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.

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.

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.

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.

Red blood cell distribution width for the prediction of outcomes after cardiac arrest.

The red blood cell distribution width (RDW) is a routinely available blood marker that measures the variation of the size/volume of red blood cells. The aim of our study was to investigate the prognostic value of RDW in cardiac arrest patients and to assess whether RDW improves the prognostic value of three cardiac arrest-specific risk scores. Consecutive adult cardiac arrest patients admitted to the ICU of a Swiss university hospital were included. The primary outcome was poor neurological outcome at hospital discharge assessed by Cerebral Performance Category. Of 702 patients admitted to the ICU after cardiac arrest, 400 patients (57.0%) survived, of which 323 (80.8%) had a good neurological outcome. Higher mean RDW values showed an independent association with poor neurological outcomes at hospital discharge (adjusted OR 1.27, 95% CI 1.14 to 1.41; p < 0.001). Adding the maximum RDW value to the OHCA- CAHP- and PROLOGUE cardiac arrest scores improved prognostic performance. Within this cohort of cardiac arrest patients, RDW was an independent outcome predictor and slightly improved three cardiac arrest-specific risk scores. RDW may therefore support clinical decision-making.

The Disclosure of Bad News Over the Phone vs. in Person and its Association with Psychological Distress: a Systematic Review and Meta-Analysis.

BACKGROUND: Communicating bad news such as a new cancer diagnosis to patients may have a major impact on their well-being. We investigated differences in patients' psychological distress due to the disclosure of bad news by telephone compared to in person in a systematic review and meta-analysis. METHODS: We included all studies that investigated anxiety, depressive or post-traumatic stress disorder (PTSD) symptoms in adult patients in whom bad news by telephone compared to in person were disclosed. We systematically searched PubMed, Embase, PsycINFO and CINAHL from the inception of each database to October 18, 2022. We included randomized and non-randomized trials. RESULTS: We screened 5944 studies and included 11 studies in the qualitative analysis and 9 in the meta-analyses, including four randomized controlled trials. Overall, the quality of studies was moderate to good. There was no difference regarding psychological distress when bad news was disclosed by telephone compared to in person with similar symptom levels of anxiety (3 studies, 285 participants; standardized mean difference [SMD] 0.10 [95% CI -0.15 to 0.35]), depression (3 studies, 284 participants; SMD 0.10 [95% CI -0.30 to 0.49]), and PTSD (2 studies, 171 participants; SMD -0.01 [95% CI -0.48 to 0.36]). Results were similar for satisfaction with care. DISCUSSION: This meta-analysis found no difference regarding psychological distress regardless if bad news were disclosed by telephone or in person, but there were overall only few and heterogeneous studies with a small number of eligible patients. The findings suggest that the modality of disclosure might play a secondary role and the way in which the bad news are communicated might be more important.

Breaking bad news: A randomized controlled trial to test a novel interactive course for medical students using blended learning.

OBJECTIVE: Breaking bad news (BBN) is challenging for physicians and patients and specific communication strategies aim to improve these situations. This study evaluates whether an E-learning assignment could improve medical students' accurate recognition of BBN communication techniques. METHODS: This randomized controlled trial was conducted at the University of Basel. After a lecture on BBN, 4th year medical students were randomized to an intervention receiving an E-learning assignment on BBN or to a control group. Both groups then worked on an examination video and identified previously taught BBN elements shown in a physician-patient interaction. The number of correctly, misclassified and incorrectly identified BBN communication elements as well as missed opportunities were assessed in the examination video. RESULTS: We included 160 medical students (55% female). The number of correctly identified BBN elements did not differ between control and intervention group (mean [SD] 3.51 [2.50] versus 3.72 [2.34], p = 0.58). However, the mean number of inappropriate BBN elements was significantly lower in the intervention than in the control group (2.33 [2.57] versus 3.33 [3.39], p = 0.037). CONCLUSIONS: Use of an E-learning tool reduced inappropriate annotations regarding BBN communication techniques. PRACTICE IMPLICATIONS: This E-learning might help to further advance communication skills in medical students.

Psychological burden in patients with COVID-19 and their relatives 90 days after hospitalization: A prospective observational cohort study.

OBJECTIVE: COVID-19 causes psychological distress for patients and their relatives at short term. However, little research addressed the longer-term psychological outcomes in this population. Therefore, we aimed to prospectively assess clinically relevant psychological distress in hospitalized patients with COVID-19 and their relatives 90 days after hospital discharge. METHODS: This exploratory, prospective, observational cohort study included consecutive adult patients hospitalized in two Swiss tertiary-care hospitals between March and June 2020 for confirmed COVID-19 and their relatives. The primary outcome was psychological distress defined as clinically relevant symptoms of anxiety and/or depression measured with the Hospital Anxiety and Depression Scale (HADS) 90 days after discharge. RESULTS: Clinically relevant psychological distress 90 days after hospital discharge was present in 23/108 patients (21.3%) and 22/120 relatives (18.3%). For patients, risk and protective factors associated with clinically relevant psychological distress included sociodemographic, illness-related, psychosocial, and hospital-related factors. A model including these factors showed good discrimination, with an area under the receiver-operating characteristic curve (AUC) of 0.84. For relatives, relevant risk factors were illness-related, psychosocial, and hospital-related factors. Resilience was negatively associated with anxiety and depression in both patients and relatives and regarding PTSD in relatives only. CONCLUSION: COVID-19 is linked to clinically relevant psychological distress in a subgroup of patients and their relatives 90 days after hospitalization. If confirmed in an independent and larger patient cohort, knowledge about these potential risk and protective factors might help to develop preventive strategies.