PROPOSAL FOR MASTER OF SCIENCE IN HUMAN … · Web viewA Comparison between Capillary and Venous...
Transcript of PROPOSAL FOR MASTER OF SCIENCE IN HUMAN … · Web viewA Comparison between Capillary and Venous...
A Comparison between Capillary and Venous Blood in
the Determination of Anaemia in Pregnancy
A Project Report submitted to the University of Nigeria, in partial fulfilment
of the requirement for the award of the Master of Science in Human
Physiology
By
DIM, Cyril Chukwudi
(PG/MSC/06/46404)
Department of Physiology
Faculty of Medical Sciences
University of Nigeria Enugu Campus
Supervisor: - Ugochukwu Bond Anyaehie, PhD
July, 2013
CERTIFICATION
We certify that the contents of this project were conceptualized and developed
after a problem identification and discussion with the supervisor. We are certain
that the candidate conducted the study conscientiously. He has also satisfactorily
completed the requirements of the course work. The work is original, and has not
been presented to any examining body.
................................................ ......................................Dr. U. B. Anyaehie Date (Project Supervisor)
............................................... .........................................Dr. E. E. Iyare Date(Head of Department)
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DECLARATION
I hereby declare that the research work presented in this Project Report was carried
out by me after ethical approval by the Institutional Review Board of University of
Nigeria Teaching Hospital (UNTH) Enugu.
I declare no conflict of interests. Where other peoples’ works were used in this
document, they were acknowledged and cited appropriately.
…………………………..Dim, Cyril C.
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DEDICATION
This Project Report is dedicated to my dear mother Lady Catherine E. DIM, who
passed on to eternal glory, during the final preparation of this work.
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ACKNOWLEDGEMENTS
My sincere gratitude goes to the University of Nigeria for offering me the
opportunity to participate in the programme. I thank all my lecturers especially Dr.
Udeh J. F. and Prof. Igwe J. C. for their dedication to duty. I am also very grateful
to Prof. Igwe J. C. who was supervising this project before his relocation to
another University. I commend the Head of Department – Dr. Iyare E. E. and my
current supervisor Dr. Anyaehie B. U. for their commitment to the post-graduate
programme in Human Physiology in the University of Nigeria.
I acknowledge my field officers – Drs. Obiora, Ugwu, and Ebube for assisting me
during data collection despite their busy schedule.
The project would not have been possible without the support and understanding
of my wife Ngozi, and children - Chidi, Chukwuma, and Amarachi.
Finally, I give thanks and praises to God Almighty, the giver of life for sustaining
me during the M.Sc programme.
Dim CC
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TABLE OF CONTENTS
Contents
CERTIFICATION................................................................................................................i
DECLARATION.................................................................................................................ii
DEDICATION....................................................................................................................iii
ACKNOWLEDGEMENTS................................................................................................iv
TABLE OF CONTENTS.....................................................................................................v
LIST OF FIGURES...........................................................................................................vii
LIST OF TABLES............................................................................................................viii
ABBREVIATIONS............................................................................................................ix
ABSTRACT.........................................................................................................................x
CHAPTER ONE: INTRODUCTION..................................................................................1
1.1 Background............................................................................................................1
1.2 Study justification..................................................................................................3
1.3 Study hypothesis....................................................................................................4
1.4 Aim and objectives................................................................................................5
1.41 Aim....................................................................................................................5
1.42 Objectives..........................................................................................................5
CHAPTER TWO: LITERATURE REVIEW......................................................................6
2.1 Human blood and pregnancy.................................................................................6
2.2 Physiologic anatomy of the capillary and vein......................................................8
2.3 Anaemia and pregnancy........................................................................................9
2.4 Capillary and venous haematocrit.......................................................................10
CHAPTER THREE: PATIENTS AND METHODS.........................................................13
3.1 Study center.........................................................................................................13
3.2 Study area............................................................................................................14
3.3 Patients................................................................................................................15
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3.4 Eligibility.............................................................................................................15
3.5 Exclusion criteria.................................................................................................15
3.6 Study design and sample selection......................................................................16
3.7 Sample size determination...................................................................................16
3.8 Ethical clearance..................................................................................................17
3.9 Data collection and analysis................................................................................17
3.10 Quality control measures.................................................................................19
3.11 Primary outcome measure................................................................................19
3.12 Secondary outcome measures..........................................................................19
CHAPTER FOUR: RESULTS..........................................................................................20
4.1 Socio-demographic characteristics......................................................................20
