Characterizing Cardiac Function in ICU Survivors of Sepsis: A Pilot Study Protocol.

Background: Sepsis is one of the most common reasons for ICU admission and a leading cause of mortality worldwide. More than one-half of survivors experience significant physical, psychological, or cognitive impairments, often termed post-intensive care syndrome (PICS). Sepsis is recognized increasingly as being associated with a risk of adverse cardiovascular events that is comparable with other major cardiovascular risk factors. It is plausible that sepsis survivors may be at risk of unidentified cardiovascular disease, and this may play a role in functional impairments seen after ICU discharge. Research Question: What is the prevalence of myocardial dysfunction after an ICU admission with sepsis and to what extent might it be associated with physical impairments in PICS? Study Design and Methods: Characterisation of Cardiovascular Function in ICU Survivors of Sepsis (CONDUCT-ICU) is a prospective, multicenter, pilot study characterizing cardiovascular function and functional impairments in survivors of sepsis taking place in the west of Scotland. Survivors of sepsis will be recruited at ICU discharge and followed up 6 to 10 weeks after hospital discharge. Biomarkers of myocardial injury or dysfunction (high sensitivity troponin and N-terminal pro B-type natriuretic peptide) and systemic inflammation (C-reactive protein, IL-1ß, IL-6, IL-10, and tumor necrosis factor alpha) will be measured in 69 patients at recruitment and at follow-up. In addition, a cardiovascular magnetic resonance substudy will be performed at follow-up in 35 patients. We will explore associations between cardiovascular magenetic resonance indexes of cardiac function, biomarkers of cardiac dysfunction and inflammation, and patient-reported outcome measures. Interpretation: CONDUCT-ICU will provide data regarding the cause and prevalence of cardiac dysfunction in survivors of sepsis and will explore associations with functional impairment. It will provide feasibility data and operational learning for larger studies investigating mechanisms of functional impairment after ICU admission and the association between sepsis and adverse cardiovascular events. Trial Registry: ClinicalTrials.gov; No.: NCT05633290; URL: www.clinicaltrials.gov.

Could an integrated model of health and social care after critical illness reduce socioeconomic disparities in outcomes? A Bayesian analysis.

Background: There is limited evidence to understand what impact, if any, recovery services might have for patients across the socioeconomic spectrum after critical illness. We analysed data from a multicentre critical care recovery programme to understand the impact of this programme across the socioeconomic spectrum. Methods: The setting for this pre-planned secondary analysis was a critical care rehabilitation programme-Intensive Care Syndrome: Promoting Independence and Return to Employment. Data were collected from five hospital sites running this programme. We utilised a Bayesian approach to analysis and explore any possible effect of the InS:PIRE intervention on Health-Related Quality of Life (HRQoL) across the socioeconomic gradient. A Bayesian quantile, non-linear mixed effects regression model, using a compound symmetry covariance structure, accounting for multiple timepoints was utilised. The Scottish Index of Multiple Deprivation (SIMD) was used to measure socioeconomic status and HRQoL was measured using the EQ-5D-5L. Results: In the initial baseline cohort of 182 patients, 55% of patients were male, the median age was 58 yr (inter-quartile range: 50-66 yr) and 129 (79%) patients had two or more comorbidities at ICU admission. Using the neutral prior, there was an overall probability of intervention benefit of 100% (ß=0.71, 95% credible interval: 0.34-1.09) over 12 months to those in the SIMD≤3 cohort, and an 98.6% (ß=-1.38, 95% credible interval: -2.62 to -0.16) probability of greater benefit (i.e. a steeper increase in improvement) at 12 months in the SIMD≤3 vs SIMD≥4 cohort in the EQ-visual analogue scale. Conclusions: Using multicentre data, this re-analysis suggests, but does not prove, that an integrated health and social care intervention is likely to improve outcomes across the socioeconomic gradient after critical illness, with a potentially greater benefit for those from deprived communities. Future research designed to prospectively analyse how critical care recovery programmes could potentially improve outcomes across the socioeconomic gradient is warranted.

