SlideShare a Scribd company logo
1 of 38
THERAPEUTIC DRUG MONITORING
Tulasi Raman P.
WHAT IS THERAPEUTIC DRUG MONITORING ?
 Therapeutic drug monitoring (TDM) involves
tailoring a dose regimen to an individual patient, by
maintaining plasma or blood concentrations within a
particular range (therapeutic range or therapeutic
window).
WHY SHOULD DRUG LEVEL BE MONITORED ?
 Certain drugs have a narrow therapeutic range
 In concentrations above the upper limit of the
range, the drug can be toxic
 In concentrations below the lower limit of the range,
the drug can be ineffective
 Not all patients have the same response at similar
doses
TDM WILL BE USEFUL IF
 The drug in question has a narrow therapeutic
range
 A direct relationship exists between the drug or
drug metabolite levels in plasma and the
pharmacological or toxic effects
 The therapeutic effect can not be readily
assessed by the clinical observation
 Large individual variability in steady state
plasma concentration exits at any given dose
 Appropriate analytic techniques are available to
determine the drug and metabolite levels
TDM IS UNNECESSARY WHEN
 Clinical outcome is unrelated either to dose or to
plasma concentration
 Dosage need not be individualized
 The pharmacological effects can be clinically
quantified
 When concentration effect relationship remains
unestablished
 Drugs with wide therapeutic range
TDM INDICATION FOR DRUGS
 Low therapeutic index
 Poorly defined clinical end point
 Non compliance
 Therapeutic failure
 Drugs with saturable metabolism
 Wide variation in the metabolism of drugs
 Major organ failure
 Prevention of adverse drug effects
APPLICABILITY OF THERAPEUTIC RANGES
 Therapeutic ranges are recommendations derived
by observing the clinical reactions of a small group
of patients taking the drug.
 The lower limit (trough) is set to provide ~50 % of
the maximum therapeutic effect, while
 The upper limit (peak) is defined by toxicity, not
therapeutic effect
 Therefore some patients may achieve therapeutic
effects at levels below the established range, while
some may experience toxicity while still in the
established range.
FACTORS THAT AFFECT RESULTS
1. Pharmacokinetics
2. Pharmacodynamics
3. Dose
4. Sampling time and type
5. Testing methodology
6. Genetic polymorphisms
SOURCES OF PHARMACOKINETIC VARIABILITY
 Patient Compliance – lack of
 Age – neonates, children, elderly
 Physiology – gender, pregnancy
 Disease – hepatic, renal, cardiovascular, respiratory
 Drug-to-drug interactions
 Environmental influences
SAMPLING TIME
 The drug concentration varies over the entire
dosing interval and with the duration of dosing in
relation to achieving a steady state
 Drugs with short half-lives, in relation to the dosing
interval, require trough concentration monitoring
 Drugs with a long half-life can be monitored at any
point in the dosage interval
OTHER FACTORS
 Some anticoagulants may interfere with results for
certain drugs
 heparin affects lithium results
 Some gel separators interfere with the results of
certain drugs
 Sensitivity and specificity of the testing
methodology
INTERPRETATION TDM VALUES
 Measuring the blood concentration of certain
therapeutic drugs is only one aspect of effective
TDM monitoring
 Therapeutic ranges are available but should be
used only as a guide. It must always be interpreted
in the context of the clinical data
 Many factors alter the effect of a drug concentration
at the site of action
FACTORS THAT AFFECT INTERPRETATION
 Vary from drug to drug
 Digoxin concentration must be interpreted in light of
the creatinine and potassium concentrations, the
presence of acidosis or the administration of
interacting drugs as well as the patient’s clinical
state
 When determining the appropriate lithium dose or
interpreting lithium results, knowing if a women is
pregnant is key, as dose requirements increase due
to increased renal clearance
PROTEIN BINDING
 TDM assays typically require serum or plasma and
usually measure both the bound and unbound drug,
even though it is the unbound drug that reacts with
the receptor to produce a response.
 This is rarley an issue – unless the patient’s binding
capacity is altered due to disease-state, drug
interaction, or non-linear binding.
 In such cases, the effect of the protein binding
needs to be taken into consideration when
interpreting results.
ACTIVE METABOLITES
 Many therapeutic drug metabolites, though not
measured, contribute to a drug’s therapeutic
response.
 E.g. primidone treatment is monitored by measuring
phenobarbitone, an active metabolite, but primidone
itself and other metabolites are also active.
OTHER FACTORS
 Steady state
 Must be reached before meaningful TDM is possible for
those drugs
 Turnaround time
 Is also important to ensure that the physician has time
to evaluate the result before the patient is scheduled to
receive his next dose.
SAMPLE INFORMATION REQUIRED FOR
ACCURATE INTERPRETATION
 Time of sample in relation to last dose
 Duration of treatment with the current dose
 Dosing schedule
 Age, gender
 Other drug therapy
 Relevant disease states
 Reason for request (e.g. lack of effect, routine
monitoring, suspected toxicity)
TESTING METHODS
 HPLC - High Pressure Liquid Chromatography
 GC/MS - Gas Chromatography Mass
Spectrophotometry
 LC/MS - Liquid Chromatography Mass
Spectrometry
 RIA - Radioimmunometric assays
 PETINIA - Particle Enhanced Turbidimetric
Inhibition Immunoassay
 EIA - Enzyme Immunoassay
 EMIT - Enzyme Multiplied Immunoassay Technique
 FPIA - Fluorescence Polarization Immunoassay
 Chemiluminescence
 ACMIA - Affinity Chrome-Mediated Immunoassay
 CEDIA - Cloned Enzyme Donor Immunoassay
HIGH PRESSURE LIQUID CHROMATOGRAPHY
 The principle is separation of a substance depends
on the relative distribution of mixture constituents
between two phases, a mobile phase and a
stationary phase. Substances that are distributed in
the mobile phase move through the system more
rapidly than the substances that are distributed in
the stationary phase.
 In HPLC, a liquid containing the sample is injected at
one end of the column. The column contains a medium
which helps separate the molecules in the liquid. High
pressure is used to overcome the resistance to flow. As
the liquid flows, some molecules move faster than
others due to differences in solubility and polarity. The
exact time that each molecule takes to flow through the
column is measured by a detector. The retention time is
calculated. An internal standard, a compound similar in
structure to the specimen to be analyzed, is also run
through the column. By comparing the retention time of
the sample to the internal standard, the molecule (or
drug) can be identified. The concentration of the
molecule can also be determined from the peaks
