A Study of substance abuse among chronic kidney disease patients having psychiatric illness undergoing haemodialysis

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International Journal of Multidisciplinary and Current Research Research Article ISSN: 2321-3124 Available at: http://ijmcr.com A Study of substance among chronic kidney disease patients having psychiatric illness undergoing haemodialysis Vikhram Ramasubramanian 1, R.Ponnudurai 2, P.Soundararajan 3, K.Balakrishnan 4 and B.Srinivasan 5 1 Consultant Psychiatrist, Ahana Hospitals,Madurai, 2 Department of Psychiatry, Professor and HOD of Sri Ramachandra Medical College, Chennai, 3 Department of Nephrology, Professor and HOD of Sri Ramachandra Medical College, 4,5 Department of Psychiatry, Sri Ramachandra Medical College, Chennai. Accepted 20 Sept 2014, Available online 01 Oct 2014, Vol.2 (Sept/Oct 2014 issue) Abstract Objective: The objective of the present study was to explore the study of substance among chronic kidney disease patients having psychiatric illness undergoing haemodialysis. Method: This study enrolled 130 chronic renal disease patients undergoing haemodialysis with Psychiatric morbidity. Psychological characteristics were assessed with the Mini-International Neuropsychiatric Interview, Life Events Scale and Karl Fagerstrom Nicotine Tolerance Questionnaire were used to analyze the models. Results: The male patients diagnosed with psychiatric illness, most (n=28, 21.53%) had a co morbid alcohol in the past and seven male patients (5.38%) did not exhibit co morbid alcohol. On comparing patients with and without psychiatric illness and their alcohol history, there is a significant association (p<.001) between alcohol and psychiatric illness. The mean duration of renal dysfunction [4.36+ 5.28] was compared with mean duration of alcohol [19.76 + 10.53] and it was observed that the difference in mean age is difference is statistically highly significant (p = <0.001).27.69% patients (n=36) had no co morbid tobacco. Three patients (2.3%) reported to be abusing tobacco currently. The mean duration of smoking 21.76 + 10.53 was compared with mean duration of Renal dysfunction [4.36+ 5.28] and it was observed that the difference in mean duration is statistically significant (p = <0.001).On comparing patients with and without psychiatric illness and other substance and their duration, no significant association was found. Conclusion: The prevalence of substance observed in our sample appears to be an important finding which might contribute to evaluate the role in the path physiology of CKD. Keywords: Dialysis, chronic renal failure, psychological factors 1. Introduction Numerous psychiatric issues could be seen in patients with chronic kidney disease (CKD). Haemodialysis is a renal substitution treatment causes different psychiatric issues. Haemodialysis is the most preferred treatment method for CKD. However, it has been insist that a number of restrictions and modifications accompany this treatment, which have a ruinous impact on the quality of patient s life and affect individual s psychological and physical well-being. Chronic kidney disease (CKD) although primarily a physical illness, it has noteworthy psychiatric sequel. Patients in dialysis are incompetently dependent on a dialysis unit and medical professionals [1]. Dialysis as a system is distressing for the patient in the occasion of lacking training and readiness with respect to pre-end-stage renal ailment (ESRD).There is additionally an extensive limitation on the choice of food and liquids. Patients on peritoneal dialysis have some scope with respect to this contrasted with patients on haemodialysis. Patients with renal failure regularly experience the ill effects of numerous other medicinal conditions and are on numerous diverse prescriptions.[2-4] The time of change happens over weeks and months and may be contrasted to a distress response with depressive side effects here and there creating as a major aspect of this technique [5] Daily drinking of 4 or more servings, especially when combined with smoking, was independently associated with increased CKD risk in another American population (defined as estimated glomerular filtration rate [egfr] < 60 ml/min/1.73 m 2 ) [6].Further, alcohol consumption of 30 g or more daily was associated with an increased risk of albuminuria [7]. Consumption of three or more drinks per day was associated with a decreased level of serum creatinine (SCr), but that consumption of two or fewer drinks daily was associated with a higher level of SCr [8]. The patients who are undergoing peritoneal dialysis with 950 Int. J. of Multidisciplinary and Current research, Sept/Oct 2014

