International Journal of Medicine and Medical Sciences

ISSN 2167-0404

Table of Contents 2012

Research Article

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp.256-262, November, 2012. © International Scholars Journals

Full Length Research Paper 

 

Long-term trends and determinants of myocardial infarction morbidity, mortality, and lethality in Russian population

Valery. V. Gafarov1,2* and Almira. V. Gafarova1,2

1Federal State Budgetary Institution the Interdepartmental Laboratory of Cardiovascular Disease Epidemiology of Siberian Branch of the Russian Academy of Medical Sciences, Russia.

2Federal State Budgetary Institution the Research Institute of Internal Medicine of Siberian Branch of the Russian Academy of Medical Sciences, Russia.

*Corresponding author. E-mail: [email protected]  

Received 18 July, 2012; Accepted 08 November, 2012

Abstract

The objective of the study was to elucidate 33-year trends and determinants in myocardial infarction (MI) morbidity, mortality, and lethality in Russia in 1977 to 2009. Data of WHO studies (Acute Myocardial Infarction Register and MONICA) were analyzed in three districts of Novosibirsk. MI morbidity in 25 to 64-year-old population in Russia was found to be one of the highest in the world. MI morbidity rates remained steady for the entire period of study except for 1988, 1994, 1998 (increase), 2002 to 2004, and 2006 (decrease). Changes in mortality and lethality were similar to changes in morbidity except for 1977 to 1978 and 2002 to 2005. Prehospital mortality and lethality rates significantly exceeded the rates of in-hospital deaths. MI mortality rates exceeded death rates caused by alcohol abuse by 2 to 3 times. Mortality and lethality decrease during period of unchanged morbidity suggested improvement in cardiac care; increase in mortality and lethality at a time of decreased morbidity indicated disorganization of medical services. Prevalence of psychosocial risk factors significantly increased over time, whereas levels of behavioral and somatic risk factors remained unchanged. MI morbidity, mortality, and lethality rates were markers of increasing social stress in population. MI deaths were the main component of increase in mortality in Russia.

Key words: Myocardial infarction, epidemiology, morbidity, mortality, risk factors.

Gafarova AV, Gafarov VV

Page: 256 - 262

Research Article

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp. 263-268, November, 2012. © International Scholars Journals

Full Length Research Paper

Τhe role of exercise in the breast cancer related lymphedema


Panagiotou A., Nastoulis E., Bakirtzis D., Papadopoulos P., Tsonga TH., Fiska A. and Kapetanakis S.*

Department of Anatomy Medical School of Alexandroupolis, Democritus University of Thrace, Greece, 68100.

*Corresponding author. E-mail: [email protected]

Received 07 August, 2012; Accepted November 09, 2012

Abstract

The upper extremity breast cancer related lymphedema is a result of the surgery and /or radiation in the axillary lymph node due to interference of the lymphatic drainage of the affected area. Lymphedema is presented as a chronic swelling of the limb followed by pain, changes in the appearance of the skin, difficulty in moving of the joints and infections. These symptoms significantly affect the quality of life of the patient. The main risk factors for developing lymphedema include stage of cancer, the type of surgery, the surgical removal or/and radiation of axillary lymph nodes, the number of retrieved lymph nodes, the exposure to high temperatures and obesity. Lymphedema is irreversible so it is imperative to inform patients about risk factors and how to prevent and control it when is installed. In this point exercise can have significant benefits for breast cancer survivors during and after treatment. Furthermore participation in an upper body exercise program caused no changes in arm circumference or arm volume in women with lymphedema after breast cancer and exercise generally encourages skeletal muscle contractions to provide the primary pumping mechanism for lymphatic and venous drainage and therefore stimulates the contraction of lymph vessels.

Key words: Lymphedema, exercise, breast cancer, aerobic exercise.  

Bakirtzis D, Panagiotou A, Tsonga TH, Papadopoulos P, Fiska A and Kapetanakis S, Nastoulis E

Page: 263 - 268

Research Article

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp. 245-250, November, 2012. © International Scholars Journals

Full Length Research Paper

 

Volitional single fiber electromyography of the masseter muscle; normative values and in myasthenia gravis

Saly. H. Elkholy1*, Hatem. S. Shehata2, Hebatallah Raafat1, Amani. M. Nawito1 and Rania. A. Almahdy1

1Clinical Neurophysiology Unit, Faculty of Medicine, Cairo University, Egypt.

2Neurology Department, Faculty of Medicine, Cairo University, Egypt.

Corresponding author. E-mail: [email protected]

Received 07 July, 2012; Accepted 22 November, 2012

 Abstract

This study was aimed at establishing normative values for volitional single fiber electromyography (SFEMG) of the masseter muscle in Egyptians and evaluating the sensitivity of this test in the diagnosis of generalized myasthenia gravis. Twenty two patients with myasthenia gravis (mean age of 37.72 years; range, 20 to 59; mean duration of illness, 4 years; range, 1 months to 16 years) where enrolled in the study to assess for SFEMG of the masseter muscle and of the extensor digitorum communis (EDC) muscle. Twenty normal individuals (mean age 34.3; range 22 to 55 years) where similarly studied to determine the normative values of SFEMG of the masseter muscle. The mean jitter of the masseter in the patients’ group was 63.4 ± 9.98 us, compared to 21.3 ± 4.9 us in the control group. Examination of the masseter muscle yielded 100% sensitivity in this study, compared to 90% sensitivity for EDC. We suggested a normal upper limit of masseter’s mean jitter of 26 microsecond/ study (mean +/- 1 SD) and 28 us / individual fiber pair (The 95th upper percentile was 27.51 us). Volitional SFEMG of the masseter muscle is highly sensitive test to diagnose generalized MG that is not related to weakness of this particular muscle but correlated to the degree of the disease’s severity.

Key words: Single fiber electromyography (SFEMG), masseter muscle, extensor digitorum communis, myasthenia gravis, repetitive nerve stimulation, neostigmine test.

Saly. H. Elkholy, Hebatallah Raafat, Hatem. S. Shehata, Amani. M. Nawito and Rania. A. Almahdy

Page: 245 - 250

Research Article

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp.251-255, November, 2012. © International Scholars Journals

Full Length Research Paper

Feasibility of using World Health Organization (WHO) pain ladder in the management of pain at a secondary healthcare center

Obaro S. Michael1* and Joseph A. Badejo2

1Department of Pharmacology and Therapeutics, College of Medicine, Bowen University, Iwo, Nigeria.

2Department of Pharmacology and Therapeutics, College of Medicine, University of Ibadan, Oyo State, Nigeria.