4.2 Capillary and venous packed cell volume...........................................................22
4.3 Anaemia in pregnancy and its variation with source of blood............................24
4.4 Arm preference for blood sample collection.......................................................27
CHAPTER FIVE: DISCUSSION AND CONCLUSION..................................................30
5.1 Discussion............................................................................................................30
5.2 Conclusion...........................................................................................................34
5.3 Recommendations...............................................................................................34
References......................................................................................................................35
APPENDIX 1: Study profoma.......................................................................................39
APPENDIX 2: Ethical clearance certificate...................................................................40
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LIST OF FIGURES
Figure 1: Changes in total blood volume, plasma volume, and RBC during
pregnancy
Figure 2: Structure of blood vessels
Figure 3: Scatter diagram of cPCV versus vPCV
Figure 4: Participants arm preference for blood sample collection
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LIST OF TABLES
Table 1: Distribution of participants’ characteristics....................................21
Table 2: Prevalence of anaemia and gestional age groups............................25
Table 3: Anaemia in pregnancy and sources of blood sample......................26
Table 4: Participants' arm preferences and reasons.......................................29
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ABBREVIATIONS
ANC: Antenatal clinic
Hb: Haemoglobin
Hct: Haematocrit
n.d: No date
PCV: Packed cell volume
cPCV: Capillary packed cell volume
vPCV: Venous packed cell volume
RBC: Red blood cells
UNEC: University of Nigeria Enugu Campus
UNTH: University of Nigeria Teaching Hospital
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ABSTRACT
Blood samples for packed cell volume (PCV) estimation are obtained from either
the veins or capillaries. However, the volume of red cells in capillary blood varies
from venous blood. The extent of this variation as well as its impact on the
diagnosis of anaemia has not been studied in pregnancy. To determine whether
capillary blood PCV differed from venous blood PCV of apparently healthy
pregnant women in Enugu, Nigeria, as well as the effect of the source of blood on
prevalence of anaemia in pregnancy. PCV was estimated using pairs of venous and
capillary blood samples collected from a cohort of 200 consecutive pregnant
women at the antenatal clinic of UNTH Enugu. Questionnaires were used to obtain
data on participant’s arm preference for blood sample collection. Data analysis was
both descriptive and inferential at 95% confidence level. The mean capillary PCV
(cPCV) of participants was 33.5 ± 3.57% while that of venous PVC (vPCV) was
34.3 ± 3.74% (P < 0.001). The difference between cPCV and vPCV pairs ranges
from -5% to +5% (mean = -0.83 ±1.54). Prevalence of anaemia was 33.5% or
28.0% using the capillary or venous blood respectively [O.R = 1.3 (CI 95%: 0.85,
1.98)]. A majority (47.5%) of participants did not express any specific arm
preference for blood sample collection. PCV from capillary blood is significantly
lower than that of venous blood among normal pregnant women in Enugu, Nigeria.
Likewise the prevalence of anaemia in pregnancy derived from cPCV is higher
than that of vPCV. Maternity units should use venous blood for PCV estimation.
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CHAPTER ONE: INTRODUCTION
1.1 Background
Blood is a specialized fluid made up of cells suspended in plasma. It is
essentially confined within the blood vessels which vary in structure and
function, depending on the type. The capillaries connect the arterial to the
venous vascular system and are responsible for the exchange of gases and
nutrients between cells and the blood. Only 5% of the blood is in the
capillaries and in dilated state, the calibre of the capillary is just sufficient to
permit red blood cells (RBC) to squeeze through it in a single file (Ganong,
2005). Some sites such as the fingers, ear lobes, and the heels have extensive
capillary network and are often used for the collection of blood samples for
laboratory investigations, especially packed cell volume (PCV) or
haematocrits (Hct), which is one of the most widely measured
parameters in medical practice (Baskurt et al., 2006). On the
other hand, the veins have intact walls and transmit blood from the
capillaries, through the venules, to the right chamber of the heart. They are
superficial when compared to the arteries, especially in the limbs, and are
used for collection of blood specimen for haematological and other
investigations.
Anaemia is defined as having below normal values for the total volume of
red blood cells, the number of normal red blood cells, or the amount of
hemoglobin in these cells (USAID, 1997). The proportion of blood made of
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red blood cells is referred to as the Hct or PCV. In pregnancy, anaemia
implies a PCV of less than 33% or a haemoglobin concentration of less
11gm% (WHO, 1992). Anaemia in pregnancy continues to be a major health
problem in many developing countries and is associated with increased rates
of maternal and perinatal mortality, premature delivery, low birth weight,
and other adverse outcomes (Mahomed, 2004; Nyuke and Letsky, 2000).
More than half of the pregnant women in the world have haemoglobin levels
indicative of anaemia (WHO, 1992). However, while only 15% of pregnant
women are anaemic in developed countries, the prevalence of anaemia in
developing countries is relatively high (33-75%) (Dim and Onah 2007;
Massawe et al., 1999; Nyuke and Letsky, 2000; WHO, 1992). The
commonest cause of anaemia in pregnancy worldwide is iron deficiency
(Nyuke and Letsky, 2000). The predisposing factors include
grandmultiparity, low socio-economic status, malaria infestation, late
booking, Human Immunodeficiency Virus (HIV) infection, and inadequate
child spacing amongst others (Adinma et al., 2002; Aimaku et al, 2003;
Aluka et al., 2001; Amadi et al., 2000). Pregnant women are therefore
screened for anaemia during antenatal service and placed on prophylactic
oral iron therapy. This is an important secondary preventive health strategy
aimed at early detection and treatment of anaemia in pregnancy.
It has been shown that the red cell volume of capillary blood is less accurate
when compared to that of venous blood, especially in severe anaemia
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(USAID, 1997). In pregnancy, there is marked physiological and anatomical
changes including the disproportionate increase in blood volume and red
blood cell mass (Koos and Moore, 2003). These changes may affect the
accuracy of capillary blood PCV which may negatively influence the
diagnoses and management of anaemia in pregnancy.
