Depressive disorder and grief following spontaneous abortion.

BACKGROUND: Abortion is associated with moderate to high risk of psychological problems such as depression, use of alcohol or marijuana, anxiety, depression and suicidal behaviours. The increased risk of depression after spontaneous abortion in Asian populations has not been clearly established. Only a few studies have explored the relationship between grief and depression after abortion. METHODS: A study was conducted to assess the prevalence and risk factors of depressive disorder and complicated grief among women 6-10 weeks after spontaneous abortion and compare the risk of depression with pregnant women attending an antenatal clinic. Spontaneous abortion group consisted of women diagnosed with spontaneous abortion by a Consultant Obstetrician. Women with confirmed or suspected induced abortion were excluded. The comparison group consisted of randomly selected pregnant, females attending the antenatal clinics of the two hospitals. Diagnosis of depressive disorder was made according to ICD-10 clinical criteria based on a structured clinical interview. This assessment was conducted in both groups. The severity of depressive symptoms were assessed using the Patients Health Questionnaire (PHQ-9). Grief was assessed using the Perinatal Grief Scale which was administered to the women who had experienced spontaneous abortion. RESULTS: The sample consisted of 137 women in each group. The spontaneous abortion group (mean age 30.39 years (SD = 6.38) were significantly older than the comparison group (mean age 28.79 years (SD = 6.26)). There were more females with ≥10 years of education in the spontaneous abortion group (n = 54; SD = 39.4) compared to the comparison group (n = 37; SD = 27.0). The prevalence of depression in the spontaneous abortion group was 18.6 % (95 CI, 11.51-25.77). The prevalence of depression in the comparison group was 9.5 % (95 CI, 4.52-14.46). Of the 64 women fulfilling criteria for grief, 17 (26.6 %) also fulfilled criteria for a depressive episode. The relative risk of developing a depressive episode after spontaneous abortion was significantly higher than in females with a viable pregnancy (RR = 2.19, 95 % CI, 1.05 to 4.56). After adjustment for age and period of amenorrhoea, the difference was not significant. Prevalence of complicated grief was 54.74 % (95 % CI, 46.3-63.18). CONCLUSION: The relative risk of developing a depressive episode after spontaneous abortion was not significantly higher compared to pregnant women after taking into account age and period of amenorrhoea (POA). Almost half the women developed complicated grief after spontaneous abortion. Of these, a significant proportion also had features of depressive disorder.

Depressive disorder in patients attending the outpatient department of a tertiary care hospital in Colombo.

INTRODUCTION: Lifetime prevalence of depression varies across countries and different populations. Depression is a common comorbidity of physical illness. Patients with depression are known to present with somatic symptoms. Depression is under-diagnosed in primary care settings. Objectives To estimate the prevalence of depression in patients attending the outpatient department (OPD) of a tertiary care hospital in the Western Province of Sri Lanka. METHODS: A cross-sectional descriptive study was conducted in the OPD of the National Hospital of Sri Lanka (NHSL). Sample size was 205. Every fifth patient aged between 18 and 60 years who attended the OPD was recruited until the required number was met. Centre for Epidemiologic Studies Depression Scale (CES-D) was used to identify depression. RESULTS: There were 114 (55.6%) females. Mean age was 50 years (SD 13.68).Overall prevalence of depression in the sample was 22.4% (95% CI 16.68-28.20). Prevalence of depression was higher among females 25.4% (95% CI 17.32-33.56) than in males 18.7% (95% CI 10.52- 26.84). Prevalence of severe depression was 15.1% (95% CI 10.18-20.07). Adjusted odds ratios showed that pain related presenting complaints were significantly associated with depression [adjusted OR 1.99 (95% CI 1.01-3.96)]. CONCLUSIONS: Prevalence of depression in outpatients is similar to that reported in other parts of the world. None of the patients with depression presented seeking help for depressive symptoms.

Validation of the Sinhala version of the Pittsburgh Sleep Quality Index.

