorsteinsdottir B, Swetz KA-O, Albright RC. The Ethics of Chronic Dialysis for the Older Patient: Time to Reevaluate the Norms. (1555-905X (Electronic)).

  • Russ AJ, Kaufman SR. Discernment rather than decision-making among elderly dialysis patients. (1525-139X (Electronic)).

  • Chan CT, Blankestijn PJ, Dember LM, Gallieni M, Harris DCH, Lok CE, Mehrotra R, Stevens PE, Wang AY-M, Cheung M et al. Dialysis initiation, modality choice, access, and prescription: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney International 2019, 96(1):37–47.

  • Williams AW, Dwyer Ac Fau -, Eddy AA, Eddy Aa Fau – Fink JC. Fink Jc Fau – Jaber BL, Jaber Bl Fau – Linas SL, Linas Sl Fau – Michael B, Michael B Fau – O’Hare AM, O’Hare Am Fau – Schaefer HM, Schaefer Hm Fau – Shaffer RN, Shaffer Rn Fau – Trachtman H: Critical and honest conversations: the evidence behind the Choosing Wisely campaign recommendations by the American Society of Nephrology. (1555-905X (Electronic)).

  • Davison SN, Levin A, Moss AH, Jha V, Brown EA, Brennan F, Murtagh FE, Naicker S, Germain MJ, O’Donoghue DJ et al. Executive summary of the KDIGO Controversies Conference on Supportive Care in Chronic Kidney Disease: developing a roadmap to improving quality care. (1523–1755 (Electronic)).

  • Keough-Ryan T, Hutchinson T, Fau – MacGibbon B, MacGibbon B, Fau – Senecal M, Senecal M. Studies of prognostic factors in end-stage renal disease: an epidemiological and statistical critique. (1523–6838 (Electronic)).

  • Cheung KL, Montez-Rath ME, Chertow GM, Winkelmayer WC, Periyakoil VS, Kurella Tamura M. Prognostic stratification in older adults commencing dialysis. (1758-535X (Electronic)).

  • Dialysis. [https://www.kidney.org/atoz/content/dialysisinfo].

  • O’Connor NR, Kumar P. Conservative management of end-stage renal disease without dialysis: a systematic review. (1557–7740 (Electronic)).

  • Wachterman MW, Marcantonio Er Fau -, Davis RB. Davis Rb Fau – Cohen RA, Cohen Ra Fau – Waikar SS, Waikar Ss Fau – Phillips RS, Phillips Rs Fau – McCarthy EP, McCarthy EP: relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists. (2168–6114 (Electronic)).

  • O’Halloran P, Noble H, Norwood K, Maxwell P, Shields J, Fogarty D, Murtagh F, Morton R, Brazil K. Advance Care Planning With Patients Who Have End-Stage Kidney Disease: A Systematic Realist Review. (1873–6513 (Electronic)).

  • Song YH, Cai GY, Xiao YF, Chen XM. Risk factors for mortality in elderly haemodialysis patients: a systematic review and meta-analysis. (1471–2369 (Electronic)).

  • Zhang J, Lu X, Li H, Wang S. Risk factors for mortality in patients undergoing peritoneal dialysis: a systematic review and meta-analysis. (1525–6049 (Electronic)).

  • Ma L, Zhao S. Risk factors for mortality in patients undergoing hemodialysis: A systematic review and meta-analysis. (1874– 1754 (Electronic)).

  • Hansrivijit P, Chen YJ, Lnu K, Trongtorsak A, Puthenpura MM, Thongprayoon C, Bathini T, Mao MA, Cheungpasitporn W. Prediction of mortality among patients with chronic kidney disease: a systematic review. (2220–6124 (Print)).

  • Anderson RT, Cleek H, Pajouhi AS, Bellolio MF, Mayukha A, Hart A, Hickson LA-OX, Feely MA, Wilson ME, Giddings Connolly RM et al. Prediction of risk of death for patients starting Dialysis: a systematic review and Meta-analysis. (1555-905X (Electronic)).

  • Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Article 

    Google Scholar
     

  • Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):69.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. (1539–3704 (Electronic)).

