Enhanced Telehealth Home-Monitoring Intervention for Vulnerable and Frail Patients after Cardiac Surgery (THE-FACS Pilot Intervention Study).

BACKGROUND: Frail cardiac surgery patients have an increased risk of worse postoperative outcomes. The purpose of this study was to evaluate the implementation of a novel Telehealth Home monitoring Enhanced-Frailty And Cardiac Surgery (THE-FACS) intervention and determine its impact on clinical outcomes in frail patients post-cardiac surgery. METHODS: Frail/vulnerable patients defined by Edmonton Frailty Scale (EFS > 4) undergoing cardiac surgery were prospectively enrolled (November 2019 -March 2020) at the New Brunswick Heart Centre. Exclusion criteria included age < 55 years, emergent status, minimally invasive surgery, lack of home support, and > 10-days postoperative hospital stay. Following standard training on THE-FACS, participants were sent home with a tablet device to answer questions about their health/recovery and measure blood pressure for 30-consecutive days. Transmitted data were monitored by trained cardiac surgery follow-up nurses. Patients were contacted only if the algorithm based on the patient's self-collected data triggered an alert. Patients who completed the study were compared to historical controls. The primary outcome of interest was to determine the number of patients that could complete THE-FACS; secondary outcomes included participant/caregiver satisfaction and impact on hospital readmission. RESULTS: We identified 86 eligible (EFS > 4), out of 254 patients scheduled for elective cardiac surgery during the study period (vulnerable: 34%). The patients who consented to participate in THE-FACS (64/86, 74%) had a mean age of 69.1 ± 6.4 years, 25% were female, 79.7% underwent isolated Coronary Artery Bypass Graft (CABG) and median EFS was 6 (5-8). 29/64 (45%) were excluded post-enrollment due to prolonged hospitalization (15/64) or requirement for hospital-to-hospital transfer (12/64). Of the remaining 35 patients, 21 completed the 30-day follow-up (completion rate:60%). Reasons for withdrawal (14/35, 40%) were mostly due to technical difficulties with the tablet. Hospital readmission, although non-significant, was reduced in THE-FACS participants compared to controls (0% vs. 14.3%). A satisfaction survey revealed > 90% satisfaction and ~ 67% willingness to re-use a home monitoring device. CONCLUSIONS: THE-FACS intervention can be used to successfully monitor vulnerable patients returning home post-cardiac surgery. However, a significant number of frail patients could not benefit from THE-FACS given prolonged hospitalization and technological challenges. Our findings suggest that despite overall excellent satisfaction in participants who completed THE-FACS, there remain major challenges for wide-scale implementation of technology-driven home monitoring programs as only 24% completed the study.

HeliantHOME, a public and centralized database of phenotypic sunflower data.

Genomic studies often attempt to link natural genetic variation with important phenotypic variation. To succeed, robust and reliable phenotypic data, as well as curated genomic assemblies, are required. Wild sunflowers, originally from North America, are adapted to diverse and often extreme environments and have historically been a widely used model plant system for the study of population genomics, adaptation, and speciation. Moreover, cultivated sunflower, domesticated from a wild relative (Helianthus annuus) is a global oil crop, ranking fourth in production of vegetable oils worldwide. Public availability of data resources both for the plant research community and for the associated agricultural sector, are extremely valuable. We have created HeliantHOME ( http://www.helianthome.org ), a curated, public, and interactive database of phenotypes including developmental, structural and environmental ones, obtained from a large collection of both wild and cultivated sunflower individuals. Additionally, the database is enriched with external genomic data and results of genome-wide association studies. Finally, being a community open-source platform, HeliantHOME is expected to expand as new knowledge and resources become available.

Do physical therapists follow evidence-based practices for treatment of inflammatory arthritis? Results from an online survey.