INTRODUCTION: Pittsburg Sleep Quality Index (PSQI) is a widely used standardized instrument to assess sleep quality in clinical and research settings. Objective of the study was to translate the PSQI into Sinhala language and validate using a combined qualitative and quantitative approach. METHODS: Every fifth patient aged 18-60 years who attended the out-patients department of a tertiary care hospital was recruited. PSQI was translated into Sinhala using a combined qualitative and quantitative approach. Internal consistency was measured using Cronbach's alpha. Construct validity was assessed by comparing the scores in patients who were identified as having depressive disorder according to the Centre for Epidemiologic Studies Depression Scale (CES-D) and those without depressive disorder. RESULTS: Forty-six participants with depression were compared with 159 non depressed controls. Mean PSQI component scores were significantly higher in depressed patients in 5 components. Factor analysis identified a single component explaining 53.53% of the variance. Cronbach's alpha of 0.85 indicated a high internal consistency. CONCLUSIONS: The Sinhala translation of the PSQI is a valid and reliable tool to assess sleep quality.

Major depressive disorder in Parkinson's disease: a cross-sectional study from Sri Lanka.

BACKGROUND: Depression is common in Parkinson's disease (PD), and has a significant impact on the functional level of those affected. It is well studied in Western populations but data from Asia is limited. This study aims to estimate the prevalence of depression among PD patients attending a tertiary care outpatient clinic in Sri Lanka and identify potential risk factors. METHODS: One hundred and four consecutive idiopathic PD patients as defined by the United Kingdom Parkinson's Disease Society Brain Bank Diagnostic Criteria were recruited to the study. An interviewer administered questionnaire, the Hoehn-Yahr staging scale and the Schwab-England Activities of Daily Living Scale (SEADL) were used for assessment. Depression was diagnosed through a semi-structured clinical interview based on DSM-IV-TR criteria and all subjects were rated with the Montgomery-Asberg Depression Rating Scale (MADRS). RESULTS: The prevalence of depression in the study population was 37.5%. Among the depressed 12 (30.8%) had mild depression, 21 (53.8%) moderate depression and 6 (15.4%) had severe depression. Depression was significantly associated with the stage of PD, functional impairment, civil status, educational level, caregiver dependence and concomitant diabetes mellitus. CONCLUSION: A significant proportion of PD patients suffers from depression. The prevalence rate of depression in the sample was similar to that reported in previous studies. Depression in PD is significantly associated with functional impairment.

Antipsychotic medication and tobacco use among outpatients with schizophrenia: a cross-sectional study.

BACKGROUND: Many studies have shown that the prevalence of smoking in schizophrenia is higher than in the general population. Biological, psychological and social factors influence smoking in patients with schizophrenia. METHODS: The study was carried out in psychiatry outpatient clinics in a tertiary care hospital in Sri Lanka. Every third patient was selected using systematic sampling from patients diagnosed with schizophrenia according to ICD-10 clinical criteria. Smoking behaviours were assessed using self-reports. Severity of illness was assessed using Brief Psychiatric Rating Scale (BPRS). Fagerstrom Test for Nicotine Dependence assessed level of dependence. Readiness to Change Questionnaire assessed motivation to change smoking behaviour. RESULTS: The sample consisted of 306 patients with schizophrenia. Mean age was 38.93 years (SD 10.98). There were 148 males (48.4%). Mean duration of illness was 12.63 years (SD 8.38). Current medication was oral atypical antipsychotics 103, clozapine 136, oral typicals 29 and depot typicals 38. Prevalence of tobacco use among males was 30.41% (95% CI 22.91 to 37.90) and among females 1.90% (95% CI -0.25 to 4.05). Prevalence of current smoking among males was 20.27% (95% CI 13.72 to 26.82). None of the females smoked. Prevalence of smokeless tobacco use among males was 10.14 (95% CI 5.22 to 15.05) and among females 1.90 (95% CI -0.03 to 4.05). When patients treated with clozapine were excluded from the analysis, prevalence of tobacco use was 41.6% among males and 3.2% among females and prevalence of smoking was 29.9% among males. Prevalence of tobacco use was lowest in patients treated with clozapine 18.31 (95% CI 9.09 to 27.53) and highest in those treated with depot antipsychotics 47.83 (95% CI 25.74 to 69.91). CONCLUSIONS: Prevalence of smoking was less than in many countries. This is influenced by prevalence in the general population and low affordability. Risk of tobacco use was significantly less among patients treated with clozapine.