Long term opioid use after burn injury: a retrospective cohort study.

BACKGROUND: Patients who have survive a burn injury might be at risk of opioid dependence after discharge. This study examined the use of opioids in patients who suffer burn injury and explored factors associated with persistent opioid use after hospital discharge. METHODS: This retrospective cohort study compared adults admitted with a burn injury from 2009 to 2019 with two matched comparison cohorts from the general population and adults with a diagnosis of acute pancreatitis. Pre-admission prescription opioid use was determined, and a multivariable negative binomial regression analysis used to explore post-discharge opioid use. RESULTS: A total of 7147 burn patients were matched with 6810 pancreatitis patients and with 28 184 individuals from the general population. Pre-admission opioid use was higher in the burn and pancreatitis cohorts (29% and 40%, respectively) compared with the general population (17%). Opioid use increased in both burn and pancreatitis cohorts after discharge (41% and 53%, respectively), although patients with pancreatitis were at even higher risk of increased opioid use in an adjusted analysis (incidence rate ratio 1.43). Female sex, lower socioeconomic status, ICU admission, pre-injury opioid use, and a history of excess alcohol use were all associated with an increase in opioid prescriptions after discharge. CONCLUSIONS: Opioid use is high in those admitted with a burn injury or acute pancreatitis when compared with the general population, increasing further after hospital discharge. Female sex and socioeconomic deprivation are among factors that make increased opioid use more likely, although this phenomenon seems even more pronounced in those with acute pancreatitis compared with burn injuries.

Regional anaesthesia training in the UK - a national survey.

Background: Adequate training of anaesthetists in regional anaesthesia is important to ensure optimal patient access to regional anaesthesia. Methods: We undertook a national survey of UK trainee anaesthetists and Royal College of Anaesthetists (RCoA) tutors to assess experiences of training in regional anaesthesia. We performed descriptive statistics for baseline characteristics, and logistic regression of training indices and tutor confidence that their hospital could provide regional anaesthesia training at all three stages of the RCoA 2021 curriculum. Results: A total of 492 trainees (19.2%) and 114 tutors (45.2%) completed the survey. Trainees were less likely to have received training in chest/abdominal wall compared with upper/lower limb blocks {erector spinae vs femoral block (odds ratio [OR] 0.25, 95% confidence interval [CI] 0.16-0.39), P<0.001}, or achieved >20 chest/abdominal wall blocks by Stage 3 of training (chest vs lower limb block [OR 0.09, 95% CI 0.05-0.15, P<0.001]. There was a strong association between training received, number of blocks performed (>20 vs 0-5 blocks), and self-reported ability to perform blocks independently, OR 20.9 (95% CI 9.38-53.2). 24/182 (13%) and 10/182 (5.5%) of trainees had performed ≥50 non-obstetric lumbar and thoracic epidurals, respectively, by Stage 3 training. There was a positive association between having a lead clinician for regional anaesthesia, particularly those with paid sessions, and reported confidence to provide regional anaesthesia training at all stages of the curriculum (Stage 3 OR 7.27 [95% CI 2.64-22.0]). Conclusion: Our results confirm the importance of clinical experience and access to training in regional anaesthesia, and support the introduction of departmental regional anaesthesia leads to improve equity and quality in training opportunities.

Factors Associated With New Analgesic Requirements Following Critical Illness.

