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96      PART 1: An Overview of the Approach to and Organization of Critical Care


                 difficult to find appropriate non-corticosteroid-treated patients to use   little is known about accuracy of generalizations of scoring systems
                 as matched controls.                                  to different categories of hospitals, hospitals from different countries
                   To demonstrate that there is a corticosteroid treatment effect, it is   with different health care systems, or even different ICUs in the same
                 essential that a closely matched comparable non-corticosteroid-treated   hospital. Therefore, we believe that use of scoring systems to compare
                 control group is selected. This control group is needed to be sure that   ICU performance is limited and requires further evaluation.
                 differences between baseline clinical variables that were simply a pre-  The fourth potential use of scoring systems is to assess individual
                 dictive (of treatment response) or a prognostic (of hospital mortality)   patient prognosis and to guide care. We believe that scoring systems
                 do not account for and explain any observed difference in mortality.   have limited use for individual patient prognosis and care decisions.
                 As shown in the literature, in clinical practice corticosteroids are often   At best, they can guide physicians, families, and patients in difficult
                 given to younger patients with greater severity of disease and higher   decisions. Patients’ preferences and patients’ quality of life prior to ICU
                 doses of norepinephrine. Therefore, simply comparing the mortality   admission cannot be integrated into mathematical models.  Severity-
                 rates in all corticosteroid-treated patients to all non-corticosteroid-  of-illness scoring systems predict probability of mortality, but they are
                 treated patients in the cohort would be biased and invalid. For this   not helpful in assessing probability of death in the 6 months following
                 example, we show how to use a design-based approach of matching cases   discharge from the ICU. Finally, scoring systems do not predict quality
                 to controls to control for key baseline variables associated with risk of   of life or return to independent living of patients.
                 death and with propensity to prescribe corticosteroids to yield a control   We also recommend use of propensity scoring systems and case
                 sample that is directly comparable to the treated sample. This approach   matching of patients in observational cohorts to simulate RCTs and so
                 optimizes efficient use of resources since only a subsample of all possible   increase  our  understanding  of  the  safety  and  efficacy  of  therapeutics
                 controls is needed for detailed evaluation.           used clinically.
                   Other considerations arise if a cohort is multicenter. First, to control
                 for differences in standard of care across diverse geographic regions
                 and over time, matched patients would have to be selected within each
                 individual center from a contemporaneously enrolled population. The   KEY REFERENCES
                 optimal matching method, based on a calculated Mahalanobis distance,     • Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of
                 can be implemented using baseline demographic and disease character-  disease classification system. Crit Care Med. 1985;13:818.
                 istics that may have influenced the decision to give corticosteroids or     • Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prog-
                 that may impact survival.                                nostic system. Risk prediction of hospital mortality for critically ill
                   The statistical method for analyzing the primary efficacy variable   hospitalized adults. Chest. 1991;100:1619.
                 (hospital  mortality)  would  be  a  conditional  logistic  regression  to  be
                 consistent with such a matched-patients study design.     • Kruse JA, Thill-Baharozian MC, Carlson RW. Comparison of
                   It is recognized that this type of study uses convenience samples of   clinical assessment with APACHE II for predicting mortality
                 patients from observational cohorts. Several fundamental strengths of   risk in patients admitted to a medical intensive care unit. JAMA.
                 this design are notable. First, it is often possible to create a very large   1988;260:1739.
                 study, so statistical power is high. Second, this type of study would reflect     • Le Gall JR, Klar J, Lemeshow S, et al. The Logistic Organ
                 the use of corticosteroids in “real-world” clinical practice. Therefore, the   Dysfunction system. A new way to assess organ dysfunction in
                 effectiveness of corticosteroids would be tested in the population of   the intensive care unit. ICU Scoring Group. JAMA. 1996;276:802.
                 patients who are currently being treated with corticosteroids. The study     • Le Gall JR, Lemeshow S, Leleu G, et al. Customized probability
                 population would not represent a highly selected population, such as can   models for early severe sepsis in adult intensive care patients.
                 occur in RCTs, because enrollment in such cohorts often spans several   Intensive Care Unit Scoring Group. JAMA. 1995;273:644.
                 years and could draw from multiple jurisdictions.
                   Interestingly, a case-matched study of corticosteroid treatment of     • Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute
                 severe sepsis and septic shock that incorporated a propensity score   Physiology Score (SAPS II) based on a European/North American
                 found that  corticosteroid treatment (compared to no corticosteroid   multicenter study. JAMA. 1993;270:2957.
                 treatment) was associated with increased mortality. 128    • Lemeshow S, Teres D, Klar J, et al. Mortality Probability Models
                                                                          (MPM II) based on an international cohort of intensive care unit
                                                                          patients. JAMA. 1993;270:2478.
                 RECOMMENDATIONS FOR CLINICAL USE                          • Pollack MM, Ruttimann UE, Getson PR. Pediatric risk of mortality

                 There has been rapid growth in the number and types of severity-  (PRISM) score. Crit Care Med. 1988;16:1110.
                 of-illness scoring systems in critical care, and they are increasingly     • Raj R, Skrifvars MB, Bendel S, et al. Predicting six-month mortality
                 used for clinical research, administrative tasks, quality assurance, and   of patients with traumatic brain injury: usefulness of common
                 individual patient prognosis. Therefore, physicians and administrators   intensive care severity scores. Crit Care. 2014;18(2):R60.
                 must understand the principles underlying development and testing     • Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related
                 of these systems, as well as the sources of errors in their development,   Organ Failure Assessment) score to describe organ dysfunc-
                 to interpret the literature and to decide how and which system to use.   tion/failure. On behalf of the Working Group on Sepsis-Related
                 We recommend four uses of severity-of-illness scoring systems. First,   Problems of the European Society of Intensive Care Medicine.
                 scoring systems are useful in clinical trials and in clinical research. The   Intensive Care Med. 1996;22:707.
                 scoring system used must be validated and published in peer-reviewed
                 literature. When researchers and clinicians have a common language for     • Wagner DP, Knaus WA, Harrell FE, et al. Daily prognostic esti-
                 description of severity of illness, clinicians can compare the patients in   mates for critically ill adults in intensive care units: results from a
                 studies with the patients in their own practices to decide how the results   prospective, multicenter, inception cohort analysis. Crit Care Med.
                 of the studies influence their own practices.            1994;22:1359.
                   Second, scoring systems may be used for administrative purposes,
                 to describe resource utilization relative to acuity of illness, and to assist
                 with resource-allocation decisions.                   REFERENCES
                   The third potential use of scoring systems is to assess ICU perfor-
                 mance. However, several biases limit this application because very   Complete references available online at www.mhprofessional.com/hall








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