a history of smoking have increased morbidity. An aggressive smoking cessation effort by these patients needs to be taken at the earliest [9,10].The severe alcohol predisposes to acute renal failure and seems to be associated with the general catabolic effects [11].The factors associated with CKD in a population-based cohort study with emphasis on smoking and consumption of alcohol. They found that smoking and excessive alcohol consumption, such as consuming of four or more drinks per day, were associated with CKD, despite of several important confounders. The rates of substance disorders and psychotic disorders were higher than community averages, but that was anticipated because of the relationship between the cause of kidney disease and substance and the known prevalence of psychiatric disorders in patients who have ESRD and are treated with Hemodialysis.[12] Materials and Methods All patients who underwent dialysis procedure in Sri Ramachandra Medical Centre during the period January to June 2010. Inclusion criteria Patient who have been diagnosed to have CKD by the nephrologists and are undergoing dialysis in Sri Ramachandra Medical Centre. Either the patient or his relatives who had given informed consent for the study. Exclusion criteria Patient previously diagnosed for mental illness prior to the onset of chronic kidney disease. Patients having mental retardation were excluded. Patient or relatives who refused to give consent to the study. Patient who were dangerously ill and who had very poor medical condition were excluded. Materials Patients and relatives were interviewed in the dialysis unit of Sri Ramachandra Medical Centre. A semi structured proforma was designed for the purpose of the study. It has been utilized to gather information on the demographic details, duration of CKD, Mental illness, past medical and psychiatric history, substance, family history, physical examination, mental status examination, laboratory parameters. M.I.N.I 6.0 was used as a screening tool to diagnose mental illness in those patients. The Mini-International Neuropsychiatric Interview (M.I.N.I.) is a short structured diagnostic interview. Developed jointly by psychiatrists and clinicians in the United States and Europe, it is a screening tool to detect psychiatric illness for DSM-IV psychiatric disorders. With an administration time of approximately 15 minutes, it was designed to meet the need for a short but accurate structured psychiatric interview for multicenter clinical trials and epidemiology studies. Life Events Scale: Adapted from Holmes-Rahe Social Readjustment Rating Scale. This assessment measures the amount of change, using Life Change Units, a person experienced and adjusted to in the previous 12 months. This scale indicates that change in one's life requires an effort to adapt and then an effort to regain stability. This assessment considers only the events that occurred, not individual perception of these events in life. Score of 300+: At risk of illness. Score of 150-299+: Risk of illness is moderate. Score 150-: Only have a slight risk of illness. Karl Fagerstrom Nicotine Tolerance Questionnaire: A 6 item questionnaire which has a total of score of10, it is used to assess the level of nicotine dependence, where 0-3 is low, 4-6 is medium and 6-10 is high dependence [13-18]. Methods Samples were collected from Dialysis Unit, Department of Nephrology, Sri Ramachandra medical centre, Sri Ramachandra University. Those cases which were diagnosed as Chronic Kidney disease were undergoing haemodialysis were included in the study. Informed consent was obtained from the patients or caregivers after explaining the rationale and purpose of the study. Socio-demographic details, duration of CKD, past medical and psychiatric history, substance, family history, physical examination, mental status examination, laboratory and imaging parameters were collected using the semi structured proforma. All patients were administered M.I.N.I international neuropsychiatric interview as a screening tool to evaluate the presence of any psychiatric illness. All patients were administered Life events scale to assess the life change units.patients who had a history of alcohol were administered AUDIT and people who d Tobacco were administered Fagerstrom Tolerance Questionnaire to evaluate the dependence.after diagnosis, patients were further administered individual rating scales based on the symptoms or diagnosis. Statistics All data collected through the proforma and the rating scales were tabulated and analyzed with the help of the university statistician using SPSS (Statistical Package for social Sciences) Statistics 18. Chi square test have been used test the significance of categorical or count data and T-test was used to test the significance of measurement data, Results are presented as mean ± SD throughout the document unless otherwise stated. The default level of significance was set p=0.05. Results and Discussion Alcohol Abuse 951 Int. J. of Multidisciplinary and Current research, Sept/Oct 2014