*Corresponding author. E-mail: [email protected]

Received 08 July, 2012; Accepted 07 November, 2012

Abstract

The objectives of this report were to determine the feasibility of adhering to World Health Organization (WHO) three-step pain management guidelines in a secondary healthcare institution and to identify areas where improvements are needed. The study was carried out in January, 2012. Descriptive analysis of available analgesics and adjuvants was done and the cost implications were also evaluated. Analgesic options for the 3 rungs of the WHO pain ladder were available. However, 11/14 (78.6%) of all the analgesics were nonsteroidal antiinflammatory drugs (NSAIDS). No Cox-2 inhibitor was available. Tramadol and Dihydrocodeine were the only agents available for second level treatment of pain, while parenteral pentazocine was the only agent available for the treatment of severe pain. All the agents were affordable. Managing pain using the WHO pain ladder is feasible at secondary healthcare hospitals. However, there is a need to expand analgesic options at the second and third rungs of the ladder.

Key words: World Health Organization (WHO) pain ladder, analgesics, cost, Nigeria.

Joseph A. Badejo, Obaro S. Michael

Page: 251 - 255

Review

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp. 211-217, November, 2012. © International Scholars Journals

Review

Immunopathogenesis, treatment and prevention of immune reconstitution inflammatory syndrome (IRIS)

Dagnachew Muluye*, Desalegn Woldeyohannes, Mucheye Gizachew, Beyene Moges, Gizachew Yismaw, Moges Tirneh and Afework Kassu

School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, P. O. Box 196, Gondar, Ethiopia.

*Corresponding author. E-mail: [email protected], [email protected]

Received 08 July, 2012; Accepted 15 November, 2012

Abstract

Immune reconstitution inflammatory syndrome (IRIS) is a clinical syndrome that has been described in human immunodeficiency virus (HIV) infected patients after initiation of highly active anti-retroviral therapy. The immunopathogenesis of IRIS is characterized by a dysbalanced restoration of the immune system or by paradoxical acute worsening of an underlying opportunistic infection (OI) or acquired immune deficiency syndrome (AIDS)-defining illness. The incidence of IRIS varies in different conditions and depends on the patient population, being higher in patients with greater burden of infection and advanced disease. The risk factors were found to be low baseline CD4-cell count, an excellent virological response, an increased antigenic burden of an opportunistic infection and early initiation of antiretroviral treatment after an OI. The clinical effect of IRIS ranges from mild, self-limiting illness to severe morbidity and mortality. Diagnosis is difficult because of a diverse range of clinical presentations. Treatment dilemma is also a big issue which includes discontinuation of antiretroviral treatment, corticosteroids or pathogen-specific therapy. Early screening of patients is needed to rule out any OIs before the start of highly active anti-retroviral therapy. The lack of appropriate treatment guidelines poses challenges in the management of these patients, hence provision of treatment guidelines and engaging in more research regarding immunopathogenesis, diagnosis and treatment of IRIS should be well thought-out.

Key words: Immune reconstitution inflammatory syndrome (IRIS), prevention, treatment, immuno-pathogenesis, human immunodeficiency virus (HIV) patients.

INTRODUCTION

Immune reconstitution inflammatory syndrome (IRIS) is a clinical syndrome that has been described in HIV infected patients after initiation of highly active anti-retroviral therapy (HAART) and measurable viral suppression,  and

Abbreviations: AIDS, Acquired immune deficiency syndrome; ART, anti-retroviral therapy; cART, combined ART; HAART, highly active anti-retroviral therapy; HIV, human immunodeficiency virus; IRIS, immune reconstitution inflammatory syndrome; KS IRIS- Kaposi’s sarcoma immune reconstitution inflammatory syndrome, NSAIDs, non-steroidal anti-inflammatory drugs; OI, opportunistic infection. 

is characterized by paradoxical or unmasked acute worsening of an underlying opportunistic infection (OI) or AIDS-defining illness (Shelburne et al., 2002; Manabe et al., 2007; Haddow et al., 2010). It is a serious condition that can occur shortly after a person starts HIV therapy for the first time. It happens when one’s immune system recovers too quickly. Highly active antiretroviral therapy can start to restore immune cell function and respond to other infections that may or may not have been diagnosed before starting therapy, even the ones that may have already been under control. Because clinical deterioration occurs during immune recovery, this phenomenon has been described in different terms as immune restoration disease, immune reconstitution syndrome, Immune recovery disease, immune reconstitution disease, immune rebound illness, steroid-withdrawal disease, immune response reactions and paradoxical reactions (Cheng  et  al.,  2000;  Cooney,  2002; French et al., 2000; Shelburne et al., 2002).

There are two common clinical scenarios in IRIS: unmasking IRIS and paradoxical IRIS. In unmasking IRIS, the infection is newly identified after the initiation of antiretroviral treatment (ART), and usually the provoking pathogen is viable (French, 2009). In paradoxical IRIS, the infection was previously treated but worsened clinically after ART initiation and the causative pathogens can be either viable or non-viable (French, 2009).

It is a paradoxical deterioration in clinical status after ART initiation despite improved immune function due to inflammatory response against infectious antigen, which may or may not have been diagnosed at initiation of ART. Immune reconstitution inflammatory syndrome most often occurs in patients with low initial CD4 (usually <50/µl) and rapid decline in viral load; onset usually within 6 weeks of ART initiation, but sometimes several months later (Musey et al., 1999; Rosenberg et al., 2000). Although IRIS that is seen even in late-stage disease, is more prominent in patients who commence treatment during early HIV infection before substantial damage to the immune system, where robust responses are often seen after treatment (Oxenius et al., 2001).

It is speculated that IRIS results from the restoration of immunity to pathogen-specific antigens present at the time of ART initiation. Following ART, a quantitative increase in peripheral T cells occur which partially restores activity to recall antigens as a result of suppression of HIV viral replication in lymphoid tissue and reductions in immune activation (Bucy et al., 1999; Autran et al., 1997). Therefore, the aim of this review is to compile and provide the available information on the epidemiology, clinical presentation and pathogenesis and present treatment options of IRIS.

EPIDEMIOLOGY AND RISK FACTORS OF IRIS

Despite numerous descriptions of the infectious and noninfectious causes of IRIS, the overall incidence of the syndrome itself remains largely unknown. The incidence of IRIS observed in HIV infected patients following initiation of HAART is variable (Li et al., 1998; Palella et al., 1998). The proportion of patients starting ART who develop IRIS is not well known, with estimates ranging from less than 10% to more than 50% in several studies (Kumarasamy et al., 2004; Narita et al., 1998; Lawn et al., 2005a; Ortega-Larrocea et al., 2005), but not all have reported an increased risk of the syndrome in patients starting ART who have advanced immunodeficiency (French et al., 2004; Colebunders et al., 2006; French et al., 2000; Jevtović et al., 2005; Bourgarit et al., 2006).

In a single study conducted in Ethiopia, the proportion of IRIS was 17.2% among 186 HIV/AIDS patients receiving HAART. According to the study, the mean number of days of IRIS occurrence for different diseases ranged from 26 to 122 days was 80 days.

