-
2
-
-
79953202436
-
Acute kidney injury: What's the prognosis? Nature reviews
-
Murugan R, Kellum JA. Acute kidney injury: what's the prognosis? Nature reviews. Nephrology 2011;7:209-17.
-
(2011)
Nephrology
, vol.7
, pp. 209-217
-
-
Murugan, R.1
Kellum, J.A.2
-
3
-
-
84857082981
-
Increased risk of death and de novo chronic kidney disease following reversible acute kidney injury
-
Bucaloiu ID, Kirchner HL, Norfolk ER, Hartle JE, 2nd, Perkins RM. Increased risk of death and de novo chronic kidney disease following reversible acute kidney injury. Kidney Int 2012;81:477-85.
-
(2012)
Kidney Int
, vol.81
, pp. 477-485
-
-
Bucaloiu, I.D.1
Kirchner, H.L.2
Norfolk, E.R.3
Hartle, J.E.4
Perkins, R.M.5
-
4
-
-
77952997491
-
Transient azotaemia is associated with a high risk of death in hospitalized patients
-
Uchino S, Bellomo R, Bagshaw SM, Goldsmith D. Transient azotaemia is associated with a high risk of death in hospitalized patients. Nephrol Dial Transplant 2010;25:1833-9.
-
(2010)
Nephrol Dial Transplant
, vol.25
, pp. 1833-1839
-
-
Uchino, S.1
Bellomo, R.2
Bagshaw, S.M.3
Goldsmith, D.4
-
5
-
-
84857112728
-
Chronic kidney disease after acute kidney injury: A systematic review and meta-analysis
-
Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int 2012;81:442-8.
-
(2012)
Kidney Int
, vol.81
, pp. 442-448
-
-
Coca, S.G.1
Singanamala, S.2
Parikh, C.R.3
-
7
-
-
62349127883
-
Development and validation of an acute kidney injury risk index for patients undergoing general surgery: Results from a national data set
-
Kheterpal S, Tremper KK, Heung M, et al. Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set. Anesthesiology 2009;110:505-15.
-
(2009)
Anesthesiology
, vol.110
, pp. 505-515
-
-
Kheterpal, S.1
Tremper, K.K.2
Heung, M.3
-
9
-
-
84912555671
-
Risk of AKI with gentamicin as surgical prophylaxis
-
Bell S, Davey P, Nathwani D, et al. Risk of AKI with gentamicin as surgical prophylaxis. J Am Soc Nephrol 2014;25:2625-32.
-
(2014)
J Am Soc Nephrol
, vol.25
, pp. 2625-2632
-
-
Bell, S.1
Davey, P.2
Nathwani, D.3
-
10
-
-
84899505402
-
Perioperative acute kidney injury
-
Calvert S, Shaw A. Perioperative acute kidney injury. Periop Med 2012;1:6.
-
(2012)
Periop Med
, vol.1
, pp. 6
-
-
Calvert, S.1
Shaw, A.2
-
12
-
-
0037381968
-
ARF after open-heart surgery: Influence of gender and race
-
Thakar CV, Liangos O, Yared JP, et al. ARF after open-heart surgery: influence of gender and race. Am J Kidney Dis 2003;41:742-51.
-
(2003)
Am J Kidney Dis
, vol.41
, pp. 742-751
-
-
Thakar, C.V.1
Liangos, O.2
Yared, J.P.3
-
13
-
-
36448929512
-
Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function
-
Kheterpal S, Tremper KK, Englesbe MJ, et al. Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function. Anesthesiology 2007;107:892-902.
-
(2007)
Anesthesiology
, vol.107
, pp. 892-902
-
-
Kheterpal, S.1
Tremper, K.K.2
Englesbe, M.J.3
-
15
-
-
84901231926
-
-
University of Dundee
-
University of Dundee. Health Informatics Centre. http://medicine. dundee.ac.uk/health-informatics-centre.
