GPS-Derived Daily Mobility and Daily Well-Being in Community-Dwelling Older Adults.

INTRODUCTION: Mobility as a multidimensional concept has rarely been examined as a day-to-day varying phenomenon in its within-person association with older adults' daily well-being. This study examined associations between daily mobility and daily well-being in community-dwelling older adults with a set of GPS-derived mobility indicators that were representative of older adults' daily mobility. METHODS: Participants wore a custom-built mobile GPS sensor ("uTrail") and completed smartphone-based experience sampling questionnaires on momentary affective states (7 times per day) and daily life satisfaction (in the evening). Analyses included data across 947 days from 109 Swiss older adults aged 65-89 years. RESULTS: Multilevel modeling showed that, within persons, a day with a larger life space area, more time spent in passive transport modes, and a higher number of different locations was associated with higher daily life satisfaction but not daily positive or negative affect. Follow-up analysis showed that the daily maximum distance from home was positively associated with daily life satisfaction, providing a first indication that exposure to non-habitual environments might be a possible underlying mechanism to explain the effects of mobility. CONCLUSIONS: Traveling a long distance away from home and visiting diverse locations may be a way to improve life satisfaction. Results are discussed in the context of research on healthy aging.

Eigenbehaviour as an Indicator of Cognitive Abilities.

With growing use of machine learning algorithms and big data in health applications, digital measures, such as digital biomarkers, have become highly relevant in digital health. In this paper, we focus on one important use case, the long-term continuous monitoring of cognitive ability in older adults. Cognitive ability is a factor both for long-term monitoring of people living alone as well as a relevant outcome in clinical studies. In this work, we propose a new potential digital biomarker for cognitive abilities based on location eigenbehaviour obtained from contactless ambient sensors. Indoor location information obtained from passive infrared sensors is used to build a location matrix covering several weeks of measurement. Based on the eigenvectors of this matrix, the reconstruction error is calculated for various numbers of used eigenvectors. The reconstruction error in turn is used to predict cognitive ability scores collected at baseline, using linear regression. Additionally, classification of normal versus pathological cognition level is performed using a support-vector machine. Prediction performance is strong for high levels of cognitive ability but grows weaker for low levels of cognitive ability. Classification into normal and older adults with mild cognitive impairment, using age and the reconstruction error, shows high discriminative performance with an ROC AUC of 0.94. This is an improvement of 0.08 as compared with a classification with age only. Due to the unobtrusive method of measurement, this potential digital biomarker of cognitive ability can be obtained entirely unobtrusively-it does not impose any patient burden. In conclusion, the usage of the reconstruction error is a strong potential digital biomarker for binary classification and, to a lesser extent, for more detailed prediction of inter-individual differences in cognition.

Clinical research in dementia: A perspective on implementing innovation.

The increasing global prevalence of dementia demands concrete actions that are aimed strategically at optimizing processes that drive clinical innovation. The first step in this direction requires outlining hurdles in the transition from research to practice. The different parties needed to support translational processes have communication mismatches; methodological gaps hamper evidence-based decision-making; and data are insufficient to provide reliable estimates of long-term health benefits and costs in decisional models. Pilot projects are tackling some of these gaps, but appropriate methods often still need to be devised or adapted to the dementia field. A consistent implementation perspective along the whole translational continuum, explicitly defined and shared among the relevant stakeholders, should overcome the "research-versus-adoption" dichotomy, and tackle the implementation cliff early on. Concrete next steps may consist of providing tools that support the effective participation of heterogeneous stakeholders and agreeing on a definition of clinical significance that facilitates the selection of proper outcome measures.

Impact of margin status on survival after radical nephrectomy for renal cell carcinoma.

