Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data.

BACKGROUND: Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking, particularly in external real-world data sets. This study's objective was to evaluate a hybrid machine learning model's ability to classify eight arrhythmias from a single-lead ECG signal from acutely ill patients. METHODS: This cross-sectional external retrospective evaluation of a previously trained hybrid machine learning model against an ECG reading team in the setting of home hospital care (acute care delivered at home substituting for traditional hospital care) draws from patients admitted at two hospitals in Boston, Massachusetts, USA between 12 June 2017 and 23 November 2019. We calculated classifier statistics for each arrhythmia, all arrhythmias and strips where the model identified normal sinus rhythm. RESULTS: The model analysed 2 680 162 min of single-lead ECG data from 423 patients and identified 691 478 arrhythmias. Patients had a mean age of 70 years (SD, 18), 60% were female and 45% were white. For any arrhythmia, the model had a sensitivity of 98%, a specificity of 100%, an accuracy of 98%, a positive predictive value of 100%, a negative predictive value of 93% and an F1 Score of 99%. Performance was best for pause (F1 Score, 99%) and worst for paroxysmal supraventricular tachycardia (F1 Score, 92%). The model's false positive rate for any arrhythmia was 0.2%, ranging from 0.4% for pause to 7.2% for paroxysmal supraventricular tachycardia. The false negative rate for any arrhythmia was 1.9%. CONCLUSIONS: A hybrid machine learning model was effective at classifying common cardiac arrhythmias from a single-lead ECG in real-world data.

Hospital-Level Care at Home for Patients With Acute Respiratory Disease: A Descriptive Analysis.

BACKGROUND: Home hospital (HH) care is hospital-level substitutive care delivered at home for acutely ill patients who traditionally would be cared for in the hospital. Despite HH care programs operating successfully for years and scientific evidence of similar or better outcomes compared with bricks-and-mortar care, HH care outcomes in the United States for respiratory disease have not been evaluated. RESEARCH QUESTION: Do outcomes differ between patients admitted to HH care with acute respiratory illness vs those with other acute general medical conditions? STUDY DESIGN AND METHODS: This was a retrospective evaluation of prospectively collected data of patients admitted to HH care (2017-2021). We compared patients requiring admission with respiratory disease (asthma exacerbation [26%], acute exacerbation of COPD [33%], and non-COVID-19 pneumonia [41%]) to all other patients admitted to HH care. During HH care, patients received two nurse and one physician visit daily, IV medications, advanced respiratory therapies, and continuous heart and respiratory rate monitoring. Main outcomes were acute and postacute health care use and safety. RESULTS: We analyzed 1,031 patients; 24% were admitted for respiratory disease. Patients with and without respiratory disease were similar: mean age, 68 ± 17 years, 62% women, and 48% White. Patients with respiratory disease more often were active smokers (21% vs 9%; P < .001). Eighty percent of patients showed an FEV1 to FVC ratio of ≤ 70; 28% showed a severe or very severe obstructive pattern (n = 118). During HH care, patients with respiratory disease showed less health care use: length of stay (mean, 3.4 vs 4.6 days), laboratory orders (median, 0 vs 2), IV medication (43% vs 73%), and specialist consultation (2% vs 7%; P < .001 for all). Ninety-six percent of patients completed the full admission at home with no mortality in the respiratory group. Within 30 days of discharge, both groups showed similar readmission, ED presentation, and mortality rates. INTERPRETATION: HH care is as safe and effective for patients with acute respiratory disease as for those with other acute general medical conditions. If scaled, it can generate significant high-value capacity for health systems and communities, with opportunities to advance the complexity of care delivered.

Do You Mind? Examining the Impact of Psychoeducation Specificity on Perceptions of Mindfulness-Based Programs.