-
Health Informatics Centre
-
-
-
16
-
-
84923923813
-
Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD statement
-
Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015;162:55-63.
-
(2015)
Ann Intern Med
, vol.162
, pp. 55-63
-
-
Collins, G.S.1
Reitsma, J.B.2
Altman, D.G.3
Moons, K.G.4
-
17
-
-
84921328517
-
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
-
Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ 2015;350:g7594.
-
(2015)
BMJ
, vol.350
, pp. g7594
-
-
Collins, G.S.1
Reitsma, J.B.2
Altman, D.G.3
Moons, K.G.4
-
18
-
-
84920623458
-
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration
-
Moons KG, Altman DG, Reitsma JB, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med 2015;162:W1-73.
-
(2015)
Ann Intern Med
, vol.162
, pp. W1-W73
-
-
Moons, K.G.1
Altman, D.G.2
Reitsma, J.B.3
-
20
-
-
65649142017
-
A new equation to estimate glomerular filtration rate
-
Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150:604-12.
-
(2009)
Ann Intern Med
, vol.150
, pp. 604-612
-
-
Levey, A.S.1
Stevens, L.A.2
Schmid, C.H.3
-
21
-
-
0000045607
-
New classification of physical status
-
Dripps RD. New classification of physical status. Anesthesiology 1963;24:111.
-
(1963)
Anesthesiology
, vol.24
, pp. 111
-
-
Dripps, R.D.1
-
22
-
-
0034906866
-
Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis
-
Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:774-81.
-
(2001)
J Clin Epidemiol
, vol.54
, pp. 774-781
-
-
Steyerberg, E.W.1
Harrell, F.E.2
Borsboom, G.J.3
Eijkemans, M.J.4
Vergouwe, Y.5
Habbema, J.D.6
-
23
-
-
0030069896
-
Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
-
Harrell FE, Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87.
-
(1996)
Stat Med
, vol.15
, pp. 361-387
-
-
Harrell, F.E.1
Lee, K.L.2
Mark, D.B.3
-
24
-
-
73849094087
-
Assessing the performance of prediction models: A framework for traditional and novel measures
-
Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010;21:128-38.
-
(2010)
Epidemiology
, vol.21
, pp. 128-138
-
-
Steyerberg, E.W.1
Vickers, A.J.2
Cook, N.R.3
-
25
-
-
84891834902
-
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers
-
Austin PC, Steyerberg EW. Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers. Stat Med 2014;33:517-35.
-
(2014)
Stat Med
, vol.33
, pp. 517-535
-
-
Austin, P.C.1
Steyerberg, E.W.2
-
26
-
-
67651009834
-
Clinical prediction models: A practical approach to development, validation, and updating
-
Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. Springer, 2009.
-
(2009)
Springer
-
-
Steyerberg, E.W.1
-
27
-
-
52949100612
-
Validation, updating and impact of clinical prediction rules: A review
-
Toll DB, Janssen KJ, Vergouwe Y, Moons KG. Validation, updating and impact of clinical prediction rules: a review. J Clin Epidemiol 2008;61:1085-94.
-
(2008)
J Clin Epidemiol
, vol.61
, pp. 1085-1094
-
-
Toll, D.B.1
Janssen, K.J.2
Vergouwe, Y.3
Moons, K.G.4
-
28
-
-
84860159431
-
Risk prediction models: II. External validation, model updating, and impact assessment
-
Moons KG, Kengne AP, Grobbee DE, et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart 2012;98:691-8.
-
(2012)
Heart
, vol.98
, pp. 691-698
-
-
Moons, K.G.1
Kengne, A.P.2
Grobbee, D.E.3
-
29
-
-
61449115659
-
A simple method to adjust clinical prediction models to local circumstances
-
Janssen KJ, Vergouwe Y, Kalkman CJ, Grobbee DE, Moons KG. A simple method to adjust clinical prediction models to local circumstances. Can J Anaesth 2009;56:194-201.