Fatigue symptoms in Sri Lanka Navy personnel deployed in combat areas.

OBJECTIVES: The objective was to study the prevalence of fatigue symptoms among Special Forces and regular forces military personnel deployed in combat areas and to explore factors associated with fatigue symptoms. METHODS: This is a cross sectional study of representative samples of Sri Lanka Navy Special Forces and regular forces deployed in combat areas continuously for at least one year. Fatigue was measured using a 12 item fatigue scale. Symptoms of common mental disorder were identified using the General Health questionnaire 12 (GHQ-12). Multiple physical symptoms were elicited using a checklist of symptoms. PTSD was diagnosed using the 17-item National Centre for PTSD checklist civilian version (PCL-C). RESULTS: Sample consisted of 259 Special Forces and 412 regular navy personnel. Prevalence of fatigue over the last month was 13.41% (95% CI 10.83-16.00). Prevalence was significantly less in the Special Forces (5.4%) than in the regular forces (18.4%) [OR 0.38 (95% CI 0.17-0.82)]. Only two types of combat exposure "thought I might be killed" and "coming under mortar, missile and artillery fire" were significantly associated with fatigue symptoms. Fatigue was strongly associated with symptoms of common mental illness [adjusted OR 12.82 (95% CI 7.10-23.12)], PTSD [adjusted OR 9.08 (95% CI 2.84-29.0)] and multiple somatic symptoms [adjusted OR 9.85 (95% CI 5.42-17.9)]. Fatigue was significantly associated with functional impairment. CONCLUSIONS: Prevalence of fatigue was significantly lower in the Special Forces despite high combat exposure. Fatigue was associated only with indicators of intense combat exposure. Fatigue caused significant functional impairment even after adjusting for psychological morbidity.

Genotyping SNPs and Indels: A method to improve the scope and sensitivity of High-Resolution melt (HRM) analysis based applications.

High-resolution melt (HRM) analysis is a closed-tube technique for detecting single nucleotide polymorphisms (SNPs). However, it has limited use in high-resolution melting devices, even those with high thermal accuracy (HTA). In addition to the cost of switching to these specialized devices, the presence of nearest neighbour neutral changes (class III, IV SNPs and small indels) made HRM-based assays a challenging task due to reduced sensitivity. This study aimed to design a common modified competitive amplification of differently melting amplicons (CADMA)-based assay to address these challenges by generating allele-specific qPCR products that are detectable on most qPCR platforms. For this study, SNPs were selected from all four classes of SNPs (class I: C/T or G/A mutation; class II: C/A or G/T mutation; class III: G/C mutation; class IV: A/T mutation). A single base pair and 19 bp indels were also chosen to simulate how CADMA primers could be designed for indels of varying lengths. The melting temperatures (Tm) were determined using IDT oligoAnalyzer. qPCR and melt data acquisition were performed on the CFX96 qPCR platform, and the melt curve data were analyzed using Precision Melt software (Bio-Rad, USA). The clusters for different genotypes were successfully identified with the aid of the control samples, and Tm predictions were carried out using the uMelt batch and Tm online tools for comparison. Using HRM-qPCR assays based on the modified CADMA method, genotyping of various SNPs was successfully carried out. For some SNPs, similarly shaped melt curves were observed for homozygotes and heterozygotes, making shape-based genotype prediction difficult. The Tm values calculated via the Blake and Delcourts (1998) method were the closest to the experimental Tm values after adjusting for the salt concentration. Since HRM assays usually depend on the ΔTm caused by mutations, they are prone to a high error rate due to nearest neighbour neutral changes. The technique developed in this study significantly reduces the failure rates in HRM-based genotyping and could be applied to any SNP or indel in any platform. It is crucial to have a deep understanding of the melt instrument, its accuracy and the nature of the target (SNP class or indel length and GC content of the flanking region). Furthermore, the availability of controls is essential for a high success rate.

