Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database

References

• Greenberg JA, Hsu J, Bawazeer M, et al. Clinical practice guideline: management of acute pancreatitis. Can J Surg. 2016;59(2):1–11. doi:10.1503/cjs.015015.
   Web of Science ®Google Scholar
• Lankisch PG, Apte M, Banks PA. Acute pancreatitis. Lancet. 2015;386(9988):85–96. doi:10.1016/S0140-6736(14)60649-8.
   PubMed Web of Science ®Google Scholar
• Nassar TI, Qunibi WY. AKI associated with acute pancreatitis. Clin J Am Soc Nephrol. 2019;14(7):1106–1115. doi:10.2215/CJN.13191118.
   PubMed Web of Science ®Google Scholar
• Acute Pancreatitis: Diagnosis and Treatment - PubMed. https://pubmed.ncbi.nlm.nih.gov/36074322/. (accessed May 11, 2023).
   Google Scholar
• Garg PK, Singh VP. Organ failure due to systemic injury in acute pancreatitis. Gastroenterology. 2019;156(7):2008–2023. doi:10.1053/j.gastro.2018.12.041.
   PubMed Web of Science ®Google Scholar
• Wajda J, Dumnicka P, Maraj M, et al. Potential prognostic markers of acute kidney injury in the early phase of acute pancreatitis. Int J Mol Sci. 2019;20(15):3714. doi:10.3390/ijms20153714.
   PubMed Web of Science ®Google Scholar
• Wu S, Zhou Q, Cai Y, et al. Development and validation of a prediction model for the early occurrence of acute kidney injury in patients with acute pancreatitis. Ren Fail. 2023;45(1):2194436. doi:10.1080/0886022X.2023.2194436.
   PubMed Web of Science ®Google Scholar
• Machine learning for clinical decision support in infectious diseases: a narrative review of current applications. PubMed. https://pubmed.ncbi.nlm.nih.gov/31539636/. (accessed May 11, 2023).
   Google Scholar
• Johnson AEW, Bulgarelli L, Shen L, et al. MIMIC-IV, a freely accessible electronic health record dataset. Sci Data. 2023;10(1):1. doi:10.1038/s41597-022-01899-x.
   PubMed Web of Science ®Google Scholar
• Johnson AE, Stone DJ, Celi LA, et al. The MIMIC code repository: enabling reproducibility in critical care research. J Am Med Inform Assoc. 2018;25(1):32–39. doi:10.1093/jamia/ocx084.
   PubMed Web of Science ®Google Scholar
• Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract. 2012;120(4):c179–184. doi:10.1159/000339789.
   PubMedGoogle Scholar
• Van Buuren S, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Soft. 2011;45(3):1–67. doi:10.18637/jss.v045.i03.
   Web of Science ®Google Scholar
• Karatzoglou A, Hornik K, Smola A, et al. Kernlab-an S4 package for kernel methods in R. J Stat Soft. 2004;11(9):11. doi:10.18637/jss.v011.i09.
   Google Scholar
• Weihs C, Ligges U, Luebke K, et al. klaR analyzing German business cycles. 2005.
   Google Scholar
• Venables WN, Ripley BD. Classification, modern applied statistics with S. 4th ed. New York (NY): Springer; 2002. p. 331–342.
   Google Scholar
• Liaw A, Wiener M. Classification and regression by randomForest. R News. 2002;2:18–22.
   Google Scholar
• Friedman J, Tibshirani R, Hastie T. The elements of statistical learning: data mining, inference, and prediction. Springer-Verlag New York New York, 2009.
   Google Scholar
• Luo W, Phung D, Tran T, et al. Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view. J Med Internet Res. 2016;18(12):e323. doi:10.2196/jmir.5870.
   PubMed Web of Science ®Google Scholar
• Yang D, Zhao L, Kang J, et al. Development and validation of a predictive model for acute kidney injury in patients with moderately severe and severe acute pancreatitis. Clin Exp Nephrol. 2022;26(8):770–787. doi: 10.1007/s10157-022-02219-8.
   PubMed Web of Science ®Google Scholar
• Zhang XP, Wang L, Zhou YF. The pathogenic mechanism of severe acute pancreatitis complicated with renal injury: a review of current knowledge. Dig Dis Sci. 2008;53(2):297–306. doi:10.1007/s10620-007-9866-5.
   PubMed Web of Science ®Google Scholar
• Significance of serum endotoxin and antiendotoxin antibody levels in predicting the severity of acute pancreatitis. PubMed. https://pubmed.ncbi.nlm.nih.gov/12111517/. (accessed August 23, 2023).
   Google Scholar
• Yang Y, Xiao W, Liu X, et al. Machine learning-Assisted ensemble analysis for the prediction of acute pancreatitis with acute kidney injury. Int J Gen Med. 2022;15:5061–5072. doi:10.2147/IJGM.S361330.
   PubMed Web of Science ®Google Scholar
• Fei Y, Gao K, Li W-Q. Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis. Pancreatology. 2018;18(8):892–899. doi:10.1016/j.pan.2018.09.007.
   PubMed Web of Science ®Google Scholar
• Matuszkiewicz-Rowińska J, Małyszko J. Acute kidney injury, its definition, and treatment in adults: guidelines and reality. Pol Arch Intern Med. 2020;130(12):1074–1080. doi:10.20452/pamw.15373.
   PubMedGoogle Scholar
• Gaut JP, Liapis H. Acute kidney injury pathology and pathophysiology: a retrospective review. Clin Kidney J. 2021;14(2):526–536. doi:10.1093/ckj/sfaa142.
   PubMed Web of Science ®Google Scholar
• Shi N, Sun G-D, Ji Y-Y, et al. Effects of acute kidney injury on acute pancreatitis patients’ survival rate in intensive care unit: a retrospective study. World J Gastroenterol. 2021;27(38):6453–6464. doi:10.3748/wjg.v27.i38.6453.
   PubMed Web of Science ®Google Scholar
• Annane D, Renault A, Brun-Buisson C, et al. Hydrocortisone plus fludrocortisone for adults with septic shock. N Engl J Med. 2018;378(9):809–818. doi:10.1056/NEJMoa1705716.
   PubMed Web of Science ®Google Scholar
• Lee SA, Noel S, Sadasivam M, et al. Role of immune cells in acute kidney injury and repair. Nephron. 2017;137(4):282–286. doi:10.1159/000477181.
   PubMed Web of Science ®Google Scholar
• Uğurlu ET, Tercan M. The role of biomarkers in the early diagnosis of acute kidney injury associated with acute pancreatitis: evidence from 582 cases. Ulus Travma Acil Cerrahi Derg. 2022;29(1):81–93. doi:10.14744/tjtes.2022.60879.
   PubMed Web of Science ®Google Scholar
• Can neutrophil-lymphocyte ratio be independent risk factor for predicting acute kidney injury in patients with severe sepsis. PubMed. https://pubmed.ncbi.nlm.nih.gov/25394529/. (accessed August 23, 2023).
   Google Scholar
• Fischer AJ, Andreottola F, Lenz P[, et al. Acute pancreatitis in intensive care medicine : which risk score is useful.?] Med Klin Intensivmed Notfmed. 2017;112(8):717–723. doi:10.1007/s00063-017-0260-6.
   PubMed Web of Science ®Google Scholar
• Gómez H, Kellum JA. Sepsis-induced acute kidney injury. Curr Opin Crit Care. 2016;22(6):546–553. doi:10.1097/MCC.0000000000000356.
   PubMed Web of Science ®Google Scholar