Pain and Associated Neuropsychiatric Symptoms in Patients Suffering from Dementia: Challenges at Different Levels and Proposal of a Conceptual Framework

Predictive value of somatic and functional variables for cognitive deterioration for early-stage patients with Alzheimer's Disease: Evidence from a prospective registry on dementia

Alzheimer's disease (AD) imposes a major burden on affected individuals, their caregivers and health-care systems alike. Though quite many risk factors for disease progression have been identified, there is a lack of prospective studies investigating the interplay and predictive value of a wide variety of patient variables associated with cognitive deterioration (defined as key feature of AD progression). Study participants were patients with probable and possible AD, that were assessed at four time points over a period of two years (T1-T4). The main results were threefold: (i) over time, significant changes were observed regarding patients' cognitive functioning, activities of daily living and caregiver load (but not depression, pain, neuropsychiatric symptoms); (ii) intercorrelations between caregiver load and patients' cognitive and functional variables were high, correlation patterns remaining rather stable across time; (iii) cognitive functioning at T4 was best predicted by patients' age, sex, atrial fibrillation and activities of daily living at T1; and (iv) across all four assessment points, cognitive functioning was best predicted by time (i.e., disease duration), age, sex, activities of daily living and depression. Overall, even in early stages of AD and during a short two-year period, functional changes were significant and tightly intertwined with caregiver load, thus stressing the need to consider caregiver load when diagnosing and treating patients with AD. A novel and clinically relevant finding is that even in early stages of AD, cognitive deterioration was best predicted by a combination of patients' demographic, somatic and functional variables.

Pain prediction model based on machine learning and SHAP values for elders with dementia in Taiwan

INTRODUCTION

Pain conditions are common in elderly individuals, including those with dementia. However, symptoms associated with dementia may lead to poor recognition, assessment and management of pain. In this study, we incorporated the variables based on questionnaires into a machine learning algorithm to build a prediction model for the pain index of elderly individuals with dementia.

MATERIALS AND METHODS

In this study, 113 cases were collected through questionnaires and used to build prediction models for the patient's pain index. Three machine learning algorithms were incorporated for comparison in this study. To interpret the prediction model, SHapley additive explanations values were used to depict the ranking importance of variables and the relationship between features and pain index.

RESULTS

In the comparison of models, random forests with feature selection outperformed in terms of root mean square error and mean absolute error. A total of 11 features were selected based on embedded method. The results showed that the Karnofsky scale played a key role in predicting pain index for elderly individuals with dementia and was positively associated with pain index. Arthritis is the most important disease to predicting the pain index.

CONCLUSIONS

Our findings provided the key insights to predict the pain index of elderly patients with dementia. In the future, it can be used to develop an application system or webpage, which can reduce the use of labour and improve the efficiency.

Physiological Biomarkers for Assessment of Pain during Routine Blood Tests for Older Adults with Dementia in Long-Term Residential Care

OBJECTIVE

Evaluating pain in individuals with dementia can be difficult when verbal communication is limited. Vocalization has emerged as a potential avenue for assessments of pain in nonverbal populations. This study aimed to evaluate if physiological assessments of vocalization were correlated with observational assessments of pain during routine blood tests for persons with dementia.

DESIGN

A cross-sectional descriptive study.

SETTING AND PARTICIPANTS

Sixty older adults (aged ≥65 years old) with dementia requiring routine finger puncture and peripheral venipuncture for routine blood tests were recruited by purposive sampling from 3 long-term care facilities in Taiwan.

METHODS

Observational assessments were conducted with the Pain Assessment in Advanced Dementia (PAINAD) instrument; physiological biomarkers of vocalization were assessed with a noninvasive sensing device and microphone (NISDM). Assessments were conducted simultaneously in one session during situations of increasing pain levels: at rest, making a sound, finger puncture, and peripheral venipuncture. PAINAD scores were compared with signal recording measures from the NISDM. Analysis of variance and Pearson correlation coefficient assessed correlations between observational and physiological measures.

RESULTS

Most participants were female (63.3%); mean age was 81.27 years (SD = 9.69); Clinical Dementia Rating was 2.23 ± 0.70; and Mini-Mental State Examination was 7.07 ± 6.95. Signal recording measures using the NISDM during finger puncture and venipuncture were significantly greater compared with measures at rest and making sound, indicating higher signal levels were associated with pain. PAINAD scores were significantly correlated with physiological measures for vocalization variables of sound amplitude (r = 0.49, P < .001), shimmer (r = 0.63, P < .001), and inhalation-to-exhalation amplitude ratio (r = 0.48, P < .001).

CONCLUSIONS AND IMPLICATIONS

Elevated vocalizations detected with the NISDM were correlated with increased pain scores on the PAINAD instrument. Physiological measures of pain using novel vocalization biomarkers have the potential to enhance the quality of care for individuals with dementia and limited communication abilities.

Pain prevalence and pain relief in end-of-life care - a national registry study

BACKGROUND

Despite pain control being a top priority in end-of-life care, pain continues to be a troublesome symptom and comprehensive data on pain prevalence and pain relief in patients with different diagnoses are scarce.

METHODS

The Swedish Register of Palliative Care (SRPC) was used to retrieve data from 2011 to 2022 about pain during the last week of life. Data were collected regarding occurrence of pain, whether pain was relieved and occurrence of severe pain, to examine if pain differed between patients with cancer, heart failure, chronic obstructive pulmonary disease (COPD) and dementia. Binary logistic regression models adjusted for sex and age were used.

RESULTS

A total of 315 000 patients were included in the study. Pain during the last week of life was more commonly seen in cancer (81%) than in dementia (69%), heart failure (68%) or COPD (57%), also when controlled for age and sex, p < 0.001. Severe forms of pain were registered in 35% in patients with cancer, and in 17-21% in non-cancer patients. Complete pain relief (regardless of pain intensity) was achieved in 73-87% of those who experienced pain, depending on diagnosis. The proportion of patients with complete or partial pain relief was 99.8% for the whole group.

CONCLUSIONS

The occurrence of pain, including severe pain, was less common in patients with heart failure, COPD or dementia, compared to patients with cancer. Compared with cancer, pain was more often fully relieved for patients with dementia, but less often in heart failure and COPD. As severe pain was seen in about a third of the cancer patients, the study still underlines the need for better pain management in the imminently dying.

TRIAL REGISTRATION

No trial registration was made as all patients were deceased and all data were retrieved from The Swedish Register of Palliative Care database.

Perception, behavior and experience of nursing assistants towards pain of older adults with dementia: A qualitative study

Nursing assistants are strategically positioned to detect and interpret behavioral alterations indicative of pain in residents suffering from dementia. Despite this, extant literature is scarce regarding their experiences in administering pain care to this demographic. Utilizing a phenomenological approach, this study engaged 17 nursing assistants selected via purposive sampling for semi-structured interviews. Data analysed by the Colaizzi 7-step method. Four emergent themes were discerned: perception of pain; strategies for coping with pain; emotional and psychological responses to pain-related caregiving; challenges and needs in pain-related caregiving. Nursing assistants play a unique and crucial role in the identification of pain, reporting and providing feedback to healthcare professionals, and implementing non-pharmacological interventions. However, these roles have not been fully utilized. Enhancements in pain management could be facilitated by decreasing staff turnover, augmenting educational and training programs, and incorporating empathy-focused situational training. The provision of mental health services is also recommended to ameliorate caregiving-induced stress.