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A MATCHED CASE CONTROL STUDY OF THE NUTRITIONAL STATUS OF
NEWLY DIAGNOSED TUBERCULOSIS PATIENTS AND TUBERCULOSIS
FREE CONTACTS IN DELFT, WESTERN CAPE
Candice Clarissa Lombardo
A mini-thesis in partial fulfilment of the requirements for the degree of Magister
Scientiae in the Faculty of Community and Health Sciences, University of the Western
Cape
SUPERVISORS: Professor Rina Swart
Ms Marianne Visser
February 2011
KEYWORDS: Tuberculosis, tuberculosis free contact, malnutrition, C-reactive protein,
micronutrients, acute phase response
ABSTRACT
Background: Malnutrition is a risk factor for the development of pulmonary tuberculosis (TB)
and may be responsible for the premature deaths of patients with active disease. An adequate
nutritional status may therefore be protective in delaying the onset from latent infection to active
disease. In South Africa, very little data is available on the nutritional status of adults who
present with tuberculosis. This study therefore aims to compare the nutritional status of newly
diagnosed pulmonary tuberculosis patients with TB-free controls.
Study population & Design: This is a community based case-control study. Forty-three newly
diagnosed pulmonary tuberculosis patients were recruited as cases and matched according to age,
gender and race to 43 TB-free close contacts. HIV positive subjects were excluded from the
study.
Methods: Each participant was interviewed and completed a structured questionnaire to obtain
demographic information. Weight was measured to the nearest 0.1kg and height to the nearest
1mm. A 24-hr dietary recall method was used to obtain dietary information. Biochemical
analysis was carried out to measure concentrations of transferrin, albumin, CRP, ferritin, zinc,
copper, vitamin A and E.
Results: The median Body Mass Index (BMI) for cases was 18.80kg/m² (IQR 14.35, 32.11) and
TB-free contacts 21.17 kg/m² (IQR 16.75, 34.98) with a significant difference between the
groups of p=0.001. There was significant difference in weight (p=0.002) and MUAC (p=0.000)
between groups. No significant difference in dietary intake of energy (KJ) (p=0.695), protein
(p=0.804), CHO (p=0.801) and fat ( p=0.796) was found between groups. There was a
statistically significant increase in ferritin (p=0.000) and C-reactive protein (CRP) (p=0.000) in
TB patients, while albumin (p=0.000), serum zinc (p=0.000) and serum vitamin A (p=0.000)
were statistically significantly lower among cases.
Conclusion: There was no significant difference in the macronutrient intake of TB cases
and TB-free contacts, although a significant difference was seen in BMI, MUAC and
weight between groups, with all these parameters being lower in TB patients. Ferritin and
CRP levels were markedly increased in TB cases while serum zinc, vitamin A and
albumin are all significantly lower in TB patients than TB free contacts.
CONTENT PAGE Page Number
CHAPTER 1: BACKGROUND AND INTRODUCTION
1.1 INTRODUCTION 1
1.2 PURPOSE / RATIONALE 2
1.3 AIM 2
1.4 OBJECTIVES 2
CHAPTER 2: LITERATURE REVIEW
2.1 TUBERCULOSIS 3
2.2 MALNUTRITION AND TUBERCULOSIS 3 – 5
2.3 MICRONUTRIENTS AND TUBERCULOSIS 5-10
2.3.1 Vitamin A 6-7
2.3.2 Zinc 7-8
2.3.3 Vitamin E 9
2.3.4 Copper 9-10
CHAPTER 3: METHODOLOGY
3.1 Study design 11
3.2 Study Population 11
3.3 Selection of subjects 11-13
3.4 Sample size 13
3.5 Data collection
3.5.1 Socio-demographic data 13
3.5.2 Dietary and anthropometric data 13-14
3.5.3 Blood Sampling 14
3.5.4 Sputum samples 14-15
3.6 Statistical Analysis 15
3.7 Validity and reliability 15
3.8 Ethics and Institutional approval 15-16
CHAPTER 4: RESULTS
4.1 Participant characteristics 17
4.2 Demographic information 17 – 19
4.3 Dietary intake 19 - 20
4.4 Anthropometric status 20
4.5 Serum micronutrient levels 20-21
4.6 Biochemical measurements 21-23
4.7 Summary 23
CHAPTER 5: DISCUSSION
5.1 Overview 24
5.2 Nutrient intake 24
5.3 Nutritional status 24-25
5.4 Role of the Acute phase response 25-26
5.5 Vitamin A 26-27
5.6 Zinc 27-28
5.7 Copper, vitamin E and transferrin 28-29
CHAPTER 6:
6.1 Conclusions 30
6.2 Limitations & recommendations 30
BIBLIOGRAPHY 31-36
APPENDIX 1: Structured questionnaire 37-55
APPENDIX 2: Informed consent form 56-58
APPENDIX 3: Information Sheet 59-63
DECLARATION
I declare that the Matched case control study of the nutritional status of newly diagnosed
tuberculosis patients and tuberculosis free contacts in Delft, Western Cape is my own
work, that it has not been submitted for any degree or examination in any other
university, and that all the sources I have used or quoted have been indicated and
acknowledged by complete references.
Candice Clarissa Lombardo
February 2011
Signed: ____________________________
ACKNOWLEDGEMENTS
I would like to thank the following people for their guidance, advice and input during the
process of writing up this min-thesis:
Professor Rina Swart
Ms Marianne Visser
The Delft Community Health Centre staff who assisted me in recruiting and
gathering data
Ms Ronel Stuurman
Sr. A Sampson
Rosemary Cassels
Angela Menezes
DEFINITION OF TERMS
Albumin: It is a plasma protein synthesized in the liver and
plays a role in maintaining oncotic pressure. It
decreases in periods of stress / inflammation
(Litchford, 2008).
Anthropometry: Is the measurement of body size, weight and its proportions
and include measuring weight, height, and mid-upper arm
circumference as well as skinfolds measurements to
determine body fat percentage (Lee & Nieman, 2000)
C-reactive protein: It is an acute phase protein which rises rapidly in
response to acute inflammation and is useful in
detecting acute infection (Mayne, 1994)
Ferritin: An iron-apoferritin complex that is a major storage form of
iron in the liver and other tissues. Levels may increase
during inflammation (Stopler, 2008)
Malnutrition: The term malnutrition is classified based on body weight,
body fat, protein stores and laboratory values. It refers to
under-nutrition caused by inadequate intake, ingestion and
absorption related to infection and illness (Mahan & Escott-
Stump, 2008)
Micronutrient malnutrition: Refers to the clinical deficiency of micronutrients due to
inadequate intake, digestion and absorption which is related
to infection and illness.
Pulmonary tuberculosis: Is an airborne infectious disease caused by Mycobacterium
tuberculosis which thrives in oxygen and blood rich areas
such as the apices of the lungs (Mueller, 2008)
Tuberculosis free contact: Refers to an individual who does not present with active
pulmonary tuberculosis but who is in contact as a friend,
family member or neighbour of someone who presents with
active disease.
LIST OF FIGURES page no.
Figure 1: Graphical presentation of serum micronutrients 21
Figure 2: Graphical presentation of transferrin and albumin levels 22
Figure 3: Graphical presentation of CRP and ferritin levels 23
LIST OF TABLES page no.
