Numerical simulation of heavy fermions in an SU(2)_L x SU(2)_R symmetric Yukawa model

An exploratory numerical study of the influence of heavy fermion doublets on the mass of the Higgs boson is performed in the decoupling limit of a chiral $\rm SU(2)_L \otimes SU(2)_R$ symmetric Yukawa model with mirror fermions. The behaviour of fermion and boson masses is investigated at infinite bare quartic coupling on $4^3 \cdot 8$, $6^3 \cdot 12$ and $8^3 \cdot 16$ lattices. A first estimate of the upper bound on the renormalized quartic coupling as a function of the renormalized Yukawa-coupling is given.Comment: 15 pp + 11 Figures appended as Postscript file

Large-q expansion of the energy and magnetization cumulants for the two-dimensional q-state Potts model

We have calculated the large-q expansion for the energy cumulants and the magnetization cumulants at the phase transition point in the two-dimensional q-state Potts model to the 21st or 23rd order in $1/\sqrt{q}$ using the finite lattice method. The obtained series allow us to give very precise estimates of the cumulants for $q>4$ on the first order transition point. The result confirms us the correctness of the conjecture by Bhattacharya et al. on the asymptotic behavior not only of the energy cumulants but also of the magnetization cumulants for $q \to 4_+$.Comment: 36 pages, LaTeX, 20 postscript figures, to appear in Nuclear Physics

Multidisciplinary decision-making in older patients with cancer, does it differ from younger patients?

Background: In order to tailor treatment to the individual patient, it is important to take the patients context and preferences into account, especially for older patients. We assessed the quality of information used in the decision-making process in different oncological MDTs and compared this for older (>70 years) and younger patients. Patients and methods: Cross-sectional observations of oncological MDTs were performed, using an observation tool in a University Hospital. Primary outcome measures were quality of input of information into the discussion for older and younger patients. Secondary outcomes were the contribution of different team members, discussion time for each case and whether or not a treatment decision was formulated. Results: Five-hundred and three cases were observed. The median patient age was 63 year, 32% were >70. In both age groups quality of patient-centered information (psychosocial information and patient's view) was poor. There was no difference in quality of information between older and younger patients, only for comorbidities the quality of information for older patients was better. There was no significant difference in the contributions by team members, discussion time (median 3.54 min) or number of decision reached (87.5%). Conclusion: For both age groups, we observed a lack of patient-centered information. The only difference between the age groups was for information on comorbidities. There were also no differences in contributions by different team members, case discussion time or number of decisions. Decision-making in the observed oncological MDTs was mostly based on medical technical information. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Screening instruments for cognitive impairment in older patients in the Emergency Department:A systematic review and meta-analysis

Background: Cognitive impairment is highly prevalent among older patients attending the Emergency Department (ED) and is associated with adverse outcomes. Methods: we conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of cognitive screening instruments to rule out cognitive impairment in older patients in the ED. A comprehensive literature search was performed in MEDLINE, EMBASE, CINAHL and CENTRAL. A risk of bias assessment using QUADAS-2 was performed. Results: 23 articles, examining 18 different index tests were included. Only seven index tests could be included in the meta-analysis. For ruling out cognitive impairment irrespective of aetiology, Ottawa 3 Day Year (O3DY) (pooled sensitivity 0.90; (95% CI) 0.71-0.97) had the highest sensitivity. Fourteen articles focused on screening for cognitive impairment specifically caused by delirium. For ruling out delirium, the 4 A's Test (4AT) showed highest sensitivity (pooled sensitivity 0.87, 95% confidence interval (95% CI) 0.74-0.94). Conclusions: High clinical and methodological heterogeneity was found between included studies. Therefore, it is a challenge to recommend one diagnostic test for use as a screening instrument for cognitive impairment in the ED. The 4AT and O3DY seem most promising for ruling out cognitive impairment in older patients attending the ED. The review protocol was registered in PROSPERO (CRD42018082509)

The predictive value of the 'VMS frail older patients' for adverse outcomes in geriatric inpatients

Background/Objective: The Dutch Safety Management system (VMS) screening for frail older patients is used as a predictor for adverse outcomes. We aimed to determine the predictive value of the VMS for adverse outcomes in geriatric inpatients. Design: Retrospective cohort study in geriatric inpatients. Outcomes were institutionalization, readmission and mortality (3- and 12-months). Logistic regression analysis was performed to assess the predictive value of the number of positive VMS domains, a VMS score >= 1, and individual domains for adverse outcomes. Results: We included 477 patients. Median age was 85 years (54-99) and 37% were male. Eighty-seven % scored positive on delirium risk, 57% on fall risk, 39% on malnutrition and 64% on physical impairment. One-hundredthirty-five patients (28%) were institutionalized, 78 patients (16%) were readmitted and mortality rate was 127 (27%) at 3 months and 184 (39%) at one year. The VMS was not predictive for readmission (OR 1.6; 95%-CI 0.213.7) and mortality, (OR 0.6 95%-CI 0.2-2.0 and OR 1.1; 95%-CI 0.3-3.7). For institutionalization, delirium risk (OR 2.2; 95%-CI 1.1-4.4), physical impairment (OR 1.8; 95%-CI 1.1-2.9) and a positive score on all four domains were predictive (OR 12.1 95%-CI-1.4-101.7). Malnutrition was predictive for readmission (OR 1.74; 95%-CI 1.05-2.91) and three-month mortality (OR 1.69; 95%-CI 1.11-2.57), delirium risk for one -year mortality (OR 2.0; 95%-CI 1.0-4.0) . Conclusions: Almost all geriatric inpatients scored positive on at least one domain of the VMS. The number of positive VMS domains had some predictive value for institutionalization. Individual domains were able to predict adverse outcomes