Senile Dementia Patients Research Articles

Mortality rate of pulmonary infection in senile dementia patients: A systematic review and meta-analysis.

Dementia is estimated that this kind of neurodegenerative disease directly affects 50 million patients worldwide. About 12% to 70% death of dementia disease can be attributed to pneumonia. We aimed to evaluate the pneumonia-related mortality of dementia patients and how the frequency of pneumonia-related death varies according to the data of death (autopsy or death certificate). English literatures published from PubMed and Embase databases were extracted. Stata/SE 16.0 software was used for statistical analysis. In the end, a total of 7 studies were finally included in this meta-analysis. The results showed that: (1) The total mortality rate associated with pneumonia was 24.68% (95% confidence interval [CI]: 19.07%, 30.29%); (2) The pneumonia-related mortality rate of dementia patients confirmed by autopsy was 56.14% (95% CI: 32.36%, 79.92%); (3) The pneumonia-related mortality rate of dementia patients confirmed by death certificate was 16.12% (95% CI: 9.98%, 22.26%); (4) The pneumonia-related direct mortality rate of dementia patients was 50.07% (95% CI: 34.85%, 65.30%); (5) The pneumonia-related indirect mortality rate of dementia patients was 12.43% (95% CI: 5.85%, 19.00%); (6) The hospital-reported mortality rate of dementia patients related to pneumonia was 12.66% (95% CI: 6.60%, 18.72%); (7) The mortality rate of dementia patients related to pneumonia was 17.48% (95% CI: 10.60%, 24.38%). This meta-analysis shows that the pneumonia-related mortality of dementia patients is much higher than the expectation of clinicians. The results of the study greatly warned clinicians to pay close attention to pneumonia cases of senile dementia patients.

Deep learning-based companion robot on senile dementia patients

BackgroundThere are currently at least 50 million dementia patients worldwide, and this number is expected to reach 152 million by 2050, of which about 60-70% will be Alzheimer’s patients. The companion robot based on deep learning is a product of the development of artificial intelligence technology, which is of great significance to the physical and mental health of the elderly, so it is used in the research on the treatment of Alzheimer’s patients.Subjects and Methods100 patients with Alzheimer’s disease in a hospital were selected for the study, and 50 patients were randomly divided into experimental group and control group. In the experiment, 50 patients with Alzheimer in the experimental group used a companion robot based on deep learning for auxiliary treatment while carrying out daily treatment. The control group of 50 patients did not receive any adjuvant therapy in addition to daily treatment. After three months of treatment, the study used the 3D-CAM and the mini–mental state examination (MMSE) to collect the treatment status of all patients, and used the SPSS23.0 statistical software to statistically analyze the collected data.ResultsAfter statistical analysis, the results of the two groups were obtained. The scores of 3D-CAM and MMSE in the experimental group were significantly higher than those in the control group and the difference was statistically significant.ConclusionsCompanion robots based on deep learning are helpful in the treatment of Alzheimer’s patients. They can improve the therapeutic effect and have certain social value.AcknowledgementThe Fundamental Research Funds in Heilongjiang Provincial Universities (No.135309356); Qiqihar University Young Teachers’ Scientific Research Initiation Support Program (No.2012k-M17).

Effect of anti-aspiration nursing on aspiration rate in elderly senile dementia patients.

Effect of anti-aspiration nursing on aspiration rate in elderly senile dementia patients.

Effects of specialized nursing intervention based on quantitative assessment strategy on psychological state and quality of life of patients with senile dementia.

To explore the effects of specialized nursing intervention based on quantitative evaluation strategy on the psychological state and quality of life of senile dementia patients. 92 senile dementia patients were divided into the control and intervention groups (n = 46 each). Control group was given routine nursing intervention, while intervention group was given specialized nursing intervention based on the quantitative evaluation strategy. Patients' self-care ability, cognitive function, nursing compliance, psychological state, quality of life, and patient satisfaction indexes were measured. After nursing interventions, the self-care ability (71.73 ± 4.31 vs 63.82 ± 3.97 points) and cognitive functions such as orientation (7.96 ± 1.02 vs 6.53 ± 1.15), memory (2.16 ± 0.39 vs 1.69 ± 0.31), visual-spatial copying (3.78 ± 0.53 vs 3.02 ± 0.65), language skills (7.49 ± 1.26 vs 6.05 ± 1.28), and recall ability (2.13 ± 0.26 vs 1.75 ± 0.28) were significantly improved in the intervention group compared to the control group (P ˂ 0.05). The patient's compliance in the intervention group (95.65%) was prominently higher than the control group (80.43%) (P < 0.05). Notably, patient's psychological state (anxiety and depression) in the intervention group (47.42 ± 3.12 vs 51.39 ± 3.16, 48.52 ± 2.51 vs 52.83 ± 2.49) was better than the control group (P < 0.05). Furthermore, the quality of life was significantly improved in the intervention group (88.11 ± 1.11 vs 71.52 ± 1.24) compared to the control group (P < 0.05). Also, patients' satisfaction with nursing services in the intervention group (97.83%) was higher than the control group (78.26%) (P < 0.05). Specialized nursing intervention based on quantitative evaluation strategy can effectively improve patients' self-care ability, and cognitive function, reduce anxiety and depression and enhance the quality of life, which is worthy of clinical promotion and application.