Table 1: Dietary sources of vitamin A 6
Table 2: Dietary sources of Zinc 8
Table 3: Dietary sources of vitamin E 9
Table 4: Dietary sources of copper 9-10
Table 5: Demographic information 18-19
Table 6: Dietary intakes including energy, carbohydrate, protein, fat, vitamin A &
zinc 20
Table 7: Anthropometric measurements including weight, BMI, MUAC & % body
Fat 20
Table 8: Serum micronutrient levels of zinc, copper, vitamin A and E 21
Table 9: Biochemical measurements including transferrin, albumin, CRP &
Ferritin 22
1
CHAPTER 1: BACKGROUND AND INTRODUCTION
1.1 INTRODUCTION
Tuberculosis (TB) is an infectious disease caused by the Mycobaterium tuberculosis and
pulmonary tuberculosis is the most common form in adults. According to the World
Health Organization(WHO) report on global TB control, 9.4 million new cases of TB
were reported in 2008. Although there is a slight decrease of <1% per year in incident
rates, tuberculosis remains a major public health problem in most developing countries.
In 2008, South Africa was ranked 3rd in the world in terms of total numbers of cases
(WHO, 2009).
In 2008, the Western Cape diagnosed 50 000 new TB cases which is an incidence rate of
892 per 100000. Tuberculosis therefore remains a major public health concern, especially
in developing countries (Western Cape, Department of Health, 2010). Malnutrition has
long been associated with tuberculosis and may play a role in the development of the
disease or vice versa (Gupta et al, 2009). Kennedy et al (1996) conducted a cross-
sectional study in Tanzania amongst tuberculosis patients and reported that malnutrition
was evident before and after tuberculosis treatment. In a similar study conducted in
Malawi, patients who presented with pulmonary tuberculosis and with a body mass index
(BMI) < 17kg/m² had an increased risk of early death (Zachariah et al, 2002).
The nutritional data for both healthy South African adults and those infected with
tuberculosis is limited. A recent national survey of women aged 19-35 indicated a 20%
prevalence of iron deficiency and 25% prevalence of vitamin A deficiency (Labadarios
ed. 2007). No data on the micronutrient status of men is available apart from a small
localized study in 1990 indicating at least 16% iron deficiency (Vorster et al, 1997). No
information on the zinc status of adult South Africans is currently available.
2
1.2 PURPOSE / RATIONALE
Since the data available in South Africa is limited regarding the nutritional status of
tuberculosis patients is limited, this study aims to investigate the nutritional status of TB
patients in comparison to tuberculosis free controls. This may be of importance when
developing intervention strategies to overcome the detrimental effects of the disease,
especially since the goal of the World Health Organization (WHO) is to reduce TB
prevalence and death by 50% by 2015 (WHO, 2010).
1.3 AIM
This study therefore aims to investigate the nutritional status of newly diagnosed, HIV
negative tuberculosis patients (aged 18-65) in comparison with tuberculosis free contacts
matched for age, race and gender in Delft in the Western Cape.
1.4 OBJECTIVES
The objectives of this study were to measure and compare the following indicators of
nutritional status in both cases and controls:
Anthropometrical status including BMI, arm muscle area and percentage body fat
Serum levels of micronutrients most commonly linked to immunity i.e. retinol
and zinc
Serum levels of micronutrients that are affected by acute infections and which
might impact on the levels of vitamin A and zinc i.e. copper
Dietary intake of macronutrients and micronutrients
3
CHAPTER 2: LITERATURE REVIEW
2.1 TUBERCULOSIS
Pulmonary tuberculosis is caused by the Mycobacterium tuberculosis which
usually affects the apices of the lungs. It is currently estimated that 1/3 of the
worlds population is latently infected with the bacillus (Flynn & Chan, 2001;
Mueller, 2008). Infection with the bacillus does not necessarily lead to active
disease as the immune response of most individuals can successfully contain but
not eliminate the disease. A decline in the immune response caused by HIV,
aging, alcohol or drug abuse and poor nutritional status may lead to active
infection (Flynn & Chan, 2001). Cytokines, including tumor necrosis factor,
interleukin- 4 and interleukin- 1β, are responsible for the high fever, weight loss
and acute phase response seen in patients with active TB and may lead to
malnutrition and nutrient deficiencies (Karayadi et al, 2007). Alternatively,
malnutrition, including micronutrient deficiencies may affect immunity leading to
increased susceptibly of active infection.
2.2 MALNUTRITION AND TUBERCULOSIS (TB)
Malnutrition may predispose individuals who have latent infection to active disease as
malnutrition affects cell-mediated immunity which decreases the body’s defence to TB
and increases the risk of infection (Cegielski & McMurray, 2004). For this reason
malnutrition and tuberculosis have a long history of being associated with each other
(Gupta et al, 2009). Numerous studies have detailed the poor nutritional status of
tuberculosis cases in terms of body mass index (BMI), mid-upper arm circumference, as
well as skinfold thickness measurements in patients who present with TB. A cross-
sectional study conducted by Kennedy et al (1996) used BMI to assess the nutritional
status of 148 patients who presented with active TB in Tanzania. They found that
malnutrition was evident before (77% males and 58% females had BMI <18.5kg/m²) and
after (32% males and 19% females had BMI <18.5kg/m²) treatment for tuberculosis.
Patients co-infected with HIV had an even lower BMI than those without. Malnutrition
seen in these patients may therefore have been attributable to HIV and not TB alone. The
4
patients who had a more favourable nutritional status after treatment had a longer stay in
hospital and therefore increased access to nutritional supplementation and this may have
caused a bias in their results. Zachariah et al (2002), conducted a similar study in Malawi
where they looked at the prevalence of malnutrition on admission (57% of participants
had a BMI<18.5kg/m² on admission) and if there were any associations between
malnutrition and early death. One thousand one hundred and eighteen subjects were
included in the study and they found that patients who had a lower BMI had an increased
risk of early death (10.9% of 414 patients who had moderate to severe malnutrition died
within the first four weeks). A large percentage of these cases however also presented
with HIV which increases the risk of premature death and the authors therefore cannot
conclusively state that TB alone can be the cause of premature death in malnourished
individuals. While Zachariah et al (2002) noted that low BMI is a risk factor for early
death in tuberculosis cases, many confounding factors that may affect validity such as
side-effects of medication, CD4 cell count and staging of HIV, were not controlled for in
this study.
In 2005, Metcalfe conducted a case-control study on malnutrition and tuberculosis
in Sri Lanka. He found that cases had a lower nutritional status (BMI and MUAC)
than controls and this was not gender specific. He found that cases had a
significantly lower BMI (16.2kg/m²) and arm circumference (20.7cm) when
compared to controls (24.0 kg/m² and 28.4cm, respectively). The cases and
controls were not matched for age, race or income groups. The control subjects
were all members of the Sri Lankan Air force base, which means that they had
access to money, food and exercise routines that the cases did not have. The
results of this study may therefore not be considered valid due to these
confounding factors. The author does however mention this and states that a
matched case-control study may yield improved results (Metcalfe, 2005). In 2008,
Dodor, conducted an investigation in Ghana to determine the prevalence of
malnutrition among TB patients before and after treatment initiation. A total of
570 newly diagnosed pulmonary tuberculosis patients were included in the study.
He found the mean BMI to be 18.7kg/m² with 51% classified as malnourished
prior to treatment. The mean BMI increased to 19.5kg/m² two months after
5
starting treatment with 40% classified as malnourished. Dodor (2008) suggests
that nutritional supplementation among TB patients in Ghana may be beneficial.
