Lv JC, Zhang LX. Prevalence and Disease Burden of Chronic Kidney Disease. Adv Exp Med Biol. 2019. 1165: 3–15.

Article  CAS  PubMed  Google Scholar 

Liyanage T, Toyama T, Hockham C, et al. Prevalence of chronic kidney disease in Asia: a systematic review and analysis. BMJ Glob Health. 2022. 7(1): e007525.

Article  PubMed  PubMed Central  Google Scholar 

Crews DC, Bello AK, Saadi G. Burden, Access, and Disparities in Kidney Disease. Am J Nephrol. 2019. 49(3): 254–262.

Article  PubMed  Google Scholar 

Ruiz-Ortega M, Rayego-Mateos S, Lamas S, Ortiz A, Rodrigues-Diez RR. Targeting the progression of chronic kidney disease. Nat Rev Nephrol. 2020. 16(5): 269–288.

Article  PubMed  Google Scholar 

Evans M, Lewis RD, Morgan AR, et al. A Narrative Review of Chronic Kidney Disease in Clinical Practice: Current Challenges and Future Perspectives. Adv Ther. 2022. 39(1): 33–43.

Article  PubMed  Google Scholar 

Braun MM, Khayat M. Kidney Disease: End-Stage Renal Disease. FP Essent. 2021. 509: 26–32.

PubMed  Google Scholar 

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(1): e12641.

PubMed  PubMed Central  Google Scholar 

Inrig JK, Patel UD, Toto RD, Szczech LA. Association of blood pressure increases during hemodialysis with 2-year mortality in incident hemodialysis patients: a secondary analysis of the Dialysis Morbidity and Mortality Wave 2 Study. Am J Kidney Dis. 2009. 54(5): 881–90.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sebastian S, Filmalter C, Harvey J, Chothia MY. Intradialytic hypertension during chronic haemodialysis and subclinical fluid overload assessed by bioimpedance spectroscopy. Clin Kidney J. 2016. 9(4): 636–43.

Article  PubMed  PubMed Central  Google Scholar 

Shamir AR, Karembelkar A, Yabes J, et al. Association of Intradialytic Hypertension with Left Ventricular Mass in Hypertensive Hemodialysis Patients Enrolled in the Blood Pressure in Dialysis (BID) Study. Kidney Blood Press Res. 2018. 43(3): 882–892.

Article  PubMed  Google Scholar 

Raja SM, Seyoum Y. Intradialytic complications among patients on twice-weekly maintenance hemodialysis: an experience from a hemodialysis center in Eritrea. BMC Nephrol. 2020. 21(1): 163.

Article  PubMed  PubMed Central  Google Scholar 

Flythe JE, Chang TI, Gallagher MP, et al. Blood pressure and volume management in dialysis: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2020. 97(5): 861–876.

Van Buren PN, Kim C, Toto RD, Inrig JK. The prevalence of persistent intradialytic hypertension in a hemodialysis population with extended follow-up. Int J Artif Organs. 2012. 35(12): 1031–8.

Article  PubMed  Google Scholar 

Losito A, Del Vecchio L, Del Rosso G, Locatelli F. Postdialysis Hypertension: Associated Factors, Patient Profiles, and Cardiovascular Mortality. Am J Hypertens. 2016. 29(6): 684–9.

Article  PubMed  Google Scholar 

Singh AT, Waikar SS, Mc Causland FR. Association of Different Definitions of Intradialytic Hypertension With Long-Term Mortality in Hemodialysis. Hypertension. 2022. 79(4): 855–862.

Article  CAS  PubMed  Google Scholar 

Zager PG, Nikolic J, Brown RH, et al. “U” curve association of blood pressure and mortality in hemodialysis patients. Medical Directors of Dialysis Clinic, Inc. Kidney Int. 1998. 54(2): 561–9.

CAS  PubMed  Google Scholar 

Tsuruya K, Kanda E, Nomura T, Iseki K, Hirakata H. Postdialysis blood pressure is a better predictor of mortality than predialysis blood pressure in Japanese hemodialysis patients: the Japan Dialysis Outcomes and Practice Patterns Study. Hypertens Res. 2020. 43(8): 791–797.

