The magnetic resonance linear accelerator system (MR Linac) is a novel piece of radiotherapy (RT) equipment allowing the routine application of daily MR-guided treatment adaptation. The hardware design required for such technical capabilities and the increased complexity of the treatment workflow entails a notable departure from cone beam computed tomography (CBCT)-based RT. Patient tolerability of treatment is paramount to RT practice where high compliance is required. Presented is a comparative analysis of how such modality specific characteristics may ultimately impact the patient experience of treatment.

Forty patients undergoing RT for prostate cancer (PCa) on either the MR Linac (n = 20) or a CBCT-based linac (n = 20) were provided with a validated patient reported outcomes measures (PROM’s) questionnaire at fraction 1 and fraction 20. The 18-item questionnaire provided patient responses recorded using a 4-point Likert scale, 0 denoting a response of ‘Not at all’, 1 ‘Slightly’, 2 ‘Moderately’ and 3 signifying ‘Very’. The analysis provided insight into both comparisons between modalities at singular time points (fractions 1 and 20), as well as a temporal analysis within a single modality, denoting changing patient experience.

Patients generally found the MR Linac treatment couch more comfortable, however, found the increase in treatment duration harder to tolerate. Responses for all items remained stable between first and last fraction across both cohorts, indicating minimal temporal variation within a single modality. None of the responses were statistically significant at the 0·01 level.

Whether radiotherapy for PCa is delivered on a CBCT linac or the MR Linac, there is little difference in patient experience with minimal experiential variation within a single modality.

To assess ability of National Early Warning Score 2 (NEWS2), systemic inflammatory response syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), and CRB-65 calculated at the time of intensive care unit (ICU) admission for predicting ICU mortality in patients of laboratory confirmed coronavirus disease 2019 (COVID-19) infection.

This prospective data analysis was based on chart reviews for laboratory confirmed COVID-19 patients admitted to ICUs over a 1-mo period. The NEWS2, CRB-65, qSOFA, and SIRS were calculated from the first recorded vital signs upon admission to ICU and assessed for predicting mortality.

Total of 140 patients aged between 18 and 95 y were included in the analysis of whom majority were >60 y (47.8%), with evidence of pre-existing comorbidities (67.1%). The most common symptom at presentation was dyspnea (86.4%). Based upon the receiver operating characteristics area under the curve (AUC), the best discriminatory power to predict ICU mortality was for the CRB-65 (AUC: 0.720 [95% confidence interval [CI]: 0.630-0.811]) followed closely by NEWS2 (AUC: 0.712 [95% CI: 0.622-0.803]). Additionally, a multivariate Cox regression model showed Glasgow Coma Scale score at time of admission (P < 0.001; adjusted hazard ratio = 0.808 [95% CI: 0.715-0.911]) to be the only significant predictor of ICU mortality.

CRB-65 and NEWS2 scores assessed at the time of ICU admission offer only a fair discriminatory value for predicting mortality. Further evaluation after adding laboratory markers such as C-reactive protein and D-dimer may yield a more useful prediction model. Much of the earlier data is from developed countries and uses scoring at time of hospital admission. This study was from a developing country, with the scores assessed at time of ICU admission, rather than the emergency department as with existing data from developed countries, for patients with moderate/severe COVID-19 disease. Because the scores showed some utility for predicting ICU mortality even when measured at time of ICU admission, their use in allocation of limited ICU resources in a developing country merits further research.

Frontline health care workers exposed to COVID-19 patients could be at increased risk of developing psychological issues. The study aimed to estimate the prevalence of mental health-related problems, specifically depression, anxiety, post-traumatic stress disorder (PTSD), and insomnia among health care professionals during the COVID-19 pandemic in Bangladesh and to compare these between medical and allied health care professionals.

This cross-sectional survey was conducted using Google Form then subsequent telephone interview between June and August 2020. Using random sampling, a total of 479 health care professionals participated in the study. We collected data on demographics. Anxiety and depression were measured using 4 items Patient Health Questionnaire-4 (PHQ-4), PTSD was measured using 4 items Primary Care (PC)-PTSD-Screen, and insomnia was measured by using a 7-item Insomnia Severity Index (ISI). A multivariable logistic regression analysis was performed to assess risk factors associated with mental health symptoms.

Overall, 17.6% of frontline health workers had symptoms of anxiety, 15.5% had depression symptoms, 7.6% had PTSD symptoms and 5.9% had symptoms of insomnia. Compared to allied health professionals (n = 113, 24%), doctors (n = 366, 76%) had significantly higher prevalence of anxiety: 21.1% vs 06%, (OR = 4.19; 95% CI = 1.88–9.35; p-value <0.001); depression: 18% vs 6.8%, (OR = 2.99; 95% CI = 1.40–6.42; p-value 0.005); PTSD: 9.4% vs 1.7%, (OR = 5.96; 95% CI = 1.41–25.11; p-value 0.015) and insomnia: 7.4% vs 0.9%, (OR = 9.22; 95% CI = 1.24–68.4; p-value 0.03). Logistic regression analysis showed that pre-existing medical illness has significantly more risks of developing symptoms of anxiety (adjusted OR = 2.85; 95% CI = 1.71–4.76; p-value <0.001) and depression (OR = 2.29; 95% CI = 1.39–3.77; p-value 0.001). Having a postgraduate degree (adjusted OR = 6.13; 95% CI = 1.28–29.28; p-value 0.023) and working in secondary care setting (adjusted OR = 3.08; 95% CI = 1.18–8.02; p value 0.021) have significant predictors of developing anxiety symptoms among health workers. Those who had worked more than 6 weeks in COVID-19 dedicated hospitals had risk of developing symptoms of PSTD (OR = 2.83; 95% CI = 1.35–5.93; p value 0.006) and insomnia (OR = 2.63; 95% CI = 1.15–6.02; p value 0.022).