BACKGROUND: Data about the impact of surgical margin positivity on patient outcomes following radical nephrectomy (RN) for renal cell carcinoma (RCC) is limited. We evaluate the effect of positive surgical margins (PSMs) on relapse-free survival (RFS) and overall survival (OS.) METHODS: Clinicopathologic data of patients who underwent RN for RCC was analyzed based on margin status. χ2 and Student t test were used to compare groups. Cox regression analysis was used for the analysis. Kaplan-Meier method was used for survival curves. RESULTS: A total of 485 patients who underwent RN for RCC were analyzed. Most patients with T1/T2 stage had NSM. Most patients with T4 had PSM. T3 patients were split between the two groups. Analysis of the T3 group showed shorter RFS in the PSM group at 3 years (hazard ratio [HR]: 4.3, p = .01), and 5 years (HR: 4.3, p = .01.) OS analysis showed worse OS in PSM but not statistically significant. There was a significant association between PSM and laterality (p = .023) and histologic type (p = .025.) CONCLUSIONS: PSM was associated with shorter RFS after RN in T3 RCC patients. There was a trend towards worse OS in the PSM group, but it did not reach statistical significance. Laterality and histologic type were associated with surgical margin status.

With a little help from familiar interlocutors: real-world language use in young and older adults.

OBJECTIVES: Functional psychologists are concerned with the performance of cognitive activities in the real world in relation to cognitive changes in older age. Conversational contexts may mitigate the influence of cognitive aging on the cognitive activity of language production. This study examined effects of familiarity with interlocutors, as a context, on language production in the real world. METHOD: We collected speech samples using iPhones, where an audio recording app (i.e. Electronically Activated Recorder [EAR]) was installed. Over 31,300 brief audio files (30-second long) were randomly collected across four days from 61 young and 48 healthy older adults in Switzerland. We transcribed the audio files that included participants' speech and manually coded for familiar interlocutors (i.e. significant other, friends, family members) and strangers. We computed scores of vocabulary richness and grammatical complexity from the transcripts using computational linguistics techniques. RESULTS: Bayesian multilevel analyses showed that participants used richer vocabulary and more complex grammar when talking with familiar interlocutors than with strangers. Young adults used more diverse vocabulary than older adults and the age effects remained stable across contexts. Furthermore, older adults produced equally complex grammar as young adults did with the significant other, but simpler grammar than young adults with friends and family members. CONCLUSION: Familiarity with interlocutors is a promising contextual factor for research on aging and language complexity in the real world. Results were discussed in the context of cognitive aging.

Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.

BACKGROUND: Reminiscence is the act of thinking or talking about personal experiences that occurred in the past. It is a central task of old age that is essential for healthy aging, and it serves multiple functions, such as decision-making and introspection, transmitting life lessons, and bonding with others. The study of social reminiscence behavior in everyday life can be used to generate data and detect reminiscence from general conversations. OBJECTIVE: The aims of this original paper are to (1) preprocess coded transcripts of conversations in German of older adults with natural language processing (NLP), and (2) implement and evaluate learning strategies using different NLP features and machine learning algorithms to detect reminiscence in a corpus of transcripts. METHODS: The methods in this study comprise (1) collecting and coding of transcripts of older adults' conversations in German, (2) preprocessing transcripts to generate NLP features (bag-of-words models, part-of-speech tags, pretrained German word embeddings), and (3) training machine learning models to detect reminiscence using random forests, support vector machines, and adaptive and extreme gradient boosting algorithms. The data set comprises 2214 transcripts, including 109 transcripts with reminiscence. Due to class imbalance in the data, we introduced three learning strategies: (1) class-weighted learning, (2) a meta-classifier consisting of a voting ensemble, and (3) data augmentation with the Synthetic Minority Oversampling Technique (SMOTE) algorithm. For each learning strategy, we performed cross-validation on a random sample of the training data set of transcripts. We computed the area under the curve (AUC), the average precision (AP), precision, recall, as well as F1 score and specificity measures on the test data, for all combinations of NLP features, algorithms, and learning strategies. RESULTS: Class-weighted support vector machines on bag-of-words features outperformed all other classifiers (AUC=0.91, AP=0.56, precision=0.5, recall=0.45, F1=0.48, specificity=0.98), followed by support vector machines on SMOTE-augmented data and word embeddings features (AUC=0.89, AP=0.54, precision=0.35, recall=0.59, F1=0.44, specificity=0.94). For the meta-classifier strategy, adaptive and extreme gradient boosting algorithms trained on word embeddings and bag-of-words outperformed all other classifiers and NLP features; however, the performance of the meta-classifier learning strategy was lower compared to other strategies, with highly imbalanced precision-recall trade-offs. CONCLUSIONS: This study provides evidence of the applicability of NLP and machine learning pipelines for the automated detection of reminiscence in older adults' everyday conversations in German. The methods and findings of this study could be relevant for designing unobtrusive computer systems for the real-time detection of social reminiscence in the everyday life of older adults and classifying their functions. With further improvements, these systems could be deployed in health interventions aimed at improving older adults' well-being by promoting self-reflection and suggesting coping strategies to be used in the case of dysfunctional reminiscence cases, which can undermine physical and mental health.

