interpretation of cbc 2
TRANSCRIPT
Interpretation of
CBC
contt…
DR. N. BAJAJ
Hemoparasites: in
peripheral smears
Malaria
Giemsa stain are used, identifies species and life cycle stages
Paresitemia is quantifiable
Threshold of detection thin film: 100 parasites/ L, thick film: 2-20 parasite/L
Thick film Thin film
• Lysed RBCs
• Larger volume
• 0.25microliter / 100 fields blood
element more concentrated
• Good screening for positive or
negative parasitemia and
parasite density difficult to
diagnose species
• Fixed RBCs
• Single layer
• Smaller volume
• 0.005 microliter blood required
• Good species differentiation
• Requires more time to ready
A. Peripheral smear
Appearance of P.falciparum in the blood films
Ring or trophozoite
Many cells infected –
same with more than
one parasite
Red cell size unaltered
Parasite is often attatch
to the margin of the host
cell: called as accole
form (arrow)
Schizont
Very rarely seem except
in cerebral malaria
A single brown pigment
dot along with 18-32
merozoites
Gamatocyte
Sickle shape “cresent”
Matuer gametocyte is about 1.5 times larger than RBC harbouring it
Microgamatocyte: Broader, shorter, blunt ends. Cytoplasm light blue
Macrogamatocytes: Longer, narrower, pointed ends. Cytoplasm deep blue
Appearance of P. vivex in film
Ring or trophozoite
Many cells infected –
same with more than
one parasite
Unoccupied portion by
parasite shows a dotted
or stripped appearance
“Schuffner’s dot”
Schizont
Represent the full grown
trophozoite
Contain 12-24 merozoits
Arranged in the form of
rosette with yellow
brown pigment at the
center
Gamatocyte
Certain schizont get modified and result in sexual forms. Merozoitearising from single schizontare either all males or females
Microgamatocyte: Spherical. Cytoplasm light blue
Macrogamatocytes: spherical. Cytoplasm deep blue
B. Flouroscien Microscopy
Dyes detect RNA and DNA contents of parasite
Nucleic material not normally seen in RBCs without parasitemia
C. Quantative Buffy Coat (QBC)(Becton
Dickenson) Flouroscien microscopy after centrifuge
More sensitive than light microscopy
Useful for screening large number of samples
Quick and saves times
D. Malarial serology – antibody detection Antibodies to asexual parasite appears some days to invasion of
RBCs and may persists for months
Positive test indicate past infection
Not useful for treatment decisions
Valuable epidemiological tools
E. Malarial serology – antigen
detection Immunological assey to detect specific antigens
Monoclonal and polyclonal antibodies used in antigen capture tests
Specific species and pan specific antibody
Cross reactivity with other immunological conditions
Malarial antigen detection - RDTs
Feature PfHRP 2 PLDH
Principle Use monoclonal antibodies
Detect HRP of Pf
Use monoclonal and polyclonal
antibodies
Advantage • Threshold for parasite detection
ad low as 10 parasites/ microliter
• Does not react with other species
• Threshold for parasite detection ≥
100 parasite/ microliter
• Can detect all parasite
Disadvantages • Sensitivity and specificity
decreases as low as 10 parasite /
microL
• May remain positive upto 14 days
posttreatment
• Cannot detect mixed infection
• Sensitivity and specificity decreases
< 100 parasite/ microliter
Sensitivity and
specificity
• Sensitivity 94-100%
• Specificity 88-100%
• Sensitivity pf 88-98%, pv 84-94%
• Specificity pf 93-99%,pv 99-100%
G. Real time PCR
Molecular technique to identify parasite genetic materials
Threshold for detection 1.1 parasite/µL if whole blood is used, if filter
paper used it is 2 parasite/ parasite/µL
Species diagnosis present
F. Polymerase chain reaction
H. Automation based malaria technique
Hematological parameter and their different combination predict
presence of malaria
Low platelet count as strongest predictors, variable MPW, normal to low
Plateletcrit and PDW
TLC can be increase or decrease. Leukopenia more seen
Normocytic normochromic anemia, low Hb, decrease RBC count raised
ESR, low MCV, MCH, MCHC
Intracellular pigments can also be detected
Filaria
Lymphatic – wucheria, Brugia
Subcutaneous: Loa loa
Sereous: Mansonella
Sample collection between 10 pm to 4 am
Appearance of microfilaria
Measurement 290x7micron
Covered with sheath
Nuclei present all over but not at the tip of tail
Neclei are brolen at different point serving as
lamdmark for identification
Babesia
Parasite are intracellular amastigote form. Essential
parasite of RE System
Amastigote form are seen in monocytes, less
commonly neutrophils
Leishmania
Infect mice. Transmitted in between host by
ticks
Infected humans may be asymptomatic, but in
asplenic host fever, myalgia, haemolysis can be
seen
Maltase cross seen in PS
Trypanosoma Cruzi- Chagas disease
Trypanomastigote in peripheral blood
Amastigote in striated muscles
White blood cells
White blood cells
The term leuckocyte is derived from Greek word leukos = white and
cyte = cells.