Our study demonstrated a high prevalence of symptoms of depression, anxiety, PTSD, and insomnia among Bangladeshi frontline health workers (particularly among doctors) during the COVID-19 pandemic. There is an urgent need to address the mental health needs of frontline health workers.

Funding: Medical Research Council, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh.

Several aspects of the coronavirus disease 2019 (COVID-19) pandemic remain ambiguous, including its transmission, severity, geographic, and racial differences in mortality. These variations merit elaboration of local patterns to inform wider national policies.

In a retrospective analysis, data of patients treated at a dedicated COVID hospital with moderate and severe illness during 8 wk of the pandemic were reviewed with attention to mortality in a competing risks framework.

A total of 1147 patients were hospitalized, and 312 (27.2%) died in hospital. Those who died were older (56.5 vs 47.6 y; P < 0.0001). Of these, 885 (77.2%) had tested positive on reverse transcriptase polymerase chain reaction (RT-PCR), with 219 (24.2%) deaths (incidence rate, 1.9 per 100 person-days). Median time from onset of symptoms to death was 11 days. A competing risks analysis for in-hospital death revealed an adjusted cause-specific hazard ratio of 1.4 for each decade increase in age.

This retrospective analysis provides broad patterns of disease presentation and mortality. Even COVID test-negative patients will receive treatment at dedicated facilities, and 33% presenting cases may die within the first 72 h, most with comorbid illness. This should be considered while planning distribution of services for effective health-care delivery

To assess the safety, sustainability, and effectiveness of a laboratory intervention to reduce processing of midstream urine (MSU) cultures.

Prospective observational cohort.

Medical and surgical inpatients in a tertiary-care hospital.

The study included 1,678 adult inpatients with an order for MSU culture.

From 2013 to 2019, ordered MSU cultures were not processed unless the laboratory was called. Patients were interviewed on days 0 and 4; from 2017 to 2019, day-30 follow-up was added. Primary outcome was serious adverse events due to not processing MSU cultures. Secondary outcomes were nonserious adverse events due to not processing MSU cultures, rates of MSU cultures submitted, proportion of MSU cultures processed, proportion of patients prescribed urinary tract infection (UTI)–directed antibiotics, and laboratory workload.

Among 912 and 459 patients followed to days 4 and 30, respectively, no serious adverse events attributable to not processing MSU cultures were identified. However, 6 patients (0.66%) had prolonged urinary symptoms potentially associated with not processing MSU cultures. We estimated that 4 patients missed having empiric antibiotics stopped in response to negative MSU cultures, and 99 antibiotic courses for asymptomatic bacteriuria (ASB) and 8 antibiotic-associated adverse events were avoided. The rate of submitted MSU samples and proportion of patients receiving empiric UTI-directed antibiotics did not change. The proportion of MSU cultures processed declined from 59% to 49% (P < .0001), and total laboratory workload was reduced by 185 hours.

De-adopting the processing of MSU cultures from medical and surgical inpatient units is safe and sustainable, and it reduces antibiotic prescriptions for ASB at a cost of prolonged urinary symptoms in a small proportion of patients.

Meditation is associated with health benefits; however, there are reports that it may trigger or exacerbate psychotic states. In this review, we aim to collate case reports of psychotic disorders occurring in association with meditative practice and to discuss the relationship between psychosis and meditation.

We performed case-based analysis of all the existing studies published in English language using PubMed, PsycINFO, Cochrane, Scopus, EMBASE, CINAHL and Google Scholar with the search terms; ‘Psychosis’ OR ‘Psychotic Symptoms’ OR ‘Schizophrenia’ AND ‘Meditation.’

A total of 19 studies and 28 cases were included in the review. The patients described had an age range of 18–57 years; there was equal distribution of males and females. The diagnoses included acute psychosis in 14 cases, schizophrenia in 7 cases, mania with psychotic symptoms in 3 cases, and schizoaffective disorder in 1 case. The types of meditation described were Transcendent, Mindfulness, Buddhist Meditation like Qigong, Zen, and Theraveda, and others like Bikram yoga, Pranic Healing, and Hindustan Type meditation. Of the 28 cases reported, 14 patients had certain precipitating factors like insomnia, lack of food intake, history of mental illness, stress, and psychoactive substance use.

There are case reports of psychotic disorder arising in association with meditative practice; however, it is difficult to attribute a causal relationship between the two. At the same time, there is a body of research describing the beneficial effect of meditative practice in clinical settings for patients with psychotic disorders. Appropriately designed studies are needed to further investigate the relationship between meditative practice and psychosis.