BACKGROUND: Chronic opioid use represents a significant burden to global healthcare with adverse long-term outcomes. Elevated patient reported pain levels and analgesic prescriptions have been reported following discharge from critical care. We describe analgesic requirements following discharge from hospital and identify if a critical care admission is a significant factor for stronger analgesic prescriptions. METHODS: This retrospective observational cohort study identified patients in the UK Biobank with a registered admission to any UK hospital between January 1, 2010 and December 31, 2015 and information on prescriptions drawn both prior to and following hospital discharge. Two matched cohorts were created from the dataset: critical care patients and hospital patients admitted without a critical care encounter. Outcomes were analgesic requirements following hospital discharge and factors associated with increased analgesic prescriptions. Multivariable logistic regression was used to identify factors associated with prescriptions from higher steps on the World Health Organization (WHO) analgesic ladder. RESULTS: In total, 660 formed the total study population. Strong opioid prescriptions following discharge were significantly higher in the critical care cohort (P value <.001). Critical care admission (OR = 1.45) and increasing Townsend deprivation (OR = 1.04) index were significantly associated with increasing strength of analgesic prescriptions following discharge. CONCLUSIONS: Critical care patients require stronger analgesic prescriptions in the 12 months following hospital discharge. Patients from areas of high socioeconomic deprivation may also be associated with increased analgesic requirements. Multidisciplinary support is required for patients who may be at risk of chronic opioid use and could be delivered within critical care recovery programs.

Impact of acute kidney injury on major adverse cardiovascular events in intensive care survivors.

Background: Acute kidney injury commonly occurs in patients admitted to ICU. After acute kidney injury, kidney function may not completely recover leading to increased risk of future cardiovascular events. We sought to ascertain the rates of cardiovascular events in ICU survivors and if these rates were affected by the presence of acute kidney injury whilst in ICU. Methods: This retrospective observational cohort study utilised routinely collected data to identify patients who had survived an admission to one of two ICUs between July 2015 and June 2018. Baseline serum creatinine and subsequent values were used to identify acute kidney injury. Major adverse cardiovascular events described were myocardial injury, coronary artery intervention, or radiological evidence of stroke. Results: Of the 3994 ICU survivors, major adverse cardiovascular events were identified in 385 patients (9.6%; 95% confidence interval [CI] 8.8-10.6%). Presence of acute kidney injury whilst in ICU was significantly associated with future major adverse cardiovascular events (hazard ratio=1.38; 95% CI 1.12-1.70; P-value=0.003) and future biochemical myocardial injury (hazard ratio=1.48; 95% CI 1.16-1.89; P-value=0.001). Acute kidney injury did not have a statistically significant association with future coronary artery interventions or future cerebrovascular events. Conclusions: One in 10 ICU survivors experiences a major adverse cardiovascular event after discharge. Acute kidney injury whilst in ICU was associated with an increased risk of major adverse cardiovascular events and specifically myocardial injury. Further research is warranted on whether ICU survivors with acute kidney injury merit enhanced strategies for cardiovascular protection.

ISCEV standard pattern reversal VEP development: paediatric reference limits from 649 healthy subjects.

PURPOSE: To establish the extent of agreement for ISCEV standard reference pattern reversal VEPs (prVEPs) acquired at three European centres, to determine any effect of sex, and to establish reference intervals from birth to adolescence. METHODS: PrVEPs were recorded from healthy reference infants and children, aged 2 weeks to 16 years, from three centres using closely matched but non-identical protocols. Amplitudes and peak times were modelled with orthogonal quadratic and sigmoidal curves, respectively, and two-sided limits, 2.5th and 97.5th centiles, estimated using nonlinear quantile Bayesian regression. Data were compared by centre and by sex using median quantile confidence intervals. The 'critical age', i.e. age at which P100 peak time ceased to shorten, was calculated. RESULTS: Data from the three centres were adequately comparable. Sex differences were not clinically meaningful. The pooled data showed rapid drops in P100 peak time which stabilised by 27 and by 34 weeks for large and small check widths, respectively. Post-critical-age reference limits were 87-115 ms and 96-131 ms for large and small check widths, respectively. Amplitudes varied markedly and reference limits for all ages were 5-57 µV and 3.5-56 µV for large and small check widths, respectively. CONCLUSIONS: PrVEP reference data could be combined despite some methodology differences within the tolerances of the ISCEV VEP Standard, supporting the clinical benefit of ISCEV Standards. Comparison with historical data is hampered by lack of minimum reporting guidelines. The reference data presented here could be validated or transformed for use elsewhere.

