A Randomized Noninferiority Trial to Compare Enteral to Parenteral Phosphate Replacement on Biochemistry, Waste, and Environmental Impact and Healthcare Cost in Critically Ill Patients With Mild to Moderate Hypophosphatemia.

OBJECTIVES: Hypophosphatemia occurs frequently. Enteral, rather than IV, phosphate replacement may reduce fluid replacement, cost, and waste. DESIGN: Prospective, randomized, parallel group, noninferiority clinical trial. SETTING: Single center, 42-bed state trauma, medical and surgical ICUs, from April 20, 2022, to July 1, 2022. PATIENTS: Patients with serum phosphate concentration between 0.3 and 0.75 mmol/L. INTERVENTIONS: We randomized patients to either enteral or IV phosphate replacement using electronic medical record-embedded program. MEASUREMENT AND MAIN RESULTS: Our primary outcome was serum phosphate at 24 hours with a noninferiority margin of 0.2 mmol/L. Secondary outcomes included cost savings and environmental waste reduction and additional IV fluid administered. The modified intention-to-treat cohort comprised 131 patients. Baseline phosphate concentrations were similar between the two groups. At 24 hours, mean ( sd ) serum phosphate concentration were enteral 0.89 mmol/L (0.24 mmol/L) and IV 0.82 mmol/L (0.28 mmol/L). This difference was noninferior at the margin of 0.2 mmol/L (difference, 0.07 mmol/L; 95% CI, -0.02 to 0.17 mmol/L). When assigned IV replacement, patients received 408 mL (372 mL) of solvent IV fluid. Compared with IV replacement, the mean cost per patient was ten-fold less with enteral replacement ($3.7 [$4.0] vs. IV: $37.7 [$31.4]; difference = $34.0 [95% CI, $26.3-$41.7]) and weight of waste was less (7.7 g [8.3 g] vs. 217 g [169 g]; difference = 209 g [95% CI, 168-250 g]). C O2 emissions were 60-fold less for comparable phosphate replacement (enteral: 2 g producing 14.2 g and 20 mmol of potassium dihydrogen phosphate producing 843 g of C O2 equivalents). CONCLUSIONS: Enteral phosphate replacement in ICU is noninferior to IV replacement at a margin of 0.2 mmol/L but leads to a substantial reduction in cost and waste.

In-person peer support for critical care survivors: The ICU REcovery Solutions cO-Led through surVivor Engagement (ICURESOLVE) pilot randomised controlled trial.

BACKGROUND: Peer support is a promising intervention to mitigate post-ICU disability, however there is a paucity of rigorously designed studies. OBJECTIVES: The objective of this study was to establish feasibility of an in-person, co-designed, peer-support model. METHODS: Prospective, randomised, adaptive, single-centre pilot trial with blinded outcome assessment, conducted at a university-affiliated hospital in Melbourne, Australia. Intensive care unit survivors (and their nominated caregiver, where survivor and caregiver are referred to as a dyad), >18 years of age, able to speak and understand English and participate in phone surveys, were eligible. Participants were randomised to the peer-support model (six sessions, fortnightly) or usual care (no follow-up or targeted information). Two sequential models were piloted: 1. Early (2-3 weeks post hospital discharge) 2. Later (4-6 weeks post hospital discharge). Primary outcome was feasibility of implementation measured by recruitment, intervention attendance, and outcome completion. Secondary outcomes included post-traumatic stress and social support. RESULTS: Of the 231 eligible patients, 80 participants were recruited. In the early model we recruited 38 participants (28 patients, 10 carers; 18 singles, 10 dyads), with an average (standard deviation) age of 60 (18) years; 55 % were female. Twenty-two participants (58 %) were randomised to intervention. Participants in the early intervention model attended a median (interquartile range) of 0 (0-1) sessions (total 24 sessions), with 53% (n = 20) completing the main secondary outcome of interest (Impact of Event Scale) at the baseline and 37 % (n = 14) at the follow-up. For the later model we recruited 42 participants (32 patients, 10 carers; 22 singles, 10 dyads), with an average (standard deviation) age of 60.4 (15.4) years; 50 % were female. Twenty-one participants (50 %) were randomised to intervention. The later intervention model attended a median (interquartile range) of 1 (0-5) sessions (total: 44 sessions), with the main secondary outcome impact of events scale (IES-R) completed by 41 (98 %) participants at baseline and 29 (69 %) at follow-up. CONCLUSIONS: In this pilot trial, a peer-support model that required in-person attendance delivered in a later posthospital phase of recovery appeared more feasible than an early model. Further research should investigate alternative modes of intervention delivery to improve feasibility (ACTRN12621000737831).

