1
|
Bellomo R, Kellum JA, Ronco C, Wald R,
Martensson J, Maiden M, Bagshaw SM, Glassford NJ, Lankadeva Y,
Vaara ST and Schneider A: Acute kidney injury in sepsis. Intensive
Care Med. 43:816–828. 2017.PubMed/NCBI View Article : Google Scholar
|
2
|
Santos RPD, Carvalho ARS, Peres LAB, Ronco
C and Macedo E: An epidemiologic overview of acute kidney injury in
intensive care units. Rev Assoc Med Bras (1992). 65:1094–1101.
2019.PubMed/NCBI View Article : Google Scholar
|
3
|
Abd ElHafeez S, Tripepi G, Quinn R, Naga
Y, Abdelmonem S, AbdelHady M, Liu P, James M, Zoccali C and Ravani
P: Risk, predictors, and outcomes of acute kidney injury in
patients admitted to intensive care units in Egypt. Sci Rep.
7(17163)2017.PubMed/NCBI View Article : Google Scholar
|
4
|
Hobson C, Ozrazgat-Baslanti T, Kuxhausen
A, Thottakkara P, Efron PA, Moore FA, Moldawer LL, Segal MS and
Bihorac A: Cost and mortality associated with postoperative acute
kidney injury. Ann Surg. 261:1207–1214. 2015.PubMed/NCBI View Article : Google Scholar
|
5
|
Collister D, Pannu N, Ye F, James M,
Hemmelgarn B, Chui B, Manns B and Klarenbach S: Alberta Kidney
Disease Network. Health care costs associated with AKI. Clin J Am
Soc Nephrol. 12:1733–1743. 2017.PubMed/NCBI View Article : Google Scholar
|
6
|
Greenberg JH, Zappitelli M, Jia Y,
Thiessen-Philbrook HR, de Fontnouvelle CA, Wilson FP, Coca S,
Devarajan P and Parikh CR: Biomarkers of AKI progression after
pediatric cardiac surgery. J Am Soc Nephrol. 29:1549–1556.
2018.PubMed/NCBI View Article : Google Scholar
|
7
|
da Rocha EP, Yokota LG, Sampaio BM,
Cardoso Eid KZ, Dias DB, de Freitas FM, Balbi AL and Ponce D:
Urinary neutrophil gelatinase-associated lipocalin is excellent
predictor of acute kidney injury in septic elderly patients. Aging
Dis. 9:182–191. 2018.PubMed/NCBI View Article : Google Scholar
|
8
|
Hong X, Cui B, Wang M, Yang Z, Wang L and
Xu Q: Systemic immune-inflammation index, based on platelet counts
and neutrophil-lymphocyte ratio, is useful for predicting prognosis
in small cell lung cancer. Tohoku J Exp Med. 236:297–304.
2015.PubMed/NCBI View Article : Google Scholar
|
9
|
Wang D, Hu X, Xiao L, Long G, Yao L, Wang
Z and Zhou L: Prognostic nutritional index and systemic
immune-inflammation index predict the prognosis of patients with
HCC. J Gastrointest Surg: Feb 5, 2020 (Epub ahead of print).
|
10
|
Zencirkiran Agus H and Kahraman S:
Prognostic nutritional index predicts one-year outcome in heart
failure with preserved ejection fraction. Acta Cardiol. 75:450–455.
2020.PubMed/NCBI View Article : Google Scholar
|
11
|
Salati M, Filippi R, Vivaldi C, Caputo F,
Leone F, Salani F, Cerma K, Aglietta M, Fornaro L, Sperti E, et al:
The prognostic nutritional index predicts survival and response to
first-line chemotherapy in advanced biliary cancer. Liver Int.
40:704–711. 2020.PubMed/NCBI View Article : Google Scholar
|
12
|
Cheng Y, Li H, Li D, Liang L, Jia Y, Zou
L, Li F, Zhu X, Qian H, He N, et al: Prognostic nutritional index
may not be a good prognostic indicator for acute myocardial
infarction. Sci Rep. 9(14717)2019.PubMed/NCBI View Article : Google Scholar
|
13
|
Cheng YL, Sung SH, Cheng HM, Hsu PF, Guo
CY, Yu WC and Chen CH: Prognostic nutritional index and the risk of
mortality in patients with acute heart failure. J Am Heart Assoc.
6(e004876)2017.PubMed/NCBI View Article : Google Scholar
|
14
|
Scrutinio D, Lanzillo B, Guida P,
Passantino A, Spaccavento S and Battista P: Association between
malnutrition and outcomes in patients with severe ischemic stroke
undergoing rehabilitation. Arch Phys Med Rehabil. 101:852–860.
