METHODS: We performed a prospective, observational, multinational, pharmacokinetic study in 29 intensive care units from 14 countries. We collected demographic, clinical, and RRT data. We measured trough antibiotic concentrations of meropenem, piperacillin-tazobactam, and vancomycin and related them to high- and low-target trough concentrations.
RESULTS: We studied 381 patients and obtained 508 trough antibiotic concentrations. There was wide variability (4-8-fold) in antibiotic dosing regimens, RRT prescription, and estimated endogenous renal function. The overall median estimated total renal clearance (eTRCL) was 50 mL/minute (interquartile range [IQR], 35-65) and higher eTRCL was associated with lower trough concentrations for all antibiotics (P < .05). The median (IQR) trough concentration for meropenem was 12.1 mg/L (7.9-18.8), piperacillin was 78.6 mg/L (49.5-127.3), tazobactam was 9.5 mg/L (6.3-14.2), and vancomycin was 14.3 mg/L (11.6-21.8). Trough concentrations failed to meet optimal higher limits in 26%, 36%, and 72% and optimal lower limits in 4%, 4%, and 55% of patients for meropenem, piperacillin, and vancomycin, respectively.
CONCLUSIONS: In critically ill patients treated with RRT, antibiotic dosing regimens, RRT prescription, and eTRCL varied markedly and resulted in highly variable antibiotic concentrations that failed to meet therapeutic targets in many patients.
METHODS: This single-centre prospective study, involved children aged from birth to 3 years old, admitted to PICU longer than 72 hours. They received either enteral nutrition (EN) or combination of EN and partial parenteral nutrition (PPN). Clinical and nutrition delivery characteristics were recorded from admission until transferred out of PICU. Multiple regression analysis at significant level p
METHODS: Bayesian analysis of 3904 critically ill adult patients expected to receive invasive ventilation > 24 h and enrolled in a multinational randomized controlled trial comparing early DEX with usual care sedation.
RESULTS: HTE was assessed according to age and clusters (based on 12 baseline characteristics) using a Bayesian hierarchical models. DEX was associated with lower 90-day mortality compared to usual care in patients > 65 years (odds ratio [OR], 0.83 [95% credible interval [CrI] 0.68-1.00], with 97.7% probability of reduced mortality across broad categories of illness severity. Conversely, the probability of increased mortality in patients ≤ 65 years was 98.5% (OR 1.26 [95% CrI 1.02-1.56]. Two clusters were identified: cluster 1 (976 patients) mostly operative, and cluster 2 (2346 patients), predominantly non-operative. There was a greater probability of benefit with DEX in cluster 1 (OR 0.86 [95% CrI 0.65-1.14]) across broad categories of age, with 86.4% probability that DEX is more beneficial in cluster 1 than cluster 2.
CONCLUSION: In critically ill mechanically ventilated patients, early sedation with dexmedetomidine exhibited a high probability of reduced 90-day mortality in older patients regardless of operative or non-operative cluster status. Conversely, a high probability of increased 90-day mortality was observed in younger patients of non-operative status. Further studies are needed to confirm these findings.
METHODS: This single-center, retrospective, observational study included patients aged ≥18 years with an abdominal CT conducted within 72 hours of admission to the intensive care unit. SMI generated from CT images at the level of the mid-third lumbar vertebra were extracted from the medical records. Area under the receiver operating characteristic curves (AUC) was generated to determine the SMI cutoff values for hospital mortality. Association between LM (defined by SMI cutoff value) and hospital mortality was further evaluated by multivariable logistic regression.
RESULTS: In a sample of 228 patients, the overall SMI cutoff value (cm2 /m2 ) for hospital mortality was 42.0 (AUC: 0.637; sensitivity: 66.7%, specificity: 56.8%), whereas it was 46.5 in males and 35.3 in females. More males than females had LM (51.4% vs 37.5%), and >40% of overweight/obese patients had LM. Patients with LM were older and had a longer duration of mechanical ventilation and hospitalization. After adjusting for known confounders, LM independently predicted hospital mortality in the overall sample (adjusted odds ratio: 2.42; 95% CI 1.16-5.03; P = 0.003) and in both sexes.
CONCLUSION: This study established a set of SMI cutoff values that predict hospital mortality. LM is independently associated with hospital mortality.
METHODS: Using indirect calorimetry, REE was measured at acute (≤5 days; n = 294) and late (≥6 days; n = 180) phases of intensive care unit admission. PEs were developed by multiple linear regression. A multi-fold cross-validation approach was used to validate the PEs. The best PEs were selected based on the highest coefficient of determination (R2), the lowest root mean square error (RMSE) and the lowest standard error of estimate (SEE). Two PEs developed from paired 168-patient data were compared with measured REE using mean absolute percentage difference.
