Patient perspectives of factors contributing to inadequate dietary intake in acute care patients in hospital

Up to 30% of acute care patients consume less than half of the food provided in hospital. Inadequate dietary intake can have adverse clinical outcomes, including a higher risk of in-hospital mortality. This study aimed to investigate the reasons for poor intake among acute care patients in hospital. Patients with an observed intake of ≤50% of the food provided at lunch were approached to participate in the study. Thirty-two patients participated in semi-structured interviews over a three week period, to provide their perspective of food and mealtimes in hospital and discuss the reasons and factors influencing inadequate intake. Responses were coded and analysed thematically using the framework method. Patients reported both individual and organisational factors contribute to their inadequate intake. Half the patients reported the size of the meals were too large, with some patients reporting that large meal sizes puts them off their food and reduced their intake. ‘Not important to eat all the food provided’, and ‘do not need to eat much food in hospital’ were common attitudes among the patients. Half the patients reported that nurses did not observe their intake and were not concerned if all the food was not eaten. Identifying the reasons for poor intake can assist with the development of suitable interventions to improve dietary intake and reduce the risk of adverse clinical outcomes. Further investigation of suitable interventions to reduce portion sizes and improve both staff and patient perceptions of the importance of food in hospital is recommended.

Statistical analysis of spectral data: A methodology for designing an intelligent monitoring system for the diabetic foot

Early detection of (pre-)signs of ulceration on a diabetic foot is valuable for clinical practice. Hyperspectral imaging is a promising technique for detection and classification of such (pre-)signs. However, the number of the spectral bands should be limited to avoid overfitting, which is critical for pixel classification with hyperspectral image data. The goal was to design a detector/classifier based on spectral imaging (SI) with a small number of optical bandpass filters. The performance and stability of the design were also investigated. The selection of the bandpass filters boils down to a feature selection problem. A dataset was built, containing reflectance spectra of 227 skin spots from 64 patients, measured with a spectrometer. Each skin spot was annotated manually by clinicians as "healthy" or a specific (pre-)sign of ulceration. Statistical analysis on the data set showed the number of required filters is between 3 and 7, depending on additional constraints on the filter set. The stability analysis revealed that shot noise was the most critical factor affecting the classification performance. It indicated that this impact could be avoided in future SI systems with a camera sensor whose saturation level is higher than 106, or by postimage processing.

A shift in priority in diabetic foot care and research: 75% of foot ulcers are preventable

Diabetic foot ulceration poses a heavy burden on the patient and the healthcare system, but prevention thereof receives little attention. For every euro spent on ulcer prevention, ten are spent on ulcer healing, and for every randomized controlled trial conducted on prevention, ten are conducted on healing. In this article, we argue that a shift in priorities is needed. For the prevention of a first foot ulcer, we need more insight into the effect of interventions and practices already applied globally in many settings. This requires systematic recording of interventions and outcomes, and well-designed randomized controlled trials that include analysis of cost-effectiveness. After healing of a foot ulcer, the risk of recurrence is high. For the prevention of a recurrent foot ulcer, home monitoring of foot temperature, pressure-relieving therapeutic footwear, and certain surgical interventions prove to be effective. The median effect size found in a total of 23 studies on these interventions is large, over 60%, and further increases when patients are adherent to treatment. These interventions should be investigated for efficacy as a state-of-the-art integrated foot care approach, where attempts are made to assure treatment adherence. Effect sizes of 75-80% may be expected. If such state-of-the-art integrated foot care is implemented, the majority of problems with foot ulcer recurrence in diabetes can be resolved. It is therefore time to act and to set a new target in diabetic foot care. This target is to reduce foot ulcer incidence with at least 75%.