produced during the run. The peak size is used to
calculate the quantity of the drug in the specimen.
GAS CHROMATOGRAPHY MASS
SPECTROPHOTOMETRY
 Gas-liquid chromatography is a separation method
using very high temperatures to cause sample
vaporization. Vaporization separates the various
molecules in the samples into their different
fractions. The time required for the molecules to
traverse the system and the number of molecules
that reach the endpoint identify the drug. In mass
spectrophotometry the vaporized fractions are
passed through an electrical field. The molecules
can be separated on the basis of molecular weight.
The pattern of separation is unique to each drug
and therefore establishes a “fingerprint” for
identification.
LIQUID CHROMATOGRAPHY MASS
SPECTROMETRY
 In LC, an organic solvent moves an extract of
sample through a resin column. The sample
components are detected as they exit the column.
Mass spectrometry, identifies substances by their
molecular weight. The individual sample
components are separated and shattered into
representative fragments. These are recognized by:
retention time, molecular weight and fragmentation
spectrum. Tandem mass spectrometry (MS/MS)
involves multiple steps of mass spectrometry with
the fragmentation occurring between steps.
RADIOIMMUNOMETRIC ASSAYS
 In RIA the specimen is mixed with a specific
antibody to the drug being analyzed as well as a
known quantity of the same drug labeled with
radioactive iodine. The drug in the sample and the
radioactive labeled drug compete for sites on the
antibody. The sample is washed to remove
unbound radioactive drug. A gamma counter is then
used to measure the amount of radioactivity in the
sample as counts per minute (CPM). This number
is inversely proportional to the amount of drug in
the sample.
PARTICLE ENHANCED TURBIDIMETRIC
INHIBITION IMMUNOASSAY
 Immunoturbidimetric method. This method uses the
creation of light scattering particles to measure drug
levels. The latex particle-bound drug binds to the
drug-specific antibody, forming insoluble light-
scattering aggregates. This causes an increase in
the turbidity of the reaction mixture. Non-particle-
bound drug in the patient sample competes with the
particle-bound drug for antibody binding sites,
inhibiting the formation of insoluble aggregates.
Therefore the rate of increase of absorbance
(hence the rate of the increase in turbidity,) is
inversely proportional to the concentration of the
drug.
ENZYME IMMUNOASSAY
 EIA uses a non-radioactive enzyme label. Most of
the drug testing today is performed using
homogeneous EIA techniques. This refers to the
fact that the assays are performed in a single step,
i.e. only one antibody is used in the procedure.
Therefore, the turnaround time for testing is
reduced.
ENZYME MULTIPLIED IMMUNOASSAY
TECHNIQUE
 The EMIT technology is based on competition for
the target analyte antibody binding sites. Analyte in
the sample competes with the drug in the enzyme
reagent that is labeled with G6PDH. Active enzyme
G6PBH converts the coenzyme (NAD) in the
antibody reagent to NADH, resulting in a kinetic
absorbance change that is measured
photometrically.
FLUORESCENCE POLARIZATION
IMMUNOASSAY
 The patient sample is incubated with a known
quantity of the fluorescent-labeled drug and an
antibody specific for the drug. The labeled and
unlabeled drugs compete for the binding sites of the
antibody. Polarized light is emitted in certain angles
depending on whether the fluorescent-labeled drug
is bound to antibodies or not. Since this is a
competitive assay, the greater the amount of drug
in the sample, the lower the amount of
fluorescence.
CHEMILUMINESCENCE
 The sample is incubated with the (Acridium ester)
AE-labeled drug, and the drug specific antibody.
Once the AE is oxidized by hydrogen peroxide and
the sample becomes alkaline, a light emission
occurs. The lower the drug concentration in the
sample, the greater the light emission.
AFFINITY CHROME-MEDIATED IMMUNOASSAY
 ACMIA is a technique to measure drug concentrations in
which free and drug-bound antibody-enzyme conjugates
are separated using magnetic (chrome) particles.
 Sample is mixed with the antibody-enzyme conjugate.
Analyte (drug) present in the sample is bound by the
antibody conjugate reagent. Magnetic particles coated
with the analyte are added to bind free antibody-enzyme
conjugate. The reaction mixture is then separated
magnetically. Following separation, the supernatant
containing the analyte-antibody-enzyme complex is
transferred by the instrument to another cuvette and
mixed with a substrate. B-galactosidase catalyzes the
hydrolysis of CPRG (chloropenol red B-
galactopyranoside) to produce CPR (chloropenol red)
that absorbs light.
CLONED ENZYME DONOR IMMUNOASSAY
 CEDIA employs a recombinant DNA technology. The
technique is based on the bacterial enzyme B-galactosidase,
which has been genetically engineered into two inactive
fragments. These fragments spontaneously reassociate to
form fully active enzymes that cleaves a substrate, generating
a color change that can be measured spectrophotometrically.
Analyte in the sample competes with analyte conjugated to
one inactive B-galactosidase fragment for antibody binding
sites. If analyte is present, it binds to antibody, leaving the
inactive enzyme fragments free to form active enzyme. If
analyte is not present, antibody binds to analyte conjugated to
inactive fragment, inhibiting reassociation of these inactive B-
galactosidase fragments and no enzyme is formed. The
amount of active enzyme formed (absorbance change) are
directly proportional to the amount of analyte present in the
sample.
COMMONLY MONITORED DRUGS
 Antiepileptics
 Antiarrythmics
 Antibiotics
 Antineoplastics
 Antimanics
 Bronchodilators
 Immunosuppressives
ANTIEPILEPTICS
 Carbamazepine : 4 – 10 µg/mL
 Ethosuximide : 10 – 150 µg/mL
 Phenobarbital : 15 – 40 µg/mL
 Phenytoin : 10 – 20 µg/mL
 Primidone : 2.5 – 20 µg/mL
 Valproic Acid : 50 – 100 µg/mL
ANTIARRHYTHMICS
 Digitoxin : 10 – 30 ng/mL
 Digoxin : 0.9 – 2 ng/dL
 Disopyramide : 1 – 30 µg/mL
 Lidocaine : 1.5 – 5 µg/mL
 NAPA : 10 – 30 µg/mL
 Procainamide : 4 – 12 µg/mL
 Quinidine : 0.5 – 8 µg/mL
IMMUNOSUPPRESSANTS
 Cyclosporine : 50 –350 µg/mL
 Everolimus : 3 – 8 µg/mL
 Mycophenolic Acid : 1 - 4 µg/mL
 Sirolimus : 3 – 15 µg/mL
 Tacrolimus : 3 – 15 µg/mL
ANTIBIOTICS
 Amikacin Peak:* 15 – 30 µg/mL
Trough:* 1 – 10 µg/mL
 GentamicinPeak: 5 – 10 µg/mL
Trough: 1 – 2 µg/mL
 Netilmicin Peak: 1 – 12 µg/mL
 Tobramycin Peak: 5 – 10 µg/mL
Trough: 0.5 – 2 µg/mL
 Vancomycin Peak: 30 – 40 µg/mL
Trough: 5 – 10 µg/mL
 Antimanics
 Lithium : 0.6 – 1.2 mmol/L
 Antineoplastics
 Methotrexate : 0.1 - 2600 µmol/L
 Bronchodilators
 Caffeine : 1 – 30 µg/mL
 Theophylline : 10 – 20 µg/mL
THANK YOU