2020.PubMed/NCBI View Article : Google Scholar
|
15
|
Dolapoglu A, Avci E, Kiris T and Bugra O:
The predictive value of the prognostic nutritional index for
postoperative acute kidney injury in patients undergoing on-pump
coronary bypass surgery. J Cardiothorac Surg. 14(74)2019.PubMed/NCBI View Article : Google Scholar
|
16
|
Johnson AE, Pollard TJ, Shen L, Lehman LW,
Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA and Mark RG:
MIMIC-III, a freely accessible critical care database. Sci Data.
3(160035)2016.PubMed/NCBI View Article : Google Scholar
|
17
|
Hu Y, Liu H, Fu S, Wan J and Li X: Red
blood cell distribution width is an independent predictor of AKI
and mortality in patients in the coronary care unit. Kidney Blood
Press Res. 42:1193–1204. 2017.PubMed/NCBI View Article : Google Scholar
|
18
|
Singh P, Pathak S and Sharma RM: A
comparison of acute physiology and chronic health evaluation III
and simplified acute physiology score II in predicting sepsis
outcome in intensive care unit. Anesth Essays Res. 12:592–597.
2018.PubMed/NCBI View Article : Google Scholar
|
19
|
Schwandt A, Denkinger M, Fasching P,
Pfeifer M, Wagner C, Weiland J, Zeyfang A and Holl RW: Comparison
of MDRD, CKD-EPI, and cockcroft-gault equation in relation to
measured glomerular filtration rate among a large cohort with
diabetes. J Diabetes Complications. 31:1376–1383. 2017.PubMed/NCBI View Article : Google Scholar
|
20
|
Kellum JA and Lameire N: Diagnosis,
evaluation, and management of acute kidney injury: A KDIGO summary
(Part 1). Crit Care. 17(204)2013.PubMed/NCBI View
Article : Google Scholar
|
21
|
Singbartl K and Kellum JA: AKI in the ICU:
Definition, epidemiology, risk stratification, and outcomes. Kidney
Int. 81:819–825. 2012.PubMed/NCBI View Article : Google Scholar
|
22
|
Zhang Y, Jiang L, Wang B and Xi X:
Epidemiological characteristics of and risk factors for patients
with postoperative acute kidney injury: A multicenter prospective
study in 30 Chinese intensive care units. Int Urol Nephrol.
50:1319–1328. 2018.PubMed/NCBI View Article : Google Scholar
|
23
|
Pencina MJ, D'Agostino RB Sr, D'Agostino
RB Jr and Vasan RS: Evaluating the added predictive ability of a
new marker: From area under the ROC curve to reclassification and
beyond. Stat Med. 27:157–172, 207-212. 2008.PubMed/NCBI View
Article : Google Scholar
|
24
|
Cook NR: Statistical evaluation of
prognostic versus diagnostic models: Beyond the ROC curve. Clin
Chem. 54:17–23. 2008.PubMed/NCBI View Article : Google Scholar
|
25
|
Min JY, Woo A, Chae MS, Hong SH, Park CS,
Choi JH and Chung HS: Predictive impact of modified-prognostic
nutritional index for acute kidney injury within 1-week after
living donor liver transplantation. Int J Med Sci. 17:82–88.
2020.PubMed/NCBI View Article : Google Scholar
|
26
|
Hori S, Miyake M, Morizawa Y, Nakai Y,
Onishi K, Iida K, Gotoh D, Anai S, Torimoto K, Aoki K, et al:
Impact of preoperative abdominal visceral adipose tissue area and
nutritional status on renal function after donor nephrectomy in
Japanese living donors for renal transplantation. Ann Transplant.
23:364–376. 2018.PubMed/NCBI View Article : Google Scholar
|
27
|
Peng F, Chen W, Zhou W, Li P, Niu H, Chen
Y, Zhu Y and Long H: Low prognostic nutritional index associated
with cardiovascular disease mortality in incident peritoneal
dialysis patients. Int Urol Nephrol. 49:1095–1101. 2017.PubMed/NCBI View Article : Google Scholar
|
28
|
Cai L, Yu J, Yu J, Peng Y, Ullah H, Yi C,
Lin J, Yang X and Yu X: Prognostic value of inflammation-based
prognostic scores on outcome in patients undergoing continuous
ambulatory peritoneal dialysis. BMC Nephrol. 19(297)2018.PubMed/NCBI View Article : Google Scholar
|
29
|
Chen KH, Wu CH, Hsu CW, Chen YM, Weng SM,
Yang CW and Hung CC: Protein nutrition index as a function of
patient survival rate in peritoneal dialysis. Kidney Blood Press
Res. 33:174–180. 2010.PubMed/NCBI View Article : Google Scholar
|
30
|
Hartz LLK, Stroup BM, Bibelnieks TA,
Shockey C and Ney DM: ThedaCare nutrition risk screen improves the
identification of non-intensive care unit patients at risk for
malnutrition compared with the nutrition risk screen 2002. JPEN J
Parenter Enteral Nutr. 43:70–80. 2019.PubMed/NCBI View Article : Google Scholar
|
31
|
Puthucheary ZA, Rawal J, McPhail M,
Connolly B, Ratnayake G, Chan P, Hopkinson NS, Phadke R, Dew T,
Sidhu PS, et al: Acute skeletal muscle wasting in critical illness.
