Dementia Patients Research Articles

Primitive reflexes and dementia in older adults: a meta-analysis of observational and cohort studies.

Primitive reflexes (PRs) are clinical signs that indicate diffuse cerebral dysfunction and frontal lesions. We aimed to present a comprehensive analysis of the prevalence and risk of PRs in patients with dementia. English-language articles published from January 1990 to April 2021 were searched in PubMed, ScienceDirect, Cochrane, and Web of Science with keywords. The titles and abstracts of the identified articles were screened to identify potentially relevant papers. Odds ratios and risk ratios were extracted with 95% confidence intervals and combined using the random-effects model after logarithmic transformation. The prevalence in dementia patients was also combined using the random-effects model. This meta-analysis involved 29 studies. The snout reflex (48% of cases) was the most prevalent. It was found that the risk of PRs in individuals with dementia was significantly elevated, ranging from 13.94 to 16.38 times higher than in healthy controls. The grasp reflex exhibited the highest risk for dementia. This meta-analysis showed that the prevalence and the risk of PRs is high in older patients with dementia. Therefore, PRs, especially the grasp reflex, should be carefully assessed as a part of routine physical examination in the diagnostic process for dementia.

The mediating role of coping strategies between caregiving burden and pre-death grief among Chinese adult-child caregivers of dementia patients.

The objective of this study was to examine the relationship between caregiving burden and pre-death grief, with a specific focus on adult-child caregivers in mainland China. Additionally, the study explored whether coping strategies played a mediating role in this correlation. A convenience sample of 320 adult-child caregivers of older parents with dementia from Kunming, mainland China, was recruited for the study. Data were collected using the Chinese version of the Marwit-Meuser Caregiver Grief Inventory-Short Form, the Burden Scale for Family Caregivers, and the Ways of Coping Checklist-Revised. Results using linear regression and multiple mediation analysis with Hayes' process model indicated that caregiving burden was positively related to pre-death grief and that active coping mediated the relationship between them. In the female group, active coping partially mediated the association between caregiving burden and pre-death grief, but in the male group, this mediating effect did not exist. The study found evidence supporting the link between caregiving burden and pre-death grief among adult-child caregivers of older parents with dementia in mainland China. Furthermore, the caregiving burden prevented the use of active coping, and this decrease in coping increased the perception of pre-death grief. These associations only existed in the female group. This paper presented the importance of active coping skills in the dementia caregiving process. The findings of this study emphasize the necessity for health practitioners to provide targeted interventions regarding pre-death grief among dementia caregivers and strengthen caregivers' active coping strategies to reduce their pre-death grief. Community-based and personal care support services should be promoted to alleviate their caregiving burden. We have adhered to the transparent reporting of evaluations with quantitative design statements and the corresponding checklist was followed. PATIENT OR PUBLIC CONTRIBUTION: 'No patient or public involvement'.

Dementia detection using parameter optimization for multimodal datasets

Dementia, a neurodegenerative disorder, is more prominent among elderly people. This disease is one of the primary contributors amongst other diseases having a high social impact in continents of Europe and America. Treatment of the neurological disorders of dementia patients have become possible due to the Advances in medical diagnosis as in the use of Magnetic Resonance Imaging (MRI). Artificial Intelligence (AI) and Machine Learning (ML) techniques have provided solutions that enable fast, accurate and autonomous detection of diseases at their early stage. This in turn has improvised the entire health care system. This study proposes a diagnostic method, based on ML, for detecting dementia disease. The Open Access Series of Imaging Studies (OASIS) database and Alzheimer’s dataset (4 class of images) have been used for testing and training of various ML models. This involves the classification of the dependent variable into demented and non-demented patient. ML models as in Support Vector Machine (SVM), Logistic Regression, Naïve Bayes, k-nearest neighbor (KNN), Random Forest, Adaptive Boosting (ADA boost), Gradient Boosting, XG Boost, were trained and tested using OASIS dataset. Models were trained with 70% of data and tested on 30% of data. Hyper tuning of parameters of these models was also carried out to check for improvement in the results. Analysis showed that Naïve Bayes was the best amongst all giving 95% accuracy, 98% precision, 93% recall and 95% F1-score.

