scholarly journals Current Trends of Geriatric Depression at an Indian Tertiary Care Center

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Akash Rajender ◽  
Krishna Kanwal ◽  
Gaurav R

Background: Aging is a progressive process beginning with life & ending with death. There is a massive growth in elderly population & age associated diseases. Depression is frequently associated with aging, associated comorbidities & treatment compliance in this fragile age group. Aims & Objective: To study prevalence of depression in elderly using Geriatric Depression Scale (GDS) and its associated risk factors. Method: Three hundred elderly (≥60 years) patients were assessed at Mahatma Gandhi Medical College & Hospital, Jaipur in an observational, cross sectional study using Geriatric Depression Scale (GDS). Correlation with associated risk factors were evaluated. Statistical analysis was done using SPSS version 12.0. Results: Prevalence of depression was 29.3% of which 62 (20.67%) were mildly depressed and 26 (8.67%) were severely depressed. Depression was significantly higher in elderly subjects with comorbid chronic disease (p 0.0001), inadequate sleep (p 0.001), absent social participation (p 0.002) and in those who did not engage themselves in day time work or hobbies (p 0.0002). Conclusions: Depression is common in elderly, its undiagnosed & overlooked. Prevention of risk factors & early diagnosis may significantly reduce morbidity, mortality & improve quality of life.

Author(s):  
Sandhya Mishra ◽  
Amit Nandan Mishra

Background: Senior citizen elderly or old age consists of ages close to or exceeding the average life span of human beings. The limit of old age cannot be defined precisely because it does not have the same meaning in all societies by the middle of this century, there could be 100 million elderly people living in the India according to United Nations World population prospects report. Depression is the common psychiatric disorder among elderly. The aim of the study was to estimate the prevalence of Depression among elderly in a rural population. Design of the study was a cross sectional study conducted among 450 elderly populations in rural community of Lucknow, Uttar Pradesh.Methods: A validated geriatric depression scale (Geriatric depression scale (GDS) 30) was used to assess their depression status and the various demographic details, socio economic status and living arrangements were analyzed to see for any association with depression. Statistical analysis was chi square test and odds ratio.Results: Among the 450 elderly subjects studied. The prevalence of depression among elderly males was found to be 48% and among females 56% and the difference in the prevalence of depression among males and females was found to be statistically significance (p=0.03).Conclusions: The results confirmed that there is a high prevalence of depression among the elderly population. There is a need to improve geriatrics health care services combined with proper monitoring and evaluation.


2015 ◽  
Vol 6 (03) ◽  
pp. 442-1446 ◽  
Author(s):  
Sonali Sarkar ◽  
Shivananand Kattimani ◽  
Gautam Roy ◽  
K. C. Premarajan ◽  
Siddharth Sarkar

ABSTRACT Background: Local language screening instruments can be helpful in early assessment of depression in the elderly in the community and primary care population. This study describes the validation of a Tamil version of Geriatric Depression Scale (short form 15 [GDS-15] item) in a rural population. Materials and Methods: A Tamil version of GDS-15 was developed using standardized procedures. The questionnaire was applied in a sample of elderly (aged 60 years and above) from a village in South India. All the participants were also assessed for depression by a clinical interview by a psychiatrist. Results: A total of 242 participants were enrolled, 64.9% of them being females. The mean score on GDS-15 was 7.4 (±3.4), while the point prevalence of depression was 6.2% by clinical interview. The area under the receiver-operator curve was 0.659. The optimal cut-off for the GDS in this sample was found at 7/8 with sensitivity and specificity being 80% and 47.6%, respectively. Conclusion: The Tamil version of GDS-15 can be a useful screening instrument for assessment of depression in the elderly population.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
F. Beskardes ◽  
T. Ertan ◽  
E. Eker

Aims:We aimed to study the prevalence of anxiety disorders with the comorbidity of depressive disorders and the effects of risk factors among the patients attending the general Geriatric Psychiatry Outpatient Unit.Methods:Subjects were evaluated in terms of Anxiety Disorders on the basis of DSM criteria, SCID. Each patient was asked to fill out Spielberger State-Trait Anxiety Scale, Beck Anxiety and Depression Scale. Sociodemographic features and risk factors were assesed the prepared questionnaire.Results:In a number of total 1209 applicants in 12 months, we found the prevalance of anxiety disorders was %9,48 with a number of 115 patients in outpatient department applications and the prevalence of Generalized Anxiety Disorder was found out to be %4,63(n:56), Panic Disorder with Agoraphobia %1,98(n:24), without Agoraphobia %0,90(n:11), the prevalence of OCD was %0,82(n:10), PTSD %0,49(n:6) and other anxiety disorders (SAD, SP, NOS) was %0,66(n:8).In the patients with anxiety disorders, the prevalence of depression comorbidity was found out to be %73,05(n:84), with the prevalence of the comorbid major depressive disorder %26,1(n:31), and the dysthymic/minor depressive disorder was %46,95(n:53). As a result of statistical analysis,we found that the risk factors associated with STAI-I and II scores were total years spent on education, but in reverse manners, as the education level increased, the STAI-I and II scores decreased.Conclusions:Anxiety disorders with comorbid depression might be frequent disorders among Turkish secondary care attenders. There is a need for further studies on the epidemiology of anxiety disorders and their comorbidity with depression among elderly in Turkey.