The relationship between pain, anxiety and depression in patients with post-intensive care syndrome.

PURPOSE: Survivors of critical illness frequently experience long-term symptoms including physical symptoms such as pain and emotional symptoms such as anxiety and depression. These symptoms frequently co-exist, however, at present there is limited understanding of these relationships. The aim of this study was to quantify the relationship between pain, anxiety and depression across the recovery trajectory. METHODS: This study is a secondary analysis of data from a multi-centre, prospective, cohort study which followed-up patients recovering from critical illness. Data was available at multiple time points and for 3 distinct cohorts. Structural equation modelling was used to investigate the relationship between outcome measures of pain, anxiety and depression. RESULTS: Data from 414 patients was analysed. Pain was significantly associated with both anxiety and depression in all cohorts and at all time points sampled. Path coefficients for the covariances between pain and depression ranged between 0.39 and 0.72 (p < 0.01). Path coefficients for the covariances between pain and anxiety ranged between 0.39 and 0.65 (p < 0.01). CONCLUSIONS: Pain, anxiety and depression are highly correlated in survivors of critical illness. Pharmacological treatments for pain management may be ineffective alone and further research is required to assess interventions targeting these symptoms in combination.

Medication-related problems in critical care survivors: a systematic review.

OBJECTIVES: There are numerous, often single centre discussions of assorted medication-related problems after hospital discharge in patients who survive critical illness. However, there has been little synthesis of the incidence of medication-related problems, the classes of medications most often studied, the factors that are associated with greater patient risk of such problems or interventions that can prevent them. METHODS: We undertook a systematic review to understand medication management and medication problems in critical care survivors in the hospital discharge period. We searched OVID Medline, Embase, PsychINFO, CINAHL and the Cochrane database (2001-2022). Two reviewers independently screened publications to identify studies that examined medication management at hospital discharge or thereafter in critical care survivors. We included randomised and non-randomised studies. We extracted data independently and in duplicate. Data extracted included medication type, medication-related problems and frequency of medication issues, alongside demographics such as study setting. Cohort study quality was assessed using the Newcastle Ottowa Score checklist. Data were analysed across medication categories. RESULTS: The database search initially retrieved 1180 studies; following the removal of duplicates and studies which did not fit the inclusion criteria, 47 papers were included. The quality of studies included varied. The outcomes measured and the timepoints at which data were captured also varied, which impacted the quality of data synthesis. Across the studies included, we found that as many as 80% of critically ill patients experienced medication-related problems in the posthospital discharge period. These issues included inappropriate continuation of newly prescribed drugs such as antipsychotics, gastrointestinal prophylaxis and analgesic medications, as well as inappropriate discontinuation of chronic disease medications, such as secondary prevention cardiac drugs. CONCLUSIONS: Following critical illness, a high proportion of patients experience problems with their medications. These changes were present across multiple health systems. Further research is required to understand optimal medicine management across the full recovery trajectory of critical illness. PROSPERO REGISTRATION NUMBER: CRD42021255975.

Evaluating pain in survivors of critical illness: the correlation between the EQ-5D-5L and the Brief Pain Inventory.