  • Riley RA-O, Moons KGM, Snell KIE, Ensor J, Hooft L, Altman DG, Hayden J, Collins GS, Debray TPA. A guide to systematic review and meta-analysis of prognostic factor studies. (1756–833 (Electronic)).

  • Covidence systematic review software., Veritas Health Innovation, Melbourne, Australia [www.covidence.org ].

  • Hayden JA, van der Windt Da Fau -, Cartwright JL, Cartwright Jl Fau – C√¥t√© P, C√¥t√© P Fau – Bombardier C, Bombardier C. Assessing bias in studies of prognostic factors. (1539–3704 (Electronic)).

  • Artru FA-O, Louvet A, Glowacki F, Bellati S, Frimat M, Gomis S, Castel H, Barthelon J, Lassailly G, Dharancy S et al. The prognostic impact of cirrhosis on patients receiving maintenance haemodialysis. (1365–2036 (Electronic)).

  • Arrigo M, Von Moos S, Gerritsen K, Sadoune M, Tangvoraphonkchai K, Davenport A, Mebazaa A, Segerer S, Cippà PE. Soluble CD146 and B-type natriuretic peptide dissect overhydration into functional components of prognostic relevance in haemodialysis patients. (1460–2385 (Electronic)).

  • Antunovic T, Stefanovic A, Gligorovic Barhanovic N, Miljkovic M, Radunovic D, Ivanisevic J, Prelevic V, Bulatovic N, Ratkovic M, Stojanov M. Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up. (1525–6049 (Electronic)).

  • Borges MC, Vogt BP, Martin LC, Caramori JC. Malnutrition inflammation score cut-off predicting mortality in maintenance hemodialysis patients. (2405–4577 (Electronic)).

  • Balbino KA-O, Juvanhol LL, Epif√¢nio APS, Marota LD, Bressan J, Hermsdorff HHM. Dietary intake as a predictor for all-cause mortality in hemodialysis subjects (NUGE-HD study). (1932–6203 (Electronic)).

  • Li WY, Wang YC, Hwang SJ, Lin SH, Wu KD, Chen YM. Comparison of outcomes between emergent-start and planned-start peritoneal dialysis in incident ESRD patients: a prospective observational study. (1471–2369 (Electronic)).

  • Lee SY, Yang DH, Hwang E, Kang SH, Park SH, Kim TW, Lee DH, Park K, Kim JC. The Prevalence, Association, and clinical outcomes of Frailty in maintenance Dialysis patients. (1532–8503 (Electronic)).

  • Strålberg T, Nordenskjöld A, Cao Y, Kublickiene K, Nilsson EA-O. Proprotein convertase subtilisin/kexin type 9 and mortality in patients starting hemodialysis. (1365–2362 (Electronic)).

  • Shah S, Leonard AC, Meganathan K, Christianson AL, Thakar CV. Temporal Trends in Incident Mortality in Dialysis Patients: Focus on Sex and Racial Disparities. (1421–9670 (Electronic)).

  • Shah SA-O, Leonard AC, Thakar CV. Functional status, pre-dialysis health and clinical outcomes among elderly dialysis patients. (1471–2369 (Electronic)).

  • Shah SA-O, Meganathan K, Christianson AL, Leonard AC, Thakar CV. Pre-dialysis acute care hospitalizations and clinical outcomes in dialysis patients. (1932–6203 (Electronic)).

  • Sueta DA-O, Tabata N, Tanaka M, Hanatani S, Arima Y, Sakamoto K, Yamamoto E, Izumiya Y, Kaikita K, Arizono K et al. Associations between corrected serum calcium and phosphorus levels and outcome in dialysis patients in the Kumamoto Prefecture. (1542–4758 (Electronic)).

  • Sueta D, Hokimoto S, Sakamoto K, Akasaka T, Tabata N, Kaikita K, Honda O, Naruse M, Ogawa H. Validation of the high mortality rate of malnutrition-inflammation-atherosclerosis syndrome: -Community-based observational study. (1874– 1754 (Electronic)).