In South Africa, very little data is available regarding the nutritional status of those who
present with tuberculosis. Roberts et al, (2005) conducted a pilot study in the Western
Cape amongst hospitalized tuberculosis patients and found 48% of males and 29% of
females presented with low BMI (<18.5kg/m²). Karyadi et al (2000) conducted a case-
control study in Indonesia where 41 patients were matched for age and gender, and
compared to 41‘healthy’ controls from the same area. They reported that patients had a
significantly lower BMI (18.5kg/m² for males and 17.8kg/m² for females), MUAC (24cm
for males and 22.3cm for females) and skinfold measurements when compared to
controls (BMI 21.9kg/m² for both females and males and MUAC of 28.4cm for males
and 26.6cm for females). It was also noted that patients had varying degrees of
malnutrition and those who were more malnourished had increased deficiency of
micronutrients as well. The reason for the malnutrition evident in patients who present
with tuberculosis can be attributed to the increase in energy expenditure due to acute
phase response, reduced nutrient intake and in severe infections, fatigue and shortness of
breath may make it difficult to prepare and ingest food (Mueller, 2008). Conversely,
malnutrition itself may increase the risk of developing the disease as lung function,
structure and elasticity are all negatively affected thereby increasing the risk of infection
(Mueller, 2008). Most of the studies conducted to determine the micronutrient status
among TB patients were cross-sectional in nature and very few, if any, looked at the
nutritional status of study participants prior to TB infection (longitudinal study). With
such a high prevalence of TB and lack of nutritional guidelines among TB patients, it
may be beneficial to determine if malnutrition precedes disease or if the disease
precipitates malnutrition.
2.3 MICRONUTRIENTS AND TB
Many micronutrients, due to their role in immune response, also play a role in the
development and treatment outcomes of tuberculosis. An inadequate
6
micronutrient status may lead to decreased immunity as micronutrients are
involved in a host of processes that include being free radical scavengers as well
as strengthening epithelial barriers. It is for this reason that a micronutrient
deficiency may increase susceptibility to disease by suppressing immunity
(Maggini et al, 2007). Micronutrients that may play a role in the development and
treatment of tuberculosis are vitamin A, zinc, vitamin E and copper.
2.3.1 Vitamin A
Vitamin A is a fat soluble vitamin which is bound to retinol binding protein for transport
in blood and 70% is stored in the liver. The recommended daily allowance (RDA) for
women is 700ug/day while men require 900ug/day (Gallagher, 2008). Vitamin A plays a
role in strengthening the mucosal epithelial barriers in the eye, respiratory and
gastrointestinal tracts (Maggini, et al, 2007). A deficiency may therefore results in Bitot’s
spots, night blindness, upper respiratory tract infections and diarrhoea, especially in
children (Van Lettow et al, 2003), and an increase of bacterial adherence to epithelial
cells (Gupta et al, 2009). Good dietary sources of vitamin A include carrots, liver,
spinach, sweet potatoes and broccoli (Gallagher, 2008).
Table 1: Dietary sources of vitamin A
Food item and amount Vitamin A (ug)
Fried beef liver 30g 3,042
Baked sweet potato, 1 797
Carrot, 1 cup raw 774
Cooked squash, 1 cup 200
Cooked spinach, 1 cup 368
Cooked broccoli, 1 cup 87
Source: Gallagher (2008)
T- lymphocytes and macrophages are also affected by a deficiency of vitamin A (van
Lettow et al, 2003) which is evident by a decrease in macrophage activity and natural
7
killer cells with an increase in the inflammatory response due to tumour necrosis factor
alpha (TNF-α) (Maggini et al, 2007 & Gupta et al, 2009).
Karayadi et al (2000) conducted a case-control study to compare the vitamin A status of
tuberculosis cases to ‘healthy’ controls. They found that 33% of cases had plasma retinol
concentrations <0.70µmol/L compared to 13% among controls. Mugusi et al (2003)
found that serum vitamin A (measured in µg /dl) was decreased in patients who presented
with pulmonary tuberculosis (15.0ug/dl) and that this deficiency was more severe in
patients co-infected with HIV (13.1 µg /dl). It was also reported however that after 2
months of anti-tuberculosis treatment, plasma vitamin A levels began to increase in HIV
negative patients but remained low in HIV positive group. This may once again be
attributable to the negative effect HIV has on nutritional status. Karayadi et al (2002)
conducted a double blind placebo controlled trial to look at the effects of vitamin A and
zinc supplementation on the treatment response of patients who presented with
pulmonary tuberculosis. They found that patients who were supplemented with vitamin A
had an improved sputum conversion and therefore improved treatment outcome after two
months of anti-tuberculosis therapy. Mathur (2007) however states that while vitamin A
levels are low in patients with active tuberculosis disease, levels return to normal after
treatment without provision of supplementation and the outcome in Karaydi’s results may
be attributable to the co-supplementation of zinc (Karyadi et al, 2002).
2.3.2 Zinc
Zinc is a trace element found in all cells in living tissue. It promotes cell growth and
plays a role in immunity (Walker & Black, 2004). The RDA for zinc is 11mg/day for
males and 8mg/day for females and it is considered an essential nutrient as it cannot be
stored. It therefore needs to supplemented or consumed regularly through food intake
(Gallagher, 2008 & Walker & Black, 2004). Good sources of zinc include oysters, crab,
beef, pork, liver and legumes as well as nuts and beans form plant sources.
8
Table 2: Dietary sources of zinc
Food item and amount Zinc (mg)
Sirloin steak 30g 7.4
Baked beans, with pork, ½ cup 6.93
Lamp chop 30g 5.2
Fried liver 30g 3.1
Cooked black-eyed peas, 1 cup 2.2
Source: Wardlaw, (1999) & Gallagher (2008)
Zinc deficiency has been shown to have an effect on Th1 lymphocyte response by
decreasing phagocytosis of macrophages, decreasing amount of natural killer cells and
decreasing interleukin-2 production (Gallagher, 2008; Maggini et al, 2007; Metz et al,
2007). Mucosal membrane integrity may also be compromised in zinc deficient states
(Maggini et al, 2007). Zinc deficiency may lead to a decrease in plasma retinol because
of impaired retinal binding protein, and therefore supplementation of zinc may improve
vitamin A metabolism (Gupta et al, 2009).
In the randomized controlled trial conducted by Karyadi et al (2002) tuberculosis patients
who received 15mg of supplemental zinc and 1500 retinol equivalents as vitamin A
showed faster sputum conversion after two months of anti-tuberculosis therapy when
compared to the placebo group. Ghulum et al (2009) found similar results in their study
conducted in India, where patients who presented with active tuberculosis showed
improved sputum conversion after two months of therapy when supplemented with zinc.
This may be due to the fact that zinc seems to play a role in the Th1 response, responsible
to promote immunity, suggesting that a zinc deficiency may increase susceptibility to
infection (Metz et al, 2007). They further suggest that zinc supplementation may increase
natural killer cell activity and improve T cell response, thereby producing an appropriate
immune response.
9
2.3.3 Vitamin E
Vitamin E or α-tocopherol is a powerful antioxidant or free radical scavenger. It plays a
role in epithelial tissue maintenance and may prevent vitamin A from being oxidized in
the intestine (Mahann & Escott-Stump, 2004). The recommended daily allowance (RDA)
for vitamin E is 15 mg/day for both males and females.
Table 3: Dietary sources of vitamin E
Food item and amount Vitamin E (mg)
Raisin bran, 1 cup 13.50
Sunflower oil, 1tbsp 5.59
Almonds 30g 7.33
Wheat germ, ¼ cup 5
Peanut butter, 2 tbsp 3
Avocado,1 2.7
Source: Wardlaw, (1999) & Gallagher, (2008)
According to a review conducted by Maggini et al (2007), vitamin E enhances a Th1
response by increasing production of interleukin-2, natural killer cells and phagocytosis
by macrophages thereby increasing immunity. Vitamin E levels have also been shown to
be lower in patients with tuberculosis than healthy controls (Gupta et al, 2009). Hemila &
Kapiro (2008) however, found no association between vitamin E supplementation and
decreased tuberculosis risk. They do however suggest that vitamin E supplementation in
patients who were heavy smokers and have a high vitamin C intake may have increased
risk of developing tuberculosis.