However blood plasma appears green if there is large amounts of neutrophils in the sample, due to haem containing enzyme
Myleoperoxidase
Normal counts
Age Count
Birth 4-40 x 109/L
4 years 5-15 x 109/L
Adult 4-11 x 109/L
Types
Granulocyte (polymorphonuclear) Agranulocyte (mononuclear)
Contain membrane bound granules, which
stains differently with stains
Apparently absent granules, but contain
non specific azurophilic granules
E.g.
Neutrophils
Basophil
Esionophil
E.g.
Lymphocyte
Monocyte
Macrophage
Leukocytosis
High count usually indicate
1. Increase production of WBC to fight infection
2. Reaction to drug that enhance WBC production
3. Disease of marrow, causing high production of WBC
4. An immune system disorder that increase WBC
Leukocytosis Leukopenia
Acute and chronic infections
Polycythemia vera
Rheumatoid arthritis
Drugs
Allergy
ALL
AML
CLL
CML
Hairy cell leukamia
Smoking
Stress
Tissue damage such as burns
Lymphoma Spillage
Measles
Myleofibrosis
Chemotherapy or radiotherapy
Sepsis
Typhoid
Malaria
Tuberculosis
Dengue
Folate deficiency
Drugs like antipsychotic
Aplastic anemia
HIV and AIDS
SLE
Hodkins lymphoma
Rickettsial infections
Pseudo-leucopenia Seen during the onset of infections due to
marginated WBC
Band cells
Usually constitute <5-10% of white blood cells
An increase in number of band cell and other immature neutrophils
is called a “ shift to left” can be seen in
Severe infections, sepsis
Non infectious inflammatory disease
Pregnancy
Causes of increased neutrophil: ANC >75000/cumm
1. Physiologic increase (Demargination)
• Release of cell in marginal pool
• Stress leukocytosis
• Exercise, Seizure
• Anxiety, Epinephrine
2. Acute infections
3. Tissue injury and inflammation
• Collagen vascular disease
• Hypersensitivity
• Burns
4. Myeloproliferative disorders: myeloid leukemia, polycythemia vera
5. Medications: Corticosteroid, lithium
6. Misc.: Sickle cell anemia, acute hemorrhage
Causes of Neutopenia
1. Decrease or ineffective production
• Aplastic anemia
• Drug
• Deficiency – vitamin B12, Folic acid
• Myelodysplastic syndrome
• Inherited disorder – Kostamann
synd.
2. Increased removal from circulation
• Immunological – SLE, Drugs
• Hypersplenism
Hematological Scoring System
(HSS): Neonatal Sepsis
HSS can be very useful to differentiate the infected from non-infected infants
It has high sensitivity and specificity
An immature to total neutrophil ratio [I:T] along with degenerative changes >immature to mature [I:M] is the most sensitive indicator of sepsis in infant
Immature include: promyleocyte, myleocyte, metamyleocyte and band cells
Degenerative changes: vacuolization, toxic granules and Dohle bodies.