Opportunistic diseases associated with IRIS were tuberculosis (68.8%), herpes zoster rash (12.5%), cryptococcosis (9.4%), toxoplasmosis (6.3%) and bacterial pneumonia (3.1%) (Huruy et al., 2008).

A retrospective study showed that among 47 patients on combined ART (cART) at a TB clinic, 11 (23%) experienced unmasking IRIS (Valin et al., 2010). The patients had lower CD4%, higher HIV-RNA load at baseline and a stronger CD4% increase with HIV-RNA decline after one month on cART than the 36 remaining patients without unmasking IRIS (Valin et al., 2010).

A study in sub-Saharan Africa and United Kingdom showed that 58 patients (13.9%) experienced Kaposi’s sarcoma (KS-IRIS) among 436 patients during the first 3 months on cART. Independent predictors of KS-IRIS development were found to be having an advance KS-stage at KS diagnosis and having a pre-cART HIV viral load higher than 5 log10 copies/ml (Letang, 2011).

Essentially, any pathogen that can cause an opportunistic infection as a result of impaired cellular immune responses can provoke IRIS after pathogen-specific immune responses are restored by ART (French, 2009).

The risks of unmasking and paradoxical forms of IRIS in HIV infected patients starting ART are fuelled by a combination of the late presentation of patients with advanced immunodeficiency, the associated high rates of OIs and the need for rapid initiation of ART to minimize overall mortality risk. Risk factors identified for the development of IRIS in one cohort study included male sex, a shorter interval between initiating treatment for OI and starting ART, rapid fall in HIV-1 RNA after ART, and being ART-naïve at the time of OI diagnosis (Dhasmana et al., 2008; Manabe et al., 2007; Shelburne et al., 2005). Other significant predictors have also included younger age, a lower baseline CD4 cell percentage, a lower CD4 cell count at ART initiation, and a lower CD4 to CD8 cell ratio at baseline (Ratnam et al., 2006). The four principal factors associated with an increased risk of developing IRIS are: (1) Low baseline CD4+ T-cell count, (2) Excellent virologic response to ART, (3) Increased antigen burden of an OI and (4) Early initiation of ART in close proximity to starting therapy for an OI (Valin et al., 2010; French, 2009; Dhasmana et al., 2008; Manabe et al., 2007; Shelburne et al., 2005; Ratnam et al., 2006). These factors have been identified in different studies done; however, these risk factors are by any means universal. For example, extrapolating from a case series on TB-IRIS may not be informative for defining the risk of hepatitis B IRIS (Shuli et al., 2008).

CLINICAL PRESENTATION AND DIAGNOSIS OF IRIS

Almost any organ or system may be affected by IRIS, and the clinical spectrum of IRIS depends on the site affected, the pathogen involved, and the host-parasite inter­action and manifestations  are  worsened  than  other conditions. IRIS may be targeted at viable infective antigens, dead or dying infective antigens, host antigens, tumour antigens and other antigens, giving rise to a heterogeneous range of clinical manifestations. The commonest forms of IRIS are associated with mycobacterial infections, fungi and herpes viruses (Dhasmana et al., 2008). Tuberculosis, Mycobacterium avium complex, Cryptococcus, Cytomegalovirus, Hepatitis B or C, Progressive multifocal leukoencephalopathy, Kaposi’s sarcoma, Autoimmune diseases, Herpes simplex virus, varicella zoster virus, a number of dermatologic manifestations, such as folliculitis and oral and genital warts, may appear or worsen during immune reconstitution (New York State Department of Health AIDS Institute, 2009).

Definition of IRIS is described as follows as stated by French et al. (2000) and must meet both major A and B criteria, or major A and any two minor criteria.

Major criteria A

a) Atypical presentation of OIs or tumors in patients responding to ART.

b) Localized disease (for example, lymph nodes, liver, spleen).

c) Exaggerated inflammatory reaction (for example, severe fever, painful lesions).

d) A typical inflammatory response in affected tissues (for example, granulomas, suppuration, necrosis, perivascular lymphocytic inflammatory cell infiltrate).

e) Progression of organ dysfunction or enlargement of preexisting lesions after definite clinical improvement with pathogen-specific therapy before ART and exclusion of treatment toxicity and new diagnoses.

Major criteria B

a) Decrease in viral load greater than one log.

Minor criteria

a) Increased CD4 T-cell count after ART.

b) Increase in an immune response specific to the relevant pathogen (for example, delayed-type hypersensitivity response to mycobacterial antigens).

c) Spontaneous resolution of disease without specific antimicrobial therapy or tumor chemotherapy with continuation of ART (French et al., 2004).

Possible differential diagnoses in patients experiencing clinical deterioration after initiating ART

a) IRIS—paradoxical reaction (deterioration of known condition that would otherwise be expected to improve).

b) IRIS—unmasking (new clinical presentation of undiagnosed but preexisting condition).

c) Failure of OI treatment because of drug-resistant organism.

d) Failure of OI treatment because of non adherence to OI treatment or prophylaxis.

e) Failure of ART because of drug resistance.

f) Failure of ART because of non adherence to ART.

g) Failure of OI treatment or ART for other reasons (for example, malabsorption).

h) Newly acquired OI or other condition.

i) Expected course of preexisting OI or other condition.

j) Adverse drug reaction.

There is no diagnostic test for IRIS and the differential diagnosis is complex as mentioned before. Therefore it is important to note that IRIS is a diagnosis per exclusion which means that first all other possible causes of clinical worsening should be ruled out before we can conclude that the patient has IRIS (Haddow et al., 2009).

IMMUNOPATHOGENESIS OF IRIS

The immunopathogenesis of IRIS remains incompletely defined or poorly understood but studies have shown associations with T-cell expansion, proinflammatory cytokine release and diminished regulatory T-cell activity (Dhasmana et al., 2008). The vast majority of cases of IRIS develop in the first 3 months of ART (Shelburne and Hamill, 2003; Lawn et al., 2005b) corresponding to the first phase of immune reconstitution in which there is a very rapid increase in both the number of circulating CD45RO+ memory cells as well as CD4 cell function (Autran et al., 1997). Delayed development of IRIS in minority of cases might be due to delayed immune recovery after ART is commenced.

