Predicting neurological outcome in adult patients with cardiac arrest: systematic review and meta-analysis of prediction model performance.

This work aims to assess the performance of two post-arrest (out-of-hospital cardiac arrest, OHCA, and cardiac arrest hospital prognosis, CAHP) and one pre-arrest (good outcome following attempted resuscitation, GO-FAR) prediction model for the prognostication of neurological outcome after cardiac arrest in a systematic review and meta-analysis. A systematic search was conducted in Embase, Medline, and Web of Science Core Collection from November 2006 to December 2021, and by forward citation tracking of key score publications. The search identified 1'021 records, of which 25 studies with a total of 124'168 patients were included in the review. A random-effects meta-analysis of C-statistics and overall calibration (total observed vs. expected [O:E] ratio) was conducted. Discriminatory performance was good for the OHCA (summary C-statistic: 0.83 [95% CI 0.81-0.85], 16 cohorts) and CAHP score (summary C-statistic: 0.84 [95% CI 0.82-0.87], 14 cohorts) and acceptable for the GO-FAR score (summary C-statistic: 0.78 [95% CI 0.72-0.84], five cohorts). Overall calibration was good for the OHCA (total O:E ratio: 0.78 [95% CI 0.67-0.92], nine cohorts) and the CAHP score (total O:E ratio: 0.78 [95% CI 0.72-0.84], nine cohorts) with an overestimation of poor outcome. Overall calibration of the GO-FAR score was poor with an underestimation of good outcome (total O:E ratio: 1.62 [95% CI 1.28-2.04], five cohorts). Two post-arrest scores showed good prognostic accuracy for predicting neurological outcome after cardiac arrest and may support early discussions about goals-of-care and therapeutic planning on the intensive care unit. A pre-arrest score showed acceptable prognostic accuracy and may support code status discussions.

Serum neurofilament measurement improves clinical risk scores for outcome prediction after cardiac arrest: results of a prospective study.

BACKGROUND: A recent study found serum neurofilament light chain (NfL) levels to be strongly associated with poor neurological outcome in patients after cardiac arrest. Our aim was to confirm these findings in an independent validation study and to investigate whether NfL improves the prognostic value of two cardiac arrest-specific risk scores. METHODS: This prospective, single-center study included 164 consecutive adult after out-of-hospital cardiac arrest (OHCA) patients upon intensive care unit admission. We calculated two clinical risk scores (OHCA, CAHP) and measured NfL on admission within the first 24 h using the single molecule array NF-light® assay. The primary endpoint was neurological outcome at hospital discharge assessed with the cerebral performance category (CPC) score. RESULTS: Poor neurological outcome (CPC > 3) was found in 60% (98/164) of patients, with 55% (91/164) dying within 30 days of hospitalization. Compared to patients with favorable outcome, NfL was 14-times higher in patients with poor neurological outcome (685 ± 1787 vs. 49 ± 111 pg/mL), with an adjusted odds ratio of 3.4 (95% CI 2.1 to 5.6, p < 0.001) and an area under the curve (AUC) of 0.82. Adding NfL to the clinical risk scores significantly improved discrimination of both the OHCA score (from AUC 0.82 to 0.89, p < 0.001) and CAHP score (from AUC 0.89 to 0.92, p < 0.05). Adding NfL to both scores also resulted in significant improvement in reclassification statistics with a Net Reclassification Index (NRI) of 0.58 (p < 0.001) for OHCA and 0.83 (p < 0.001) for CAHP. CONCLUSIONS: Admission NfL was a strong outcome predictor and significantly improved two clinical risk scores regarding prognostication of neurological outcome in patients after cardiac arrest. When confirmed in future outcome studies, admission NfL should be considered as a standard laboratory measures in the evaluation of OHCA patients.

Association of medical futility with do-not-resuscitate (DNR) code status in hospitalised patients.