Confirmation by Blood Culture
Hematological Scoring System (HSS)Criteria Abnormality Score
WBC <5000/microL
>25000 at birth
>30000-(12-24h)
>21000 day 2 onwards
1
1
1
1
Total PMN count No mature PMN seen
Increase/ destruction
2
1
Immature PMN count Increased 1
Immature: total PMN ratio Increased 1
Immature: mature PMN ratio >0.3 1
Degenerative changes in PMN Toxic granules/ Vacuoles 1
Platelet count <150000 microL 1
Score Interpretation
<2 Sepsis is unlikely
3-4 Sepsis is possible
>5 Sepsis or infrction is very likely
Cytokinin
Myeloid precursor in bone marrow
Cell
Cell is altered
White cells more
readly exits marrow
Increase
phagocytic activity
Cytoplasmic
inclusions may
appear
Enhanced enzyme
production and
packing resulting in
large granules
Toxic vacoulisation
Left
shift
Dohle
bodies
Increase
phagocytic activity
Cytoplasmic
inclusions may
appear
Left
shift
Toxic vacoulisation
Toxic granulation and vacuolization
Indicate the presence of increased granules that are larger and
more basophilic in normal
Seen in
Severe infection
Aplastic anemia
Burns
Malignancy
Treatment with CSF
Pregnancy
Dohle bodies
Composed of rough endoplasmic reticulum and glycogen granules
Small blue grey inclusion seen in neutrophil usually in periphery
Seen in
Infections
Inflammatory disorders
Pernicious anemia
Myeloproliferative disorders
Myelodysplastic disorders
Cancer chemothrapy
Hypersegmentation
Exists when > 5% of neutrophils have 5 or more lobes
Seen in folate and vitamin B12 deficiency
Myeloproliferative disorders
Myelodysplastic disorders
Pelger Huet anamoly
70-90% neutrophils have
hypolobulated, rounded nuclei, with
condense chromatine
A thin strand connect the lobes giving
rise to pince-nez (spectacle) shape, or
a larger bridge give rise to peanut
shape.
Heridetery hypolobulation has no
significance
Acquired (Pseudo Pelger Huet) anamoly, common in myelodysplastic
and myeloproliferative disorders
Auer Rods
Seen in myeloid blast of acute leukemia
They are fused lysosomes and contain lysosomal
enzyme and large crystalline inclusions, seen in the cytoplasm of leukemic blast
They are virtually pathognomic of myeloid
leukemia
Leukamoid reactions
Leukamoid reaction is a haematological
disorder that simulates leukemia due to high
WBC counts and presence of some immature
leukocytes. In leukamoid reaction the cells
are not clonally derived.
Persistant neutrophilia with cell count of
>30000-50000/microL is called myeloid
leukamoid reaction
Leukamoid alkaline phosphate score (LAP-
score) can differentiate leukamoid reaction
from CML. LAP score is raised in leukamoid
reaction whereas decreased in CML
Some causes of leukamoid reaction Causes Myelocytic Lymphocytic Monocytic
Infections Endocarditis
Pneumonia
septicemia
Leptospirosis etc.
Infectious mononucleosis
Pertusis
Varicella
Tuberculosis
Tuberculosis
Toxic conditions Burns
Poisoning -mercury
Eclampsia
Neoplasia Ca Colon
Embryonal carcinoma of
kidney
Carcinoma of stomach
Carcinoma of breast
Others Acute haemorrhage
Acute haemolysis
Dermatitis herpitiformis
Eosinophils
Cells having large dinstintive red orange specific
granules in cytoplasm, which contain histamine
and other substances
Lives 6-12 hours in circulation, migrate into tissues
Normal range: 1-4% of total WBCs
Absolute count: 12-500cells/ microliter
Diurnal variation – related to cortisol level: lowest
in morning, highest in evening
Eosinophilia Eosinopenia
Mild 700-1500
• Allergic rhinitis
• Extrinsic asthma
• Mild drug reaction
• immunodeficiency
Usually related to increased steroids
Cushing syndrome
Drugs
ACTH, epinephrine, thyroxine
Acute bacterial infections
Moderate 1500-5000
Parasitic disease
Intrinsic asthma
Pulmonary Eosinophilia syndrome
Marked >5000
Trichinella
Hookworm
Toxocara canis
Severe drug reaction
Eosinophilic leukamia
Basophils
Contain large purplish granules, granules obscuring the nucleus
Releases bradykinin, heparin, serotonin, histamine
Mediates allergic reactions
Circulate for few hours(6-12) then migrates into tissue
Range 0.5-2%, absolute count 6-200 /microloiter
Basophilia - causes
Hypothyroidsm
CML
Ulcerative colitis
Polycythemia vera
Uticaria
Chickenpox