Most cases of IRIS are associated with chronic bacterial infections, viral infections and deep fungal infections, which typically trigger immunopathology via cell-mediated T-helper type 1 (TH1) cytokine-secreting immune responses (Bourgarit et al., 2006; Shelburne and Hamill, 2003; Lawn et al., 2005b; Havlir and Barnes, 1999). Many different pathogens have been associated with the development of IRIS. The leading pathogens include: Mycobacterium tuberculosis, Mycobacterium avium complex, Cytomegalovirus, Cryptococcus, Pneumocystis, Herpes simplex virus, Hepatitis B virus and Human herpes virus 8 (associated with Kaposi’s sarcoma). Some case reports have also documented IRIS associated with: hepatitis C virus, parvovirus B19 (Nolan et al., 2003), herpes simplex, Bartonella henselae, Histoplasma capsulatum (Breton et al., 2006), dermatophytosis (Van Hal et al., 2005), leprosy (Couppié et al., 2004; Lawn et al., 2003; Bower et al., 2005; Menezes et al., 2009), bacillus Calmette-Guérin (BCG) (Puthanakit et al., 2005), Penicillium marneffei (Gupta et al., 2007), Schistosoma mansoni (De  Silva  et  al.,  2006) and Molluscum  contagiosum  virus.  In addition, some patients with Kaposi's sarcoma have developed an IRIS-like syndrome when  HAART  was  initiated  (Murdoch  et  al.,

2008; Shelburne et al., 2005; Connick et al., 2004) and other patients have developed grave's thyrotoxicosis or recurrence of sarcoidosis after starting HAART.

The development of IRIS requires advanced HIV infection with severe immune damage, improving immunity in response to ART, the presence of inciting antigens that trigger an immune response and the apparent loss of normal homeostatic control of immune responses, resulting in an over exuberant inflammatory response. The strongest predictor for the development of IRIS, however, is a low CD4+ T-cell count prior to starting ART (French et al., 2000; Ratnam et al., 2006).

In AIDS patients, damage to homeostatic control mechanisms followed by rapid ART-restoration of pathogen-specific immune responses, could promote exaggerated inflammatory responses, especially if viable pathogens or pathogen debris are present at high concentrations. Nevertheless, it is intriguing that restoration of pathogen specific immunity is uneventful in some patients but leads to severe immunopathology in others (Munier and Kelleher, 2007). Highly active anti-retroviral therapy induced metabolic derangements are being described for IRIS related to autoimmune disease (Calabrese et al., 2005). 

Conditions for IRIS require: antigen, restoration of antigen-specific immunity, dysregulated immune response which is hypothesized to be functional imbalance in pro-inflammatory (Th1, Th17) versus anti-inflammatory (Treg) T-cell populations. Cytokine profiles of IRIS events are heterogeneous based on the inciting pathogen (for example, viral, fungal, mycobacterial, etc) with marked individual variation. Pro-inflammatory cytokines are generated at time of mycobacterial and fungal IRIS events, such as IL-6, IL-17, IFN-γ, and TNF-α (Shuli et al., 2008).

When comparing cytokine levels between IRIS cases and non-IRIS controls by the type of IRIS presentation, different cytokine expression patterns were observed and most IRIS cases showed an increase in IL-6 and IFN-g in comparison to non-IRIS controls (Catherine et al., 2010).

During HAART and immune reconstitution, pathogen derived antigens are processed and presented to CD4+ T-cells leading to T-cell activation and secretion of macrophage-activating interferon-γ. Vitamin D inhibits this IFN-γ production. In case of low vitamin D levels prior to HAART, a defective clearing of pathogens and a delayed negative feedback on macrophage activation due to low vitamin D production, can lead to excessive granuloma formation and an exacerbated inflammatory response described as IRIS (Baeke et al., 2007).

One possible mechanism that illustrates the immunology of IRIS in a subject with HIV/TB co-infection shows that compromised gut immunity leads to increased translocation of luminal gram negative bacterial lipopolysaccharides into the systemic circulation. Initiation of HAART in the subject leads to abrupt restoration of CD4+ T-cells and almost any  pathogen-specific  immune response. IRIS developers have a high burden of lipopolysaccharids and pro-inflammatory cytokines produced against lipopolysaccharids could result in an exaggerated, nonspecific attack on latent mycobacterial antigens that are presented in the local lymph nodes leading to localized inflammation (Esaki et al., 2007).

Higher pre-ART levels of interleukin (IL)-4 and IL-17 as well as lower tumor necrosis factor (TNF)-a, granulocyte colony-stimulating factor (GCSF), granulocyte-macrophage colony-stimulating factor (GM-CSF), and vascular endothelial growth factor (VEGF) predicted future IRIS. After ART was initiated, increasing levels of C-reactive protein (CRP), D-dimer, IL-6, IL-7, IL-13, G-CSF, or IL-1RA were associated with increasing hazard of IRIS (David et al., 2010).

Patients who had experienced an IRIS demonstrated increased levels of bioavailable IL-6 and increased expression of CCR5 and CCR3 on monocytes and granulocytes, but numbers of γδT-cells were similar to patients with similar CD4 T cell counts without an IRIS. Carriage of HLA-A2, HLA-B44 was associated with a history of Cytomegalovirus (CMV) retinitis and/or encephalomyelitis as an IRIS, but not with IRIS initiated by Mycobacterium spp., cutaneous varicella zoster or herpes simplex infections or hepatitis c virus (HCV). It also identified that a patient with graves’ thyrotoxicosis and pronounced lymphadenopathy after HAART, demonstrated that thyroid stimulating hormone receptor antibody production was associated with an increase in serum soluble CD30, suggesting acquired immune dysregulation (Priceab et al., 2001).

Genetic polymorphisms of IL-6, IL-12, and TNF-α have been also implicated as possible factors in risk and protection from IRIS. Differences in gene expression exist prior to beginning HIV therapy which may predict the risk of subsequent IRIS. The genes differentially expressed involve immune activation and anti-viral responses (Shuli et al., 2008).

CD4 T-cells are involved in mycobacterial and other granulomatous IRIS whereas CD8+ T cells are more frequently associated with viral IRIS. Immune reconstitution disease could be the consequence of unbalanced reconstitution of over activated T cells and regulatory T cells (Tregs). Direct activation of monocytes and dendritic cells during immune reconstitution, in particular by living or dead mycobacteria or antigenic debris could be a possibility. Antigen load during immune restoration may be a determining factor as well. Finally, the cytokine environment during immune restoration, IL-7 and IL-10 in particular, both important in T-cell homeostasis, could have a pivotal role in the development of IRIS (Kestens et al., 2008).

PREVENTION OF IRIS

To prevent development of IRIS, initiation of  ART  before advanced immunosuppression would be expected to reduce the risk of IRIS because advanced immunosuppression increases the risk for opportunistic infections, which is a risk factor for IRIS (Bonham et al., 2008). Recognize that the highest risk occurs in patients with CD4<50 and HIV viral load >100,000 who have a rapid response to ARV (Shuli et al., 2008; Beishuizen et al., 2009). To prevent unmasking IRIS, a thorough screening for active opportunistic infections before ART initiation is critical, because patients with advanced immunosuppression may have atypical or minimal symptoms owing to the absence of an inflammatory response (Dhasmana et al., 2008; Meintjes and Lynen, 2008). For paradoxical IRIS, a shorter delay between starting treatment for tuberculosis and cryptococcosis and ART has been identified as a risk factor (Navas et al., 2002; Breen et al., 2004). However, delaying ART to the end of tuberculosis treatment may reduce the risk of tuberculosis-IRIS occurrence, but is likely to come at the cost of advancing immunosup- pression, other opportunistic infections and increased AIDS-related mortality (Lawns and Woods, 2007).