Table 1: Alcohol & psychiatric illness distributed by gender Alcohol Male Psychiatric illness Female Psychiatric illness Total Chi Square Present Absent Present Absent Yes 1 (0.76%) (0%) (0%) (0%) 1 (0.77%) No 7(5.38%) 32(24.61%)) 16(12.3%) 33(25.38%) 88(67.69%) 21.813.000* Past 28(21.53%) 13 (10%) (0%) (0%) 41(31.54%) Total 36(27.69%) 45(34.61%) 16(12.3%) 33(25.38%) 130(100%) * Significant Table 2: Duration of alcohol and psychiatric illness Duration of Alcohol Present Absent Total <5 years 1 (0.76%) 1 (0.76%) 2 (1.53%) 5-10 years 3 (2.3%) 3 (2.3%) 6 (4.61%) 2.719.437 >10 - <15 years 3 (2.3%) 0 (0%) 3 (2.3%) >15 years 9 (6.92%) 9 (6.92%) 18(13.84%) Total 16 (40%) 13 (60%) 29 (100%) Table 3: Frequency of alcohol and psychiatric illness Frequency of alcohol Present Absent Total Daily 3 (2.3%) 5 (3.84%) 8 (6.15%) 1-2 per week 6 (4.61%) 2 (1.53%) 8 (6.15%) Weekly 2 (1.53%) 4 (3.07%) 6 (4.61%) 4.187.242 Once a Month 5 (3.84%) 2 (1.53%) 7 (5.38%) Total 16 (40%) 13 (60%) 29 (100%) Table 4: Duration of alcohol with duration of renal dysfunction Parameters N Mean [SD] Paired Duration of renal dysfunction 29 4.36+ 5.28 Duration of alcohol 29 19.76 + 10.53-15.39 + 11.82-7.012.000* Table 5: Tobacco & psychiatric illness Tobacco Present Absent Total Yes 3 (2.3%) 1 (0.76%) 4 (3.07%) No 36(27.69%) 61(46.92%) 97(74.61%) 2.660.264 Past 13 (10%) 16 (12.3%) 29 (22.3%) Total 52 (40%) 78 (60%) 130 (100%) 31.54%patients of the total sample (n=41) had a past history of alcohol. One patient continues to alcohol occasionally even after the onset of renal disease. None of the females had history of alcohol. Among the male patients diagnosed with psychiatric illness, most (n=28, 21.53%) had a co morbid alcohol in the past and seven male patients (5.38%) did not exhibit co morbid alcohol. one patient with depression was a current alcohol r. On comparing patients with and without psychiatric illness and their alcohol history, there is a significant association (p<.001) between alcohol and psychiatric illness.(table 1) Majority of the patients with psychiatric diagnosis had history of alcohol for more than 15 years (Table 2). On comparing patients with and without psychiatric illness and their duration and frequency of alcohol, no significant association between the two variables was found (Table 3). The mean duration of Renal dysfunction [4.36+ 5.28] was compared with mean duration of alcohol 952 Int. J. of Multidisciplinary and Current research, Sept/Oct 2014

Table 6: Duration of tobacco & psychiatric illness Duration of Tobacco Present Absent Total <5 years 1 (0.76%) 1 (0.76%) 2 (1.53%) 5-10 years 4 (3.07%) 4 (3.07%) 8 (6.15%) >10 - <15 years 2 (1.53%) 0 (0%) 2 (1.53%) >15 years 9 (6.92%) 12(9.23%) 21(16.15%) Total 16 (40%) 17 (60%) 33 (100%) 2.400.494 Table 7: Duration of smoking and duration of renal dysfunction Parameters N Mean [SD] Paired Duration of renal dysfunction 33 4.23+ 5.28 Duration of smoking 33 21.76 + 10.53-17.52 + 13.08-7.798.000* Table 8: Other substance & psychiatric illness Other substance Present Absent Total Yes 1 (0.76%) 1 (0.76%) 2 (1.53%) No 48(36.92%) 69(53.07%) 117 (90%) Past 3 (2.3%) 8 (6.15%) 11 (8.46%) Total 52 (40%) 78 (60%) 130 (100%).877.645 Table9: Duration of other substance & psychiatric illness Duration of other substance Present Absent Total 5-10 years 1 (0.76%) 1 (0.76%) 2 (1.53%) >10 - <15 years 1 (0.76%) 2 (1.53%) 3 (2.3%) >15 years 2 (1.53%) 6 (4.61%) 8 (6.15%) Total 4 (40%) 9 (60%) 13 (100%).481.786 Table 10: Duration of smoking and duration of renal dysfunction Parameters Duration of renal dysfunction Duration of smoking N 33 33 Mean [SD] 4.23+ 5.28 21.76 + 10.53 Paired -17.52 + 13.08-7.798.000* [19.76 + 10.53] (Table 4) and it was observed that the difference in mean age is difference is statistically highly significant (p = <0.001). Tobacco Abuse 29 patients (22.3%) of the total sample had a past history of tobacco (Table 5). Females did not report to have a history of tobacco. Among the patients diagnosed with psychiatric illness. 27.69% patients (n=36) had no co morbid tobacco. Three patients (2.3%) reported to be abusing tobacco currently. On comparing patients with and without psychiatric illness and their tobacco history, no significant association was found. Comparing patients with and without psychiatric illness and their duration of tobacco, no significant association between the two variables (Table 6) The mean duration of smoking 21.76 + 10.53was compared with mean duration of Renal dysfunction [4.36+ 5.28] (Table 7) and it was observed that the difference in mean duration is statistically significant (p = <0.001). Other Substances No other substance was noticed in majority of the patients with renal dysfunction (n=117, 90%). There was a 953 Int. J. of Multidisciplinary and Current research, Sept/Oct 2014