Ranking and filtering of neuropathology features in the machine learning evaluation of dementia studies.

Early diagnosis of dementia diseases, such as Alzheimer's disease, is difficult because of the time and resources needed to perform neuropsychological and pathological assessments. Given the increasing use of machine learning methods to evaluate neuropathology features in the brains of dementia patients, it is important to investigate how the selection of features may be impacted and which features are most important for the classification of dementia. We objectively assessed neuropathology features using machine learning techniques for filtering features in two independent ageing cohorts, the Cognitive Function and Aging Studies (CFAS) and Alzheimer's Disease Neuroimaging Initiative (ADNI). The reliefF and least loss methods were most consistent with their rankings between ADNI and CFAS; however, reliefF was most biassed by feature-feature correlations. Braak stage was consistently the highest ranked feature and its ranking was not correlated with other features, highlighting its unique importance. Using a smaller set of highly ranked features, rather than all features, can achieve a similar or better dementia classification performance in CFAS (60%-70% accuracy with Naïve Bayes). This study showed that specific neuropathology features can be prioritised by feature filtering methods, but they are impacted by feature-feature correlations and their results can vary between cohort studies. By understanding these biases, we can reduce discrepancies in feature ranking and identify a minimal set of features needed for accurate classification of dementia.

Assessment of care-arrangement of people with dementia in Karachi by 10/66 protocol

Background and Objective:
 Pakistan is a low middle-income country (LMIC) in South Asia with a rising aging population. This study aimed to understand care-arrangement and resources of people with dementia (PWD) in Karachi, Pakistan.
 Methods:
 This cross-sectional mixed-method (qualitative and quantitative) study was carried out using 10/66 protocol for dementia patients. Data collection for the study was done from September 2016 till August 2017.This assessed characteristics of patients and caregivers, the economic impact of caregiving, and resources available to care for people with dementia (PWD).
 Results:
 One-hundred-twenty-eight PWD and their caregivers were included in the study. The average gross national product (GNP) per PWD per capita was $140. Majority of the caregivers were married women, family members, and full-time housewives. Three quarters of the caregivers were patients’ children or spouse residing with the patient, in a 2-to-3-bedroom house. Majority of the time of the caregivers’ day was spent with the PWD.
 Conclusion:
 In Pakistan majority of PWD are dependent on female family members for care. Caregiver roles are full-time responsibilities with little to no burden shared by others. There is low monthly GNP per PWD with a high cost of medical needs of PWD.

TDP-43-M323K causes abnormal brain development and progressive cognitive and motor deficits associated with mislocalised and increased levels of TDP-43

TDP-43 pathology is found in several neurodegenerative disorders, collectively referred to as “TDP-43 proteinopathies”. Aggregates of TDP-43 are present in the brains and spinal cords of >97% of amyotrophic lateral sclerosis (ALS), and in brains of ∼50% of frontotemporal dementia (FTD) patients. While mutations in the TDP-43 gene (TARDBP) are usually associated with ALS, many clinical reports have linked these mutations to cognitive impairments and/or FTD, but also to other neurodegenerative disorders including Parkinsonism (PD) or progressive supranuclear palsy (PSP). TDP-43 is a ubiquitously expressed, highly conserved RNA-binding protein that is involved in many cellular processes, mainly RNA metabolism. To investigate systemic pathological mechanisms in TDP-43 proteinopathies, aiming to capture the pleiotropic effects of TDP-43 mutations, we have further characterised a mouse model carrying a point mutation (M323K) within the endogenous Tardbp gene. Homozygous mutant mice developed cognitive and behavioural deficits as early as 3 months of age. This was coupled with significant brain structural abnormalities, mainly in the cortex, hippocampus, and white matter fibres, together with progressive cortical interneuron degeneration and neuroinflammation. At the motor level, progressive phenotypes appeared around 6 months of age. Thus, cognitive phenotypes appeared to be of a developmental origin with a mild associated progressive neurodegeneration, while the motor and neuromuscular phenotypes seemed neurodegenerative, underlined by a progressive loss of upper and lower motor neurons as well as distal denervation. This is accompanied by progressive elevated TDP-43 protein and mRNA levels in cortex and spinal cord of homozygous mutant mice from 3 months of age, together with increased cytoplasmic TDP-43 mislocalisation in cortex, hippocampus, hypothalamus, and spinal cord at 12 months of age. In conclusion, we find that Tardbp M323K homozygous mutant mice model many aspects of human TDP-43 proteinopathies, evidencing a dual role for TDP-43 in brain morphogenesis as well as in the maintenance of the motor system, making them an ideal in vivo model system to study the complex biology of TDP-43.