Expression of matrix metalloproteinase in patients with Alzheimer and mechanism of huangqi granule (astragalus saponins) intervention

This study investigated expression of matrix metalloproteinases in senile dementia patients and mechanism of Huangqi granule intervention. 78 cases of senile dementia patients were selected as observation group from June 2017 to June 2019, while 62 cases of healthy people were enrolled as control group. Blood samples were collected after admission and levels of matrix metalloproteinase 3,9,13 (MMP-3,9,13) were determined. The observation group was randomly and equally assigned into donepezil hydrochloride group and combined drug group. Mental state examination (MMSE) and Boston diagnostic aphasia test (BDAE) were used to compare the two groups. Montreal Cognitive Assessment (MoCA), Dementia Scale (HDS) scores, biochemical index levels and drug safety were also used. MMP-2, MMP-9 and urinary plasminogen activator levels in observation group were higher and ZO-1 was lower than control group along with higher MMP-3,9,13 mRNA levels (p &lt; 0.05) which were reduced after 3 months of treatment. MMSE scale, BDAE, MoCA, and HDS scores in the combined drug group were higher after 3 months of treatment (p &lt; 0.05). The level of NSE (neuron-specific enolase) was higher and SOD level was lower than in the donepezil hydrochloride group (p &lt; 0.05); nausea and vomiting, muscle spasms, insomnia bradycardia and gastrointestinal bleeding incidence in two groups showed no differences (p &gt; 0.05). The intervention of Huangqi granules can improve cognitive function of patients, inhibit matrix metalloproteinase, thereby improving the level of biochemical indicators without increasing the incidence of complications.

Retracted: Clinical Observation on the Effect of Systematic Nursing Intervention on Cognitive Function, Life Activity Ability, and Quality of Life of Senile Dementia Patients.

[This retracts the article DOI: 10.1155/2021/2839142.].

Management Strategy of Alzheimer's Patients under the Medical-Care Integration Model Based on Big Data Evaluation.

In the context of the era of big data, the management of Alzheimer's patients has aroused widespread concern in the society. What should the elderly and people with dementia do and how the society should accommodate these special groups have aroused heated discussions in the society. The goal of the medical-nursing integration model is to realize the integrated model of medical care-nursing-rehabilitation-old care, and to better satisfy the needs by providing medical services, rehabilitation care, and health management. The medical needs of the elderly can help the elderly maintain a healthy state; the elderly care needs can be better met through elderly care services, and the burden on families and society can be reduced. With the advancement of the medical-care integration model, new solutions have been provided for the management of senile dementia patients. Therefore, under the medical-care integration model, this paper managed Alzheimer's patients based on the big data algorithm based on association rules and compared it with the management of Alzheimer's patients under the traditional model, and drew the following conclusions: compared with the management satisfaction of Alzheimer's patients under the traditional model, family members and patients' total satisfaction with nursing management under the medical-care integration model was greatly improved; compared with the management of Alzheimer's patients under the traditional model, the incidence of adverse events in the management of Alzheimer's patients under the medical-care integration model was greatly reduced, which was reduced to 17.6%; under the medical-care integration model, the anxiety and depression scores of the elderly patients with dementia decreased rapidly; under the medical-care integration model, the living ability of senile dementia patients has been greatly improved; the use of the medical-care integration model to manage senile dementia patients has greatly improved the sleep quality, mental quality, and quality of life of senile dementia patients.

