Common laboratory tests predict imminent death in ward patients.

OBJECTIVE To estimate the ability of commonly measured laboratory variables to predict an imminent (within the same or next calendar day) death in ward patients. DESIGN Retrospective observational study. SETTING Two university affiliated hospitals. PATIENTS Cohort of 42,701 patients admitted for more than 24 hours and external validation cohort of 13,137 patients admitted for more than 24 hours. INTERVENTION We linked commonly measured laboratory tests with event databases and assessed the ability of each laboratory variable or combination of variables together with patient age to predict imminent death. MEASUREMENTS AND MAIN RESULTS In the inception teaching hospital, we studied 418,897 batches of tests in 42,701 patients (males 55%; average age 65.8 ± 17.6 years), for a total of >2.5 million individual measurements. Among these patients, there were 1596 deaths. Multivariable logistic modelling achieved an AUC-ROC of 0.87 (95% CI: 0.85-0.89) for the prediction of imminent death. Using an additional 105,074 batches from a cohort of 13,137 patients from a second teaching hospital, the multivariate model achieved an AUC-ROC of 0.88 (95% CI: 0.85-0.90). CONCLUSIONS Commonly performed laboratory tests can help predict imminent death in ward patients. Prospective investigations of the clinical utility of such predictions appear justified.

[1]  M. Rovers,et al.  Differences in mortality on the basis of laboratory parameters in an unselected population at the Emergency Department , 2005, Clinical chemistry and laboratory medicine.

[2]  B. Lindahl,et al.  Normal plasma levels of cardiac troponin I measured by the high-sensitivity cardiac troponin I access prototype assay and the impact on the diagnosis of myocardial ischemia. , 2009, Journal of the American College of Cardiology.

[3]  K. Hillman,et al.  Findings of the First Consensus Conference on Medical Emergency Teams* , 2006, Critical care medicine.

[4]  R. Fitzgerald,et al.  Pro-B-type natriuretic peptide levels in acute decompensated heart failure. , 2008, Journal of the American College of Cardiology.

[5]  P. C. Weaver,et al.  Towards a national clinical minimum data set for general surgery , 2003, The British journal of surgery.

[6]  Michael Bailey,et al.  Bedside electronic capture of clinical observations and automated clinical alerts to improve compliance with an Early Warning Score protocol. , 2011, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[7]  C. Vincent,et al.  Adverse events in British hospitals: preliminary retrospective record review , 2001, BMJ : British Medical Journal.

[8]  L. Forni,et al.  Identifying the sick: can biochemical measurements be used to aid decision making on presentation to the accident and emergency department. , 2005, British journal of anaesthesia.

[9]  P. C. Weaver,et al.  The use of routine laboratory data to predict in-hospital death in medical admissions. , 2005, Resuscitation.

[10]  D. Hire,et al.  Longitudinal analysis of one million vital signs in patients in an academic medical center. , 2011, Resuscitation.

[11]  J. Zimmerman,et al.  Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited* , 2007, Critical care medicine.

[12]  Daryl A Jones,et al.  CURRENT CONCEPTS Rapid-Response Teams , 2011 .

[13]  M. Buist,et al.  Six year audit of cardiac arrests and medical emergency team calls in an Australian outer metropolitan teaching hospital , 2007, BMJ : British Medical Journal.

[14]  J. Zimmerman,et al.  Outcome prediction in critical care: the Acute Physiology and Chronic Health Evaluation models , 2008, Current opinion in critical care.

[15]  Daryl A Jones,et al.  Rapid-response teams. , 2011, The New England journal of medicine.

[16]  Daryl A Jones,et al.  Characteristics and outcomes of patients receiving a medical emergency team review for acute change in conscious state or arrhythmias* , 2008, Critical care medicine.

[17]  Rinaldo Bellomo,et al.  The effectiveness of implementation of the medical emergency team (MET) system and factors associated with use during the MERIT study. , 2007, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[18]  J. Bion,et al.  Introduction of medical emergency teams in Australia and New Zealand: a multicentre study , 2008, Critical care.

[19]  B. Arnrich,et al.  Current determinants of 30-day and 3-month mortality in over 2000 aortic valve replacements: Impact of routine laboratory parameters. , 2006, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[20]  J. Peabody,et al.  The Australian Health Care System , 1996 .

[21]  Daryl A Jones,et al.  Antecedents to cardiac arrests in a hospital equipped with a medical emergency team. , 2011, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[22]  C. Walshe,et al.  Urinary glutathione S-transferase as an early marker for renal dysfunction in patients admitted to intensive care with sepsis. , 2009, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[23]  C. Subbe,et al.  Validation of a modified Early Warning Score in medical admissions. , 2001, QJM : monthly journal of the Association of Physicians.

