MTM can be the vehicle to allow pharmacists to serve an integral role in applying
pharmacogenomics into clinical practice to improve the quality and safety of health
care. Incorporating pharmacogenomics into MTMS allows pharmacists to lend their
expertise to the treatment planning process to optimize treatment outcomes.
Pharmacists, working collaboratively with prescribers and laboratory facilities,
could review medications prescribed for a patient as well as the patient’s genomic
data to then offer an assessment on whether a prospective drug would provide the
best fit for the condition and patient. Through MTMS and pharmacogenomics,
pharmacists can optimize drug choice and maximize therapy outcomes (see Chapter
4, Pharmacogenomics and Personalized Medicine).
In order to successfully integrate a pharmacogenomic component within the
clinical decision making process, key pharmacogenomic data must be identified. The
challenge is complex, and research has begun to bring the application of
pharmacogenomics to patients as part of the health care delivery system. The
pharmacy profession must define a process for the application of pharmacogenomic
data into pharmacy clinical practice that is aligned with MTMS delivery. A viable
business model should be developed for these practices that encourages and
promotes the use of the clinical expertise of pharmacists working in collaboration
with other health care providers and laboratories. The development of technology
solutions that support the pharmacist’s role in this emerging field should also be
MTMS are intended to be applicable to patients in all care settings where the
patients or their caregivers can be actively involved with managing their medication
therapy. The goals of all pharmacists providing MTMS are to confirm that the
patient’s medication therapy is ideal and that the best possible outcomes from
treatment are achieved. The MTM process needs to be properly documented and
accurately shared with all providers that are part of the patient’s health care team. As
drug therapy and technology options continue to evolve, pharmacists are encouraged
to provide and optimize MTMS to improve patient outcomes and medication use.
The authors acknowledge Mary Anne Koda-Kimble, Wayne Kradjan, Robin Corelli,
Lloyd Young, B. Joseph Guglielmo, Brian Alldredge, Marilyn Stebbins, Timothy
Cutler, and Patricia Parker for their contributions to the version of this chapter found
A full list of references for this chapter can be found at
http://thepoint.lww.com/AT11e. Below are the key references and websites for this
chapter, with the corresponding reference number in this chapter found in parentheses
Assoc (2003). 2005;45(5):566. (1)
for Electronic Health Record Technology. Fed Regist. 2010;75(144):44589. (15)
Health Care and Education Reconciliation Act of 2010. Pub L No. 111-152, 124 Stat 1029. (6)
Hepler CD, Strand LM. Opportunities and responsibilities in pharmaceutical care. Am J Hosp Pharm.
Patient Protection and Affordable Care Act (PPACA). Pub L No. 111-148, 124 Stat 119. (5)
Washington, DC: American Pharmacists Association; 2007. (3)
National Patient Safety Goals. Joint Commission on Accreditation of Healthcare Organizations.
http://www.jointcommission.org/standards_information/npsgs.aspx. Accessed June 17, 2015. (11)
COMPLETE REFERENCES CHAPTER 1 MEDICATION
THERAPY MANAGEMENT AND ASSESSMENT OF
Assoc (2003). 2005;45(5):566–572.
Hepler CD, Strand LM. Opportunities and responsibilities in pharmaceutical care. Am J Hosp Pharm.
Washington, DC: American Pharmacists Association; 2007.
amended at scattered sections of 42 USC. Enacted March 23, 2010.
for Healthcare Research and Quality; 2014. Accessed June 17, 2015.
ASHP-APhA Medication Reconciliation Initiative Workgroup Meeting, February 12, 2007.
National Patient Safety Goals. Joint Commission on Accreditation of Healthcare Organizations.
https://www.jointcommission.org/standards_information/npsgs.aspx. Accessed July 4, 2017. Accessed
National Patient Safety Goals. Joint Commission on Accreditation of Healthcare Organizations.
http://www.jointcommission.org/standards_information/npsgs.aspx. Accessed June 17, 2015.
National Community Pharmacist Association, NCPA Summary of CMS 2013 Final Call Letter.
http://www.ncpanet.org/pdf/NCPA-Summary-of-CMS-2013-Final-Call-Letter.pdf. Accessed June 17,
for Electronic Health Record Technology. Fed Regist. 2010;75(144):44589.