INTRODUCTION: Pain is a common and debilitating symptom in survivors of critical illness. The 'Core Outcome Set for Survivors of Acute Respiratory Failure' proposes that the pain and discomfort question of the EuroQol 5 Dimension 5 Level (EQ-5D-5L) could be used to assess pain in this group, however, it was recognised that further research is required to evaluate how this single question compares to other more detailed pain tools. This study aims to evaluate the relationship between the pain and discomfort question of the EQ-5D-5L and the Brief Pain Inventory (BPI) in survivors of critical illness. METHODS: This study retrospectively analysed paired EQ-5D-5L and BPI data extracted from a prospective, multicentre study evaluating the impact of a critical care recovery programme. 172 patients who received a complex recovery intervention and 108 patients who did not receive this intervention were included. Data were available for the intervention cohort at multiple time points, namely, baseline, 3 months and 12 months. While, data were available for the usual care cohort at a single time point (12 months). We assessed the correlation between the pain and discomfort question of the EQ-5D-5L and two separate components of the BPI: severity of pain and pain interference. RESULTS: Correlation coefficients comparing the pain and discomfort question of the EQ-5D-5L and the BPI pain severity score ranged between 0.73 (95% CI 0.63 to 0.80) and 0.80 (95% CI 0.72 to 0.86). Correlation coefficients comparing the pain and discomfort question of the EQ-5D-5L and the BPI pain interference score ranged between 0.71 (95% CI 0.62 to 0.79) and 0.83 (95% CI 0.76 to 0.88) across the various time points. CONCLUSIONS: The pain and discomfort question of the EQ-5D-5L correlates moderately well with a more detailed pain tool and may help to streamline assessments in survivorship studies. More in-depth tools may be of use where pain is the primary study outcome or a patient-reported concern.

Implementing an innovative, patient-centered approach to day case arthroplasty: improving patient outcomes through remote preoperative pharmacist consultations.

OBJECTIVE: Elective surgery suffered significant loss of capacity during the COVID-19 pandemic. To address this, hip and knee arthroplasties are being conducted as day case procedures. Pre-admission pharmacist consultations were introduced (the intervention) for these patients. This consultation aimed to address perioperative medicines issues, promote patient empowerment, improve prescribing quality and contribute to reduction in length of stay (LoS). METHODS: All patients listed for a total/unicompartmental knee replacement (TKR/UKR) or total hip replacement (THR) at an ambulatory care hospital were identified by a pharmacist prescriber 1-2 weeks before the operation. Pharmacist consultations were conducted remotely with discharge prescriptions written electronically and dispensed before admission. Prescribing data were collected for both pre-intervention (n=80) and post-intervention (n=129) groups along with all interventions undertaken during consultations. Staff opinion was sought via online questionnaire and patient opinion was gathered via post-discharge telephone calls. RESULTS: A total of 115 interventions took place during 129 patient consultations and >75% of interventions were of a significance expected to improve patient care. Prescribing standards were improved in the intervention group compared with patients whose arthroplasty was before the introduction of this service. The pharmacy service would have produced a different prescription in 38.8% of the pre-intervention group. Staff and patient feedback was extremely positive and all patients with previous surgical experience in the health board reported an improved experience. There was a statistically significant reduction in post-discharge healthcare encounters (such as general practitioner (GP) visits) in the intervention group. CONCLUSION: This novel remote preoperative pharmacist consultation improved prescribing standards, enhanced the patient's surgical experience and reduced the burden on post-discharge healthcare systems.

Documenting chaplain involvement: a pilot project exploring Pastoral Care and the integration of data science in a Central Florida Hospital.

This paper intends to outline a data integration response to the demands placed on the pastoral care department through the COVID-19 pandemic. Uniquely, these demands accelerated the need to implement documentation of care directed towards staff to complement the data derived from patient visitation. The motivation for this initiative is in part, to provide a complete picture of the care provided by hospital chaplains using an evidence-based approach through the implementation of data science.

Evaluation of a health and social care programme to improve outcomes following critical illness: a multicentre study.