Splenectomy
Monocytes
Agranulocytes, contain greyblue granules
Life span 8hrs-30days, migrate in tissue and became macrophage
Monocytosis Monocytopenia
>700 /mcL or >12% WBC
• Viral infections
• Tuberculosis
• Sub acute bacterial endocarditis
• Collagen disease
• Chronic inflammation
• Stress
• Infectious mononucleosis
• Sarcoidosis
• Autoimmune
• SLE
• Rheumatoid disease
Hairy cell leukemia
Aplastic anemia
Lymphocytes
Lymphocytosis Lymphocytopenia
Infectious mononucleosis
Tuberculosis
Brucellosis
Cytomegalvirus
Rubella toxoplasma
Hepatitis A,B
Wooping cough
ALL
Burkitt lymphoma
CLL
Hairycell leukemia
Non Hodgkin's lymphoma
X- linked lymphoproliferative disorders
Viral infections
HIV
SARS
Marrow suppression
Pancytopenia
Drugs: Vinblastin, Doxorubicin,
Chromphenicol
Platelets Thrombopoiesis take place
in bone marrow
1 megakaryocyte produce 4000 platelets
Normal platelet are about 1.3 micron, blue grey, contain fine, purple to pink granules
Red cell to platelet ratio : 10-40:1
Life span 9-12 days
Range : 1.5-4.5 lakhs/microL
Thrombocytopenia
Grade 1- counts is between 75,000 -150,000
Grade 2- counts is 50,000 < 75,000
Grade 3 – 25,000 to < 50,000
Grade 4 - < 25,000
Thrombocytopenia Decrease production Increase destruction Abnormal distribution
• TAR syndrome
• Amegakaryocytic
thrombocytopenia
• Aplastic anemia
• Myelodysplatic synd
• Bome marrow
hypoplasia or
infiltration
• Ineffective
thrombopoisis due to
folate deficiency
• Heridietery
• May Hegglin
anamoly
• Wiskott Aldrich
Syndome
• Immune mediated
• SLE
• ITP
• Drugs like heparin
• HIV
• Posttransfudion
purpura
• Non immune
• Severe bleeding
• DIC
• Vasculitis
• vWD
• TTP
• HUS
Hypersplenism
Dilutional, due to
massive transfusion
Pseudo- thrombocytopenia
(artifactual)
A. EDTA induced platelet agglutination
This is invitro phenomenon due to presence if auto antibodies against a
crypt antigen on the GP IIb/ IIIa receptor, when calcium is chelated by
EDTA, the GPIIb/IIIa get exposed and causes agglutination of platelets
Occurs in 1% of hospitalized patients
No evidence of abnormal haemostasis
Confirmed by sampling on citrated blood
B. Platelet satellitsm: platelet rossete formed around the neutrophil or
any other cells. These satellite platelets are not counted by
counter. It is caused by EDTA dependent antiplated and antineutrophil IgG antibodies. It is not associated with any disease
C. Cold agglutinin: temperature dependent phenomenon. Sample has to
be warm to 37 degree C to get accurate platelet count
D. Giant platelet or Megakaryocyte: platelet larger than 36fl is counted as red cell in counter, resulting in low platelet count
Mean platelet volume is increase in giant platelets
Young platelets are usually larger
Causes of large platelets include:
Hereditary – Bernard Soulier Syndrome, Benign Mediterranean
macrothrombocytopenia
Acquired – immune thrombocytopenia purpura
Myeloproliferative syndrome
Myleodysplasia
DIC
TTP
Partially clotted specimen: some platelets get consumed
Thromboasthenia: Platelets with normal count but abnormal
function, leading to episodes of bleeding
(A) Inherited : (B) Acquired
1. Aggregation defect: Glanzmann
thrombosthenia, congenital
afibrinogenemia
2. Platelet adhesion defect: Bernard Soulier
syndrome, vBD
3. Signaling pathway defect: defect in
calcium mobilization, thromboxane
synthetase deficiency,cyclooxygenase and
lipoxygenase deficiency
4. Agonist receptor defect: thromboxane
receptor deficiency
5. Secretion defects: Chediak Higasi synd,
storage pool disease, Wiskott Aldrich synd,
Grey platelet syndrome
1. Essential thrombocytopenia
2. Uremia
3. Antiplatelet antibodies
4. Myeloproliferative disorders
5. Polycythemia vera
6. CML
7. Acute leukemia
8. Myleodysplastic syndrome
9. vWD
10.Liver disorders
Thrombocytosis
Myleoproliferative disorders Transfer from extravascular pool Thrombocytosis secondary to
Essential thrombocytosis
Idiopathic myleofibrosis
Polycythemia vera
Chronic granulomatous
leukemia
Splenectomy
Exercise
Epinephrine
Iron deficiency
Infections
Hemolysis
Malignancy
Acute blood loss
Mean platelet volume - MPV
Measurment that describe the average size of the platelet in the blood.