2.3.4 Copper
Copper is an essential trace element found in high concentrations in the liver, brain, heart
and kidneys and is transported in blood bound to albumin (Gallagher, 2008). The RDA
for adults is 0.9mg/day or 900µg/day.
10
Table 4: Dietary sources of copper
Food item Copper (mg)
Fried beef liver 30g 12.4
Oysters, 3 3.63
Brazil nuts, ½ cup 1.2
Brewer’s yeast, 3 tbsp 0.8
Walnuts, ½ cup 0.7
Sunflower seeds, ¼ cup 0.6
Source: Wardlaw, (1999) & Gallagher, (2008)
Due to its function as a component of many enzymatic responses, copper protects against
free radical damage and oxidation as well as promotes synthesis of melanin and
catecholamines (Gallagher, 2008). In a review conducted by Gupta et al (2009) copper
serum levels were said to be significantly higher in patients with tuberculosis while zinc
concentrations were lower. This may be attributed to the increase in copper-binding
ceruloplasmin in the acute phase response which may play a role in immunity (Koyanagi
et al, 2004).
In conclusion, it is evident that malnutrition, including micronutrient deficiencies, may
increase susceptibility to pulmonary TB and vice versa. Therefore, the study aims to
assess the nutritional status of patients who present with active TB in comparison to TB
free contacts.
11
CHAPTER 3: METHODOLOGY
3.1 Study Design
A community-based case control study.
3.2 Study population
The study population included adults between the ages of 18-65 years of age residing in
Delft, a low-socio economic, peri-urban settlement in the Western Cape.
3.3 Selection of subjects
In order to successfully determine the nutritional status of patients who present with TB
for the purposes of this study, all cases and controls were matched for age, race, and
gender and subjects who presented with HIV will be excluded. This was determine the
nutritional status of tuberculosis cases outside of HIV infection.
Cases:
Newly diagnosed tuberculosis patients between the ages of 18-65 years receiving
treatment from the Delft Community Health Centre (CHC) were recruited as cases. Cases
were included when 2 sputum specimens tested positive for acid fast bacilli by smear
microscopy or 1 positive sputum specimen plus chest X-ray that indicates active
tuberculosis. Cases were only included after agreeing to undergo HIV testing and
counselling (HCT) for HIV infection. The study provided HCT counsellors who
conducted pre- and post test counselling with all willing participants. Patients who tested
positive for HIV were referred to the Delft CHC for further testing, counselling and
treatment and excluded for the study.
Exclusion criteria included the following:
Re-treatment patients
Patients with extra pulmonary TB
Patients with multi-drug resistant TB
Elevated alanine transaminase levels (>5 fold increase)
Women who were pregnant or wish to become pregnant
12
Women who had given birth within the last 6 months of study entry
Clinical signs of liver disease, renal failure, congestive heart failure or neoplasm
Use of corticosteroids
Use of supplements containing vitamin A, zinc or iron during previous month
prior to treatment
No consent given for voluntary HIV-test
Subjects who were HIV positive
Controls:
All TB cases recruited were used as a point of contact to recruit controls from other
households (family and neighbours) who were interested in participating in the study. A
sampling frame from the interested households was constructed and included adults
between the ages of 18-65 years who were willing to participate in the study. This
sampling frame was used to select controls who matched cases for age, gender and
population group. A sputum sample was collected from controls to confirm the absence
of active pulmonary tuberculosis. Subjects who had positive sputum samples were
referred to the Delft CHC for counselling and treatment. Controls subjects were only
included if they were willing to undergo VCT for HIV infection. The study provided
VCT counsellors who conducted pre- and post test counselling with all willing
participants. Patients who tested positive for HIV were referred to the Delft CHC for
further testing, counselling and treatment and excluded from the study.
Exclusion criteria included the following:
Subjects who had TB in the past
Elevated alanine transaminase levels (>5 fold increase)
Women who were pregnant or wish to become pregnant
Women who had given birth within the last 6 months of study entry
Clinical signs of liver disease, renal failure, congestive heart failure or neoplasm
Use of corticosteroids
Use of supplements containing vitamin A, zinc or iron during previous month
prior to treatment
13
No consent given for voluntary HIV-test
Subjects who were HIV positive
3.4 Sample size
At a 95% confidence interval and 90% power, it was calculated that a minimum sample
size of 134 subjects (67 cases and 67 controls) would be required using findings by
Labadarious ed. 2000, the prevalence of vitamin A deficiency in TB patients of 62% and
in control adults of 33%. Only 97 subjects who met criteria at the screening interview
were willing to participate in the study. Of the 97 that agreed to participate, 3 had given
birth in last 6 months, 1 presented with active TB, 2 did not complete the study, 5 had
insufficient blood to complete biochemical analysis and the rest had to be excluded due to
case/control pairs where one was HIV positive. Only 86 subjects who met all inclusion
criteria were therefore included in the study (43 cases and 43 controls).
3.5 Data Collection
All cases and controls were interviewed using a structured questionnaire (Appendix 1)
and the following information obtained.
3.5.1 Socio-demographic data
Socio-demographic characteristics were documented for each subject and included type
of housing, housing density, household income, smoking habits etc. All participants were
asked about the potential misuse of alcohol and performance status was assessed by
means of the Karnofsksy performance scale included in the questionnaire (Appendix 1).
3.5.2 Dietary and anthropometric data
Dietary intake of participants was assessed by means of 24-hr recall method by a
dietician or trained dietetic student using a standardized form. Portion sizes were
determined with the use of food models and examples of household measures such as
cups, bowls etc. Anthropometrical measurements were performed by a dietician or
trained dietetic student. Subjects had to remove shies and all heavy clothing, including
14
jackets, jerseys, belts before measurements were recorded. Measurements included body
weight to the nearest 0.1kg (A & D Personal Precision Scale, Tokyo, Japan), height on a
portable stadiometer to the nearest 1mm, mid-upper arm circumference measured to the
nearest 1mm on the left arm using a standardized measuring tape and skinfold thickness
measurements on the left arm to the nearest 0.2mm (Skinfold calliper, Scales, 2000,
Durban, South Africa) and included triceps, biceps, sub-scapular and supra-ileac skinfold
measurements. All values were performed 3 times and the average value calculated. Body
density and percentage body fat were calculated with the use of Durnin and Womersley
equations (Durnin & Womersley 1974). Participants who were found to be underweight,
which was classified as a BMI of < 18.5kg/m², were referred to the dietician at the Delft
CHC for counselling or referral to the Nutrition Supplementation Program (NSP).
Participants who were found to be obese, which is classified as a BMI >30kg/m², were
also referred to the dietician at the Delft CHC for further counselling.
3.5.3 Blood Sampling
Venous blood was drawn aseptically from each case and control by the registered study
nurse. The puncture site was cleaned with trace-element free alcohol to avoid
contamination and infection. One 7ml blood sample, SST serum, was collected to
determine ALT level. The samples were analyzed and stored at 37ºC. One 7ml blood
sample was collected in a trace element free tube, and protected from light and stored at
-70ºC after centrifugation. The following biochemical investigations were performed
using High Pressure Liquid Chromotography (HPLC): serum albumin, retinol, zinc,
copper, ferritin, transferrin receptor and C-reactive protein (CRP). One 4.5ml sample was
collected for the purpose of conducting a full blood count (EDTA whole blood, using
Flow Through Technology by Bayer Advia 120).
3.5.4 Sputum Samples
All cases and controls were required to provide the study nurse with a sputum sample
which was collected and transported to Groote Schuur laboratory for analysis. Sputum
smears were examined by means of flourescent microscopy (Auramine stain). Sputum
samples were cultured on liquid (using automated non-radiometric MGIT 960 TB
15
system) and solid media (Loewenstein-Jensen (LJ) slopes) to confirm presence of
tuberculosis in cases and absence of disease in controls.