Relationships of change in Clinical Dementia Rating (CDR) on patient outcomes and probability of progression: observational analysis

BackgroundUnderstanding the relationship among changes in Clinical Dementia Rating (CDR), patient outcomes, and probability of progression is crucial for evaluating the long-term benefits of disease-modifying treatments. We examined associations among changes in Alzheimer’s disease (AD) stages and outcomes that are important to patients and their care partners including activities of daily living (ADLs), geriatric depression, neuropsychiatric features, cognitive impairment, and the probabilities of being transitioned to a long-term care facility (i.e., institutionalization). We also estimated the total time spent at each stage and annual transition probabilities in AD.MethodsThe study included participants with unimpaired cognition, mild cognitive impairment (MCI) due to AD, and mild, moderate, and severe AD dementia in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS) database. The associations among change in AD stages and change in relevant outcomes were estimated using linear mixed models with random intercepts. The probability of transitioning to long-term care facilities was modeled using generalized estimating equations. The total length of time spent at AD stages and annual transition probabilities were estimated with multistate Markov models.ResultsThe estimated average time spent in each stage was 3.2 years in MCI due to AD and 2.2, 2.0, and 2.8 years for mild, moderate, and severe AD dementia, respectively. The annual probabilities of progressing from MCI to mild, moderate, and severe AD dementia were 20, 4, and 0.7%, respectively. The incremental change to the next stage of participants with unimpaired cognition, MCI, and mild, moderate, and severe AD dementia (to death) was 3.2, 20, 26.6, 31, and 25.3%, respectively. Changes in ADLs, neuropsychiatric features, and cognitive measures were greatest among participants who transitioned from MCI and mild AD dementia to more advanced stages. Participants with MCI and mild and moderate AD dementia had increasing odds of being transitioned to long-term care facilities over time during the follow-up period.ConclusionsThe findings demonstrated that participants with early stages AD (MCI or mild dementia) were associated with the largest changes in clinical scale scores. Early detection, diagnosis, and intervention by disease-modifying therapies are required for delaying AD progression. Additionally, estimates of transition probabilities can inform future studies and health economic modeling.

Multifaceted Music Therapy for Depression in Dementia: A Network Meta-Analysis of Randomized Controlled Trials.