Research Progress on Oral Health status of Senile Dementia Patients

Research Progress on Oral Health status of Senile Dementia Patients

Computer Internet of Things-Based Intelligent Medical System to Be Applied in Home Care of Senile Dementia Patients

It was to explore the accuracy of intelligent home medical system based on Internet of Things (IoT) technology and its application value in home care of senile dementia patients. Based on IoT, 5th generation wireless systems (5G), and smart wearable technology, intelligent home medical system was designed from the perspectives of system environment and system design. Smart wearable technology-based wearable smart clothes could recognize and collect electrocardiosignal, breathing signal, body sway signal, and body temperature signal. The data were transmitted to the application layer through the information transmission and processing modules of middle layer, and the extraction accuracy of behavioral features and behavior correct recognition rate of the system were analyzed. 64 senile dementia patients treated in the hospital between January 2019 and June 2020 were selected as the research objects. They were divided into control group (routine family care) and observation group (intelligent medical care system) according to different nursing methods. Each group included 32 cases. Activity of daily living (ADL) scores, nursing satisfaction, and the accidents during care of the patients in two groups before and after care were summarized. The results showed that the behavioral feature extraction accuracy of intelligent home medical system was above 74.59% and its correct recognition rate of different behaviors reached over 98.5%. ADL score in the observation group was lower than that in the control group 3 months after care ( P &lt; 0.05 ). ADL score in the observation group was significantly lower than that in the control group ( P &lt; 0.01 ) 6 months after care. The satisfaction of the observation group was 78.13% (25 cases), which was remarkably higher than that of the control group (31.25%, 10 cases) ( P &lt; 0.001 ). The total satisfaction of the observation group amounted to 93.75% (30 cases), which was higher than that of the control group (68.75%, 22 cases) ( P &lt; 0.01 ). The total incidence of accidents in the control and observation groups was 28.13% and 3.13%, respectively. Obviously, the total incidence of accidents in the observation group was higher than that in the control group ( P &lt; 0.001 ). The above results showed that the established intelligent medical care system demonstrated potential application values in home care, which provided a new idea for the nursing methods for senile dementia patients.

5-Year Readmission Status and Risk Factors for Senile Dementia Patients: A Study Based on Chengdu Municipal Medical Insurance Database

To study the status quo of the readmission of senile dementia patients in Chengdu, and to analyze the primary diagnosis, the economic burden and the influencing factors of readmission. Dementia inpatients aged 60 and above in Chengdu were the subjects of this study. The subjects were diagnosed with dementia between 2013 and 2017. Their heath insurance coverage was either the basic medical insurance for urban employees in Chengdu or the basic medical insurance for urban and rural residents of Chengdu. The rank sum test and the chi-square test were conducted to analyze the differences in readmission rate and the economic burden of hospitalization among subjects with different characteristics. Logistic regression was done to analyze the factors affecting readmission. The total number of dementia inpatients over the 5-year period was 27881 patients (78820 admissions). The 30-day readmission rate was 25.14% (7011/27881) and the 5-year readmission rate was 45.79% (12767/27881). The primary diagnoses of 12767 readmitted patients mainly included dementia (28.57%), circulatory system diseases (24.26%), and respiratory system diseases (23.71%). The economic burden of hospitalization was higher for readmitted patients than that of patients who were not readmitted ( Z=33.777, P<0.001). The occurrence of readmission was correlated to the following factors, advanced age (compared to that of the 60-65 yr. group, the 70-75 yr. group: odds ratio [ OR]=1.123, 95% confidence interval [ CI]: 1.019-1.237, and the 75-80 yr. group: OR=1.123, 95% CI: 1.108-1.218), participation in the basic medical insurance for urban employees ( OR=1.674, 95% CI: 1.578-1.775), types of dementia (compared to unspecified dementia, Alzheimer's dementia group: OR=1.256, 95% CI: 1.163-1.357, Parkinson's disease dementia group: OR=1.774, 95% CI: 1.658-1.898, and mixed-type dementia group: OR=1.750, 95% CI: 1.457-2.103), disease condition (compared with patients with only dementia, those who have other diseases: OR=0.536，95% CI ：0.493-0.583), length of hospital stay ( OR=1.593, 95% CI: 1.552-1.635), and staying at a lower level hospital (compared to that of tertiary hospitals, secondary hospitals: OR=1.319, 95% CI: 1.248-1.395, primary hospitals: OR=1.744, 95% CI: 1.608-1.891, and other hospitals: OR=1.465, 95% CI: 1.311-1.537). Senile dementia patients have a high 30-day readmission rate, and the readmission entails heavy economic burdens on the patients. For the populations covered by medical insurance, the following features are correlated to the occurrence of readmission: advanced age, coverage by the basic medical insurance for urban employees, Alzheimer's dementia, Parkinson's disease dementia, mixed-type dementia, dementia patients without other comorbidities, extended length of stay, and hospitalization at a lower level hospital. However, further research is needed for better understanding of the specific mechanisms so that readmission of senile dementia patients can be reduced and the economic burden of the disease can be minimized.

