Welcome to Francis Academic Press

Academic Journal of Medicine & Health Sciences, 2025, 6(2); doi: 10.25236/AJMHS.2025.060201.

Predictive Value of OASIS for Sepsis-associated Acute Kidney Injury: A Retrospective Cohort Study Based on the MIMIC-IV Database

Author(s)

Lizhen Zhou1, Weixiao Chen2, Murong Lu2, Shuangshuang Wang1, Pengcheng Duan1, Hongjing Yu1

Corresponding Author:
Hongjing Yu
Affiliation(s)

1Nursing Department, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China

2Critical Care Medicine Department, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China

Abstract

Sepsis is a life-threatening and critical condition that often leads to multiple organ dysfunction. Among its complications, Sepsis-associated Acute Kidney Injury (SA-AKI) is a prevalent and fatal issue, resulting in numerous deaths worldwide each year. Early assessment of sepsis is crucial for reducing mortality rates. While scoring systems are commonly utilized in the intensive care setting, clinicians often favor simpler and more user-friendly tools. The Oxford Acute Severity of Illness Score (OASIS) provides a rapid evaluation of patient conditions. However, its predictive validity for SA-AKI has not been thoroughly investigated. This study aims to explore the predictive capability of OASIS for the development of SA-AKI in septic patients during hospitalization.

Keywords

OASIS, Predictive value, Sepsis, Sepsis-associated acute kidney injury, MIMIC-IV database

Cite This Paper

Lizhen Zhou, Weixiao Chen, Murong Lu, Shuangshuang Wang, Pengcheng Duan, Hongjing Yu. Predictive Value of OASIS for Sepsis-associated Acute Kidney Injury: A Retrospective Cohort Study Based on the MIMIC-IV Database. Academic Journal of Medicine & Health Sciences (2025), Vol. 6, Issue 2: 1-9. https://doi.org/10.25236/AJMHS.2025.060201.

References

[1] Singer M, Deutschman CS, Seymour CW, et al: The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)[J]. JAMA 2016, 315(8):801-810.

[2] Vincent JL, Marshall JC, Namendys-Silva SA, et al: Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit[J]. Lancet Respir Med 2014, 2(5):380-386.

[3] Rudd KE, Johnson SC, Agesa KM, et al: Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study[J]. Lancet 2020, 395(10219):200-211. 

[4] Bagshaw SM, Uchino S, Bellomo R, et al: Septic acute kidney injury in critically ill patients: clinical characteristics and outcomes[J]. Clin J Am Soc Nephrol 2007, 2(3):431-439.

[5] Zarbock A, Nadim MK, Pickkers P, et al: Sepsis-associated acute kidney injury: consensus report of the 28th Acute Disease Quality Initiative workgroup[J]. Nat Rev Nephrol 2023, 19(6):401-417.

[6] Chen FC, Kung CT, Cheng HH, et al: Quick Sepsis-related Organ Failure Assessment predicts 72-h mortality in patients with suspected infection[J]. Eur J Emerg Med 2019, 26(5):323-328.

[7] Jeong S: Scoring Systems for the Patients of Intensive Care Unit[J]. Acute Crit Care 2018, 33(2):102-104.

[8] Rapsang AG, Shyam DC: Scoring systems in the intensive care unit: A compendium[J]. Indian J Crit Care Med 2014, 18(4):220-228.

[9] Pellathy TP, Pinsky MR, Hravnak M: Intensive Care Unit Scoring Systems[J]. Crit Care Nurse 2021, 41(4):54-64.

[10] Johnson AE, Kramer AA, Clifford GD: A new severity of illness scale using a subset of Acute Physiology And Chronic Health Evaluation data elements shows comparable predictive accuracy[J]. Crit Care Med 2013, 41(7):1711-1718.

[11] Wang N, Wang M, Jiang L, et al: The predictive value of the Oxford Acute Severity of Illness Score for clinical outcomes in patients with acute kidney injury[J]. Ren Fail 2022, 44(1):320-328.