Multiple physical symptoms in a military population: a cross-sectional study.

BACKGROUND: Medically unexplained symptoms have been reported among both civilians and military personnel exposed to combat. A large number of military personnel deployed to the Gulf War in 1991 reported non-specific symptoms. These symptoms did not constitute a clearly defined syndrome. Post-traumatic stress disorder (PTSD) and to a lesser degree exposure to combat are associated with physical symptoms. METHODS: This is a cross-sectional study of representative samples of Sri Lanka Navy Special Forces and regular forces deployed in combat areas continuously during a 1-year period. Multiple physical symptoms were elicited using a checklist of 53 symptoms. Cases were defined as individuals with ten or more symptoms. Symptoms of common mental disorder were identified using the General Health Questionnaire 12 (GHQ-12). PTSD was diagnosed using the 17-item National Centre for PTSD checklist civilian version. RESULTS: Prevalence of multiple physical symptoms was 10.4% (95% CI 8.11-12.75). Prevalence was significantly less in the Special Forces (5.79%) than in the regular forces (13.35%). The mean number of symptoms reported by those who met the criteria for PTSD was 12.19 (SD 10.58), GHQ caseness 7.87 (SD 7.57) and those without these conditions 2.84 (SD 3.63). After adjusting for socio-demographic and service variables, 'thought I might be killed' , 'coming under small arms fire' , and 'coming under mortar, missile and artillery fire' remained significant. Multiple physical symptoms were associated with functional impairment and poor perceived general health. CONCLUSIONS: Prevalence of multiple physical symptoms was significantly lower in the Special Forces despite high exposure to potentially traumatic events. More multiple physical symptoms were reported by personnel with PTSD and common mental disorders. Multiple physical symptoms were associated with functional impairment.

From pesticides to medicinal drugs: time series analyses of methods of self-harm in Sri Lanka.

OBJECTIVE: To explore if recent changes in methods of self-harm in Sri Lanka could explain the decline in the incidence of suicide. METHODS: Time series analyses of suicide rates and hospitalization due to different types of poisoning were carried out. FINDINGS: Between 1996 and 2008 the annual incidence of hospital admission resulting from poisoning by medicinal or biological substances increased exponentially, from 48.2 to 115.4 admissions per 100,000 population. Over the same period, annual admissions resulting from poisoning with pesticides decreased from 105.1 to 88.9 per 100,000. The annual incidence of suicide decreased exponentially, from a peak of 47.0 per 100,000 in 1995 to 19.6 per 100,000 in 2009. Poisoning accounted for 37.4 suicides per 100,000 population in 1995 but only 11.2 suicides per 100,000 in 2009. The case fatality rate for pesticide poisoning decreased linearly, from 11.0 deaths per 100 cases admitted to hospital in 1997 to 5.1 per 100 in 2008. CONCLUSION: Since the mid 1990s, a trend away from the misuse of pesticides (despite no reduction in pesticide availability) and towards increased use of medicinal and other substances has been seen in Sri Lanka among those seeking self-harm. These trends and a reduction in mortality among those suffering pesticide poisoning have resulted in an overall reduction in the national incidence of accomplished suicide.

Direct and indirect cost of schizophrenia in outpatients treated in a tertiary care psychiatry unit.