BACKGROUND: Physical therapists (PTs) should know how to best treat patients with inflammatory arthritis. OBJECTIVE: To document interventions chosen by PTs for patients with rheumatoid arthritis (RA) and ankylosing spondylitis (AS) and whether choices follow evidence-based practice. METHODS: Licensed musculoskeletal PTs in Quebec, Canada responded to an online survey. Descriptive statistics illustrated proportions for each treatment choice and inferential statistics explored associations with demographic and practice-related factors. RESULTS: There were 298 PTs who responded to the survey. For both RA and AS respectively, most common interventions were mobility exercises (91.0%; 98.3%) and patient education (90.1%; 92.8%). For both cases, slightly >60% selected strengthening exercises. Passive forms of therapy were chosen by 36% of PTs for RA and 58% for AS. Aerobic exercise was rarely selected. PTs working in the public sector were less likely to use manual therapy for both RA (Odds Ratio (OR) 0.43, 95% confidence interval (CI) 0.22,0.86) and AS (OR 0.46, 95% CI 0.22,0.97). CONCLUSIONS: Most PTs chose mobility exercises and patient education, representing evidence-based approaches. Despite current recommendations, strengthening and especially aerobic exercises were not used as much. There is a need to increase awareness regarding the benefits of strengthening and aerobic exercise for these patients.

Measuring the impact of an educational intervention in rheumatoid arthritis: An open-label, randomized trial.

Objectives: This study aims to determine whether patients with active rheumatoid arthritis (RA), either starting on or changing biological or targeted synthetic disease-modifying antirheumatic drugs (DMARDs), demonstrate better self-management safety skills three months after receiving a multidisciplinary educational intervention compared to patients receiving usual care. Patients and methods: Between October 2015 and October 2018 , this open-label, randomized-controlled trial included a total of 107 RA patients (27 males, 80 females; mean age: 60.2±10.4 years; range, 54 to 71 years) who were on treatment or in whom treatment was changed with a biological or targeted synthetic DMARD. The patients were randomized into two groups: Group 1 (n=57) received additional intervention with educational DVD and one teleconference session and Group 2 (n=55) received usual care and were offered the intervention at three months. All patients underwent a final visit at six months. At each visit, the patients completed the BioSecure questionnaire measuring the self-care safety skills, a behavioral intention questionnaire, and the Beliefs about Medicines Questionnaire (BMQ). Results: No significant difference was observed in the Biosecure score at three months between the two groups (p=0.08). After pooling the first three-month data in Group 1 and the last three-month data in Group 2, the mean score of the BioSecure questionnaire increased to 7.10±0.92 in the group receiving educational intervention (p<0.0001). This increase was maintained at six months in Group 2 (p=0.88). The rate of appropriate behavioral intention increased over time (76% at baseline and 85% at six months for both groups). There was no significant change in the BMQ (p=0.44 to 0.84). Conclusion: The development of an educational DVD followed by a teleconference seem to improve self-care safety skills of the patients in practical situations.

Surgical Triage and Timing for Patients With Coronavirus Disease: A Guidance Statement from The Society of Thoracic Surgeons.

The coronavirus disease 2019 (COVID-19) pandemic continues to disrupt the provision of cardiac procedural services due to overwhelming interval surges in COVID-19 cases and the associated crisis of cardiac intervention deferment. Despite the availability of widespread testing, highly efficacious vaccines, and intensive public health efforts, the pandemic is entering its third year, where new severe acute respiratory syndrome-coronavirus-2 variants have increased the likelihood that patients scheduled for a cardiac intervention will contract COVID-19 in the perioperative period. The Society of Thoracic Surgeons (STS) Workforce on Critical Care, the STS Workforce on Adult Cardiac and Vascular Surgery, and the Canadian Society of Cardiac Surgeons have developed this document, endorsed by the STS and affirmed by the Society of Cardiovascular Angiography and Interventions and the Canadian Association of Interventional Cardiology, to provide guidance for cardiac procedure deferment and intervention timing for preoperative patients diagnosed with COVID-19. This document is intended for the perioperative cardiac surgical team and outlines the present state of the pandemic, the impact of COVID-19 on intervention outcome, and offers a recommended algorithm for individualized cardiac procedure triage and timing.

Evaluating a new referral pathway from physical therapists to rheumatologists: A qualitative study.