[Participation in research: interest and opinions on participatory research among participants of a senior university]. / Partizipativ mitforschen: Interesse und Meinungen zur partizipativen Forschung unter Teilnehmenden einer Senioren-Universität.

BACKGROUND: In gerontological research, older people are often used as test subjects. Participatory research means the active and equal involvement of those affected by the research question, i.e., the subjects and the academic researchers. But what is the interest in participatory research among older people who participate in an educational institution of the third age? In order to answer this question, participants of a senior university were interviewed. MATERIAL AND METHODS: The survey was conducted as a standardized postal survey combined with an optional online survey of participants from the Senior University of Zurich (Switzerland). The sample consisted of 811 persons aged between 56 and 96 years. RESULTS: Of the respondents 24% had already participated in a participatory research project and of these, older people and people with a high level of education were more likely to be involved, as were people who are more likely to be extraverted and who regularly volunteer. Of all respondents, 62% were interested in participatory research projects. In a multivariate perspective, interest depended on age, education, volunteering and experience with such research projects. CONCLUSION: The interest in participatory participation among Senior University members was high. This interest was more pronounced among people who already had experience with such projects. Further studies should evaluate the interest in research participation on the basis of implemented participatory projects and define optimal framework conditions.

Fact Box decision support tools reduce decisional conflict about antibiotics for pneumonia and artificial hydration in advanced dementia: a randomized controlled trail.

Background: fact Boxes are decision support tools that can inform about treatment effects. Objectives: to test whether Fact Box decision support tools impacted decisional conflict, knowledge and preferences about the use of antibiotics and artificial hydration in advanced dementia. Design: randomized controlled trial. Setting: Swiss-German region of Switzerland. Subjects: two hundred thirty-two participants (64 physicians, 100 relatives of dementia patients, 68 professional guardians) randomly allocated to intervention (N = 114) or control (N = 118). Intervention: two-page Fact Box decision support tools on antibiotics for pneumonia and artificial hydration in advanced dementia (at 1-month). Methods: participants were mailed questionnaires at baseline and one month later that asked questions about treatments based on hypothetical scenarios. The primary outcome was change in decisional conflict (DCS-D; range 0 < 100) about treatment decisions. Secondary outcomes included knowledge about treatments (range 0 < 7) and preferences to forego treatments. Results: participants were: mean age, 55.6 years; female, 62.8%. Relative to control participants, intervention participants experienced less decisional conflict about using antibiotics (unstandardized beta (b) = -8.35, 95% Confidence Interval (CI), -12.43, -4.28) and artificial hydration (b = -6.02, 95% CI, -9.84, -2.20) at 1-month compared to baseline. Intervention participants displayed greater knowledge about the use of antibiotics (b = 2.24, 95% CI, 1.79, 2.68) and artificial hydration (b = 3.01, 95% CI, 2.53, 3.49), and were significantly more likely to prefer to forego antibiotics (odds ratio, 2.29, 95% CI, 1.08, 4.84) but not artificial hydration. Conclusions: fact Box decision support tools reduced decisional conflict, increased knowledge and promoted preferences to forego antibiotics in advanced dementia among various decision-makers. Trial registration: FORSbase (12091).

Physician and Surrogate Agreement with Assisted Dying and Continuous Deep Sedation in Advanced Dementia in Switzerland.

