Acute Kidney Injury in the Outpatient Setting: Developing and Validating a Risk Prediction Model

Kidney Medicine - Tập 4 - Trang 100376 - 2022
Daniel Murphy1, Scott Reule2, David Vock3, Paul Drawz1
1Department of Medicine, University of Minnesota, Minneapolis, MN
2Department of Medicine, Minneapolis Veterans Health Administration, Minneapolis, MN
3Department of Medicine, and School of Public Health, University of Minnesota, Minneapolis, MN

Tài liệu tham khảo

Hsu, 2007, Community-based incidence of acute renal failure, Kidney Int, 72, 208, 10.1038/sj.ki.5002297 Sileanu, 2015, AKI in low-risk versus high-risk patients in intensive care, Clin J Am Soc Nephrol, 10, 187, 10.2215/CJN.03200314 Wonnacott, 2014, Epidemiology and outcomes in community-acquired versus hospital-acquired AKI, Clin J Am Soc Nephrol, 9, 1007, 10.2215/CJN.07920713 Kaufman, 1991, Community-acquired acute renal failure, Am J Kidney Dis, 17, 191, 10.1016/S0272-6386(12)81128-0 Soto, 2016, The risk of chronic kidney disease and mortality are increased after community-acquired acute kidney injury, Kidney Int, 90, 1090, 10.1016/j.kint.2016.07.018 Holmes, 2016, Acute kidney injury in the era of the AKI e-alert, Clin J Am Soc Nephrol, 11, 2123, 10.2215/CJN.05170516 Sawhney, 2016, KDIGO-based acute kidney injury criteria operate differently in hospitals and the community-findings from a large population cohort, Nephrol Dial Transplant, 31, 922, 10.1093/ndt/gfw052 Leither, 2019, The impact of outpatient acute kidney injury on mortality and chronic kidney disease: a retrospective cohort study, Nephrol Dial Transplant, 34, 493, 10.1093/ndt/gfy036 Jones, 2012, Association of complete recovery from acute kidney injury with incident CKD stage 3 and all-cause mortality, Am J Kidney Dis, 60, 402, 10.1053/j.ajkd.2012.03.014 Bucaloiu, 2012, Increased risk of death and de novo chronic kidney disease following reversible acute kidney injury, Kidney Int, 81, 477, 10.1038/ki.2011.405 Wu, 2014, Long-term risk of coronary events after AKI, J Am Soc Nephrol, 25, 595, 10.1681/ASN.2013060610 Chawla, 2014, Association between AKI and long-term renal and cardiovascular outcomes in United States veterans, Clin J Am Soc Nephrol, 9, 448, 10.2215/CJN.02440213 Wald, 2009, Chronic dialysis and death among survivors of acute kidney injury requiring dialysis, JAMA, 302, 1179, 10.1001/jama.2009.1322 Hobbs, 2014, Do acute elevations of serum creatinine in primary care engender an increased mortality risk?, BMC Nephrol, 15, 206, 10.1186/1471-2369-15-206 Coritsidis, 2000, Prediction of acute renal failure by "bedside formula" in medical and surgical intensive care patients, Ren Fail, 22, 235, 10.1081/JDI-100100868 Hoste, 2003, Acute renal failure in patients with sepsis in a surgical ICU: predictive factors, incidence, comorbidity, and outcome, J Am Soc Nephrol, 14, 1022, 10.1097/01.ASN.0000059863.48590.E9 Chawla, 2005, Identifying critically ill patients at high risk for developing acute renal failure: a pilot study, Kidney Int, 68, 2274, 10.1111/j.1523-1755.2005.00686.x Malhotra, 2017, A risk prediction score for acute kidney injury in the intensive care unit, Nephrol Dial Transplant, 32, 814, 10.1093/ndt/gfx026 Matheny, 2010, Development of inpatient risk stratification models of acute kidney injury for use in electronic health records, Med Decis Making, 30, 639, 10.1177/0272989X10364246 Park, 2019, Simple postoperative AKI risk (SPARK) classification before noncardiac surgery: a prediction index development study with external validation, J Am Soc Nephrol, 30, 170, 10.1681/ASN.2018070757 Tomasev, 2019, A clinically applicable approach to continuous prediction of future acute kidney injury, Nature, 572, 116, 10.1038/s41586-019-1390-1 Grams, 2015, A meta-analysis of the association of estimated GFR, albuminuria, age, race, and sex with acute kidney injury, Am J Kidney Dis, 66, 591, 10.1053/j.ajkd.2015.02.337 Levey, 1999, A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in Renal Disease Study Group, Ann Intern Med, 130, 461, 10.7326/0003-4819-130-6-199903160-00002 Levey, 2006, Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate, Ann Intern Med, 145, 247, 10.7326/0003-4819-145-4-200608150-00004 Hall, 2012, Implementation of automated reporting of estimated glomerular filtration rate among Veterans Affairs laboratories: a retrospective study, BMC Med Inform Decis Mak, 12, 69, 10.1186/1472-6947-12-69 Wang, 2014, Recognition of CKD after the introduction of automated reporting of estimated GFR in the Veterans Health Administration, Clin J Am Soc Nephrol, 9, 29, 10.2215/CJN.02490213 2013, KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease, Kidney Int Suppl, 3, 1 Wang, 2017, Community-acquired acute kidney injury: a nationwide survey in China, Am J Kidney Dis, 69, 647, 10.1053/j.ajkd.2016.10.034 Bellomo, 2004, Acute Dialysis Quality Initiative w. Acute renal failure—definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group, Crit Care, 8, R204, 10.1186/cc2872 Mehta, 2007, Acute kidney injury network: report of an initiative to improve outcomes in acute kidney injury, Crit Care, 11, R31, 10.1186/cc5713 Go, 2004, Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization, N Engl J Med, 351, 1296, 10.1056/NEJMoa041031 Liao, 2010, Selecting a cutoff point for a developmental screening test based on overall diagnostic indices and total expected utilities of professional preferences, J Formos Med Assoc, 109, 209, 10.1016/S0929-6646(10)60044-7 Thakar, 2005, A clinical score to predict acute renal failure after cardiac surgery, J Am Soc Nephrol, 16, 162, 10.1681/ASN.2004040331 Peres, 2015, Predictors of acute kidney injury and mortality in an intensive care unit, J Bras Nefrol, 37, 38 Vergouwe, 2005, Substantial effective sample sizes were required for external validation studies of predictive logistic regression models, J Clin Epidemiol, 58, 475, 10.1016/j.jclinepi.2004.06.017 Collins, 2016, Sample size considerations for the external validation of a multivariable prognostic model: a resampling study, Stat Med, 35, 214, 10.1002/sim.6787