OBJECTIVE: To estimate the direct and indirect cost of care incurred by patients with schizophrenia attending a tertiary care psychiatry unit in Colombo. METHODS: Study was carried out at the National Hospital of Sri Lanka. Systematic sampling selected every second patient with an ICD-10 clinical diagnosis of schizophrenia presenting to the clinic during a two month period. Investigator administered semi-structured questionnaire was used for data collection. RESULTS: Sample consisted of 91 patients. Direct cost was defined as cost incurred by the patient (out of pocket expenditure) for outpatient care. Mean cost of a clinic visit was Rs. 500. Of the clinic visit cost, highest proportions were travel cost (39.8%) and medication (26.4%). Sixty four (70.3%) had received informal care. The mean cost of informal care during the entire course of the illness was Rs. 33, 540. Mean indirect cost was Rs. 150,190. CONCLUSIONS: Despite low direct cost of care, indirect cost and cost of informal treatment results in substantial economic impact on patients and their families. It is recommended that economic support should be provided for patients with disabling illnesses such as schizophrenia, especially when patients are unable to engage in full time employment. There is a need to educate the public regarding higher cost of care by traditional healers and other informal modes of treatment compared to Western medical care.

Signs and symptoms of acute mania: a factor analysis.

BACKGROUND: The major diagnostic classifications consider mania as a uni-dimensional illness. Factor analytic studies of acute mania are fewer compared to schizophrenia and depression. Evidence from factor analysis suggests more categories or subtypes than what is included in the classification systems. Studies have found that these factors can predict differences in treatment response and prognosis. METHODS: The sample included 131 patients consecutively admitted to an acute psychiatry unit over a period of one year. It included 76 (58%) males. The mean age was 44.05 years (SD = 15.6). Patients met International Classification of Diseases-10 (ICD-10) clinical diagnostic criteria for a manic episode. Patients with a diagnosis of mixed bipolar affective disorder were excluded. Participants were evaluated using the Young Mania Rating Scale (YMRS). Exploratory factor analysis (principal component analysis) was carried out and factors with an eigenvalue > 1 were retained. The significance level for interpretation of factor loadings was 0.40. The unrotated component matrix identified five factors. Oblique rotation was then carried out to identify three factors which were clinically meaningful. RESULTS: Unrotated principal component analysis extracted five factors. These five factors explained 65.36% of the total variance. Oblique rotation extracted 3 factors. Factor 1 corresponding to 'irritable mania' had significant loadings of irritability, increased motor activity/energy and disruptive aggressive behaviour. Factor 2 corresponding to 'elated mania' had significant loadings of elevated mood, language abnormalities/thought disorder, increased sexual interest and poor insight. Factor 3 corresponding to 'psychotic mania' had significant loadings of abnormalities in thought content, appearance, poor sleep and speech abnormalities. CONCLUSIONS: Our findings identified three clinically meaningful factors corresponding to 'elated mania', 'irritable mania' and 'psychotic mania'. These findings support the multidimensional nature of manic symptoms. Further evidence is needed to support the existence of corresponding clinical subtypes.

Antipsychotic-associated weight gain: management strategies and impact on treatment adherence.

Antipsychotic-induced weight gain is a major management problem for clinicians. It has been shown that weight gain and obesity lead to increased cardiovascular and cerebrovascular morbidity and mortality, reduced quality of life and poor drug compliance. This narrative review discusses the propensity of various antipsychotics to cause weight gain, the pharmacologic and nonpharmacologic interventions available to counteract this effect and its impact on adherence. Most antipsychotics cause weight gain. The risk appears to be highest with olanzapine and clozapine. Weight increases rapidly in the initial period after starting antipsychotics. Patients continue to gain weight in the long term. Children appear to be particularly vulnerable to antipsychotic-induced weight gain. Tailoring antipsychotics according to the needs of the individual and close monitoring of weight and other metabolic parameters are the best preventive strategies at the outset. Switching to an agent with lesser tendency to cause weight gain is an option, but carries the risk of relapse of the illness. Nonpharmacologic interventions of dietary counseling, exercise programs and cognitive and behavioral strategies appear to be equally effective in individual and group therapy formats. Both nonpharmacologic prevention and intervention strategies have shown modest effects on weight. Multiple compounds have been investigated as add-on medications to cause weight loss. Metformin has the best evidence in this respect. Burden of side effects needs to be considered when prescribing weight loss medications. There is no strong evidence to recommend routine prescription of add-on medication for weight reduction. Heterogeneity of study methodologies and other confounders such as lifestyle, genetic and illness factors make interpretation of data difficult.

