PURPOSE
Although there is a high incidence of delirium with increased age, the risk factors have been too various. We investigated the incidence and risk factors in the older inpatient with neurological disorders.
METHODS
We reviewed the Electronic Medical Records (EMR) of older patients admitted to a neurology unit from August 2016 to January 2017. We analyzed the incidence and risk factors of delirium in 382 patients in a tertiary hospital. Delirium was determined daily using the Nursing Delirium Screening Scale (Nu-DESC). Demographic, disease, and environmental characteristics were obtained by using structured EMR data.
RESULTS
The incidence rate of delirium was 6.0% (n=23). Delirium was prevalent in patients who were older, had a lower serum hemoglobin, had hypertension or had diabetes mellitus. Delirium was also observed in patients on antibiotics, having a higher number of drugs or catheters, or receiving mechanical monitoring. A longer hospital stay, being admitted to a sub-intensive care unit, and sleep deprivation were significantly associated with delirium. Multiple logistic regression analysis found older age, having sleep deprivation, a higher number of catheters placed, and having diabetes mellitus to be significant predictors of delirium.
CONCLUSION
This study shows that age, sleep deprivation, number of catheters, and comorbidity of diabetes mellitus were identified as a risk factor for delirium. And it will guide the development of algorithms through its possible applications for the future in hospitalized older adults.

Citations

• Relationship between Barriers and Performance for Delirium Care among Hospital Nurses: The Mediating Effect of Self-confidence
  Hee Yeon Kim, Hye-Ja Park
  Journal of Health Informatics and Statistics.2025; 50(1): 81.     CrossRef
• The evaluation of frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults’
  Yamini Ajmera, Karandeep Paul, Maroof Ahmad Khan, Bharti Kumari, Nand Kumar, Prasun Chatterjee, Aparajit Ballav Dey, Avinash Chakrawarty
  Asian Journal of Psychiatry.2024; 94: 103990.     CrossRef
• Patterns of Symptoms and Symptom-related Factors of Patients in the Intensive Care Unit: A Secondary Data Analysis of Electronic Medical Records
  Moonjung Kwak, Yeon-Hwan Park
  Korean Journal of Adult Nursing.2024; 36(2): 146.     CrossRef
• Leptin as a Predictor of Delirium in Geriatric Inpatients
  Yamini Ajmera, Avinash Chakrawarty, Masroor Anwar, Maroof Ahmad Khan, Prasun Chatterjee, Sharmistha Dey
  Journal of the Indian Academy of Geriatrics.2022; 18(4): 157.     CrossRef
• Effectiveness of Delirium Education Programs for Nurses in Acute Hospitals: A Systematic Review and Meta-Analysis
  Jungyeon Roh, Sujin Shin, Eunmin Hong
  Korean Journal of Adult Nursing.2022; 34(5): 435.     CrossRef

PURPOSE
Fatigue is a common problem in Parkinson's disease (PD), affecting 30~65% of patients with that diagnosis. Only recently has fatigue been recognized as an important clinical feature of PD. The aim of this study was to investigate the level of fatigue and related factors in patients with PD.
METHODS
Between March 1, and September, 30, 2010, a sample of 181 PD patients agreed to be interviewed.
RESULTS
The female patients' PFS (Parkinson Fatigue Scale) score was higher than those of the male patients. Household income and having a Job were significantly correlated with the PFS scores. Among the disease characteristics, motor fluctuations, dyskinesia and modified Hoehn and Yahr stage were significantly correlated with the PFS scores. On stepwise regression analysis, the most important factors related to the PFS scores were depression and sleep disturbance.
CONCLUSION
Fatigue in patients with PD was associated with many factors and strongly associated with depression and sleep disturbance. Fatigue is a multidimensional construct; therefore, multidimensional strategies for relieving specific aspects of fatigue are needed.

PURPOSE
The aim of this study was to investigate the level of resilience and related factors in patients with Parkinson's disease (PD) in Korea.
METHODS
Data were obtained from 148 patients using the Resilience Scale (RS), Beck's Depression Inventory (BDI), and Spielberger's Anxiety Inventory (AI).
RESULTS
The mean scores of the RS, BDI, and AI were 127.7+/-21.6, 12.9+/-9.3, and 41.9+/-11.1, respectively. The RS score was strongly correlated with the BDI score (r=-.531, p<.001) and the AI (r=-.572, p<.001). The resilience was significantly revealed by household income (F=4.002, p=.009) and presence of a hobby (t=-3.300, p=.001). In addition, resilience was significantly correlated with age of disease onset (r=.164, p=.046), years of living with PD (r=-.262, p=.001), and the length of treatment with levodopa (r=-.283, p<.001). From the stepwise multiple regression analysis, the most important factors related to the RS score were the AI score, household income, and length of treatment with levodopa.
CONCLUSION
Understanding these factors is essential for developing effective interventions to improve resilience in patients with PD.