3.6 Statistical analysis
All data was cleaned, coded and entered into SPSS version 17.0 for analysis. A one-
sample Kolmogorov-Smirnov test was used to determine if variables were normally
distributed and appropriate parametric and non-parametric statistics applied. Means
(±SD) were used to describe serum micronutrient levels. Medians (Q1,Q3) were used to
describe the nutrient intake and anthropometric status of patients. Independent t-tests
were used to investigate differences between biochemical micronutrient indicators. Mann
Whitney test was used to investigate differences between the characteristics of the
participants such as nutrient intake and anthropometric status. Chi² used to determine
differences in categorical data
3.7 Validity and reliability
Standardized procedures were followed for the collection and handling of all specimens,
as well as biochemical assays. All anthropometric data was collected by a registered
dietician or trained dietetic student using standardized equipment which was calibrated
regularly. CRP is an acute phase protein that increases in the presence of active infection
and may be useful in interpreting various serum micronutrient levels. CRP levels were
therefore analyzed for each participant.
3.8 Ethics and Institutional approval
Ethics approval for this study was obtained from the UWC Research and Ethics
Committee (reference no. 08/8/2). Written informed consent was obtained from all
participants (Appendix 2). An information sheet (Appendix 3) outlining all aspects of the
study made it clear that the subject could terminate participation in the study at any time
without affecting his/her health care in any way. If any medical treatment was required
by a subject during the study period (such as tuberculosis treatment or any other medical
therapy), such therapy was not denied to any subject participating in this study.
16
Confidentiality of all information collected on participating in the study was ensured. All
data entry forms were stored in a locked filing cabinet. The names of participants were
entered into a database containing demographic information; however, access to this
database was restricted to the investigators. All other samples were identifiable by code
only.
Laboratory analysis was performed on all study samples collected. If a participant
indicated that he/she wished to receive the results of his/her
biochemical/dietary/anthropometric analysis, such information was communicated to the
subject as soon as it was available. In the case of biochemical/dietary/anthropometric
findings that would require treatment or counselling, the subject was contacted and
treatment provided and where relevant referral for further medical care made.
17
CHAPTER 4: RESULTS
4.1 Participant characteristics:
The study sample consisted of 86 participants, 43 cases and 43 controls. The
mean age of the sample was 28.21 (± 10.36) and included 40 males and 46
females. Ninety four percent of the study population were coloured while the
remaining six percent were classified as black.
4.2 Demographic information:
Table 5 illustrates the associations between the demographic information of cases
and control subjects. The majority of control subjects had a higher education level
that differed significantly from cases (p=0.032). Smoking habits were similar
between groups, with the majority of subjects smoking daily. Both groups
reported a similar intake of alcohol with 18% of cases and 9% of controls stating
that they misused alcohol. Eighty-six percent of cases and 95% of controls
reported that they live in brick houses. This difference was not statistically
significant. The majority of study subjects had access to drinking water, a flush
toilet, electricity and a refrigerator, with no significant differences between
groups. Fifty-eight percent of cases were unemployed compared to 79% of
controls. This difference was however not statistically significant. There appears
to be a significant difference in the total monthly income (p=0.001) and total
money spent on food per month (p=0.002) was found, but this can be attributed
to the large amount of control subjects who did not know what the total household
monthly income was or how much money was spent on food.
18
Table 5: Demographic information
Categories Case (n=43)
Controls (n=43)
p-value (Chi-square)
Education level None Primary School High school Tertiary
11 (26%) 28 (65%) 3 (7%) 1 (2%)
0
4 (9%) 28 (65%) 11 (26%)
p=0.032
Smoking Daily Occasionally None
27 (63%) 1 (2%)
15 (35%)
31 (72%)
3 (7%) 9 (21%)
p=0.250
Alcohol misuse Yes No
8 (19%) 35 (81%)
4 (9%)
39 (91%)
p=0.213
Type of dwelling Brick Tin Plank Other
37 (86%) 1 (2%) 3 (7%) 2 (5%)
41 (96%)
1 (2%) 1 (2%)
0
p=0.361
Number of people in house 1-4 5-8 >8
17 (40%) 23 (53%) 3 (7%)
22 (51%) 20 (47%)
1 (2%)
p=0.043
Number of bedrooms 1 2 3 4 >4
10 (23%) 16 (37%) 11 (26%) 2 (5%) 4 (9%)
11 (26%) 23 (53%) 7 (17%) 1 (2%) 1 (2%)
p=0.184
Drinking water Own tap Communal tap Borehole
38 (89%) 4 (9%) 1 (2%)
41 (95%)
2 (5%) 0
p=0.411
Type of toilet Flush Pit Bucket
40 (93%) 2 (5%) 1 (2%)
43 (100%)
0 0
p=0.211
Fuel for cooking Electric Gas Paraffin
41 (96%) 1 (2%) 1 (2%)
40 (93%)
3 (7%) 0
p=0.366
19
Refrigerator / freezer Yes No
37 (86%) 6 (14%)
39 (91%)
4 (9%)
p=0.501
Employment status Unemployed Self-employed Wage-earner
25 (58%) 4 (9%)
14 (33%)
34 (79%)
1 (2%) 8 (19%)
p=0.104
Total income per month None R100 – R500 R501 – R 1000 R1001 – R 3001 R3001 – R5000 >R5000 Unknown
3 (7%) 4 (9%)
9 (21%) 19 (44%)
0 0
8 (19%)
2 (5%) 4 (9%)
5 (12%) 13 (30%) 7 (16%) 1 (2%)
11 (26%)
p=0.001
Total money spent on food per month R0 – R100 R101 – R200 R201 – R300 >R300 Unknown
10 (23%) 7 (16%) 11 (26%) 8 (19%) 7 (16%)
6 (14%) 4 (9%)
9 (21%) 7(16%)
17 (40%)
p=0.002
4.3 Dietary intake
The dietary intake of energy, macronutrients, zinc and vitamin A were similar
between groups (table 6). No significant differences between the dietary intake of
energy, protein, CHO, fat, zinc and vitamin A between the case, at the time of
diagnosis and control group were found. The vitamin A intake among both cases
and controls was found to be inadequate (RDA is 700ug which is equivalent to
700RE). The median intake of zinc among cases was inadequate when compared
to RDA (RDA 8 - 11mg). The median intake among cases however fell in the
normal range. Average energy intakes among active, healthy individuals range
between 10 000kj for women and 12000kj for men. The median energy intake
among cases and controls was therefore appears inadequate. Delft is however a
peri-urban community with a high level of unemployment which may affect food
security.
20
Table 6: Dietary intake including energy, carbohydrates (CHO), protein, fat, zinc
and vitamin A
Nutrient Case (n=43) Control (n=43) P=value
(Mann-
Whitney U)
Median Min. Max. IQR Median Min. Max. IQR
Energy (kj) 6434.55 3047.9 16475 4909.58 6773.38 2492.5 21016 4446.4 p=0.675
Protein (g) 53.30 53.30 11.90 44.87 53.15 17.97 170.49 42.64 p=0.799
CHO (g) 206.40 63.26 483.31 158.38 182.36 54.80 858 154.48 p=0.739
Fat (g) 59.39 11.47 212.56 47.15 57.38 14.70 188.52 39.82 p=0.746
Zinc (mg) 7.58 2.13 23.04 8.56 9.60 3.01 34.60 7.05 p=0.096
Vit A/RE 425.74 28.02 7701.7 383.73 433.26 18.36 1975.05 623.88 p=0.746
* IQR = Interquartile range
4.4 Anthropometric status
There was a statistically significant difference in the anthropometric
measurements between cases, at the time of diagnosis and controls (table 7).
