Editorial - Acute Medical Care: "Exit block".

NHS urgent and emergency care (UEC) remains under immense and unsustainable pressure. This is increasingly causing harm to patients and emotional trauma to the staff striving to deliver basic standards of care.

Society for Acute Medicine Benchmarking Audit 2021 (SAMBA21): assessing national performance of acute medicine services.

INTRODUCTION: The Society for Acute Medicine Benchmarking Audit 2021 (SAMBA21) took place on 17th June 2021, providing the first assessment of performance against the Society for Acute Medicine's Clinical Quality Indicators (CQIs) within acute medical units since the start of the COVID-19 pandemic. METHODS: All acute hospitals in the UK were invited to participate. Data were collected on unit structure, and for patients admitted to acute medicine services over a 24-hour period, with follow-up at 7 days. RESULTS: 158 units participated in SAMBA21, from 156 hospitals. 8973 patients were included. The number of admissions per unit had increased compared to SAMBA19 (Sign test p<0.005). An early warning score was recorded within 30 minutes of hospital arrival in 77.4% of patients. 87.4% of unplanned admissions were seen by a tier 1 clinician within 4 hours of arrival. Overall, the medical team performed the initial clinician assessment for 36.4% of unplanned medical admissions. More than a third of medical admissions had their initial assessment in Same Day Emergency Care (SDEC) in 25.4% of hospitals. 62.1% of unplanned admissions were seen by two other clinical decision makers prior to consultant review. Of those unplanned admissions requiring consultant review, 67.8% were seen within the target time. More than a third of unplanned admissions were discharged the same day in 41.8% of units. CONCLUSION: Performance against the CQIs for acute medicine was maintained in comparison to previous rounds of SAMBA, despite increased admissions. There remains considerable variation in unit structure and performance within acute medical services.

Length of stay in Acute Medical Admissions: Analysis from the Society for Acute Medicine Benchmarking Audit.

INTRODUCTION: Medical admissions to hospital represent a diverse range of patients, from those managed on ambulatory pathways through Same Day Emergency Care (SDEC) services, to those requiring prolonged inpatient admission. An understanding of current patterns of admission through acute medicine services and patient factors associated with longer hospital admission is needed to guide service planning and improvement. METHODS: Data from the Society for Acute Medicine Benchmarking Audit (SAMBA) 2021 were analysed. Patients admitted to acute medicine services during a 24-hour period on 17th June 2021 were included, with data recording patient demographics, frailty score, acuity and follow-up of outcomes after seven days. RESULTS: 8101 unplanned medical admissions were included, from 156 hospitals. 31.6% were discharged without overnight admission; the median hospital performance was 30.1% (IQR 19.3-39.3%). 22.1% of patients remained in hospital for more than 7 days. Those remaining in hospital for more than 48 hours and for more than seven days were more likely to be aged over 70, to be frail, or to have a NEWS2 of 3 or more on arrival to hospital. CONCLUSION: The proportion of acute medical attendances receiving overnight admission varies between hospitals. Length of stay is impacted by patient factors and illness acuity. Strategies to reduce inpatient service pressures must ensure effective care for older patients and those with frailty.

Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome.