OBJECTIVE: Mindfulness-based programs (MBPs) cultivate the capacity for mindfulness, defined as nonjudgmental acceptance and awareness of present-moment experience. Mindfulness has been associated with a host of benefits for users, such as improved indices of mental well-being. We examined public perceptions of acceptability (i.e., how appropriate the treatment is for a given problem) and credibility (i.e., how logical and convincing a treatment seems) of MBPs as a form of mental health intervention. The main objective of this study was to examine whether higher specificity of psychoeducational content improved perceptions of the acceptability and credibility of MBPs. METHODS: Participants (n = 188; female% = 39.4) were recruited online and randomly assigned to one of two conditions. In one condition, participants received balanced and evidence-based psychoeducation specific to MBPs for mental health. In the other condition, participants received general information about psychological treatments for mental health. Acceptability and credibility perceptions were measured by questionnaires across time (pre-and post-psychoeducation) and across specificity conditions (specific vs. general psychoeducation). RESULTS: Participants randomized to the general, but not the specific, psychoeducation-endorsed higher scores of acceptability of MBPs post-psychoeducation. Further, participants endorsed higher scores of MBP credibility post-psychoeducation, regardless of the specificity of psychoeducation provided. CONCLUSIONS: Perceptions of the acceptability of MBPs were improved following exposure to general psychoeducation, and perceptions of the credibility of MBPs were improved following psychoeducation, regardless of specificity. Examining public perceptions of MBPs is important for informing strategies to support access to and use of MBPs.

Where would Canadians prefer to die? Variation by situational severity, support for family obligations, and age in a national study.

BACKGROUND: Death at home has been identified as a key quality indicator for Canadian health care systems and is often assumed to reflect the wishes of the entire Canadian public. Although research in other countries has begun to question this assumption, there is a dearth of rigorous evidence of a national scope in Canada. This study addresses this gap and extends it by exploring three factors that moderate preferences for setting of death: situational severity (entailing both symptoms and supports), perceptions of family obligation, and respondent age. METHODS: Two thousand five hundred adult respondents from the general population were recruited using online panels between August 2019 and January 2020. The online survey included three vignettes, representing distinct dying scenarios which increased in severity based on symptom management alongside availability of formal and informal support. Following each vignette respondents rated their preference for each setting of death (home, acute/intensive care, palliative care unit, nursing home) for that scenario. They also provided sociodemographic information and completed a measure of beliefs about family obligations for end-of-life care. RESULTS: Home was the clearly preferred setting only for respondents in the mild severity scenario. As the dying scenario worsened, preferences fell for home death and increased for the other options, such that in the severe scenario, most respondents preferred a palliative care or hospice setting. This pattern was particularly distinct among respondents who also were less supportive of family obligation norms, and for adults 65 years of age and older. CONCLUSIONS: Home is not universally the preferred setting for dying. The public, especially older persons and those expressing lower expectations of families in general, express greater preference for palliative care settings in situations where they might have less family or formal supports accompanied by more severe and uncontrolled symptoms. Findings suggest a) the need for public policy and health system quality indicators to reflect the nuances of public preferences, b) the need for adequate investment in hospices and palliative care settings, and c) continuing efforts to ensure that home-based formal services are available to help people manage symptoms and meet their preferences for setting of death.

Fatalism and Depressive Symptoms: Active and Passive Forms of Fatalism Differentially Predict Depression.

Classic fatalism is the belief that regardless of actions, events are predestined to occur (Straughan and Seow 1998). Researchers have found that fatalism is positively correlated with depression symptoms and higher endorsement of an external locus of control. Although fatalism is thought to be a unitary construct, based on the current literature, we hypothesized fatalism may take on other forms. We defined active fatalism as the belief in a predestined personal and global future, combined with the belief that one must do their part to bring this predestined future into fruition. Therefore, we predicted that active fatalism will be negatively correlated with depression symptoms, external locus of control, and negative coping skills. We recruited a sample of religious participants online (n = 282; 49.3% female) who completed self-report scales measuring depression symptoms, classic fatalism, active fatalism, coping skills, and locus of control. We found that while classic fatalism was significantly and positively associated with depression and negative coping, active fatalism was positively correlated with positive coping skills, and negatively correlated with depression and external locus of control. Finally, the present study found that active fatalism explained variance in both depression and anxiety symptoms above and beyond the classic form of fatalism. This confirmed our hypotheses and suggested that there may be several forms of fatalism, each differentially predicting mental health processes and outcomes. The significant positive correlation of positive coping and negative correlations of depression and external locus of control with active fatalism offer evidence in support of the notion that this form of fatalism may in fact be associated with protective mechanisms against depression. Differential assessment of these varying concepts may be appropriate for assessment and psychotherapy.

Synthesis and characterisation of glucosamine-NSAID bioconjugates.

Strategies to couple non-steroidal anti-inflammatory drugs (NSAIDs) to a glucosamine hydrochloride salt via an amino acid linker are investigated and a series of novel NSAID-glucosamine bioconjugates have been prepared.