Fragmentation of care between intensive and primary care settings and opportunities for improvement.

PURPOSE: To explore the gaps in care provided across the transitions from the intensive care unit (ICU) to primary care, in order to improve post-ICU care. METHODS: Semistructured interviews with three participant groups: intensivists, general practitioners (GPs) and patients and carers with framework analysis of textual data were used to investigate experiences of transitions of care post-ICU. Participants were purposively sampled for diversity. Eligible patients were adults, mechanically ventilated for >24 hours, with access to a video-enabled device. Exclusion criteria were non-English speaking and any cognitive/neurological limitation precluding interview participation. RESULTS: A total of 46 interviews (15 patients, 8 caregivers, 15 intensivists and 8 GPs) were completed. Eight themes were identified, and categorised into three healthcare tiers. Tier 1, health system factors: (1) fragmentation of care; (2) communication gaps; (3) limited awareness and recognition of issues beyond the ICU; (4) lack of a specialised ICU follow-up pathway; Tier 2, clinician factors: (5) relationships among ICU, hospitals, GPs and patients and carers; (6) need for clinician role definition and clarity in ICU follow-up; Tier 3, patient and carer factors: (7) patient autonomy and self-actualisation and (8) the evolving caregiver role. A conceptual model was developed, highlighting bidirectional feedback loops between hospital and primary care. CONCLUSION: This study identified gaps in care between ICU discharge and reintegration with primary care from the lived experience of patients, caregivers, intensivists and GPs. These data provide foci for future interventional research to improve the integration of care for this vulnerable and underserved cohort.

Protein supplementation in critical illness: why, when and how?

PURPOSE OF REVIEW: In critically ill patients, optimal protein provision remains a challenge given the wide range in recommended protein delivery in international guidelines and the lack of robust, high quality evidence. As patients are confronted with poor functional outcomes after admission, often attributed to muscle wasting and persisting for multiple years, there is a pressing need for optimal nutritional strategies in the ICU, particularly including protein. This review will discuss the recent literature with regard to purpose, timing and mode of protein delivery. RECENT FINDINGS: Recent studies on the effect of dose and timing of protein on clinical and functional outcomes are largely observational in nature and the protein delivery considered as "high" still often only nears the lower end of current recommendations. The majority of trials observed no effect of protein supplementation on mortality, muscle strength or function, though some report attenuation of muscle volume loss, especially when combined with muscle activation. There is no strong evidence that ICU patients should receive supplementation with any specific amino acids. SUMMARY: Though adequate protein provision is likely important, it is difficult to come to a uniform conclusion regarding dosing and timing due to conflicting results in mostly observational studies as well as different cut-off values for high, moderate and low protein intake. This topic is currently subject to large clinical trials.

Update on glucose control during and after critical illness.