-
(2009)
Can J Anaesth
, vol.56
, pp. 194-201
-
-
Janssen, K.J.1
Vergouwe, Y.2
Kalkman, C.J.3
Grobbee, D.E.4
Moons, K.G.5
-
30
-
-
84884956975
-
Multiple imputation: Dealing with missing data
-
De Goeij MC, van Diepen M, Jager KJ, Tripepi G, Zoccali C, Dekker FW. Multiple imputation: dealing with missing data. Nephrol Dial Transplant 2013;28:2415-20.
-
(2013)
Nephrol Dial Transplant
, vol.28
, pp. 2415-2420
-
-
De Goeij, M.C.1
Van Diepen, M.2
Jager, K.J.3
Tripepi, G.4
Zoccali, C.5
Dekker, F.W.6
-
31
-
-
0032960273
-
Multiple imputation: A primer
-
Schafer JL. Multiple imputation: a primer. Stat Methods Med Res 1999;8:3-15.
-
(1999)
Stat Methods Med Res
, vol.8
, pp. 3-15
-
-
Schafer, J.L.1
-
32
-
-
34347407592
-
Multiple imputation of discrete and continuous data by fully conditional specification
-
Van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res 2007;16:219-42.
-
(2007)
Stat Methods Med Res
, vol.16
, pp. 219-242
-
-
Van Buuren, S.1
-
33
-
-
53049103856
-
Survival analysis: Time-dependent effects and time-varying risk factors
-
Dekker FW, de Mutsert R, van Dijk PC, Zoccali C, Jager KJ. Survival analysis: time-dependent effects and time-varying risk factors. Kidney Int 2008;74:994-7.
-
(2008)
Kidney Int
, vol.74
, pp. 994-997
-
-
Dekker, F.W.1
De Mutsert, R.2
Van Dijk, P.C.3
Zoccali, C.4
Jager, K.J.5
-
34
-
-
84951779388
-
-
Package rms [program]. 43-40 version, 2015
-
Package 'rms' [program]. 4.3-0 version, 2015.
-
-
-
-
35
-
-
84885839035
-
Novel prediction score including pre- and intraoperative parameters best predicts acute kidney injury after liver surgery
-
Slankamenac K, Beck-Schimmer B, Breitenstein S, Puhan MA, Clavien PA. Novel prediction score including pre- and intraoperative parameters best predicts acute kidney injury after liver surgery. World J Surg 2013;37:2618-28.
-
(2013)
World J Surg
, vol.37
, pp. 2618-2628
-
-
Slankamenac, K.1
Beck-Schimmer, B.2
Breitenstein, S.3
Puhan, M.A.4
Clavien, P.A.5
-
36
-
-
53749101272
-
Predicting acute renal failure after cardiac surgery: External validation of two new clinical scores
-
Candela-Toha A, Elías-Martín E, Abraira V, et al. Predicting acute renal failure after cardiac surgery: external validation of two new clinical scores. Clin J Am Soc Nephrol 2008;3:1260-5.
-
(2008)
Clin J Am Soc Nephrol
, vol.3
, pp. 1260-1265
-
-
Candela-Toha, A.1
Elías-Martín, E.2
Abraira, V.3
-
37
-
-
16344389033
-
A clinical score to predict acute renal failure after cardiac surgery
-
Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP. A clinical score to predict acute renal failure after cardiac surgery. J Am Soc Nephrol 2005;16:162-8.
-
(2005)
J Am Soc Nephrol
, vol.16
, pp. 162-168
-
-
Thakar, C.V.1
Arrigain, S.2
Worley, S.3
Yared, J.P.4
Paganini, E.P.5
-
38
-
-
34247546632
-
Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery
-
Wijeysundera DN, Karkouti K, Dupuis JY, et al. Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery. JAMA 2007;297:1801-9.