[24]  M. Pencina,et al.  Routine Laboratory Results and Thirty Day and One-Year Mortality Risk Following Hospitalization with Acute Decompensated Heart Failure , 2010, PloS one.

[25]  S. Bagshaw Subclinical acute kidney injury: a novel biomarker-defined syndrome. , 2011, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[26]  Eduard E Vasilevskis,et al.  Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV. , 2009, Chest.

[27]  S. Sheps,et al.  The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada , 2004, Canadian Medical Association Journal.

[28]  Gary B. Smith,et al.  ViEWS--Towards a national early warning score for detecting adult inpatient deterioration. , 2010, Resuscitation.

[29]  Daryl A Jones,et al.  Patient monitoring and the timing of cardiac arrests and medical emergency team calls in a teaching hospital , 2006, Intensive Care Medicine.

[30]  Daryl A Jones,et al.  Characteristics and outcomes of patients receiving a medical emergency team review for respiratory distress or hypotension. , 2008, Journal of critical care.

[31]  K. Hillman,et al.  Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial , 2005, The Lancet.

[32]  T. Mathevon,et al.  Accuracy of C-reactive protein, procalcitonin, and mid-regional pro-atrial natriuretic peptide to guide site of care of community-acquired pneumonia , 2010, Intensive Care Medicine.

[33]  P. Young,et al.  A retrospective cohort study of the effect of medical emergency teams on documentation of advance care directives. , 2011, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[34]  R Bellomo,et al.  MET: the emergency medical team or the medical education team? , 2004, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[35]  Daryl A Jones,et al.  Long term effect of a medical emergency team on cardiac arrests in a teaching hospital , 2005, Critical care.

[36]  D. Harrison,et al.  Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward , 2007, Intensive Care Medicine.

[37]  M. Rovers,et al.  Differences in mortality on the basis of complete blood count in an unselected population at the emergency department. , 2006, Laboratory hematology : official publication of the International Society for Laboratory Hematology.

[38]  A. Flabouris,et al.  Medical reviews before cardiac arrest, medical emergency call or unanticipated intensive care unit admission: their nature and impact on patient outcome. , 2011, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[39]  R. Bellomo,et al.  A prospective study of factors influencing the outcome of patients after a Medical Emergency Team review , 2008, Intensive Care Medicine.

[40]  P. Froom,et al.  Prediction of hospital mortality rates by admission laboratory tests. , 2006, Clinical chemistry.

[41]  R. Bellomo,et al.  An assessment of the RIFLE criteria for acute renal failure in hospitalized patients* , 2006, Critical care medicine.

[42]  Gary King,et al.  Logistic Regression in Rare Events Data , 2001, Political Analysis.

[43]  Rinaldo Bellomo,et al.  The Medical Journal of Australia ISSN: , 2000 .

[44]  N. Beeching,et al.  Laboratory risk factors for hospital mortality in acutely admitted patients. , 2007, QJM : monthly journal of the Association of Physicians.

[45]  Rinaldo Bellomo,et al.  The relationship between early emergency team calls and serious adverse events* , 2009, Critical care medicine.

[46]  B. Waxman,et al.  Recognising clinical instability in hospital patients before cardiac arrest or unplanned admission to intensive care: A pilot study in a tertiary‐care hospital , 1999, The Medical journal of Australia.

[47]  D. Goldhill,et al.  Physiological abnormalities in early warning scores are related to mortality in adult inpatients. , 2004, British journal of anaesthesia.

[48]  A. Huisman,et al.  Clinical laboratory findings associated with in-hospital mortality. , 2006, Clinica chimica acta; international journal of clinical chemistry.

[49]  Marilyn D. Paterno,et al.  Electronic alerts to prevent venous thromboembolism among hospitalized patients , 2005 .

[50]  K. Hillman,et al.  The Medical Emergency Team , 1995, Anaesthesia and intensive care.

[51]  Rinaldo Bellomo,et al.  Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systematic review and meta-analysis. , 2009, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[52]  Paul J Sharek,et al.  Effect of a rapid response team on hospital-wide mortality and code rates outside the ICU in a Children's Hospital. , 2007, JAMA.

[53]  J. Birkmeyer,et al.  Major surgery in Victoria and the United States: a comparison of hospital mortality in older patients. , 2008, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[54]  Ian M Hastings,et al.  Prediction of hospital mortality from admission laboratory data and patient age: A simple model , 2011, Emergency medicine Australasia : EMA.

[55]  M Pine,et al.  Laboratory values improve predictions of hospital mortality. , 1998, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[56]  Graeme J Duke,et al.  Improving the documentation of medical emergency team reviews. , 2008, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.