  • Soleymanian T, Kokabeh Z, Ramaghi R, Mahjoub A, Argani H. Clinical outcomes and quality of life in hemodialysis diabetic patients versus non-diabetics. (2251–8363 (Print)).

  • Saglimbene V, Palmer S, Scardapane M, Craig JC, Ruospo M, Natale P, Gargano L, Leal M, Bednarek-Skublewska A, Dulawa J et al. Depression and all-cause and cardiovascular mortality in patients on haemodialysis: a multinational cohort study. (1460–2385 (Electronic)).

  • Komaru Y, Yoshida T, Hamasaki Y, Nangaku M, Doi K. Hierarchical Clustering Analysis for Predicting 1-Year Mortality After Starting Hemodialysis. (2468– 0249 (Electronic)).

  • Kawagoe C, Sato Y, Toida T, Nakagawa H, Yamashita Y, Fukuda A, Iwatsubo S, Fujimoto S. N-terminal-pro-b-type-natriuretic peptide associated with 2-year mortality from both cardiovascular and non-cardiovascular origins in prevalent chronic hemodialysis patients. (1525–6049 (Electronic)).

  • Kamijo Y, Kanda E, Ishibashi Y, Yoshida M. Sarcopenia and Frailty in PD: Impact on Mortality, Malnutrition, and Inflammation. (1718–4304 (Electronic)).

  • Villa-Bellosta R, Rodriguez-Osorio L, Mas S, Abadi Y, Rubert M, de la Piedra C, Gracia-Iguacel C, Mahillo I, Ortiz A, Egido J et al. A decrease in intact parathyroid hormone (iPTH) levels is associated with higher mortality in prevalent hemodialysis patients. (1932–6203 (Electronic)).

  • Yang TL, Lin YC, Huang CY, Chen HH, Wu MS. Total bilirubin in prognosis for Mortality in End-Stage Renal Disease patients on peritoneal Dialysis therapy. LID– 10.1161/JAHA.117.007507 [doi] LID – e007507. (2047–9980 (Electronic)).

  • Ye X, Kooman JP, van der Sande FM, Canaud B, Stuard S, Etter M, Xu X, Marelli C, Guinsburg A, Power A et al. Increased Mortality Associated with Higher Pre-Dialysis Serum Sodium Variability: Results of the International MONitoring Dialysis Outcome Initiative. (1421–9670 (Electronic)).

  • Ye X, Dekker MJE, Maddux FW, Kotanko P, Konings C, Raimann JG, van der Sande FM, Usvyat LA, Kooman JP, Thijssen S. Dynamics of Nutritional competence in the last year before death in a large cohort of US Hemodialysis patients. (1532–8503 (Electronic)).

  • Grzegorzewska AE, Swiderska MK, Warchol W. Interferon-Œª3 as a predictor of Survival in Hemodialysis patients. (1875–5666 (Electronic)).

  • Gatate Y, Nakano S, Mizuno Y, Muramatsu T, Senbonmatsu T, Nishimura S, Kono R, Kaneko K, Miura Y, Kuro OM. Mid-term predictive value of calciprotein particles in maintenance hemodialysis patients based on a gel-filtration assay. (1879– 1484 (Electronic)).

  • Griva KA-O, Yoong RKL, Nandakumar M, Rajeswari M, Khoo EYH, Lee VYW, Kang AWC, Osborne RA-O, Brini S, Newman SP. Associations between health literacy and health care utilization and mortality in patients with coexisting diabetes and end-stage renal disease: a prospective cohort study. (2044–8287 (Electronic)).

  • Gómez de la Torre-Del, Carpio A, Bocanegra-Jesús A, Guinetti-Ortiz K, Mayta-Tristán P, Valdivia-Vega R. Early mortality in patients with chronic kidney disease who started emergency haemodialysis in a Peruvian population: incidence and risk factors. (2013–2514 (Electronic)).

  • Deshpande R, Stepanova M, Golabi PA-O, Brown K, Younossi ZA-OX. Prevalence, mortality and healthcare utilization among Medicare beneficiaries with Hepatitis C in Haemodialysis units. (1365–2893 (Electronic)).