Guidelines recommend a 'do-not-resuscitate' (DNR) code status for inpatients in which cardiopulmonary resuscitation (CPR) attempts are considered futile because of low probability of survival with good neurological outcome. We retrospectively assessed the prevalence of DNR code status and its association with presumed CPR futility defined by the Good Outcome Following Attempted Resuscitation score and the Clinical Frailty Scale in patients hospitalised in the Divisions of Internal Medicine and Traumatology/Orthopedics at the University Hospital of Basel between September 2018 and June 2019. The definition of presumed CPR futility was met in 467 (16.2%) of 2889 patients. 866 (30.0%) patients had a DNR code status. In a regression model adjusted for age, gender, main diagnosis, nationality, language and religion, presumed CPR futility was associated with a higher likelihood of a DNR code status (37.3% vs 7.1%, adjusted OR 2.99, 95% CI 2.31 to 3.88, p<0.001). In the subgroup of patients with presumed futile CPR, 144 of 467 (30.8%) had a full code status, which was independently associated with younger age, male gender, non-Christian religion and non-Swiss citizenship. We found a significant proportion of hospitalised patients to have a full code status despite the fact that CPR had to be considered futile according to an established definition. Whether these decisions were based on patient preferences or whether there was a lack of patient involvement in decision-making needs further investigation.

Trimethylamine-N-oxide (TMAO) predicts short- and long-term mortality and poor neurological outcome in out-of-hospital cardiac arrest patients.

Objectives: Prior research found the gut microbiota-dependent and pro-atherogenic molecule trimethylamine-N-oxide (TMAO) to be associated with cardiovascular events as well as all-cause mortality in different patient populations with cardiovascular disease. Our aim was to investigate the prognostic value of TMAO regarding clinical outcomes in patients after out-of-hospital cardiac arrest (OHCA). Methods: We included consecutive OHCA patients upon intensive care unit admission into this prospective observational study between October 2012 and May 2016. We studied associations of admission serum TMAO with in-hospital mortality (primary endpoint), 90-day mortality and neurological outcome defined by the Cerebral Performance Category (CPC) scale. Results: We included 258 OHCA patients of which 44.6% died during hospitalization. Hospital non-survivors showed significantly higher admission TMAO levels (µmol L-1) compared to hospital survivors (median interquartile range (IQR) 13.2 (6.6-34.9) vs. 6.4 (2.9-15.9), p<0.001). After multivariate adjustment for other prognostic factors, TMAO levels were significantly associated with in-hospital mortality (adjusted odds ratios (OR) 2.1, 95%CI 1.1-4.2, p=0.026). Results for secondary outcomes were similar with significant associations with 90-day mortality and neurological outcome in univariate analyses. Conclusions: In patients after OHCA, TMAO levels were independently associated with in-hospital mortality and other adverse clinical outcomes and may help to improve prognostication for these patients in the future. Whether TMAO levels can be influenced by nutritional interventions should be addressed in future studies.

Illness severity scoring in status epilepticus-When STESS meets APACHE II, SAPS II, and SOFA.

OBJECTIVE: To characterize a critically ill cohort with status epilepticus (SE) by the illness severity scoring systems SAPS II (Simplified Acute Physiology Score II), APACHE II (Acute Physiology and Chronic Health Evaluation II), and SOFA (Sequential Organ Failure Assessment), and to compare their performance with the STESS (Status Epilepticus Severity Score) for outcome prediction. METHODS: The prospective cohort study was carried out at the University Hospital Basel, a Swiss tertiary academic medical care center. Consecutive adult SE patients hospitalized in the intensive care units from 2011 to 2016 were included. Illness severity scores and additional clinical data were recorded. Logistic regression models using automated variable selection were applied to identify scores associated with no return to functional and neurological baseline and death. Measures of discrimination and calibration were assessed. RESULTS: Among 184 patients, 33% returned to baseline. Median scores of the illness severity scores were within the lowest third of the possible scoring ranges, and all differed significantly between patients with and without return to baseline. The areas under the receiver operating curves for the prediction of no return to baseline and death ranged from 0.64 to 0.73, with the highest value for the STESS predicting no return to baseline. Measures of calibration revealed adequate model fit for all analyses. Among integral components of the scoring systems, only the Glasgow Coma Scale (GCS) differed significantly between patients with and without return to baseline. In multivariable analyses, decreasing GCS and increasing STESS had the strongest associations (odds ratio [OR] = 0.84, 95% confidence interval [CI] = 0.77-0.93 and OR = 1.34, 95% CI = 1.05-1.68, respectively) with no return to baseline independent of all other scoring systems, whereas the APACHE II revealed the strongest association with death (OR = 1.15, 95% CI = 1.06-1.25). SIGNIFICANCE: Although complex illness severity scoring systems in SE patients facilitate benchmarking and comparisons with other severely ill patient cohorts, they offer no advantages over the STESS and GCS regarding prediction of no return to baseline.