TREATMENT OF IRIS

The evidence base for producing guidelines on the treatment of IRIS is very limited and relies heavily on clinical observations and expert opinion (Meintjes and Lynen, 2008). Basically, treatment of IRIS should be started after all other alternatives are ruled out which can be used as mono or combination therapy. The treatment approaches are: temporary ART discontinuation until the clinical condition has improved, use of non-steroidal anti-inflammatory drugs (NSAIDs) or corticosteroids, pathogen-specific therapy or other therapy (Battegay and Drechsler, 2006). ART interruption should be recommended only for patients with severe, life-threatening symptoms until their condition is established. Immune reconstitution inflammatory syndrome can recur during re-initiation of ART, so this has to be monitored carefully. However, stopping ART in the setting of incompletely suppressed HIV replication may be associated with an increased risk of antiretroviral resistance (Meintjes et al., 2008).

Anti-inflammatory therapy may be effective but should be reserved for the most severe cases; this is especially true of corticosteroid therapy, which can increase the risk of reactivating other latent infections. Anti-retroviral therapy should only be ceased if disease is life threatening. In cases of paradoxical IRIS, treatment of the opportunistic infection should be continued to suppress replication of the provoking pathogen and to reduce antigen load (French, 2009).

Non-steroidal anti-inflammatory drugs are advised for the management of mild and moderate cases, and corticosteroids    for    the    individuals    with   severe   or life-threatening disorders. On the other hand, corticosteroids have been shown to be associated with an excess of Kaposi’s sarcoma and herpes virus reactivation in HIV-infected patients with low CD4 counts but not in patients with increasing CD4 counts after initiation of ART. Pathogen-specific therapy should be started or continued in the case of unmasking or paradoxical IRIS (Meintjes and Lynen, 2008). Prednisone reduced the need for hospitalization and therapeutic procedures and hastened improvements in symptoms, performance, and quality of life (Meintjes et al., 2010).

CONCLUSION

Immune reconstitution inflammatory syndrome is the result of an exaggerated cellular immune response to living or dead pathogens or debris. It is associated with restoration of pathogen-specific effector T cells and regulatory T cells. T regulatory cells may be suppressed; however, by the disrupted cytokine environment because of impairment of the homeostatic control mechanisms. A part from this fact, it is not clear which factors or combination of factors trigger IRIS. These factors could be pathogen related (antigen load), genetic or immune related such as for instance the diversity of pathogen-specific T cells during immune restoration. Clinicians treating patients with AIDS need to be aware that HAART-engendered immune recovery may result in pathological inflammation in a subset of patients. Vigilance needs to be especially high during the first several months of therapy where the incidence of IRIS peaks, but cases continues to occur even after 1 or 2 years of therapy. Early monitoring of CD4 counts in HIV patients is needed so that cART should not be delayed in patients with AIDS defining diseases. The lack of appropriate treatment guidelines poses challenges in the management of these patients hence provision of treatment guidelines and performing more research regarding immunopathogenesis, diagnosis and treatment of IRIS.

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Beyene Moges, Gizachew Yismaw, Desalegn Woldeyohannes, Moges Tirneh and Afework Kassu, Mucheye Gizachew, Dagnachew Muluye

Page: 211 - 217

Case Report

International Journal of Medicine and Medical Sciences ISSN: 2167-0404 Vol. 2 (11), pp. 221- 227, November, 2012. © International Scholars Journals

Case Report

Further validation of Zagazig depression scale shortened form (ZDS-SF) and depression diagnosis in a United Kingdom (UK) student population

Ahmed. K. Ibrahim1, 2*, Shona. J. Kelly3 and Cris Glazebrook4

1Public Health Division, Faculty of Medicine, Assiut University, Assiut, Egypt.

2Division of Epidemiology, Community Health Sciences School, D Floor, West Block

Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom (UK).

3Centre for Intergenerational Health Research, University of South Australia, Division of Health Sciences, Social Epidemiology Unit, City East Campus, Adelaide, Australia.

4Division of Psychiatry, Institute of Mental Health, Jubilee Campus, Nottingham, United Kingdom (UK).

*Corresponding author. E-mail: [email protected]

Received 09 July, 2012; Accepted 09 November, 2012

Abstract

The Zagazig Depression Scale has been validated in Egyptian populations and the shortened form (ZDS-SF) found high rates of depression in Egyptian students. Preliminary research has supported the validity and reliability of the measure in a UK student but further work is needed. The study aimed to determine the criterion validity of the ZDS-SF against a clinical interview and its test-retest reliability in a UK student sample. Participants (n=20) completed online measures of the Patient Health Questionnaire and the ZDS-SF at time 1. At time 2 (median follow-up 15 days) they were interviewed using the Clinical Assessment in Neuropsychiatry (SCAN) to establish a clinical diagnosis of depression, followed by re-administration of the online measures.  There was excellent (95%) agreement for diagnosis of depression between time 2 ZDS-SF and SCAN (Kappa = 0.89). The sensitivity of the ZDS-SF was 100% and the specificity 93.3%, giving an overall positive predictive value of 83.3%. The ZDS-SF symptom score also had good response stability over a two week interval (ICC = 0.66). ZDS-SF scale is a valid measure of depression for use in a UK university student cohort with good psychometric properties and can be used for cross-cultural comparison studies.

Key words: Depression, university student, Zagazig depression scale.

INTRODUCTION

Depression is recognized as the most common psychiatric disorder affecting adolescents and young adults   (Birmaher  et  al.,  2004).  It  has  a  multi-factorial

Abbreviations: ZDS-SF; Shortened form Zagazig depression scale, PHQ-9; patient health questionnaire-9, SCAN; schedule for clinical assessment of neuropsychiatry, DSM-IV; diagnostic and statistical manual of mental disorders, 4th edition, WHO; World Health Organization, ICD-10; International Classification of Disease, 10th revision, BDI; Beck depression inventory, SES; socio-economic status, GP; general practitioner, NHS; National Health Service, ICC; intra-class correlation, HDRS; Hamilton depression rating scale.

origin; hence many theories have been postulated to explain it (biological, genetic, environmental theories) (Hankin, 2006). Also, it is multi-faceted and can be presented by a mixture of psychiatric and/or physical symptoms (Weinberger et al., 2009). It is not an easy task to diagnose depression in adolescents and young adults as they report certain symptoms more frequently than adults (Gladstone et al., 2011). Although frequently a mild affective disorder depression can have serious complications in young adults and suicide is the leading cause of death in this age group (Mirjami et al., 2011). There is evidence that university students have high rates of depressive symptoms and early identification is important since depression is a preventable and treatable disease especially in children and young adults (Ibrahim et al., 2012; NICE, 2009).