PURPOSE OF REVIEW: There is a complex bidirectional relationship between critical illness and disordered glucose metabolism. This review aims to provide a comprehensive summary of the recent evidence focused on the relationship between critical illness and disordered glucose metabolism through the distinct phases of prior to, during, and after an acute illness that requires admission to the intensive care unit (ICU). RECENT FINDINGS: Recent data suggest that preexisting glucose metabolism affects the optimal blood glucose target during critical illness, with preliminary data suggesting that glucose targets should be 'personalized' based on preexisting glycemia. Because of the close association between critical illness and disordered glucose metabolism, there is a need to optimize glucose monitoring in the ICU with rapid, precise, and cost-efficient measurements at the bedside. Recent studies have evaluated the use of various methodologies, with a focus on the use of near-continuous glucose monitoring. For those patients with preexisting diabetes who survive ICU, nocturnal hypoglycemia may be an unrecognized and important issue when discharged to the ward. There is increasing evidence that patients with high blood glucose during their acute illness, so called 'stress hyperglycemia', are at increased risk of developing diabetes in the years following recovery from the inciting event. Critically ill patients with COVID-19 appear at greater risk. SUMMARY: There have been important recent insights in the approach to glucose monitoring and glucose targets during critical illness, monitoring and administration of glucose-lowering drugs on discharge from the ICU, and longitudinal follow-up of patients with stress hyperglycemia.

Administration of pharmacological sleep aids prior to, during and following critical illness.

BACKGROUND: Sleep in the intensive care unit (ICU) is frequently disturbed and this may have a detrimental effect on recovery. AIM: To determine the use of pharmacological sleep aids in critically ill patients prior to, during and after ICU admission. METHODS: We conducted a single-centre period prevalence study of all adult patients admitted to a university-associated adult medical-surgical ICU for more than two nights in a 3-month period ending September 2019. The major outcome of interest was the proportion of ICU patients who had a pharmacological sleep aid administered prior to, during and after ICU admission. Associations of selected patient variables with sleep aid prescription in the ICU were summarised both as unadjusted univariable comparisons and as adjusted effect estimates returned by a multivariable logistic regression model. RESULTS: During the study period, 370 patients met all eligibility criteria. A pharmacological sleep aid was identified prior to hospital admission in 34 (9%) patients and in 62 (17%) patients during ICU admission. Of the 340 ICU survivors, 292 remained in the same hospital. Of these, 96 (33%) received a pharmacological sleep aid at least once during their post-ICU general hospital ward stay. Pre-hospital sleep aid use, male sex, longer ICU admission and higher APACHE (Acute Physiology and Chronic Health Evaluation) III scores were associated with sleep aid prescription in the ICU. CONCLUSIONS: Pharmacological sleep aids are administered frequently in the ICU with administration increasing substantially after ICU discharge.

Nocturnal Hypoglycemia in Patients With Diabetes Discharged From ICUs: A Prospective Two-Center Cohort Study.

OBJECTIVES: There is very limited information about glycemic control after discharge from the ICU. The aims of this study were to evaluate the prevalence of hypoglycemia in ICU survivors with type-2 diabetes and determine whether hypoglycemia is associated with cardiac arrhythmias. DESIGN: Prospective, observational, two-center study. Participants underwent up to 5 days of simultaneous blinded continuous interstitial glucose monitoring and ambulatory 12-lead electrocardiogram monitoring immediately after ICU discharge during ward-based care. Frequency of arrhythmias, heart rate variability, and cardiac repolarization markers were compared between hypoglycemia (interstitial glucose ≤ 3.5 mmol/L) and euglycemia (5-10 mmol/L) matched for time of day. SETTING: Mixed medical-surgical ICUs in two geographically distinct university-affiliated hospitals. PATIENTS: Patients with type-2 diabetes who were discharged from ICU after greater than or equal to 24 hours with greater than or equal to one organ failure and were prescribed subcutaneous insulin were eligible. MEASUREMENTS AND MAIN RESULTS: Thirty-one participants (mean ± sd, age 65 ± 13 yr, glycated hemoglobin 64 ± 22 mmol/mol) were monitored for 101 ± 32 hours post-ICU (total 3,117 hr). Hypoglycemia occurred in 12 participants (39%; 95% CI, 22-56%) and was predominantly nocturnal (40/51 hr) and asymptomatic (25/29 episodes). Participants experiencing hypoglycemia had 2.4 ± 0.7 discrete episodes lasting 45 minutes (interquartile range, 25-140 min). Glucose nadir was less than or equal to 2.2 mmol/L in 34% of episodes. The longest episode of nocturnal hypoglycemia was 585 minutes with glucose nadir less than 2.2 mmol/L. Simultaneous electrocardiogram and continuous interstitial glucose monitoring recordings were obtained during 44 hours of hypoglycemia and 991 hours of euglycemia. Hypoglycemia was associated with greater risk of bradycardia but did not affect atrial or ventricular ectopics, heart rate variability, or cardiac repolarization. CONCLUSIONS: In ICU survivors with insulin-treated type-2 diabetes, hypoglycemia occurs frequently and is predominantly nocturnal, asymptomatic, and prolonged.