Acute Neurologic Complications During Extracorporeal Membrane Oxygenation: A Systematic Review.

OBJECTIVES: We determine the frequency, risk factors, and mortality of neurologic complications in adults on extracorporeal membrane oxygenation and propose an algorithm for preventive strategies. DATA SOURCES: PubMed, Embase, and Cochrane databases. STUDY SELECTION: Screening was performed using predefined search terms to identify cohort studies reporting neurologic complications in adults during extracorporeal membrane oxygenation from 1990 to 2017. DATA EXTRACTION: The final reference list was generated on the basis of relevance to the discussed topics. Quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation classification of evidence scheme. DATA SYNTHESIS: In 44 studies, the median frequency of acute neurologic complications is 13% (1-78%; 5% intracranial hemorrhages, 5% ischemic strokes, 2% seizures). Neurologic complications are reported more frequently with venoarterial extracorporeal membrane oxygenation compared with venovenous extracorporeal membrane oxygenation (14 vs eight studies) with a median proportion of complications of 15% (6-33%; 95% CI, 8-19) for venoarterial extracorporeal membrane oxygenation. Median in-hospital mortality is higher with neurologic complications (83%; interquartile range, 54-100% vs 42%; interquartile range, 24-55% without neurologic complications; p < 0.001). Median mortality is 96% for hemorrhages, 84% for ischemic strokes 84%, and 40% for seizures. Risk factors are age, preextracorporeal membrane oxygenation cardiac arrest, hypoglycemia, and administration of inotropes. Hemorrhages are associated with female gender, duration of ventilation and extracorporeal membrane oxygenation, decreased serum fibrinogen, heparin, serum creatinine greater than 2.6 mg/dL, hemodialysis, and thrombocytopenia. Increased odds for ischemic stroke is seen with a preextracorporeal membrane oxygenation serum lactate greater than 10 mmol/L. No studies report daily coagulation monitoring and neurologic assessments, and quality of evidence was low to very low. CONCLUSIONS: Neurologic complications are reported frequently and with high occurrence rate, especially with venoarterial extracorporeal membrane oxygenation, and associated with high mortality calling for daily weaning from sedation and neuromuscular blockers for neurologic assessment and coagulation monitoring. The low quality of evidence indicates the need for higher quality studies in this context.

Deceased organ donation activity and efficiency in Switzerland between 2008 and 2017: achievements and future challenges.

BACKGROUND: Various actions have been taken during the last decade to increase the number of organs from deceased donors available for transplantation in Switzerland. This study provides an overview on key figures of the Swiss deceased organ donation and transplant activity between 2008 and 2017. In addition, it puts the evolution of the Swiss donation program's efficiency in relation to the situation in the neighboring countries. METHODS: This study is an analysis of prospective registry data, covering the period from 1 January 2008 to 31 December 2017. It includes all actual deceased organ donors (ADD) in Switzerland. Donor data were extracted from the Swiss Organ Allocation System. The "donor conversion index" (DCI) methodology and data was used for the comparison of donation program efficiency in Switzerland, Germany, Austria, Italy and France. RESULTS: During the study period there were 1116 ADD in Switzerland. The number of ADD per year increased from 91 in 2008 to 145 in 2017 (+ 59%). The reintroduction of the donation after cardiocirculatory death (DCD) program in 2011 resulted in the growth of annual percentages of DCD donors, reaching a maximum of 27% in 2017. The total number of organs transplanted from ADD was 3763 (3.4 ± 1.5 transplants per donor on average). Of these, 48% were kidneys (n = 1814), 24% livers (n = 903), 12% lungs (n = 445), 9% hearts (n = 352) and 7% pancreata or pancreatic islets (n = 249). The donation program efficiency assessment showed an increase of the Swiss DCI from 1.6% in 2008 to 2.7% in 2017 (+ 69%). The most prominent efficiency growth was observed between 2012 and 2017. Even though Swiss donation efficiency increased during the study period, it remained below the DCI of the French and Austrian donation programs. CONCLUSION: Swiss donation activity and efficiency grew during the last decade. The increased donation efficiency suggests that measures implemented so far were effective. The lower efficiency of the Swiss donation program, compared to the French and Austrian programs, may likely be explained by the lower consent rate in Switzerland. This issue should be addressed in order to achieve the goal of more organs available for transplantation.

