EVALUATION OF THE CAUSES AND OUTCOME OF ACUTE ONSET ALTERED SENSORIUM IN ELDERLY PATIENTS ADMITTED IN TERTIARY CARE HOSPITAL
Main Article Content
Keywords
Altered mental status, Glasgow Coma Scale, age disparities, gender differences, prognosis, clinical outcomes
Abstract
Background: Altered mental status (AMS) is a common clinical presentation with diverse etiologies and significant prognostic implications. Despite its frequent occurrence, the interplay between demographic variables such as age and gender, and clinical outcomes remains underexplored.
Objective: This study aimed to evaluate the demographic and clinical predictors of AMS and their impact on hospital outcomes, with a particular focus on age- and gender-related disparities.
Methods: This retrospective observational study analyzed 200 patients admitted with AMS to a tertiary care hospital. Demographic data, clinical presentations, Glasgow Coma Scale (GCS) scores, and underlying etiologies were documented. Outcome measures included length of hospital stay, discharge disposition, and in-hospital mortality. Data were statistically analyzed to identify associations between predictors and outcomes.
Results: The cohort included 112 males (56%) and 88 females (44%), with a mean age of 62.4 years. Older patients, particularly females, demonstrated significantly worse outcomes, including prolonged hospitalizations and higher mortality rates (p < 0.05). GCS scores at admission emerged as a strong predictor of prognosis, with patients presenting with scores ≤8 experiencing higher mortality (p < 0.001). Infections, metabolic disturbances, and cerebrovascular events were the most common etiologies of AMS, with variations observed across age and gender groups.
Conclusion: The study underscores the importance of early recognition and tailored management of AMS, particularly in older and female patients who exhibit poorer outcomes. Early neurological assessment and prompt management of underlying etiologies are crucial for improving prognosis. Further research is warranted to address gender- and age-based disparities and evaluate targeted interventions in this population.
Objective: This study aimed to evaluate the demographic and clinical predictors of AMS and their impact on hospital outcomes, with a particular focus on age- and gender-related disparities.
Methods: This retrospective observational study analyzed 200 patients admitted with AMS to a tertiary care hospital. Demographic data, clinical presentations, Glasgow Coma Scale (GCS) scores, and underlying etiologies were documented. Outcome measures included length of hospital stay, discharge disposition, and in-hospital mortality. Data were statistically analyzed to identify associations between predictors and outcomes.
Results: The cohort included 112 males (56%) and 88 females (44%), with a mean age of 62.4 years. Older patients, particularly females, demonstrated significantly worse outcomes, including prolonged hospitalizations and higher mortality rates (p < 0.05). GCS scores at admission emerged as a strong predictor of prognosis, with patients presenting with scores ≤8 experiencing higher mortality (p < 0.001). Infections, metabolic disturbances, and cerebrovascular events were the most common etiologies of AMS, with variations observed across age and gender groups.
Conclusion: The study underscores the importance of early recognition and tailored management of AMS, particularly in older and female patients who exhibit poorer outcomes. Early neurological assessment and prompt management of underlying etiologies are crucial for improving prognosis. Further research is warranted to address gender- and age-based disparities and evaluate targeted interventions in this population.
References
1. Inouye SK, Westendorp RG, Saczynski JS. Delirium in elderly people. Lancet. 2014;383(9920):911-922.
2. Morandi A, Davis D, Bellelli G, et al. Delirium superimposed on dementia strongly predicts worse outcomes in older rehabilitation inpatients. J Am Med Dir Assoc. 2014;15(5):349-354.
3. Ferri CP, Prince M, Brayne C, et al. Global prevalence of dementia: a Delphi consensus study. Lancet. 2005;366(9503):2112-2117.
4. Mattson MP, Arumugam TV. Hallmarks of brain aging: adaptive and pathological modification by metabolic states. Cell Metab. 2018;27(6):1176-1199.
5. Maher RL, Hanlon J, Hajjar ER. Clinical consequences of polypharmacy in elderly. Expert Opin Drug Saf. 2014;13(1):57-65.