Incident Diabetes in Survivors of Critical Illness and Mechanisms Underlying Persistent Glucose Intolerance: A Prospective Cohort Study.

OBJECTIVES: Stress hyperglycemia occurs in critically ill patients and may be a risk factor for subsequent diabetes. The aims of this study were to determine incident diabetes and prevalent prediabetes in survivors of critical illness experiencing stress hyperglycemia and to explore underlying mechanisms. DESIGN: This was a prospective, single center, cohort study. At admission to ICU, hemoglobin A1c was measured in eligible patients. Participants returned at 3 and 12 months after ICU admission and underwent hemoglobin A1c testing and an oral glucose tolerance test. Blood was also collected for hormone concentrations, whereas gastric emptying was measured via an isotope breath test. ß-cell function was modeled using standard techniques. SETTING: Tertiary-referral, mixed medical-surgical ICU. PATIENTS: Consecutively admitted patients who developed stress hyperglycemia and survived to hospital discharge were eligible. MEASUREMENTS AND MAIN RESULTS: Consent was obtained from 40 patients (mean age, 58 yr [SD, 10], hemoglobin A1c 36.8 mmol/mol [4.9 mmol/mol]) with 35 attending the 3-month and 26 the 12-month visits. At 3 months, 13 (37%) had diabetes and 15 (43%) had prediabetes. At 12 months, seven (27%) participants had diabetes, whereas 11 (42%) had prediabetes. Mean hemoglobin A1c increased from baseline during the study: +0.7 mmol/mol (-1.2 to 2.5 mmol/mol) at 3 months and +3.3 mmol/mol (0.98-5.59 mmol/mol) at 12 months (p = 0.02). Gastric emptying was not significantly different across groups at either 3 or 12 months. CONCLUSIONS: Diabetes and prediabetes occur frequently in survivors of ICU experiencing stress hyperglycemia. Based on the occurrence rate observed in this cohort, structured screening and intervention programs appear warranted.

Are point-of-care measurements of glycated haemoglobin accurate in the critically ill?

INTRODUCTION: Critically ill patients with type 2 diabetes mellitus (T2DM) and chronic hyperglycaemia may benefit from a more liberal approach to glucose control than patients with previously normal glucose tolerance. It may therefore be useful to rapidly determine HbA1c concentrations. Point-of-care (POC) analysers offer rapid results but may be less accurate than laboratory analysis. AIM(S): The aim of this study was to determine agreement between POC and laboratory HbA1c testing in critically ill patients with T2DM. METHODS: Critically ill patients with T2DM had concurrent laboratory, capillary-, and arterial-POC HbA1c measurements performed. Data are presented as mean (standard deviation) or median [interquartile range]. Measurement agreement was assessed by Lin's concordance correlation coefficient, Bland-Altman 95% limits of agreement, and classification by Cohen's kappa statistic. RESULTS: HbA1c analysis was performed for 26 patients. The time to obtain a result from POC analysis took a median of 9 [7, 10] minutes. Laboratory analysis took a median of 328 [257, 522] minutes from the time of test request to the time of report. Lin's correlation coefficient showed almost perfect agreement (0.99%) for arterial- vs capillary-POC and both POC methods vs arterial laboratory analysis. Bland-Altman plots showed a mean difference of 2.0 (3.7) with 95% limits of agreement of -5.4 to 9.3 for capillary vs laboratory, 1.6 (3.4) and -5.1 to 8.4 for arterial vs laboratory, and -0.137 (2.6) and -5.2 to 4.9 for capillary vs arterial. Patient classification as having inadequately controlled diabetes (>53 mmol/mol) showed 100% agreement across all tests. CONCLUSIONS: HbA1c values can be accurately and rapidly obtained using POC testing in the critically ill.