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.

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.

Procedures of brain death diagnosis and organ explantation in a tertiary medical centre - a retrospective eight-year cohort study.

AIM OF THE STUDY: To assess the frequency and variables associated with the need for ancillary tests to confirm suspected brain death in adult patients, and to assess the time from brain death to organ explantation in donors. We further sought to identify modifiable factors influencing the time between brain death and start of surgery. METHODS: Medical records and the Swiss organ allocation system registry were screened for all consecutive adult patients diagnosed with brain death at an intensive care unit of a Swiss tertiary medical centre from 2013 to 2020. The frequency and variables associated with the performance of ancillary tests (i.e., transcranial doppler, digital subtraction angiography, and computed tomography angiography) to confirm brain death were primary outcomes; the time from death to organ explantation as well as modifying factors were defined as secondary outcomes. RESULTS: Among 91 patients with a diagnosis of brain death, 15 were not explanted and did not undergo further ancillary tests. Of the remaining 76 patients, who became organ donors after brain death, ancillary tests were performed in 24%, most frequently in patients with hypoxic-ischaemic encephalopathy. The leading presumed causes of death (not mutually exclusive) were haemorrhagic strokes (49%), hypoxic-ischaemic encephalopathies (33%) and severe traumatic brain injuries (22%). Surgery for organ explantation was started within a median of 16 hours (interquartile range [IQR] 13-18) after death with delay increasing over time (nonparametric test for trend p = 0.05), mainly due to organ allocation procedures. Patients with brain death confirmed during night shifts were explanted earlier (during night shifts 14.3 hours, IQR 11.8-16.8 vs 16.3 hours, IQR 13.5-18.5 during day shifts; p = 0.05). CONCLUSIONS: Ancillary tests to confirm brain death are frequently performed, mainly in resuscitated patients. The delay to surgery for organ explantation after confirmed brain death was longer during day shifts, increased over time and was mainly determined by organ allocation procedures.

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.

External validation of the PROLOGUE score to predict neurological outcome in adult patients after cardiac arrest: a prospective cohort study.

BACKGROUND: The PROLOGUE score (PROgnostication using LOGistic regression model for Unselected adult cardiac arrest patients in the Early stages) is a novel prognostic model for the prediction of neurological outcome after cardiac arrest, which showed exceptional performance in the internal validation. The aim of this study is to validate the PROLOGUE score in an independent cohort of unselected adult cardiac arrest patients and to compare it to the thoroughly validated Out-of-Hospital Cardiac Arrest (OHCA) and Cardiac Arrest Hospital Prognosis (CAHP) scores. METHODS: This study included consecutive adult cardiac arrest patients admitted to the intensive care unit (ICU) of a Swiss tertiary teaching hospital between October 2012 and July 2022. The primary endpoint was poor neurological outcome at hospital discharge, defined as a Cerebral Performance Category (CPC) score of 3 to 5 including death. RESULTS: Of 687 patients included in the analysis, 321 (46.7%) survived to hospital discharge with good neurological outcome, 68 (9.9%) survived with poor neurological outcome and 298 (43.4%) died. The PROLOGUE score showed an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI 0.80 to 0.86) and good calibration for the prediction of the primary outcome. The OHCA and CAHP score showed similar performance (AUROC 0.83 and 0.84 respectively), the differences between the three scores were not significant (p = 0.495). In a subgroup analysis, the PROLOGUE score performed equally in out-of-hospital and in-hospital cardiac arrest patients whereas the OHCA and CAHP score performed significantly better in OHCA patients. CONCLUSION: The PROLOGUE score showed good prognostic accuracy for the early prediction of neurological outcome in adult cardiac arrest survivors in our cohort and might support early goals-of-care discussions in the ICU. Trial registration Not applicable.