Guilford Press; 1991. Pp. xvii + 348.
Center for Substance Abuse Treatment. Enhancing Motivation for Change in Substance Abuse Treatment.
Rockville (MD): Substance Abuse and Mental Health Services Administration (US); 1999. (Treatment
Available from: http://www.ncbi.nlm.nih.gov/books/NBK64964/.
J Health Syst Pharm. 2002;59(22):2221.
Health Syst Pharm. 2007;64(8):850.
hospital. Ann Intern Med. 2003;138(3):161.
Bourgeois FT et al. Adverse drug events in the outpatient setting: an 11-year national analysis.
Pharmacoepidemiol Drug Saf. 2010;19(9):901.
for health care providers; final rule. Fed Regist. 2004;69(15):3433.
diabetes care program. J Am Pharm Assoc (Wash). 2003;43(2):173.
the job? Health Aff (Millwood). 2009;28(1):64.
Smith M et al. Why pharmacists belong in the medical home. Health Aff (Millwood). 2010;29(5):906.
Force on Practice Guidelines. J Am Coll Cardiol. 2014;63 (25, pt B):2889–2934.
American Pharmacists Association. Integrating pharmacogenomics into pharmacy practice via medication
therapy management. J Am Pharm Assoc. 2011;51:e64–e74.
Laboratory findings should be used to complement other subjective and
objective findings and must not be evaluated in isolation. The values
must be assessed in context of the clinicalsituation and incorporate
understanding of human physiology.
Lack of availability, expense, or inconvenience may limit the usefulness
of some clinical laboratory tests. Estimations by means of equations or
nomograms may be used in clinical practice to overcome these barriers.
Test reliability is impacted by various factors including statistical and
preanalytical variations, accuracy, and precision.
Laboratory findings can be helpful in assessing clinical disorders,
establishing a diagnosis, assessing drug therapy, or evaluating disease
This chapter provides the reader with an overview of laboratory tests commonly
used in clinical practice. Specialized laboratory tests, which are used to monitor
specific disease states or specific drug therapies, are integrated into the case
histories, questions, and answers in the disease-specific chapters of this textbook.
Over-the-counter or patient-directed laboratory tests are briefly discussed at the end
of this chapter because of their increased availability and use. All stated laboratory
ranges were obtained from the key references listed at the end of this chapter.
Generally, laboratory tests should be ordered only if the results of the test will guide
decisions about the care of the patient. Serum, urine, and other bodily fluids can be
analyzed routinely; however, the economic cost and impact on the quality of life
related to obtaining these data must always be balanced by benefit to patient-specific
The term reference range is typically preferred in clinical practice rather than normal
range because there are several factors that contribute to the “normal” value for each
individual. Laboratory findings, within and outside the reference range, can be
helpful in assessing clinical disorders, establishing a diagnosis, assessing drug
therapy, or evaluating disease progression. In addition, baseline laboratory tests are
often necessary to evaluate disease progression and response to therapy or to monitor
the development of toxicities associated with therapy.
When assessing laboratory findings, it is important to be mindful that values
outside the reference range may not require clinical intervention. Values must be
assessed in context of the clinical situation and incorporate understanding of human
physiology. Likewise, values that fall within the reference range may need further
assessment secondary to limitations of the test or impact of biologic or physiologic
considerations. Laboratory findings should also be used to complement other
subjective and objective findings and must not be evaluated in isolation.
Laboratory test results are specific to the clinical laboratory conducting the test
and can vary based on the type of equipment and testing methods used. Consequently,
clinicians should rely on reference ranges listed by their own clinical laboratory
when assessing laboratory tests.
The reference ranges provided in this chapter are for general illustrative purposes.
When applying this information to the clinical setting, appropriate clinical
assessment and judgment should be applied. Patient-specific attributes such as the
individual’s age, sex, race, clinical presentation, and lifestyle are factors that may
influence reported laboratory results and, therefore, must be taken into consideration.