Pantoprazole or Placebo for Stress Ulcer Prophylaxis (POP-UP): Randomized Double-Blind Exploratory Study.

OBJECTIVES: Pantoprazole is frequently administered to critically ill patients for prophylaxis against gastrointestinal bleeding. However, comparison to placebo has been inadequately evaluated, and pantoprazole has the potential to cause harm. Our objective was to evaluate benefit or harm associated with pantoprazole administration. DESIGN: Prospective randomized double-blind parallel-group study. SETTING: University-affiliated mixed medical-surgical ICU. PATIENTS: Mechanically ventilated critically ill patients suitable for enteral nutrition. INTERVENTIONS: We randomly assigned patients to receive either daily IV placebo or pantoprazole. MEASUREMENTS AND MAIN RESULTS: Major outcomes were clinically significant gastrointestinal bleeding, infective ventilator-associated complication or pneumonia, and Clostridium difficile infection; minor outcomes included overt bleeding, hemoglobin concentration profiles, and mortality. None of the 214 patients randomized had an episode of clinically significant gastrointestinal bleeding, three patients met the criteria for either an infective ventilator-associated complication or pneumonia (placebo: 1 vs pantoprazole: 2), and one patient was diagnosed with Clostridium difficile infection (0 vs 1). Administration of pantoprazole was not associated with any difference in rates of overt bleeding (6 vs 3; p = 0.50) or daily hemoglobin concentrations when adjusted for transfusion rates of packed red cells (p = 0.66). Mortality was similar between groups (log-rank p = 0.33: adjusted hazard ratio for pantoprazole: 1.68 [95% CI, 0.97-2.90]; p = 0.06). CONCLUSIONS: We found no evidence of benefit or harm with the prophylactic administration of pantoprazole to mechanically ventilated critically ill patients anticipated to receive enteral nutrition. The practice of routine administration of acid-suppressive drugs to critically ill patients for stress ulcer prophylaxis warrants further evaluation.

Stress hyperglycaemia in critically ill patients and the subsequent risk of diabetes: a systematic review and meta-analysis.

BACKGROUND: Hyperglycaemia occurs frequently in critically ill patients without diabetes. We conducted a systematic review and meta-analysis to evaluate whether this 'stress hyperglycaemia' identifies survivors of critical illness at increased risk of subsequently developing diabetes. METHODS: We searched the MEDLINE and Embase databases from their inception to February 2016. We included observational studies evaluating adults admitted to the intensive care unit (ICU) who developed stress hyperglycaemia if the researchers reported incident diabetes or prediabetes diagnosed ≥3 months after hospital discharge. Two reviewers independently screened the titles and abstracts of identified studies and evaluated the full text of relevant studies. Data were extracted using pre-defined data fields, and risk of bias was assessed using the Newcastle-Ottawa Scale. Pooled ORs with 95 % CIs for the occurrence of diabetes were calculated using a random-effects model. RESULTS: Four cohort studies provided 2923 participants, including 698 with stress hyperglycaemia and 131 cases of newly diagnosed diabetes. Stress hyperglycaemia was associated with increased risk of incident diabetes (OR 3.48; 95 % CI 2.02-5.98; I 2 = 36.5 %). Studies differed with regard to definitions of stress hyperglycaemia, follow-up and cohorts studied. CONCLUSIONS: Stress hyperglycaemia during ICU admission is associated with increased risk of incident diabetes. The strength of this association remains uncertain because of statistical and clinical heterogeneity among the included studies.

Association between protocol change to a higher-protein formula with lower energy targets and nutrient delivery in critically ill patients with COVID-19: A retrospective cohort study.