"Do-not-resuscitate" preferences of the general Swiss population: Results from a national survey.

AIMS: To assess the do-not-resuscitate preferences of the general Swiss population and to identify predictors influencing decision-making. Methods: A nationwide web-based survey was conducted in Switzerland on a representative sample of the adult population. The primary endpoint was the preference for a "Do Not Resuscitate" order (DNR Code Status) vs. cardiopulmonary resuscitation (CPR Code Status) in a clinical case vignette of an out-of-hospital cardiac arrest. Secondary endpoint were participants' own personal preferences for DNR. Results: 1138 subjects participated in the web-based survey, 1044 were included in the final analysis. Preference for DNR code status was found in 40.5% (n = 423) in the case vignette and in 20.3% (n = 209) when making a personal decision for themselves. Independent predictors for DNR Code Status for the case vignette were: Personal preferences for their own DNR Code Status (adjusted OR 2.44, 95%CI 1.67 to 3.55; p < 0.001), intubation following respiratory failure (adjusted OR 1.95, 95%CI 1.20 to 3.18; p = 0.007), time-period after which resuscitation should not be attempted (adjusted OR 0.91, 95%CI 0.89 to 0.93); p < 0.001), and estimated chance of survival in case of a cardiac arrest (adjusted OR per decile 0.91, 95%CI 0.84 to 0.99, p = 0.02; which was overestimated by all participants. Conclusions: Main predictors for a DNR Code Status were personal preferences and the overestimation of good neurological outcome after cardiac arrest. Overestimation of positive outcomes after cardiac arrest seems to influence patient opinion and should thus be addressed during code status discussions.

Comparison of different clinical risk scores to predict long-term survival and neurological outcome in adults after cardiac arrest: results from a prospective cohort study.

BACKGROUND: Several scoring systems have been used to predict short-term outcome in patients with out-of-hospital cardiac arrest (OHCA), including the disease-specific OHCA and CAHP (Cardiac Arrest Hospital Prognosis) scores, as well as the general severity-of-illness scores Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II). This study aimed to assess the prognostic performance of these four scores to predict long-term outcomes (≥ 2 years) in adult cardiac arrest patients. METHODS: This is a prospective single-centre cohort study including consecutive cardiac arrest patients admitted to intensive care in a Swiss tertiary academic medical centre. The primary endpoint was 2-year mortality. Secondary endpoints were neurological outcome at 2 years post-arrest assessed by Cerebral Performance Category with CPC 1-2 defined as good and CPC 3-5 as poor neurological outcome, and 6-year mortality. RESULTS: In 415 patients admitted to intensive care, the 2-year mortality was 58.1%, with 96.7% of survivors showing good neurological outcome. The 6-year mortality was 82.5%. All four scores showed good discriminatory performance for 2-year mortality, with areas under the receiver operating characteristics curve (AUROC) of 0.82, 0.87, 0.83 and 0.81 for the OHCA, CAHP, APACHE II and SAPS II scores. The results were similar for poor neurological outcome at 2 years and 6-year mortality. CONCLUSION: This study suggests that two established cardiac arrest-specific scores and two severity-of-illness scores provide good prognostic value to predict long-term outcome after cardiac arrest and thus may help in early goals-of-care discussions.

Long-term Survival After Out-of-Hospital Cardiac Arrest: A Systematic Review and Meta-analysis.

