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Science Snippets
APACHE II mortality prediction, health symptoms and disability, and pharmacists and diabetes management teams
L. Douglas Ried, PhD
J Am Pharm Assoc. 2012;52:552. doi:10.1331/JAPhA.2012.12530
Seven pharmacists were part of a team concluding that “the APACHE II score may be a valid tool to control for confounding or for the prediction of death among ICU and non-ICU patients with MRSA bacteremia.”+1 The acute physiology and chronic health evaluation (APACHE) II score was developed and validated for use among intensive care unit (ICU) patients, but its utility among non-ICU patients is unknown. Retrospective data from about 200 patients were abstracted, including illness severity (APACHE II score); in-hospital vital status at 48 hours, 7 days, 14 days, and 30 days following the start of methicillin-resistant Staphylococcus aureus (MRSA)-targeted therapy; and notation of an ICU admission at the time of MRSA bacteremia onset. In-hospital mortality and overall mortality were modeled using logistic regression at each time point using APACHE II scores for ICU and non-ICU patients. A model that included APACHE II scores was compared with an age-adjustment-alone model among all patients. APACHE II was a significantly better predictor of death at all time points in both ICU and non-ICU patients compared with random prediction and significantly improved the prediction of overall and 48-hour mortality compared with age adjustment alone.
Implications. Differences in disease severity in acute treatment episodes for seriously ill patients can be a vexing confounding factor in comparative effectiveness studies. This work provides a validated measure that can be used to control for confounding based on sound physiologic principles. Development and validation of other measures for this purpose (i.e., confounding) that can have widespread acceptance for incorporation into comparative effectiveness studies are needed.
Patterson et al.+2 reported that pain and fatigue were “found to partially mediate the effects of disability on self-reported general health status and physical functioning.” A sample of 12,249 adults 40 years or older provided responses to questions about symptom prevalence and frequencies for 21 commonly reported symptoms, self-perceived health status, physical functioning, number of medications, and demographic variables. Adults with disability reported significantly greater prevalence and frequencies for all 21 symptoms, with pain and fatigue being the most common.
Implications. Managing medication therapies that minimize pain and fatigue can have a considerable impact on patient quality of life. Other studies have shown the correlation between disability and independent living. A compelling study for the future might be one that examines the association between medication therapy management and independent living.
Pepper et al.+3 concluded that “a pharmacist as a part of the diabetes management team may result in lower A1C in patients with more advanced and uncontrolled type 2 diabetes mellitus versus a health care team without a pharmacist.” Their conclusions were based on assessment of the change in glycosylated hemoglobin (A1C) for patients with type 2 diabetes in outpatient clinics. Patients were assigned to either the pharmacist (n = 86) or nonpharmacist (n = 86) group, depending on whether a pharmacist was in the clinic. The primary end point was the absolute change in A1C versus baseline after 3 months. Secondary end points included change in cholesterol and blood pressure at the time of the final visit. Compared with the nonpharmacist group, patients in the pharmacist group had more advanced and uncontrolled diabetes at baseline. Even so, the pharmacist group showed a greater percent change in A1C and improvement between the initial and final clinic visits after adjusting for baseline confounders. Moreover, patients in the pharmacist group were hospitalized less frequently and required fewer nonscheduled clinic visits.
Implications. Patients with severe diabetes were assigned to teams that included pharmacists and resulted in better clinical and service use outcomes. The authors also concluded that “as outpatient diabetes management is progressing toward medical home models, this study supports the initiatives to implement pharmacists into diabetes management teams.”
Stevens V, Lodise TP, Tsuji B, et al. The utility of acute physiology and chronic health evaluation II scores for prediction of mortality among intensive care unit (ICU) and non-ICU patients with methicillin-resistant Staphylococcus aureus bacteremia.  Infect Control Hosp Epidemiol. 2012;33:558–64.[CrossRef]
 
Patterson BJ, Doucette WR, Lindgren SD, Chrischilles EA.  Living with disability: patterns of health problems and symptom mediation of health consequences [published online ahead of print, April 23, 2012].  Disabil Health J.
 
Pepper MJ, Mallory N, Coker TN, et al. Pharmacists' impact on improving outcomes in patients with type 2 diabetes mellitus.  Diabetes Educ. 2012;38:409–16.[CrossRef]
 
The Science Snippets column highlights research articles published by APhA Academy of Pharmaceutical Research and Sciences (APhA–APRS) and APhA Academy of Pharmacy Practice and Management (APhA–APPM) members in journals other than JAPhA. Members of both Academies are encouraged to forward the PubMed citation or an electronic version of their article, as soon as they appear or ahead of print, to Contributing Editor L. Douglas Ried, PhD, at lried@health.usf.edu.

References

Stevens V, Lodise TP, Tsuji B, et al. The utility of acute physiology and chronic health evaluation II scores for prediction of mortality among intensive care unit (ICU) and non-ICU patients with methicillin-resistant Staphylococcus aureus bacteremia.  Infect Control Hosp Epidemiol. 2012;33:558–64.[CrossRef]
 
Patterson BJ, Doucette WR, Lindgren SD, Chrischilles EA.  Living with disability: patterns of health problems and symptom mediation of health consequences [published online ahead of print, April 23, 2012].  Disabil Health J.
 
Pepper MJ, Mallory N, Coker TN, et al. Pharmacists' impact on improving outcomes in patients with type 2 diabetes mellitus.  Diabetes Educ. 2012;38:409–16.[CrossRef]
 
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