Weight, BMI and MUAC were all significantly lower in the case group. The
median BMI and MUAC among cases are on the lower end of normal, indicating
suboptimal nutritional status.
Table 7: Anthropometric measurements including Weight, BMI, MUAC and
%body fat
Measurement Case Control P=value
(Mann-
Whitney U)
Median Min. Max. IQR Median Min. Max. IQR
Weight (kg) 49.63 37.38 76.25 11.18 58.20 40.25 84.05 16.02 p=0.002
BMI (kg/m²) 18.80 14.35 32.11 2.41 21.17 16.75 34.98 5.81 p=0.001
MUAC (cm) 23.45 18.4 31.6 2.8 26.00 20.9 34.6 4.2 p=0.000
% body fat 14.90 3.7 35.9 16.9 14.10 4.8 37.5 21.0 p=0.645
4.5 Serum micronutrient levels
The mean zinc status of cases fell just below the lower end of the normal range
(60-110 µg/dl). Serum concentrations of vitamin A among cases were
considerably lower than the reference range (30-85 µg/dl) while the levels vitamin
E an
The
all in
Tabl
and
Measuremen
Zinc (µg/dl)
Copper (µg/dl
Vitamin A (µ
Vitamin E (m
Ther
case
diffe
Figu
and
1
1
2
nd copper w
mean serum
n the norma
le 8: Serum
vitamin E
nt
Mea
59.49
l) 173.3
g/dl) 23.55
mg/l) 9.924
re was statis
es while seru
erence betw
ure 1: Graph
controls
0
50
100
150
200
Zinc (p
were in the n
m concentra
al ranges (ta
m micronutrie
C
n (SD)
9 (±10.96)
35(±36.50)
5(±10.08)
4(±3.32)
stically sign
um copper a
ween groups.
hical represe
p=0.000)(
normal range
ations of mic
able 8; figure
ent concentr
Case
CI
56.03 – 62
161.83 – 1
20.37 – 26
8.87 – 10.9
nificant decr
and vitamin
.
entation of s
Copper(p=0.351)
e (5-18mg/l
cronutrients
e 1).
rations inclu
M
.90 77
84.87 16
.73 38
97 9.
rease in seru
E showed n
serum micro
Vit A(p=0.000)
and 70-170
s among the
uding zinc,
Mean (SD)
7.03 (±14.88)
66.61(±28.30)
8.88(±10.93)
69 (±4.92)
um vitamin
no statistica
onutrient co
Vit E(p=0.86
0 µg/dl respe
control gro
copper, vita
Control
CI
72.39 –
157.79
35.47 –
8.16 -1
A and Zinc
ally significa
oncentration
E60)
Case
Control
ectively).
oup were
amin A
– 81.66
9 – 175.43
– 42.28
11.23
levels in
ant
ns in cases
21
P=value
(Independent
t-test)
p=0.000
p=0.351
p=0.000
p=0.860
4.6 B
The
rang
grou
rema
Tabl
Measuremen
Transferrin (n
Albumin (g/l)
CRP (mg/l)
Ferritin (ng/l)
A st
foun
Figu
cont
A st
foun
0
1
2
3
4
5
Biochemica
mean album
ge (35-50g/d
up, indicatin
ained within
le 9: Bioche
nt
Mea
ng/ml) 6.73
) 37.65
49.13
) 214.1
tatistically s
nd, with no d
ure 2: Graph
trols
tatistically s
nd among th
0
0
0
0
0
0
Trans(p=0
al measurem
min concent
dl). CRP and
ng the presen
n reference
emical meas
C
n (SD)
(±2.13)
5 (±4.55)
3 (±33.14)
18 (±155.72)
ignificant d
difference s
hical represe
ignificant h
he case grou
sferrin.062)
ments
tration amon
d ferritin lev
nce of inflam
ranges, with
surements o
Case
CI
6.08 – 7.39
36.24 – 39
38.93 – 59
166.26 – 2
difference in
seen in trans
entation of t
higher conce
up compared
Albumin(p=0.000)
ng cases wa
vels were m
mmation. T
h a similar c
of transferrin
M
9 5.
.05 43
.33 2.
62.11 57
n albumin co
sferrin conc
transferrin a
entration of
d to controls
as on the low
markedly inc
Transferrin r
concentratio
n, albumin,
Mean (SD)
85 (±2.21)
3.70 (±2.51)
82 (±2.23)
7.28 (±38.72)
oncentration
entrations.
and albumin
CRP and fe
s (table 8; fi
Case
Control
wer end of th
creased in th
receptor leve
on between g
CRP and fe
Control
CI
5.17 –
42.93 –
2.13 –
45.36 –
ns across gro
n in cases an
erritin levels
igure 3).
he normal
he same
els
groups.
erritin
6.53
– 44.48
3.51
– 69.20
oups was
nd
s was
22
P=value
(Independent
t-test)
p=0.062
p=0.000
p=0.000
p=0.000
Figu
4.7 S
No s
zinc
diffe
and
albu
22
ure 3: Graph
Summary
significant d
c between TB
erence is see
CRP levels
umin were a
050
100150200250
CRP
hical represe
difference in
B cases and
en in BMI, M
were mark
all significan
(p=0.000)
entation of C
n the dietary
d TB-free co
MUAC and
edly increas
ntly decreas
) Ferrit(p=0.0
CRP and fer
y intake of m
ontrols was
d weight bet
sed in TB ca
ed within th
tin000)
rritin in case
macronutrie
seen, althou
tween the tw
ases while z
he same grou
Ca
Co
es and contr
nts, vitamin
ugh a signifi
wo groups. F
zinc, vitamin
up.
se
ontrol
rols
n A and
icant
Ferritin
n A and
23
24
CHAPTER 5: DISCUSSION
5.1 Overview
The above results demonstrate a significant degree of malnutrition amongst TB
cases which was evident by the lower weight, BMI and MUAC. Micronutrient
malnutrition was also evident among the case group with a significantly lower
serum vitamin A and zinc.
The demographic information reflected in Table 5 indicated no significant
differences in living conditions between groups and therefore confounding factors
such as housing type, number of people in house, money spent on food etc., that
may have affected results, was reduced. The two groups were however not
comparable in terms of education level and housing density with controls being
better off on both indicators. There appeared to be no significant differences in the
nutrient intake of cases and controls.
5.2 Nutrient intake
Table 6 presents the nutrient intakes of cases and controls. Nosignificant
difference between groups were found. The 24hr recall method, however, may not
present an accurate measure of intake as it only reflects one day and is open to
under- or over-reporting. According to a review conducted by Rankin et al
(2010), the 24hr recall method may be simple to use and applicable across
populations but respondents may have difficulty recalling intakes and portion
sizes which may affect accuracy of results. It would not have been useful to repeat
the 24 hr recall method among cases as symptoms generally improve two weeks
after treatment and appetite may increase. Another aspect affecting nutrient intake
would be the socio-economic status of subjects. They reside in an area that has a
high rate of unemployment which may affect food security.
5.3 Nutritional status
Malnutrition amongst tuberculosis patients has been documented in many studies
(Karyadi et al, 2000; Kennedy et al, 1996; van Lettow et al, 2003; Zachariah et
25
al, 2002) and is once again reflected in the above results. Karayadi et al (2000)
conducted a case-control study to determine the nutritional status of patients in
Indonesia and demonstrated a significant decrease in BMI, skinfolds, and body fat
percentage amongst TB cases. Serum Vitamin A and zinc were also considerably
lower in PTB cases when compared to controls. Zachariah et al (2002) and
Kennedy et al (1996) conducted cross sectional studies to determine prevalence of
malnutrition in patients presenting with TB. Zachariah et al (2002) found a
significant increase risk of death due to malnutrition in TB cases while Kennedy
et al (1996) found significantly lower BMI’s in patients before and after
tuberculosis treatment. Those patients co-infected with HIV had even lower
BMI’s than those who were not. This study demonstrated a significantly lower
BMI, weight and MUAC among cases (Table 7), which are similar to previous
studies conducted in this population.
