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Volume 46, Issue 6, Pages 1129-1139 (December 2005)


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Pharmacology

Mark A. Perazella, MDCorresponding Author Informationemail address, Chirag Parikh, MD, PhD

Received 13 May 2005; accepted 13 July 2005. published online 27 October 2005.

Article Outline

Pharmacology: General Principles

Definitions

Pharmacokinetics

Clinical Pharmacokinetics

Pharmacodynamics

Pharmacogenetics

Pharmacokinetics

Absorption

Bioavailability

Distribution

Biotransformation (Metabolism)

Excretion

Pharmacodynamics

Pharmacodynamics of Medications

Pharmacogenetics

Pharmacogenetics of Patients

Pharmacogenetic Polymorphisms

Drug Dosing in Kidney Disease

Pharmacologic Alterations With Renal Dysfunction

Clinical Evaluation

Kidney Function Tests

Acute Renal Failure

Drug Dosing in Kidney Disease

Drug Dosing Uses Half-life (T)

Initial or Loading Dose

Maintenance Dose

Caution With Prescription Drugs

Extracorporeal Removal of Drugs

Hemodialysis

Peritoneal Dialysis

Continuous Renal Replacement Therapies

Slow Low-Efficiency Daily Dialysis (SLEDD)

Additional reading

Copyright

Pharmacology: General Principles 

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It is important to understand how to appropriately prescribe medications to patients with various levels of acute or chronic kidney disease (CKD), particularly those undergoing some form of renal replacement therapy. Drug effects and their handling by the body also are influenced by underlying comorbidities, age, liver function, nutritional status, critical illness, and other concurrently prescribed medications. This is best achieved by developing a firm grasp of the following concepts.

Definitions 

Pharmacokinetics 

Defined as process by which a drug is absorbed, bound to protein (or not), distributed to various tissue compartments, and ultimately metabolized (biotransformation) or excreted intact

Table 1 summarizes components of pharmacokinetics
Table 1.

Pharmacokinetics of Drugs

Absorption of medications into the systemic circulation
Enteral (oral, buccal, rectal)
Parenteral (IV, intramuscular, subcutaneous)
Other (transdermal, inhalation)
Distribution of drugs and metabolites in tissues
Target (receptor) site
Nonreceptor tissues
Elimination organs
Biotransformation (metabolism) of drugs
Hepatic:
Phase I metabolism:
Microsomal enzyme mixed-function oxidase system
Phase II metabolism:
Conjugation system
Elimination of drugs and metabolites from body
Metabolism (as above)
Excretion:
Kidneys primarily
Bile, sweat, saliva (minor contribution)
Dialysis removal

Clinical Pharmacokinetics 

Refers to application of pharmacokinetic methods to drug therapy in humans

Utilizes a multidisciplinary approach to individually optimize drug dosing strategies based on such patient characteristics as age, sex, disease state(s), genetics, and ethnic differences

Table 2 demonstrates pharmacokinetic changes that occur with various patient characteristics
Table 2.

Pharmacokinetic Changes Associated With Various Comorbidities

Kinetic FactorPathophysiologic ChangeDrug Effect
Absorption↓GI acidity and pill interactions↓Absorption of certain drugs
↓Small-bowel surface area↓Absorption of certain sustained-release medications
Distribution↑Adipose tissue↑Half-life of lipid-soluble drugs
↓Lean body mass↓Drug dose
↓Albumin↑Active (unbound) drug
MetabolismPhase I (↑ or ↓)↑ or ↓ Half-life of drugs metabolized by this route
Phase II (↑ or ↓)↑ or ↓ Half-life of drugs metabolized by this route
Excretion↓RPF, ↓GFR↑Half-life of drugs that are excreted by kidneys

Abbreviations: GI, gastrointestinal; RPF, renal plasma flow.

Changes present in patients with CKD.