More Related Content

What's hot

Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug MonitoringSubhash Yende
 
Medication history interview
Medication history interviewMedication history interview
Medication history interviewRafi Bhat
 
Therapeutic drug monitoring ppt
Therapeutic drug monitoring pptTherapeutic drug monitoring ppt
Therapeutic drug monitoring pptPARUL UNIVERSITY
 
Therapeutic Drug Monitoring (TDM)
Therapeutic Drug Monitoring (TDM)Therapeutic Drug Monitoring (TDM)
Therapeutic Drug Monitoring (TDM)elsanimadhan
 
Patients medication history interview
Patients medication history interviewPatients medication history interview
Patients medication history interviewSubhash Yende
 
Community Pharmacy Management
Community Pharmacy ManagementCommunity Pharmacy Management
Community Pharmacy ManagementSubhash Yende
 
Education and Training Program in the Hospital
Education and Training Program in the HospitalEducation and Training Program in the Hospital
Education and Training Program in the HospitalSubhash Yende
 
Pharmacovigilance and role of pharmacist
Pharmacovigilance and role of pharmacistPharmacovigilance and role of pharmacist
Pharmacovigilance and role of pharmacistDr. Ramesh Bhandari
 
Drug information and poison information
Drug information and poison informationDrug information and poison information
Drug information and poison informationTHUSHARA MOHAN
 
Investigational use of drugs
Investigational use of drugsInvestigational use of drugs
Investigational use of drugssunayanamali
 
Drug distribution system in hospital
Drug distribution system in hospitalDrug distribution system in hospital
Drug distribution system in hospitalHarshita Jain
 
Pharmacy and therapeutic committee
Pharmacy and therapeutic committeePharmacy and therapeutic committee
Pharmacy and therapeutic committeeKRUSHNA ZAMBARE
 
Therapeutic drug monitoring
Therapeutic drug monitoring Therapeutic drug monitoring
Therapeutic drug monitoring Kirsha K S
 
Therapeutic Drug Monitoring.pptx
Therapeutic Drug Monitoring.pptxTherapeutic Drug Monitoring.pptx
Therapeutic Drug Monitoring.pptxMangeshBansod2
 

What's hot (20)

Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug Monitoring
 
Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug Monitoring
 
Drug Therapy Monitiring
Drug Therapy MonitiringDrug Therapy Monitiring
Drug Therapy Monitiring
 
Medication history interview
Medication history interviewMedication history interview
Medication history interview
 
Therapeutic drug monitoring ppt
Therapeutic drug monitoring pptTherapeutic drug monitoring ppt
Therapeutic drug monitoring ppt
 