It has however been suggested that while malnutrition is common in PTB
patients, whether the disease causes malnutrition or malnutrition predisposes to
the disease still needs to be clarified (Cegielski & McMurray, 2003).
5.4 The role of the Acute Phase Response (APR)
Malnutrition as evident by decreased BMI, weight and body fat percentage may
be attributed to the increase in energy expenditure due to acute phase response,
reduced nutrient intake and in severe infections, fatigue and shortness of breath.
This may make it difficult to prepare and ingest food (Winkler & Malone, 2008).
In the initial phase of disease, the APR is responsible for the increase in energy
expenditure in these patients, once on treatment however the APR declines and
nutritional status may improve. The APR is also responsible for the often lower
levels of albumin and increases in ferritin seen in patients with active disease.
Albumin is a negative acute phase protein whose production is reduced in periods
of acute stress, trauma or infection due to the APR. The statistically significantly
lower levels of albumin seen among cases can therefore be attributed to the APR
(table 9; figure 2; figure3). The APR generally also results in increases in C-
reactive protein (CRP) which was evident in this study (Koyanagi et al, 2004;
26
Mathur, 2007). CRP is increased in infectious states and is used to measure
inflammation which may affect ferritin levels. Ferritin levels rise during acute
inflammation and may therefore not be an accurate measure of iron stores (Beard
et al, 2006). The ferritin levels in the case group were significantly higher than
controls and may be attributed to the APR experienced by these subjects.
5.5 Vitamin A
According to table 8 and figure 1, serum vitamin A and zinc concetrations were
statistically significantly lower amongst cases than controls. These results are
similar to numerous studies and reviews conducted to assess micronutrient status
amongst TB patients. Mugusi et al (2003) conducted a cross-sectional study to
determine the vitamin A status of tuberculosis patients, with and without HIV co-
infection. They found that mean serum vitamin A was lower among patients who
had tuberculosis with HIV co-infection than those who only presented with TB.
HIV free tuberculosis patients reported a significant increase in vitamin A status
after 2 months of treatment. Ramachandran et al (2003) conducted a case control
study to assess vitamin A status among tuberculosis patients and found that
tuberculosis patients had a significantly lower vitamin A status when compared to
household contacts and healthy ‘normals’. These authors similarly found that
vitamin A levels return to normal after anti-tuberculosis therapy (ATT) and
supplementation of vitamin A was not necessary. Mathur (2007) similarly found
that vitamin A concentration where low at baseline but improved after ATT
without supplementation. Karyadi et al (2002) however found that
supplementation with vitamin A improved sputum smear conversion after 2
months of ATT. This may however be attributed to the co-supplementation of
zinc.
Serum Vitamin A may also be affected by the APR as albumin is decreased with a
consequent decrease in retinol binding protein which is responsible for transport
of retinol to various tissues (Karyadi et al, 2000; Mugusi et al, 2003). Urinary
losses of vitamin A associated with fever and infection may also be responsible
27
for the low vitamin A levels seen in patients with active disease (Karyadi et al,
2000; Mugusi et al, 2003; Ramachandran et al, 2003).
The case group in this study were newly diagnosed with PTB and not yet on ATT.
They therefore presented with active infection which causes a rise in APR and
CRP, and a subsequent decrease in circulating retinol binding protein (which is
responsible for the transport of vitamin A to various tissues) and an increase in
urinary loss of vitamin A (due to fever).
5.6 Zinc
Serum zinc concentrations were significantly lower amongst cases than controls
which may also have affected the level of vitamin A. Zinc plays an important role
in a host of enzymatic processes including vitamin A metabolism (Christian &
West, 1998; Gupta et al, 2007; Mathur, 2007). A zinc deficiency may cause a
secondary vitamin A deficiency by impairing the production of retinol binding
protein, leading to decrease in vitamin A. Zinc supplementation may therefore
improve vitamin A metabolism, especially among TB patients (Gupta et al, 2007)
and may be responsible for the improved sputum conversion seen in patients after
two months of ATT in Karyadi et al (2002) study in Indonesia. This suggests that
supplementation with vitamin A alone may not confer a benefit.
Zinc deficiency has been shown to have an effect on Th1 lymphocyte response by
decreasing phagocytosis of macrophages, decreasing amount of natural killer cells
and decreasing interleukin-2 production (Gallagher, 2008; Maggini et al, 2007;
Metz et al, 2007) and compromise mucosal membrane integrity (Maggini et al,
2007). In the case-control study conducted by Karyadi et al (2000) in Indonesia,
serum levels of vitamin A and zinc were significantly lower in cases than in
controls which may be attributed to increase in metallothionein, a protein
responsible for transporting zinc to the liver. The increase in metallothionein is
associated with the activation of the APR, which may be the reason for the low
serum zinc levels in this population (Gupta et al, 2007; Koyonagi et al, 2004).
28
The results from the Karyadi et al (2000) study on the nutritional status of TB
patients in comparison to TB free controls, led to the development of a double
blind, placebo controlled trial to assess the effect of vitamin A and zinc
supplementation on treatment response (Karyadi et al, 2002). The results from the
study suggested that supplementation of vitamin A and zinc may improve
treatment response in patients after two months of ATT, which is also supported
by Ghulum et al (2009) who suggest that zinc supplementation improves the
effect of ATT after two months of treatment and recommend that zinc
supplementation become mandatory in malnourished individuals receiving ATT.
Range et al (2005) however, conducted a similar randomized controlled trial and
found no significant effects of zinc supplementation on treatment response.
Boloorsaz et al (2007) conducted a cross sectional study among children to assess
the zinc status during ATT. They found that zinc levels were low during the first
month of treatment and returned to normal 4 months after treatment without
supplementation.
Zinc and vitamin A supplementation may therefore be beneficial in improving the
treatment outcomes after two months of therapy among already malnourished
patients. Since levels appear to return to normal after treatment, supplementation
in ‘normal’ nourished individuals may not be necessary.
Copper, vitamin E and transferrin
No significant differences between serum vitamin E, copper and transferrin
between cases and controls. This was not expected as copper tends to increase in
APR due to the increased synthesis and release of copper-binding protein
ceruloplasmin (Gupta et al, 2009; Koyanagi et al, 2004). Serum copper was
however not significantly increased among cases in this study.
In a review conducted by Gupta et al (2009) on tuberculosis and nutrition, it was
stated that vitamin E levels tend to be decreased in patients who present with
active disease. This finding was however not reported by Range et al (2005) nor
29
Karyadi et al (2000) and vitamin E levels were not significantly decreased among
cases in this study.
According to Kasvosve et al (2006) transferrin receptor levels tend to be
increased during periods of inflammation independent of iron status. In this study
however, transferring receptor levels amongst cases were not significantly
increased in comparison to controls.
30
CHAPTER 6: Conclusions and recommendations
6.1 Conclusion
Malnutrition including, micronutrient malnutrition, especially serum vitamin A
and zinc deficiency was significantly lower in patients who present with active
tuberculosis than TB free contacts. This may be attributed to the APR and
increased metabolism and anorexia seen in these patients. Albumin was also
significantly lower in cases due to the APR while ferritin and CRP were
significantly higher which is can also be attributed to the inflammatory response.