6. Mody L, Juthani-Mehta M. Urinary tract infections in older women: a clinical review. JAMA. 2014;311(8):844-854.
7. Davenport RJ, Dennis MS, Warlow CP. The impact of rapid access to neurology on outcomes in stroke and TIA. Lancet Neurol. 2005;4(11):841-850.
8. Smith EE, Abdullah AR, Jiang B, et al. Diagnostic accuracy of CT angiography in stroke. Stroke. 2013;44(7):1897-1903.
9. Campbell NL, Boustani MA, Ayub A, et al. Impact of medications on cognitive function in older adults: a review. Clin Geriatr Med. 2012;28(4):447-464.
10. Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2002;50(10):1723-1732.
11. Young J, Murthy L, Westby M, Akunne A, O'Mahony R. Diagnosis, prevention, and management of delirium: summary of NICE guidance. BMJ. 2010;341:c3704.
12. Richardson P, Tilling K, Warlow C. Mortality and recovery in AMS caused by strokes. Cerebrovascular Diseases. 2019;48(3-4):201-208.
13. Dodge PR, Raimondi AJ, Goldman S. Prognostic outcomes in infections leading to altered mental status. Pediatrics. 2016;138(5): e20162045.
14. Bustamante J, Zamora E, Garcia-Blas S. AMS due to hepatic encephalopathy: Mortality trends and outcomes. Journal of Hepatology. 2018;68(4):760-769.
15. John B, Krishna H, Saha P. Timing of presentation as a determinant of prognosis in patients with AMS. Emergency Medicine Journal. 2020;37(8):478-483.
2. Morandi A, Davis D, Bellelli G, et al. Delirium superimposed on dementia strongly predicts worse outcomes in older rehabilitation inpatients. J Am Med Dir Assoc. 2014;15(5):349-354.
3. Ferri CP, Prince M, Brayne C, et al. Global prevalence of dementia: a Delphi consensus study. Lancet. 2005;366(9503):2112-2117.
4. Mattson MP, Arumugam TV. Hallmarks of brain aging: adaptive and pathological modification by metabolic states. Cell Metab. 2018;27(6):1176-1199.
5. Maher RL, Hanlon J, Hajjar ER. Clinical consequences of polypharmacy in elderly. Expert Opin Drug Saf. 2014;13(1):57-65.
6. Mody L, Juthani-Mehta M. Urinary tract infections in older women: a clinical review. JAMA. 2014;311(8):844-854.
7. Davenport RJ, Dennis MS, Warlow CP. The impact of rapid access to neurology on outcomes in stroke and TIA. Lancet Neurol. 2005;4(11):841-850.
8. Smith EE, Abdullah AR, Jiang B, et al. Diagnostic accuracy of CT angiography in stroke. Stroke. 2013;44(7):1897-1903.
9. Campbell NL, Boustani MA, Ayub A, et al. Impact of medications on cognitive function in older adults: a review. Clin Geriatr Med. 2012;28(4):447-464.
10. Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2002;50(10):1723-1732.
11. Young J, Murthy L, Westby M, Akunne A, O'Mahony R. Diagnosis, prevention, and management of delirium: summary of NICE guidance. BMJ. 2010;341:c3704.
12. Richardson P, Tilling K, Warlow C. Mortality and recovery in AMS caused by strokes. Cerebrovascular Diseases. 2019;48(3-4):201-208.
13. Dodge PR, Raimondi AJ, Goldman S. Prognostic outcomes in infections leading to altered mental status. Pediatrics. 2016;138(5): e20162045.
14. Bustamante J, Zamora E, Garcia-Blas S. AMS due to hepatic encephalopathy: Mortality trends and outcomes. Journal of Hepatology. 2018;68(4):760-769.
15. John B, Krishna H, Saha P. Timing of presentation as a determinant of prognosis in patients with AMS. Emergency Medicine Journal. 2020;37(8):478-483.