1.2 Study justification
Pregnancy is a physiological condition characterized by lots of systemic
changes necessary to support the growth of the fetus. Though most
pregnancies are normal, complications often arise causing varying degrees of
maternal and perinatal morbidity and mortality. A very important
complication of pregnancy in sub-Saharan Africa is anaemia. A report from
the study area showed a high prevalence (41.9%) of anaemia among
pregnant women at booking (Dim and Onah, 2007).
Blood samples for assessment of PCV are often collected from the veins or
the capillaries and the results got are accepted without regards to the source
of the specimen. Most often, especially in emergency situations, the capillary
blood sample from finger pricks are often used for PCV estimation probably
because it is easier and faster. However, because of peculiarities of blood
and the capillary microcirculation, it has been shown that the volume of red
cells in capillary blood varies from that of the venous blood (Baskurt et al.,
2006). This disparity between capillary and venous blood PCV has been
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reported in several studies (Daae et al., 1988; Daae et al., 1991; Yang et al.,
2001) but none of them involved pregnant women. It is not known whether
pregnancy state attenuates the disparity or worsens it. The concern is
heightened by the fact that PCV results from both capillary and venous blood
are used interchangeably in the study area Therefore, it becomes very
important to study the similarity or otherwise of capillary and venous PCV in
pregnancy. This will ensure uniformity as regards the diagnosis of anaemia
in pregnancy.
On the other hand, it is expected that patient’s arm preference should be
sought for and respected by a caregiver / phlebotomist during the collection
of blood sample for any investigations (University of Virginia (UVA) Health
System, 2011); this should be more important during antenatal care because
a majority of pregnant women are healthy. However, this consideration does
not seem to be the practice in the study area based on the investigator’s
personal observation. Therefore, in order to initiate and encourage the
practice of seeking for and respecting arm preference during blood sample
collection from pregnant women at the study center, it is important to
demonstrate that this group of women do have varying arm preferences.
1.3 Study hypothesis
There is no difference between the mean values of capillary and venous PCV
of pregnant women in Enugu, South-eastern Nigeria.
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1.4 Aim and objectives
1.41 Aim
To determine whether capillary blood PCV differs from venous blood
PCV of healthy pregnant women in Enugu, South-eastern Nigeria.
1.42 Objectives
To compare the mean capillary PCV(cPCV) and venous PCV
(vPCV) of normal pregnant women in Enugu
To determine the prevalence of anaemia in pregnancy and its
variation with the source of blood (capillary or venous)
To determine patients arm preference as regards to the source of
blood for PCV estimation in pregnancy.
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CHAPTER TWO: LITERATURE REVIEW
2.1 Human blood and pregnancy
The human blood is made of cellular elements – red blood cells, white blood
cells, and platelets, suspended in plasma. The normal total circulating blood
volume is about 7% of the body weight. About 60% of this volume is plasma
while 40% is RBC, but these percentages can vary considerably depending
on gender, weight, and other factors including pregnancy (Guyton and Hall,
2006). The nature of blood as a suspension with characteristic flow
properties is the basis of the uneven distribution of total red cell mass and
plasma volume in the cardiovascular system (Gaehtgens, 1984).
In pregnancy, the most striking maternal physiologic alteration is increase in
blood volume (Koos and Moore, 2003). The average increase in volume at
term is 45-50%. The magnitude of increase is affected by the woman’s size,
gravidity, parity, and number of fetuses (Koos and Moore, 2003).
The increase in red blood cell mass is about 33%, or approximately 450 ml
of erythrocytes. However, plasma volume increases earlier in pregnancy and
faster than red blood cell volume leading to a fall in Hct until the end of the
second trimester, when the increase in RBC is synchronized with the plasma
volume increase (Koos and Moore, 2003). A graphical description of the
physiological changes in blood volume and RBC during pregnancy is shown
in figure 1.
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Figure 1: Changes in total blood volume, plasma volume, and RBC during pregnancy
Furthermore, as part of the physiologic changes in pregnancy, there are
remarkable changes in white blood cells, platelets, and clotting factors (Koos
and Moore, 2003).
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2.2 Physiologic anatomy of the capillary and vein
Figure 2: Structure of blood vessels
Capillaries are extremely narrow blood vessels of approximately 5-20 micro-
metres in diameter. They are supplied with blood by arterioles and drained
by venules. There are extensive networks of capillaries in most of the organs
and tissues of the body with an estimated wall area of over 6300m2 in the
adult (Ganong, 2005). This distribution of capillary network at the body
extremities such as the finger-tips and ear lobes, are utilized in clinical
practice for the collection of blood specimen for various laboratory
investigation. Capillary walls, which are about 1 micrometer thick, are made
up of a single layer of endothelial cells (Fig. 2), which permits exchanges of
material between the contents of the capillary and the surrounding tissue as
opposed to simply moving the blood around the body as in the case of other
blood vessels (IvyRose, 2012).
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On the other hand, the walls of veins consist of three layers of tissues that are
thinner and less elastic than the corresponding layers of arteries. Unlike the
capillaries, there is no exchange of materials across walls of the veins rather;
they are responsible for transport of blood from the capillaries through the
venules to the heart (IvyRose, 2012). The intima of the limb veins is folded
at intervals to form venous valves that prevent retrograde flow of blood
(Ganong, 2005).
