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Volumn 12, Issue 2, 2010, Pages 83-89

Readmission to intensive care: development of a nomogram for individualising risk

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; FEMALE; HOSPITAL READMISSION; HUMAN; INTENSIVE CARE UNIT; MIDDLE AGED; NOMOGRAM; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS;

EID: 77955063195     PISSN: 14412772     EISSN: 26529335     Source Type: Journal    
DOI: 10.1016/S1441-2772(23)01519-3     Document Type: Article
Times cited : (44)

References (29)
  • 1
    • 33646893658 scopus 로고    scopus 로고
    • Readmission to surgical intensive care increases severity-adjusted patient mortality
    • Alban, R.F., Nisim, A.A., Ho, J., et al. Readmission to surgical intensive care increases severity-adjusted patient mortality. J Trauma 60 (2006), 1027–1031.
    • (2006) J Trauma , vol.60 , pp. 1027-1031
    • Alban, R.F.1    Nisim, A.A.2    Ho, J.3
  • 2
    • 0033887704 scopus 로고    scopus 로고
    • Patients readmitted to ICUs*: a systematic review of risk factors and outcomes
    • Rosenberg, A.L., Watts, C., Patients readmitted to ICUs*: a systematic review of risk factors and outcomes. Chest 118 (2000), 492–502.
    • (2000) Chest , vol.118 , pp. 492-502
    • Rosenberg, A.L.1    Watts, C.2
  • 3
    • 44449100810 scopus 로고    scopus 로고
    • Intensive care unit readmission: the issue is safety not frequency
    • Zimmerman, J.E., Intensive care unit readmission: the issue is safety not frequency. Crit Care Med 36 (2008), 984–985.
    • (2008) Crit Care Med , vol.36 , pp. 984-985
    • Zimmerman, J.E.1
  • 4
    • 44449160571 scopus 로고    scopus 로고
    • The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation
    • Gajic, O., Malinchoc, M., Comfere, T.B., et al. The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation. Crit Care Med 36 (2008), 676–682.
    • (2008) Crit Care Med , vol.36 , pp. 676-682
    • Gajic, O.1    Malinchoc, M.2    Comfere, T.B.3
  • 5
    • 43249110131 scopus 로고    scopus 로고
    • Predicting death and readmission after intensive care discharge
    • Campbell, A.J., Cook, J.A., Adey, G., et al. Predicting death and readmission after intensive care discharge. Br J Anaesth 100 (2008), 656–662.
    • (2008) Br J Anaesth , vol.100 , pp. 656-662
    • Campbell, A.J.1    Cook, J.A.2    Adey, G.3
  • 6
    • 61749091244 scopus 로고    scopus 로고
    • The effect of comorbidities on risk of intensive care readmission during the same hospitalization: a linked data cohort study
    • Ho, K.M., Dobb, G.J., Lee, K.Y., et al. The effect of comorbidities on risk of intensive care readmission during the same hospitalization: a linked data cohort study. J Crit Care 24 (2009), 101–107.
    • (2009) J Crit Care , vol.24 , pp. 101-107
    • Ho, K.M.1    Dobb, G.J.2    Lee, K.Y.3
  • 7
    • 0035107461 scopus 로고    scopus 로고
    • Who bounces back? Physiologic and other predictors of intensive care unit readmission
    • Rosenberg, A.L., Hofer, T.P., Hayward, R.A., et al. Who bounces back? Physiologic and other predictors of intensive care unit readmission. Crit Care Med 29 (2001), 511–518.
    • (2001) Crit Care Med , vol.29 , pp. 511-518
    • Rosenberg, A.L.1    Hofer, T.P.2    Hayward, R.A.3
  • 8
    • 0026532892 scopus 로고
    • Reliability of a measure of severity of illness: acute physiology of chronic health evaluation — II
    • Damiano, A.M., Bergner, M., Draper, E.A., et al. Reliability of a measure of severity of illness: acute physiology of chronic health evaluation — II. J Clin Epidemiol 45 (1992), 93–101.
    • (1992) J Clin Epidemiol , vol.45 , pp. 93-101
    • Damiano, A.M.1    Bergner, M.2    Draper, E.A.3
  • 9
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: development and validation
    • Charlson, M.E., Pompei, P., Ales, K.L., et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40 (1987), 373–383.