Early referral to rheumatology of people with suspected inflammatory arthritis is associated with better outcomes. Typically, these individuals are seen by a family physician who would assess the need for rheumatology referral. However, some may first consult a physical therapist where no physician referral is required. New interprofessional referral pathways, such as direct referral from a physical therapist to a rheumatologist, could enhance early access to a rheumatologist. Our objective was to explore perceptions of clinicians and people with inflammatory arthritis regarding physical therapists referring directly to rheumatologists. We used purposive and snowball sampling to recruit participants for five focus groups: rheumatologists, family physicians, physical therapists, people with inflammatory arthritis, and a mixed group of physical therapists and people with inflammatory arthritis. Thematic analysis revealed four core themes: difficulties accessing care, reluctance of family physicians and rheumatologists toward the new pathway, interprofessional relationships (or lack thereof), and opportunities along the referral pathway. The conclusions are that care must be optimized by ensuring swift referral for those who require it; and that there is a need for knowledge translation to all actors on the advantages of this new pathway.

Fast tracking in cardiac surgery: is it safe?

BACKGROUND: While fast track clinical pathways have been demonstrated to reduce resource utilization in patients undergoing cardiac surgery, it remains unclear as to whether they adversely affect post-operative outcomes. The purpose of this study was to determine the impact of fast tracking on post-operative outcomes following cardiac surgery. METHODS: In a retrospective study, all patients undergoing first-time, on-pump, non-emergent coronary artery bypass grafting, valve, or coronary artery bypass grafting + valve at a single centre between 2010 and 2017 were included. Patients were considered to have been fast tracked if they were extubated and transferred from intensive care to a step-down unit on the same day as their procedure. The risk-adjusted effect of fast tracking on a 30-day composite of all-cause mortality, stroke, renal failure, infection, atrial fibrillation, and readmission to hospital was determined. Furthermore, propensity score matching was used to match fasting track patients in a 1-to-1 manner with their nearest "neighbor" in the control group and subsequently compared in terms of 30-day post-operative outcomes. RESULTS: 3252 patients formed the final study population (fast track: n = 245; control: n = 3007). Patients who were fast tracked experienced reduced time to initial extubation (4.3 vs. 5.6 h, p < 0.0001) and lower median initial intensive care unit length of stay (7.8 vs. 20.4 h, p < 0.0001). Fast tracked patients experienced lower 30-day rates of the composite outcome (42.4% vs. 51.5%, p = 0.008). However, following propensity score matching, fast tracked patients experienced similar 30-day rates of the composite outcome as the control group (42.4% vs. 44.5%, p = 0.72). After risk adjustment using multivariable regression modeling, fast tracking was predictive of an improved 30-day composite outcome (OR 0.75, 95% CI 0.57-0.98, p = 0.03). CONCLUSION: Fast track clinical pathways was associated with reduced intensive care unit, overall length of stay and similar 30-day post-operative outcomes. These results suggest that fast tracking appropriate patients may reduce resource utilization, while maintaining patient safety.

Virtual Care With Digital Technologies for Rural Canadians Living With Cardiovascular Disease.

Canada is a wealthy nation with a geographically diverse population, seeking health innovations to better serve patients in accordance with the Canada Health Act. In this country, population and geography converge with social determinants, policy, procurement regulations, and technological advances with the goal to achieve equity in the management and distribution of health care. Rural and remote patients are a vulnerable population; when managing chronic conditions like cardiovascular disease, there is currently inequity to accessing specialist physicians at the recommended frequency-increasing the likelihood of poor health outcomes. Ensuring equitable care for this population is an unrealized priority of several provincial and federal government mandates. Virtual care technology might provide practical, economical, and innovative solutions to remedy this discrepancy. We conducted a scoping review of the literature pertaining to the use of virtual care technologies to monitor patients living in rural areas of Canada with cardiovascular disease. A search strategy was developed to identify the literature specific to this context across 3 bibliographic databases. Two hundred thirty-two unique citations were ultimately assessed for eligibility, of which 37 met the inclusion criteria. In our assessment of these articles, we provide a summary of the interventions studied, their reported effectiveness in reducing adverse events and mortality, the challenges to implementation, and the receptivity of these technologies among patients, providers, and policy-makers. Furthermore, we glean insight into the barriers and opportunities to ensure equitable care for rural patients and conclude that there is an ongoing need for clinical trials on virtual care technologies in this context.