This study aimed to assess the efficacy of various music therapy interventions in ameliorating depressive symptoms in dementia patients, utilizing a network meta-analysis approach. We rigorously selected randomized controlled trials focused on music therapy for dementia with depressive symptoms from major electronic databases. The primary outcome measured was the impact on depressive symptoms, with the secondary outcome evaluating dropout rates across different intervention groups and standard care control groups. The research protocol has been duly registered with PROSPERO (Registration ID: CRD42023393059). Our network meta-analysis incorporated 14 randomized controlled trials involving a total of 1080 participants and examined a range of interventions, including active music therapy, listening to music, rhythmic music therapy, singing, and tailored music interventions. The analysis revealed that active music therapy combined with singing emerged as the most effective intervention, demonstrating a significant improvement in depressive symptoms in dementia patients (Standardized Mean Difference [SMD] = -0.89, 95% Confidence Interval [CI]: -1.48 to -0.30). In contrast, listening to music alone showed a smaller effect (SMD = -0.26, 95% CI: -0.71 to 0.20). This study was particularly noteworthy for not showing higher dropout rates compared to standard care, indicating its feasibility and acceptability in clinical settings. The findings of our study indicate that active music therapy combined with singing is an effective approach to reducing depressive symptoms in dementia patients, potentially due to enhanced social interaction. These results offer new perspectives for dementia care, suggesting a promising direction for further research and clinical application.

Multiomics Blood-Based Biomarkers Predict Alzheimer’s Predementia with High Specificity in a Multicentric Cohort Study

BackgroundThe primary criteria for diagnosing mild cognitive impairment (MCI) due to Alzheimer’s Disease (AD) or probable mild AD dementia rely partly on cognitive assessments and the presence of amyloid plaques. Although these criteria exhibit high sensitivity in predicting AD among cognitively impaired patients, their specificity remains limited. Notably, up to 25% of non-demented patients with amyloid plaques may be misdiagnosed with MCI due to AD, when in fact they suffer from a different brain disorder. The introduction of anti-amyloid antibodies complicates this scenario. Physicians must prioritize which amyloid-positive MCI patients receive these treatments, as not all are suitable candidates. Specifically those with non-AD amyloid pathologies are not primary targets for amyloid-modifying therapies. Consequently there is an escalating medical necessity for highly specific blood biomarkers that can accurately detect pre-dementia AD, thus optimizing amyloid antibody prescription.ObjectivesThe objective of this study was to evaluate a predictive model based on peripheral biomarkers to identify MCI and mild dementia patients who will develop AD dementia symptoms in cognitively impaired population with high specificity.DesignPeripheral biomarkers were identified in a gene transfer-based animal model of AD and then validated during a retrospective multi-center clinical study.SettingParticipants from 7 retrospective cohorts (US, EU and Australia).ParticipantsThis study followed 345 cognitively impaired individuals over up to 13 years, including 193 with MCI and 152 with mild dementia, starting from their initial visits. The final diagnoses, established during their last assessments, classified 249 participants as AD patients and 96 as having non-AD brain disorders, based on the specific diagnostic criteria for each disorder subtype. Amyloid status, assessed at baseline, was available for 82.9% of the participants, with 61.9% testing positive for amyloid. Both amyloid-positive and negative individuals were represented in each clinical group. Some of the AD patients had co-morbidities such as metabolic disorders, chronic diseases, or cardiovascular pathologies.MeasurementsWe developed targeted mass spectrometry assays for 81 blood-based biomarkers, encompassing 45 proteins and 36 metabolites previously identified in AAV-AD rats.MethodsWe analyzed blood samples from study participants for the 81 biomarkers. The B-HEALED test, a machine learning-based diagnostic tool, was developed to differentiate AD patients, including 123 with Prodromal AD and 126 with mild AD dementia, from 96 individuals with non-AD brain disorders. The model was trained using 70% of the data, selecting relevant biomarkers, calibrating the algorithm, and establishing cutoff values. The remaining 30% served as an external test dataset for blind validation of the predictive accuracy.ResultsIntegrating a combination of 19 blood biomarkers and participant age, the B-HEALED model successfully distinguished participants that will develop AD dementia symptoms (82 with Prodromal AD and 83 with AD dementia) from non-AD subjects (71 individuals) with a specificity of 93.0% and sensitivity of 65.4% (AUROC=81.9%, p<0.001) during internal validation. When the amyloid status (derived from CSF or PET scans) and the B-HEALED model were applied in association, with individuals being categorized as AD if they tested positive in both tests, we achieved 100% specificity and 52.8% sensitivity. This performance was consistent in blind external validation, underscoring the model’s reliability on independent datasets.ConclusionsThe B-HEALED test, utilizing multiomics blood-based biomarkers, demonstrates high predictive specificity in identifying AD patients within the cognitively impaired population, minimizing false positives. When used alongside amyloid screening, it effectively identifies a nearly pure prodromal AD cohort. These results bear significant implications for refining clinical trial inclusion criteria, facilitating drug development and validation, and accurately identifying patients who will benefit the most from disease-modifying AD treatments.