Pharmacodynamics 

Refers to how medications affect the patient

Represents interaction of a drug with its target site (receptor) and the pharmacologic response that results

Reflects relationship between achieved drug concentrations at receptor and associated pharmacologic response

Pharmacogenetics 

Refers to how genetic differences in patients influence their respective responses to drugs; these genetic differences give rise to interpatient variation in drug absorption, distribution, biotransformation, and elimination

Pharmacokinetics 

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Absorption and bioavailability refer to the process of drug uptake into the body and ultimate level achieved within systemic circulation.

Absorption 

Drug must pass from absorption site through or around layers of cells, unless it is administered parenterally, before it gains access into the circulation

Gastrointestinal absorption may be decreased in patients with advanced kidney disease for various reasons:
Absorption is dependent on physicochemical properties of drugs, nature of drug product, and anatomy and physiologic functions at site of drug absorption

Parenteral, enteral, inhalation, transdermal, or intranasal routes for systemic absorption are available (Table 3)
Table 3.

Medication Administration Routes and Bioavailability

RouteBioavailabilityAdvantagesDisadvantages
Parenteral
IV bolusSystemic absorption (100%)Immediate effectIncreased risk of adverse effect
IV infusionSystemic absorption (100%); rate of absorption controlledDrug levels more precisely controlled; tissue damage at injection siteDifficulty in administration; infection risk
IMVariable absorption (<100%)Simpler therapy than IV infusionIrritating or painful
SQVariable absorption (<100%)Self-administrationIrritating or painful
Enteral
BuccalRapid absorption of lipid-soluble drugsNo first-pass effect; useful if patient cannot swallowDrug may be swallowed
OralAbsorption variable; slower rate of absorption than IV or IMSafest and easiest route; may use immediate and slow-release drugsPossible erratic absorption; first-pass (liver or GI)
RectalVariable absorption; more reliable absorption with enemaUseful when patient cannot swallow; local and systemic effects achievedErratic absorption; suppository migration and discomfort
TransdermalSlow absorption; variable rate of absorptionSimple to use; useful for patients who cannot swallowIrritation possible; permeability of skin variable
InhalationRapid absorption (<100%)Useful for local or systemic effectsParticle size determines lung distribution

Abbreviations: IM, intramuscular; SQ, subcutaneous; GI, gastrointestinal.


There are 2 major factors to consider regarding drug absorption:
Extent of drug absorption

Rate of drug absorption



Bioavailability 

Bioavailability of drugs is percentage or fraction of administered drug that reaches systemic circulation

Drugs that are administered by intravenous (IV) route have complete bioavailability (F = 1.0); bioavailability is ≤1.0 for all other administration routes because of incomplete absorption and “first-pass” hepatic metabolism

Absorption from gastrointestinal tract can be reduced for several reasons:
Removal of drug:
Nasogastric suction and vomiting


Gastric pH change (↑pH):
Salivary urea converted to ammonia in patients with kidney disease

Acid inhibition, ie, with H2-blockers and proton pump inhibitors


Altered gastrointestinal peristalsis:
Gastroparesis (diabetic and uremic)

Ileus


Reduced gut function:
Pancreatitis

Complete or partial bowel obstruction

Uremia (decreased small-bowel absorptive function)


Diminished absorptive surface area:
Small-intestine resection of >100 cm of ileum


Decreased splanchnic blood flow:
Intravascular volume depletion

Heart failure


Concomitant drug administration:
Phosphate binders, etc



Presystemic metabolism or first-pass metabolism reduces drug levels in those that undergo significant intestinal mucosal cell or hepatic metabolism:
IV/oral dose ratio is low (∼1:4) due to first-pass metabolism of drugs with 100% absorption

Impaired hepatic blood flow can impair first-pass metabolism and change the expected IV/oral dose ratio; pathologic states that cause this effect include:
Congestive heart failure (CHF)