RATIONALE: At present, clinicians aiming to support patients through the challenges after critical care have limited evidence to base interventions. OBJECTIVES: Evaluate a multicentre integrated health and social care intervention for critical care survivors. A process evaluation assessed factors influencing the programme implementation. METHODS: This study evaluated the impact of the Intensive Care Syndrome: Promoting Independence and Return to Employment (InS:PIRE) programme. We compared patients who attended this programme with a usual care cohort from the same time period across nine hospital sites in Scotland. The primary outcome was health-related quality of life (HRQoL) measured via the EuroQol 5-dimension 5-level instrument, at 12 months post hospital discharge. Secondary outcome measures included self-efficacy, depression, anxiety and pain. RESULTS: 137 patients who received the InS:PIRE intervention completed outcome measures at 12 months. In the usual care cohort, 115 patients completed the measures. The two cohorts had similar baseline demographics. After adjustment, there was a significant absolute increase in HRQoL in the intervention cohort in relation to the usual care cohort (0.12, 95% CI 0.04 to 0.20, p=0.01). Patients in the InS:PIRE cohort also reported self-efficacy scores that were 7.7% higher (2.32 points higher, 95% CI 0.32 to 4.31, p=0.02), fewer symptoms of depression (OR 0.38, 95% CI 0.19 to 0.76, p=0.01) and similar symptoms of anxiety (OR 0.58, 95% CI 0.30 to 1.13, p=0.11). There was no significant difference in overall pain experience. Key facilitators for implementation were: integration with inpatient care, organisational engagement, flexibility to service inclusion; key barriers were: funding, staff availability and venue availability. CONCLUSIONS: This multicentre evaluation of a health and social care programme designed for survivors of critical illness appears to show benefit at 12 months following hospital discharge.

Implementing Spiritual Care in the Pediatric Complex Care Clinic.

A project integrated a Clinical Pastoral Education Fellow into a clinic designed to treat children with medical complexity (CMC). The integration of a chaplain into the care team fulfilled the goal of increasing accessibility to spiritual care through a quality improvement project and seemed to positively affect patients and the interdisciplinary team itself. These efforts demonstrate the need for research to better understand the relationship between spiritual screenings, interventions, and outcomes for CMC patients.

Clinical Validation of the Covariates Pharmacokinetic Model for Propofol in an Adult Population.

BACKGROUND AND OBJECTIVE: Pharmacokinetic or pharmacokinetic-pharmacodynamic models have been instrumental in facilitating the clinical use of propofol in target-controlled infusion systems in anaesthetic practice. There has been debate over which model should be recommended for practice. The covariates model is an updated pharmacokinetic model for propofol. The aim of this study was to prospectively validate this model in an adult population. METHODS: Twenty-nine patients were included, with a range of ages to assess model performance in younger and older individuals. Subjects received propofol through a target-controlled infusion device programmed with the covariates model. Subjects were randomised to one of two increasing/decreasing regimes of propofol plasma target concentrations between 2 and 5 µg.mL-1. After the start of the infusion, arterial and venous blood samples were drawn at pre-specified timepoints between 1.5 and 20 min and between 1.5 and 45 min, respectively. Predictive performance was assessed using established methodology. RESULTS: The model achieved a bias of 9 (- 45 to 82) and precision of 24 (9-82) for arterial samples and bias of - 8 (- 64 to 70) and precision of 23 (9-70) for venous samples. Predicted concentrations tended to be higher than the measured concentrations in female individuals but lower in male individuals. There was no clear systematic difference in the bias between younger and older patients. CONCLUSIONS: The covariates propofol pharmacokinetic model achieved an acceptable level of predictive performance, as assessed by both arterial and venous sampling, for use in target-controlled infusion in clinical practice. CLINICAL TRIAL REGISTRATION: NCT01492712 (15 December, 2011).

Pharmacokinetic models can estimate the changes in the concentration of a drug in the body over time. These have been instrumental in facilitating the clinical use of anaesthetic agents such as propofol in target-controlled infusions, which aim to achieve a set concentration in either plasma or the brain to achieve anaesthesia. The covariates model is a previously described pharmacokinetic model for propofol. The aim of the described study was to validate the performance of the model in an independent adult population. Participants received anaesthesia with propofol through a target-controlled infusion device programmed with the covariates model. The concentration of propofol in the blood was measured at various timepoints and compared to the target concentration specified by the target-controlled infusion device. The analysis showed that overall, the covariates model performed to a level acceptable for use in clinical practice and compared favourably to other pharmacokinetic models.

Buprenorphine Compared with Methadone in Pregnancy: A Systematic Review and Meta-Analysis.