BACKGROUND: Assisted dying and continuous deep sedation (CDS) are controversial practices. Little is known about the perceptions of physicians and surrogates about these practices for patients with advanced dementia. OBJECTIVES: To describe and compare physician and surrogate agreement with the use of assisted dying and CDS in advanced dementia. DESIGN, SETTING, SUBJECTS: Physicians (n = 64) and surrogates (n = 168) of persons with advanced dementia were recruited as part of a randomized controlled trial in Switzerland that tested decision support tools in this population. METHODS: At baseline, the participants were asked about their agreement with assisted dying and CDS in advanced dementia using the following response options: "completely agree," "somewhat agree," "somewhat disagree," "completely disagree," and "do not know." Multivariable logistic regressions compared the likelihood that surrogates versus physicians would completely or somewhat agree (vs. completely or somewhat disagree) with these practices. RESULTS: The physicians and surrogates, respectively, had a mean age (SD) of 50.6 years (9.9) and 57.4 years (14.6); 46.9% (n = 30/64) and 68.9% (n = 115/167) were women. A total of 20.3% (n = 13/64) of the physicians and 47.0% (n = 79/168) of the surrogates agreed with assisted dying in advanced dementia. Surrogates were significantly more likely to agree with this practice than physicians (adjusted odds ratio, 3.87; 95% CI: 1.94, 7.69). With regard to CDS, 51.6% (n = 33/64) of the physicians and 41.9% (n = 70/169) of the surrogates agreed with this practice, which did not differ significantly between the groups. CONCLUSIONS: The surrogates were more agreeable to considering assisted dying in the setting of advanced dementia than the physicians, and about half of the participants in both groups reported CDS to be an appropriate option for this population.

Pathogen elimination and prevention within a regulated, Designated Pathogen Free, closed pig herd for long-term breeding and production of xenotransplantation materials.

BACKGROUND: We established a Source Animal (barrier) Facility (SAF) for generating designated pathogen-free (DPF) pigs to serve as donors of viable organs, tissues, or cells for xenotransplantation into clinical patients. This facility was populated with caesarian derived, colostrum deprived (CDCD) piglets, from sows of conventional-specific (or specified) pathogen-free (SPF) health status in six cohorts over a 10-month period. In all cases, CDCD piglets fulfilled DPF status including negativity for porcine circovirus (PCV), a particularly environmentally robust and difficult to inactivate virus which at the time of SAF population was epidemic in the US commercial swine production industry. Two outbreaks of PCV infection were subsequently detected during sentinel testing. The first occurred several weeks after PCV-negative animals were moved under quarantine from the nursery into an animal holding room. The apparent origin of PCV was newly installed stainless steel penning, which was not sufficiently degreased thereby protecting viral particles from disinfection. The second outbreak was apparently transmitted via employee activities in the Caesarian-section suite adjacent to the barrier facility. In both cases, PCV was contained in the animal holding room where it was diagnosed making a complete facility depopulation-repopulation unnecessary. METHOD: Infectious PCV was eliminated during both outbreaks by the following: euthanizing infected animals, disposing of all removable items from the affected animal holding room, extensive cleaning with detergents and degreasing agents, sterilization of equipment and rooms with chlorine dioxide, vaporized hydrogen peroxide, and potassium peroxymonosulfate, and for the second outbreak also glutaraldehyde/quaternary ammonium. Impact on other barrier animals throughout the process was monitored by frequent PCV diagnostic testing. RESULT: After close monitoring for 6 months indicating PCV absence from all rooms and animals, herd animals were removed from quarantine status. CONCLUSION: Ten years after PCV clearance following the second outbreak, due to strict adherence to biosecurity protocols and based on ongoing sentinel diagnostic monitoring (currently monthly), the herd remains DPF including PCV negative.

Standard set of health outcome measures for older persons.

BACKGROUND: The International Consortium for Health Outcomes Measurement (ICHOM) was founded in 2012 to propose consensus-based measurement tools and documentation for different conditions and populations.This article describes how the ICHOM Older Person Working Group followed a consensus-driven modified Delphi technique to develop multiple global outcome measures in older persons. The standard set of outcome measures developed by this group will support the ability of healthcare systems to improve their care pathways and quality of care. An additional benefit will be the opportunity to compare variations in outcomes which encourages and supports learning between different health care systems that drives quality improvement. These outcome measures were not developed for use in research. They are aimed at non researchers in healthcare provision and those who pay for these services. METHODS: A modified Delphi technique utilising a value based healthcare framework was applied by an international panel to arrive at consensus decisions.To inform the panel meetings, information was sought from literature reviews, longitudinal ageing surveys and a focus group. RESULTS: The outcome measures developed and recommended were participation in decision making, autonomy and control, mood and emotional health, loneliness and isolation, pain, activities of daily living, frailty, time spent in hospital, overall survival, carer burden, polypharmacy, falls and place of death mapped to a three tier value based healthcare framework. CONCLUSIONS: The first global health standard set of outcome measures in older persons has been developed to enable health care systems improve the quality of care provided to older persons.

