Assessment of the Geriatric Patient

2018 ◽  
Author(s):  
Michelle Martinchek

Geriatric syndromes are complex conditions that are common in older adults and often have multiple contributing factors. These syndromes do not fit into discrete disease or organ system categories like other conditions. As the population of older adults continues to grow, it is important that providers are equipped to assess older adults for these geriatric syndromes. These syndromes are associated with functional disability and other poor outcomes. Examples of these syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Understanding the epidemiology, pathogenesis, and predisposing factors may help providers identify patients at risk for these syndromes. Furthermore, a thorough assessment is key in the evaluation of these syndromes. This review contains 48 references, 4 figures, and 8 tables. Key Words: cognition, dementia, delirium, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss

2018 ◽  
Author(s):  
Michelle Martinchek

Geriatric syndromes are complex conditions that are common in older adults and often have multiple contributing factors. These syndromes do not fit into discrete disease or organ system categories like other conditions. As the population of older adults continues to grow, it is important that providers are equipped to assess older adults for these geriatric syndromes. These syndromes are associated with functional disability and other poor outcomes. Examples of these syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Understanding the epidemiology, pathogenesis, and predisposing factors may help providers identify patients at risk for these syndromes. Furthermore, a thorough assessment is key in the evaluation of these syndromes. This review contains 48 references, 4 figures, and 8 tables. Key Words: cognition, dementia, delirium, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss


2018 ◽  
Author(s):  
Michelle Martinchek

Geriatric syndromes are complex conditions that are common in older adults and often have multiple contributing factors. These syndromes do not fit into discrete disease or organ system categories like other conditions. As the population of older adults continues to grow, it is important that providers are equipped to assess older adults for these geriatric syndromes. These syndromes are associated with functional disability and other poor outcomes. Examples of these syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Understanding the epidemiology, pathogenesis, and predisposing factors may help providers identify patients at risk for these syndromes. Furthermore, a thorough assessment is key in the evaluation of these syndromes. This review contains 48 references, 4 figures, and 8 tables. Key Words: cognition, dementia, delirium, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss


2018 ◽  
Author(s):  
Michelle Martinchek

Geriatric syndromes are complex conditions in older adults that often have many contributing factors. Examples of common geriatric syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Identifying the patients at risk for these syndromes and enacting preventive measures are also important to try to reduce the impact that many of these syndromes may have on outcomes. These syndromes can happen across many different care settings including in the community, outpatient setting, hospital, and nursing facilities. Once these syndromes are identified, management techniques often include multifactorial approaches and use both nonpharmacologic and pharmacologic means. Management strategies may include assistance from interdisciplinary team members, families, and caregivers of the patient. This review contains 30 references, 4 figures, and 4 tables. Key Words: cognition, delirium, dementia, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss


2018 ◽  
Author(s):  
Michelle Martinchek

Geriatric syndromes are complex conditions in older adults that often have many contributing factors. Examples of common geriatric syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Identifying the patients at risk for these syndromes and enacting preventive measures are also important to try to reduce the impact that many of these syndromes may have on outcomes. These syndromes can happen across many different care settings including in the community, outpatient setting, hospital, and nursing facilities. Once these syndromes are identified, management techniques often include multifactorial approaches and use both nonpharmacologic and pharmacologic means. Management strategies may include assistance from interdisciplinary team members, families, and caregivers of the patient. This review contains 30 references, 4 figures, and 4 tables. Key Words: cognition, delirium, dementia, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss


2020 ◽  
Vol 4 (1-3) ◽  
pp. 8
Author(s):  
Abdolreza Norouzy

Diagnosis and treatment of malnutrition should be considered in the management of COVID-19 patients to improve both short- and long-term prognosis. Patients at risk for poor outcomes and higher mortality following infection with COVID-19, namely older adults and polymorbid individuals, should be checked for malnutrition through screening and assessment.


2022 ◽  
Author(s):  
Laura Tay ◽  
Melvin Chua ◽  
Yew Yoong Ding

Abstract Background: Readmission in older adults is typically complex with multiple contributing factors. We aim to examine how two prevalent and potentially modifiable geriatric conditions – depressive symptoms and malnutrition – relate to other geriatric syndromes and 30-day readmission in hospitalized older adults. Methods: Consecutive admissions of patients >65 years to a general medical department were recruited over 15 months. Patients were screened for depression, malnutrition, delirium, cognitive impairment, and frailty at admission. Medical records were reviewed for intermediary events including poor oral intake and functional decline during hospitalization. Unplanned readmission within 30-days of discharge was tracked through the hospital’s electronic health records and follow-up telephone interviews. We use directed acyclic graphs (DAGs) to depict the relationship of depressive symptoms and malnutrition with geriatric syndromes that constitute covariates of interest and 30-day readmission outcome. Multiple logistic regression was performed for the independent associations of depressive symptoms and malnutrition with 30-day readmission, adjusting for variables based on DAG-identified minimal adjustment set. Results: We recruited 1619 consecutive admissions, with mean age 76.4 (7.9) years and 51.3% females. 30-day readmission occurred in 331 (22.0%) patients. Depressive symptoms (OR 1.55, 95% CI 1.15-2.07), malnutrition (OR 1.59, 95% CI 1.14-2.23), higher comorbidity burden, hospitalization in the one-year preceding index admission, frailty, delirium, as well as functional decline and poor oral intake during the index admission, were more commonly observed among patients who were readmitted within 30 days of discharge (P<0.05). Patients with active depressive symptoms were significantly more likely to be frail (OR=1.62, 95% CI 1.22-2.16), had poor oral intake (OR=1.35, 95% CI 1.02-1.79) and functional decline during admission (OR=1.58, 95% CI 1.11-2.23). Malnutrition at admission was significantly associated with frailty, delirium, cognitive impairment and poor oral intake during hospitalization (P<0.05). In minimal adjustment set identified by DAG, depressive symptoms (OR=1.38, 95% CI 1.02-1.86) remained significantly associated with 30-day readmission. The association of malnutrition with 30-day readmission was attenuated after adjusting for age, ethnicity and depressive symptoms in the minimal adjustment set (OR=1.40, 95% CI 0.99-1.98, P=0.06). Conclusion: The observed causal associations support screening and targeted interventions for depressive symptoms and malnutrition during admission and in the post-acute period.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
D J C P Cataneo ◽  
A P N R Navarrete ◽  
L A L O Lasses ◽  
J E C A Cossio