BACKGROUND: Cancer patients are at increased risk of death from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Cancer and its treatment affect many haematological and biochemical parameters, therefore we analysed these prior to and during coronavirus disease 2019 (COVID-19) and correlated them with outcome. PATIENTS AND METHODS: Consecutive patients with cancer testing positive for SARS-CoV-2 in centres throughout the United Kingdom were identified and entered into a database following local governance approval. Clinical and longitudinal laboratory data were extracted from patient records. Data were analysed using Mann-Whitney U test, Fisher's exact test, Wilcoxon signed rank test, logistic regression, or linear regression for outcomes. Hierarchical clustering of heatmaps was performed using Ward's method. RESULTS: In total, 302 patients were included in three cohorts: Manchester (n = 67), Liverpool (n = 62), and UK (n = 173). In the entire cohort (N = 302), median age was 69 (range 19-93 years), including 163 males and 139 females; of these, 216 were diagnosed with a solid tumour and 86 with a haematological cancer. Preinfection lymphopaenia, neutropaenia and lactate dehydrogenase (LDH) were not associated with oxygen requirement (O2) or death. Lymphocyte count (P < 0.001), platelet count (P = 0.03), LDH (P < 0.0001) and albumin (P < 0.0001) significantly changed from preinfection to during infection. High rather than low neutrophils at day 0 (P = 0.007), higher maximal neutrophils during COVID-19 (P = 0.026) and higher neutrophil-to-lymphocyte ratio (NLR; P = 0.01) were associated with death. In multivariable analysis, age (P = 0.002), haematological cancer (P = 0.034), C-reactive protein (P = 0.004), NLR (P = 0.036) and albumin (P = 0.02) at day 0 were significant predictors of death. In the Manchester/Liverpool cohort 30 patients have restarted therapy following COVID-19, with no additional complications requiring readmission. CONCLUSION: Preinfection biochemical/haematological parameters were not associated with worse outcome in cancer patients. Restarting treatment following COVID-19 was not associated with additional complications. Neutropaenia due to cancer/treatment is not associated with COVID-19 mortality. Cancer therapy, particularly in patients with solid tumours, need not be delayed or omitted due to concerns that treatment itself increases COVID-19 severity.

Society for Acute Medicine Benchmarking Audit 2019 (SAMBA19): Trends in Acute Medical Care.

INTRODUCTION: The eighth Society for Acute Medicine Benchmarking Audit (SAMBA19) took place on Thursday 27th June 2019. SAMBA gives a broad picture of acute medical care in the UK and allows individual units to compare their performance against their peers. METHOD: All UK hospitals were invited to participate. Unit and patient level were collected. Data were analysed against published Clinical Quality indicators (CQI) and standards. This was the biggest SAMBA to date, with data from 7170 patients across 142 units in 140 hospitals. RESULTS: 84.5% of patients had an Early Warning Score measured within 30 minutes of arrival in hospital (SAMBA18 84.1%), 90.4% of patients were seen by a competent clinical decision maker within four hours of arrival in hospital (SAMBA18 91.4 %) and 68.6% of patients were seen by a consultant within the timeframe standard (SAMBA18 62.7%). Ambulatory Emergency Care is provided in 99.3% of hospitals. 61.8% of patients are initially seen in the Emergency Department (ED). Since SAMBA18 death rates and planned discharge rates, while the use of NEWS2 increased from 2.5% to 59.2% of hospitals. CONCLUSION: SAMBA19 highlighted the evolving complexity of acute medical pathways for patients. The challenge now is to increase sample frequency, assess the impact of SAMBA open a broader debate to define optimal CQIs.

Acute care service performance during winter: report from the winter SAMBA 2020 national audit of acute care.

The Winter Society for Acute Medicine Benchmarking Audit (SAMBA) provides the first comparison of performance within acute medicine against clinical quality indicators during winter, a time of increased pressure and demand on acute services. 105 hospitals participated in Winter SAMBA, collecting data over 24-hours on 30th January 2020. 5626 patients were included. Participating units saw a median of 48 patients (range 13-131). Comparison between Winter SAMBA and SAMBA19 found less patients had an early warning score within 30 minutes during winter (74.3% vs 78.9%) and less were seen by a clinical decision maker within four hours (84.9% vs 87.9%). Unplanned admissions represented a higher proportion of workload (92.5% vs 90.1%). Patients were more likely to have a NEWS2 score of 3 or higher (30.1% vs 25.7%). Performance is poorer in winter, and patients are more unwell, needing prompt treatment. Services should ensure high quality care can be maintained through times of increased pressure, including winter.