Le Canada, pays riche dont la population est répartie dans des régions géographiquement diversifiées, reste à l'affût des innovations en matière de santé pour mieux servir les patients conformément à la Loi canadienne sur la santé. Dans ce pays, la population et la géographie ainsi que les déterminants sociaux, les politiques, la réglementation des marchés publics et les progrès technologiques convergent vers un objectif d'équité dans la gestion et la distribution des soins de santé. Les patients des régions rurales et éloignées constituent une population vulnérable; la prise en charge de maladies chroniques comme les maladies cardiovasculaires est marquée par des inégalités en ce qui concerne l'accès aux médecins spécialistes à la fréquence recommandée ­ ce qui augmente le risque de problèmes de santé. La garantie d'un accès équitable aux soins de santé pour cette population constitue une priorité non concrétisée pour plusieurs gouvernements provinciaux et fédéraux. Les technologies des soins virtuels pourraient offrir des solutions pratiques, économiques et novatrices afin de remédier à la disparité qui persiste. Nous avons effectué une revue exploratoire de la littérature relative à l'utilisation des technologies des soins virtuels pour le suivi des patients atteints de maladies cardiovasculaires vivant dans les régions rurales du Canada. Une stratégie de recherche a été élaborée pour recenser les articles visant spécifiquement ce contexte dans trois bases de données bibliographiques. Au terme de la recherche, 232 références uniques ont été évaluées en fonction des critères d'admissibilité; 37 y répondaient. Dans notre évaluation des articles, nous résumons les interventions étudiées, leur efficacité rapportée quant à la réduction des événements indésirables et de la mortalité, les difficultés de mise en œuvre et la réceptivité des patients, des fournisseurs de soins et des décideurs politiques aux technologies utilisées. En outre, nous offrons un aperçu des obstacles à surmonter et des occasions à saisir pour garantir un accès équitable aux soins de santé dans les régions rurales et nous concluons que des études cliniques sur les technologies des soins virtuels demeurent nécessaires dans ce contexte.

Genetic basis and dual adaptive role of floral pigmentation in sunflowers.

Variation in floral displays, both between and within species, has been long known to be shaped by the mutualistic interactions that plants establish with their pollinators. However, increasing evidence suggests that abiotic selection pressures influence floral diversity as well. Here, we analyse the genetic and environmental factors that underlie patterns of floral pigmentation in wild sunflowers. While sunflower inflorescences appear invariably yellow to the human eye, they display extreme diversity for patterns of ultraviolet pigmentation, which are visible to most pollinators. We show that this diversity is largely controlled by cis-regulatory variation affecting a single MYB transcription factor, HaMYB111, through accumulation of ultraviolet (UV)-absorbing flavonol glycosides in ligules (the 'petals' of sunflower inflorescences). Different patterns of ultraviolet pigments in flowers are strongly correlated with pollinator preferences. Furthermore, variation for floral ultraviolet patterns is associated with environmental variables, especially relative humidity, across populations of wild sunflowers. Ligules with larger ultraviolet patterns, which are found in drier environments, show increased resistance to desiccation, suggesting a role in reducing water loss. The dual role of floral UV patterns in pollinator attraction and abiotic response reveals the complex adaptive balance underlying the evolution of floral traits.