Therapeutic Drug Monitoring (TDM)
Therapeutic Drug Monitoring (TDM)Therapeutic Drug Monitoring (TDM)
Therapeutic Drug Monitoring (TDM)
 
Patients medication history interview
Patients medication history interviewPatients medication history interview
Patients medication history interview
 
Community Pharmacy Management
Community Pharmacy ManagementCommunity Pharmacy Management
Community Pharmacy Management
 
INTRODUCTION OF CLINICAL PHARMACY
INTRODUCTION OF CLINICAL PHARMACYINTRODUCTION OF CLINICAL PHARMACY
INTRODUCTION OF CLINICAL PHARMACY
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoring
 
Education and Training Program in the Hospital
Education and Training Program in the HospitalEducation and Training Program in the Hospital
Education and Training Program in the Hospital
 
Pharmacovigilence
PharmacovigilencePharmacovigilence
Pharmacovigilence
 
Pharmacovigilance and role of pharmacist
Pharmacovigilance and role of pharmacistPharmacovigilance and role of pharmacist
Pharmacovigilance and role of pharmacist
 
Drug information and poison information
Drug information and poison informationDrug information and poison information
Drug information and poison information
 
Drug Information Services
Drug Information ServicesDrug Information Services
Drug Information Services
 
Investigational use of drugs
Investigational use of drugsInvestigational use of drugs
Investigational use of drugs
 
Drug distribution system in hospital
Drug distribution system in hospitalDrug distribution system in hospital
Drug distribution system in hospital
 
Pharmacy and therapeutic committee
Pharmacy and therapeutic committeePharmacy and therapeutic committee
Pharmacy and therapeutic committee
 
Therapeutic drug monitoring
Therapeutic drug monitoring Therapeutic drug monitoring
Therapeutic drug monitoring
 
Therapeutic Drug Monitoring.pptx
Therapeutic Drug Monitoring.pptxTherapeutic Drug Monitoring.pptx
Therapeutic Drug Monitoring.pptx
 

Viewers also liked

8. pharmacotherapy
8. pharmacotherapy8. pharmacotherapy
8. pharmacotherapyGerika Aura
 
Rational drug therapy
Rational drug therapyRational drug therapy
Rational drug therapyKiran Sharma
 
Rational drug use
Rational drug useRational drug use
Rational drug usevelspharmd
 
Essential drug concept and rational use of medicines
Essential drug concept and rational use of medicinesEssential drug concept and rational use of medicines
Essential drug concept and rational use of medicinesPravin Prasad
 
Rational drug use and essential drugs
Rational drug use and essential drugsRational drug use and essential drugs
Rational drug use and essential drugsKoppala RVS Chaitanya
 
Irrational prescribing
Irrational prescribingIrrational prescribing
Irrational prescribingRemya Krishnan
 
Medical errors, negligence, and litigation
Medical errors, negligence, and litigationMedical errors, negligence, and litigation
Medical errors, negligence, and litigationMedicineAndHealth
 
Good Clinical Practice By: Swapnil L. patil
Good Clinical Practice By: Swapnil L. patilGood Clinical Practice By: Swapnil L. patil
Good Clinical Practice By: Swapnil L. patilSwapnil Patil
 
Good laboratory practices of pharmaceuticals
Good laboratory practices of pharmaceuticalsGood laboratory practices of pharmaceuticals
Good laboratory practices of pharmaceuticalssrilakshmisadam
 
Clinical trial design
Clinical trial designClinical trial design
Clinical trial designSandhya Talla
 
Good Manufacturing Practices For Quality Control
Good Manufacturing Practices For Quality ControlGood Manufacturing Practices For Quality Control
Good Manufacturing Practices For Quality ControlDr Rajendra Patel
 
Good Automated Laboratory Practices
Good Automated Laboratory PracticesGood Automated Laboratory Practices
Good Automated Laboratory PracticesSwapnil Fernandes
 
Case control & other study designs-i-dr.wah
Case control & other study designs-i-dr.wahCase control & other study designs-i-dr.wah
Case control & other study designs-i-dr.wahMmedsc Hahm
 

Viewers also liked (20)

Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoring
 
Therapeutic drug monitoring
Therapeutic  drug monitoringTherapeutic  drug monitoring
Therapeutic drug monitoring
 
8. pharmacotherapy
8. pharmacotherapy8. pharmacotherapy
8. pharmacotherapy
 
Rational drug therapy
Rational drug therapyRational drug therapy
Rational drug therapy
 
Rational drug use
Rational drug useRational drug use
Rational drug use
 
Rational drug use
Rational  drug  useRational  drug  use
Rational drug use
 
Essential drug concept and rational use of medicines
Essential drug concept and rational use of medicinesEssential drug concept and rational use of medicines
Essential drug concept and rational use of medicines
 
Rational drug use and essential drugs
Rational drug use and essential drugsRational drug use and essential drugs
Rational drug use and essential drugs
 
Rational drug prescribing to essential drugs
Rational drug prescribing to essential drugsRational drug prescribing to essential drugs
Rational drug prescribing to essential drugs
 
Irrational prescribing
Irrational prescribingIrrational prescribing
Irrational prescribing
 
Medical errors, negligence, and litigation
Medical errors, negligence, and litigationMedical errors, negligence, and litigation
Medical errors, negligence, and litigation
 
Pharmacotherapy
PharmacotherapyPharmacotherapy
Pharmacotherapy
 
Good Clinical Practice By: Swapnil L. patil
Good Clinical Practice By: Swapnil L. patilGood Clinical Practice By: Swapnil L. patil
Good Clinical Practice By: Swapnil L. patil
 