A Conversation between Theory, Methods, and Data.

The 10 year anniversary of the COGITO Study provides an opportunity to revisit the ideas behind the Cattell data box. Three dimensions of the persons × variables × time data box are discussed in the context of three categories of researchers each wanting to answer their own categorically different question. The example of the well-known speed-accuracy tradeoff is used to illustrate why these are three different categories of statistical question. The 200 persons by 100 variables by 100 occasions of measurement COGITO data cube presents a challenge to integrate theories and methods across the dimensions of the data box. A conceptual model is presented for the speed-accuracy tradeoff example that could account for cross-sectional between persons effects, short-term dynamics, and long-term learning effects. Thus, two fundamental differences between the time axis and the other two axes of the data box include ordering and time scaling. In addition, nonstationarity in human systems is a pervasive problem along the time dimension of the data box. To illustrate, the difference in nonstationarity between dancing and conversation is discussed in the context of the interaction between theory, methods, and data. An information theoretic argument is presented that the theory-methods-data interaction is better understood when viewed as a conversation than as a dance. Entropy changes in the development of a theory-methods-data conversation provide one metric for evaluating scientific progress.

A clinical study to evaluate the cardiopulmonary characteristics of two different anaesthetic protocols for immobilization of healthy chimpanzees (Pan troglodytes).

OBJECTIVE: To characterize the cardiopulmonary characteristics of two different anaesthetic protocols (tiletamine/zolazepam ± medetomidine) and their suitability for the immobilization of healthy chimpanzees undergoing cardiac assessment. STUDY DESIGN: Prospective, clinical, longitudinal study. ANIMALS: Six chimpanzees (Pan troglodytes) aged 4-16 years weighing 19.5-78.5 kg were anaesthetized on two occasions. METHODS: Anaesthesia was induced with tiletamine/zolazepam (TZ) (3-4 mg kg-1) or tiletamine/zolazepam (2 mg kg-1) and medetomidine (0.02 mg kg-1) (TZM) via blow dart [intramuscular (IM)] and maintained with intermittent boluses of ketamine (IV) or zolazepam/tiletamine (IM) as required. The overall quality of the anaesthesia was quantified based on scores given for: quality of induction, degree of muscle relaxation and ease of intubation. The time to achieve a light plane of anaesthesia, number of supplemental boluses needed and recovery characteristics were also recorded. Chimpanzees were continuously monitored and heart rate (HR), pulse rate (PR), respiratory rate (fR) oxygen saturation of haemoglobin (SpO2), systolic arterial pressure (SAP), diastolic arterial pressure (DAP), mean arterial pressure (MAP), rectal temperature, mucous membrane colour and capillary refill time recorded. During the first procedure (TZ) animals underwent a 12-channel electrocardiogram (ECG), haematology, biochemistry and cardiac biomarker assessment to rule out the presence of pre-existing cardiovascular disease. A detailed echocardiographic examination was carried out by the same blinded observer during both procedures. Data were compared using Student's paired t-test or Wilcoxon rank tests as appropriate. RESULTS: There was a significant difference for the area under the curves between anaesthetic protocols for HR, SAP, MAP and fR. No significant differences in the echocardiographic measurements were evident. Quality of anaesthesia was significantly better with TZM and no additional boluses were required. The TZ protocol required multiple supplemental boluses. CONCLUSIONS AND CLINICAL RELEVANCE: Both combinations are suitable for immobilization and cardiovascular evaluation of healthy chimpanzees. Further work is required to evaluate the effect of medetomidine in cardiovascular disease.

A Tablet for Healthy Ageing: The Effect of a Tablet Computer Training Intervention on Cognitive Abilities in Older Adults.