Symposium: Food pricing and affordability of ‘healthy’ versus ‘less healthy’ diets: An international approach to monitoring and surveillance

Symposium co-ordinated by The International Network for Food and Obesity/NCDs Research, Monitoring and Action Support (INFORMAS) Purpose Global monitoring of the price and affordability of foods, meals and diets is urgently needed. There are major methodological challenges in developing robust, cost-effective, standardized, and policy relevant tools, pertinent to nutrition, obesity, and diet-related non-communicable diseases and their inequalities. There is increasing pressure to take into account environmental sustainability. Changes in price differentials and affordability need to be comparable between and within countries and over time. Robust tools could provide baseline data for monitoring and evaluating structural, economic and social policies at the country/regional and household levels. INFORMAS offers one framework for consideration.

Unmanned Aerial Vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation

Surveying threatened and invasive species to obtain accurate population estimates is an important but challenging task that requires a considerable investment in time and resources. Estimates using existing ground-based monitoring techniques, such as camera traps and surveys performed on foot, are known to be resource intensive, potentially inaccurate and imprecise, and difficult to validate. Recent developments in unmanned aerial vehicles (UAV), artificial intelligence and miniaturized thermal imaging systems represent a new opportunity for wildlife experts to inexpensively survey relatively large areas. The system presented in this paper includes thermal image acquisition as well as a video processing pipeline to perform object detection, classification and tracking of wildlife in forest or open areas. The system is tested on thermal video data from ground based and test flight footage, and is found to be able to detect all the target wildlife located in the surveyed area. The system is flexible in that the user can readily define the types of objects to classify and the object characteristics that should be considered during classification.

Incorporating the interrelationship between primary and support processes in monitoring and optimising longwall coal mining efficiency

This thesis increased the researchers understanding of the relationship between operations and maintenance in underground longwall coal mines, using data from a Queensland underground coal mine. The thesis explores various relationships between recorded variables. Issues with human recorded data was uncovered, and results emphasised the significance of variables associated with conveyor operation to explain production.

Dynamics of Finnish starlings in 1951-2005 : from monitoring to population modelling

Farmland bird species have been declining in Europe. Many declines have coincided with general intensification of farming practices. In Finland, replacement of mixed farming, including rotational pastures, with specialized cultivation has been one of the most drastic changes from the 1960s to the 1990s. This kind of habitat deterioration limits the persistence of populations, as has been previously indicated from local populations. Integrated population monitoring, which gathers species-specific information of population size and demography, can be used to assess the response of a population to environment changes also at a large spatial scale. I targeted my analysis at the Finnish starling (Sturnus vulgaris). Starlings are common breeders in farmland habitats, but severe declines of local populations have been reported from Finland in the 1970s and 1980s and later from other parts of Europe. Habitat deterioration (replacement of pasture and grassland habitats with specialized cultivation areas) limits reproductive success of the species. I analysed regional population data in order to exemplify the importance of agricultural change to bird population dynamics. I used nestling ringing and nest-card data from 1951 to 2005 in order to quantify population trends and per capita reproductive success within several geographical regions (south/north and west/east aspects). I used matrix modelling, acknowledging age-specific survival and fecundity parameters and density-dependence, to model population dynamics. Finnish starlings declined by 80% from the end of the 1960s up to the end of the 1980s. The observed patterns and the model indicated that the population decline was due to the decline of the carrying capacity of farmland habitats. The decline was most severe in north Finland where populations largely become extinct. However, habitat deterioration was most severe in the southern breeding areas. The deteriorations in habitat quality decreased reproduction, which finally caused the decline. I suggest that poorly-productive northern populations have been partly maintained by immigration from the highly-productive southern populations. As the southern populations declined, ceasing emigration caused the population extinction in north. This phenomenon was explained with source sink population dynamics, which I structured and verified on the basis of a spatially explicit simulation model. I found that southern Finnish starling population exhibits ten-year cyclic regularity, a phenomenon that can be explained with delayed density-dependence in reproduction.