Testing the effects of checklists on team behaviour during emergencies on general wards: An observational study using high-fidelity simulation.

INTRODUCTION: Clinical teams struggle on general wards with acute management of deteriorating patients. We hypothesized that the Crisis Checklist App, a mobile application containing checklists tailored to crisis-management, can improve teamwork and acute care management. METHODS: A before-and-after study was undertaken in high-fidelity simulation centres in the Netherlands, Denmark and United Kingdom. Clinical teams completed three scenarios with a deteriorating patient without checklists followed by three scenarios using the Crisis Checklist App. Teamwork performance as the primary outcome was assessed by the Mayo High Performance Teamwork scale. The secondary outcomes were the time required to complete all predefined safety-critical steps, percentage of omitted safety-critical steps, effects on other non-technical skills, and users' self-assessments. Linear mixed models and a non-parametric survival test were conducted to assess these outcomes. RESULTS: 32 teams completed 188 scenarios. The Mayo High Performance Teamwork scale mean scores improved to 23.4 out of 32 (95% CI: 22.4-24.3) with the Crisis Checklist App compared to 21.4 (20.4-22.3) with local standard of care. The mean difference was 1.97 (1.34-2.6; p < 0.001). Teams that used the checklists were able to complete all safety-critical steps of a scenario in more simulations (40/95 vs 21/93 scenarios) and these steps were completed faster (stratified log-rank test χ2 = 8.0; p = 0.005). The self-assessments of the observers and users showed favourable effects after checklist usage for other non-technical skills including situational awareness, decision making, task management and communication. CONCLUSIONS: Implementation of a novel mobile crisis checklist application among clinical teams was associated in a simulated general ward setting with improved teamwork performance, and a higher and faster completion rate of predetermined safety-critical steps.

Supportive Care: An Indispensable Component of Modern Oncology.

The advent of new cancer therapies, alongside expected growth and ageing of the population, better survival rates and associated costs of care, is uncovering a need to more clearly define and integrate supportive care services across the whole spectrum of the disease. The current focus of cancer care is on initial diagnosis and treatment, and end of life care. The Multinational Association of Supportive Care in Cancer defines supportive care as 'the prevention and management of the adverse effects of cancer and its treatment'. This encompasses the entire cancer journey, and necessitates involvement and integration of most clinical specialties. Optimal supportive care can assist in accurate diagnosis and management, and ultimately improve outcomes. A national strategy to implement supportive care is needed to acknowledge evolving oncology practice, changing disease patterns and the changing patient demographic.

Septic patients with cancer: Do prehospital antibiotics improve survival? A sub-analysis of the PHANTASi trial.

BACKGROUND: Sepsis in patients with cancer is increasingly common and associated with high mortality. To date, no studies have examined the effectiveness of prehospital antibiotics in septic patients with cancer. This study aimed without and to evaluate the effect of prehospital antibiotics in septic patients with cancer. METHODS: We conducted a post-hoc sub-analysis of the PHANTASi (PreHospital ANTibioitcs Against Sepsis) trial database: a randomised controlled trial which enrolled patients with suspected sepsis who were transported to the emergency department by ambulance. Patients in the intervention group were administered prehospital intravenous antibiotics while those in the control group received usual care. We compared patients who had cancer to those who did not. Primary outcome was 28-day mortality; among the secondary outcomes, we included in-hospital mortality and 90-day mortality. RESULTS: 357(13.4%) of the 2658 included patients had cancer in the past five years, of which, 209 (58.5%) were included in the intervention and 148 (41.5%) usual care groups; 28-day mortality was significantly higher in patients who were diagnosed with cancer in the past five years than those without cancer in the past five years: 15.2% vs. 7.1%, respectively (p < 0.001). Prehospital antibiotics in the group of patients with cancer in the last five years yielded no significant effect on survival. There were however, significantly fewer 30-day readmissions (p = 0.031) in the intervention group of cancer patients (12.2% vs 5.7%). CONCLUSION: Prehospital antibiotics did not improve overall survival. However, there was a significant reduction in 30-day readmissions.