BACKGROUND: Guidelines recommend prioritizing protein provision while avoiding excessive energy delivery to critically ill patients with coronavirus disease 2019 (COVID-19), but there are no prospective studies evaluating such a targeted approach in this group. We aimed to evaluate the effect of a "higher-protein formula protocol" on protein, energy, and volume delivery when compared with standard nutrition protocol. METHODS: This was a retrospective cohort study of adult patients with COVID-19 who received mechanical ventilation for >72 h and enteral nutrition. Before October 2021, the standard nutrition protocol for patients was 0.7 ml/kg/h ideal body weight (IBW) of a 63 g/L protein and 1250 kcal/L formula. From October 2021, we implemented a higher-protein formula protocol for patients with COVID-19. The initial prescription was 0.5 ml/kg/h IBW of a 100 g/L protein and 1260 kcal/L formula with greater emphasis on energy targets being directed by indirect calorimetry when possible. Measured outcomes included protein, energy, and volume delivered. RESULTS: There were 114 participants (standard protocol, 48; higher-protein protocol, 66) with 1324 days of nutrition support. The median (95% CI) differences in protein, energy, and volume delivery between targeted and standard protocol periods were 0.08 g/kg/day (-0.02 to 0.18 g/kg/day), -1.71 kcal/kg/day (-3.64 to 0.21 kcal/kg/day) and -1.5 ml/kg/day (-2.9 to -0.1 ml/kg/day). Thirty-three patients (standard protocol, 7; higher-protein protocol, 26) had 44 indirect calorimetry assessments. There was no difference in measured energy expenditure over time (increased by 0.49 kcal/kg/day [-0.89 to 1.88 kcal/kg/day]). CONCLUSION: Implementation of a higher-protein formula protocol to patients with COVID-19 modestly reduced volume administration without impacting protein and energy delivery.

Plasma beta-hydroxy-beta-methylbutyrate availability after enteral administration during critical illness after trauma: An exploratory study.

BACKGROUND: During critical illness skeletal muscle wasting occurs rapidly. Although beta-hydroxy-beta-methylbutyrate (HMB) is a potential treatment to attenuate this process, the plasma appearance and muscle concentration is uncertain. METHODS: This was an exploratory study nested within a blinded, parallel group, randomized clinical trial in which critically ill patients after trauma received enteral HMB (3 g daily) or placebo. Plasma samples were collected at 0, 60, and 180 min after study supplement administration on day 1. Needle biopsies of the vastus lateralis muscle were collected (baseline and day 7 of the HMB treatment intervention period). An external standard curve was used to calculate HMB concentrations in plasma and muscle. RESULTS: Data were available for 16 participants (male n = 12 (75%), median [interquartile range] age 50 [29-58] years) who received placebo and 18 participants (male n = 14 (78%), age 49 [34-55] years) who received HMB. Plasma HMB concentrations were similar at baseline but increased after HMB (T = 60 min: placebo 0.60 [0.44-1.31] µM; intervention 51.65 [22.76-64.72] µM). Paired muscle biopsies were collected from 11 participants (placebo n = 7, HMB n = 4). Muscle HMB concentrations were similar at baseline between groups (2.35 [2.17-2.95]; 2.07 [1.78-2.31] µM). For participants in the intervention group who had the repeat biopsy within 4 h of HMB administration, concentrations were greater (7.2 and 12.3 µM) than those who had the repeat biopsy >4 h after HMB (2.7 and 2.1 µM). CONCLUSION: In this exploratory study, enteral HMB administration increased plasma HMB availability. The small sample size limits interpretation of the muscle HMB findings.

"How Do I Test the Waters? How Do I Go Forward?": Codesigning a Supportive Pathway after Critical Illness.

