The association of vaccination status with perceived discrimination in patients with COVID-19: results from a cross-sectional study.

STUDY AIMS: During the COVID-19 pandemic, there was increasing pressure to be vaccinated to prevent further spread of the virus and improve outcomes. At the same time, part of the population expressed reluctance to vaccination, for various reasons. Only a few studies have compared the perceptions of vaccinated and non-vaccinated patients being treated in hospitals for COVID-19. Our aim was to investigate the association between vaccination status and perceived healthcare-associated discrimination in patients with COVID-19 receiving hospital treatment. METHODS: Adult patients presenting to the emergency department or hospitalised for inpatient care due to or with COVID-19 from 1 June to 31 December 2021 in two Swiss hospitals were eligible. The primary endpoint was patients' perceived healthcare-associated discrimination, measured with the Discrimination in Medical Settings (DMS) scale. Secondary endpoints included different aspects of perceived quality of care and symptoms of psychological distress measured with the Hospital Anxiety and Depression Scale. RESULTS: Non-vaccinated patients (n = 113) had significantly higher DMS scores compared to vaccinated patients (n = 80) (mean: 9.54 points [SD: 4.84] vs 7.79 points [SD: 1.85]; adjusted difference: 1.18 [95% CI: 0.04-2.33 points]) and 21 of 80 vaccinated patients felt discriminated against vs 54 of 113 non-vaccinated patients (adjusted OR: 2.09 [95% CI: 1.10-3.99 ]). Non-vaccinated patients reported lower scores regarding respectful treatment by the nursing team (mean: 8.39 points [SD: 2.39] vs 9.30 points [SD: 1.09]; adjusted difference: -0.6 [95% CI: -1.18 - -0.02 points]). CONCLUSION: We found an association between vaccination status and perceived healthcare-associated discrimination. Healthcare workers should act in a professional manner regardless of a patient's vaccination status; in doing so, they might prevent the creation of negative perceptions in patients.

Post-intensive care syndrome and health-related quality of life in long-term survivors of cardiac arrest: a prospective cohort study.

Patients discharged from intensive care are at risk for post-intensive care syndrome (PICS), which consists of physical, psychological, and/or neurological impairments. This study aimed to analyze PICS at 24 months follow-up, to identify potential risk factors for PICS, and to assess health-related quality of life in a long-term cohort of adult cardiac arrest survivors. This prospective cohort study included adult cardiac arrest survivors admitted to the intensive care unit of a Swiss tertiary academic medical center. The primary endpoint was the prevalence of PICS at 24 months follow-up, defined as impairments in physical (measured through the European Quality of Life 5-Dimensions-3-Levels instrument [EQ-5D-3L]), neurological (defined as Cerebral Performance Category Score > 2 or Modified Rankin Score > 3), and psychological (based on the Hospital Anxiety and Depression Scale and the Impact of Event Scale-Revised) domains. Among 107 cardiac arrest survivors that completed the 2-year follow-up, 46 patients (43.0%) had symptoms of PICS, with 41 patients (38.7%) experiencing symptoms in the physical domain, 16 patients (15.4%) in the psychological domain, and 3 patients (2.8%) in the neurological domain. Key predictors for PICS in multivariate analyses were female sex (adjusted odds ratio [aOR] 3.17, 95% CI 1.08 to 9.3), duration of no-flow interval during cardiac arrest (minutes) (aOR 1.17, 95% CI 1.02 to 1.33), post-discharge job-loss (aOR 31.25, 95% CI 3.63 to 268.83), need for ongoing psychological support (aOR 3.64, 95% CI 1.29 to 10.29) or psychopharmacologic treatment (aOR 9.49, 95% CI 1.9 to 47.3), and EQ-visual analogue scale (points) (aOR 0.88, 95% CI 0.84 to 0.93). More than one-third of cardiac arrest survivors experience symptoms of PICS 2 years after resuscitation, with the highest impairment observed in the physical and psychological domains. However, long-term survivors of cardiac arrest report intact health-related quality of life when compared to the general population. Future research should focus on appropriate prevention, screening, and treatment strategies for PICS in cardiac arrest patients.

Prediction of outcomes after cardiac arrest by a generative artificial intelligence model.