Nursing Progress of Mental Symptoms in Senile Dementia Patients

Nursing Progress of Mental Symptoms in Senile Dementia Patients

Application of Predictive Nursing Program in Nursing of Senile Dementia Patients

Application of Predictive Nursing Program in Nursing of Senile Dementia Patients

Effect of Montessori method on the cognitive and behavioral intervention of senile dementia patients: a meta-analysis

Effect of Montessori method on the cognitive and behavioral intervention of senile dementia patients: a meta-analysis

Leveraging Wearables for Assisting the Elderly With Dementia in Handwashing

Proper handwashing, having a crucial effect on reducing bacteria, serves as the cornerstone of hand hygiene. For elders with dementia, they suffer from a gradual loss of memory and difficulty coordinating handwashing steps. Proper assistance should be provided to them to ensure their hand hygiene adherence. Toward this end, we propose AWash, leveraging inertial measurement unit (IMU) readily available in most wrist-worn devices (e.g., smartwatches) to characterize handwashing actions and provide assistance. To monitor handwashing scenarios round-the-clock while achieving energy efficiency, we design methods that distinguish handwashing from other daily activities and dynamically adjust the sampling duty cycle. Upon detecting handwashing actions, we design several novel techniques to segment different handwashing actions and extract sensor-body inclination angles that handle particular interference of senile dementia patients. Moreover, a user-independent network model is built to recognize the handwashing actions of senile dementia patients without requiring their training data. Furthermore, we propose a transfer learning method that improves system performance. To meet users&#x2019; diverse needs, we use a state machine to make prompt decisions, supporting customized assistance. Extensive experiments on a prototype with eight older participants demonstrate that AWash can increase the user&#x2019;s independence in the execution of handwashing.

Research Progress of Psychological Nursing Intervention on Senile Dementia Patients

Research Progress of Psychological Nursing Intervention on Senile Dementia Patients

Clinical Observation on the Effect of Systematic Nursing Intervention on Cognitive Function, Life Activity Ability, and Quality of Life of Senile Dementia Patients.

Objective To explore the influence of systematic nursing intervention on the life ability and quality of senile dementia patients. Methods Total of 82 senile dementia patients who were admitted to our hospital from January 2018 to January 2020 were divided into two groups according to the random number table, and the nursing intervention was analyzed. 41 patients in the control group were given routine nursing care, and 41 patients in the observation group were given systematic nursing intervention. Patients were assessed cognitively using the Montreal Cognitive Assessment Scale (MoCA). The Barthel index and SF-36 were used to evaluate the patients' daily activity function and quality of life. A Symptom Checklist-90-Revised (SCL-90-R) was used to assess mental distress. The Social-Adaptive Function Rating Scale (SAFE) and Social Skills Inventory (SSC) were used to evaluate the patients' social interaction ability before and after nursing intervention. Nursing satisfaction was distributed to patients in the form of a self-prepared nursing satisfaction questionnaire for scoring. Results After the nursing intervention, the MoCA scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After the nursing intervention, the Barthel index scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After the nursing intervention, the SF-36 scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After nursing intervention, the SCL-90-R scores of patients in the two groups were lower than those before nursing intervention, and the scores in the observation group were lower than those in the control group (P < 0.05). After the nursing intervention, the SAFE scores of patients in the two groups were lower than those before the nursing intervention, and the safe scores of the observation group were lower than those of the control group (P < 0.05). After the nursing intervention, the SSC scores of patients in the two groups were lower than those before the nursing intervention, and the scores in the observation group were lower than those in the control group (P < 0.05). After nursing intervention, the total satisfaction degree of the control group (80.49%) was lower than that of the observation group (97.56%) (P < 0.05). Conclusion The implementation of systematic nursing intervention is conducive to improve the cognitive function, activity of life, and quality of life of senile dementia patients who have a positive effect, and nursing satisfaction is higher.

Effects Analysis of Detail Management of Feeding on Nutritional Status and Complications of Senile Dementia Patients

Effects Analysis of Detail Management of Feeding on Nutritional Status and Complications of Senile Dementia Patients

Effect Discussion on Rehabilitation Nursing for Improving the Quality Life of Senile Dementia Patients

Effect Discussion on Rehabilitation Nursing for Improving the Quality Life of Senile Dementia Patients

Effect of Safety Nursing Management Mode on Hospitalization Safety and Complications of Senile Dementia Patients

Effect of Safety Nursing Management Mode on Hospitalization Safety and Complications of Senile Dementia Patients

Effect of Early Dysphagia Screening and Rehabilitation Nursing on Health Level of Senile Dementia Patients

Effect of Early Dysphagia Screening and Rehabilitation Nursing on Health Level of Senile Dementia Patients