The Association between Acupuncture Therapy and the Risk of Disability Development in Dementia Patients: A Nationwide Cohort Study.

Disability is the comorbidity of dementia for which there is no available preventive measure. The aim of this study was to investigate the association between acupuncture treatment and the risk of disability development in dementia patients. A cohort study was performed using a nationwide health database in Taiwan. The included dementia patients were divided into acupuncture and non-acupuncture cohorts based on whether they received acupuncture treatment during the follow-up period. The variables in the two cohorts were controlled by 1:1 propensity-score matching. The difference in disability development in dementia patients between the acupuncture and non-acupuncture cohorts was also analyzed. Subgroup analyses were performed using socioeconomic variables, comorbidities and anti-dementia agents (donepezil, rivastigmine, galantamine and memantine) used for dementia treatment. A total of 9,760 dementia patients met our inclusion criteria, and patients were divided into an equal number (n=2,422) of acupuncture and non-acupuncture groups, respectively, after 1:1 propensity-score matching. The dementia patients had a lower risk of disability development after acupuncture treatment than those who did not receive acupuncture treatment (adjusted hazard ratio 0.65, 95% confidence interval 0.60-0.70, p < 0.001). The results were independent of basic variables or comorbidities in the two cohorts. Patients who did not use anti-dementia agents had a lower risk of developing disability after receiving acupuncture intervention than those who used anti-dementia agents. Our results revealed the relationship between acupuncture intervention and decreased risk of developing disability in dementia patients. The results are useful for dementia treatment, trial design and further planning of care programs.

Association between disease-modifying antirheumatic drugs for rheumatoid arthritis and risk of incident dementia: a systematic review with meta-analysis

BackgroundDysregulation of several inflammatory cytokines including tumour necrosis factor (TNF) in dementia patients has also been identified as a key factor in the pathogenesis of rheumatoid arthritis (RA). We aimed...

Tracing TMEM106B fibril deposition in aging and Parkinson’s disease with dementia brains

Abstract Transmembrane protein 106B (TMEM106B), previously identified as a risk factor in frontotemporal lobar degeneration, has recently been detected to form fibrillar aggregates in the brains of patients with various neurodegenerative diseases (NDs) and normal elders. While the specifics of when and where TMEM106B fibrils accumulate in human brains, as well as their connection to aging and disease progression, remain poorly understood. Here, we identified an antibody (NBP1-91311) that directly binds to TMEM106B fibrils extracted from the brain in vitro and to Thioflavin S-positive TMEM106B fibrillar aggregates in brain sections. We discovered that TMEM106B fibrils deposit in the human brain in an age-dependent manner. Notably, the TMEM106B fibril load in the brains of Parkinson’s disease with dementia patients was significantly higher than in age-matched elders. Additionally, we found that TMEM106B fibrils predominantly accumulate in astrocytes and neurons and do not co-localize with the pathological deposition formed by other amyloid proteins such as α-synuclein, Aβ, and Tau. Our work provides a comprehensive analysis of the burden and cellular distribution of TMEM106B fibrils in human brains, underscoring the impact of both aging and disease conditions on TMEM106B fibril deposition. This highlights the potential significance of TMEM106B fibrils in various age-related NDs.