Flowers are an important part of how many plants reproduce. Their distinctive colours, shapes and patterns attract specific pollinators, but they can also help to protect the plant from predators and environmental stresses. Many flowers contain pigments that absorb ultraviolet (UV) light to display distinct UV patterns ­ although invisible to the human eye, most pollinators are able to see them. For example, when seen in UV, sunflowers feature a 'bullseye' with a dark centre surrounded by a reflective outer ring. The sizes and thicknesses of these rings vary a lot within and between flower species, and so far, it has been unclear what causes this variation and how it affects the plants. To find out more, Todesco et al. studied the UV patterns in various wild sunflowers across North America by considering the ecology and molecular biology of different plants. This revealed great variation between the UV patterns of the different sunflower populations. Moreover, Todesco et al. found that a gene called HaMYB111 is responsible for the diverse UV patterns in the sunflowers. This gene controls how plants make chemicals called flavonols that absorb UV light. Flavonols also help to protect plants from damage caused by droughts and extreme temperatures. Todesco et al. showed that plants with larger bullseyes had more flavonols, attracted more pollinators, and were better at conserving water. Accordingly, these plants were found in drier locations. This study suggests that, at least in sunflowers, UV patterns help both to attract pollinators and to control water loss. These insights could help to improve pollination ­ and consequently yield ­ in cultivated plants, and to develop plants with better resistance to extreme weather. This work also highlights the importance of combining biology on small and large scales to understand complex processes, such as adaptation and evolution.

Predictors of perforation during lead extraction: Results of the Canadian Lead ExtrAction Risk (CLEAR) study.

BACKGROUND: Transvenous lead extraction can have serious adverse events, such as cardiac or vascular perforation. Risk factors have not been well characterized. OBJECTIVE: The purpose of this study was to identify factors associated with perforation and death, and to characterize lead extraction in a large contemporary population. METHODS: We performed a retrospective multicenter study examining patients undergoing lead extraction at 8 Canadian institutions from 1996 through 2016. Demographic and clinical data were used to identify variables associated with perforation and mortality using logistic regression modeling. RESULTS: A total of 2325 consecutive patients (age 61.9 ±16.5 years) underwent extraction of 4527 leads. Perforation rate was 2.7% (63/2325) and 30-day mortality was 1.6% (38/2325), with mortality of 0.4% due to perforation (10/2325). Variables associated with perforation included no previous cardiac surgery (odds ratio [OR] 3.33; 95% confidence interval [CI] 1.54-7.19; P = .002), female sex (OR 3.27; 95% CI 1.91-5.60; P <.001); left ventricular ejection fraction ≥40% (OR 2.81; 95% CI 1.28-6.14; P = .010); lead age >8 years (OR 2.64; 95% CI 1.52-4.60; P <.001); ≥2 leads extracted (OR 2.49; 95% CI 1.23-5.04; P = .011); and diabetes (OR 2.12; 95% CI 1.16-3.86; P = .014). Variables associated with death included infection as indication for extraction (OR 3.85; 95% CI 1.38-10.73; P = .010); anemia (OR 3.14; 95% CI 1.38-6.61; P = .003), and patient age (OR 1.04; 95% CI 1.01-1.07; P = .012). CONCLUSION: Risk factors associated with perforation in lead extraction include no history of cardiac surgery, female sex, preserved left ventricular ejection fraction, lead age >8 years, ≥2 leads extracted, and diabetes.

Characterizing Physician-Staffing Models in the Care of Postoperative Cardiac Surgical Patients in Canada.

BACKGROUND: Current intensive care unit physician-staffing (IPS) models for postoperative cardiac surgery have not been previously investigated in Canada. The purpose of this study was to determine current IPS models at 2 time points and describe the evolution of Canadian cardiac surgery IPS models. METHODS: A survey of 32 Canadian cardiovascular intensive care units (CVICUs) was undertaken in 2012 and 2017 to determine IPS models of care during "daytime" and "after-hours" in each unit. Data were collected regarding surgical volume, base specialties, and style of IPS management ("open"; "semi-open"; "closed"). In addition, we collected the overnight experience level of the bedside healthcare provider for in-house intensive care units. RESULTS: Survey responses were received from 27 of 32 CVICUs (87%). As of 2017, the style of 1 (4%) was open, 7 (26%) were semi-open, and 19 (70%) were closed in their unit IPS strategy. Base specialties of CVICU physicians varied. A medical doctor provided after-hours coverage in 81% of CVICUs. Senior residents (37%) or critical care certified attending staff (25%) typically provided after-hours coverage for in-house CVICUs. Linked Canadian Institute for Health Information data did not indicate a difference among CVICU models in mortality or rehospitalization for coronary artery bypass graft or valve procedures. CONCLUSIONS: Considerable heterogeneity is demonstrated in CVICU staffing patterns. No consensus was identified regarding the appropriate level of training for "after-hours" coverage. In-house overnight physician staffing in CVICUs varies widely. Finally, semi-open and closed style models did not demonstrate differences compared to Canadian Institute for Health Information data. Variability among CVICUs does exist; however, benefits of one model over another have not been identified.