Importance: Data on long-term survival beyond 12 months after out-of-hospital cardiac arrest (OHCA) of a presumed cardiac cause are scarce. Objective: To investigate the long-term survival of adult patients after surviving the initial hospital stay for an OHCA. Data Sources: A systematic search of the EMBASE and MEDLINE databases was performed from database inception to March 25, 2021. Study Selection: Clinical studies reporting long-term survival after OHCA were selected based on predefined inclusion and exclusion criteria according to a preregistered study protocol. Data Extraction and Synthesis: Patient data were reconstructed from Kaplan-Meier curves using an iterative algorithm and then pooled to generate survival curves. As a separate analysis, an aggregate data meta-analysis was performed. Main Outcomes and Measures: The primary outcome was long-term survival (>12 months) after OHCA for patients surviving to hospital discharge or 30 days after OHCA. Results: The search identified 15 347 reports, of which 21 studies (11 800 patients) were included in the Kaplan-Meier-based meta-analysis and 33 studies (16 933 patients) in an aggregate data meta-analysis. In the Kaplan-Meier-based analysis, the median survival time for patients surviving to hospital discharge was 5.0 years (IQR, 2.3-7.9 years). The estimated survival rates were 82.8% (95% CI, 81.9%-83.7%) at 3 years, 77.0% (95% CI, 75.9%-78.0%) at 5 years, 63.9% (95% CI, 62.3%-65.4%) at 10 years, and 57.5% (95% CI, 54.8%-60.1%) at 15 years. Compared with patients with a nonshockable initial rhythm, patients with a shockable rhythm had a lower risk of long-term mortality (hazard ratio, 0.30; 95% CI, 0.23-0.39; P < .001). Different analyses, including an aggregate data meta-analysis, confirmed these results. Conclusions and Relevance: In this comprehensive systematic review and meta-analysis, long-term survival after 10 years in patients surviving the initial hospital stay after OHCA was between 62% and 64%. Additional research is needed to understand and improve the long-term survival in this vulnerable patient population.

First-Response ABCDE Management of Status Epilepticus: A Prospective High-Fidelity Simulation Study.

Respiratory infections following status epilepticus (SE) are frequent, and associated with higher mortality, prolonged ICU stay, and higher rates of refractory SE. Lack of airway protection may contribute to respiratory infectious complications. This study investigates the order and frequency of physicians treating a simulated SE following a systematic Airways-Breathing-Circulation-Disability-Exposure (ABCDE) approach, identifies risk factors for non-adherence, and analyzes the compliance of an ABCDE guided approach to SE with current guidelines. We conducted a prospective single-blinded high-fidelity trial at a Swiss academic simulator training center. Physicians of different affiliations were confronted with a simulated SE. Physicians (n = 74) recognized SE and performed a median of four of the five ABCDE checks (interquartile range 3-4). Thereof, 5% performed a complete assessment. Airways were checked within the recommended timeframe in 46%, breathing in 66%, circulation in 92%, and disability in 96%. Head-to-toe (exposure) examination was performed in 15%. Airways were protected in a timely manner in 14%, oxygen supplied in 69%, and antiseizure drugs (ASDs) administered in 99%. Participants' neurologic affiliation was associated with performance of fewer checks (regression coefficient -0.49; p = 0.015). We conclude that adherence to the ABCDE approach in a simulated SE was infrequent, but, if followed, resulted in adherence to treatment steps and more frequent protection of airways.

Activation of the kynurenine pathway predicts mortality and neurological outcome in cardiac arrest patients: A validation study.

PURPOSE: Activation of the kynurenine pathway (KP) has been shown to predict outcome in cardiac arrest (CA) patients. We validated these findings in a Swiss cohort. METHODS: We measured admission tryptophan and kynurenine levels in 270 consecutive CA patients (38 in-hospital CA) and investigated associations with in-hospital mortality and neurological outcome at hospital discharge. RESULTS: 120 of 270 (44%) patients died in the hospital. Compared to survivors, non-survivors showed higher median initial kynurenine levels (5.28 µmol/l [IQR 2.91 to 7.40] vs 3.58 µmol/l [IQR 2.47 to 5.46]; p < 0.001) and a higher median kynurenine/tryptophan ratio (0.10 µmol/l [IQR 0.07 to 0.17] vs 0.07 µmol/l [IQR 0.05 to 0.1]; p < 0.001). In a model adjusted for age, gender and comorbidities, kynurenine (OR 1.16, 95% CI 1.05 to 1.27; p = 0.001) and kynurenine/tryptophan ratio (OR 1.19, 95% CI 1.08 to 1.31; p = 0.003) were significantly associated with mortality. Results were similar for neurological outcome. CONCLUSIONS: Our findings validate a previous study and show associations of the activation of the KP with unfavorable outcomes after CA. Future studies should evaluate whether therapeutic modulation of the KP may impact clinical outcomes after CA.