Circulatory collapse

Cirrhosis

Uremia



Drugs given by subcutaneous, intramuscular, or transdermal routes have variable absorption due to multiple causes:
Variability in local perfusion of injection site

Changes in local pH

Site-specific factors:
Skin breakdown

Scar tissue

Hematoma formation (uremia)

Amount of fat tissue



Distribution 

Distribution of drugs occurs after systemic absorption

Distribution sites include receptors (site of drug action), excretory organs, and other tissues

Factors that influence drug distribution and increase risk for drug toxicity include:
Body weight and composition
Decreased lean body mass with increased adipose tissue is associated with larger volume of distribution (Vd) for lipophilic drugs:
Aging

Female sex

Chronic illness (including CKD)

Critical illness (including acute renal failure [ARF])



Protein binding:
Diminished protein binding increases unbound (free) drug, which increases drug effect and toxicity:
Aging

Hepatic disease

Nephrotic syndrome

Acute and chronic illness (eg, ARF, CKD, sepsis, critical illness, malignancy)


Protein binding in uremic patients is reduced by the following factors:
Reduced albumin and other plasma protein concentrations

Altered protein-binding affinity induced by uremia-associated changes in albumin structural orientation

Accumulated endogenous substances that compete with drug binding to sites on proteins



Drug solubility (water or lipophilic)

Volume of distribution (apparent Vd):
Vd is ratio of amount of drug in body compared with its plasma concentration

Reflects a theoretical space that estimates initial dose of drug required to reach a therapeutic plasma concentration

Note that a large Vd is >0.7 L/kg

Examples of Vd:
Small Vd (limited to extracellular fluid [ECF] space) = water-soluble drugs, high protein binding

Large Vd (penetrate body tissues) = lipid-soluble drugs


Influenced by several disease states:
Kidney disease (↑Vd)

Liver disease (↑Vd)

Edematous patients (↑Vd)

Aging (↑Vd)

Critically ill (↑Vd)

Volume depletion (↓Vd)


Increased Vd occurs in these patients due to expanded ECF volume and changes in concentrations and characteristics of binding proteins, while volume depletion (↓ECF volume) decreases the Vd

Clearance of a drug is expressed as half-life (T1/2); T1/2 of a drug, which is time required for drug to decline to half its concentration, is proportional to Vd and inversely proportional to clearance



Biotransformation (Metabolism) 

Biotransformation of drug involves its enzymatic conversion to metabolite(s), some of which may be physiologically active

Liver is primary organ of metabolism, with minor but sometimes relevant contributions from kidney

Drug biotransformation is modulated by the following factors:
Age

Sex

Enzyme inhibition or induction

Genetic variability (genetic polymorphisms)

Pathologic states affecting hepatic function

Kidney disease and uremia slow reduction and hydrolysis reactions


Drugs undergo metabolism by 2 basic reactions:
Phase I metabolism (microsomal enzyme mixed-function oxidase system):
Cytochrome P450 (CYP450) enzyme system metabolizes ∼40% to 50% of all medications

Primarily liver, small amounts in kidney, small bowel, and brain

CYP450 system consists of >20 enzyme families; those noted in Table 4 metabolize a significant number of drugs
Table 4.

Major CYP450 Enzymes With Common Substrates, Inhibitors, and Inducers

EnzymesSubstratesInhibitorsInducers
CYP1A2Phenothiazines, amitriptylineCimetidine, diltiazem, ciprofloxacinRifampin, phenobarbital, tobacco
CYP2C9Naproxen, warfarin, glyburideFluconazole, cimetidine, isoniazidRifampin, secobarbital
CYP2C19Phenytoin, diazepam, PPIs, amitriptylineFluoxetine, cimetidine, omeprazoleRifampin, carbamazepine
CYP2D6Oxycodone, haloperidol, phenothiazinesBupropion, cimetidine, paroxetineRifampin, dexamethasone
CYP3A3/4Benzodiazepines, SSRIs, steroids, macrolidesCimetidine, erythromycin, diltiazemPhenytoin, rifampin, St John’s wort

Abbreviations: PPIs, proton pump inhibitors; SSRIs, selective serotonin reuptake inhibitors.