2.3 Anaemia and pregnancy
Anaemia in pregnancy is defined by the WHO as a haemoglobin
concentration of less than 11.0 gram% or a packed cell volume of less than
33% (WHO, 1992). It is an important cause of both maternal morbidity and
mortality. More than half of the pregnant women in the world have
haemoglobin levels indicative of anaemia (WHO, 1992). However, while
only 15% of pregnant women are anaemic in developed countries (WHO,
1993), the prevalence of anaemia in developing countries is relatively high
(33-75%) (Dim and Onah 2007; Massawe et al., 1999; Nyuke and Letsky,
2000; WHO, 1992).
The commonest cause of anaemia in pregnancy worldwide is iron deficiency
(Nyuke and Letsky, 2000). The predisposing factors include
grandmultiparity, low socio-economic status, malaria infestation, late
booking, Human Immunodeficiency Virus (HIV) infection, and inadequate
child spacing amongst others (Adinma et al., 2002; Aimaku et al, 2003;
9
Aluka et al., 2001; Amadi et al., 2000). Pregnant women are therefore
screened for anaemia during antenatal service and placed on prophylactic
oral iron therapy. This is an important secondary preventive health strategy
aimed at early detection and treatment of anaemia in pregnancy.
2.4 Capillary and venous haematocrit
Blood samples for PCV estimation are often collected from the veins or the
capillaries. However, it has been shown that the volume of red cells in
capillary blood is lower than that of the venous blood by 1% to 3% (Baskurt
et al., 2006; USAID, 1997). Also, the Hct of capillary blood is regularly
about 25% lower than the whole-body Hct (Ganong, 2001). The mechanisms
involved are the uneven distribution of red blood cells (RBCs) to daughter
branches at microvascular bifurcations, often referred to as "plasma
skimming”, the axial accumulation of erythrocytes in the small blood vessels,
as well as the difference in travelling speed between cells and plasma in the
microcirculation (Fahraeus effect) (Baskurt, 2006; Carr and Wickham, 1991;
Gaehtgens, 1981). Furthermore, insufficient deformation of RBC prevents
the cells from entering a small capillary (screening effect) (Perkkio and
Keskinen, 1983). These mechanisms are for different reasons, affected by
changes in vascular smooth muscle activity; as a consequence, haematocrit
distribution is coupled to the mechanisms regulating vascular resistance
(Gaehtgens, 1984). The effect of the pregnancy state on this disparity is
however not known.
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In a cross-sectional study of 43 healthy adults of both sexes in Norway, Daae
et al. (1988) found that the capillary Hct and haemoglobin values
significantly exceeded those of venous blood by about 3%. The mean
capillary PCV was 41.4% while that of the venous PCV was 40.2% – the
difference ranges from – 4.9% to + 7.2%. They noted that the observed
difference might not be of any practical relevance.
In another study in Norway (Daae et al., 1991), haematological parameters
between capillary and venous blood were compared using 16 hospitalized
children aged 3 months to 14 years. The capillary Hct and haemoglobin
values exceeded those of the control (venous blood) by 3% - the mean
capillary and venous PCV were 37% and 36 % respectively. Also, the
average difference of capillary and venous PCV was +2.43% (range: -4.0%
to +11.5%). The authors suggested that blood from skin puncture was mainly
arteriolar and they attributed the difference in observed PCV to the lamina
flow which is characterized by a central and rapid stream of concentrated
RBCs.
Another cross-sectional study in China, compared the variations of blood
pictures in venous, fingertip and arterial blood (Yang et al., 2001). A pair of
venous and fingertip blood samples were simultaneously collected from 24
volunteers, and another pair of venous and arterial samples from another 12
volunteers. The volunteers were healthy adults (medical students), aged 20-
22 years, with equal males and females distribution. The mean capillary
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(finger prick) Hct of 40.5% was not significantly different from the observed
mean venous Hct of 40.1%. However, venous Hct was significantly higher
than arterial blood by about 3.1%. Contrary to the opinions expressed by
Daae et al (1991) above, Yang and co-workers felt that the study results
suggested that blood from pin prick mainly came from capillary and small
veins rather than arterioles.
Finally, though the PCV is the percentage of the volume of occupied by red
blood cells (Ganong, 2005), it is however, impossible to completely pack the
red cells together; therefore, about 3 – 4% of the plasma remains entrapped
among the cells after centrifuging of the blood, and the true haematocrit is
only about 96% of the measured haematocrit (Guyton and Hall, 2006). This
difference results in a consistent error in PCV determination which is
disregarded in clinical practice (Lewis and Kumari, 2000).
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CHAPTER THREE: PATIENTS AND METHODS
3.1 Study center
The study was carried out at the antenatal clinic (ANC) of University of
Nigeria Teaching Hospital (UNTH), Ituku-Ozalla, Enugu, Nigeria. The
hospital is a tertiary health care institution owned by the Federal government
of Nigeria. The new permanent hospital complex at Ituku-Ozalla is located
21 kilometers from Enugu metropolis , along Enugu-Port Harcourt Express
way (Vamed Newsletter, 2007). It was recently renovated and equipped
under the Federal Government assisted VAMED Engineering equipment
Programme. Afterwards, all services including the ANC clinic, hitherto
rendered at the old site were transferred to the permanent site with effect
from 8th January 2007 when the former was officially closed. The hospital
complex covers an area of about 200 acres and the current bed capacity is
500. There are ongoing expansion and development of the hospital within
the allocated land space of 747acres (306 hectares) (Vamed Newsletter,
2007).