  • Wang Z, Yu C, Li XH, Deng BQ. The prognostic value of oxidative stress and inflammation in Chinese hemodialysis patients. (1525–6049 (Electronic)).

  • Obi Y, Nguyen DV, Zhou H, Soohoo M, Zhang L, Chen Y, Streja E, Sim JJ, Molnar MZ, Rhee CM et al. Development and Validation of Prediction Scores for Early Mortality at Transition to Dialysis. (1942–5546 (Electronic)).

  • Nielsen TL, Plesner LL, Warming PE, Mortensen OH, Iversen KK, Heaf JG. FGF23 in hemodialysis patients is associated with left ventricular hypertrophy and reduced ejection fraction. (2013–2514 (Electronic)).

  • Jiang J, Wang LH, Fei YY, Zhou XW, Peng L, Lan L, Ren W. Serum albumin at start of peritoneal Dialysis predicts long-term outcomes in Anhui Han patients on continuous ambulatory peritoneal Dialysis: a retrospective cohort study. (2296–9381 (Print)).

  • Ishii T, Taguri M, Tamura K, Oyama K. Evaluation of the Effectiveness of Xanthine Oxidoreductase Inhibitors on Haemodialysis Patients using a Marginal Structural Model. (2045–2322 (Electronic)).

  • Hsiao CC, Tu HT, Lin CH, Chen KH, Yeh YH, See LC. Temporal trends of severe hypoglycemia and subsequent mortality in patients with Advanced Diabetic kidney diseases transitioning to Dialysis. LID– 10.3390/jcm8040420 [doi] LID– 420. (2077– 0383 (Print)).

  • Price AM, Sarween N, Gupta I, Baharani J. Risk factors and short-term outcomes for methicillin-resistant Staphylococcus aureus and methicillin-sensitive Staphylococcus aureus colonization among hemodialysis patients. (1319–2442 (Print)).

  • Pike SL, Farber A, Arinze N, Levin S, Cheng TW, Jones DW, Tan TW, Malas M, Rybin D, Siracuse JJ. Patients with lower extremity dialysis access have poor primary patency and survival. (1097–6809 (Electronic)).

  • Park JM, Lee JA-O, Jang HM, Park Y, Kim YS, Kang SW, Yang CW, Kim NH, Kwon E, Kim HJ et al. Survival in patients on hemodialysis: Effect of gender according to body mass index and creatinine. (1932–6203 (Electronic)).

  • Shah S, Leonard AC, Meganathan K, Christianson AL, Thakar CV. Gender and racial disparities in initial Hemodialysis Access and outcomes in Incident End-Stage Renal Disease patients. (1421–9670 (Electronic)).

  • Rebollo Rubio A, Morales Asencio JM, Pons Raventos ME. Biomarkers associated with mortality in patients undergoing dialysis. (1755–6686 (Electronic)).

  • Bujang MA, Kuan PX, Sapri FE, Liu WJ, Musa R. Risk Factors for 3-Year-Mortality and a Tool to Screen Patient in Dialysis Population. (0971–4065 (Print)).

  • Zhou H, Sim JJ, Shi J, Shaw SF, Lee MS, Neyer JR, Kovesdy CP, Kalantar-Zadeh K, Jacobsen SJ. Œ≤-Blocker Use and Risk of Mortality in Heart Failure Patients Initiating Maintenance Dialysis. (1523–6838 (Electronic)).

  • Phang CC, Foo MWY, Johnson DW, Wu SY, Hao Y, Jayaballa M, Koniman R, Chan CM, Oei EL, Chong TT et al. Comparison of outcomes of urgent-start and conventional-start peritoneal dialysis: a single-centre experience. (1573–2584 (Electronic)).

  • Muzasti RA, Suhardjono D, Purwanto B, Sembiring RJ. Fetuin-A Thr256Ser gene polymorphism as a mortality predictor in patients with chronic kidney disease on maintenance haemodialysis in Medan. Indonesia. (1840–2445 (Electronic)).

  • Kanno A, Nakayama M, Sanada S, Sato M, Sato T, Taguma Y. Suboptimal initiation predicts short-term prognosis and vulnerability among very elderly patients who start haemodialysis. (1440–797 (Electronic)).