Article  PubMed  Google Scholar 

Iatridi F, Theodorakopoulou MP, Papagianni A, Sarafidis P. Intradialytic hypertension: epidemiology and pathophysiology of a silent killer. Hypertens Res. 2022. 45(11): 1713–1725.

Article  PubMed  Google Scholar 

Iatridi F, Theodorakopoulou MP, Papagianni A, Sarafidis P. Management of intradialytic hypertension: current evidence and future perspectives. J Hypertens. 2022. 40(11): 2120–2129.

Article  CAS  PubMed  Google Scholar 

Inrig JK. Intradialytic hypertension: a less-recognized cardiovascular complication of hemodialysis. Am J Kidney Dis. 2010. 55(3): 580–9.

Article  CAS  PubMed  Google Scholar 

Handelman GS, Kok HK, Chandra RV, Razavi AH, Lee MJ, Asadi H. eDoctor: machine learning and the future of medicine. J Intern Med. 2018. 284(6): 603–619.

Article  CAS  PubMed  Google Scholar 

Deo RC. Machine Learning in Medicine. Circulation. 2015. 132(20): 1920–30.

Article  PubMed  PubMed Central  Google Scholar 

Fatima FS, Jaiswal A, Sachdeva N. Lung Cancer Detection Using Machine Learning Techniques. Crit Rev Biomed Eng. 2022. 50(6): 45–58.

Article  PubMed  Google Scholar 

Angraal S, Mortazavi BJ, Gupta A, et al. Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction. JACC Heart Fail. 2020. 8(1): 12–21.

Article  PubMed  Google Scholar 

Alaimo L, Lima HA, Moazzam Z, et al. Development and Validation of a Machine-Learning Model to Predict Early Recurrence of Intrahepatic Cholangiocarcinoma. Ann Surg Oncol. 2023. 30(9): 5406–5415.

Article  PubMed  Google Scholar 

Gottlieb ER, Samuel M, Bonventre JV, Celi LA, Mattie H. Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit. Adv Chronic Kidney Dis. 2022. 29(5): 431–438.

Article  PubMed  PubMed Central  Google Scholar 

Shouval R, Fein JA, Savani B, Mohty M, Nagler A. Machine learning and artificial intelligence in haematology. Br J Haematol. 2021. 192(2): 239–250.

Article  PubMed  Google Scholar 

Joshi RD, Dhakal CK. Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches. Int J Environ Res Public Health. 2021. 18(14): 7346.

Article  PubMed  PubMed Central  Google Scholar 

Dong J, Feng T, Thapa-Chhetry B, et al. Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care. Crit Care. 2021. 25(1): 288.

Article  PubMed  PubMed Central  Google Scholar 

Kate RJ, Pearce N, Mazumdar D, Nilakantan V. A continual prediction model for inpatient acute kidney injury. Comput Biol Med. 2020. 116: 103580.

Article  PubMed  Google Scholar 

Song X, Liu X, Liu F, Wang C. Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis. Int J Med Inform. 2021. 151: 104484.

Article  PubMed  Google Scholar 

Thongprayoon C, Hansrivijit P, Bathini T, et al. Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches. J Clin Med. 2020. 9(6): 1767.

Article  PubMed  PubMed Central  Google Scholar 

Su CT, Chang YP, Ku YT, Lin CM. Machine Learning Models for the Prediction of Renal Failure in Chronic Kidney Disease: A Retrospective Cohort Study. Diagnostics (Basel). 2022. 12(10): 2454.

Schena FP, Anelli VW, Abbrescia DI, Di Noia T. Prediction of chronic kidney disease and its progression by artificial intelligence algorithms. J Nephrol. 2022. 35(8): 1953–1971.

Article  PubMed  Google Scholar 

Zacharias HU, Altenbuchinger M, Schultheiss UT, et al. A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests. Am J Kidney Dis. 2022. 79(2): 217–230.e1.

Article  CAS  PubMed  Google Scholar 

Chuah A, Walters G, Christiadi D, et al. Machine Learning Improves Upon Clinicians’ Prediction of End Stage Kidney Disease. Front Med (Lausanne). 2022. 9: 837232.