Outcome and Determining Characteristics of ICU Patients with Acute Kidney Injury in a Low-Income Country, a Multicenter Experience

1. Peerapornratana S, Fiorentino M, Priyanka P. Recovery after AKI: Effects on outcomes over 15 years. J Crit Care. 2023; 76:1542–8. PeerapornratanaS FiorentinoM PriyankaP Recovery after AKI: Effects on outcomes over 15 years J Crit Care 2023 76 1542 8 Search in Google Scholar

2. Kulvichit W, Sarnvanichpitak K, Peerapornratana S, et al. In-hospital mortality of critically Ill patients with interactions of acute kidney injury and acute respiratory failure in the resource-limited settings: Results from SEA-AKI study. J Crit Care. 2022; 71:1541–43. KulvichitW SarnvanichpitakK PeerapornratanaS In-hospital mortality of critically Ill patients with interactions of acute kidney injury and acute respiratory failure in the resource-limited settings: Results from SEA-AKI study J Crit Care 2022 71 1541 43 Search in Google Scholar

3. Wainstein M, Spyrison N, Dai D, et al. Association of Country Income Level with the Characteristics and Outcomes of Critically Ill Patients Hospitalized with Acute Kidney Injury and COVID-19. Kidney Int Rep. 2023;8(8):1514–30. WainsteinM SpyrisonN DaiD Association of Country Income Level with the Characteristics and Outcomes of Critically Ill Patients Hospitalized with Acute Kidney Injury and COVID-19 Kidney Int Rep 2023 8 8 1514 30 Search in Google Scholar

4. Birri PNR, Giannoni R, Furche M, et al. Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study). J Crit Care. 2023; 78:1543–52. BirriPNR GiannoniR FurcheM Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study) J Crit Care 2023 78 1543 52 Search in Google Scholar

5. Tang J, Huang J, He X, et al. The prediction of in-hospital mortality in elderly patients with sepsis-associated acute kidney injury utilizing machine learning models. Heliyon. 2024;10(4):265–70. TangJ HuangJ HeX The prediction of in-hospital mortality in elderly patients with sepsis-associated acute kidney injury utilizing machine learning models Heliyon 2024 10 4 265 70 Search in Google Scholar

6. Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015; 41:1411–23. HosteEA BagshawSM BellomoR Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study Intensive Care Med 2015 41 1411 23 Search in Google Scholar

7. Bucuvic EM, Ponce D, Balbi AL. Risk factors for mortality in acute kidney injury. Rev Assoc Médica Bras Engl Ed. 2011;57(2):156–61. BucuvicEM PonceD BalbiAL Risk factors for mortality in acute kidney injury Rev Assoc Médica Bras Engl Ed 2011 57 2 156 61 Search in Google Scholar

8. Mataloun SE, Machado FR, Senna APR, Guimarães HP, Amaral JLG do. Incidence, risk factors and prognostic factors of acute renal failure in patients admitted to an intensive care unit. Braz J Med Biol Res. 2006; 39:1339–47. MatalounSE MachadoFR SennaAPR GuimarãesHP AmaralJLG do Incidence, risk factors and prognostic factors of acute renal failure in patients admitted to an intensive care unit Braz J Med Biol Res 2006 39 1339 47 Search in Google Scholar

9. Pedersen AB, Gammelager H, Kahlert J, Sørensen HT, Christiansen CF. Impact of body mass index on risk of acute kidney injury and mortality in elderly patients undergoing hip fracture surgery. Osteoporos Int. 2017; 28:1087–97. PedersenAB GammelagerH KahlertJ SørensenHT ChristiansenCF Impact of body mass index on risk of acute kidney injury and mortality in elderly patients undergoing hip fracture surgery Osteoporos Int 2017 28 1087 97 Search in Google Scholar

10. Martín-del-Campo F, Ruvalcaba-Contreras N, Velázquez-Vidaurri AL, et al. Morbid obesity is associated with mortality and acute kidney injury in hospitalized patients with COVID-19. Clin Nutr ESPEN. 2021; 45:200–5. Martín-del-CampoF Ruvalcaba-ContrerasN Velázquez-VidaurriAL Morbid obesity is associated with mortality and acute kidney injury in hospitalized patients with COVID-19 Clin Nutr ESPEN 2021 45 200 5 Search in Google Scholar

11. Valera RJ, Sarmiento-Cobos M, Montorfano L, et al. Predictors and outcomes of acute kidney injury after bariatric surgery: Analysis of the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program data registry. Surg Obes Relat Dis. 2023;19(11):1302–7. ValeraRJ Sarmiento-CobosM MontorfanoL Predictors and outcomes of acute kidney injury after bariatric surgery: Analysis of the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program data registry Surg Obes Relat Dis 2023 19 11 1302 7 Search in Google Scholar

12. Maher ER, Robinson KN, Scoble JE, et al. Prognosis of critically ill patients with acute renal failure: APACHE II score and other predictive factors. QJM Int J Med. 1989;72(3):857–66. MaherER RobinsonKN ScobleJE Prognosis of critically ill patients with acute renal failure: APACHE II score and other predictive factors QJM Int J Med 1989 72 3 857 66 Search in Google Scholar

13. Patel P, Gupta S, Patel H, Bashar MA. Assessment of APACHE II Score to Predict ICU outcomes of patients with AKI: A single-center experience from Haryana, North India. Indian J Crit Care Med Peer-Rev Off Publ Indian Soc Crit Care Med. 2022;26(3):276. PatelP GuptaS PatelH BasharMA Assessment of APACHE II Score to Predict ICU outcomes of patients with AKI: A single-center experience from Haryana, North India Indian J Crit Care Med Peer-Rev Off Publ Indian Soc Crit Care Med 2022 26 3 276 Search in Google Scholar