CYP450 enzymes possess genetic polymorphisms that influence drug metabolism (see later)

Several medications that induce, inhibit, and act as substrates for CYP450 enzymes are prescribed to patients with various forms and levels of kidney disease, increasing potential for lack of efficacy, as well as toxicity (Table 4)


Phase II metabolism (conjugation system):
Glucuronidation, sulfation, and acetylation of drugs into inactive compounds

Less important than CYP450 system



Excretion 

Excretion of drugs involves removal of parent drug or its metabolite (from hepatic biotransformation) from the body

Pathways of excretion follow:
Kidney (majority of excretion)

Bile

Sweat

Saliva


Renal excretion of drugs occurs through glomerular filtration and tubular secretion and reabsorption; it is influenced by renal blood flow, glomerular filtration rate (GFR), and urinary flow rate:
Glomerular elimination is influenced by both degree of protein binding and molecular size of drug

Tubular secretion of drugs is higher with those that are protein bound and increases with uremia; however, with advanced kidney disease, drug clearance is significantly impaired despite tubular secretion


All of these can be affected by the following factors, which can impair elimination of drug and cause potential toxicity:
ARF

CKD

Aging

Medications that interact with either organic anion or cation transporters in proximal tubular cells (Fig 1):
Drugs that compete with organic anion transporter secretory pathways include nucleotide analogues, probenecid, penicillins, cephalosporins, salicylates, diuretics, and radiocontrast media; drug elimination is impaired

Drugs that compete with common organic cation transporter secretory pathways include trimethoprim, quinidine, cimetidine, acyclovir, and protease inhibitors; drug elimination is impaired


View full-size image.

Fig 1. Schematic model of renal proximal tubule with organic anion and cation transporters. Both endogenous substances and drugs are secreted and reabsorbed by these transporters. Patients with renal failure may develop toxicity due to competition for these pathways of secretion due to endogenous substances and medications that compete for these transporters (see text). Abbreviations: OA, organic anion; OC, organic cation; OAT, OA transporter; OCT, OC transporter; PEPT 1/2, peptide transporters 1 and 2; MRP2, multidrug-resistant transporter.




Pharmacodynamics 

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Pharmacodynamics of Medications 

The term pharmacodynamics refers to the interaction of a drug with its target site (receptor), resulting in a pharmacologic response. It reflects the relationship between achieved drug concentrations at the receptor and associated pharmacologic response (linking drug dose to drug effect). The pharmacologic effect of the drug as measured by onset, intensity, and duration are dependent on the following factors (which primarily determine drug concentration at receptor):

Drug dose

Drug pharmacokinetics

Other factors that modify the magnitude of drug effect:
Ability of target organ to respond to receptor activation

Receptor number at target organ

Counterregulatory influences (competing processes) at receptor


A number of pharmacodynamic changes are associated with pathologic processes, such as aging, acute and chronic illness, and renal dysfunction; they include:
Decreased receptor number

Diminished receptor binding

Altered signal transduction


Numerous medications interact and compete for similar receptors, resulting in several clinical effects:
Synergistic effects

Antagonistic effects

Drug toxicity may result


Examples of influence of various factors on pharmacodynamics, which may cause reduced efficacy or toxicity, include the following:
Older age delays onset of muscle relaxant effect compared with that seen in younger adults, despite equal achieved drug concentration

Female sex increases adverse events from a monoamine oxidase inhibitor independent of drug exposure level

Ethnicity influences sensitivity (Asian > white > African American) to β-adrenergic receptor antagonist despite similar drug exposure and β-receptor density

Interaction of warfarin and vitamin K affects anticoagulation; large amounts of vitamin K in diet reduce efficacy of warfarin

