Critical care explorations最新文献

Importance: The opioid crisis is impacting people across the country and deserves attention to be able to curb the rise in opioid-related deaths.

Objectives: To evaluate practice patterns in opioid infusion administration and dosing for patients with acute respiratory failure receiving invasive mechanical ventilation.

Design: Retrospective cohort study.

Setting and participants: Patients from 21 hospitals in Kaiser Permanente Northern California and 96 hospitals in Philips electronic ICU Research Institute.

Main outcomes and measures: We assessed whether patients received opioid infusion and the dose of said opioid infusion.

Results: We identified patients with a diagnosis of acute respiratory failure who were initiated on invasive mechanical ventilation. From each patient, we determined if opioid infusions were administered and, among those who received an opioid infusion, the median daily dose of fentanyl infusion. We used hierarchical regression models to quantify variation in opioid infusion use and the median daily dose of fentanyl equivalents across hospitals. We included 13,140 patients in the KPNC cohort and 52,033 patients in the eRI cohort. A total of 7,023 (53.4%) and 16,311 (31.1%) patients received an opioid infusion in the first 21 days of mechanical ventilation in the KPNC and eRI cohorts, respectively. After accounting for patient- and hospital-level fixed effects, the hospital that a patient was admitted to explained 7% (95% CI, 3-11%) and 39% (95% CI, 28-49%) of the variation in opioid infusion use in the KPNC and eRI cohorts, respectively. Among patients who received an opioid infusion, the median daily fentanyl equivalent dose was 692 µg (interquartile range [IQR], 129-1341 µg) in the KPNC cohort and 200 µg (IQR, 0-1050 µg) in the eRI cohort. Hospital explained 4% (95% CI, 1-7%) and 20% (95% CI, 15-26%) of the variation in median daily fentanyl equivalent dose in the KPNC and eRI cohorts, respectively.

Conclusions and relevance: In the context of efforts to limit healthcare-associated opioid exposure, our findings highlight the considerable opioid exposure that accompanies mechanical ventilation and suggest potential under and over-treatment with analgesia. Our results facilitate benchmarking of hospitals' analgesia practices against risk-adjusted averages and can be used to inform usual care control arms of analgesia and sedation clinical trials.

Importance: Treatment for intracranial pressure (ICP) has been increasingly informed by machine learning (ML)-derived ICP waveform characteristics. There are gaps, however, in understanding how ICP monitor type may bias waveform characteristics used for these predictive tools since differences between external ventricular drain (EVD) and intraparenchymal monitor (IPM)-derived waveforms have not been well accounted for.

Objectives: We sought to develop a proof-of-concept ML model differentiating ICP waveforms originating from an EVD or IPM.

Design, setting, and participants: We examined raw ICP waveform data from the ICU physiology cohort within the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury multicenter study.

Main outcomes and measures: Nested patient-wise five-fold cross-validation and group analysis with bagged decision trees (BDT) and linear discriminant analysis were used for feature selection and fair evaluation. Nine patients were kept as unseen hold-outs for further evaluation.

Results: ICP waveform data totaling 14,110 hours were included from 82 patients (EVD, 47; IPM, 26; both, 9). Mean age, Glasgow Coma Scale (GCS) total, and GCS motor score upon admission, as well as the presence and amount of midline shift, were similar between groups. The model mean area under the receiver operating characteristic curve (AU-ROC) exceeded 0.874 across all folds. In additional rigorous cluster-based subgroup analysis, targeted at testing the resilience of models to cross-validation with smaller subsets constructed to develop models in one confounder set and test them in another subset, AU-ROC exceeded 0.811. In a similar analysis using propensity score-based rather than cluster-based subgroup analysis, the mean AU-ROC exceeded 0.827. Of 842 extracted ICP features, 62 were invariant within every analysis, representing the most accurate and robust differences between ICP monitor types. For the nine patient hold-outs, an AU-ROC of 0.826 was obtained using BDT.

Conclusions and relevance: The developed proof-of-concept ML model identified differences in EVD- and IPM-derived ICP signals, which can provide missing contextual data for large-scale retrospective datasets, prevent bias in computational models that ingest ICP data indiscriminately, and control for confounding using our model's output as a propensity score by to adjust for the monitoring method that was clinically indicated. Furthermore, the invariant features may be leveraged as ICP features for anomaly detection.

