Can Electronic Tools Help Improve Nursing Home Quality?

Background. Nursing homes face challenges in the coming years due to the increased number of elderly. Quality will be under pressure, expectations of the services will rise, and clinical complexity will grow. New strategies are needed to meet this situation. Modern clinical information systems with decision support may be part of that. Objectives. To study the impact of introducing an electronic patient record system with decision support on the use of warfarin, neuroleptics and weighing of patients, in nursing homes. Methods. A prevalence study was performed in seven nursing homes with 513 subjects. A before-after study with internal controls was performed. Results. The prevalence of atrial fibrillation in the seven nursing homes was 18.8%. After intervention, the proportion of all patients taking warfarin increased from 3.0% to 9.8% (P = 0.0086), neuroleptics decreased from 33.0% to 21.5% (P = 0.0121), and the proportion not weighed decreased from 72.6% to 16.0% (P < 0.0001). The internal controls did not change significantly. Conclusion. Statistics and management data can be continuously produced to monitor the quality of work processes. The electronic health record system and its system for decision support can improve drug therapy and monitoring of treatment policy

Diffusion tension imaging is a good tool for assessing patients with dementia and behavioral problems and discriminating them from other dementia patients

Background Dementia is one of the leading public health concerns as the world’s population ages. Although Alzheimer’s disease (AD) is the most common dementia diagnosis among older patients, some patients have additional behavioral symptoms. It is therefore important to provide an exact diagnosis, both to provide the best possible treatment for patients and to facilitate better understanding. Purpose To investigate whether magnetic resonance imaging (MRI) with fractional anisotropy (FA) can accurately find patients with behavioral symptoms within a group of AD patients. Material and Methods Forty-five patients from the geriatric outpatient clinic were recruited consecutively to form a group of patients with AD and behavioral symptoms (AD + BS) and a control group of 50 patients with established AD. All patients had a full assessment for dementia to establish the diagnosis according to ICD-10. MRI included 3D anatomical recordings for morphometric measurements, DTI for fiber tracking, and quantitative assessment of regional white matter integrity. The DTI analyses included computing of the diffusion tensor and its derived FA index. Results We found a significant difference in FA values between the patient groups’ frontal lobes. The FA was greater in the study group in both left (0.39 vs 0.09, p < 0.05) and right (0.40 vs 0.16, p < 0.05) frontal lobes. Conclusion MRI with FA will find damage in frontal tracts and may be used as a diagnostic tool and be considered a robust tool for the recognizing different types of dementia in the future.publishedVersio

Explainable artificial intelligence for human-machine interaction in brain tumor localization

Primary malignancies in adult brains are globally fatal. Computer vision, especially recent developments in artificial intelligence (AI), have created opportunities to automatically characterize and diagnose tumor lesions in the brain. AI approaches have provided scores of unprecedented accuracy in different image analysis tasks, including differentiating tumor-containing brains from healthy brains. AI models, however, perform as a black box, concealing the rational interpretations that are an essential step towards translating AI imaging tools into clinical routine. An explainable AI approach aims to visualize the high-level features of trained models or integrate into the training process. This study aims to evaluate the performance of selected deep-learning algorithms on localizing tumor lesions and distinguishing the lesion from healthy regions in magnetic resonance imaging contrasts. Despite a significant correlation between classification and lesion localization accuracy (R = 0.46, p = 0.005), the known AI algorithms, examined in this study, classify some tumor brains based on other non-relevant features. The results suggest that explainable AI approaches can develop an intuition for model interpretability and may play an important role in the performance evaluation of deep learning models. Developing explainable AI approaches will be an essential tool to improve human–machine interactions and assist in the selection of optimal training methods.publishedVersio

Hospital Admissions from Nursing Homes: Rates and Reasons

Hospital admissions from nursing homes have not previously been investigated in Norway. During 12 months all hospital admissions (acute and elective) from 32 nursing homes in Bergen were recorded via the Norwegian ambulance register. The principal diagnosis made during the stay, length of stay, and the ward were sourced from the hospital's data register and data were merged. Altogether 1,311 hospital admissions were recorded during the 12 months. Admissions from nursing homes made up 6.1% of the total number of admissions to medical wards, while for surgical wards they made up 3.8%. Infections, fractures, cardiovascular and gastri-related diagnoses represented the most frequent admission diagnoses. Infections accounted for 25.0% of admissions, including 51.0% pneumonias. Of all the admissions, fractures were the cause in 10.2%. Of all fractures, hip fractures represented 71.7. The admission rate increased as the proportion of short-term beds increased, and at nursing homes with short-term beds, admissions increased with increasing physician coverage. Potential reductions in hospitalizations for infections from nursing homes may play a role to reduce pressure on medical departments as may fracture prevention. Solely increasing physician coverage in nursing homes will probably not reduce the number of hospitalizations

