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Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study
BACKGROUND AND AIMS: Prompt recognition and optimal management of hyponatremia helps the physician devise a better treatment plan to prevent future complications in patients. Hence this study aims to identify the risk factors associated with hyponatremia in psychiatric patients. METHODS: A case-cont...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iuliu Hatieganu University of Medicine and Pharmacy
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694740/ https://www.ncbi.nlm.nih.gov/pubmed/36506605 http://dx.doi.org/10.15386/mpr-2368 |
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author | Powle, Himani Shet, Ashvitha Mendonca, Arline Thulasi, Lakshmi Poojari, Pooja Thunga, Girish Munoli, Ravindra Kunhikatta, Vijayanarayana |
author_facet | Powle, Himani Shet, Ashvitha Mendonca, Arline Thulasi, Lakshmi Poojari, Pooja Thunga, Girish Munoli, Ravindra Kunhikatta, Vijayanarayana |
author_sort | Powle, Himani |
collection | PubMed |
description | BACKGROUND AND AIMS: Prompt recognition and optimal management of hyponatremia helps the physician devise a better treatment plan to prevent future complications in patients. Hence this study aims to identify the risk factors associated with hyponatremia in psychiatric patients. METHODS: A case-control study was conducted among psychiatric inpatients in a tertiary care teaching hospital. Patients admitted from January 2013 to December 2017 were identified using ICD-10 code F01-F99. Patients with serum sodium levels < 135 mmol/L were considered to have hyponatremia and between 135–145 mmol/L as controls. Factors associated with hyponatremia were identified by multiple logistic regression, and the odds ratio (OR) was calculated. RESULTS: Based on the inclusion and exclusion criteria, 264 cases of hyponatremia and 253 matching controls were included in the study. The mean age of patients with hyponatremia was 56.4 ± 16.8 years compared to 39.6 ± 13.9 years in controls, and 65.7% of them were males. Seizure disorder (OR = 3.14, p = 0.047), bipolar disorder (OR = 6.03, p = 0.001), depression (OR = 4.78, p = 0.0005), use of quetiapine (OR = 2.11, p = 0.007) and insulin (OR = 3.53, p = 0.038) were independent risk factors associated with development of hyponatremia. CONCLUSIONS: The chances of developing hyponatremia are increased in psychiatric patients with a seizure disorder, bipolar disorder, depression and using quetiapine or insulin. And they should be monitored carefully. |
format | Online Article Text |
id | pubmed-9694740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Iuliu Hatieganu University of Medicine and Pharmacy |
record_format | MEDLINE/PubMed |
spelling | pubmed-96947402022-12-08 Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study Powle, Himani Shet, Ashvitha Mendonca, Arline Thulasi, Lakshmi Poojari, Pooja Thunga, Girish Munoli, Ravindra Kunhikatta, Vijayanarayana Med Pharm Rep Original Research BACKGROUND AND AIMS: Prompt recognition and optimal management of hyponatremia helps the physician devise a better treatment plan to prevent future complications in patients. Hence this study aims to identify the risk factors associated with hyponatremia in psychiatric patients. METHODS: A case-control study was conducted among psychiatric inpatients in a tertiary care teaching hospital. Patients admitted from January 2013 to December 2017 were identified using ICD-10 code F01-F99. Patients with serum sodium levels < 135 mmol/L were considered to have hyponatremia and between 135–145 mmol/L as controls. Factors associated with hyponatremia were identified by multiple logistic regression, and the odds ratio (OR) was calculated. RESULTS: Based on the inclusion and exclusion criteria, 264 cases of hyponatremia and 253 matching controls were included in the study. The mean age of patients with hyponatremia was 56.4 ± 16.8 years compared to 39.6 ± 13.9 years in controls, and 65.7% of them were males. Seizure disorder (OR = 3.14, p = 0.047), bipolar disorder (OR = 6.03, p = 0.001), depression (OR = 4.78, p = 0.0005), use of quetiapine (OR = 2.11, p = 0.007) and insulin (OR = 3.53, p = 0.038) were independent risk factors associated with development of hyponatremia. CONCLUSIONS: The chances of developing hyponatremia are increased in psychiatric patients with a seizure disorder, bipolar disorder, depression and using quetiapine or insulin. And they should be monitored carefully. Iuliu Hatieganu University of Medicine and Pharmacy 2022-10 2022-10-27 /pmc/articles/PMC9694740/ /pubmed/36506605 http://dx.doi.org/10.15386/mpr-2368 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Research Powle, Himani Shet, Ashvitha Mendonca, Arline Thulasi, Lakshmi Poojari, Pooja Thunga, Girish Munoli, Ravindra Kunhikatta, Vijayanarayana Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title | Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title_full | Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title_fullStr | Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title_full_unstemmed | Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title_short | Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
title_sort | identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694740/ https://www.ncbi.nlm.nih.gov/pubmed/36506605 http://dx.doi.org/10.15386/mpr-2368 |
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