Rationale: Long-term recovery after critical illness can be affected by post-intensive care syndrome (PICS), a significant burden, which can impact return to activities and work. There is a need for streamlined support for intensive care unit (ICU) patients in their recovery while enduring PICS symptoms. Objectives: To explore critical illness recovery from the experiences, perspectives, and beliefs of former ICU patients, their caregivers, and multidisciplinary clinicians to design a future rehabilitation intervention prototype to support ICU patients. Methods: This was an experience-based codesign (EBCD) study underpinned by the Behavior Change Wheel framework involving ICU patients (<5 years after illness), caregivers, and multidisciplinary clinicians with current clinical experience with ICU recovery at any point along the care continuum (ICU, acute, subacute, or community settings) from two metropolitan hospitals in Melbourne, Australia. Two rounds of experience-based codesign workshops were held between August 2021 and February 2022. Workshop content was analyzed via a reflective thematic approach to determine themes and develop an intervention. The intervention was mapped according to the template for intervention description and replication framework. Results: Forty people participated in the codesign process: 15 ICU patients, 2 caregivers, and 23 clinicians. Fifteen major themes were identified in the experience of ICU recovery. Returning home was a key time point for change, acceptance, and adjustment, with the burden of physical limitations and mental health problems becoming apparent. Most participants expressed that PICS was poorly understood in the community, and there was a lack of support to aid recovery. Based on these results, an intervention prototype was developed with a primary goal of improving care after hospital discharge. This was further refined in the second round of workshops. A resource toolkit was deemed most acceptable to end-users, including a hospital-directed support program involving psychology and physical therapy and an accompanying digital health package. Conclusions: A critical time point for more support in the recovery journey was the transition from hospital to home. To address this, a rehabilitation prototype including a physical and psychological support intervention and supporting digital health toolkit was codesigned. The intervention package will be developed and trialed with future ICU patients and their families. Clinical trial registered with www.clinicaltrials.gov (NCT05044221).

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia.

BACKGROUND: Critical care survivors experience multiple care transitions, with no formal follow-up care pathway. RESEARCH QUESTION: What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas? STUDY DESIGN AND METHODS: This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network. RESULTS: Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, 8 GPs, 15 patients, and 8 caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding. INTERPRETATION: Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

Sleep during and following critical illness: A narrative review.

Sleep is a complex process influenced by biological and environmental factors. Disturbances of sleep quantity and quality occur frequently in the critically ill and remain prevalent in survivors for at least 12 mo. Sleep disturbances are associated with adverse outcomes across multiple organ systems but are most strongly linked to delirium and cognitive impairment. This review will outline the predisposing and precipitating factors for sleep disturbance, categorised into patient, environmental and treatment-related factors. The objective and subjective methodologies used to quantify sleep during critical illness will be reviewed. While polysomnography remains the gold-standard, its use in the critical care setting still presents many barriers. Other methodologies are needed to better understand the pathophysiology, epidemiology and treatment of sleep disturbance in this population. Subjective outcome measures, including the Richards-Campbell Sleep Questionnaire, are still required for trials involving a greater number of patients and provide valuable insight into patients' experiences of disturbed sleep. Finally, sleep optimisation strategies are reviewed, including intervention bundles, ambient noise and light reduction, quiet time, and the use of ear plugs and eye masks. While drugs to improve sleep are frequently prescribed to patients in the ICU, evidence supporting their effectiveness is lacking.

Beta-hydroxy-beta-methylbutyrate supplementation and functional outcomes in multitrauma patients: A pilot randomized controlled trial.

BACKGROUND: Beta-hydroxy-beta-methylbutyrate (HMB) is a nutrition supplement that may attenuate muscle wasting from critical illness. This trial aimed to determine feasibility of administering a blinded nutrition supplement in the intensive care unit (ICU) and continuing it after ICU discharge. METHODS: Single-center, parallel-group, blinded, placebo-controlled, randomized feasibility trial. After traumatic injury necessitating admission to ICU, participants were randomized to receive an enteral study supplement of 3 g of HMB (intervention) or placebo daily for 28 days or until hospital discharge. Primary outcome was feasibility of administering the study supplement, quantified as protocol adherence. Secondary outcomes included change in quadriceps muscle thickness, measured weekly until day 28 or hospital discharge by using ultrasound and analyzed by using a linear mixed model. RESULTS: Fifty randomized participants (intervention, n = 26; placebo, n = 24) showed comparable baseline characteristics. Participants received 862 (84.3%) of the 1022 prescribed supplements during hospitalization with 543 (62.8%) delivered via an enteral feeding tube. The median (IQR) number of study supplements successfully administered per participant was 19.5 (13.0-24.0) in the intervention group and 16.5 (8.5-23.5) in the placebo group. Marked loss of quadriceps muscle thickness occurred in both groups, with the point estimate favoring attenuated muscle loss with the intervention, albeit with wide CIs (mean intervention difference after 28 days, 0.26 cm [95% CI, -0.13 to 0.64]). CONCLUSION: A blinded, placebo-controlled, randomized clinical trial of daily enteral HMB supplementation for up to 28 days in hospital is feasible. Any effect of HMB supplementation to attenuate muscle wasting after traumatic injury remains uncertain.