In the past, UNTH Enugu was the only tertiary health care facility in the
south eastern region of the country. However with the establishment of at
least one federal health center per state of the federation, the catchment area
of the hospital is restricted mainly to Enugu state with few referrals from
neighbouring states.
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The ANC holds every weekday. It is an obstetrician–led prenatal care where
the services are rendered by obstetricians and their resident doctors.
3.2 Study area
Enugu state is one of the five states in southeast geopolitical zone of Nigeria.
It was created in 1991 from the old Anambra state. Its capital city is Enugu.
It lies within the West African rain forest region (latitudes 5 55 and 7 10
North and longitudes 6 50 and 7 55 East), through a land area of
approximately 8000 km2 (Enugu state of Nigeria, 2004). It shares borders
with Abia State to the South, Ebonyi State to the East, Benue State to the
Northeast, Kogi State to the northwest and Anambra State to the West. The
state has 17 local government areas most of which are predominantly rural
except the three within Enugu metropolis and some parts of Oji River. The
major occupations of inhabitants range from trading and civil service in the
urban area to subsistence farming and animal pasturing in the rural areas.
Economically, the incidence of poverty in the state is about 60% which
implies all the associated problems of low incomes, poor education and
health (Enugu state of Nigeria, 2004). According to the 2006 population
census, the Enugu state and Enugu Metropolis have population of 3,267,837
and 722,664 respectively with a female to male ratio of approximately
1:1(Federal Republic of Nigeria, 2006). The State has an annual population
growth rate of about 2.83% and the population is predominantly Igbos with
pockets of other tribes (Enugu state of Nigeria, 2004). Other health facilities
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within the state include the Enugu State University Teaching Hospital
Parklane, Enugu. In addition, there are numerous mission and private
hospitals/clinics in the State, as well as seven District Hospitals at Enugu
Urban, Udi, Agbani, Awgu, Ikem, Enugu-Ezike, and Nsukka. Also, there is
at least one health center or cottage hospital in every one of the seventeen
Local Government Areas and thirty nine Development Centers in the State
(Enugu state of Nigeria, 2004).
3.3 Patients
The study participants were selected from pregnant women attending the
ANC clinic of the study center.
3.4 Eligibility
The eligibility criterion for the study was:
Apparently health women with singleton pregnancy
3.5 Exclusion criteria
The exclusion criteria were:
Pregnant women with associated medical illness such as diabetes
mellitus and HIV infection.
Pregnant women who were acutely ill or those who presented with
obstetrics complications including pre-eclampsia, antepartum
haemorrhage.
Pregnant women who were not sure of their last menstrual period
Women who were not on haematinics
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3.6 Study design and sample selection
The study was a cross-sectional analytical study30 of consecutive consenting
normal pregnant women attending the ANC clinic of the UNTH, Enugu,
Nigeria from the 15th day of May 2012 to 25th June 2012.
Within the study period, pregnant women who visited the hospital every
weekday for antenatal care were given a group counselling about the study.
Those who expressed interest were screened for eligibility after which
individual counselling were offered and informed consent obtained. Each
selected woman served as her own control. The recruitment continued till the
targeted sample size was achieved.
3.7 Sample size determination
The sample size (n) was determined using the formula (Bahl et al., 2010):
n = (Z1 + Z2)2 × 2S2 / (µ1 - µ2)2
Where Z1 = 1.96 i.e. Z score for α error at 5% (95% confidence level)
Z2 = 1.28 i.e. Z score for estimated study power of 90%
S = Standard deviation for the outcome in the control (mean venous PCV).
μ1-μ2 = Minimum meaningful difference between means of study and
control groups .
In clinical studies, μ1-μ2 = Effect size (E), which is
= S × standardized effect size (assumed to be 0.35)
In a study among pregnant women in Enugu, Nigeria, Nneli and Egene
(2007) found a standard deviation (s) of the mean venous PCV of 1.41%
16
Therefore E = 1.41 × 0.35 = 0.49
Therefore, n = (1.96 + 1.24)2 × 2(1.41)2 / (1.41 × 0.35)2 = 171.4 ~ 172
For the study, a sample size of 200 was used.
3.8 Ethical clearance
The study was approved by the Institutional Review Board (IRB) of UNTH
Enugu. Certificate is attached.
3.9 Data collection and analysis
There was individual counselling of each woman recruited for the study,
after which her consent was obtained. The counselling centered on the need
for research in the health sector so as to improve patient care. It also
highlighted that the information requested would be treated with utmost
confidentiality and would be used strictly for research purposes. She was
also informed that the study involved finger pricks which would elicit pain.
Afterwards, information on each woman’s socio-demographic characteristic
was obtained by trained assistants (Medical interns).