14. Ryan HM, Sharma S, Magee LA, et al. The usefulness of the APACHE II score in obstetric critical care: a structured review. J Obstet Gynaecol Can. 2016;38(10):909–18. RyanHM SharmaS MageeLA The usefulness of the APACHE II score in obstetric critical care: a structured review J Obstet Gynaecol Can 2016 38 10 909 18 Search in Google Scholar

15. Abosaif NY, Tolba YA, Heap M, Russell J, El Nahas AM. The outcome of acute renal failure in the intensive care unit according to RIFLE: model application, sensitivity, and predictability. Am J Kidney Dis. 2005;46(6):1038–48. AbosaifNY TolbaYA HeapM RussellJ El NahasAM The outcome of acute renal failure in the intensive care unit according to RIFLE: model application, sensitivity, and predictability Am J Kidney Dis 2005 46 6 1038 48 Search in Google Scholar

16. Al-Thani H, Ramzee AF, Asim M, El-Menyar A. Predisposing Factors and Outcome of Acute Kidney Injury After Blunt Trauma: A 10-Year Study. J Surg Res. 2023; 284:193–203. Al-ThaniH RamzeeAF AsimM El-MenyarA Predisposing Factors and Outcome of Acute Kidney Injury After Blunt Trauma: A 10-Year Study J Surg Res 2023 284 193 203 Search in Google Scholar

17. Birri PNR, Giannoni R, Furche M, et al. Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study). J Crit Care. 2023; 78:1543–82. BirriPNR GiannoniR FurcheM Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study) J Crit Care 2023 78 1543 82 Search in Google Scholar

18. Lemma R, Kebede Y, Ayenew F. Time to acute kidney injury and its predictors among newly diagnosed type 2 diabatic patients at government hospital in Harari region, East Ethiopia. Plus One 2019; 14 (5): 159–67 LemmaR KebedeY AyenewF Time to acute kidney injury and its predictors among newly diagnosed type 2 diabatic patients at government hospital in Harari region East Ethiopia. Plus One 2019 14 5 159 67 Search in Google Scholar

19. Kilincer Bozgul SM, Yargucu Zihni F, AK G, et al. MORTALITY PREDICTORS IN ELDERLY INTENSIVE CARE UNIT PATIENTS WITH ACUTE KIDNEY INJURY REQUIRING HEMODIALYSIS. Turk J Geriatr Geriatri Derg. 2023; 26:78–82. Kilincer BozgulSM Yargucu ZihniF AKG MORTALITY PREDICTORS IN ELDERLY INTENSIVE CARE UNIT PATIENTS WITH ACUTE KIDNEY INJURY REQUIRING HEMODIALYSIS Turk J Geriatr Geriatri Derg 2023 26 78 82 Search in Google Scholar

20. Lin K, Hu Y, Kong G. Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model. Int J Med Inf. 2019; 125:55–61. LinK HuY KongG Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model Int J Med Inf 2019 125 55 61 Search in Google Scholar

21. Singh B, Dogra PM, Sood V, et al. Spectrum, outcomes, and mortality predictors of acute kidney injury among non-COVID-19 patients during COVID-19 pandemic: data from four intensive care units. Indian J Crit Care Med. 2023;27(2):119. SinghB DograPM SoodV Spectrum, outcomes, and mortality predictors of acute kidney injury among non-COVID-19 patients during COVID-19 pandemic: data from four intensive care units Indian J Crit Care Med 2023 27 2 119 Search in Google Scholar

22. Neyra JA, Ortiz-Soriano V, Liu LJ, et al. Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients with Acute Kidney Injury. Am J Kidney Dis. 2023;81(1):36–47. NeyraJA Ortiz-SorianoV LiuLJ Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients with Acute Kidney Injury Am J Kidney Dis 2023 81 1 36 47 Search in Google Scholar

23. White KC, Serpa-Neto A, Hurford R, Clement P, Laupland KB, See E. Sepsis-associated acute kidney injury in the intensive care unit: incidence, patient characteristics, timing, trajectory, treatment, and associated outcomes. A multicenter, observational study. Intensive Care Med. 2023;49(9):1079–89. WhiteKC Serpa-NetoA HurfordR ClementP LauplandKB SeeE Sepsis-associated acute kidney injury in the intensive care unit: incidence, patient characteristics, timing, trajectory, treatment, and associated outcomes. A multicenter, observational study Intensive Care Med 2023 49 9 1079 89 Search in Google Scholar

24. Mosenye SM, Moshomo T, Shailemo D, Rwegerera GM. The prevalence, associated factors, and clinical outcomes of acute kidney injury among elderly patients admitted in medical wards of Princess Marina Hospital, Gaborone, Botswana. Tanzan J Health Res. 2023;24(2):37–56. MosenyeSM MoshomoT ShailemoD RwegereraGM The prevalence, associated factors, and clinical outcomes of acute kidney injury among elderly patients admitted in medical wards of Princess Marina Hospital, Gaborone, Botswana Tanzan J Health Res 2023 24 2 37 56 Search in Google Scholar

25. Whitlock R, Leon SJ, Manacsa H, et al. The association between dual RAAS inhibition and risk of acute kidney injury and hyperkalemia in patients with diabetic kidney disease: a systematic review and meta-analysis. Nephrol Dial Transplant. 2023;38(11):2503–16. WhitlockR LeonSJ ManacsaH The association between dual RAAS inhibition and risk of acute kidney injury and hyperkalemia in patients with diabetic kidney disease: a systematic review and meta-analysis Nephrol Dial Transplant 2023 38 11 2503 16 Search in Google Scholar