Even though evidence from this study suggest the presence of malnutrition in
active TB cases, it is still unclear whether the disease precipitates malnutrition or
malnutrition leads to disease remains to be seen.
6.2 Limitations and Recommendations
The current sample of the study may be too small and therefore lack the power to
make any significant recommendations regarding nutritional guidelines for
tuberculosis cases. A multi-center study design may be constructed so that
adequate numbers may be recruited for future research into this field.
According to Cegielski and McMurray (2004) case-control studies are not
effective in determining cause and effect of disease as TB causes wasting and
depresses the immune system which resembles malnutrition and therefore the role
of malnutrition in the development of the disease cannot be determined.
A longitudinal study design may be applied in future studies to actually assess the
role of malnutrition in the development of disease.
A 3-day dietary record may prove more reliable to determine nutrient intake.
31
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Informed Consent The micro-nutrient status of persons with pulmonary tuberculosis (TB) in the Western Cape
Investigators Prof Rina Swart, Me Candice Lombardo, Mrs Marianne Visser, Division Dietetics, University of the Western Cape I, ……………………………………………………… (Name in block capitals), the
undersigned, residing at
…………………………………………………………………………………(Address)
Tel. (if available):………………… have carefully read and understood the Patient
Information Sheet and Informed Consent. All my questions about the procedures and
risks involved in this study, were answered to my complete satisfaction by the study
personnel. I can keep copies of the Patient Information sheet and Informed consent. I
was given enough time to decide on my participation in this study.
By signing this Informed Consent Sheet, I declare that I participate in this study of my
free will, without pressure by any other person. I realise that I may withdraw from this
study at any time without stating my reasons and that my decision will not affect my
medical treatment in any way. The study doctor may also withdraw me from the study at
any time in the interests of my health.
I document my informed consent by signing my name below.
Place: ………………………………….. Date:
…………………………………..
Signature (Patient):……………………………………………
I would like to receive the results from the measurements that will be performed. Yes /
No
58
I, …………………………………………….. (Name of trial nurse or project
coordinator), have fully informed the above person of the procedures, aims and risks of
the study, and answered all questions truthfully.
Place:…………………………………… Date:
………………………………….
Signature (Trial nurse or project Coordinator)
………………………………………………
Prof R Swart Me C Lombardo Sr. A. Sampson Tel. 083-482-4113 Tel. 072-2113-109 Tel. 076 5623595 Project coordinator Project nurse
60
Patient Information Sheet The Micronutrient Status of Tuberculosis Patients in the Western Cape (non-tuberculosis control)
Researchers: Prof Rina Swart, Me Candice Lombardo, Mrs Marianne Visser, Department of Dietetics, University of the Western Cape Introduction Vitamins and minerals are necessary in small amounts for health and may be found in many foods. These vitamins and minerals play a role in enhancing your immune system to overcome infectious diseases such as tuberculosis. Aim In this study we would like to find out if there is a difference betwen the micro-nutrient status of people who have Tuberculosis to those who do not. Study Participants You may take part in the study if you are 18 years and older and if
You are willing to undergo counselling and testing for HIV You agree to participate
You may not take part if
You have TB of the lungs You have ever received treatment for TB in the past You have TB affecting other organs You have TB that is resistant to normal TB drugs You are pregnant or wish to become pregnant You have given birth in the last 6 months You have kidney, liver or heart problems You are on corticosteroids You have used any vitamin or mineral capsules containing vitamin A, zinc or iron during the past
month. Procedure of the study and tests that will be performed You will be required to come to the Delt Clinic where the study nurse will draw 2 teaspoons of blood which will be used to determine your levels of vitamins and minerals. The study leaders will take your weight, height, mid-upper arm circumference and skinfold measurements. You will also be asked to recall the foods you ate the day before coming to the clinic. You will be referred for nutrition counselling if you are found to be underweight or obese. You will be counselled before and after your HIV test and if you test positive you will be referred for further testing and treatment. A sputum sample will be collected to confirm that you do not have tuberculosis. Should you be found to have tuberculosis, you will be referred to the clinic for medication. You will receive a small remuneration to cover the transport costs incurred by coming to the clinic. Study Risks All blood samples will be taken by a trained nursing sister following standard procedures to prevent contamination and to limit any risks to you. The risks of drawing blood include temporary discomfort from the needle stick, bruising, bleeding, and rarely, infection.
61
Being tested for HIV may cause anxiety regardless of the results. A positive test means that you have been infected with the HIV virus, but nobody can say for certain when, if ever, you will become sick with AIDS or a related condition. Receiving positive results may upset you.
You do not have to take part in this study if you do not want to and you can withdraw at any time, without stating a reason. The results of your tests will be stored in a secure computer database and will be kept private and your name will not be used in any of the biochemical analyses that will be performed or in the final study report. You may request to receive the results from all the biochemical-, dietary-, and anthropometric analyses that will be performed.
Thank you for considering participating in this study. Please contact us immediately if you experience any problems during this study.
Prof R Swart Ms C Lombardo Sr. A. Sampson Tel. 083-482-4113 Tel. 072-2113-109 Tel. 076 5623595 Project co ordinator Project nurse
62
Patient Information Sheet The Micronutrient Status of Tuberculosis Patients in the Western Cape (Tuberculosis cases)
Researchers: Prof Rina Swart, Me Candice Lombardo, Mrs Marianne Visser, Department of Dietetics, University of the Western Cape Introduction Vitamins and minerals are necessary in small amounts for health and may be found in many foods. These vitamins and minerals play a role in enhancing your immune system to overcome infectious diseases such as tuberculosis. Aim In this study we would like to find out if there is a difference betwen the micro-nutrient status of people who have Tuberculosis to those who do not. Study Participants You may take part in the study if you 18 years and older and if
You have TB of the lungs You are willing to undergo counselling and testing for HIV You agree to participate
You may no take part if
You have ever received treatment for TB in the past You have TB affecting other organs You have TB that is resitant to normal TB drugs You are pregnant or wish to become pregnant You have given birth in the last 6 months You have kidney, liver or heart problems You are on corticosteroids You have used any vitamin or mineral capsules containing vitamin A, zinc or iron during the last
month.
Procedure of the study and tests that will be performed You will be required to come to the Delt Clinic where the study nurse will draw 2 teaspoons of blood which will be used to determine your levels of vitamins and minerals. The study leaders will take your weight, height, mid-upper arm circumference and skinfold measurements. You will also be asked to recall the foods you ate the day before coming to the clinic. You will be referred for nutrition counselling if you are found to be underweight or obese. You will be counselled before and after your HIV test and if you test positive you will be referred for further testing and treatment. You will receive a small remuneration to cover the transport costs incurred by coming to the clinic. Study Risks All blood samples will be taken by a trained nursing sister following standard procedures to prevent contamination and to limit any risks to you. The risks of drawing blood include temporary discomfort from the needle stick, bruising, bleeding, and rarely, infection.
63
Being tested for HIV may cause anxiety regardless of the results. A positive test means that you have been infected with the HIV virus, but nobody can say for certain when, if ever, you will become sick with AIDS or a related condition. Receiving positive results may upset you.
You do not have to take part in this study if you do not want to and you can withdraw at any time, without stating a reason. The results of your tests will be stored in a secure computer database and will be kept private and your name will not be used in any of the biochemical analyses that will be performed or in the final study report. You may request to receive the results from all the biochemical-, dietary-, and anthropometric analyses that will be performed.
Thank you for considering participating in this study. Please contact us immediately if you experience any problems during this study.
Prof R Swart Ms C Lombardo Sr. A. Sampson Tel. 083-482-4113 Tel. 072-2113-109 Tel. 076 5623595 Project co ordinator Project nurse