past history of other substance in 8.46% of patients (n=13) (Table 8). Most of these other substances included beetle nut chewing, Pan Abuse and Mava. No of benzodiazepines, solvents, cannabis, cocaine, opiates, ecstasy and other amphetamines were reported. On comparing patients with and without psychiatric illness and other substance and their duration, no significant association was found (Table 9) Tobacco Abuse 29 patients (22.3%) of the total sample had a past history of tobacco (Table 5). Females did not report to have a history of tobacco. The mean duration of smoking [21.76 + 10.53] was statistically significant (p = <0.001) when compared with the mean duration of renal dysfunction [4.36+ 5.28] [19] (Table 10) Conclusion The prevalence of substance observed in our sample appears to be an important finding which might contribute to evaluate the role in the path physiology of CKD. Further study involving larger sample with cohort study along with additional imaging techniques, genetic studies and CSF studies may unravel the precise causative factors. Such a detailed study would help in identifying preventive aspects of psychiatric problems in patients with CKD. At the same time, intervention and counselling to units staff through educational programs would raise awareness and promote the bio psychosocial approach to the disease and the patient. References [1]. F.Reichsman, N.B.Levy (1972),Adaptation to hemodialysis: A four year study of 25 patients. Arch Intern Med,Vol.138,pp.59-65. [2]. N.B.Levy (1981) Psychological reaction to machine dependency.psychiatrclin North Am.Vol.4,pp.351-63. [3]. A.De Sousa (2008) Psychiatric issues in renal failure and dialysis. Indian J Nephrol. Vol.18,No.2,pp.47-50. [4]. T.Sensky (1989)Cognitive therapy with patients with chronic physical illness. Psychother Psychosom.,Vol.52,No.1-3,pp.26-32. [5]. W.A.Cramond, P.R. Knight, and J.R. Lawrence (1967) The psychiatric contribution to a renal unitundertaking chronic haemodialysis and renal homotransplantation. Br J Psychiatry,Vol.113,No.504,pp.1201-12. [6]. A.K.De-Nour.(1970). Psychotherapy with patients on chronic haemodialysis. Br J Psychiatry.Vol.116(531),pp.207-15 [7]. G.L.Fricchione.(1992) Psychological adjustment to endstage renal disease and the implications of denial. Psychosomatics.Vol.33(1),pp.85-91. [8]. G.D.Braatvedt. (2006) Current and former smoking increases mortality in patients on peritoneal dialysis. N Z Med J.Vol.119(1234),pp.1977 [9]. A.Omoloja. (2010) Cigarette smoking and second-hand smoking exposure in adolescents with chronic kidney disease: a study from the Midwest Pediatric Nephrology Consortium. Nephrol Dial Transplant [10]. S.Vamvakas (1998) Alcohol : potential role in electrolyte disturbances and kidney diseases. Clin Nephrol.Vol.49,No.4,pp.205-13.A.Shankar, R.KleinandB.E.Klein (2006) The association among smoking, heavy drinking, and chronic kidney disease. Am J Epidemiol.Vol.164,No.3,pp.263-71 [11]. Daniel Cukor, Jeremy Coplan, Clinton Brown, Steven Friedman, Allyson Cromwell-Smith, Rolf A. Peterson, Paul L. Kimmel, Depression and Anxiety in Urban HemodialysisPatients, Clinical Journal of the American Society of Nephrology, pp. 484-490. [12]. K.O.Fagerstromand N.G. Schneider (1989), Measuring nicotine dependence: a review of the Fagerstrom Tolerance Questionnaire. J Behav Med.Vol.12,No.2,pp.159-82 [13]. C.S. Pomerleau, M.J. Majchrzak, O.F. Pomerleau (1989) Nicotine dependence and the Fagerstrom Tolerance Questionnaire: a brief review. J Subst Abuse.Vol.1,No.4,pp.471-7 [14]. T.F.Heatherton.(1991),The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br Addict.Vol.86, No.9, pp.1119-27 [15]. J.F.Etter, T.V. Duc, T.V. Perneger (1999) Validity of the Fagerstrom test for nicotine dependence and of the Heaviness of Smoking Index among relatively light smokers. Addiction, Vol.94,No.2,pp.269-81. [16]. A.Radzius (2001) A factor analysis of the fagerstrom tolerance questionnaire. Addict Behav. Vol.26,No.2, pp.303-10 [17]. A.Radzius. (2003) A factor analysis of the Fagerstrom Test for Nicotine Dependence (FTND). Nicotine Tob Res.Vol.5,No.2,pp.255-40. [18]. C.Jones-Burton. (2007).Cigarette smoking and incident chronic kidney disease: a systematic review. Am J Nephrol. Vol.27,No.4,pp.342-51. 954 Int. J. of Multidisciplinary and Current research, Sept/Oct 2014