The Arabic version of the Zagazig depression scale (ZDS) has been previously used to screen for depressive symptoms in the Egyptian general population (El-Sayeh, 1991; Fawzi et al., 1982; Fawzy, 1982; Shaheen and Fawzi, 1985) as well as in Egyptian university student cohort (Ibrahim et al., 2011a). It has been translated to be used as a tool for cross-cultural comparison between Egyptian and UK students and preliminary research has supported its validity and reliability in this population (Ibrahim et al., 2010). 

Few studies have explored test-retest reliability in depression scales in university students particularly. The beck depression inventory (BDI) multiple test-retest reliability was investigated in a university student sample over a two month period, concluding that BDI has a strong correlation over time (r = 0.9), however they did not look at the agreement with other scales (Ahava et al., 1998). This was further supported in another study, where the test-retest reliability was 0.96 over one month interval (Sprinkle et al., 2002). Test-retest reliability is considered good if the agreement between responses on separate administrations is high. Measures of stable constructs over time are expected to have high test-retest reliability. In contrast, since overall mood is anticipated to change over time, a mood scale with very high test-retest reliability may be less sensitive to mood changes (Valentin et al., 2002).

The interval between tests is therefore a key point to consider before interpreting the results of any test-retest analysis. Most depression scales ask participants about depression symptoms over the past two-four weeks. Administration of the depression scale after a longer interval might yield moderate test-retest reliability; because it is more likely that depression symptoms can change over

time. If administered two to four weeks apart, test-retest reliability should be moderate to high (William Li et al., 2010).

It was proposed that a standardized and validated tool for depression screening is necessary as it enables comparisons of findings both nationally and internationally and enhances the reputation of the measure (Laake et al., 2007). However, there is no universal agreement on how to adapt an instrument for use in another cultural setting (Gjersing et al., 2010). Self-reported depression scales are cost-effective in time and resources, especially in case of mass screening surveys (Jenkins and Dillman, 1995). Clinical interview is considered the gold standard for diagnosis of depression as it is more objective than subjective and it is carried out by well-trained personnel who can rate the symptoms accurately (Wing et al., 1990).

Aim of this research

To determine the criterion validity of the  ZDS-SF  against a clinical interview and the test-retest reliability of the ZDS-SF in a UK undergraduate student sample.

METHODOLOGY

Participants

Participants were university students who had taken part in an online survey of the socio-economic determinants of depression (Ibrahim et al., 2011b). Inclusion criteria were undergraduate students in completion of an online assessment of ZDS-SF and PHQ and attend either the University of Nottingham or Nottingham Trent University. Participants were excluded if they were EU or international students and if they did not provide contact details. Our minimum target sample size was 20 students which was sufficient to detect a Kappa of 0.7 with 90% power based on an estimate of 20% positive ratings (Sim and Wright, 2005).

Of the 923 students participating in the online survey, 564 met the inclusion criteria and were invited to take part in further study. A total of 184 students (32.6%) supplied contact details of which 96 met the inclusion criteria and were invited to participate in the validation study. Of the 34 who agreed to be interviewed 14 either failed to make an appointment or failed to attend for interview within the study period, giving a final sample of 20.

Study design

The validation study consisted of a cross-sectional standardized face to face psychiatric interview with repeated measures for ZDS-SF scores. 

Measures

Zagazig depression scale shortened form (ZDS-SF)

The ZDS was derived from the Hamilton depression scale (HDRS) (Hamilton, 1967). The original Arabic version contained 52 items representing 17 domains ((Fawzi et al., 1982). In the current study the translated, modified 43-item version of the ZDS was used (Ibrahim et al., 2010, 2011a), which consists of 11 domains (depressed feelings, suicide ideation, guilt feelings, anxiety, insomnia, agitation/hypochondriasis, sleep maintenance, diminished ability to think, concentrate or slowness, lack of energy and motivation, weight loss, sexual symptoms). Participants rate symptoms as present (0) or absent (1) during the last two weeks giving a maximum score of 43. The reliability and validity of the ZDS-SF was tested in two studies (Ibrahim et al., 2010, 2011a). The first was a pilot study that used a  sample  of 275 UK University students to improve the questionnaire wording and layout. This pilot study (estimated 30 to 40% response rate) found a strong (r = 0.8) and statistically significant correlation between the Patient Health Questionnaire-9 (PHQ-9) (Spitzer et al., 1999) which has been well validated for use as a depression screening tool in UK adult population (Lowe et al., 2004; Spitzer et al., 2004). Internal consistency for the total ZDS-SF was excellent (Cronbach's alpha = 0.90) (Ibrahim et al., 2010). The second was a reanalysis of a representative sample of Egyptian university students, revealed that the internal consistency of the revised ZDS-SF was excellent (Cronbach's alpha = 0.91) as was the spilt-half correlation coefficient (r = 0.81, p < 0.001) (Ibrahim et al., 2011a). We used a cut-off of 10 proposed by the ZDS developers (Fawzi et al., 1982) to categorize participants as depressed or non-depressed. ZDS-SF scores were also used as a continuous variable in some analyses.

Patient health questionnaire-9 (PHQ-9)

PHQ-9 is the depression module of the PHQ (Spitzer et al., 1999). It is composed of 9 items each representing one of the 9 DSM-IV criteria for depression. It uses a 4-point scale; "not at all", "several days", "more than half the days" or "nearly every day". The maximum possible score for the PHQ-9 is 27, with a cutoff of 5 to indicate the presence of at least mild depression (Spitzer et al., 1999). The validity, feasibility, and ability to detect changes in depressive symptoms have been reported in several studies (Kroenke et al., 2001; Liu et al., 2011; Lowe et al., 2004; Spitzer et al., 1999; Wulsin et al., 2002). Additionally, the PHQ-9 is increasingly being used in research, and has demonstrated superior criterion validity with respect to the diagnosis of depression compared with other established screening instruments for depression (Kroenke et al., 2004; Lowe et al., 2004).