Good Laboratory Practices (http://www.ubio.in)
Good Laboratory Practices (http://www.ubio.in)Good Laboratory Practices (http://www.ubio.in)
Good Laboratory Practices (http://www.ubio.in)
 
Good laboratory practices of pharmaceuticals
Good laboratory practices of pharmaceuticalsGood laboratory practices of pharmaceuticals
Good laboratory practices of pharmaceuticals
 
Clinical trial design
Clinical trial designClinical trial design
Clinical trial design
 
Case control study
Case control studyCase control study
Case control study
 
Good Manufacturing Practices For Quality Control
Good Manufacturing Practices For Quality ControlGood Manufacturing Practices For Quality Control
Good Manufacturing Practices For Quality Control
 
Good Automated Laboratory Practices
Good Automated Laboratory PracticesGood Automated Laboratory Practices
Good Automated Laboratory Practices
 
Case control & other study designs-i-dr.wah
Case control & other study designs-i-dr.wahCase control & other study designs-i-dr.wah
Case control & other study designs-i-dr.wah
 

Similar to Therapeutic Drug Monitoring

General Introduction on therapeutic drug monitoring
General Introduction on therapeutic drug monitoringGeneral Introduction on therapeutic drug monitoring
General Introduction on therapeutic drug monitoringDr. Ramesh Bhandari
 
THERAPEUTIC DRUG MONITORING S KOSEY
THERAPEUTIC DRUG MONITORING S KOSEYTHERAPEUTIC DRUG MONITORING S KOSEY
THERAPEUTIC DRUG MONITORING S KOSEYsopi_1234
 
Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug MonitoringAhlam Sundus
 
Therapeutic drug monitoring PHARMACY sAA.ppt
Therapeutic drug monitoring PHARMACY sAA.pptTherapeutic drug monitoring PHARMACY sAA.ppt
Therapeutic drug monitoring PHARMACY sAA.pptssuser497f37
 
Therapeutic drug monitoring final
Therapeutic drug monitoring finalTherapeutic drug monitoring final
Therapeutic drug monitoring finalsaiesh_phaldesai
 
Role of toxicological analysis in therapeutic monitoring
Role of toxicological analysis  in therapeutic monitoringRole of toxicological analysis  in therapeutic monitoring
Role of toxicological analysis in therapeutic monitoringMysm Al-khattab
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoringSaleem Cology
 
THERAPEUTIC DRUG MONITORING S KOSEY 2
THERAPEUTIC DRUG MONITORING S KOSEY 2THERAPEUTIC DRUG MONITORING S KOSEY 2
THERAPEUTIC DRUG MONITORING S KOSEY 2sopi_1234
 
Toxicology screening and therapeutic drug monitoring (an introduction)
 Toxicology screening and therapeutic drug monitoring (an introduction)  Toxicology screening and therapeutic drug monitoring (an introduction)
Toxicology screening and therapeutic drug monitoring (an introduction) Hossamaldin Alzawawi
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoringlavanya nalluri
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoringHarshita Jain
 
TDM for B Pharm practical-2019
TDM for B Pharm practical-2019TDM for B Pharm practical-2019
TDM for B Pharm practical-2019Pravin Prasad
 
Therapeutic drug monitoring (TDM)
Therapeutic drug monitoring (TDM)Therapeutic drug monitoring (TDM)
Therapeutic drug monitoring (TDM)Dipesh Tamrakar
 
Bioavailability and bioequivalence studies
Bioavailability and bioequivalence studiesBioavailability and bioequivalence studies
Bioavailability and bioequivalence studiesNagaraju Ravouru
 
Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug MonitoringPravin Prasad
 
Therapeutic Drug Monitoring- Ravinandan A P
Therapeutic Drug Monitoring- Ravinandan A PTherapeutic Drug Monitoring- Ravinandan A P
Therapeutic Drug Monitoring- Ravinandan A PRavinandan A P
 

Similar to Therapeutic Drug Monitoring (20)

General Introduction on therapeutic drug monitoring
General Introduction on therapeutic drug monitoringGeneral Introduction on therapeutic drug monitoring
General Introduction on therapeutic drug monitoring
 
Ppt tdm new
Ppt tdm newPpt tdm new
Ppt tdm new
 
THERAPEUTIC DRUG MONITORING S KOSEY
THERAPEUTIC DRUG MONITORING S KOSEYTHERAPEUTIC DRUG MONITORING S KOSEY
THERAPEUTIC DRUG MONITORING S KOSEY
 
Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug Monitoring
 
TDM.pptx
TDM.pptxTDM.pptx
TDM.pptx
 
Therapeutic drug monitoring PHARMACY sAA.ppt
Therapeutic drug monitoring PHARMACY sAA.pptTherapeutic drug monitoring PHARMACY sAA.ppt
Therapeutic drug monitoring PHARMACY sAA.ppt
 
Therapeutic drug monitoring final
Therapeutic drug monitoring finalTherapeutic drug monitoring final
Therapeutic drug monitoring final
 
TDM.pptx
TDM.pptxTDM.pptx
TDM.pptx
 
Role of toxicological analysis in therapeutic monitoring
Role of toxicological analysis  in therapeutic monitoringRole of toxicological analysis  in therapeutic monitoring
Role of toxicological analysis in therapeutic monitoring
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoring
 
THERAPEUTIC DRUG MONITORING S KOSEY 2
THERAPEUTIC DRUG MONITORING S KOSEY 2THERAPEUTIC DRUG MONITORING S KOSEY 2
THERAPEUTIC DRUG MONITORING S KOSEY 2
 