Exposure to nicotine, through its effect to increase blood pressure and heart rate, blunts effect of a β-adrenergic receptor antagonist to reduce these physiologic parameters


Pharmacogenetics 

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Pharmacogenetics of Patients 

Genetic makeup of a patient importantly influences inherent pharmacokinetics, ultimately giving rise to interpatient variation in drug absorption, distribution, biotransformation, and elimination. These differences are explained in part by genetic variations in the following factors:

Transport protein function (affect drug absorption):
P-Glycoprotein

Organic anion transporting polypeptide


Drug target response (affect drug response):
β2-Adrenergic receptors


Phase I and II enzyme system function (affect drug metabolism):
Phase I metabolism:
CYP450 enzymes


Phase II metabolism:
N-Acetyltransferase 2

Thiopurine S-methyltransferase



Pharmacogenetic Polymorphisms 

This term refers to the setting where greater than 1% of a population has many different forms of CYP450 enzyme (or other) genes that give rise to interethnic variability in expression

Clinical implication of this genetic variability is such that standard drug doses metabolized by a polymorphic enzyme cause the following effects:
Lack of drug effect

Prolonged therapeutic effect

Drug toxicity


Phenotype expression related to genetic differences in a patient’s enzyme activity includes the following metabolizer designations:
Poor metabolizer:
Dysfunctional or inactive enzymes

Impaired clearance of medications requiring biotransformation for elimination


Intermediate metabolizer:
Decreased enzyme activity

Reduced drug metabolism


Extensive metabolizer:
Normal enzyme activity

Standard medication response


Ultrarapid extreme metabolizer:
Higher quantities of expressed enzymes due to gene duplication

Reduced or absent drug efficacy due to rapid metabolism



Clinical genetics research will provide a future opportunity to incorporate pharmacogenetics into drug development, allowing individualization of drug dosing

Drug Dosing in Kidney Disease 

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Pharmacologic Alterations With Renal Dysfunction 

Drug dosing in patients with kidney disease requires knowledge of the pharmacologic alterations that occur with renal dysfunction (influence of uremia noted in parentheses):
Drug pharmacokinetics:
Absorption/bioavailability (decreased)

Distribution (increased or decreased)

Biotransformation (increased or decreased)

Elimination (reduced)


Drug pharmacodynamics:
Drug concentration at receptor (reduced)

Receptor function (reduced)

Receptor number (increased or decreased)

Counterregulatory influences at receptor (increased or decreased)



Clinical Evaluation 

For patients with kidney disease, the following should be undertaken to provide insight into factors that influence pharmacokinetics and pharmacodynamics:
History relevant to previous drug exposure, allergies, and toxicity

Current medication profile

Body weight and height (calculate body mass index)

Physical examination:
ECF volume:
Edema, ascites, pleural effusion (increase Vd)

Volume depletion (lower Vd)


Stigmata of liver disease


Laboratory data:
Renal function parameters

Tests of synthetic liver function

Albumin concentration



Kidney Function Tests 

GFR is best measure of kidney function

Drug elimination is highly dependent on prevailing level of kidney function; therefore, measurement (or accurate estimation) of GFR is crucial to appropriate drug dosing

Estimation of GFR using clinically available tests:
Using serum creatinine (Scr) concentration:
Cockcroft-Gault creatinine clearance (CrCl) estimation equation (seldom used to quantify renal function): CrCl = (140 – age) × (ideal body weight)/72 × Scr (mg/dL) [× 0.85 in women]

GFR estimation equations:
Modification of Diet in Renal Disease (MDRD) equation: 170 × [Scr (mg/dL)]–0.999 × [age (y)]–0.176 × [0.762 if female] × [1.18 if African American] × [blood urea nitrogen (mg/dL)]–0.170 × [albumin (g/dL)]+0.318