JAMA. 310:1591–1600. 2013.PubMed/NCBI View Article : Google Scholar
|
32
|
Bang JY, Kim SO, Kim SG, Song JG, Kang J,
Kim JW and Ha S: Impact of the serum albumin level on acute kidney
injury after cerebral artery aneurysm clipping. PLoS One.
13(e206731)2018.PubMed/NCBI View Article : Google Scholar
|
33
|
Piggott KD, Liu A, Monczka J, Fakioglu H,
Narasimhulu SS, Pourmoghadam K and DeCampli W: Inadequate
preoperative nutrition might be associated with acute kidney injury
and greater illness severity postoperatively. J Thorac Cardiovasc
Surg. 155:2104–2109. 2018.PubMed/NCBI View Article : Google Scholar
|
34
|
White JV, Guenter P, Jensen G, Malone A
and Schofield M: Academy of Nutrition and Dietetics Malnutrition
Work Group; A.S.P.E.N. Malnutrition Task Force; A.S.P.E.N. Board of
Directors. Consensus statement of the academy of nutrition and
Dietetics/American society for parenteral and enteral nutrition:
Characteristics recommended for the identification and
documentation of adult malnutrition (undernutrition). J Acad Nutr
Diet. 112:730–738. 2012.PubMed/NCBI View Article : Google Scholar
|
35
|
Rabb H, Griffin MD, McKay DB, Swaminathan
S, Pickkers P, Rosner MH, Kellum JA and Ronco C: Acute Dialysis
Quality Initiative Consensus XIII Work Group. Inflammation in AKI:
Current understanding, key questions, and knowledge gaps. J Am Soc
Nephrol. 27:371–379. 2016.PubMed/NCBI View Article : Google Scholar
|
36
|
Zhang H, Tao Y, Wang Z and Lu J:
Evaluation of nutritional status and prognostic impact assessed by
the prognostic nutritional index in children with chronic kidney
disease. Medicine (Baltimore). 98(e16713)2019.PubMed/NCBI View Article : Google Scholar
|
37
|
Itami Y, Miyake M, Tatsumi Y, Gotoh D,
Hori S, Morizawa Y, Iida K, Ohnishi K, Nakai Y, Inoue T, et al:
Preoperative predictive factors focused on inflammation-,
nutrition-, and muscle-status in patients with upper urinary tract
urothelial carcinoma undergoing nephroureterectomy. Int J Clin
Oncol. 24:533–545. 2019.PubMed/NCBI View Article : Google Scholar
|
38
|
Kalisvaart M, Schlegel A, Umbro I, de Haan
JE, Polak WG, IJzermans JN, Mirza DF, Perera MTP, Isaac JR,
Ferguson J, et al: The AKI prediction Score: A new prediction model
for acute kidney injury after liver transplantation. HPB (Oxford).
21:1707–1717. 2019.PubMed/NCBI View Article : Google Scholar
|
39
|
Patidar KR, Xu C, Shamseddeen H, Cheng YW,
Ghabril MS, Mukthinuthalapati VVPK, Fricker ZP, Akinyeye S, Nephew
LD, Desai AP, et al: Development and validation of a model to
predict acute kidney injury in hospitalized patients with
cirrhosis. Clin Transl Gastroenterol. 10(e00075)2019.PubMed/NCBI View Article : Google Scholar
|
40
|
Asfar P, Meziani F, Hamel JF, Grelon F,
Megarbane B, Anguel N, Mira JP, Dequin PF, Gergaud S, Weiss N, et
al: High versus low blood-pressure target in patients with septic
shock. N Engl J Med. 370:1583–1593. 2014.PubMed/NCBI View Article : Google Scholar
|
41
|
Kwon HM, Moon YJ, Jung KW, Jeong HW, Park
YS, Jun IG, Song JG and Hwang GS: Low mean arterial blood pressure
is independently associated with postoperative acute kidney injury
after living donor liver transplantation: A propensity score
weighing analysis. Ann Transplant. 23:236–245. 2018.PubMed/NCBI View Article : Google Scholar
|