Schedule for clinical assessment in neuropsychiatry (SCAN)

Schedule for clinical assessment in neuropsychiatry (SCAN) is a set of instruments and manuals designed to assess, measure and classify psychopathology and behavior associated with major psychiatric disorders in adults. Developed under the aegis of the World Health Organization (WHO), it has a bottom-up approach where no diagnosis-driven frames are used to group the symptoms but rather each symptom is assessed in its own right. It has a proven stability and robustness to differentially assess psychotic and neurotic states (Wing et al., 1998). The validity, reliability and the psychometric prosperities of the SCAN to detect changes in a wide variety of neuropsychiatric disorders have been supported    in      several      studies      (Forsell,      2005; Krisanaprakornkit et al., 2006, 2007; Piyavhatkul et al., 2008; Schutzwohl et al., 2007). To assess the subjects the interviewer conducts a semi-structured, standardized clinical interview. The order in which the sections are completed depends on the most important symptoms of the respondent. This lack of a fixed order makes it very flexible and versatile. Rating is done on the basis of matching the answers of the respondent against the definitions of the symptoms in the SCAN glossary (Wing et al., 1998). In the current study we used the depression section (6th section) in the manual. After completing the interview the data were entered into the laptop version of SCAN "Ishell". Subsequently the data were fed into algorithms for ICD-10 and DSM-IV diagnoses. These algorithms produce a diagnostic classification for depression and a list of symptoms. The severity of the condition is classified as mild, moderate or severe.

Procedures

At time 1 participants completed online versions of the ZDS-SF and PHQ sequentially and, together with demographic details. Participants meeting the study inclusion criteria and agreeing to follow-up clinical interview were offered a choice of interview dates (median follow-up 15 days). The diagnostic interviews (SCAN) were administered at time 2 in a quiet studio. Interviews ranged between 40 to 80 min in duration, with an average of 60 min. All diagnostic interviews were administered by the same trained and reliable clinician (AKI) who was blind to participants’ time 1 ZDS scores. Immediately after the SCAN interview, participants were asked to complete the online version of ZDS-SF followed by the online PHQ.

Statistical analysis

A Kappa analysis (Cohen, 1960) was conducted to explore the degree of agreement between the ZDS-SF and PHQ and SCAN (concurrent validity). According to Fleiss a kappa over 0.75 is considered as excellent, 0.40 to 0.75 as fair to good, and below 0.40 as poor (Fleiss, 1981). Sensitivity and specificity and other validity measures were also calculated. All analyses were carried out using STATA version 10.1 software (STATA, 2008).

Ethical considerations

This study received approval from the Medical School Ethics Committee of Nottingham University

Ref. No. N/9/2008 as a compensation each student participated in was offered a £10 gift voucher for a local department store. A signed written consent was obtained before starting the interview. If the student was

Table 1. Description of the interviewed students.

 

N = 20 (%)

Age group

20y or less

10 (50)

More than 20y

10 (50)

Sex

Male

10 (50)

Female

10 (50)

Faculty

Arts

1 (5)

Social Sciences

3 (15)

Science

7 (35)

Medicine

9 (45)

Year of study

1st

11 (55)

2nd

4 (20)

3rd

3 (15)

4th or more

2 (10)

Father’s occupation

Never worked/unemployed

3 (15)

Intermediate occupations

8 (40)

Managerial/professional occupations

9 (45)

Mother’s occupation

Never worked/unemployed

5 (25)

Intermediate occupations

9 (45)

Managerial/professional occupations

6 (30)

Father’s education

No higher education

7 (35)

Higher education

13 (65)

Mother’s education

No Higher education

10 (50)

Higher education

10 (50)

FAS

Low

2 (10)

Medium

6 (30)

High

12 (60)

SCAN diagnosis

Mild depressive disorders

4 (20)

Moderate depressive disorders

1 (5)

Alcohol dependence

2 (10)

Anxiety

1 (5)

Obsessive compulsive disorders

1 (5)

diagnosed by SCAN as depressed, an e-mail was sent directing the participant to contact his or her GP, NHS direct, the University Counseling Services or the researcher to make the necessary arrangements.

RESULTS

Description of the interviewed sample

Detailed socio-demographic characteristics of the sample are shown in Table 1. Males and females were equally represented in the sample and there was a reasonable range in terms of socio-economic background. The age of the students sampled ranged from 18 to 34 with a mean (SD) of 20.7 years (6.9). There was an equal distribution in the mother’s educational levels, but fathers were more likely to have higher education. Additionally, parental occupational distribution was more or less equal. As expected the majority of students (60%) were in the high affluent group as measured by the family affluence scale (Boyce et al., 2006) (Table 1).

SCAN diagnoses of the 20 interviewees

The prevalence of psychiatric disorders in the current sample at time 2 as ascertained by the clinical interview

Table 2. SCAN Diagnoses of the 20 interviewees and socio-demographic variables, ZDS and PHQ-9 scores.

SN

SCAN diagnosis

Age

Sex

FAS

ZDS score

PHQ-9 score

1

Mild Depressive Episode

19

Female

High

12

4

2

NO

19

Female

High

7

3

3

NO

21

Female

Medium

4

4

4

NO

19

Male

High

6

2

5

NO

19

Female

Low

8

3

6

Obsessive Compulsive Disorders

34

Female

Medium

4

0

7

NO

19

Male

High

9

2

8

NO

19

Male

Medium

6

3

9

Mild depressive episode and  alcohol dependence

18

Male

High

18

7

10

NO

18

Male

High

0

3

11

NO

26

Female

Low

9

2

12

NO

23

Male

High

4

0

13

Anxiety disorders

26

Female

Medium

17

14

14

NO

21

Male

High

2

2

15

Alcohol dependence

47

Male

Medium

8

1

16

NO

20

Female

High

0

4

17

NO

19

Male

High

5

1

18

Moderate depressive episode

50

Male

High

28

18

19

Mild depressive episode

30

Female

Medium

17

4

20

Mild depressive episode

23

Female

High

19

10

was 40% (95% CI; 38.9-40.4) (n=8). The most common SCAN diagnosis in the interviewed students was depressive disorder (n=5), alcohol dependence (n=2), anxiety and obsessive compulsive disorders (n=1). One student had minor depressive disorder and alcohol abuse Table 2 shows the detailed description of the 20 interviewed students regarding their SCAN diagnosis, socio-demographic characters and their ZDS and PHQ-9 scores. 

ZDS-SF reliability and validity

Depression scores

The mean ZDS-SF score for the 20 participants at time 1 was 11.80, (SD = 4.3). The 5% trimmed mean was 11.17, only 0.63 below the sample mean. Scores were essentially normally distributed (Skewness (SE) = 0.82 (0.36), Kurtosis (SE) = 0.94 (0.57)); with a median score of 8.5. Five participants (25%) scored above the cut-off for depression on the ZDS-SF at time 1, all of whom were later classified as cases of depression by the SCAN clinical interview at two-week follow-up (100% agreement, Kappa = 1). At time 2 the mean ZDS-SF score was 14.62, (SD = 4.5). The 5% trimmed mean was 14.36, only 0.26 below the sample mean. Scores were also normally distributed (Skewness (SE) = 0.69 (0.23), Kurtosis (SE) = 0.72 (0.47)); with a median score of 15. Of the 20 participants, six (30%) scored above the cut-off for depression on the ZDS-SF at time 2. A quarter of the total sample (n=5) was diagnosed as depressed using the SCAN diagnostic classification. Four were classified as having mild depression and one was classified as moderate depression.

