Forskningsartikler

Background:
Pain in nursing home (NH) residents with dementia is commonly reported and may affect Quality of Life (QoL) negatively. Few longitudinal studies have explored how pain and QoL develop in NH residents with dementia starting from their admission to the NH.

Aim:
The aim was to explore pain, QoL, and the association between pain and QoL over time in persons with dementia admitted to a NH.

Methods:
A convenience sample, drawn from 68 non-profit NHs, included a total of 996 Norwegian NH residents with dementia (mean age 84.5 years, SD 7.6, 36.1% men) at NH admission (A1), with annual follow-ups for two years (A2 and A3). Pain and QoL were assessed using the Mobilization-Observation-Behavior-Intensity-Dementia-2 (MOBID-2) Pain Scale and the Quality of Life in Late-Stage Dementia (QUALID) scale, respectively, at all assessments. Severity of dementia, personal level of activities of daily living, general medical health, neuropsychiatric symptoms, and the prescription of psychotropic drugs and analgesics (opioids and/or paracetamol) were also assessed at all assessments.

Results:
Mean (SD) MOBID-2 pain intensity scores were 2.1 (2.1), 2.2 (2.2), and 2.4 (2.1) at A1, A2, and A3, respectively. Participants who were prescribed analgesics had higher pain intensity scores at all assessments than participants not prescribed analgesics. The mean (SD) QUALID scores at each assessment were 19.8 (7.1), 20.8 (7.2), and 22.1 (7.5) at A1, A2, and A3, respectively. In the adjusted linear mixed model, higher pain intensity score, prescription of opioids, and prescription of paracetamol were associated with poorer QoL (higher QUALID total score and higher scores in the QoL dimensions of sadness and tension) when assessed simultaneously. No time trend in QoL was found in these adjusted analyses.

Conclusion:
NH residents with dementia who have higher pain intensity scores or are prescribed analgesics are more likely to have poorer QoL. Clinicians, NH administrators, and national healthcare authorities need to look into strategies and actions for pharmacological and non-pharmacological pain treatment to reduce pain intensity while simultaneously avoiding negative side effects of pain treatment that hamper QoL.

Anne-S. Helvik, Sverre Bergh, Jūratė Šaltytė Benth, Tom Borza, Bettina Husebø & Kjerstin Tevik

Abstract

Background: The 1q21.1 distal and 15q11.2 BP1-BP2 CNVs exhibit regional and global brain differences compared to non-carriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intra-individual variability measures can be used to test for regional differences beyond global differences in brain structure.

Methods: Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n=30) and duplication (n=27), and 15q11.2 BP1-BP2 deletion (n=170) and duplication (n=243) carriers and matched non-carriers (n=2,350). Regional intra-deviation (RID) scores i.e., the standardized difference between an individual’s regional difference and global difference, were used to test for regional differences that diverge from the global difference.

Results: For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate and temporal pole differed less, and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex and temporal pole differed less, and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness.

Conclusion: We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 CNVs. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 CNVs, with the potential to increase our understanding of mechanisms involved in altered neurodevelopment.

Bøen, R.,… Persson, K.,…Selbæk, G.,…Sønderby, I.E.

Abstract:

The aim of this study was to assess the diagnostic validity of a deep learning-based method estimating brain age based on magnetic resonance imaging (MRI) and to compare it with volumetrics obtained using NeuroQuant (NQ) in a clinical cohort. Brain age prediction was performed on minimally processed MRI data using deep convolutional neural networks and an independent training set. The brain age gap (difference between chronological and biological age) was calculated, and volumetrics were performed in 110 patients with dementia (Alzheimer’s disease, frontotemporal dementia (FTD), and dementia with Lewy bodies), and 122 with non-dementia (subjective and mild cognitive impairment). Area-under-the-curve (AUC) based on receiver operating characteristics and logistic regression analyses were performed. The mean age was 67.1 (9.5) years and 48.7% (113) were females. The dementia versus non-dementia sensitivity and specificity of the volumetric measures exceeded 80% and yielded higher AUCs compared to BAG. The explained variance of the prediction of diagnostic stage increased when BAG was added to the volumetrics. Further, BAG separated patients with FTD from other dementia etiologies with > 80% sensitivity and specificity. NQ volumetrics outperformed BAG in terms of diagnostic discriminatory power but the two methods provided complementary information, and BAG discriminated FTD from other dementia etiologies.

Karin Persson, Esten H Leonardsen, Trine Holt Edwin, Anne-Brita Knapskog, Gro Gujord Tangen, Geir Selbæk, Thomas Wolfers, Lars T Westlye, Knut Engedal