Toxicology screening and therapeutic drug monitoring (an introduction)
 Toxicology screening and therapeutic drug monitoring (an introduction)  Toxicology screening and therapeutic drug monitoring (an introduction)
Toxicology screening and therapeutic drug monitoring (an introduction)
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoring
 
Therapeutic drug monitoring
Therapeutic drug monitoringTherapeutic drug monitoring
Therapeutic drug monitoring
 
TDM for B Pharm practical-2019
TDM for B Pharm practical-2019TDM for B Pharm practical-2019
TDM for B Pharm practical-2019
 
Therapeutic drug monitoring (TDM)
Therapeutic drug monitoring (TDM)Therapeutic drug monitoring (TDM)
Therapeutic drug monitoring (TDM)
 
Bioavailability and bioequivalence studies
Bioavailability and bioequivalence studiesBioavailability and bioequivalence studies
Bioavailability and bioequivalence studies
 
Therapeutic Drug Monitoring
Therapeutic Drug MonitoringTherapeutic Drug Monitoring
Therapeutic Drug Monitoring
 
Therapeutic Drug Monitoring- Ravinandan A P
Therapeutic Drug Monitoring- Ravinandan A PTherapeutic Drug Monitoring- Ravinandan A P
Therapeutic Drug Monitoring- Ravinandan A P
 
Indications of TDM
Indications of TDMIndications of TDM
Indications of TDM
 

More from Tulasi Raman

Screening of Local Anaesthestics
Screening of Local AnaesthesticsScreening of Local Anaesthestics
Screening of Local AnaesthesticsTulasi Raman
 
Allocation Concealment
Allocation ConcealmentAllocation Concealment
Allocation ConcealmentTulasi Raman
 
Structure Activity Relationships - Antipsychotics
Structure Activity Relationships - AntipsychoticsStructure Activity Relationships - Antipsychotics
Structure Activity Relationships - AntipsychoticsTulasi Raman
 
Receptor Pharmacology
Receptor PharmacologyReceptor Pharmacology
Receptor PharmacologyTulasi Raman
 

More from Tulasi Raman (8)

SERM & SERD
SERM & SERDSERM & SERD
SERM & SERD
 
Screening of Local Anaesthestics
Screening of Local AnaesthesticsScreening of Local Anaesthestics
Screening of Local Anaesthestics
 
Spindle Poisons
Spindle PoisonsSpindle Poisons
Spindle Poisons
 
Pharmacovigilance
PharmacovigilancePharmacovigilance
Pharmacovigilance
 
Allocation Concealment
Allocation ConcealmentAllocation Concealment
Allocation Concealment
 
Adipokines
AdipokinesAdipokines
Adipokines
 
Structure Activity Relationships - Antipsychotics
Structure Activity Relationships - AntipsychoticsStructure Activity Relationships - Antipsychotics
Structure Activity Relationships - Antipsychotics
 
Receptor Pharmacology
Receptor PharmacologyReceptor Pharmacology
Receptor Pharmacology
 

Recently uploaded

SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 

Recently uploaded (20)

SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 

Therapeutic Drug Monitoring

  • 2. WHAT IS THERAPEUTIC DRUG MONITORING ?  Therapeutic drug monitoring (TDM) involves tailoring a dose regimen to an individual patient, by maintaining plasma or blood concentrations within a particular range (therapeutic range or therapeutic window).
  • 3. WHY SHOULD DRUG LEVEL BE MONITORED ?  Certain drugs have a narrow therapeutic range  In concentrations above the upper limit of the range, the drug can be toxic  In concentrations below the lower limit of the range, the drug can be ineffective  Not all patients have the same response at similar doses
  • 4. TDM WILL BE USEFUL IF  The drug in question has a narrow therapeutic range  A direct relationship exists between the drug or drug metabolite levels in plasma and the pharmacological or toxic effects  The therapeutic effect can not be readily assessed by the clinical observation  Large individual variability in steady state plasma concentration exits at any given dose  Appropriate analytic techniques are available to determine the drug and metabolite levels
  • 5. TDM IS UNNECESSARY WHEN  Clinical outcome is unrelated either to dose or to plasma concentration  Dosage need not be individualized  The pharmacological effects can be clinically quantified  When concentration effect relationship remains unestablished  Drugs with wide therapeutic range
  • 6. TDM INDICATION FOR DRUGS  Low therapeutic index  Poorly defined clinical end point  Non compliance  Therapeutic failure  Drugs with saturable metabolism  Wide variation in the metabolism of drugs  Major organ failure  Prevention of adverse drug effects
  • 7. APPLICABILITY OF THERAPEUTIC RANGES  Therapeutic ranges are recommendations derived by observing the clinical reactions of a small group of patients taking the drug.  The lower limit (trough) is set to provide ~50 % of the maximum therapeutic effect, while  The upper limit (peak) is defined by toxicity, not therapeutic effect  Therefore some patients may achieve therapeutic effects at levels below the established range, while some may experience toxicity while still in the established range.
  • 8. FACTORS THAT AFFECT RESULTS 1. Pharmacokinetics 2. Pharmacodynamics 3. Dose 4. Sampling time and type 5. Testing methodology 6. Genetic polymorphisms
  • 9. SOURCES OF PHARMACOKINETIC VARIABILITY  Patient Compliance – lack of  Age – neonates, children, elderly  Physiology – gender, pregnancy  Disease – hepatic, renal, cardiovascular, respiratory  Drug-to-drug interactions  Environmental influences
  • 10. SAMPLING TIME  The drug concentration varies over the entire dosing interval and with the duration of dosing in relation to achieving a steady state  Drugs with short half-lives, in relation to the dosing interval, require trough concentration monitoring  Drugs with a long half-life can be monitored at any point in the dosage interval
  • 11. OTHER FACTORS  Some anticoagulants may interfere with results for certain drugs  heparin affects lithium results  Some gel separators interfere with the results of certain drugs  Sensitivity and specificity of the testing methodology
  • 12. INTERPRETATION TDM VALUES  Measuring the blood concentration of certain therapeutic drugs is only one aspect of effective TDM monitoring  Therapeutic ranges are available but should be used only as a guide. It must always be interpreted in the context of the clinical data  Many factors alter the effect of a drug concentration at the site of action
  • 13. FACTORS THAT AFFECT INTERPRETATION  Vary from drug to drug  Digoxin concentration must be interpreted in light of the creatinine and potassium concentrations, the presence of acidosis or the administration of interacting drugs as well as the patient’s clinical state  When determining the appropriate lithium dose or interpreting lithium results, knowing if a women is pregnant is key, as dose requirements increase due to increased renal clearance
  • 14. PROTEIN BINDING  TDM assays typically require serum or plasma and usually measure both the bound and unbound drug, even though it is the unbound drug that reacts with the receptor to produce a response.  This is rarley an issue – unless the patient’s binding capacity is altered due to disease-state, drug interaction, or non-linear binding.  In such cases, the effect of the protein binding needs to be taken into consideration when interpreting results.
  • 15. ACTIVE METABOLITES  Many therapeutic drug metabolites, though not measured, contribute to a drug’s therapeutic response.  E.g. primidone treatment is monitored by measuring phenobarbitone, an active metabolite, but primidone itself and other metabolites are also active.
  • 16. OTHER FACTORS  Steady state  Must be reached before meaningful TDM is possible for those drugs  Turnaround time  Is also important to ensure that the physician has time to evaluate the result before the patient is scheduled to receive his next dose.
  • 17. SAMPLE INFORMATION REQUIRED FOR ACCURATE INTERPRETATION  Time of sample in relation to last dose  Duration of treatment with the current dose  Dosing schedule  Age, gender  Other drug therapy  Relevant disease states  Reason for request (e.g. lack of effect, routine monitoring, suspected toxicity)
  • 18. TESTING METHODS  HPLC - High Pressure Liquid Chromatography  GC/MS - Gas Chromatography Mass Spectrophotometry  LC/MS - Liquid Chromatography Mass Spectrometry  RIA - Radioimmunometric assays  PETINIA - Particle Enhanced Turbidimetric Inhibition Immunoassay
  • 19.  EIA - Enzyme Immunoassay  EMIT - Enzyme Multiplied Immunoassay Technique  FPIA - Fluorescence Polarization Immunoassay  Chemiluminescence  ACMIA - Affinity Chrome-Mediated Immunoassay  CEDIA - Cloned Enzyme Donor Immunoassay
  • 20. HIGH PRESSURE LIQUID CHROMATOGRAPHY  The principle is separation of a substance depends on the relative distribution of mixture constituents between two phases, a mobile phase and a stationary phase. Substances that are distributed in the mobile phase move through the system more rapidly than the substances that are distributed in the stationary phase.
  • 21.  In HPLC, a liquid containing the sample is injected at one end of the column. The column contains a medium which helps separate the molecules in the liquid. High pressure is used to overcome the resistance to flow. As the liquid flows, some molecules move faster than others due to differences in solubility and polarity. The exact time that each molecule takes to flow through the column is measured by a detector. The retention time is calculated. An internal standard, a compound similar in structure to the specimen to be analyzed, is also run through the column. By comparing the retention time of the sample to the internal standard, the molecule (or drug) can be identified. The concentration of the molecule can also be determined from the peaks produced during the run. The peak size is used to calculate the quantity of the drug in the specimen.