Functional genes and gene array analysis as tools for monitoring hydrocarbon biodegradation

Bioremediation, which is the exploitation of the intrinsic ability of environmental microbes to degrade and remove harmful compounds from nature, is considered to be an environmentally sustainable and cost-effective means for environmental clean-up. However, a comprehensive understanding of the biodegradation potential of microbial communities and their response to decontamination measures is required for the effective management of bioremediation processes. In this thesis, the potential to use hydrocarbon-degradative genes as indicators of aerobic hydrocarbon biodegradation was investigated. Small-scale functional gene macro- and microarrays targeting aliphatic, monoaromatic and low molecular weight polyaromatic hydrocarbon biodegradation were developed in order to simultaneously monitor the biodegradation of mixtures of hydrocarbons. The validity of the array analysis in monitoring hydrocarbon biodegradation was evaluated in microcosm studies and field-scale bioremediation processes by comparing the hybridization signal intensities to hydrocarbon mineralization, real-time polymerase chain reaction (PCR), dot blot hybridization and both chemical and microbiological monitoring data. The results obtained by real-time PCR, dot blot hybridization and gene array analysis were in good agreement with hydrocarbon biodegradation in laboratory-scale microcosms. Mineralization of several hydrocarbons could be monitored simultaneously using gene array analysis. In the field-scale bioremediation processes, the detection and enumeration of hydrocarbon-degradative genes provided important additional information for process optimization and design. In creosote-contaminated groundwater, gene array analysis demonstrated that the aerobic biodegradation potential that was present at the site, but restrained under the oxygen-limited conditions, could be successfully stimulated with aeration and nutrient infiltration. During ex situ bioremediation of diesel oil- and lubrication oil-contaminated soil, the functional gene array analysis revealed inefficient hydrocarbon biodegradation, caused by poor aeration during composting. The functional gene array specifically detected upper and lower biodegradation pathways required for complete mineralization of hydrocarbons. Bacteria representing 1 % of the microbial community could be detected without prior PCR amplification. Molecular biological monitoring methods based on functional genes provide powerful tools for the development of more efficient remediation processes. The parallel detection of several functional genes using functional gene array analysis is an especially promising tool for monitoring the biodegradation of mixtures of hydrocarbons.

Design a simulated multimedia enriched immersive learning environment (SMILE) for nursing care of dementia patient

This thesis is to establish a framework to guide the development of a simulated, multimedia-enriched, immersive, learning environment (SMILE) framework. This framework models essential media components used to describe a scenario applied in healthcare (in a dementia context), demonstrates interactions between the components, and enables scalability of simulation implementation. The thesis outcomes also include a simulation system developed in accordance with the guidance framework and a preliminary evaluation through a user study involving ten nursing students and practicioners. The results show that the proposed framework is feasible and effective for designing a simulation system in dementia healthcare training.

Time reversal technique for health monitoring of metallic structure using Lamb waves

Time reversal active sensing using Lamb waves is investigated for health monitoring of a metallic structure. Experiments were conducted on an aluminum plate to study the time reversal behavior of A(0) and S-0 Lamb wave modes under narrow band and broad band pulse excitation. Damage in the form of a notch was introduced in the plate to study the changes in the characteristics of the time reversed Lamb wave modes experimentally. Time-frequency analysis of the time reversed signal was carried out to extract the damage information. A measure of damage based on wavelet transform was derived to quantify the hidden damage information in the time reversed signal. It has been shown that time reversal can be used to achieve temporal recompression of Lamb waves under broadband signal excitation. Further, the broad band excitation can also improve the resolution of the technique in detecting closely located defects. This is demonstrated by picking up the reflection of waves from the edge of the plate, from a defect close to the edge of the plate and from defects located near to each other. This study shows the effectiveness of Lamb wave time reversal for temporal recompression of dispersive Lamb waves for damage detection in health monitoring applications. (C) 2009 Elsevier B.V. All rights reserved.

