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For: Sars B, van der Sande FM, Kooman JP. Intradialytic Hypotension: Mechanisms and Outcome. Blood Purif 2020;49:158-67. [PMID: 31851975 DOI: 10.1159/000503776] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Rootjes PA, Chaara S, de Roij van Zuijdewijn CL, Nubé MJ, Wijngaarden G, Grooteman MP. High-Volume Hemodiafiltration and Cool Hemodialysis Have a Beneficial Effect on Intradialytic Hemodynamics: A Randomized Cross-Over Trial of Four Intermittent Dialysis Strategies. Kidney International Reports 2022;7:1980-90. [DOI: 10.1016/j.ekir.2022.06.021] [Reference Citation Analysis]
2 Hara T, Kasahara Y, Nakagawa T. Association between haemoglobin concentration and intradialytic hypotension in patients undergoing maintenance haemodialysis: a retrospective cohort study. BMJ Open 2022;12:e064026. [PMID: 36028275 DOI: 10.1136/bmjopen-2022-064026] [Reference Citation Analysis]
3 Longley R, Keane DF. This study aimed to evaluate IPC and NMES in haemodialysis patients with lower limb oedema. As a secondary objective, it also set out to evaluate the impact of localised fluid (oedema) on BCM measured fluid status. J Ren Care 2022. [PMID: 35780390 DOI: 10.1111/jorc.12438] [Reference Citation Analysis]
4 Zhao H, Su C, Rajakani K. Correlation of Nursing Quality and Complications in the Hemodialysis Room as well as Nursing Countermeasures. Journal of Healthcare Engineering 2022;2022:1-5. [DOI: 10.1155/2022/1841454] [Reference Citation Analysis]
5 Cavallari G, Mancini E. The Nephrologist's Role in the Collaborative Multi-Specialist Network Taking Care of Patients with Diabetes on Maintenance Hemodialysis: An Overview. J Clin Med 2022;11:1521. [PMID: 35329847 DOI: 10.3390/jcm11061521] [Reference Citation Analysis]
6 Hara T, Kasahara Y, Nakagawa T. Pre-dialysis diastolic blood pressure and intradialytic hypotension in patients undergoing maintenance haemodialysis. J Nephrol 2022. [PMID: 35247180 DOI: 10.1007/s40620-022-01292-2] [Reference Citation Analysis]
7 Mendoza-pitti L, Gomez-pulido JM, Vargas-lombardo M, Gomez-pulido JA, Polo-luque M, Rodriguez-puyol D. Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data. IEEE Access 2022;10:72065-79. [DOI: 10.1109/access.2022.3189018] [Reference Citation Analysis]
8 Apter C, Seigneuric B, Darres A, Longlune N, Kamar N, Cointault O, Faguer S. Acetate-free biofiltration vs. online acetate-free hemodiafiltration in patients at high risk of hemodialysis intolerance. Kidney International Reports 2022. [DOI: 10.1016/j.ekir.2022.01.1056] [Reference Citation Analysis]
9 Torreggiani M, Fois A, Njandjo L, Longhitano E, Chatrenet A, Esposito C, Fessi H, Piccoli GB. Toward an individualized determination of dialysis adequacy: a narrative review with special emphasis on incremental hemodialysis. Expert Rev Mol Diagn 2021;21:1119-37. [PMID: 34595991 DOI: 10.1080/14737159.2021.1987216] [Reference Citation Analysis]
10 Zschätzsch S, Stauss-Grabo M, Gauly A, Braun J. Integrating Monitoring of Volume Status and Blood Volume-Controlled Ultrafiltration into Extracorporeal Kidney Replacement Therapy. Int J Nephrol Renovasc Dis 2021;14:349-58. [PMID: 34511978 DOI: 10.2147/IJNRD.S319911] [Reference Citation Analysis]
11 Helve J, Haapio M, Groop PH, Finne P. Primary kidney disease modifies the effect of comorbidities on kidney replacement therapy patients' survival. PLoS One 2021;16:e0256522. [PMID: 34415958 DOI: 10.1371/journal.pone.0256522] [Reference Citation Analysis]
12 Chaudhuri S, Han H, Monaghan C, Larkin J, Waguespack P, Shulman B, Kuang Z, Bellamkonda S, Brzozowski J, Hymes J, Black M, Kotanko P, Kooman JP, Maddux FW, Usvyat L. Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure. BMC Nephrol 2021;22:274. [PMID: 34372809 DOI: 10.1186/s12882-021-02481-0] [Reference Citation Analysis]
13 [DOI: 10.1109/ecbios51820.2021.9510749] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
14 Tarao K, Daimon M, Son K, Nakanishi K, Nakao T, Suwazono Y, Isono S. Risk factors including preoperative echocardiographic parameters for post-induction hypotension in general anesthesia. J Cardiol 2021;78:230-6. [PMID: 33838982 DOI: 10.1016/j.jjcc.2021.03.010] [Reference Citation Analysis]
15 Moromizato T, Kohagura K, Tokuyama K, Shiohira Y, Toma S, Uehara H, Arima H, Ueda S, Iseki K. Predictors of Survival in Chronic Hemodialysis Patients: A 10-Year Longitudinal Follow-Up Analysis. Am J Nephrol 2021;52:108-18. [PMID: 33756478 DOI: 10.1159/000513951] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Wang Y, Cao X, Yu J, Zhang Y, Li X, Chen X, Zou J, Shen B, Ding X. Association of N-Terminal Pro-brain Natriuretic Peptide With Volume Status and Cardiac Function in Hemodialysis Patients. Front Cardiovasc Med 2021;8:646402. [PMID: 33693039 DOI: 10.3389/fcvm.2021.646402] [Reference Citation Analysis]
17 Timofte D, Tanasescu MD, Balan DG, Tulin A, Stiru O, Vacaroiu IA, Mihai A, Popa CC, Cosconel CI, Enyedi M, Miricescu D, Papacocea RI, Ionescu D. Management of acute intradialytic cardiovascular complications: Updated overview (Review). Exp Ther Med 2021;21:282. [PMID: 33603889 DOI: 10.3892/etm.2021.9713] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
18 Ghoshal S, Freedman BI. Renal Replacement Therapy and Dialysis-associated Neurovascular Injury (DANI) in the Neuro ICU: a Review of Pathophysiology and Preventative Options. Curr Treat Options Neurol 2021;23. [DOI: 10.1007/s11940-020-00661-1] [Reference Citation Analysis]
19 Ali M, Ejaz A, Iram H, Solangi SA, Junejo AM, Solangi SA. Frequency of Intradialytic Complications in Patients of End-Stage Renal Disease on Maintenance Hemodialysis. Cureus 2021;13:e12641. [PMID: 33585127 DOI: 10.7759/cureus.12641] [Reference Citation Analysis]
20 Loutradis C, Sarafidis PA, Ferro CJ, Zoccali C. Volume overload in hemodialysis: diagnosis, cardiovascular consequences, and management. Nephrol Dial Transplant 2020:gfaa182. [PMID: 33184659 DOI: 10.1093/ndt/gfaa182] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
21 Huang JC, Tsai YC, Wu PY, Lien YH, Chien CY, Kuo CF, Hung JF, Chen SC, Kuo CH. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method. Comput Methods Programs Biomed 2020;195:105536. [PMID: 32485511 DOI: 10.1016/j.cmpb.2020.105536] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]