Concurrent validity

There was a strong positive correlations between ZDS-SF scores at time 2 and SCAN diagnostic symptom scores (Spearman’s Rho = 0.88, p < 0.001). There was agreement between ZDS-SF and SCAN on whether the participant was depressed or not depressed for 95% of cases. In only one case (5%) participants were classified as depressed by the ZDS-SF (symptom score = 18) and not by the SCAN. The resulting Kappa score (0.89) indicates excellent agreement (p < 0.001) (Table 3). The sensitivity of the ZDS-SF was 100% and the specificity was 93.3% giving an overall positive predictive value of 83.3%. For the PHQ there was a moderate positive correlation between PHQ scores at time 2 and SCAN diagnostic results (Spearman’s rho = 0.54, p < 0.001) with lower sensitivity and specificity (Table 4).

Reliability

The time interval between the test and the retest ranged from 10 to 30 days with a mean of 17 ± 5.5 days (median

Table 3. Agreement between ZDSSF, PHQ, and SCAN.

 

ZDS-SF*

PHQ*

Total (%)

Not depressed (%)

Depressed (%)

Not depressed (%)

Depressed (%)

SCAN

Not depressed

14 (70)

1 (5)

14 (70)

1 (5)

15 (75)

Depressed

0 (0)

5 (20)

2 (10)

3 (15)

5 (25)

Total

14 (70)

6 (30)

16 (80)

4 (20)

20 (100)

*ZDS-SF cutoff ≥ 10, PHQ cutoff ≥ 5.

Table 4. Other validity measures for ZDS-SF vs. PHQ and SCAN.

 

Vs. PHQ

Vs. SCAN

Sensitivity

100%

100%

Specificity

87.5%

93.3%

Positive predictive value (PPV)

66.6%

83.3%

Negative predictive value (NPV)

100%

100%

False positive rate (FPR)

12.5%

6.7%

False negative rate (FNR)

0%

0%

Positive likelihood ratio (LR+)

8

14.9

Negative likelihood ratio (LR-)

0

0

Accuracy

90%

95%

Power

1

1

False discovery rate (FDR)

33.3%

16.7%

Kappa

0.74

0.89

15 days, IQR range 12 to 27 days). The 43-item version ZDS had good response stability over about two weeks interval (n=20, Spearman’s correlation = 0.72; intra-class correlation coefficient (ICC) = 0.66 (95% CI=0.58-0.69). Depression scores increased over time from a mean of 11.8 (± 4.3) at time one to 14.6 (± 4.5) at time two, (t = 3.7, df = 38, p < 0.001). The internal consistency of the ZDS-SF was very good for both test and retest (Cronbach’s alphas 0.88 and 0.89 respectively).

DISCUSSION

The current study found that ZDS-SF had good response stability over two week interval (ICC = 0.66). There was an excellent agreement between ZDS-SF and SCAN on whether the participant was depressed or not depressed for 95% of cases (Kappa = 0.89). The ZDS-SF showed a good sensitivity and specificity (100 and 93%), with a positive predictive value of 83%.

The completion of self-rated depression scales needs a good level of education, co-operation of the respondents and may be more likely to be affected by cultural bias or illness presentation. But, they are cost-effective in time and resources especially in case of mass screening surveys (Jenkins and Dillman, 1995). On the other hand, clinical interview is considered the gold standard for depression diagnosis as it is more objective than subjective and it is carried out by well-trained physicians who can rate the symptoms accurately. However it is time consuming and costly (Wing et al., 1990). The aforementioned highlights the importance of validating self-rating scales using a gold-standard clinical interview (for example, SCAN). It has been proposed that ZDS-SF is a relatively constant over two week period. Thus, test robustness can be measured over a relatively short time (Ibrahim et al., 2011a).

As predicted the result of the test-retest reliability was moderate because ZDS-SF scale was primarily intended to measure current mental state (over the past two weeks). Symptoms are expected to change over time but these changes are more likely to be cyclic in some individuals. Moreover, test-retest analysis has some methodological bias that is, time interval was variable and totally dependent on the participant’s availability. It has been assumed that shorter intervals will produce higher correlations than longer intervals. If there was more information about what happened to participants during the time interval then the test results should be better differentiated.   In   particular,   adverse   life events   are expected to introduce variability in the mood profile of participants and thus modify the test outcome (Valentin et al., 2002).

The concurrent validity of the scale was tested against the PHQ and the SCAN. ZDS-SF scores were strongly correlated with both PHQ scores and SCAN diagnostic results (rs = 0.76, p < 0.001 and rs = 0.88, p < 0.001 respectively). Also, using the Kappa analysis, ZDS-SF demonstrated a very good agreement with the SCAN (0.89, p < 0.001) which is a ‘gold standard’. This was stronger than the agreement with PHQ (0.74, p < 0.001). Additionally, ZDS-SF as a screening tool for depression was tested against the SCAN and showed 100% sensitivity, nearly 93% specificity, and an overall accuracy of 95%. The SCAN interview probes persistent symptoms experienced over the past month which explains the perfect agreement between the ZDS-SF classification of depression at time 1 and the clinical diagnosis of depression two weeks later, providing further evidence of the ZDS-SF validity. 

This was in accordance with other studies; in general population studies where the validity of the ZDS-SF has been examined against the HDRS which found that it was a valid measure and could be used as a useful screening measure for both clinical and research studies (Fawzi et al., 1982; Fawzy, 1982; Shaheen and Fawzi, 1985). Moreover, in two student sample studies the ZDS-SF was tested against PHQ revealing good concurrent validity against this well-established screening tool (Ibrahim et al., 2010, 2011a). These results demonstrated that ZDS-SF is good screening tool for depression in university students. Although longer than the PHQ we believe that the more comprehensive and the wider range of symptom domains assessed makes it particularly useful for screening for emotional difficulties in well-educated populations across both developed and developing countries.

The strength of the present study was the use of a well validated self-administered scale (PHQ) in addition to a gold-standard depression semi-structured interview (SCAN), administered blind to ZDS-SF scores, in order to validate the ZDS-SF. However the study encountered the following limitations; the small number of participants (n=20), and the use of a convenience approach for student recruitment.

In conclusion, ZDS-SF scale is a valid measure of depression with very good psychometric properties in a university student cohort. Further research is planned to establish the psychometric properties of the ZDS-SF in a Chinese student population.

ACKNOWLEDGEMENTS

The authors are very grateful for the Ministry of Higher Education,    Egyptian    Government    specially    Assiut University for sponsoring my whole studies. It is a pleasure to express my deepest gratitude and grateful appreciation to the University of Nottingham for supporting this study. Last but not least, my special thanks and gratitude to the students who took part in this study. It would not have been possible without their help.

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Shona. J. Kelly and Cris Glazebrook, Ahmed. K. Ibrahim

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