Novel TBK1 truncating mutation in a familial amyotrophic lateral sclerosis patient of Chinese origin

Missense and frameshift mutations in TRAF family member-associated NF-kappa-B activator (TANK)-binding kinase 1 (TBK1) have been reported in European sporadic and familial amyotrophic lateral sclerosis (ALS) cohorts. To assess the role of TBK1 in ALS patient cohorts of wider ancestry, we have analyzed whole-exome sequence data from an Australian cohort of familial ALS (FALS) patients and controls. We identified a novel TBK1 deletion (c.1197delC) in a FALS patient of Chinese origin. This frameshift mutation (p.L399fs) likely results in a truncated protein that lacks functional domains required for adapter protein binding, as well as protein activation and structural integrity. No novel or reported TBK1 mutations were identified in FALS patients of European ancestry. This is the first report of a TBK1 mutation in an ALS patient of Asian origin and indicates that sequence variations in TBK1 are a rare cause of FALS in Australia. © 2015 Elsevier Inc.

Mathematical model and rule extraction for tool wear monitoring problem using nature inspired techniques

In this paper, pattern classification problem in tool wear monitoring is solved using nature inspired techniques such as Genetic Programming(GP) and Ant-Miner (AM). The main advantage of GP and AM is their ability to learn the underlying data relationships and express them in the form of mathematical equation or simple rules. The extraction of knowledge from the training data set using GP and AM are in the form of Genetic Programming Classifier Expression (GPCE) and rules respectively. The GPCE and AM extracted rules are then applied to set of data in the testing/validation set to obtain the classification accuracy. A major attraction in GP evolved GPCE and AM based classification is the possibility of obtaining an expert system like rules that can be directly applied subsequently by the user in his/her application. The performance of the data classification using GP and AM is as good as the classification accuracy obtained in the earlier study.

CMV-, EBV-, and HHV-6-DNAemia after liver transplantation

Viral infections caused by herpesviruses are common complications after organ transplantation and they are associated with substantial morbidity and even mortality. Herpesviruses remain in a latent state in a host after primary infection and may reactivate later. CMV infection is the most important viral infection after liver transplantation. Less is known about the significance of human herpesvirus-6 (HHV-6). EBV is believed to play a major role in the development of post-transplant lymphoproliferative disorders (PTLD). The aim of this study was to investigate the CMV-, EBV- and HHV-6 DNAemia after liver transplantation by frequent monitoring of adult liver transplant patients. The presence of CMV, EBV and HHV-6 DNA were demonstrated by in situ hybridization assays and by real-time PCR methods from peripheral blood specimens. CMV and HHV-6 antigens were demonstrated by antigenemia assays and compared to the viral DNAemia. The response to antiviral therapy was also investigated. CMV-DNAemia appeared earlier than CMV pp65-antigenemia after liver transplantation. CMV infections were treated with ganciclovir. However, most of the treated patients demonstrated persistence of CMV-DNA for up to several months. Continuous CMV-DNA expression of peripheral blood leukocytes showed that the virus is not eliminated by ganciclovir and recurrences can be expected during several months after liver transplantation. HHV-6 DNAemia / antigenemia was common and occurred usually within the first three months after liver transplantation together with CMV. The HHV-6 DNA expression in peripheral blood mononuclear cells correlated well with HHV-6 antigenemia. Antiviral treatment significantly decreased the number of HHV-6 DNA positive cells, demonstrating the response to ganciclovir treatment. Clinically silent EBV reactivations with low viral loads were relatively common after liver transplantation. These EBV-DNAemias usually appeared within the first three months after liver transplantation together with betaherpesviruses (CMV, HHV-6, HHV-7). One patient developed high EBV viral loads and developed PTLD. These results indicate that frequent monitoring of EBV-DNA levels can be useful to detect liver transplant patients at risk of developing PTLD.

