Title |
Psychiatric morbidity among ICU patients at a general hospital in India
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Authors |
S Sarath Ajay Kumar1, Anil Kumar Pidikiti2 & Vaidyanath Gottumukkula3,*
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Affiliation |
1Department of Psychiatry, Siddhartha Medical College Andhra Pradesh, India; 2Department of Psychiatry, Government Medical College, Anantapur, India; 3Department of Psychiatry, MNR Medical College & Hospital, MNR Nagar, Fasalwadi, Narsapur Road, Sangareddy-502294, India; *Corresponding author
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S Sarath Ajay Kumar - E-mail: saimahayogi1515@gmail.com; vijaetha.ajay@gmail.com
Anil Kumar Pidikiti - E-mail: anilkumarpidikiti@gmail.com
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Article Type |
Research Article
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Date |
Received June 30, 2025; Revised June 30, 2025; Accepted June 30, 2025, Published June 30, 2025
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Abstract |
Psychiatric morbidity among ICU patients at a general hospital in India is of interest. Psychiatric diagnosis was assessed using the Mini International Neuropsychiatric Interview (MINI), while illness severity was measured with the APACHE-II scale for 400 ICU patients. The results revealed that, 65.5% prevalence of psychiatric disorders were 2 times higher than the primary care settings 23-42.5% and the parameters like mood 28.2% and anxiety 24.5%. Disorders predominated, with 72.4% prevalence in CNS patient’s vs 42.1% in others and the results also showed that, there was 82.3% morbidity in >70yr vs 36.4% in <30yr (p<0.001). These findings mandate protocolized psychiatric screening for ICU patients, particularly targeting elderly males, those with CNS/respiratory disorders and APACHE-II scores >30. The research findings had suggested that, implementing brief MINI assessments during ICU rounds could significantly improve the detection and management of comorbid mental health conditions in critical care settings. |
Keywords |
ICU psychiatry, psychiatric comorbidity, depression, anxiety, critical care, India
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Citation |
Kumar et al. Bioinformation 21(6): 1438-1442 (2025)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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