Aggression, violence and threatening behaviour during critical illness.

Objective: This article aims to quantify prevalence of patient aggression or threatened/actual violence during critical illness. Design: This is a retrospective cohort study. Setting: This study was conducted in single adult trauma intensive care unit (ICU). Participants: Patients aged 18 years or over, admitted between January 2015 and December 2020, who triggered a "Code Grey" response due to aggression or threatened/actual violence. Main outcome measure: The primary outcome was prevalence of Code Grey events. Secondary outcomes included unadjusted and adjusted (logistic mixed model) effects of patient demographics, diagnoses and severity of illness on Code Grey events. Results: There were 16175 ICU admissions relating to 14085 patients and 807 Code Grey events involving 379 (2.7%) patients. The observed count of events increased progressively from 2015 (n = 77) to 2020 (n = 204). For patients with a Code Grey, the median count of events was 3 (range 1-33). Independent predictors of at least one ICU Code Grey event included male sex (OR 2.5; 95% CI 1.8 to 3.4), young age (most elevated odds ratio in patients 20-30 years), admission from the emergency department (OR 2.8, 95% CI 2.1 to 3.6) and a trauma diagnosis (OR 1.4, 95% CI 1.1 to 1.9). Code Grey patients had longer admissions with a reduced risk of death. Conclusions: The prevalence of Code Grey events in ICU appears to be increasing. Patients may have repeated events. Younger male patients admitted to ICU via the emergency department with a trauma or medical diagnosis are at greatest risk of a Code Grey event.

ß-Hydroxy-ß-methylbutyrate (HMB) supplementation and functional outcomes in multi-trauma patients: a study protocol for a pilot randomised clinical trial (BOOST trial).

BACKGROUND: There are no therapies proven to diminish the muscle wasting that occurs in patients after major trauma who are admitted to the intensive care unit (ICU). ß-Hydroxy-ß-methylbutyrate (HMB) is a nutrition intervention that may attenuate muscle loss and, thereby, improve recovery. The primary aim of this study is to determine the feasibility of a blinded randomised clinical trial of HMB supplementation to patients after major trauma who are admitted to the ICU. Secondary aims are to establish estimates for the impact of HMB when compared to placebo on muscle mass and nutrition-related patient outcomes. METHODS: This prospective, single-centre, blinded, randomised, placebo-controlled, parallel-group, feasibility trial with allocation concealment will recruit 50 participants over 18 months. After informed consent, participants will be randomised [1:1] to receive either the intervention (three grams of HMB dissolved in either 150 ml of orange juice for those allowed oral intake or 150 ml of water for those being enterally fed) or placebo (150 ml of orange juice for those allowed oral intake or 150 ml of water for those being enterally fed). The intervention will be commenced in ICU, continued after ICU discharge and ceased at hospital discharge or day 28 post randomisation, whichever occurs first. The primary outcome is the feasibility of administering the intervention. Secondary outcomes include change in muscle thickness using ultrasound and other nutritional and patient-centred outcomes. DISCUSSION: This study aims to determine the feasibility of administering HMB to critically ill multi-trauma patients throughout ICU admission until hospital discharge. Results will inform design of a larger randomised clinical trial. TRIAL REGISTRATION: The protocol is registered with Australian New Zealand Clinical Trials Registry (ANZCTR) ANZCTR: 12620001305910 . UTN: U1111-1259-5534.