Aims: To investigate the prognostic accuracy of a non-medical generative artificial intelligence model (Chat Generative Pre-Trained Transformer 4 - ChatGPT-4) as a novel aspect in predicting death and poor neurological outcome at hospital discharge based on real-life data from cardiac arrest patients. Methods: This prospective cohort study investigates the prognostic performance of ChatGPT-4 to predict outcomes at hospital discharge of adult cardiac arrest patients admitted to intensive care at a large Swiss tertiary academic medical center (COMMUNICATE/PROPHETIC cohort study). We prompted ChatGPT-4 with sixteen prognostic parameters derived from established post-cardiac arrest scores for each patient. We compared the prognostic performance of ChatGPT-4 regarding the area under the curve (AUC), sensitivity, specificity, positive and negative predictive values, and likelihood ratios of three cardiac arrest scores (Out-of-Hospital Cardiac Arrest [OHCA], Cardiac Arrest Hospital Prognosis [CAHP], and PROgnostication using LOGistic regression model for Unselected adult cardiac arrest patients in the Early stages [PROLOGUE score]) for in-hospital mortality and poor neurological outcome. Results: Mortality at hospital discharge was 43% (n = 309/713), 54% of patients (n = 387/713) had a poor neurological outcome. ChatGPT-4 showed good discrimination regarding in-hospital mortality with an AUC of 0.85, similar to the OHCA, CAHP, and PROLOGUE (AUCs of 0.82, 0.83, and 0.84, respectively) scores. For poor neurological outcome, ChatGPT-4 showed a similar prediction to the post-cardiac arrest scores (AUC 0.83). Conclusions: ChatGPT-4 showed a similar performance in predicting mortality and poor neurological outcome compared to validated post-cardiac arrest scores. However, more research is needed regarding illogical answers for potential incorporation of an LLM in the multimodal outcome prognostication after cardiac arrest.

Thermal segment microwell plate control for automated liquid handling setups.

Automated high-throughput liquid handling operations in biolabs necessitate miniaturised and automatised equipment for effective space utilisation and system integration. This paper presents a thermal segment microwell plate control unit designed for enhanced microwell-based experimentation in liquid handling setups. The development of this device stems from the need to move towards geometry standardization and system integration of automated lab equipment. It incorporates features based on Smart Sensor and Sensor 4.0 concepts. An enzymatic activity assay is implemented with the developed device on a liquid handling station, allowing fast characterisation via a high-throughput approach. The device outperforms other comparable devices in certain metrics based on automated liquid handling requirements and addresses the needs of future biolabs in automation, especially in high-throughput screening.

Misconceptions and do-not-resuscitate preferences of healthcare professionals commonly involved in cardiopulmonary resuscitations: A national survey.

Aims: To assess the DNR preferences of critical care-, anesthesia- and emergency medicine practitioners, to identify factors influencing decision-making, and to raise awareness for misconceptions concerning CPR outcomes. Methods: A nationwide multicenter survey was conducted in Switzerland confronting healthcare professionals with a case vignette of an adult patient with an out-of-hospital cardiac arrest (OHCA). The primary outcome was the rate of DNR Code Status vs. CPR Code Status when taking the perspective from a clinical case vignette of a 70-year-old patient. Secondary outcomes were participants' personal preferences for DNR and estimates of survival with good neurological outcome after in- and out-of-hospital cardiac arrest. Results: Within 1803 healthcare professionals, DNR code status was preferred in 85% (n = 1532) in the personal perspective of the case vignette and 53.2% (n = 932) when making a decision for themselves. Main predictors for a DNR Code Status regarding the case vignette included preferences for DNR Code Status for themselves (n [%] 896 [58.5] vs. 87 [32.1]; adjusted odds ratio [OR] 2.97, 95% confidence interval [CI] 2.25-3.92; p < 0.001) and lower estimated OHCA survival (mean [±SD] 12.3% [±11.8] vs. 14.7%[±12.8]; adjusted OR 0.98, 95% CI 0.97-0.99; p = 0.001). Physicians chose a DNR order more often when compared to nurses and paramedics. Conclusions: The estimation of outcomes following cardiac arrest and personal living conditions are pivotal factors influencing code status preferences in healthcare professionals. Healthcare professionals should be aware of cardiac arrest prognosis and potential implications of personal preferences when engaging in code status- and end-of-life discussions with patients and their relatives.

[Integrative medicine: what's new in 2023]. / Médecine intégrative : ce qui a changé en 2023.

To illustrate the news of 2023 in integrative medicine, the authors summarized four particularly relevant studies. The first highlights one of the foundational principles of integrative medicine, describing the importance of respecting patient preference in the choice of a therapeutic approach, promoting their «empowerment¼. The second article proposes methodological recommendations to improve the scientific value of studies assessing the efficacy and mechanisms of non-pharmacological approaches. Finally, the last two articles are randomized studies designed to either demonstrate the feasibility and effect of hypnosis in geriatrics, or evaluate the efficacy of a several combined complementary approaches for cancer-related fatigue.

Dans cette nouvelle édition consacrée aux nouveautés en médecine intégrative, les auteurs ont choisi de résumer quatre études particulièrement pertinentes parmi les articles publiés en 2023. La première souligne l'un des principes fondateurs de la médecine intégrative en décrivant l'importance du respect de la préférence du patient dans le choix d'une approche thérapeutique, favorisant leur « empowerment ¼. La deuxième propose des recommandations méthodologiques afin d'améliorer la valeur scientifique des études de l'efficacité et des mécanismes d'approches non pharmacologiques. Enfin, les deux dernières sont des études randomisées visant à démontrer, d'une part, la faisablité et l'effet de l'hypnose en gériatrie et, d'autre part, l'efficacité d'une combinaison d'approches complémentaires pour lutter contre la fatigue liée au cancer.