  • 22. GAS CHROMATOGRAPHY MASS SPECTROPHOTOMETRY  Gas-liquid chromatography is a separation method using very high temperatures to cause sample vaporization. Vaporization separates the various molecules in the samples into their different fractions. The time required for the molecules to traverse the system and the number of molecules that reach the endpoint identify the drug. In mass spectrophotometry the vaporized fractions are passed through an electrical field. The molecules can be separated on the basis of molecular weight. The pattern of separation is unique to each drug and therefore establishes a “fingerprint” for identification.
  • 23. LIQUID CHROMATOGRAPHY MASS SPECTROMETRY  In LC, an organic solvent moves an extract of sample through a resin column. The sample components are detected as they exit the column. Mass spectrometry, identifies substances by their molecular weight. The individual sample components are separated and shattered into representative fragments. These are recognized by: retention time, molecular weight and fragmentation spectrum. Tandem mass spectrometry (MS/MS) involves multiple steps of mass spectrometry with the fragmentation occurring between steps.
  • 24. RADIOIMMUNOMETRIC ASSAYS  In RIA the specimen is mixed with a specific antibody to the drug being analyzed as well as a known quantity of the same drug labeled with radioactive iodine. The drug in the sample and the radioactive labeled drug compete for sites on the antibody. The sample is washed to remove unbound radioactive drug. A gamma counter is then used to measure the amount of radioactivity in the sample as counts per minute (CPM). This number is inversely proportional to the amount of drug in the sample.
  • 25. PARTICLE ENHANCED TURBIDIMETRIC INHIBITION IMMUNOASSAY  Immunoturbidimetric method. This method uses the creation of light scattering particles to measure drug levels. The latex particle-bound drug binds to the drug-specific antibody, forming insoluble light- scattering aggregates. This causes an increase in the turbidity of the reaction mixture. Non-particle- bound drug in the patient sample competes with the particle-bound drug for antibody binding sites, inhibiting the formation of insoluble aggregates. Therefore the rate of increase of absorbance (hence the rate of the increase in turbidity,) is inversely proportional to the concentration of the drug.
  • 26. ENZYME IMMUNOASSAY  EIA uses a non-radioactive enzyme label. Most of the drug testing today is performed using homogeneous EIA techniques. This refers to the fact that the assays are performed in a single step, i.e. only one antibody is used in the procedure. Therefore, the turnaround time for testing is reduced.
  • 27. ENZYME MULTIPLIED IMMUNOASSAY TECHNIQUE  The EMIT technology is based on competition for the target analyte antibody binding sites. Analyte in the sample competes with the drug in the enzyme reagent that is labeled with G6PDH. Active enzyme G6PBH converts the coenzyme (NAD) in the antibody reagent to NADH, resulting in a kinetic absorbance change that is measured photometrically.
  • 28. FLUORESCENCE POLARIZATION IMMUNOASSAY  The patient sample is incubated with a known quantity of the fluorescent-labeled drug and an antibody specific for the drug. The labeled and unlabeled drugs compete for the binding sites of the antibody. Polarized light is emitted in certain angles depending on whether the fluorescent-labeled drug is bound to antibodies or not. Since this is a competitive assay, the greater the amount of drug in the sample, the lower the amount of fluorescence.
  • 29. CHEMILUMINESCENCE  The sample is incubated with the (Acridium ester) AE-labeled drug, and the drug specific antibody. Once the AE is oxidized by hydrogen peroxide and the sample becomes alkaline, a light emission occurs. The lower the drug concentration in the sample, the greater the light emission.
  • 30. AFFINITY CHROME-MEDIATED IMMUNOASSAY  ACMIA is a technique to measure drug concentrations in which free and drug-bound antibody-enzyme conjugates are separated using magnetic (chrome) particles.  Sample is mixed with the antibody-enzyme conjugate. Analyte (drug) present in the sample is bound by the antibody conjugate reagent. Magnetic particles coated with the analyte are added to bind free antibody-enzyme conjugate. The reaction mixture is then separated magnetically. Following separation, the supernatant containing the analyte-antibody-enzyme complex is transferred by the instrument to another cuvette and mixed with a substrate. B-galactosidase catalyzes the hydrolysis of CPRG (chloropenol red B- galactopyranoside) to produce CPR (chloropenol red) that absorbs light.
  • 31. CLONED ENZYME DONOR IMMUNOASSAY  CEDIA employs a recombinant DNA technology. The technique is based on the bacterial enzyme B-galactosidase, which has been genetically engineered into two inactive fragments. These fragments spontaneously reassociate to form fully active enzymes that cleaves a substrate, generating a color change that can be measured spectrophotometrically. Analyte in the sample competes with analyte conjugated to one inactive B-galactosidase fragment for antibody binding sites. If analyte is present, it binds to antibody, leaving the inactive enzyme fragments free to form active enzyme. If analyte is not present, antibody binds to analyte conjugated to inactive fragment, inhibiting reassociation of these inactive B- galactosidase fragments and no enzyme is formed. The amount of active enzyme formed (absorbance change) are directly proportional to the amount of analyte present in the sample.
  • 32. COMMONLY MONITORED DRUGS  Antiepileptics  Antiarrythmics  Antibiotics  Antineoplastics  Antimanics  Bronchodilators  Immunosuppressives
  • 33. ANTIEPILEPTICS  Carbamazepine : 4 – 10 µg/mL  Ethosuximide : 10 – 150 µg/mL  Phenobarbital : 15 – 40 µg/mL  Phenytoin : 10 – 20 µg/mL  Primidone : 2.5 – 20 µg/mL  Valproic Acid : 50 – 100 µg/mL
  • 34. ANTIARRHYTHMICS  Digitoxin : 10 – 30 ng/mL  Digoxin : 0.9 – 2 ng/dL  Disopyramide : 1 – 30 µg/mL  Lidocaine : 1.5 – 5 µg/mL  NAPA : 10 – 30 µg/mL  Procainamide : 4 – 12 µg/mL  Quinidine : 0.5 – 8 µg/mL
  • 35. IMMUNOSUPPRESSANTS  Cyclosporine : 50 –350 µg/mL  Everolimus : 3 – 8 µg/mL  Mycophenolic Acid : 1 - 4 µg/mL  Sirolimus : 3 – 15 µg/mL  Tacrolimus : 3 – 15 µg/mL
  • 36. ANTIBIOTICS  Amikacin Peak:* 15 – 30 µg/mL Trough:* 1 – 10 µg/mL  GentamicinPeak: 5 – 10 µg/mL Trough: 1 – 2 µg/mL  Netilmicin Peak: 1 – 12 µg/mL  Tobramycin Peak: 5 – 10 µg/mL Trough: 0.5 – 2 µg/mL  Vancomycin Peak: 30 – 40 µg/mL Trough: 5 – 10 µg/mL
  • 37.  Antimanics  Lithium : 0.6 – 1.2 mmol/L  Antineoplastics  Methotrexate : 0.1 - 2600 µmol/L  Bronchodilators  Caffeine : 1 – 30 µg/mL  Theophylline : 10 – 20 µg/mL