Mindful gratitude journaling: psychological distress, quality of life and suffering in advanced cancer: a randomised controlled trial

Context Numerous studies have shown that gratitude can reduce stress and improve quality of life. Objective Our study aimed to examine the effect of mindful gratitude journaling on suffering, psychological distress and quality of life of patients with advanced cancer. Methods We conducted a parallel-group, blinded, randomised controlled trial at the University of Malaya Medical Centre, Malaysia. Ninety-two adult patients with advanced cancer, and an overall suffering score ≥4/10 based on the Suffering Pictogram were recruited and randomly assigned to either a mindful gratitude journaling group (N=49) or a routine journaling group (N=43). Results After 1 week, there were significant reductions in the overall suffering score from the baseline in both the intervention group (mean difference in overall suffering score=−2.0, 95% CI=−2.7 to −1.4, t=−6.125, p=0.000) and the control group (mean difference in overall suffering score=−1.6, 95% CI=−2.3 to −0.8, t=−4.106, p=0.037). There were also significant improvements in the total Hospital Anxiety and Depression Scale score (mean difference=−3.4, 95% CI=−5.3 to −1.5, t=−3.525, p=0.000) and the total Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being score (mean difference=7.3, 95% CI=1.5 to 13.1, t=2.460, p=0.014) in the intervention group after 7 days, but not in the control group. Conclusion The results provide evidence that 7 days of mindful gratitude journaling could positively affect the state of suffering, psychological distress and quality of life of patients with advanced cancer

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Symptom reduction in palliative care from single session mindful breathing : a randomised controlled trial

Context There has been increasing evidence of the role of mindfulness-based interventions in improving various health conditions. However, the evidence for the use of mindfulness in the palliative care setting is still lacking. Objectives The objective of our study was to determine the efficacy of a single session of 20 min mindful breathing in alleviating multiple symptoms in palliative care. Methods Adult palliative care in patients with at least one symptom scoring ≥5/10 based on the Edmonton Symptom Assessment Scale (ESAS) were recruited from September 2018 to December 2018. Recruited patients were randomly assigned to either 20 min mindful breathing and standard care or standard care alone. Results Forty patients were randomly assigned to standard care plus a 20 min mindful breathing session (n=20) or standard care alone (n=20). There was statistically significant reduction of total ESAS score in the mindful breathing group compared with the control group at minute 20 (U=98, n 1 = n 2 = 20, mean rank 1 = 15.4, mean rank 2 = 25.6, median reduction 1 = 6.5, median reduction 2 = 1.5, z=−2.763, r=0.3, p=0.005). Conclusion Our results provided evidence that a single session of 20 min mindful breathing was effective in reducing multiple symptoms rapidly for palliative care patients

Clinical and laboratory findings of SARS in Singapore.

INTRODUCTION: Singapore was one of 29 countries worldwide affected by severe acute respiratory syndrome (SARS) in 2003. MATERIALS AND METHODS: There were 238 cases identified during the outbreak. We performed a retrospective analysis of the clinical and laboratory data of 234 patients admitted to Tan Tock Seng Hospital and Singapore General Hospital. RESULTS: The mean age of patients was 21 years, 31.6% of patients were males and 41.8% were healthcare workers. At presentation, the common symptoms were fever, myalgia, cough and headache; rhinorrhoea was uncommon. On admission, 21% had leukopenia, 18% had thrombocytopaenia, 29% had hyponatraemia, 31% had hypokalaemia, 21% had transaminitis. Polymerase chain reaction (PCR) testing of respiratory and stool samples provided the best yield at the end of the first week of illness. Thirty-two patients were initially not recognised as probable SARS and were reclassified when the serology test results were available. The chief reasons for not identifying these patients early were persistently normal chest X-rays (68.8%), very mild presentation (43.8%) and the presence of a concomitant illness (12.5%). Overall, 12% of the patients were probable SARS with atypical presentations. Overall mortality was 11.8%. CONCLUSION: Patients infected with the SARS coronavirus had a wide clinical presentation with non-specific symptoms

Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ):Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.</p

Major trends in the manifestations and treatment of rheumatoid arthritis in a multiethnic cohort in Singapore

10.1007/s00296-012-2602-2Rheumatology International3371693-1703RHIN