Normal gait, albumin and d-dimer levels identify low risk emergency department patients: a prospective observational cohort study with 365-day 100% follow-up.

BACKGROUND: If survival could be reliably predicted many patients could be safely managed outside of hospital in an ambulatory care setting. AIM: Comparison of common laboratory findings, co-morbidities, mobility and vital signs as predictors of mortality of acutely ill emergency department (ED) attendees. DESIGN: Prospective observational study. METHODS: Secondary analysis of 1334 consenting acutely ill patients attending a Danish ED. RESULTS: 67 (5%) out of 1334 patients died within 100 days. After logistic regression seven predictors of 100 days mortality remained significant: an albumin level ≤34 gm/l, D-dimer level >0.51 mg/l, an Asadollahi score (based on admission laboratory data and age) ≥12, a platelet count <159 X 1000/ml, impaired mobility on presentation, a respiratory rate ≥30 bpm and a Charlson co-morbidity index ≥3. Only 5 of the 442 without any of these variables died within 365 days. Only one of the 517 patients with a stable independent gait and normal d-dimer and albumin levels died within 100 days, none died within 30 days of assessment and 12 died within 365 days. Of the remaining 817 patients 66 (8%) died within 100 days. CONCLUSION: These findings suggest that normal gait, albumin and d-dimer levels are the most parsimonious way of identifying low risk ED patients.

A negative D-dimer identifies patients at low risk of death within 30 days: a prospective observational emergency department cohort study.

OBJECTIVE: To determine the ability of a normal D-dimer level (<0.5 mg/l) to identify emergency department (ED) patients at low risk of 30-day all-cause mortality. DESIGN: In this prospective observational study, D-dimer levels of adult medical patients were assessed at arrival to the ED. Data on 30-day survival status were extracted from the Danish Civil Registration System with complete follow-up. SETTING: The Hospital of South West Jutland. PATIENTS: All patients aged 18 years or older who required any blood sample on a clinical indication on arrival to the ED. Participants were required to give written informed consent before enrollment. MAIN RESULTS: The study population of 1 518 patients with median age 66 years of which 49.4% were female. Of the 791 (52.1%) patients with normal D-dimer levels, 3 (0.4%) died within 30 days; one death resulted from an unrelated traumatic accident. Of the 727 (47.9%) patients with abnormal D-dimer levels (≥0.50 mg/l), 32 (4.4%) died within 30 days. Patients with normal D-dimer levels had a significantly lower 30-day mortality compared to patients with abnormal D-dimer levels (odds ratio 0.08, 95% CI 0.02-0.28): of the 35 patients who died within 30 days, 19 (54.3%) had normal or near normal vital signs when first assessed. CONCLUSION: Normal D-dimer levels identified patients at low risk of 30-day mortality. Since most patients who died within 30 days presented with normal or near normal vital signs, D-dimer levels appear to provide additional prognostic information.

SAMBA18 Report - A National Audit of Acute Medical Care in the UK.

SAMBA18 took place on Thursday 28th June 2018 with follow up data at 7 days. Acute medical teams from 127 Acute Medical Units (AMUs) across the UK collected data relating to operational performance, clinical quality indicators and standards from NHS Improvement. Data was collected from 6114 patients.

Differences in identification of patients' deterioration may hamper the success of clinical escalation protocols.