Objectives background: Under normal conditions, pulmonary megakaryocytes are an important source of circulating thrombocytes, causing thrombocyte counts to be higher in arterial than venous blood. In critical COVID-19, thrombocytes may be removed from the circulation by the lungs because of immunothrombosis, possibly causing venous thrombocyte counts to be higher than arterial thrombocyte counts. In the present study, we investigated time-dependent changes in pulmonary turnover of thrombocytes during critical COVID-19 by measuring arteriovenous thrombocyte differences. We hypothesized that the early stages of the disease would be characterized by a net pulmonary removal of circulating thrombocytes because of immunothrombosis and that later stages would be characterized by a net pulmonary release of thrombocytes as normal pulmonary function is restored.

Design: Cohort study with repeated measurements of arterial and central venous thrombocyte counts.

Setting: ICU in a large university hospital.

Patients: Thirty-one patients with critical COVID-19 that were admitted to the ICU and received invasive or noninvasive mechanical ventilation.

Interventions: None.

Measurements and main results: We found a significant positive association between the arteriovenous thrombocyte difference and time since symptom debut. This finding indicates a negative arteriovenous thrombocyte difference and hence pulmonary removal of thrombocytes in the early stages of the disease and a positive arteriovenous thrombocyte difference and hence pulmonary release of thrombocytes in later stages. Most individual arteriovenous thrombocyte differences were smaller than the variance coefficient of the analysis.

Conclusions: The results of this study support our hypothesis that early stages of critical COVID-19 are characterized by pulmonary removal of circulating thrombocytes because of immunothrombosis and that later stages are characterized by the return of normal pulmonary release of thrombocytes. However, in most cases, the arteriovenous thrombocyte difference was too small to say anything about pulmonary thrombocyte removal and release on an individual level.

Objectives: To identify distinct phenotypes of critically ill leptospirosis patients upon ICU admission and their potential associations with outcome.

Design: Retrospective observational study including all patients with biologically confirmed leptospirosis admitted to the ICU between January 2014 and December 2022. Subgroups of patients with similar clinical profiles were identified by unsupervised clustering (factor analysis for mixed data and hierarchical clustering on principal components).

Setting: All patients admitted to the ICU of the University Hospital of Guadeloupe on the study period.

Patients: One hundred thirty critically ill patients with confirmed leptospirosis were included.

Interventions: None.

Measurements and main results: At ICU admission, 34% of the patients had acute respiratory failure, and 26% required invasive mechanical ventilation. Shock was observed in 52% of patients, myocarditis in 41%, and neurological involvement in 20%. Unsupervised clustering identified three clusters-"Weil's Disease" (48%), "neurological leptospirosis" (20%), and "multiple organ failure" (32%)-with different ICU courses and outcomes. Myocarditis and neurological involvement were key components for cluster identification and were significantly associated with death in ICU. Other factors associated with mortality included shock, acute respiratory failure, and requiring renal replacement therapy.

Conclusions and relevance: Unsupervised analysis of critically ill patients with leptospirosis revealed three patient clusters with distinct phenotypic characteristics and clinical outcomes. These patients should be carefully screened for neurological involvement and myocarditis at ICU admission.

Objectives: Exposure to critical illness and intensive care may lead to long-term psychologic and physical impairments. To what extent ICU survivors become prolonged users of benzodiazepines after exposure to critical care is not fully explored. This study aimed to describe the extent of onset of prolonged high-potency benzodiazepine use among ICU survivors not using these drugs before admission, identify factors associated with this use, and analyze whether such usage is associated with increased mortality.

Design: Retrospective cohort study.

Setting: Sweden, including all registered ICU admissions between 2010 and 2017.

Patients: ICU patients surviving for at least 3 months, not using high-potency benzodiazepine before admission, were eligible for inclusion.

Interventions: Admission to intensive care.

Measurements and main results: A total of 237,904 patients were screened and 137,647 were included. Of these 5338 (3.9%) became prolonged users of high-potency benzodiazepines after ICU discharge. A peak in high-potency benzodiazepine prescriptions was observed during the first 3 months, followed by sustained usage throughout the follow-up period of 18 months. Prolonged usage was associated with older age, female sex, and a history of both somatic and psychiatric comorbidities, including substance abuse. Additionally, a longer ICU stay, a high estimated mortality rate, and prior consumption of low-potency benzodiazepines were associated with prolonged use. The risk of death between 6 and 18 months post-ICU admission was significantly higher among high-potency benzodiazepine users, with an adjusted hazard ratio of 1.8 (95% CI, 1.7-2.0; p < 0.001). No differences were noted in causes of death between users and nonusers.

Conclusions: Despite the lack of evidence supporting long-term treatment, prolonged usage of high-potency benzodiazepines 18 months following ICU care was notable and associated with an increased risk of death. Considering the substantial number of ICU admissions, prevention of benzodiazepine misuse may improve long-term outcomes following critical care.