Abbreviated MDRD equation: 186 × [Scr (mg/dL)]–1.154 × [age (y)]–0.203 × [0.742 if female] × [1.21 if African American]



Using 24-hour urine creatinine collection and Scr concentration


Measuring kidney function with tests that are not currently widely available in the clinical setting:
Cystatin C concentration


Estimating GFR from Scr concentration assumes stable kidney function

One can assume anuria has GFR = 0, while oliguria is generally associated with GFR = 10 to 30 mL/min (0.17 to 0.50 mL/s; appropriate in ARF setting)

Acute Renal Failure 

Scant data are available to estimate kidney function or guide drug dosing in this setting

Pharmacokinetic parameters in patients with ARF may differ from those in patients with CKD:
However, elimination half-life values are not substantially different between ARF and CKD at similar GFR values

In ARF, preservation of nonrenal clearance of drugs contrasts to CKD, where nonrenal clearance decreases with prolonged duration of renal insufficiency

Patients with ARF may have a fluctuating Vd compared with CKD

Risk for underdosing or toxicity can occur in ARF patients where drug dosing is extrapolated from stable CKD


Drug dosing must be individualized in patients with ARF and all available data used to guide therapy, including measuring drug levels when appropriate

Drug Dosing in Kidney Disease 

Drug Dosing Uses Half-life (T½) 

T½ = (Vd × 0.693)/drug clearance (C):
T½ determines amount of time needed to reach steady state and thus dosing frequency

Four to 5 half-lives are needed for a drug to reach steady state


Initial or Loading Dose 

Vd determines size of initial or loading dose

Same dose as in patients with normal kidney function unless drug in question has a large Vd and it is reduced in setting of renal failure (as in case of digoxin)

Consider loading dose increase in presence of significant ECF volume excess for compounds with Vd approximating total-body water

Reduce dose if volume depletion or significant debilitation is present

Maintenance Dose 

Drug clearance (C) determines maintenance dose

Doses need to be modified based on prevailing kidney function level and other appropriate pharmacokinetic considerations

Maintenance dosing can be adjusted in kidney disease by altering either dosing interval or dose; rules of thumb are provided:
New dosing interval = (patient’s Scr/normal Scr) × normal interval:
Dosing interval is increased in kidney disease

Subtherapeutic drug concentrations are potential risk

Used for aminoglycosides


New drug dose = (normal Scr/patient’s Scr) × normal dose:
Dose is varied

Typically reliable levels, but drug toxicity is potential risk

Used for anticonvulsants, such as phenytoin


Table 5 outlines simple approach to drug dosing in patients with kidney disease
Table 5.

Drug Prescribing in Patients With Kidney Disease

1.Ascertain level of kidney function

2.Confirm integrity of liver metabolism

3.Establish loading dose

4.Determine maintenance dose (dosing interval or dose adjustment)

5.Evaluate for drug interactions

6.Perform drug blood level monitoring when appropriate

7.Check dosing periodically in patients with rapidly declining kidney function


Dosage guidelines are available in books on subject of drug prescribing in renal failure


Caution With Prescription Drugs 

Certain commonly prescribed drugs can cause ARF and hyperkalemia in patients with underlying CKD and should be administered cautiously

Partial list of common drugs is provided below:
ARF:
Angiotensin-converting enzyme (ACE) inhibitors, angiotensin receptor blockers (ARBs)

Nonsteroidal anti-inflammatory drugs (NSAIDs), selective cyclo-oxygenase (COX)-2 inhibitors

Radiocontrast agents

Aminoglycosides

Amphotericin B

IV immunoglobulin, hydroxyethyl starch


Hyperkalemia:
ACE inhibitors, ARBs

NSAIDs, selective COX-2 inhibitors

Spironolactone, eplerenone, heparin

Trimethoprim, pentamidine

Cyclosporin A, tacrolimus

Nonselective β-blockers



Extracorporeal Removal of Drugs 

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Drugs are eliminated to some degree by the various forms of dialysis, including hemodialysis (HD), peritoneal dialysis (PD), and continuous renal replacement therapies (CRRTs). Removal is difficult to predict and influenced by various factors:

Molecular weight of drug:
>1,500 d limits diffusive clearance in low-flux membranes


Vd of drug:
>0.7 L/kg reduces both diffusive and convective total drug clearance regardless of membrane type or dialysis modality; however, absolute drug clearance can remain high

Lithium and salicylates are examples of drugs with small Vd; tricyclic antidepressants are examples of drugs with large Vd


Drug solubility:
Lipid-soluble drugs have reduced clearance compared with water-soluble drugs

Phenobarbital is example of lipid-soluble drug


Protein binding:
High protein binding (>60%) reduces clearance

Theophylline is example of highly protein-bound drug, whereas lithium is not highly bound and is removed effectively with extracorporeal therapy


Pore size and surface area of HD membrane:
Small pore size and surface area reduces clearance


Blood and dialysate flow rates:
Low blood and dialysate flows reduce clearance


Hemodialysis 

Drug clearances reduced by low-flux membranes and medications with large Vd and extensive protein binding

HD drug clearance can be estimated based on following relationship:
ClHD = Clurea × (60/MWdrug), where ClHD is drug clearance, Clurea is urea clearance by dialyzer, MWdrug is drug molecular weight, and urea clearance is 150 to 200 mL/min for most standard (high-efficiency) dialyzers


Several drugs require dosing after HD; guidelines are available in books on subject of drug prescribing in dialysis

Peritoneal Dialysis 

Low-efficiency drug clearance

Drugs with small Vd and low protein binding are cleared well

Peritoneal drug clearance can be estimated based on following relationship:
ClPD = Clurea × (√60√MWdrug), where ClPD is drug clearance, Clurea is peritoneal urea clearance, MWdrug is drug molecular weight, and peritoneal urea clearance is 20 mL/min


Continuous Renal Replacement Therapies 

Continuous arteriovenous hemofiltration (CAVH):
Convective transport is enhanced by a porous membrane

Clearance limited by erratic blood flow


Continuous venovenous hemofiltration (CVVH):
Convective transport is enhanced by a porous membrane

Clearance more predictable with stable pump-driven blood flow


Continuous venovenous hemodialysis (CVVHD):
Convective transport and diffusion-based drug clearance

CVVHD clearance > CVVH


Continuous venovenous hemodiafiltration (CVVHDF):
Convective transport and diffusion-based drug clearance

Rate of drug removal dependent on sieving coefficient and ultrafiltrate volume

CVVHDF clearance > CVVHD > CVVH


Slow Low-Efficiency Daily Dialysis (SLEDD) 

Diffusion-based clearance of drugs

Additional reading 

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1. 1 Weber SJ . Overview of pharmacokinetics . In:  Enna SJ ,  Williams M ,  Ferkany JW ,  Kenakin T ,  Porsolt RD ,  Sullivan JP editor. Current Protocols in Pharmacology . NJ: Wiley, Hoboken; 2003;p. 7.1.1–7.1.20 .

2. 2 Wagner JG . In: Fundamentals of Clinical Pharmacokinetics . Hamilton, IL: Drug Intelligence; 1975;p. 337–358 .

3. 3 Holford N , Sheiner L . Understanding the dose-effect relationship (Clinical applications of pharmacokinetic/pharmacodynamic models) . Clin Pharmacokinet . 1981;6:429–453 .

4. 4 Kirishnan V , Patrick M . Pharmacological issues in the critically ill . Clin Chest Med . 2003;24:671–688 .

5. 5 Bodenham A , Shelly MP , Park GR . The altered pharmacokinetics and pharmacodynamics of drugs of drugs commonly used in critically ill patients . Clin Pharmacokinet . 1988;14:347–373 .