Functional and work disability and treatment received by patients with major depressive disorder

This study is one part of a collaborative depression research project, the Vantaa Depression Study (VDS), involving the Department of Mental and Alcohol Research of the National Public Health Institute, Helsinki, and the Department of Psychiatry of the Peijas Medical Care District (PMCD), Vantaa, Finland. The VDS includes two parts, a record-based study consisting of 803 patients, and a prospective, naturalistic cohort study of 269 patients. Both studies include secondary-level care psychiatric out- and inpatients with a new episode of major depressive disorder (MDD). Data for the record-based part of the study came from a computerised patient database incorporating all outpatient visits as well as treatment periods at the inpatient unit. We included all patients aged 20 to 59 years old who had been assigned a clinical diagnosis of depressive episode or recurrent depressive disorder according to the International Classification of Diseases, 10th edition (ICD-10) criteria and who had at least one outpatient visit or day as an inpatient in the PMCD during the study period January 1, 1996, to December 31, 1996. All those with an earlier diagnosis of schizophrenia, other non-affective psychosis, or bipolar disorder were excluded. Patients treated in the somatic departments of Peijas Hospital and those who had consulted but not received treatment from the psychiatric consultation services were excluded. The study sample comprised 290 male and 513 female patients. All their psychiatric records were reviewed and each patient completed a structured form with 57 items. The treatment provided was reviewed up to the end of the depression episode or to the end of 1997. Most (84%) of the patients received antidepressants, including a minority (11%) on treatment with clearly subtherapeutic low doses. During the treatment period the depressed patients investigated averaged only a few visits to psychiatrists (median two visits), but more to other health professionals (median seven). One-fifth of both genders were inpatients, with a mean of nearly two inpatient treatment periods during the overall treatment period investigated. The median length of a hospital stay was 2 weeks. Use of antidepressants was quite conservative: The first antidepressant had been switched to another compound in only about one-fifth (22%) of patients, and only two patients had received up to five antidepressant trials. Only 7% of those prescribed any antidepressant received two antidepressants simultaneously. None of the patients was prescribed any other augmentation medication. Refusing antidepressant treatment was the most common explanation for receiving no antidepressants. During the treatment period, 19% of those not already receiving a disability pension were granted one due to psychiatric illness. These patients were nearly nine years older than those not pensioned. They were also more severely ill, made significantly more visits to professionals and received significantly more concomitant medications (hypnotics, anxiolytics, and neuroleptics) than did those receiving no pension. In the prospective part of the VDS, 806 adult patients were screened (aged 20-59 years) in the PMCD for a possible new episode of DSM-IV MDD. Of these, 542 patients were interviewed face-to-face with the WHO Schedules for Clinical Assessment in Neuropsychiatry (SCAN), Version 2.0. Exclusion criteria were the same as in the record-based part of the VDS. Of these, 542 269 patients fulfiled the criteria of DSM-IV MDE. This study investigated factors associated with patients' functional disability, social adjustment, and work disability (being on sick-leave or being granted a disability pension). In the beginning of the treatment the most important single factor associated with overall social and functional disability was found to be severity of depression, but older age and personality disorders also significantly contributed. Total duration and severity of depression, phobic disorders, alcoholism, and personality disorders all independently contributed to poor social adjustment. Of those who were employed, almost half (43%) were on sick-leave. Besides severity and number of episodes of depression, female gender and age over 50 years strongly and independently predicted being on sick-leave. Factors influencing social and occupational disability and social adjustment among patients with MDD were studied prospectively during an 18-month follow-up period. Patients' functional disability and social adjustment were alleviated during the follow-up concurrently with recovery from depression. The current level of functioning and social adjustment of a patient with depression was predicted by severity of depression, recurrence before baseline and during follow-up, lack of full remission, and time spent depressed. Comorbid psychiatric disorders, personality traits (neuroticism), and perceived social support also had a significant influence. During the 18-month follow-up period, of the 269, 13 (5%) patients switched to bipolar disorder, and 58 (20%) dropped out. Of the 198, 186 (94%) patients were at baseline not pensioned, and they were investigated. Of them, 21 were granted a disability pension during the follow-up. Those who received a pension were significantly older, more seldom had vocational education, and were more often on sick-leave than those not pensioned, but did not differ with regard to any other sociodemographic or clinical factors. Patients with MDD received mostly adequate antidepressant treatment, but problems existed in treatment intensity and monitoring. It is challenging to find those at greatest risk for disability and to provide them adequate and efficacious treatment. This includes great challenges to the whole society to provide sufficient resources.