INTRODUCTION: Les modèles actuels de dotation en médecins aux soins intensifs (DMSI) postopératoires de chirurgie cardiaque n'ont pas fait l'objet d'études antérieures au Canada. L'objectif de la présente étude était de déterminer les modèles actuels de DMSI à deux points temporels et de décrire l'évolution des modèles de DMSI de chirurgie cardiaque au Canada. MÉTHODES: Nous avons entrepris une enquête auprès de 32 unités de soins intensifs cardiovasculaires du Canada (USICC) en 2012 et en 2017 pour déterminer les modèles de soins DMSI « pendant la journée ¼ et « après les heures normales ¼ dans chaque unité. Nous avons collecté les données relatives au volume d'interventions chi- rurgicales, aux spécialités de base et au style de gestion de la DMSI (« ouvert ¼, « semi-ouvert ¼, « fermé ¼). De plus, nous avons collecté les données sur le niveau d'expérience de nuit des prestataires de soins au chevet des patients des unités intégrées de soins intensifs. RÉSULTATS: Nous avons reçu les réponses à l'enquête de 27 des 32 USICC (87 %). Depuis 2017, le style de 1 (4 %) USICC était ouvert, de 7 (26 %) était semi-ouvert et de 19 (70 %) était fermé dans leur stra- tégie de DMSI à l'unité. Les spécialités de base des médecins de l'USICC variaient. Un docteur en médecine offrait ses services après les heures normales dans 81 % des USICC. Les résidents chevronnés (37 %) ou les médecins titulaires agréés en soins aux patients en phase critique (25 %) offraient habituellement leurs services après les heures normales aux USICC intégrées. Les données liées de l'Institut canadien d'information sur la santé n'indiquaient pas de différence entre les modèles des USICC en ce qui a trait à la mortalité ou à la réhospitalisation en raison de pontages aortocoronariens ou d'interventions valvulaires. CONCLUSIONS: Les modèles de dotation en personnel aux USICC démontrent une importante hétérogénéité. Aucun consensus n'a été établi quant au niveau approprié de formation pour les services offerts « après les heures normales ¼. Le personnel médical de nuit à l'interne des USICC varie grandement. Finalement, les modèles de styles semi-ouverts et fermés ne démontraient pas de différence par rapport aux données de l'Institut canadien d'information sur la santé. Une variabilité existe entre les USICC. Toutefois, les avantages d'un modèle par rapport à un autre n'ont pas été définis.

Expectations and educational needs of rheumatologists, rheumatology fellows and patients in the field of precision medicine in Canada, a quantitative cross-sectional and descriptive study.

BACKGROUND: Precision medicine, as a personalized medicine approach based on biomarkers, is a booming field. In general, physicians and patients have a positive attitude toward precision medicine, but their knowledge and experience are limited. In this study, we aimed at assessing the expectations and educational needs for precision medicine among rheumatologists, rheumatology fellows and patients with rheumatic diseases in Canada. METHODS: We conducted two anonymous online surveys between June and August 2018, one with rheumatologists and fellows and one with patients assessing precision medicine expectations and educational needs. Descriptive statistics were performed. RESULTS: 45 rheumatologists, 6 fellows and 277 patients answered the survey. 78% of rheumatologists and fellows and 97.1% of patients would like to receive training on precision medicine. Most rheumatologists and fellows agreed that precision medicine tests are relevant to medical practice (73.5%) with benefits such as helping to determine prognosis (58.9%), diagnosis (79.4%) and avoid treatment toxicity (61.8%). They are less convinced of their usefulness in helping to choose the most effective treatment and to improve patient adherence (23.5%). Most patients were eager to take precision medicine tests that could predict disease prognosis (92.4%), treatment response (98.1%) or drug toxicity (93.4%), but they feared potential negative impacts like loss of insurability (62.2%) and high cost of the test (57.5%). CONCLUSIONS: Our study showed that rheumatologists and patients in Canada are overall interested in getting additional precision medicine education. Indeed, while convinced of the potential benefits of precision medicine tests, most physicians don't feel confident in their abilities and consider their training insufficient to incorporate them into clinical practice.

Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy.

Aim: Monitoring minimal residual disease remains a challenge to the effective medical management of hematological malignancies; yet surface-enhanced Raman spectroscopy (SERS) has emerged as a potential clinical tool to do so. Materials & methods: We developed a cell-free, label-free SERS approach using gold nanoparticles (nanoSERS) to classify hematological malignancies referenced against two control cohorts: healthy and noncancer cardiovascular disease. A predictive model was built using machine-learning algorithms to incorporate disease burden scores for patients under standard treatment upon. Results: Linear- and quadratic-discriminant analysis distinguished three cohorts with 69.8 and 71.4% accuracies, respectively. A predictive nanoSERS model correlated (MSE = 1.6) with established clinical parameters. Conclusion: This study offers a proof-of-concept for the noninvasive monitoring of disease progression, highlighting the potential to incorporate nanoSERS into translational medicine.

Cancer patient quality of life is achieved by reassurance from informed doctors using the best clinical tools. Confirming the earliest detection or absence of disease ensures treatment is timely and recovery optimal. Here we show the potential for a new tool to be developed to reassure patients and inform doctors. We examined the 'chemical fingerprints' (Raman spectroscopic profiling) of patient's blood, enhanced by gold nanoparticles with a double-referenced machine learning algorithm. Teaching a machine to learn as it works ensures it is improving how it finds clinically important features in the chemical fingerprint. This helps patients live more confidently with cancer or in cancer recovery. Eventually, once fully trained and translated into a real-world hospital application, this could improve patient outcomes and quality of life.

Development of Acute Myocardial Infarction Mortality and Readmission Models for Public Reporting on Hospital Performance in Canada.

BACKGROUND: Given changes in the care and outcomes of acute myocardial infarction (AMI) patients over the past several decades, we sought to develop prediction models that could be used to generate accurate risk-adjusted mortality and readmission outcomes for hospitals in current practice across Canada. METHODS: A Canadian national expert panel was convened to define appropriate AMI patients for reporting and develop prediction models. Preliminary candidate variable evaluation was conducted using Ontario patients hospitalized with a most responsible diagnosis of AMI from April 1, 2015 to March 31, 2018. National data from the Canadian Institute for Health Information was used to develop AMI prediction models. The main outcomes were 30-day all-cause in-hospital mortality and 30-day urgent all-cause readmission. Discrimination of these models (measured by c-statistics) was compared with that of existing Canadian Institute for Health Information models in the same study cohort. RESULTS: The AMI mortality model was assessed in 54,240 Ontario AMI patients and 153,523 AMI patients across Canada. We observed a 30-day in-hospital mortality rate of 6.3%, and a 30-day all-cause urgent readmission rate of 10.7% in Canada. The final Canadian AMI mortality model included 12 variables and had a c-statistic of 0.834. For readmission, the model had 13 variables and a c-statistic of 0.679. Discrimination of the new AMI models had higher c-statistics compared with existing models (c-statistic 0.814 for mortality; 0.673 for readmission). CONCLUSIONS: In this national collaboration, we developed mortality and readmission models that are suitable for profiling performance of hospitals treating AMI patients in Canada.