  • Zhou SJ, Cong YK, Han QF, Tang W, Wang T. Peritoneal dialysis outcomes in patients with nephrotic syndrome: a propensity score-matched cohort study. (1525–6049 (Electronic)).

  • Wang LSL-XZYLNDH-X. Effect of serum Hepcidin on Predicting Mortality in Hemodialysis patients: a prospective cohort study. Iran Red Cresent Med J. 2019;21(3):7.


    Google Scholar
     

  • Valente MA-O, Rocha S, Coimbra SA-O, Catarino C, Rocha-Pereira P, Bronze-da-Rocha EA-O, Oliveira JG, Madureira J, Fernandes JC. do Sameiro-Faria MA-O: Long Pentraxin 3 as a Broader Biomarker for Multiple Risk Factors in End-Stage Renal Disease: Association with All-Cause Mortality. (1466–1861 (Electronic)).

  • Dekker MJ, Marcelli D, Canaud BJ, Carioni P, Wang Y, Grassmann A, Konings CJ, Kotanko P, Leunissen KM, Levin NW et al. Impact of fluid status and inflammation and their interaction on survival: a study in an international hemodialysis patient cohort. (1523–1755 (Electronic)).

  • Dekker MJE, Konings C, Canaud B, van der Sande FM, Stuard S, Raimann JG, Öztürk E, Usvyat L, Kotanko P, Kooman JP. Interactions between malnutrition, inflammation, and Fluid overload and their associations with Survival in Prevalent Hemodialysis patients. (1532–8503 (Electronic)).

  • Toida TA-OX, Iwakiri T, Sato Y, Komatsu H, Kitamura K, Fujimoto S. Relationship between Hemoglobin Levels Corrected by Interdialytic Weight Gain and Mortality in Japanese Hemodialysis Patients: Miyazaki Dialysis Cohort Study. (1932–6203 (Electronic)).

  • Matsuzawa R, Kamitani T, Roshanravan B, Fukuma S, Joki N, Fukagawa M. Decline in the functional status and mortality in patients on Hemodialysis: results from the Japan Dialysis Outcome and practice patterns study. (1532–8503 (Electronic)).

  • Lorenz EC, Cosio FG, Bernard SL, Bogard SD, Bjerke BR, Geissler EN, Hanna SW, Kremers WK, Cheng Y, Stegall MD et al. The relationship between Frailty and decreased physical performance with death on the kidney transplant waiting list. (2164–6708 (Electronic)).

  • Shimamura YA-O, Maeda T, Fau – Abe K, Abe K, Fau – Takizawa H, Takizawa H. Association of blood pressure with mortality in hemodialysis patients with a tunneled cuffed catheter: a single-center observational study. (1536–5964 (Electronic)).

  • van Loon IN, Bots ML, Boereboom FTJ, Grooteman MPC, Blankestijn PJ, van den Dorpel MA, Nub√© MJ, Ter Wee PM, Verhaar MC, Hamaker ME. Quality of life as indicator of poor outcome in hemodialysis: relation with mortality in different age groups. (1471–2369 (Electronic)).

  • van Loon IN. Goto NA, Boereboom FTJ, Bots ML, Hoogeveen EK, Gamadia L, van Bommel EFH, van de Ven PJG, Douma CE, Vincent HH: Geriatric Assessment and the Relation with Mortality and Hospitalizations in Older Patients Starting Dialysis. (2235–3186 (Electronic)).

  • Assimon MM, Wang L, Flythe JE. Intradialytic Hypertension Frequency and Short-Term Clinical Outcomes Among Individuals Receiving Maintenance Hemodialysis. (1941–7225 (Electronic)).

  • Chou JA, Streja E, Nguyen DV, Rhee CM, Obi Y, Inrig JK, Amin A, Kovesdy CP, Sim JJ, Kalantar-Zadeh K. Intradialytic hypotension, blood pressure changes and mortality risk in incident hemodialysis patients. (1460–2385 (Electronic)).