OBJECTIVE: To test the efficacy of a tablet computer training intervention to improve cognitive abilities of older adults. DESIGN: Prospective randomized controlled trial. SETTING: Community-based aging intervention study, Edinburgh, UK. PARTICIPANTS: Forty-eight healthy older adults aged 65 to 76 years were recruited at baseline with no or minimal tablet experience; 43 completed follow-up testing. INTERVENTION: Twenty-two participants attended a weekly 2-hour class for 10 weeks during which they learned how to use a tablet and various applications on it. MEASUREMENTS: A battery of cognitive tests from the WAIS-IV measuring the domains of Verbal Comprehension, Perceptual Processing, Working Memory, and Processing Speed, as well as health, psychological, and well-being measures. RESULTS: A 2 × 2 mixed model ANOVA suggested that the tablet intervention group (N = 22) showed greater improvements in Processing Speed (η2 = 0.10) compared with controls (N = 21), but did not differ in Verbal Comprehension, Perceptual Processing, or Working Memory (η2 ranged from -0.03 to 0.04). CONCLUSIONS: Engagement in a new mentally challenging activity (tablet training) was associated with improved processing speed. Acquiring skills in later life, including those related to adopting new technologies, may therefore have the potential to reduce or delay cognitive changes associated with ageing. It is important to understand how the development of these skills might further facilitate everyday activities, and also improve older adults' quality of life.

Discrepancy in Personality Perceptions Is Related to Relationship Satisfaction: Findings from Dyadic Latent Discrepancy Analyses.

The current study investigated discrepancies in self-, partner-, and meta-perceptions of the Big Five traits and their associations with relationship satisfaction in intimate couples. The study was based on a subsample of the Swiss study "Co-Development in Personality: Longitudinal Approaches to Personality Development in Dyads Across the Life Span" (CoDiP) including cross-sectional data of 216 heterosexual couples. We adapted the Latent Congruence Model (LCM) for the study of discrepancies in personality perceptions in dyads. Beyond personality trait levels, the discrepancies between self- and partner-perceptions and between partner- and meta-perceptions of the Big Five traits were related to relationship satisfaction as actor and partner effects. In general, flattering and favorable partner-perceptions in relation to self- and meta-perceptions seem to positively contribute to relationship satisfaction. The present study implies that not only personality trait levels but also discrepancies between personality perceptions are important for understanding relationship satisfaction.

The last phase of life with dementia in Swiss nursing homes: the study protocol of the longitudinal and prospective ZULIDAD study.

BACKGROUND: The proportion of older people with advanced dementia who will die in nursing homes is constantly growing. However, little is known about the dying phase, the type of symptoms, the management of symptoms and the quality of life and dying in people with advanced dementia. The ZULIDAD (Zurich Life and Death with Advanced Dementia) study aims at extending the current scientific knowledge by providing first data from Switzerland. METHODS: The ZULIDAD study employs a prospective design to study nursing home residents with advanced dementia for three years or until their death in eleven nursing homes in Zurich. Observational data from quarterly questionnaires for relatives and primary nurses is combined with data from the Resident Assessment Instrument - Minimum Data Set (RAI-MDS). Special focus is put on 1) the cross-sectional analysis of baseline and post-mortem data regarding quality of life and quality of dying and how the perceptions of these measures differ between relatives and primary nurses, 2) the longitudinal analyses of established health outcome measures (e.g., EOLD, MSSE, BISAD, QUALID) in order to understand their trajectories and 3) international comparisons of cross-sectional and longitudinal data. DISCUSSION: The ZULIDAD study is one of the few existing prospective studies on end-of-life care in dementia and it is the first prospective study to describe the situation in Switzerland. Its multi-perspective approach allows a comprehensive approximation to central health outcome measures at the end of life such as pain, suffering or quality of life. Providing insights into the current provision of care, it can serve as a basis for improving dementia end-of-life care in Switzerland and internationally.

Next-Generation Sequencing and In Silico Analysis Facilitate Prolonged Response to Pazopanib in a Patient With Metastatic Urothelial Carcinoma of the Renal Pelvis.