Statistical and preanalytical variations are common and must also be evaluated in
context of the result obtained. Refer to Table 2-1 for examples of common
As a result of probability, if the same test is completed multiple times on the same
sample, typically 1 of 20 results or 5% will be reported outside of the provided
reference range. Indicators of test reliability include accuracy, precision, sensitivity,
and specificity. Precision refers to the repeatability of a laboratory test (i.e., test
results fall within a similar value when repeated), whereas accuracy is the ability of
a test to provide a result that is reflective of the “true” value (i.e., the test result
matches the actual real value). Quality control and assurance practices at each
laboratory are monitored regularly to ensure reliability of results. Typically, if a
result is obtained that is significantly outside the reference range, the laboratory will
repeat the test to confirm or refute the finding.
Preanalytical Variation: Factors Affecting the Test Result from the Time the
Test Is Ordered Until It Arrives at the Laboratory
Incorrect test ordered Albumin ordered to assess impact of recent dietary change
(prealbumin better marker for acute changes)
Sample incorrectly labeled Sample obtained from one patient and labeled with another name
Improper preparation for test Fasting indicated but not followed: fasting glucose, complete lipid
Pretest medications not administered in the appropriate manner
Pretest diet restrictions not met: rare meat ingested before guaiac
Medication Medication interfered with testing procedure or by pharmacologic
effect: β-agonist can reduce serum potassium concentrations,
thiazides can increase serum uric acid levels
Improper timing of test Vancomycin trough taken after first dose (rather than before the
aPTT measured 2 hours after initial dose (rather than 6 hours after
Fasting glucose test completed shortly after a meal, TSH
measured 2 weeks after dose change (rather than 4–6 weeks after
Collection incomplete or improper Abnormal 24-hour urine collection secondary to patient forgetting
to void in provided container, blood specimen obtained from
extremity with IV infusion site resulting in dilutional effect of
glucose, BUN, and electrolytes, specimen collected in incorrect
Improper handling or storage Hyperkalemia because of hydrolysis of blood specimen
Poor accuracy or precision Faulty or outdated laboratory reagents in use
Technical Result incorrectly read, computer keying error
Sex Many laboratory findings are sex dependent
Age Neonatal, pediatric, adult, and geriatric populations have unique
reference ranges for numerous laboratory tests
Pregnancy Gestationalstatus impacts numerous laboratory findings: alkaline
phosphatase, cholesterol, iron, etc.
Posture Being in upright position during laboratory sampling can increase
Exercise Strenuous exercise before testing can impact lactate, creatine
kinase, ALT, AST, uric acid, etc.
Normal physiologic fluctuations Circadian rhythm can impact cortisol, serum iron, serum creatinine,
Medical procedures Blood transfusion with red blood cells before hemoglobin A1c
measured results in normal A1c
for poorly controlled individual
with diabetes, creatine kinase elevated secondary to recent
(also glycosylated hemoglobin); ALT, alanine aminotransferase; aPTT, activated partial
Research studies generally establish the sensitivity and specificity of laboratory
tests. Clinically, these are essential to distinguish the presence or absence of a
disease or condition. Sensitivity is the ability of the test to correctly identify the
disease or condition. If a test is 95% sensitive, then 95% of the individuals will be
correctly identified as having the disease or condition, but 5% will have a negative
test result even though they have the disease or condition (false negative). Specificity
is the ability of the test to rule out individuals who do not have the disease or
condition. If a test is 95% specific, then 95% of the individuals without disease will
have a correct negative result, but 5% will be identified as having the disease or
condition even though they are negative (false positive).
The International System of Units (SI) reports clinical laboratory values using the
metric system. The basic unit of mass for the SI system is the mole, which is not
influenced by the added weight of salt or ester formulations. Therefore, the mole is
technically and pharmacologically more meaningful than the gram because each
physiologic reaction occurs on a molecular level. Efforts to implement the SI system
internationally for laboratory test reports have been resisted in the United States.
Despite adopting SI transition policies in the late 1980s, major American medical
journals have since reverted back to the traditional units for laboratory test
In this chapter, reference ranges for common laboratory tests are
presented in both conventional and SI units, along with “conversion factors” to
interchange traditional and SI units (Tables 2-2 and 2-3).