    • (1987) J Chronic Dis , vol.40 , pp. 373-383
    • Charlson, M.E.1    Pompei, P.2    Ales, K.L.3
  • 10
    • 0036675916 scopus 로고    scopus 로고
    • Validity of information on comorbidity derived from ICD-9-CCM administrative data
    • Quan, H., Parsons, G.A., Ghali, W.A., Validity of information on comorbidity derived from ICD-9-CCM administrative data. Med Care 40 (2002), 675–685.
    • (2002) Med Care , vol.40 , pp. 675-685
    • Quan, H.1    Parsons, G.A.2    Ghali, W.A.3
  • 11
    • 67349229532 scopus 로고    scopus 로고
    • Severity of illness and risk of readmission to intensive care: a meta-analysis
    • Frost, S.A., Alexandrou, E., Bogdanovski, T., et al. Severity of illness and risk of readmission to intensive care: a meta-analysis. Resuscitation 80 (2009), 505–510.
    • (2009) Resuscitation , vol.80 , pp. 505-510
    • Frost, S.A.1    Alexandrou, E.2    Bogdanovski, T.3
  • 12
    • 0003732572 scopus 로고    scopus 로고
    • Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis
    • Springer New York
    • Harrell, F.E., Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. 2001, Springer, New York.
    • (2001)
    • Harrell, F.E.1
  • 13
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell, F.E. Jr., Lee, K.L., Mark, D.B., Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15 (1996), 361–387.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 14
    • 11144288616 scopus 로고    scopus 로고
    • Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example
    • Moons, K.G.M., Donders, A.R.T., Steyerberg, E.W., et al. Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example. J Clin Epidemiol 57 (2004), 1262–1270.
    • (2004) J Clin Epidemiol , vol.57 , pp. 1262-1270
    • Moons, K.G.M.1    Donders, A.R.T.2    Steyerberg, E.W.3
  • 15
    • 2642619414 scopus 로고    scopus 로고
    • Development of a clinical prediction model for an ordinal outcome: the World Health Organization multicentre study of clinical signs and etiological agents of pneumonia, sepsis and meningitis in young infants. WHO/ARI Young Infant Multicentre Study Group
    • Harrell, F.E. Jr., Margolis, P.A., Gove, S., et al. Development of a clinical prediction model for an ordinal outcome: the World Health Organization multicentre study of clinical signs and etiological agents of pneumonia, sepsis and meningitis in young infants. WHO/ARI Young Infant Multicentre Study Group. Stat Med 17 (1998), 909–944.
    • (1998) Stat Med , vol.17 , pp. 909-944
    • Harrell, F.E.1    Margolis, P.A.2    Gove, S.3
  • 16
    • 84863304598 scopus 로고    scopus 로고
    • R: a language and environment for statistical computing
    • R Foundation for Statistical Computing Vienna, Austria
    • R Development Core Team, R: a language and environment for statistical computing. 2008, R Foundation for Statistical Computing, Vienna, Austria.
    • (2008)
    • R Development Core Team1
  • 17
    • 0037302908 scopus 로고    scopus 로고
    • Critically ill patients readmitted to intensive care units — lessons to learn?
    • Metnitz, P.G., Fieux, F., Jordan, B., et al. Critically ill patients readmitted to intensive care units — lessons to learn?. Intensive Care Med 29 (2003), 241–248.
    • (2003) Intensive Care Med , vol.29 , pp. 241-248
    • Metnitz, P.G.1    Fieux, F.2    Jordan, B.3
  • 18
    • 33749338093 scopus 로고    scopus 로고
    • Nomograms and medicine
    • Bianco, F.J. Jr., Nomograms and medicine. Eur Urol 50 (2006), 884–886.
    • (2006) Eur Urol , vol.50 , pp. 884-886
    • Bianco, F.J.1
  • 19
    • 33749249942 scopus 로고    scopus 로고
    • Prostate cancer nomograms: an update
    • Chun, F.K.H., Karakiewicz, P.I., Briganti, A., et al. Prostate cancer nomograms: an update. Eur Urol 50 (2006), 914–926.
    • (2006) Eur Urol , vol.50 , pp. 914-926
    • Chun, F.K.H.1    Karakiewicz, P.I.2    Briganti, A.3
  • 20
    • 34047099256 scopus 로고    scopus 로고