Metformin for treatment of antipsychotic-induced weight gain in a South Asian population with schizophrenia or schizoaffective disorder: A double blind, randomized, placebo controlled study.

BACKGROUND: Antipsychotic-induced weight gain causes serious health problems. We investigated the efficacy and safety of metformin in treating antipsychotic-induced weight gain in South Asian patients. METHODS: Sixty six adult patients with schizophrenia or schizoaffective disorder treated, with atypical antipsychotics, and who had increased by more than 10% their pre treatment body weight, were randomly assigned to receive metformin or placebo in a double-blind study. Patients received usual treatment and metformin 500 mg or placebo twice daily for 24 weeks. The primary outcome measure was change in body weight from baseline to week 24. Linear mixed models were used in the analysis. RESULTS: Mean change in body weight in the metformin group was -1.56 kg (95% CI=-3.06 to -0.05) and 1.0 kg (95% CI=0.03-1.97) in the placebo group. Between-group difference was 2.56 kg. At 24 weeks the between-group difference showed significant time-by-treatment interaction (F=3.23, p=0.004). Between-group difference in BMI showed significant time-by-treatment interaction (F=3.41 p=0.03). There was no significant difference in waist-hip ratio or fasting blood sugar. CONCLUSIONS: Metformin is effective in reducing weight in South Asian patients with schizophrenia or schizoaffective disorder who had increased their body by more than 10% after treatment with atypical antipsychotics.

The Validity and Reliability of the Sinhala Translation of the Patient Health Questionnaire (PHQ-9) and PHQ-2 Screener.

The Patient Health Questionnaire (PHQ-9) was adapted and translated into Sinhala. Sample consisted of 75 participants diagnosed with MDD according to DSM-IV criteria and 75 gender matched controls. Concurrent validity was assessed by correlating total score of PHQ-9 with that of Centre for Epidemiological Studies Depression Scale (CESD). The Structured Clinical Interview for DSM-IV (SCID-II) conducted by a psychiatrist was the gold standard. Mean age of the sample was 33.0 years. There were 91 females (60.7%). There was significant difference in the mean PHQ-9 scores between cases (14.71) and controls (2.55) (P < 0.001). The specificity of the categorical algorithm was 0.97; the sensitivity was 0.58. Receiver operating characteristic (ROC) analysis found that cut-off score of ≥10 had sensitivity of 0.75 and specificity of 0.97. The area under the curve (AOC) was 0.93. The sensitivity of the two-item screener (PHQ-2) was 0.80 and the specificity was 0.97. Cronbach's alpha was 0.90. The PHQ-9 is a valid and reliable instrument for diagnosing MDD in a non-Western population. The threshold algorithm is recommended for screening rather than the categorical algorithm. The PHQ-2 screener has good sensitivity and specificity and is recommended as a quick screening instrument.

Mental health status of Sri Lanka Navy personnel three years after end of combat operations: a follow up study.