6. 6 Abdel-Rahman SM , Kauffman RE . The integration of pharmacokinetics and pharmacodynamics (Understanding dose-response) . Annu Rev Pharmacol Toxicol . 2004;44:111–136 .

7. 7 Lee W , Kim RB . Transporters and renal drug elimination . Annu Rev Pharmacol Toxicol . 2004;44:137–166 .

8. 8 Sheiner LB , Steimer JL . Pharmacokinetic/pharmacodynamic modeling in drug development . Annu Rev Pharmacol Toxicol . 2000;40:67–95 .

9. 9 Cambell D . The use of kinetic-dynamic interactions in the evaluation of drugs . Psychopharmacology . 1990;100:433–450 .

10. 10 Rogers JF , Nafziger AN , Bertino JS . Pharmacogenetics affects dosing, efficacy, and toxicity of cytochrome P450-metabolized drugs . Am J Med . 2002;113:746–750 .

11. 11 Rusnak JM , Kisabeth RM , Herbert DP , McNeil DM . Pharmacogenomics (A clinician’s primer on emerging technologies for improved patient care) . Mayo Clin Proc . 2001;76:299–309 .

12. 12 McLeod HL , Evans WE . Pharmacogenomics (Unlocking the human genome for better drug therapy) . Annu Rev Pharmacol Toxicol . 2001;41:101–121 .

13. 13 Masereeuw R , Russel FG . Mechanisms and clinical implications of renal drug excretion . Drug Metab Rev . 2001;33:299–351 .

14. 14 Levey AS , Bosch JP , Lewis JB , Greene T , Rogers N , Roth D . A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Modification of Diet in Renal Disease Study Group . Ann Intern Med . 1999;130:461–470 .

15. 15 Perazella MA . Drug-induced renal failure (Update on new medications and unique mechanisms of nephrotoxicity) . Am J Med Sci . 2003;325:349–362 .

16. 16 Bennett WM , Aronoff GR , Golper TA , et al.   ed 4. Drug Prescribing in Renal Failure . Philadelphia, PA: American College of Physicians; 1999; .

17. 17 Olyaei AJ , DeMattos AM , Bennett WM . Principles of drug dosing and prescribing in renal failure . In:  Johnson RJ ,  Fehally J editor. Comprehensive Clinical Nephrology . ed 2. Mosby: London, UK; 2003;p. 1189–1198 .

18. 18 Vincent HH , Vos MC , Akcahuseyin E , Goessens WH , van Duyl WA , Schalekamp MA . Drug clearance by continuous haemodiafiltration (CAVHD) (Analysis of sieving coefficients and mass transfer coefficients of diffusion) . Blood Purif . 1993;11:99–107 .

19. 19 Keller F , Wilms H , Schultze G , Offerman G , Molzahn M . Effect of plasma protein binding, volume of distribution, and molecular weight on the fraction of drugs eliminated by hemodialysis . Clin Nephrol . 1983;19:201–205 .

20. 20 Brunner H , Mann H , Stiller S , Sieberth HG . Permeability for middle and higher molecular weight substances . Contrib Nephrol . 1985;46:33–42 .

21. 21 Aronoff GR , Brier ME . Prescribing drugs for dialysis patients . In:  Henrich WL editors. Principles and Practice of Dialysis . ed 3. Philadelphia, PA: Lippincott Williams & Wilkins; 2004;p. 147–161 .

Section of Nephrology, Yale University School of Medicine, New Haven, CT

Corresponding Author InformationAddress reprint requests to Mark A. Perazella, MD, Section of Nephrology, FMP 110, Yale University School of Medicine, 333 Cedar St, New Haven, CT 06520-8029.

 Originally published online as doi:10.1053/j.ajkd.2005.07.051 on October 26, 2005.

PII: S0272-6386(05)01240-0

doi:10.1053/j.ajkd.2005.07.051


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