-
(2007)
JAMA
, vol.297
, pp. 1801-1809
-
-
Wijeysundera, D.N.1
Karkouti, K.2
Dupuis, J.Y.3
-
39
-
-
67649525514
-
Long-term risk of mortality and acute kidney injury during hospitalization after major surgery
-
Bihorac A, Yavas S, Subbiah S, et al. Long-term risk of mortality and acute kidney injury during hospitalization after major surgery. Ann Surg 2009;249:851-8.
-
(2009)
Ann Surg
, vol.249
, pp. 851-858
-
-
Bihorac, A.1
Yavas, S.2
Subbiah, S.3
-
40
-
-
84937845363
-
Cost and mortality associated with postoperative acute kidney injury
-
Hobson C, Ozrazgat-Baslanti T, Kuxhausen A, et al. Cost and mortality associated with postoperative acute kidney injury. Ann Surg 2015;261:1207-14.
-
(2015)
Ann Surg
, vol.261
, pp. 1207-1214
-
-
Hobson, C.1
Ozrazgat-Baslanti, T.2
Kuxhausen, A.3
-
41
-
-
77949540794
-
Commonly used surrogates for baseline renal function affect the classification and prognosis of acute kidney injury
-
Siew ED, Matheny ME, Ikizler TA, et al. Commonly used surrogates for baseline renal function affect the classification and prognosis of acute kidney injury. Kidney Int 2010;77:536-42.
-
(2010)
Kidney Int
, vol.77
, pp. 536-542
-
-
Siew, E.D.1
Matheny, M.E.2
Ikizler, T.A.3
-
42
-
-
0036675916
-
Validity of information on comorbidity derived rom ICD-9-CCM administrative data
-
Quan H, Parsons GA, Ghali WA. Validity of information on comorbidity derived rom ICD-9-CCM administrative data. Med Care 2002;40:675-85.
-
(2002)
Med Care
, vol.40
, pp. 675-685
-
-
Quan, H.1
Parsons, G.A.2
Ghali, W.A.3
-
43
-
-
7444225769
-
Common comorbidity scales were similar in their ability to predict health care costs and mortality
-
Perkins AJ, Kroenke K, Unutzer J, et al. Common comorbidity scales were similar in their ability to predict health care costs and mortality. J Clin Epidemiol 2004;57:1040-8.
-
(2004)
J Clin Epidemiol
, vol.57
, pp. 1040-1048
-
-
Perkins, A.J.1
Kroenke, K.2
Unutzer, J.3
-
44
-
-
0033609099
-
Ready-made, recalibrated, or remodeled? Issues in the use of risk indexes for assessing mortality after coronary artery bypass graft surgery
-
Ivanov J, Tu JV, Naylor CD. Ready-made, recalibrated, or remodeled? Issues in the use of risk indexes for assessing mortality after coronary artery bypass graft surgery. Circulation 1999;99:2098-104.
-
(1999)
Circulation
, vol.99
, pp. 2098-2104
-
-
Ivanov, J.1
Tu, J.V.2
Naylor, C.D.3
-
45
-
-
0033608948
-
Mathematical models and the assessment of performance in cardiology
-
Krumholz HM. Mathematical models and the assessment of performance in cardiology. Circulation 1999;99:2067-9.
-
(1999)
Circulation
, vol.99
, pp. 2067-2069
-
-
Krumholz, H.M.1
-
46
-
-
72449212256
-
Acute kidney injury in critically ill patients classified by AKIN versus RIFLE using the SAPS 3 database
-
Joannidis M, Metnitz B, Bauer P, et al. Acute kidney injury in critically ill patients classified by AKIN versus RIFLE using the SAPS 3 database. Intensive Care Med 2009;35:1692-702.
-
(2009)
Intensive Care Med
, vol.35
, pp. 1692-1702
-
-
Joannidis, M.1
Metnitz, B.2
Bauer, P.3
|