The main aim of this study was to assess the mental health status of the Navy Special Forces and regular forces three and a half years after the end of combat operations in mid 2009, and compare it with the findings in 2009. This cross sectional study was carried out in the Sri Lanka Navy (SLN), three and a half years after the end of combat operations. Representative samples of SLN Special Forces and regular forces deployed in combat areas were selected using simple random sampling. Only personnel who had served continuously in combat areas during the one year period prior to the end of combat operations were included in the study. The sample consisted of 220 Special Forces and 275 regular forces personnel. Compared to regular forces a significantly higher number of Special Forces personnel had experienced potentially traumatic events. Compared to the period immediately after end of combat operations, in the Special Forces, prevalence of psychological distress and fatigue showed a marginal increase while hazardous drinking and multiple physical symptoms showed a marginal decrease. In the regular forces, the prevalence of psychological distress, fatigue and multiple somatic symptoms declined and prevalence of hazardous drinking increased from 16.5% to 25.7%. During the same period prevalence of smoking doubled in both Special Forces and regular forces. Prevalence of PTSD reduced from 1.9% in Special Forces to 0.9% and in the regular forces from 2.07% to 1.1%. Three and a half years after the end of combat operations mental health problems have declined among SLN regular forces while there was no significant change among Special Forces. Hazardous drinking among regular forces and smoking among both Special Forces and regular forces have increased.

Chronic catatonia treated with electroconvulsive therapy: a case report.

INTRODUCTION: In the International Statistical Classification of Diseases and Related Health Problems 10 and Diagnostic and Statistical Manual of Mental Disorders IV classification systems, catatonia is classified as a subtype of schizophrenia. However, catatonia is more frequently associated with mood disorders than schizophrenia. It is also associated with organic conditions. Catatonia responds to treatment with benzodiazepines and electroconvulsive therapy rather than antipsychotics. These features support the categorization of catatonia as an independent syndrome. There is a lack of consensus regarding the definition of chronic catatonia. There are two previous case reports of effective treatment of chronic catatonia with electroconvulsive therapy. CASE PRESENTATION: A 29-year-old South Asian woman was admitted to hospital because of poor food intake. Her condition had progressively worsened over the past seven months. She had features of catatonia. On admission, her Bush-Francis Catatonia Rating Scale score was 24. Her symptoms resolved after the administration of 17 electroconvulsive therapies but recurred later. She was given a further four electroconvulsive therapies. She remains well on aripiprazole at a dose of 60mg a day. CONCLUSIONS: Bilateral electroconvulsive therapy is effective in the treatment of chronic catatonia and should be considered as a treatment option. A relapse of symptoms can occur after the discontinuation of treatment.

Prevalence of major depressive episode among patients with pre-dialysis chronic kidney disease.

OBJECTIVE: To ascertain the prevalence of depression among pre-dialysis chronic kidney disease (CKD) patients. METHODS: A cross-sectional study was carried out using the Structured Clinical Interview for DSM IV (SCID) to detect major depressive episode. Study was carried out in a nephrology outpatient clinic in Sri Lanka. Every fifth patient with CKD diagnosed according to the K/DQOI of the National Kidney Foundation of U.S.A. criteria stages 2-5 not undergoing dialysis was recruited. Primary outcome was major depressive episode diagnosed using the Structured Clinical Interview for DSM disorders (SCID). RESULTS: Sample consisted of 140 patients. Eighty-nine (63.6%) were male. The mean age was 57.9 years (SD = 10.4). Only 41 (29.3%) were in paid employment. Percentage of patients in CKD stages 2, 3, 4, and 5 were 2.9%, 19.6%, 51.4%, and 25%, respectively. Only three patients had diabetes. One hundred and five were on treatment for hypertension. Prevalence of a major depressive episode was 27.9%. Among males, prevalence was 27% (95% CI 17.6-36.3) and among females, 29.4% (95% CI 16.5-42.4). Age, gender, income, employment status, and education were not associated with depression. The only significant variable associated with depression was patient's understanding of prognosis. CONCLUSIONS: Prevalence of major depressive episode among pre-dialysis CKD patients was 27.9%. Rate of depression diagnosed using a structured clinical interview was lower than that reported when screening instruments were used. The only significant variable associated with depression was patient's understanding of prognosis. Future studies should aim to identify risk factors for depression among patients with kidney disease.