INTRODUCTION: Illicit opioid use in pregnancy is associated with adverse maternal, neonatal, and childhood outcomes. Opioid substitution is recommended, but whether methadone or buprenorphine is the optimal agent remains unclear. METHODS: We searched EMBASE, PubMed, Web of Science, Scopus, Open Gray, CINAHL and the Cochrane Central Registry of Controlled Trials (CENTRAL) from inception to April 2020 for randomized controlled trials (RCTs) and cohort studies comparing methadone and buprenorphine treatment for opioid-using mothers. Included studies assessed maternal and or neonatal outcomes. We used random-effects meta-analyses to estimate summary measures for outcomes and report these separately for RCTs and cohort studies. RESULTS: Of 408 abstracts screened, 20 papers were included (4 RCTs, 16 cohort, 223 and 7028 participants respectively). All RCTs (4/4) had a high risk of bias and median (IQR) Newcastle Ottawa Scale for cohort studies was 7.5 (6-9). In both RCTs and cohort studies, buprenorphine was associated with; greater offspring birth weight (weighted mean difference [WMD] 343 g (95% CI: 40-645 g) in RCT and 184 g (95% CI: 121-247 g) in cohort studies); body length at birth (WMD 2.28 cm (95% CI: 1.06-3.49 cm) in RCTs and 0.65 cm (95% CI: 0.31-0.98 cm) in cohort studies); and reduced risk of prematurity (risk ratio [RR] 0.41 (95% CI: 0.18-0.93) in RCTs and 0.63 [95% CI: 0.53-0.75] in cohort studies) when compared to methadone. All other clinical outcomes were comparable. CONCLUSIONS: Compared to methadone, buprenorphine was consistently associated with improved birthweight and gestational age, however given potential biases, results should be interpreted with caution.

Demystifying the Black Box: The Importance of Interpretability of Predictive Models in Neurocritical Care.

Neurocritical care patients are a complex patient population, and to aid clinical decision-making, many models and scoring systems have previously been developed. More recently, techniques from the field of machine learning have been applied to neurocritical care patient data to develop models with high levels of predictive accuracy. However, although these recent models appear clinically promising, their interpretability has often not been considered and they tend to be black box models, making it extremely difficult to understand how the model came to its conclusion. Interpretable machine learning methods have the potential to provide the means to overcome some of these issues but are largely unexplored within the neurocritical care domain. This article examines existing models used in neurocritical care from the perspective of interpretability. Further, the use of interpretable machine learning will be explored, in particular the potential benefits and drawbacks that the techniques may have when applied to neurocritical care data. Finding a solution to the lack of model explanation, transparency, and accountability is important because these issues have the potential to contribute to model trust and clinical acceptance, and, increasingly, regulation is stipulating a right to explanation for decisions made by models and algorithms. To ensure that the prospective gains from sophisticated predictive models to neurocritical care provision can be realized, it is imperative that interpretability of these models is fully considered.

A multicentre evaluation exploring the impact of an integrated health and social care intervention for the caregivers of ICU survivors.

BACKGROUND: Caregivers and family members of Intensive Care Unit (ICU) survivors can face emotional problems following patient discharge from hospital. We aimed to evaluate the impact of a multi-centre integrated health and social care intervention, on caregiver and family member outcomes. METHODS: This study evaluated the impact of the Intensive Care Syndrome: Promoting Independence and Return to Employment (InS:PIRE) programme across 9 sites in Scotland. InS:PIRE is an integrated health and social care intervention. We compared caregivers who attended this programme with a contemporary control group of ICU caregivers (usual care cohort), who did not attend. RESULTS: The primary outcome was anxiety measured via the Hospital Anxiety and Depression Scale at 12 months post-hospital discharge. Secondary outcome measures included depression, carer strain and clinical insomnia. A total of 170 caregivers had data available at 12 months for inclusion in this study; 81 caregivers attended the InS:PIRE intervention and completed outcome measures at 12 months post-hospital discharge. In the usual care cohort of caregivers, 89 completed measures. The two cohorts had similar baseline demographics. After adjustment, those caregivers who attended InS:PIRE demonstrated a significant improvement in symptoms of anxiety (OR: 0.42, 95% CI: 0.20-0.89, p = 0.02), carer strain (OR: 0.39; 95% CI: 0.16-0.98 p = 0.04) and clinical insomnia (OR: 0.40; 95% CI: 0.17-0.77 p < 0.001). There was no significant difference in symptoms of depression at 12 months. CONCLUSIONS: This multicentre evaluation has shown that caregivers who attended an integrated health and social care intervention reported improved emotional health and less symptoms of insomnia, 12 months after the delivery of the intervention.