CONTEXTE: Compte tenu des changements apportés au cours des dernières décennies aux soins des patients ayant subi un infarctus aigu du myocarde (IAM) et aux issues d'un tel événement, nous avons voulu élaborer des modèles prédictifs pouvant servir à calculer de façon précise les résultats relatifs à la mortalité et aux réadmissions, ajustés selon les risques, pour les hôpitaux dans la pratique actuelle au Canada. MÉTHODOLOGIE: Un groupe national d'experts canadiens a été mis sur pied et a reçu le mandat de définir les critères appropriés applicables aux patients ayant subi un IAM aux fins de déclaration des cas et d'élaborer des modèles prédictifs. L'évaluation préliminaire des variables proposées a été effectuée à partir de patients hospitalisés en Ontario entre le 1er avril 2015 et le 31 mars 2018 chez lesquels l'IAM était le diagnostic principal à l'origine de l'hospitalisation. Les données à l'échelle nationale de l'Institut canadien d'information sur la santé (ICIS) ont été utilisées pour élaborer des modèles prédictifs d'IAM. Les deux principales issues évaluées étaient la mortalité hospitalière toutes causes confondues à 30 jours et la réadmission urgente toutes causes confondues à 30 jours. Le pouvoir discriminant de ces modèles (mesuré par la statistique C) a été comparé à celui des modèles existants de l'ICIS dans la même cohorte de l'étude. RÉSULTATS: Le modèle de mortalité par IAM a été évalué auprès de patients ayant subi un IAM, dont 54 240 en Ontario et 153 523 dans l'ensemble du Canada. Nous avons observé un taux de mortalité hospitalière à 30 jours de 6,3 % et un taux de réadmission urgente à 30 jours toutes causes confondues de 10,7 % au Canada. Le modèle canadien final de prédiction de la mortalité par IAM était constitué de 12 variables et avait une statistique C de 0,834. Pour la réadmission, le modèle comportait 13 variables et présentait une statistique C de 0,679. Le pouvoir discriminant des nouveaux modèles d'IAM présentait une statistique C supérieure à celle des modèles existants (statistique C de 0,814 pour la mortalité et de 0,673 pour la réadmission). CONCLUSIONS: Dans le cadre de cette collaboration nationale, nous avons élaboré des modèles prédictifs de la mortalité et de la réadmission hospitalière qui permettent d'établir un profil des résultats obtenus par les hôpitaux traitant des patients ayant subi un IAM au Canada.

Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.

BACKGROUND: Research on the integration of artificial intelligence (AI) into community-based primary health care (CBPHC) has highlighted several advantages and disadvantages in practice regarding, for example, facilitating diagnosis and disease management, as well as doubts concerning the unintended harmful effects of this integration. However, there is a lack of evidence about a comprehensive knowledge synthesis that could shed light on AI systems tested or implemented in CBPHC. OBJECTIVE: We intended to identify and evaluate published studies that have tested or implemented AI in CBPHC settings. METHODS: We conducted a systematic scoping review informed by an earlier study and the Joanna Briggs Institute (JBI) scoping review framework and reported the findings according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis-Scoping Reviews) reporting guidelines. An information specialist performed a comprehensive search from the date of inception until February 2020, in seven bibliographic databases: Cochrane Library, MEDLINE, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ScienceDirect, and IEEE Xplore. The selected studies considered all populations who provide and receive care in CBPHC settings, AI interventions that had been implemented, tested, or both, and assessed outcomes related to patients, health care providers, or CBPHC systems. Risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST). Two authors independently screened the titles and abstracts of the identified records, read the selected full texts, and extracted data from the included studies using a validated extraction form. Disagreements were resolved by consensus, and if this was not possible, the opinion of a third reviewer was sought. A third reviewer also validated all the extracted data. RESULTS: We retrieved 22,113 documents. After the removal of duplicates, 16,870 documents were screened, and 90 peer-reviewed publications met our inclusion criteria. Machine learning (ML) (41/90, 45%), natural language processing (NLP) (24/90, 27%), and expert systems (17/90, 19%) were the most commonly studied AI interventions. These were primarily implemented for diagnosis, detection, or surveillance purposes. Neural networks (ie, convolutional neural networks and abductive networks) demonstrated the highest accuracy, considering the given database for the given clinical task. The risk of bias in diagnosis or prognosis studies was the lowest in the participant category (4/49, 4%) and the highest in the outcome category (22/49, 45%). CONCLUSIONS: We observed variabilities in reporting the participants, types of AI methods, analyses, and outcomes, and highlighted the large gap in the effective development and implementation of AI in CBPHC. Further studies are needed to efficiently guide the development and implementation of AI interventions in CBPHC settings.