  • Kimmel PL, Fwu CW, Abbott KC, Moxey-Mims MM, Mendley S, Norton JA-O, Eggers PW. Psychiatric Illness and Mortality in Hospitalized ESKD Dialysis Patients. (1555-905X (Electronic)).

  • Ross KA-O, Jaar BG, Lea JP, Masud T, Patzer RE, Plantinga LC. Long-term outcomes among Medicare patients readmitted in the first year of hemodialysis: a retrospective cohort study. (1471–2369 (Electronic)).

  • Givler A, Bhatt H, Maani-Fogelman PA. The importance of Cultural competence in Pain and Palliative Care. BTI – StatPearls.

  • Li W, Xiong L, Fan L, Wang Y, Peng X, Rong R, Qiu Y, Shen J, Lin J, Yu X et al. Association of baseline, longitudinal serum high-sensitive C-reactive protein and its change with mortality in peritoneal dialysis patients. (1471–2369 (Electronic)).

  • Viana JL, Kosmadakis GC, Watson EL, Bevington A, Feehally J, Bishop NC, Smith AC. Evidence for anti-inflammatory effects of exercise in CKD. (1533–3450 (Electronic)).

  • Roshanravan B, Gamboa J, Wilund K. Exercise and CKD: skeletal muscle dysfunction and practical application of Exercise to prevent and treat physical impairments in CKD. (1523–6838 (Electronic)).

  • Konstantinidou E, Koukouvou G, Fau – Kouidi E, Kouidi E, Fau – Deligiannis A, Deligiannis A, Fau – Tourkantonis A, Tourkantonis A. Exercise training in patients with end-stage renal disease on hemodialysis: comparison of three rehabilitation programs. (1650–1977 (Print)).

  • Nagaraju SP, Shenoy SV, Gupta A. Frailty in end stage renal disease: Current perspectives. (2013–2514 (Electronic)).

  • Tan VS, Garg AX, McArthur E, Patzer RE, Gander J, Roshanov PA-O, Kim SJ, Knoll GA, Yohanna S, McCallum MK et al. Predicting 3-Year survival in patients receiving maintenance Dialysis: an external validation of iChoose kidney in Ontario, Canada. (2054–3581 (Print)).

  • Tripepi G, Agharazii M, Pannier B, D’Arrigo G, Mallamaci F, Zoccali C, London G. Pulse Wave velocity and prognosis in end-stage kidney disease. (1524–4563 (Electronic)).

  • Chen HS, Cheng CT, Hou CC, Liou HH, Chang CT, Lin CJ, Wu TK, Chen CH, Lim PS. A practical standardized Composite Nutrition score based on lean tissue index: application in Nutrition Screening and Prediction of Outcome in Hemodialysis Population. (1532–8503 (Electronic)).

  • Forzley B, Er L, Chiu HHL, Djurdjev O, Martinusen D, Carson RC, Hargrove G, Levin A, Karim M. External validation and clinical utility of a prediction model for 6-month mortality in patients undergoing hemodialysis for end-stage kidney disease. (1477-030X (Electronic)).

  • Schrauben SJ, Chang AR. Functional Status in CKD: What Measures to Use? Kidney360 2021, 2(4).

  • K/DOQI Clinical Practice. Guidelines for Cardiovascular Disease in Dialysis patients. Am J Kidney Dis. 2005;45:16–53.

    Article 

    Google Scholar
     

  • Racki S, Zaputoviƒá L, Fau – Mavriƒá Z, Mavriƒá Z, Fau – Vujiciƒá B, Vujiciƒá B, Fau – Dvornik S, Dvornik S. C-reactive protein is a strong predictor of mortality in hemodialysis patients. (0886-022X (Print)).

  • Bazeley J, Bieber B, Fau – Li Y, Li Y, Fau – Morgenstern H, Morgenstern H, de Fau – P, de Sequera PF, Combe C, Combe C, Fau – Yamamoto H, Yamamoto H, Fau – Gallagher M, Gallagher M Fau – Port FK, Port Fk Fau – Robinson, Robinson BM. BM: C-reactive protein and prediction of 1-year mortality in prevalent hemodialysis patients. (1555-905X (Electronic)).