BACKGROUND: Timely and consistent recognition of a 'clinical crisis', a life threatening condition that demands immediate intervention, is essential to reduce 'failure to rescue' rates in general wards. AIM: To determine how different clinical caregivers define a 'clinical crisis' and how they respond to it. DESIGN: An international survey. METHODS: Clinicians working on general wards, intensive care units or emergency departments in the Netherlands, the United Kingdom and Denmark were asked to review ten scenarios based on common real-life cases. Then they were asked to grade the urgency and severity of the scenario, their degree of concern, their estimate for the risk for death and indicate their preferred action for escalation. The primary outcome was the scenarios with a National Early Warning Score (NEWS) ≥7 considered to be a 'clinical crisis'. Secondary outcomes included how often a rapid response system (RRS) was activated, and if this was influenced by the participant's professional role or experience. The data from all participants in all three countries was pooled for analysis. RESULTS: A total of 150 clinicians participated in the survey. The highest percentage of clinicians that considered one of the three scenarios with a NEWS ≥7 as a 'clinical crisis' was 52%, while a RRS was activated by <50% of participants. Professional roles and job experience only had a minor influence on the recognition of a 'clinical crisis' and how it should be responded to. CONCLUSION: This international survey indicates that clinicians differ on what they consider to be a 'clinical crisis' and on how it should be managed. Even in cases with a markedly abnormal physiology (i.e. NEWS ≥7) many clinicians do not consider immediate activation of a RRS is required.

SOCIETY FOR ENDOCRINOLOGY ENDOCRINE EMERGENCY GUIDANCE: Acute management of the endocrine complications of checkpoint inhibitor therapy.

Immunotherapy treatment with checkpoint inhibitors (CPI) (CTLA-4 and PD-1 inhibitors) significantly improves survival in a number of cancers. Treatment can be limited by immune-mediated adverse effects including endocrinopathies such as hypophysitis, adrenalitis, thyroiditis and diabetes mellitus. If endocrinopathies (particularly hypocortisolemia) are not recognized early, they can be fatal. The diagnosis and management of endocrinopathies can be complicated by simultaneous multi-organ immune adverse effects. Here, we present Endocrine Emergency Guidance for the acute management of the endocrine complications of checkpoint inhibitor therapy, the first specialty-specific guidance with Endocrinology, Oncology and Acute Medicine input and endorsed by the Society for Endocrinology Clinical Committee. We present algorithms for management: endocrine assessment and management of patients in the first 24 hours who present life-threateningly unwell (CTCAE grade 3-4) and the appropriate management of mild-moderately unwell patients (CTCAE grade 1-2) presenting with features compatible with an endocrinopathy. Other important considerations in relation to hypohysitis and the maintenance of glucocorticoid therapy are discussed.

Short- and long-term outcomes of patients with solid tumours following non-surgical intensive care admission.

BACKGROUND: There has been a significant increase in the number of patients presenting with cancer related emergencies and potentially requiring critical care admission. AIM: To analyse the short and long-term outcomes of patients with solid tumours requiring unplanned medical admission to a specialist cancer intensive care unit (ICU). DESIGN: An unplanned cohort study. METHODS: A retrospective analysis of patients admitted to a UK specialist tertiary oncology CCU between September 2009 and September 2015. The primary outcome measures were survival to CCU discharge and 1-year survival. RESULTS: 687 patients had an unplanned medical admission. The most frequent primary tumours were lymphoma (22.1%), lung (15.2%) and colorectal (13.0%), and 181 (44.4%) were known to have metastases. The median Acute Physiology and Chronic Health Evaluation (APACHE) II and Intensive Care National Audit and Research Centre (ICNARC) scores were 21 and 17, respectively. ICU mortality was 26.7%, with total hospital mortality of 41.9%. The median survival of the total cohort was 56 days after ICU admission, with 107 patients surviving 365 days. Patients with metastatic disease were almost twice as likely to die within the year following ICU admission compared with their counterparts without metastases. Only pancreatic and lung primaries were shown to have a statistically significant impact on survival at 1 year. Pneumonia carried with it the worst prognosis (cumulative survival 0.11), followed by sepsis (0.25) and non-infective respiratory disease (0.26). CONCLUSIONS: The stage and type of cancer appear to have minimal impact on short-term ICU outcomes and only confer poorer long-term prognosis related to the disease.