Abstract TMP92: Dementia and Cognitive Impairment in Stroke: A Systematic Review and Meta-Analysis of Reperfusion Treatment Outcomes

Background: Endovascular thrombectomy (EVT) and intravenous thrombolysis (IVT) outcomes are unclear in patients with pre-stroke dementia or cognitive impairment. Although these individuals make up ~12% of acute stroke patients, they are often excluded from both stroke trials and routine care. This systematic review and meta-analysis explored reperfusion therapy outcomes in this population. Methods: Using the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines, this systematic review investigated studies on acute ischemic stroke patients with dementia or cognitive impairment treated with either IVT or EVT. Primary outcome was defined as favorable 90-day outcome (modified Rankin Scale (mRS) score 0-2). Secondary outcomes included 90-day mortality, radiographic intracranial hemorrhage (ICH) and symptomatic ICH (SICH). Results: 9 articles were included from 825 screened. 5 observational studies of IVT use in patients with (n=1078) and without dementia (n=2805) were selected for a meta-analysis. There were no significant differences in favourable 90-day mRS (adjusted OR 0.61, 95% CI 0.24 to 1.59), 90-day mortality (unadjusted OR of 1.19, 95% CI 0.86 to 1.64), ICH (unadjusted OR 1.32, 95% CI 0.79 to 2.19) and SICH (unadjusted OR of 0.94, 95% CI 0.70 to 1.25). EVT in dementia patients in one study found only increased odds of ICH (adjusted OR 1.57 95%CI 1.03 to 2.40). For patients with cognitive impairment, no significant association was found with assessed outcomes in a pooled analysis of 3 IVT studies and one EVT study found poorer 90-day mRS outcomes. Conclusions: This systematic review and meta-analysis suggests no considerable safety concerns for IVT or EVT use in patients with pre-existing dementia or cognitive impairment, compared to those without. Uncertainty remains in the efficacy of these therapies for these individuals. Rigorous, patient-caregiver informed design, and a more nuanced outcome approach are warranted for future studies. REGISTRATION: URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42021240499.

Bridging the Gap: A Comparative Analysis of Healthcare Quality Perceptions Between the Older People and Healthcare Providers.

In our study aimed at improving the healthcare system for the aging population, we compared healthcare quality evaluations between 96 older individuals and 30 healthcare providers in Split-Dalmatia County (Croatia). Using nonparametric analyses such as the Mann-Whitney and Wilcoxon tests on Likert scale questionnaire scores, we found most participants highlighted challenges such as healthcare affordability, long wait times, reliance on private care, poor public transportation, and insufficient rural healthcare services. Healthcare providers rated these quality indicators even more negatively. Both groups rated healthcare for dementia patients notably lower, while emergency response, treatment quality, and hospitalization ease were generally rated positively. The heightened awareness among healthcare providers raises the question: why is there a significant delay between recognizing these problems and implementing effective solutions to address them?

Person-centred support plans and staff wellbeing innovations for in-patient dementia care: A service development project

Comprehensive person-centred support plans are completed for all people living with dementia admitted to Holbrook ward, a dementia specialist unit in the Oxleas NHS Foundation Trust. However, staff have faced barriers in using these effectively for person-centred care due to the demanding and busy nature of the ward environment. It has also been challenging for new, bank, and agency staff to find time to read about and understand the person living with dementia, leading to escalation in situations which could have been avoided. In collaboration with nursing staff, the psychology team developed support plan flash cards that serve the purpose of being a ‘grab and go’ style resource. These are targeted at individuals with more complex presentations and used during handovers and when staff are on one-to-one observations, providing a useful snippet of information about the person living with dementia. The psychology team also developed a wellbeing support plan for staff, with tips for keeping well and supporting their own mental health and wellbeing.

The emerging role of nitric oxide in the synaptic dysfunction of vascular dementia.