Blood Chemistry Reference Values
1 Low sodium is usually caused by excess
water (e.g., ↑ serum antidiuretic hormone)
and is treated with water restriction. ↑ in
severe dehydration, diabetes insipidus,
significant renal and GI losses
injuries. ↓ by diuretics, alkalosis, severe
vomiting and diarrhea, heavy NG
content 21–32 mEq/L 21–32 mmol/L 1 Sum of HCO3− and dissolved CO2
Reflects acid–base balance and
(HCO3−) mechanisms. Primarily reflects
1 Important for acid–base balance. ↓ by GI
loss of chloride-rich fluid (vomiting,
diarrhea, GI suction, intestinal fistulas,
0.357 End product of protein metabolism,
produced by liver, transported in blood,
excreted renally. ↑ in renal dysfunction,
high protein intake, upper GI bleeding,
Creatinine ≤1.5 mg/dL ≤133 μmol/L 88.4 Major constituent of muscle; rate of
formation constant; affected by muscle
mass (lower with aging and gender);
excreted renally. ↑ in renal dysfunction.
Used as a primary marker for renal
CrCl 90–130 mL/minute 1.5–2.16 mL/s 0.01667 Reflects GFR; ↓ in renal dysfunction.
Used to adjust dosage of renally
n/a n/a Possibly a more accurate reflection of
renal function than CrCl. Still influenced
Cystatin C <1.0 mg/dL <0.749 μmol/L 0.749 Indicator of renal function—not influenced
by patient muscle mass, age, or sex. May
also help predict patients at risk for
0.05551 ↑ in diabetes or by adrenal corticosteroids
3.8%–6.4% 3.8%–6.4% 1 Used to assess average blood glucose over
1–3 months. Used to diagnose diabetes,
monitor disease progression, and/or assess
Calcium—total 8.6–10.3 mg/dL 2.2–2.74
0.250 Regulated by body skeleton redistribution,
parathyroid hormone, vitamin D, calcitonin.
Affected by changes in albumin
concentration. Total calcium ↓ when
albumin ↓ (the serum total calcium
concentration falls by 0.8 mg/dL for every
1-g/dL fall in serum albumin concentration).
↓ by hypothyroidism, loop diuretics, vitamin
D deficiency; ↑ in malignancy and
4.4–5.1 mg/dL 1–1.3 mmol/L 0.250 Physiologically active form. Unbound
“free” calcium remains unchanged as
Magnesium 1.3–2.2 mEq/L 0.65–1.1
0.51 ↓ in malabsorption, severe diarrhea,
alcoholism, pancreatitis, diuretics,
hyperaldosteronism (symptoms of
weakness, depression, agitation, seizures,
hypokalemia, arrhythmias). ↑ in renal
failure, hypothyroidism, magnesiumcontaining antacids
0.323 ↑ with renal dysfunction, hypervitaminosis
D, hypocalcemia, hypoparathyroidism. ↓
with excess aluminum antacids,
malabsorption, renal losses, hypercalcemia,
Uric acid 3–8 mg/dL <0.42 mmol/L 0.06 ↑ in gout, neoplastic, or myeloproliferative
disorders, and drugs (diuretics, niacin, lowdose salicylate, cyclosporine)
Prealbumin 19.5–35.8 mg/dL 195–358 mg/L 10 Indicates acute changes in nutritionalstatus,
Albumin 3.6–5 g/dL 36–50 g/L 10 Produced in liver; important for
intravascular osmotic pressure. ↓ in liver
disease, malnutrition, ascites, hemorrhage,
protein-wasting nephropathy. May influence
Globulin 2.3–3.5 g/dL 23–35 g/L 10 Active role in immunologic mechanisms.
Immunoglobulins ↑ in chronic infection,
rheumatoid arthritis, multiple myeloma
0.01667 In tissues that use high energy (skeletal
muscle, myocardium, brain). ↑ by IM
injections, MI, acute psychotic episodes.
Isoenzyme CK-MM in skeletal muscle;
CK-MB in myocardium; CK-BB in brain.
MB fraction >5%–6% suggests acute MI
cTnI 0–0.04 ng/mL 0–0.04 mcg/L 1 More specific than CK-MB for myocardial
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