The woman’s arm preference was sought for. The thumb (palmar surface of
distal phalanx) and the cubital fossa of the preferred arm were cleaned using
cotton wool soaked with 70% alcohol (USAID, 1997). Then, a quick stab-
puncture was made with a sterile lancet on the thumb of the chosen arm and
the freely flowing blood was collected into two plain standard-sized
heparinised capillary tube without squeezing the thumb, until each was 75%
full (USAID, 1997).
17
Afterwards, 0.5 ml of blood was collected from the antecubital vein of the
preferred arm with a sterile 2 ml syringe. The blood was transferred
immediately into 2 other plain heparinised capillary tubes. Each capillary
tube containing blood sample was sealed at the inferior end with an
appropriately coloured clay sealant (red for venous blood and blue for
capillary blood), and centrifuged for 5 minutes using micro-haematocrit
centrifuge. The PCV for each capillary tube was read immediately after
centrifuging, with a micro-haematocrit reader. The mean value for each
category (capillary or venous) was recorded on a data sheet designed for the
study. The result of the venous PCV for each study participant was issued to
her on the same day and those whose results indicated anaemia were
promptly referred to their attending obstetricians
Participants’ socio-demographic characteristics such as age, educational
status, marital status and parity were sought for using semi-structured
questionnaires. All data collected from the study were keyed into the
Statistical Package for Social Sciences (SPSS) computer software version
15.0 for windows. Data analyses were both descriptive and inferential
statistics at 95% confidence level. Association were compared using
Wilcoxon Signed-Ranks Test and Spearman’s Correlation Coefficient for
continuous data, cross-tabulation and Multinomial Logistic Regression for
categorical data. Results were presented using simple percentages, tables,
18
and charts as appropriate. Association between variable were shown using p-
values, odd ratios and confidence intervals.
3.10 Quality control measures
The following measures were carried out to ensure quality control for the
study.
a. There was a clear and written study guidelines consisting of eligibility /
exclusion criteria, and study protocol for PCV estimation as well as the
recording of patients data
b. The three study assistants (2 medical interns and a resident doctor) were
trained on the study guidelines by a laboratory scientist working at the
study center.
c. The efficiency of centrifugation of the centrifuge after five minutes was
certified before the commencement of the study and weekly afterwards.
d. PCV values were read and confirmed by two assistance before recording
e. Other quality control measures were as described within the data
collection section.
3.11 Primary outcome measure
The difference between the mean venous and capillary PCV of healthy
pregnant women in Enugu, South-eastern Nigeria
3.12 Secondary outcome measures
The prevalence of anaemia in pregnancy and its variation with the source of
the blood sample.
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CHAPTER FOUR : RESULTS
4.1 Socio-demographic characteristics
Two hundred healthy pregnant women participated in the study – each
woman served as her own control. The mean age of participants was 30.1 ±
5.05 years (range = 19 – 45). Their modal age group was 31 – 35 years
(38.0%). Only 2 participants were single while the others (99.0%) were
married. Ten (5.0%) women had primary education, 42 (21.0%) secondary
education, while 148 (74%) women had tertiary education. All participants
were Christians of varying denominations. The median parity was 1, with a
mean of 1.3 ± 1.51 (range = 0 – 6). Eighty eight women (44.0%) were
nullipara, 44 (22.0%) primipara, 60 (30.0%) multipara, and 8 (4.0%) were
grandmultipara. A majority (59.0%) of the woman had gestational ages of 28
weeks or more. Further details of participants’ characteristics are shown in
tables 1.
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Table 1: Distribution of participants’ characteristics
Maternal characteristic
(n = 200)Sub-category Frequency (%)
Age groups (years)
16 – 20 5 (2.5)
21 – 25 33 (16.5)
26 – 30 65 (32.5)
31 – 35 76 (38.0)
36 – 40 12 (6.0)
41 – 45 9 (4.5)
Christian denomination
Roman catholic 79 (39.5)
Anglican 39 (19.5)
Methodist 8 (4.0)
Pentecostal 73 (36.5)
Jehovah witness 1 (0.5)
Tribe
Igbo 191 (95.5)
Yoruba 2 (1.0)
Hausa 0 (0.0)
Others 7 (3.5)
Gestational age groups
(weeks)
< 28 82 (41.0)
≥ 28 118 (59.0)
Body weight groups (kg)< 90 27 (13.5)
≥ 90 173 (86.5)
21
4.2 Capillary and venous packed cell volume
The mean value for the capillary PCV (cPCV) of participants was 33.5 ±
3.57% while that of venous PVC (vPCV) was 34. 3 ± 3.74%. This translated
to a 2.3% reduction of the capillary PVC from the control (venous) value.
The ranges of the cPCV and vPCV were 20 – 44 % and 21 – 44 %
respectively. Out of the 200 PCV pairs, cPCV were higher than vPCV in 18
(9.0%) women, equal in 68 (34.0%) women, but less than vPCV in 114
(57%) women. As shown in figure 3, the cPCV values of participants had
strong positive correlation with their venous values (r = 0.883, P < 0.001).
The difference between cPCV and vPCV pairs ranges from -5% to +5%, and
the mean was -0.83 ±1.54. The observed difference between the cPCV and
vPVC values of participants was statistically significant (P < 0.001).