It is indicator weather bonemarrow is manufacturing platelets normally or there is some kind of production pressure
MPV has inverse relation with platelet count
change in mean platelet volume without any change in platelet count may be early indicator of bone marrow problem
Platelet are considered large when 49-8 micron diameter and giant when equals RBCs
Normal range – 7.4-10.4fL
Increase MPV (megathrombocytes) Decrease MPV
ITP
TTP
Bernard Soulier synd
May Hagglin disease
Sepsis - recovery phase
Heart valve prosthesis
Myelodysplasia
Sickle cell anemia
Hyperthyroidsm
Aplastic anemia
Wiskott Aldrich syndrome
TAR synd
Storage pool disease
Megaloblastic anemia
Hypersplenism
Note: in general platelets are large when thrombocytopenia results from increased
destruction and small with disorders of diminished production.
If platelet count is low and MPH is high the risk of bleeding is comparatively less as
larger platelets have multifold better hemostatic capacity than normal size
platelet.
Platelet distribution width (PDW)
Compares uniformity and heterogeneity of platelet size; as RDW
Increased in
Essential thrombocytopenia
Aplastic anemia
Megaloblastic anemia
CML
Chemotherapy
Fragmented RBCs
PDW is a relative good tool to distinguishessential thrombocythemia
(PDW increase) from reactive thrombocytosis (PDW normal)
Plateletcrit
It is the volume percentage that platelets match on total blood
volume of blood, and it is directly related to the total volume of the
platelets and MPV
Normal Range 0.110-0.280
Peripheral smear in thrombocytopeniaRBC lineage
• Schistocytes Microangiopathic haemolytic anemia, DIC, HUS
• Malaria parasite Thrombocytopenia, pf
• Spherocytes AIHA+thrombocytopenia (Evan Syndrome)
• Normoblast and polychromasia HELLP
• Autoagglutination Cold antibodies
WBC lineage
Increase polymorphs Infection/ septicima
Toxic granules band cells Septicimia
Precursor cells, blast cells Leukaemia
Dysplastic cells MDS
Platelet lineage
Giant platelets ITP,BSS, May Heglin, grey platelet synd,
montreal platel,sebstian syndrome
Scattered platelet in direct smear Glanzmann synd
Manual vs Automation hematology Manual with Neubauer chamber are used mainly used
where there is economic considerations and non
availability of automation
Disadvantages of manual counting
Cell identification:
mostly between lymphocyte, monocytes, band cells
Segmented form and abnormal cells
Lymphocytes may be over estimated and monocytes may be
underestimated
Cell distribution error : increased cell concentration along
edges and also bigger cells
Statistical sampling errors
Automated counters provides a 3
or 5 or 7 part differential count
3 part differentiation 5 part differentiation 7 part differentiation
1. Granulocytes or larger cells
2. Lymphocyte or smaller cells
3. Monocytes or mid cell
population
1. Neutrophils
2. Eisonophils
3. Basophils
4. Lymphocytes
5. Monocytes
6. A sixth category “large”
unstained cells, include
cells larger than normal
and lacks peroxidase
activity- atypical
lymphocytes and other
abnormal cells
Include 5 part
• Large immature cells- blast
and immature granulocytes
• Atypical lymphocytes
Cell counter – basic principle
Inventor - Wallace Coulter
Electrical impedence principle of cell counting: The cell size are counted by detecting and measuring changes in the electrical
resistance when a particle passes through a small aperture.
Mathematically
V=RxC V-voltage, C – current, R= resistance
The electrical system : circuitry, sequence controls, transformers
The hydraulic system : aspirating unit, dispenser, diluents, mixing
chambers, flow cells, aperture bathes and haemoglobinometre
Pneumatic system : vacuum and pressure devices
Computer system
Cell counter – basic components
Radiofrequency principle of cell counter
This employ high voltage electromagnetic currents, which can estimate the cell
size based on cellular density and nuclear volume
It measures the conductivity and the conductivity is altered by nuclear to
cytoplasmic ratio, nuclear density, granulation.
VCS principle of cell counter
VCS= volume, conductivity, scatter
Direct current – measures the size of the leukocytes based upon its volume
Conductivity – HF radiowaves measures conductivity of the cells
Scatter – laser light beam evaluates the surface feature, structure, shape, granularity and reflectivity
Coincidental or Recirculation errors
If more than 1 cell passes through the counting aperture at the
same time and is counted as one cell, this is called coincidental
error
Advantages of automated cell
counters
No inter-observer variability
No slide distribution errors
Eliminate statistical error
Many parameter are available e.g. RDW, histogram
More efficient and time effective
High level of precision and accuracy
Thanks
and give blood