2008 ◽  
Vol 29 (6) ◽  
pp. 564-566
Author(s):  
Anucha Apisarnthanarak ◽  
Supanee Jirajariyavej ◽  
Kanokporn Thongphubeth ◽  
Chananart Yuekyen ◽  
David K. Warren ◽  
...  

We performed a study with a 1:3 ratio of case patients (n = 11) to control patients (n = 33) to evaluate risk factors for postoperative endophthalmitis in a Thai tertiary care center. Multivariate analysis revealed that diabetes mellitus and surgeon A were associated risk factors. Preoperative diabetes mellitus control and the improvement of infection control practices led to the termination of the outbreak.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5616-5616
Author(s):  
Alexander Zober ◽  
Mandy Möller ◽  
Sandra-Maria Dold ◽  
Gabriele Ihorst ◽  
Stefanie Hieke ◽  
...  

Abstract Introduction: Cancer pts present with a highly heterogeneous health status and treatment choices are often numerous. Therefore, careful assessment of individuals' condition is highly relevant. In order to define best possible and tolerable treatment options, novel parameters and metrics for non-disease variables are needed. Albeit impairment in the Karnofsky Performance Status (KPS), Activities of Daily Living (IADL or ADL) and quality of life (QoL) are predictive for outcome in cancer and MM pts, the prognostic variables within a defined and prospectively assessed battery of established functional tests have rarely been delineated nor have their combination with disease-related risk factors or molecular markers been meticulously assessed. Their prognostic value for functional decline and overall survival (OS) has also not been tested and validated prospectively. Methods: We performed this comorbidity and functional geriatric assessment (CF-GA) in consecutive MM pts treated at our center according to our institutional Comprehensive Cancer Center pathway. The GA was prospectively obtained prior to initiation of anti-myeloma treatment and reflected pts' baseline health status rather than being confounded by toxicities induced by therapy. This CF-GA included the IADL, ADL, Timed Up and Go-Test, malnutrition, pain, rating of fitness, SF12-QoL and geriatric depression scale. Moreover, established comorbidity (CM) scores: ß2MG/eGFR (Eur J Haematol. 2009;83:519-27), Kaplan Feinstein (KF), Hematopoietic Cell Transplantation-Comorbidity Index (HCT-CI), Charlson Comorbidity Index (CCI) and initial Freiburg Comorbidity Index (iFCI) vs. revised FCI (rFCI) were assessed. This CF-GA was performed as one screening tool to assess pt fitness as well as to predict survival and toxicities in elderly myeloma pts. Results: Characteristics of 131 pts, currently included in this CF-GA, were typical for tertiary centers with a median age of 63 years (40-83), all with symptomatic disease. Their median hemoglobin was 10.8g/dl (7.6-14.7), the eGFR 68ml/min/1.73qm (7-136), the ß2-MG 4.4mg/l (0.8-38.4) and BM infiltration 40% (3-90). The baseline frailty assessment revealed a median KPS of 80% (40-100). The fitness score scaled both by physicians and patients was 4 vs. 3 (1-6), demonstrating that physicians overestimate pts' performance status and objective tests to verify this are essential. Median functional results for the IADL were 5 (1-8), for the ADL 4 (2-6), for pain 2 (0-10), for malnutrition 4 (0-14) and for cognitive deficiency via Mini Mental State Examination 28 (16-30). The median geriatric depression scale was 3 (0-13) and Timed Up and Go-Test 10 (4-30). Median CM scores were substantially different with an iFCI of 0 (0-3), ß2MG/eGFR of 1 (0-2), KF of 1 (0-3), HCT-CI of 2 (0-8), rFCI of 4 (0-9) and CCI of 7 (0-12). Highly valuable CF-GA-tools seem currently the IADL, Timed Up and Go-Test and rFCI. Since CF-GA is a time and man-power consuming procedure, we have presently completed a web account that allows the straightforward assessment of the rFCI for MM pts (https://rfci-score.org). This permits to perform this score in only 1-2 minutes. Moreover, we continue to perform this prospective assessment in more MM pts at our center and within a multicentre approach within the German Study Group Multiple Myeloma(DSMM) and will thereby also assess whether these function deficits and tests change over time. Prior scores to define fit, intermediate and frail pts (Blood. 2015;125:2068-74) will be compared with our risk group definitions and their predictive power for progression free survival, overall survival, side effects, therapy termination/discontinuation and early mortality will be evaluated. Adverse risk groups will allow to test and validate the most significant predictors of survival outcomes. Conclusions: Our CF-GA and rFCI contain easily assessable and reliable tests, which are of value to further test for their discriminative character in MM pts. Moreover, most predictive CF-CA tools need to be determined in prospective multicentre cohorts and need to be included in future clinical trials. We advocate our CF-GA and rFCI to foresee treatment toxicity, facilitate treatment decisions and guide personalized therapies. Timely identification and management of risk factors in MM pts are important considerations in the daily care of older and frail cancer pts, specifically those with MM. Disclosures Zober: Deutsche Krebshilfe: Other: grant. Knop:Celgene Corporation: Consultancy. Einsele:Amgen/Onyx: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau. Engelhardt:Deutsch Krebshilfe: Other: grant.


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