[12] Luo C, Gu H, Jin Y, et al: Comparison of the predictive value of the Oxford acute severity of illness score and simplified acute physiology score II for in-hospital mortality in intensive care unit patients with sepsis: an analysis based on MIMIC-IV database[J].Chinese Critical Care Medicine 2022, 34(4):352-356. 

[13] Chen Q, Zhang L, Ge S, et al: Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study[J]. PeerJ 2019, 7:e7083.

[14] Chen QG, Xie RJ, Chen YZ, et al: Clinical value of Oxford acute severity of illness score in identifying quick sequential organ failure assessment-negative patients with sepsis[J]. Chinese Journal of Tuberculosis and Respiratory Diseases 2018, 41(9):701-708.

[15] Hu C, Hu B, Li Z, et al: Comparison of four scoring systems for predicting ICU mortality in patients with sepsis[J]. Journal of Southern Medical University 2020, 40(4):513-518.

[16] Johnson AEW, Bulgarelli L, Shen L, et al: MIMIC-IV, a freely accessible electronic health record dataset[J]. Sci Data 2023, 10(1):1.

[17] Kellum JA, Chawla LS, Keener C, et al: The Effects of Alternative Resuscitation Strategies on Acute Kidney Injury in Patients with Septic Shock[J]. Am J Respir Crit Care Med 2016, 193(3):281-287.

[18] Prowle JR: Sepsis-Associated AKI[J]. Clin J Am Soc Nephrol 2018, 13(2):339-342.

[19] Ostermann M, Bellomo R, Burdmann EA, et al: Controversies in acute kidney injury: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Conference[J]. Kidney Int 2020, 98(2):294-309.

[20] Yang WS, Kang HD, Jung SK, et al: A mortality analysis of septic shock, vasoplegic shock and cryptic shock classified by the third international consensus definitions (Sepsis-3)[J]. Clin Respir J 2020, 14(9):857-863.

[21] Arabi Y, Al Shirawi N, Memish Z, et al: Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study[J]. Crit Care 2003, 7(5):R116-122.

[22] Godinjak A, Iglica A, Rama A, et al: Predictive value of SAPS II and APACHE II scoring systems for patient outcome in a medical intensive care unit[J]. Acta Med Acad 2016, 45(2):97-103.

[23] Kadziolka I, Swistek R, Borowska K, et al: Validation of APACHE II and SAPS II scales at the intensive care unit along with assessment of SOFA scale at the admission as an isolated risk of death predictor[J]. Anaesthesiol Intensive Ther 2019, 51(2):107-111.

[24] Khwannimit B, Bhurayanontachai R, Vattanavanit V: Comparison of the performance of SOFA, qSOFA and SIRS for predicting mortality and organ failure among sepsis patients admitted to the intensive care unit in a middle-income country[J]. J Crit Care 2018, 44:156-160.

[25] Khwannimit B, Bhurayanontachai R, Vattanavanit V: Comparison of the accuracy of three early warning scores with SOFA score for predicting mortality in adult sepsis and septic shock patients admitted to intensive care unit[J]. Heart Lung 2019, 48(3):240-244.

[26] Zhu S, Chen H, Li X,  et al: Predictive value of six critical illness scores for 28-day death risk in comprehensive and specialized intensive care unit patients based on MIMIC-IV database[J]. Chinese Critical Care Medicine 2022, 34(7):752-758. 

[27] Chavez-Iniguez JS, Maggiani-Aguilera P, Aranda-Garcia de Quevedo A, et al: Serum Potassium Trajectory during Acute Kidney Injury and Mortality Risk[J]. Nephron 2023, 147(9):521-530.

[28] Pan L, Mo M, Huang A, et al: Coagulation parameters may predict clinical outcomes in patients with septic acute kidney injury[J]. Clin Nephrol 2021, 96(5):253-262.