    • Role of nomograms for prostate cancer in 2007
    • Chun, F.K.H., Karakiewicz, P.I., Huland, H., et al. Role of nomograms for prostate cancer in 2007. World J Urol 25 (2007), 131–142.
    • (2007) World J Urol , vol.25 , pp. 131-142
    • Chun, F.K.H.1    Karakiewicz, P.I.2    Huland, H.3
  • 21
    • 7644224728 scopus 로고    scopus 로고
    • Validation of the postoperative nomogram for 12-year sarcoma-specific mortality
    • Eilber, F.C., Brennan, M.F., Eilber, F.R., et al. Validation of the postoperative nomogram for 12-year sarcoma-specific mortality. Cancer 101 (2004), 2270–2275.
    • (2004) Cancer , vol.101 , pp. 2270-2275
    • Eilber, F.C.1    Brennan, M.F.2    Eilber, F.R.3
  • 22
    • 0034010518 scopus 로고    scopus 로고
    • Measuring comorbidity in older cancer patients
    • Extermann, M., Measuring comorbidity in older cancer patients. Eur J Cancer 36 (2000), 453–471.
    • (2000) Eur J Cancer , vol.36 , pp. 453-471
    • Extermann, M.1
  • 23
    • 0037336502 scopus 로고    scopus 로고
    • Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer
    • Kattan, M.W., Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer. Curr Opin Urol 13 (2003), 111–116.
    • (2003) Curr Opin Urol , vol.13 , pp. 111-116
    • Kattan, M.W.1
  • 24
    • 0038159910 scopus 로고    scopus 로고
    • Prediction of progression: nomograms of clinical utility
    • Kattan, M.W., Scardino, P.T., Prediction of progression: nomograms of clinical utility. Clin Prostate Cancer 1 (2002), 90–96.
    • (2002) Clin Prostate Cancer , vol.1 , pp. 90-96
    • Kattan, M.W.1    Scardino, P.T.2
  • 25
    • 34147141844 scopus 로고    scopus 로고
    • Development of a nomogram for prediction of vaginal birth after cesarean delivery
    • Grobman, W.A., Lai, Y., Landon, M.B., et al. Development of a nomogram for prediction of vaginal birth after cesarean delivery. Obstet Gynecol 109 (2007), 806–812.
    • (2007) Obstet Gynecol , vol.109 , pp. 806-812
    • Grobman, W.A.1    Lai, Y.2    Landon, M.B.3
  • 26
    • 34347382021 scopus 로고    scopus 로고
    • Development of a nomogram for individualizing hip fracture risk in men and women
    • Nguyen, N.D., Frost, S.A., Center, J.R., et al. Development of a nomogram for individualizing hip fracture risk in men and women. Osteoporos Int 18 (2007), 1109–1117.
    • (2007) Osteoporos Int , vol.18 , pp. 1109-1117
    • Nguyen, N.D.1    Frost, S.A.2    Center, J.R.3
  • 27
    • 33847670094 scopus 로고    scopus 로고
    • A nomogram for predicting osteoporosis risk based on age, weight and quantitative ultrasound measurement
    • Pongchaiyakul, C., Panichkul, S., Songpatanasilp, T., et al. A nomogram for predicting osteoporosis risk based on age, weight and quantitative ultrasound measurement. Osteoporos Int 18 (2007), 525–531.
    • (2007) Osteoporos Int , vol.18 , pp. 525-531
    • Pongchaiyakul, C.1    Panichkul, S.2    Songpatanasilp, T.3
  • 28
    • 33745286267 scopus 로고    scopus 로고
    • Prognostic nomogram for renal insufficiency after radical or partial nephrectomy
    • Sorbellini, M., Kattan, M.W., Snyder, M.E., et al. Prognostic nomogram for renal insufficiency after radical or partial nephrectomy. J Urol 176 (2006), 472–476.
    • (2006) J Urol , vol.176 , pp. 472-476
    • Sorbellini, M.1    Kattan, M.W.2    Snyder, M.E.3
  • 29
    • 0242383452 scopus 로고    scopus 로고
    • Effect of the critical care outreach team on patient survival to discharge from hospital and readmission to critical care: non-randomised population based study
    • Ball, C., Kirkby, M., Williams, S., Effect of the critical care outreach team on patient survival to discharge from hospital and readmission to critical care: non-randomised population based study. BMJ 327 (2003), 1014–1017.
    • (2003) BMJ , vol.327 , pp. 1014-1017
    • Ball, C.1    Kirkby, M.2    Williams, S.3


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