Objectives: Exposure to critical illness and intensive care may lead to long-term psychologic and physical impairments. To what extent ICU survivors become prolonged users of benzodiazepines after exposure to critical care is not fully explored. This study aimed to describe the extent of onset of prolonged high-potency benzodiazepine use among ICU survivors not using these drugs before admission, identify factors associated with this use, and analyze whether such usage is associated with increased mortality.

Design: Retrospective cohort study.

Setting: Sweden, including all registered ICU admissions between 2010 and 2017.

Patients: ICU patients surviving for at least 3 months, not using high-potency benzodiazepine before admission, were eligible for inclusion.

Interventions: Admission to intensive care.

Measurements and main results: A total of 237,904 patients were screened and 137,647 were included. Of these 5338 (3.9%) became prolonged users of high-potency benzodiazepines after ICU discharge. A peak in high-potency benzodiazepine prescriptions was observed during the first 3 months, followed by sustained usage throughout the follow-up period of 18 months. Prolonged usage was associated with older age, female sex, and a history of both somatic and psychiatric comorbidities, including substance abuse. Additionally, a longer ICU stay, a high estimated mortality rate, and prior consumption of low-potency benzodiazepines were associated with prolonged use. The risk of death between 6 and 18 months post-ICU admission was significantly higher among high-potency benzodiazepine users, with an adjusted hazard ratio of 1.8 (95% CI, 1.7-2.0; p < 0.001). No differences were noted in causes of death between users and nonusers.

Conclusions: Despite the lack of evidence supporting long-term treatment, prolonged usage of high-potency benzodiazepines 18 months following ICU care was notable and associated with an increased risk of death. Considering the substantial number of ICU admissions, prevention of benzodiazepine misuse may improve long-term outcomes following critical care.

Objective: ICU delirium commonly complicates critical illness associated with factors such as cardiopulmonary bypass (CPB) time and the requirement of mechanical ventilation (MV). Recent reports associate hyperoxia with poorer outcomes in critically ill children. This study sought to determine whether hyperoxia on CPB in pediatric patients was associated with a higher prevalence of postoperative delirium.

Design: Secondary analysis of data obtained from a prospective cohort study.

Setting: Twenty-two-bed pediatric cardiac ICU in a tertiary children's hospital.

Patients: All patients (18 yr old or older) admitted post-CPB, with documented delirium assessment scores using the Preschool/Pediatric Confusion Assessment Method for the ICU and who were enrolled in the Precision Medicine in Pediatric Cardiology Cohort from February 2021 to November 2021.

Interventions: None.

Measurements and main results: Of 148 patients, who underwent cardiac surgery, 35 had delirium within the first 72 hours (24%). There was no association between hyperoxia on CPB and postoperative delirium for all definitions of hyperoxia, including hyperoxic area under the curve above 5 predetermined Pao2 levels: 150 mm Hg (odds ratio [95% CI]: 1.176 [0.605-2.286], p = 0.633); 175 mm Hg (OR 1.177 [95% CI, 0.668-2.075], p = 0.572); 200 mm Hg (OR 1.235 [95% CI, 0.752-2.026], p = 0.405); 250 mm Hg (OR 1.204 [95% CI, 0.859-1.688], p = 0.281), 300 mm Hg (OR 1.178 [95% CI, 0.918-1.511], p = 0.199). In an additional exploratory analysis, comparing patients with delirium within 72 hours versus those without, only the z score for weight differed (mean [sd]: 0.09 [1.41] vs. -0.48 [1.82], p < 0.05). When comparing patients who developed delirium at any point during their ICU stay (n = 45, 30%), MV days, severity of illness (Pediatric Index of Mortality 3 Score) score, CPB time, and z score for weight were associated with delirium (p < 0.05).

Conclusions: Postoperative delirium (72 hr from CPB) occurred in 24% of pediatric patients. Hyperoxia, defined in multiple ways, was not associated with delirium. On exploratory analysis, nutritional status (z score for weight) may be a significant factor in delirium risk. Further delineation of risk factors for postoperative delirium versus ICU delirium warrants additional study.

Objectives: Our study aimed to assess the time to positivity (TTP) of clinically significant blood cultures in critically ill children admitted to the PICU.

Design: Retrospective review of positive blood cultures in patients admitted or transferred to the PICU.

Setting: Large tertiary-care medical center with over 90 PICU beds.

Patients: Patients 0-20 years old with bacteremia admitted or transferred to the PICU.

Interventions: None.