22
23
25 30 35 40
Venous PCV (%)
20
25
30
35
40
Cap
illar
y PC
V (%
)
Figure 3: Scatter diagram of cPCV versus vPCV
4.3 Anaemia in pregnancy and its variation with source of blood
Sixty seven (33.5%) and 56 (28.0%) women were anaemic (PCV < 33%)
using the capillary or venous blood respectively. This difference of 5.5%
translated to a 19.6% increase in the prevalence of anaemia in pregnancy
derived from cPCV values when compared with that of vPCV. However, this
observed difference in the prevalence of anaemia between the two sources of
blood was not statistically significant [O.R = 1.3 (CI 95%: 0.85, 1.98) P =
0.233] – details in table 2. When controlled for the effect of lower
gestational age (<28 weeks), the odds of identifying anaemia in pregnancy
using capillary blood remained unchanged when compared to venous blood
[O.R = 1.3 (CI 95%: 0.85, 1.99) P = 0.231]
To further study the effect of lower gestational age (GA) on the prevalence
of anaemia, participants were stratified into two gestational age categories
using 28 weeks as cut off. Results of sub-analysis within these GA
categories are shown in tables 2 and 3. Thus, for women at GA of less than
28 weeks, the prevalence of anaemia increased by 6.7% for cPCV, and 4.9%
for vPCV). On the other hand, for women at GA of 28 weeks or greater, the
prevalence of anaemia reduced by 4.7% for cPCV and 3.4 for vPCV (table
3). However, within each GA category, the prevalence of anaemia had no
association with the source of the blood (P > 0.05) (table 3).
24
Table 2: Prevalence of anaemia and gestional age groups
GA category (weeks)
Source of blood
Anaemia in pregnancy P value O.R (CI: 95%)
Yes (%) No (%)
All GA
Capillary 67 (33.5) 133 (66.5) 0.233 1.3 (0.85, 1.98)
Venous 56 (28.0) 144 (72.0) -
< 28 Capillary 33 (40.2) 49 (59.8) 0.331 1.4 (0.73, 2.60)
Venous 27 (32.9) 55 (67.1) -
>= 28 Capillary 34 (28.8) 84 (71.2) 0.462 1.2 (0.70, 2.22)
Venous 29 (24.6) 89 (75.4) -
25
Source of
blood
Prevalence of anaemia (%) Difference in
prevalence
(%)
Mean
difference
(%)All GA < 28 weeks
Capillary 33.5 40.2 +6.75.8
Venous 28.0 32.9 +4.9
All GA ≥ 28 weeks
Capillary 33.5 28.8 -4.7-4.1
Venous 28.0 24.6 -3.4
Table 3: Anaemia in pregnancy and sources of blood sample
26
4.4 Arm preference for blood sample collection
In response to the structured question thus: which of your arms do you prefer
for blood collection? A majority (47.5%) of participants did not express any
specific arm preference (i.e. tolerated either arm equally), while 69 (34.5%)
women preferred the left arm. Details of the distribution of participants’ arm
preference are shown in figure 4.
Out of the 105 participants who preferred either the right or left arm, a
majority (61.9%) had no reason, 29 (27.6%) did not want the pain following
the sample collection to affect the use of their dominant arms, and the
remaining 11 (10.5%) women felt that access to blood vessels was easier on
their preferred arm. Details of the participants’ responses in relation to their
arm preferences are shown in table 4.
27
36; 18%
69; 35%
95; 48% Right armLeft armEither arm
Figure 4: Participants arm preference for blood sample collection
28
Table 4: Participants' arm preferences and reasons
ReasonArm preference
Total (%)Right arm (%) Left arm (%)
No reason 26 (40.0) 39 (60.0) 65 (100.0)
Avoid effect of after pains 6 (20.7) 23 (79.3) 29 (100.0)
Easy blood vessel access 4 (36.4) 7 (63.6) 11 (100.0)
Total 36 (34.3) 69 (65.7) 105 (100.0)
29
CHAPTER FIVE: DISCUSSION AND CONCLUSION
5.1 Discussion
This study showed that over 40% of pregnant women in the study area
belong to the 26 – 35 year age group which is not surprising since the
average age at first pregnancy at the study center is 26.2 years (Nwagha et
al., 2008). Also, the distribution of marital status of participants was
consistent with previous report (Onah et al, 2009). Furthermore, a high
proportion of study participants had tertiary education which may suggest
that women with higher education seek antenatal care at the study center;
this finding has also been observed in earlier studies (Onah et al, 2009; Dim
et al, 2011). This assumption may be correct because higher education is
expected to drive quality health seeking behaviour.
This study found that the cPCV was significantly lower than vPCV by about
1% which conforms to the report that red cell volume in capillary blood is
1% – 3% lower than venous blood (USAID, 1997). It is however, not
consistent with studies among non-pregnant adults in Norway and China
which reported higher cPCV when compared to vPCV (Daae et al., 1998;
Yang et al., 2001). The small sample sizes used by both studies were likely
to have affected their precision and validity. Unfortunately, an extensive
literature search did not identify any related studies among pregnant women
with which to compare the results of this study. The reasons for the reduced
capillary red cell volume in this study were likely due to the inherent
30
mechanisms within the human microvasculature which impacts on the
dynamics of blood flow – one of the implicated mechanisms is the
“screening effect” which implies the prevention of RBC entry into the small
capillary due to insufficient deformation (Perkkio and Keskinen, 1983).