Temporomandibular joint pain and associated magnetic resonance findings: a retrospective study with a control group

Background To better understand and evaluate clinical usefulness of magnetic resonance imaging (MRI) in diagnosis and treatment of temporomandibular disorders (TMD), parameters for the evaluation are useful. Purpose To assess a clinically suitable staging system for evaluation of MRI of the temporomandibular joint (TMJ) and correlate the findings with age and some clinical symptoms of the TMJ. Material and Methods Retrospective analysis of 79 consecutive patients with clinical temporomandibular disorder or diagnosed inflammatory arthritis. Twenty-six healthy volunteers were included as controls. Existing data included TMJ pain, limited mouth opening (<30 mm) and corresponding MRI evaluations of the TMJs. Results The patients with clinical TMD complaints had statistically significantly more anterior disc displacement (ADD), disc deformation, caput flattening, surface destructions, osteophytes, and caput edema diagnosed by MRI compared to the controls. Among the arthritis patients, ADD, effusion, caput flattening, surface destructions, osteophytes, and caput edema were significantly more prevalent compared to the healthy volunteers. In the control group, disc deformation and presence of osteophytes significantly increased with age, and a borderline significance was found for ADD and surface destructions on the condylar head. No statistically significant associations were found between investigated clinical and MRI parameters. Conclusion This study presents a clinically suitable staging system for comparable MRI findings in the TMJs. Our results indicate that some findings are due to age-related degenerative changes rather than pathological changes. Results also show that clinical findings such as pain and limited mouth opening may not be related to changes diagnosed by MRI.publishedVersio

Hippocampal volumes are important predictors for memory function in elderly women

<p>Abstract</p> <p>Background</p> <p>Normal aging involves a decline in cognitive function that has been shown to correlate with volumetric change in the hippocampus, and with genetic variability in the APOE-gene. In the present study we utilize 3D MR imaging, genetic analysis and assessment of verbal memory function to investigate relationships between these factors in a sample of 170 healthy volunteers (age range 46–77 years).</p> <p>Methods</p> <p>Brain morphometric analysis was performed with the automated segmentation work-flow implemented in FreeSurfer. Genetic analysis of the APOE genotype was determined with polymerase chain reaction (PCR) on DNA from whole-blood. All individuals were subjected to extensive neuropsychological testing, including the California Verbal Learning Test-II (CVLT). To obtain robust and easily interpretable relationships between explanatory variables and verbal memory function we applied the recent method of conditional inference trees in addition to scatterplot matrices and simple pairwise linear least-squares regression analysis.</p> <p>Results</p> <p>APOE genotype had no significant impact on the CVLT results (scores on long delay free recall, CVLT-LD) or the ICV-normalized hippocampal volumes. Hippocampal volumes were found to decrease with age and a right-larger-than-left hippocampal asymmetry was also found. These findings are in accordance with previous studies. CVLT-LD score was shown to correlate with hippocampal volume. Multivariate conditional inference analysis showed that gender and left hippocampal volume largely dominated predictive values for CVLT-LD scores in our sample. Left hippocampal volume dominated predictive values for females but not for males. APOE genotype did not alter the model significantly, and age was only partly influencing the results.</p> <p>Conclusion</p> <p>Gender and left hippocampal volumes are main predictors for verbal memory function in normal aging. APOE genotype did not affect the results in any part of our analysis.</p