Measurements and main results: The primary endpoint was the TTP, defined as time from blood culture draw to initial Gram stain result. Secondary endpoints included percentage of cultures reported by elapsed time, as well as the impact of pathogen and host immune status on TTP. Host immune status was classified as previously healthy, standard risk, or immunocompromised. Linear regression for TTP was performed to account for age, blood volume, and Gram stain. Among 164 episodes of clinically significant bacteremia, the median TTP was 13.3 hours (interquartile range, 10.7-16.8 hr). Enterobacterales, Staphylococcus aureus, Streptococcus agalactiae, and Streptococcus pneumoniae were most commonly identified. By 12, 24, 36, and 48 hours, 37%, 89%, 95%, and 97% of positive cultures had resulted positive, respectively. Median TTP stratified by host immune status was 13.2 hours for previously healthy patients, 14.0 hours for those considered standard risk, and 10.6 hours for immunocompromised patients (p = 0.001). Median TTP was found to be independent of blood volume. No difference was seen in TTP for Gram-negative vs. Gram-positive organisms (12.2 vs. 13.9 hr; p = 0.2).

Conclusions: Among critically ill children, 95% of clinically significant blood cultures had an initial positive result within 36 hours, regardless of host immune status. Need for antimicrobial therapy should be frequently reassessed and implementation of a shorter duration of empiric antibiotics should be considered in patients with low suspicion for infection.

Objectives: Interhospital transfer of patients with acute respiratory failure (ARF) is relevant in the current landscape of critical care delivery. However, current transfer practices for patients with ARF are highly variable, poorly formalized, and lack evidence. We aim to synthesize the existing evidence, identify knowledge gaps, and highlight persisting questions related to interhospital transfer of patients with ARF.

Data sources: Ovid Medline, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Embase, CINAHL Plus, and American Psychological Association.

Study selection: We included studies that evaluated or described hospital transfers of adult (age > 18) patients with ARF between January 2020 and 2024 conducted in the United States. Using predetermined search terms and strategies, a total of 3369 articles were found across all databases. After deduplication, 1748 abstracts were screened by authors with 45 articles that advanced to full-text review. This yielded 16 studies that fit our inclusion criteria.

Data extraction: The studies were reviewed in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews by three authors.

Data synthesis: Included studies were mostly retrospective analyses of heterogeneous patients with various etiologies and severity of ARF. Overall, transferred patients were younger, had high severity of illness, and were more likely to have commercial insurance compared with nontransferred cohorts. There is a paucity of data examining why patients get transferred. Studies that retrospectively evaluated outcomes between transferred and nontransferred cohorts found no differences in mortality, although transferred patients have a longer length of stay. There is limited evidence to suggest that patients transferred early in their course have improved outcomes.

Conclusions: Our scoping review highlights the sparse evidence and the urgent need for further research into understanding the complexity behind ARF transfers. Future studies should focus on defining best practices to inform clinical decision-making and improve downstream outcomes.

Objectives: The temporal trends of crystalloid resuscitation in severely injured trauma patients after ICU admission are not well characterized. We hypothesized early crystalloid resuscitation was associated with less volume and better outcomes than delaying crystalloid.

Design: Retrospective, observational.

Setting: High-volume level 1 academic trauma center.

Patients: Adult trauma patients admitted to the ICU with emergency department serum lactate greater than or equal to 4 mmol/dL, elevated lactate (≥ 2 mmol/L) at ICU admission, and normal lactate by 48 hours.

Interventions: None.

Measurements and main results: For the 333 subjects, we analyzed patient and injury characteristics and the first 48 hours of ICU course. Receipt of greater than or equal to 500 mL/hr of crystalloid in the first 6 hours of ICU admission was used to distinguish early vs. late resuscitation. Outcomes included ICU length of stay (LOS), ventilator days, and acute kidney injury (AKI). Unadjusted and multivariable regression methods were used to compare early resuscitation vs. late resuscitation. Compared with the early resuscitation group, the late resuscitation group received more volume by 48 hours (5.5 vs. 4.1 L; p ≤ 0.001), had longer ICU LOS (9 vs. 5 d; p ≤ 0.001), more ventilator days (5 vs. 2 d; p ≤ 0.001), and higher occurrence rate of AKI (38% vs. 11%; p ≤ 0.001). On multivariable regression, late resuscitation remained associated with longer ICU LOS and ventilator days and higher odds of AKI.

Conclusions: Delaying resuscitation is associated with both higher volumes of crystalloid by 48 hours and worse outcomes compared with early resuscitation. Judicious crystalloid given early in ICU admission could improve outcomes in the severely injured.