Abstract Objectives Atrial fibrillation (AF) is particularly frequent in nonagenarian patients, in whom geriatric syndromes (GS) are also often present and may interfere with treatment decision-making and impact prognosis. Previous work has identified an association between AF and GS in older adults; however, available data is limited for nonagenarian patients and other possibly associated factors. Therefore, this study aims to describe the association between AF and GS in nonagenarian patients. Methods This is a cross-sectional study of 205 nonagenarian patients followed in a third-level hospital's Geriatric Cardiology Clinic. Sociodemographic factors, comorbidities, and GS were investigated. To determine the association between AF and GS, multivariate logistic regression analyses were carried out, taking into account other correlations. Results The mean age of participants was 92.56 (SD 2.39) years; 124 (60.5%) were women. AF was present in 30.7% of participants. Most common GS were sarcopenia (77.6%), risk of malnutrition or malnutrition (69.8%), frailty (52.2%), depressive symptoms (45.9%), cognitive impairment (27.3%), and severe disability for activities of daily living (25.4%). In the multivariate logistic regression analysis, AF was independently associated with frailty (OR 2.57; CI 95% 1.32–5.01; p=0.006), malnutrition (OR 1.95; CI 95% 1.3–8, p=0.045), moderate to severe cognitive impairment (OR 2.15; CI 95% 1.11–4.14; p=0.023), and depressive symptoms (OR 5.84; CI 95% 1.16–4.12, p=0.016). Conclusions AF is independently associated with frailty, malnutrition, depressive symptoms, moderate to severe cognitive impairment and severe functional disability in nonagenarian patients. FUNDunding Acknowledgement Type of funding sources: None.


2021 ◽  
Author(s):  
Shanshan Wu ◽  
Xiaozhen Lv ◽  
Jie Shen ◽  
Hui Chen ◽  
Yuan Ma ◽  
...  

Abstract Objective To examine the association of baseline body mass index (BMI) and BMI change with cognitive impairment among older adults in China. Methods The study included data from the Chinese Longitudinal Healthy Longevity Study, a national community-based prospective cohort study from 2002-2018. Baseline BMI and BMI change measurements were available for 12,027 adults aged older than 65 years. Cognitive impairment was defined as Chinese version of the Mini Mental State Examination score less than 18. Multivariable Cox proportional hazard model was used.Results Among 12027 participants (mean age was 81.23 years old and 47.48% were male), the proportion of underweight, normal, overweight and obese at baseline was 33.87%, 51.39%, 11.39% and 3.34%, respectively. During an average of 5.9 years’ follow-up, 3086 participants (4.35 per 100 person-years) with incident cognitive impairment were identified. Compared with normal weight group, adjusted hazard ratio (AHR) for cognitive impairment was 0.86 (95% CI 0.75-0.99) among overweight group, whereas corresponding AHR was 1.02 (95% CI 0.94-1.10) in underweight and 1.01 (95% CI 0.80-1.28) in obese. Large weight loss (<-10%) was significantly associated with an increased risk of cognitive impairment (AHR, 1.42, 95% CI 1.29-1.56), compared to stable weight status group (-5%~5%). In the restricted cubic spline models, BMI change showed a L-shaped association with cognitive impairment. Conclusions BMI-defined overweight is associated with a reduced risk of cognitive impairment among Chinese older adults, while large weight loss is associated with increased risk. More attention should be paid to older adults with significant weight loss.


2021 ◽  
Vol 12 (8) ◽  
pp. S63
Author(s):  
E. Stevens ◽  
M. Xu ◽  
A. Funderburg ◽  
Y. Huang ◽  
A. Rosko ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S336-S337
Author(s):  
Leighanne Jarvis ◽  
Sarah Moninger ◽  
Chandra Throckmorton ◽  
Juliessa M Pavon ◽  
Kevin Caves

Abstract Health and fitness are contributing factors to physical resilience, or the ability to resist or recover from functional decline following health stressors. Accelerometer based activity monitors have been used in both the in-patient and outpatient setting to monitor mobility. While using sensors to track mobility is increasing, most clinical settings rely on patient reported outcomes. These measures often under or overestimate movement. The lack of a clinically meaningful way to measure mobility in the in-patient setting is a barrier to improving the mobility of hospitalized individuals. This is especially important when considering that over one-third of hospitalized older adults are discharged with a major new functional disability in performing activities of daily living. Our goal was to automatically determine if the subject is laying, reclining, sitting, standing, and walking to better reflect actual activity. Other platforms and studies indicate the ability to determine a difference in activity vs. inactivity or laying and reclining vs. standing and walking, but not all five phases of movement defined here. The aim of this study was to use accelerometer data to train a machine learning algorithm to automatically classify the postural changes (i.e. laying, reclining, sitting, standing, and walking). Preliminary results demonstrate that our trained algorithm is overall 95% accurate in determining each position from unlabeled data from the subject population. Additionally, this algorithm will be applied to in-patient hospitalized older adults for tracking of positions throughout the day.


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