RESULTS: Mean absolute percentage difference between predicted and measured REE was <20%, which is not clinically significant. Thus, a single PE was developed and validated from data of the larger sample size measured in the acute phase. The best PE for REE (kcal/day) was 891.6(Height) + 9.0(Weight) + 39.7(Minute Ventilation)-5.6(Age) - 354, with R2 = 0.442, RMSE = 348.3, SEE = 325.6 and mean absolute percentage difference with measured REE was: 15.1 ± 14.2% [acute], 15.0 ± 13.1% [late].
CONCLUSIONS: Separate PEs for acute and late phases may not be necessary. Thus, we have developed and validated a PE from acute phase data and demonstrated that it can provide optimal estimates of REE for patients in both acute and late phases.
TRIAL REGISTRATION: ClinicalTrials.gov NCT03319329.
METHODS: RCTs that compared probiotics or synbiotics to usual care or placebo and reported clinical and diarrheal outcomes were searched in 4 electronic databases from inception to March 8, 2022 without language restriction. Four reviewers independently extracted data and assessed the study qualities using the Critical Care Nutrition (CCN) Methodological Quality Scoring System. Random-effect meta-analysis and trial sequential analysis (TSA) were used to synthesize the results. The primary outcome was ventilator-associated pneumonia (VAP). The main subgroup analysis compared the effects of higher versus lower quality studies (based on median CCN score).
RESULTS: Seventy-five studies with 71 unique trials (n = 8551) were included. In the overall analysis, probiotics significantly reduced VAP incidence (risk ratio [RR] 0.70, 95% confidence interval [CI] 0.56-0.88; I2 = 65%; 16 studies). However, such benefits were demonstrated only in lower (RR 0.47, 95% CI 0.32, 0.69; I2 = 44%; 7 studies) but not higher quality studies (RR 0.89, 95% CI 0.73, 1.08; I2 = 43%; 9 studies), with significant test for subgroup differences (p = 0.004). Additionally, TSA showed that the VAP benefits of probiotics in the overall and subgroup analyses were type-1 errors. In higher quality trials, TSA found that future trials are unlikely to demonstrate any benefits of probiotics on infectious complications and diarrhea. Probiotics had higher adverse events than control (pooled risk difference: 0.01, 95% CI 0.01, 0.02; I2 = 0%; 22 studies).
CONCLUSION: High-quality RCTs did not support a beneficial effect of probiotics on clinical or diarrheal outcomes in critically ill patients. Given the lack of benefits and the increased incidence of adverse events, probiotics should not be routinely administered to critically ill patients.
PROSPERO REGISTRATION: CRD42022302278.
MATERIALS AND METHODS: A cross-sectional study was undertaken in 45 public, teaching, and private hospitals in Malaysia that provide ≥ 10 beds in their ICUs. Knowledge, perceived barriers, facilitators, and practice of early mobilization were assessed using a previously validated mobility survey questionnaire.
RESULTS: Only 35% of ICU physiotherapists reported receiving training/courses on early mobilization in the ICU. 100 (86%) physiotherapists underestimated the incidence of ICU-acquired weakness, and 88 (75%) were unfamiliar with the current literature on early mobilization in the ICU. The need for physician orders before mobilization, medical instability, excessive sedation, and risk of dislodgement of devices or lines were the most common barriers to early mobilization. Nearly half (49 [42%]) of the respondents reported physiotherapist as early mobilization clinical champion in their setting, but the most common physiotherapy treatment techniques in the ICU reported by the respondents' were still chest physiotherapy, range of motion exercises, and bed mobility.
CONCLUSION: We observed strong enthusiasm for early mobilization among Malaysian physiotherapists. Most respondents believed that early mobilization is important and beneficial to ICU patients. However, there is still a big gap in knowledge and training of early mobilization in ICU patients among Malaysian physiotherapists.
BACKGROUND: Having a loved one in the ICU is a stressful experience, which may cause psychological distress for family members. Depression, anxiety and stress are the common forms of psychological distress associated with ICU patient's family members. Directly or indirectly, psychological distress may have behavioural or physiological impacts on the family members and ICU patient's recovery.
DESIGN: The study was based on the five-stage methodological framework by Arksey and O'Malley (International Journal of Social Research Methodology, 2005, 8, 19) and were guided by the PRISMA-ScR Checklist.
METHODS: A comprehensive and systematic search was performed in five electronic databases, namely the Scopus, Web of Sciences, CINAHL® Complete @EBSCOhost, ScienceDirect and MEDLINE. Reference lists from the screened full-text articles were reviewed.
RESULTS: From a total of 1252 literature screened, 22 studies published between 2010-2019 were included in the review. From those articles, four key themes were identified: (a) Prevalence of psychological distress; (b) Factors affecting family members; (c) Symptoms of psychological distress; and (d) Impact of psychological distress.
CONCLUSIONS: Family members with a critically ill patient in ICU show high levels of anxiety, depression and stress. They had moderate to major symptoms of psychological distress that negatively impacted both the patient and family members.
RELEVANCE TO CLINICAL PRACTICE: The review contributed further insights on psychological distress among ICU patient's family members and proposed psychological interventions that could positively impact the family well-being and improve the patients' recovery.