Short- and long-term outcomes of intensive care patients with acute kidney disease.

BACKGROUND: Acute kidney disease (AKD) is a proposed definition for acute kidney injury (AKI) lasting 7 days or longer. Little has been reported regarding characteristics of patients with AKD and their short- and long-term outcomes. We describe the epidemiology and risk factors for AKD and outcomes following AKD. METHODS: This retrospective observational cohort study identified patients aged 16 or older admitted to the Glasgow Royal Infirmary and Queen Elizabeth University Hospital intensive care units (ICUs) in Scotland between 1st July 2015 and 30th June 2018. Baseline serum creatinine and subsequent values were used to identify patients with de-novo kidney injury (DNKI). Patients with recovery prior to day 7 were classified as AKI; recovery at day 7 or beyond was classified as AKD. Outcomes were in-hospital and long-term mortality, and proportion of major adverse kidney events (MAKEs). Multivariable logistic regression was used to identify risk factors for AKD. A Cox proportional hazards model was used to identify factors associated with long-term outcomes. FINDINGS: Of the 5,334 patients admitted to ICU who were assessed for DNKI, 1,620 (30·4%) suffered DNKI and of these, 403 (24·9%) met AKD criteria; 984 (60·7%) were male and the median age was 60·0 (IQR=48·0-72·0). Male sex, sepsis and lower baseline estimated glomerular filtration rate (eGFR) were associated with development of AKD. In-ICU (16·1%vs6·2%) and in-hospital (26·1%vs11·6%) mortality rates were significantly higher in AKD patients than AKI patients. Long-term survival was not different for AKD patients (HR=1·16; p-value=0·261) but AKD was associated with subsequent MAKEs (OR=1·25). INTERPRETATION: One in four ICU patients with DNKI met AKD criteria. These patients had an increased risk of short-term mortality and long-term MAKEs. Whilst the trend for long-term survival was lower, this was not significantly different from shorter-term AKI patients. Patients with AKD during their ICU stay should be identified to initiate interventions to reduce risk of future MAKEs. FUNDING: No funding was associated with this study.

Long-term outcomes following severe COVID-19 infection: a propensity matched cohort study.

BACKGROUND: There are limited data describing the long-term outcomes of severe COVID-19. We aimed to evaluate the long-term psychosocial and physical consequences of severe COVID-19 for patients. METHODS: We conducted a multicentre observational cohort study; between 3 and 7 months posthospital discharge, patients who had been admitted to critical care due to severe COVID-19 were invited to an established recovery service. Standardised questionnaires concerning emotional, physical and social recovery, including information on employment, were completed by patients. Using propensity score matching, we explored outcomes between patients admitted to critical care with and without COVID-19, using data from the same recovery programme. RESULTS: Between July 2020 and December 2020, 93 patients who had been admitted to critical with COVID-19 participated. Emotional dysfunction was common: 46.2% of patients had symptoms of anxiety and 34.4% symptoms of depression. At follow-up 53.7% of previously employed patients had returned to employment; there was a significant difference in return to employment across the socio-economic gradient, with lower numbers of patients from the most deprived areas returning to employment (p=0.03). 91 (97.8%) COVID-19 patients were matched with 91 non-COVID-19 patients. There were no significant differences in any measured outcomes between the two cohorts. INTERPRETATION: Emotional and social problems are common in survivors of severe COVID-19 infection. Coordinated rehabilitation is required to ensure patients make an optimal recovery.