Psychoactive drugs in seven nursing homes

Aims: We wanted to pinpoint any differences in treatment between participating nursing homes, investigate which drugs are currently prescribed most frequently for long-term patients in nursing homes, estimate prevalence of administration for the following drug groups: neuroleptics, antidepressants, antidementia agents, opioids and the neuroleptics/anti-Parkinson’s drug combination, and study comorbidity correlations. We also wanted to study differences in the administration of medications to patients with reduced cognitive functions in relation to those with normal cognition. Methods: Information about 513 patients was collected from seven nursing homes in the city of Bergen, Norway, during the period March–April 2008. This consisted of copying personal medication records, weighing, recording the previous weight from records, electrocardiography, anamnestic particulars of any stroke suffered, recording if there is cognitive impairment or not and analyzing a standardized set of blood samples. Results: Considerable treatment differences existed between nursing homes, both percentage patients and Defined Daily Dosages. Patients with reduced cognitive functions were prescribed less drugs in general, except neuroleptics. Of all patients, 41.5% were given antidepressants, 24.4% neuroleptics, 22.0% benzodiazepines, 8.0% anticholinesterases and 5.0% memantine. The ratio of traditional to atypical neuroleptics was 122:23. In all, 30.0% of the patients taking neuroleptics were on more than one drug and 35.0% of the patients had opioids by way of regular or asneeded drugs, ratio 14.6%:28.7%. Of 146 patients on neuroleptics, five patients had anti-Parkinson’s drugs too. The average use of regular drugs for patient with intact cognition was 7.1 drugs, and for patients with reduced cognitive functions 5.7 drugs. Conclusions: There are differences in treatment with psychoactive drugs between nursing homes. Patients with reduced cognitive functions receive less cardiovascular drugs than patients with normal cognition. The reason for this still remains unclear. Improvement strategies are needed. The proportion of patients per institution on selected drugs can serve as a feedback parameter in quality systems

Atrial fibrillation and heart failure in seven nursing homes

Objectives: Previous research suggests that blood-thinning treatment for patients with atrial fibrillation as well as treatment for patients with heart failure is not adequate among the elderly. We tested this among long-term patients in nursing homes. Methods: Information about the patients (n = 513) was collected during the period March-April 2008. Data collection consisted of electrocardiography, particulars of any stroke suffered and copying medication records. A standardized set of blood samples was analyzed. Results: Of the 91 atrial fibrillation patients, 14.3% were anticoagulated with warfarin. 42.0% of the patients with atrial fibrillation had no form of antithrombotic treatment. Prevalence of atrial fibrillation was 18.8% and high B-type natriuretic peptide (ProBNP > 225 pmol/L) 13.2%. Of the patients with both stroke and atrial fibrillation, 24.3% were given warfarin. Of the 59 patients with ProBNP > 225 pmol/L and adequate renal function (eGFR > 50 ml/min), 22.0% were given ACE/A2B. Conclusions: The warfarin treatment rate was lower than recommended for patients with atrial fibrillation in nursing homes, as was probably the use of ACE-inhibitors to heart -failure patients. We found significant differences between the nursing homes with regard to treatment rate. Atrial fibrillation and heart failure case finding and monitoring in nursing homes needs to be improved and simple tools like recording and reporting irregular pulse by doctors and nurses and measure ProBNP on a regular basis may improve this

Diffusion tension imaging is a good tool for assessing patients with dementia and behavioral problems and discriminating them from other dementia patients

Background Dementia is one of the leading public health concerns as the world’s population ages. Although Alzheimer’s disease (AD) is the most common dementia diagnosis among older patients, some patients have additional behavioral symptoms. It is therefore important to provide an exact diagnosis, both to provide the best possible treatment for patients and to facilitate better understanding. Purpose To investigate whether magnetic resonance imaging (MRI) with fractional anisotropy (FA) can accurately find patients with behavioral symptoms within a group of AD patients. Material and Methods Forty-five patients from the geriatric outpatient clinic were recruited consecutively to form a group of patients with AD and behavioral symptoms (AD + BS) and a control group of 50 patients with established AD. All patients had a full assessment for dementia to establish the diagnosis according to ICD-10. MRI included 3D anatomical recordings for morphometric measurements, DTI for fiber tracking, and quantitative assessment of regional white matter integrity. The DTI analyses included computing of the diffusion tensor and its derived FA index. Results We found a significant difference in FA values between the patient groups’ frontal lobes. The FA was greater in the study group in both left (0.39 vs 0.09, p < 0.05) and right (0.40 vs 0.16, p < 0.05) frontal lobes. Conclusion MRI with FA will find damage in frontal tracts and may be used as a diagnostic tool and be considered a robust tool for the recognizing different types of dementia in the future