Other mechanisms include the uneven distribution of RBCs to daughter
branches at microvascular bifurcations (plasma skimming), the axial
accumulation of erythrocytes in the small blood vessels, and the difference in
travelling speed between cells and plasma in the microcirculation (Fahraeus
effect) (Baskurt et al., 2006; Carr and Wickham, 1991; Gaehtgens, 1981).
These mechanisms are affected by vascular smooth muscle activity
(Gaehtgens, 1984). Therefore, since normal pregnancy is associated with
reduction in vascular resistance, it is likely that the magnitude of the cPCV
and vPCV disparity observed in this study will differ from that of non-
pregnant population. There is need for further studies in that area.
In this study, the maximum variability between capillary and venous PCV
pairs was 5%. This magnitude of variability can impact on patients’
management especially as regards the decision to transfuse blood or blood
products. It is therefore suggested that clinical units should define the blood
source that should be used for their patients’ management so as to ensure
consistent and reproducible results. Where such guideline does not exist,
serial PCV monitoring in patients such as during antenatal care, should
employ a consistent blood source for the same reason.
31
Furthermore, the study showed a disparity between the prevalence of
anaemia recorded by the cPCV and vPCV. Though the observed difference
was not statistically significant, it was appreciable. In view of this possible
magnitude of variability, comparison of results of studies on anaemia in
pregnancy should pay attention to the sources of blood samples. It is
interesting to note that the prevalence of anaemia (all sources) increased
among women at GA of less than 28 weeks but reduced among those in 3rd
trimester (≥ 28 weeks). This observation may be due to the effect of
physiological anaemia of pregnancy which is known to be pronounced in 2nd
trimester (Koos and Moore, 2003).
Also, with respect to the prevalence of anemia in pregnancy, the difference
between the values got from cPCV and vpCV was appreciably higher for
women less than 28 weeks of GA when compared with women in 3 rd
trimester. The reason for this obvious disparity is not clear but, it may still be
related to the varying peripheral vascular resistance which falls in early
pregnancy but increases slowly in 3rd trimester until term (Silverside and
Colman, n.d.).
For varying reasons, over half of the study participants preferred one of
either left or right arm for blood sample collection. This is interesting
because it has been observed that most health providers and phlebotomist in
our environment decide on the patient’s arm to be used for blood sample
collection without recourse to the patient’s arm preference. This study
32
findings calls for more patients respect, and exposes the need for training
and retraining of health staff in act of blood sample collection.
The study was limited by its base in one hospital which might affect its
generalization to all pregnant women in Enugu, Nigeria. Also, the
participants’ educational status which was majorly tertiary education might
suggest an inherent selection bias. If higher education is assumed to be
associated with improved nutrition then, it is likely that the average PCV (all
sources) found in this study may be higher than that of the general
population of pregnant women in the study area. However, this might not be
the case in this study because all participants were on haematinics.
Furthermore, the rigorous quality control measures observed during the
study ensured its internal validity. On the other hand, the strength of the
study lies in the fact that it is the first reported effort in Nigeria to
demonstrate the disparity between capillary and venous PCV, irrespective of
the study population. It also highlights the need for care givers to be
conscious of the source of blood used in the determination of PCV for
pregnant women.
33
5.2 Conclusion
This study has found that PCV from capillary blood is significantly lower
than that of venous blood. It also noted that the prevalence of anaemia in
pregnancy derived from cPCV is higher than that of vPCV by 5.5%.
Therefore, maternity units should use venous blood for PCV estimation or at
the least be consistent with any chosen source of blood for PCV estimation.
5.3 Recommendations
- Considering the obvious disparity between the values of cPCV and
vPCV in pregnancy, maternity units should encourage their laboratories
to use venous blood for PCV estimation. In situations where capillary
blood is used, it should be specified to guide the care giver.
- In centers where either cPCV or vPCV is used interchangeably, a source
of blood should be used consistently per patient during serial monitoring
to ensure comparability of results. Also, in cases where moderate to
severe anaemia is suspected clinically, vPCV should be used as a matter
of policy because it gives more accurate result (USAID, 1997).
- It is important that phlebotomist and caregivers enquire about, and
respect the arm preference of pregnant women during blood sample
collection for any investigation.
34
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38
APPENDIX 1: Study profoma
Serial number ______
1. Age in years (as at last birthday) __________
2. Marital status □1Single □2Married □3Widowed □4divorced
3. Religion __________________/ Denomination_____________________
4. Tribe ________________
5. What is your highest level of education _______________________
6. Which number of pregnancy is the current one (gestation) __________________
7. How many time have you delivered - dead or alive (parity) ________________
8. What your LMP ___________ Gestational age (weeks) __________
9. Which of your arms do you prefer for blood collection?
□1Right □2Left □3either
why? __________________________________________
Height (meters) ________ Weight (Kg) _______ BMI (Kg/m2) _________
Capillary PVC (%) 1 ___________ 2 ___________ Average __________
Venous PCV (%) 1 _____________ 2 ____________Average __________
39