With an increase in global aging, the number of people affected by cerebrovascular diseases is also increasing, and the incidence of vascular dementia-closely related to cerebrovascular risk-is increasing at an epidemic rate. However, few therapeutic options exist that can markedly improve the cognitive impairment and prognosis of vascular dementia patients. Similarly in Alzheimer's disease and other neurological disorders, synaptic dysfunction is recognized as the main reason for cognitive decline. Nitric oxide is one of the ubiquitous gaseous cellular messengers involved in multiple physiological and pathological processes of the central nervous system. Recently, nitric oxide has been implicated in regulating synaptic plasticity and plays an important role in the pathogenesis of vascular dementia. This review introduces in detail the emerging role of nitric oxide in physiological and pathological states of vascular dementia and summarizes the diverse effects of nitric oxide on different aspects of synaptic dysfunction, neuroinflammation, oxidative stress, and blood-brain barrier dysfunction that underlie the progress of vascular dementia. Additionally, we propose that targeting the nitric oxide-sGC-cGMP pathway using certain specific approaches may provide a novel therapeutic strategy for vascular dementia.

A Storytelling Therapy Technique for Dementia Patients through a Mobile Application: “A Stroll Down Memory Lane”

A Storytelling Therapy Technique for Dementia Patients through a Mobile Application: “A Stroll Down Memory Lane”

Aproximación a la Intervención de la Demencia desde los Cuidados Paliativos

This research explores dementia and its characteristics, along with an approach from the perspective of palliative care intervention. The theoretical framework is structured from the elements that characterize dementia, the differential diagnosis with respect to dementia whose origin is of another etiology, together with a general vision of palliative care and the intervention models that are developed from this. . The methodology used was a bibliographic review, focused on studies that had a close relationship with the topic under study and that also allowed us to have an updated vision of the topic. Among the discussion elements, the importance of having a holistic perspective in the treatment of the dementia patient is highlighted, which covers the clinical, emotional, social and spiritual aspects. Also, the importance of respect for the patient's autonomy is emphasized, this being a key aspect for the decisions that will be made in the therapeutic process.

Care sequences leading to the diagnosis of Alzheimer's disease and related dementias: An analysis of electronic health records.

We examined the sequences of clinical care leading to diagnoses of Alzheimer's disease and related dementias (ADRD) using electronic health records from a large academic medical center. We included patients aged 65+ with their first ADRD diagnoses from January 1, 2014 to December 31, 2019. Using state sequence analysis, care sequences were defined by the ordering of healthcare utilizations occurred in the 2 years before ADRD diagnosis. Of 3621 patients (median age 80), nearly half followed a care sequence of having one primary care visit close to their ADRD diagnosis. Additional care sequences included periodic (n=322, 8.9%) and multiple (n=416, 11.5%) outpatient visits to primary care and having one (n=395, 10.9%), multiple (n=469, 13.0%), or highly frequent (n=357, 10.7%) outpatient visits to other specialties. Patients' sociodemographic traits contributed to the variability in care sequences. Several distinct patterns of care leading to ADRD diagnoses were identified. Integrated care models are needed to promote early identification of ADRD. Dementia patients followed distinct care pathways prior to their dementia diagnoses. Key sociodemographic traits contributed to the variation in the sequences of care. Racial differences in the sequencing of care were also found, but only in women.

Model Konsep Teori Keperawatan Katherine Kolcaba

Katherine Kolcaba originally wrote comfort theory in Alzheimer's and dementia patients. However, Katherine herself has written several articles in the nursing field regarding her theory. When Kolcaba developed his theory, he used logical reasoning. He uses induction, deduction, subtraction. Kolcaba uses existing frameworks to synthesize or identify comfort types. This book has a provocative and profound effect, encouraging psychologists to study personality holistically and in depth and emphasizing the complex interactions between individual, social, and cultural characteristics. This is an excellent starting point for this theory because comfort is best achieved through holistic treatment. He also begins with the analytical concept of the term "comfort". Katherine Kolcaba collects definitions of “comfort” from various scientific disciplines. In comfort theory, the metaparadigm proposition of nursing action is used.