With the advent of widespread tumor genetic profiling, an increased number of mutations with unknown significance are being identified. Often, a glut of uninterpretable findings may confuse the clinician and provide little or inappropriate guidance in therapeutic decision-making. This report describes a method of protein modeling by in silico analysis (ie, using computer simulation) that is easily accessible to the practicing clinician without need for further laboratory analysis, which can potentially serve as a guide in therapeutic decisions based on poorly characterized tumor mutations. An example of this model is given wherein poorly characterized KIT, PDGFRB, and ERBB2 mutations were discovered in a patient with treatment-refractory metastatic transitional cell carcinoma of the renal pelvis. The KIT and PDGFRB mutations were predicted to be pathogenic using in silico analysis, whereas the ERBB2 mutation was predicted to be benign. Based on these findings, the patient was treated with pazopanib and achieved a partial response that lasted for 7.5 months. We propose that in silico analysis be explored as a potential means to further characterize genetic abnormalities found by tumor profiling assays, such as next-generation sequencing.

Mortality, length of stay, and health care costs of febrile neutropenia-related hospitalizations among patients with breast cancer in the United States.

PURPOSE: Febrile neutropenia is a potentially life threatening complication of breast cancer chemotherapy associated with a significant amount of morbidity, mortality, and health care resource utilization. Recent data on the national estimates of mortality rate, length of stay, and health care costs among the subpopulation of febrile neutropenia admissions with breast cancer are lacking. METHODS: We used the Nationwide Inpatient Sample database to identify patients with breast cancer hospitalized for febrile neutropenia from 2009 to 2011. We derived data on inhospital mortality rate, length of stay, and mean health care costs and compared it with previous studies. RESULTS: The average inhospital mortality rate during 2009-2011 was 2.6 % (n = 685). Advanced age (≥ 65 years) was found to be significantly associated with a higher odds of mortality (4.4 vs 1.7 %, OR 2.7, 95 % CI 2.3-3.1, p < 0.01). The mean length of stay was 5.7 days (95 % CI 5.5-5.9 days), whereas the mean cost of hospitalization was $37,087 (95 % CI $34,009-$40,165). CONCLUSION: Febrile neutropenia-related hospitalizations continue to account for significant morbidity, mortality, and health care resource utilization among patients with breast cancer. Further efforts should be focused on curtailing the rising health care costs without compromising the quality of care.

When I am sixty-four evaluating language markers of well-being in healthy aging narratives.

Natural language use is a promising candidate for the development of innovative measures of well-being to complement self-report measures. The type of words individuals use can reveal important psychological processes that underlie well-being across the lifespan. In this preregistered, cross-sectional study, we propose a conceptual model of language markers of well-being and use written narratives about healthy aging (N = 701) and computerized text analysis (LIWC) to empirically validate the model. As hypothesized, we identified a model with three groups of language markers (reflecting affective, evaluative, and social processes). Initial validation with established self-report scales (N = 30 subscales) showed that these language markers reliably predict core components of well-being and underlying processes. Our results support the concurrent validity of the conceptual language model and allude to the added benefits of language-based measures, which are thought to reflect less conscious processes of well-being. Future research is needed to continue validating language markers of well-being across the lifespan in a theoretically informed and contextualized way, which will lay the foundation for inferring people's well-being from their natural language use.

Quantifying Site Burden to Optimize Protocol Performance.

BACKGROUND: The increase in protocol complexity and the resulting rise in the effort required by investigative sites to implement protocols have been well documented, but existing measures of site burden only offer an incomplete view of the burden experienced by site personnel. The introduction of Decentralized Clinical Trials-trials supported by remote and virtual technologies and services-is expected to impact the burden imposed on sites, but this impact has not yet been systematically measured. METHODS: The Tufts Center for the Study of Drug Development conducted an online survey among clinical research sites worldwide and gathered 355 responses assessing the burden associated with distinct activities and procedures related to the implementation of clinical trial protocols using traditional and decentralized approaches. RESULTS: A high percentage of investigative sites (50.5%) have had no experience with DCT solutions and only a small percentage (6.6%) have participated in fully decentralized clinical trials. Overall, half of respondents view DCT solutions as more burdensome than traditional clinical trials. In general, activities related to operational and managerial aspects of trial implementation were viewed as less burdensome when done remotely, while clinical procedures or elements that require study team-patient interactions were viewed as more burdensome when using DCT approaches versus in-person or traditional methods.