Critical Care Explorations最新文献

Capacity planning of ICUs is essential for effective management of health safety, quality of patient care, and the allocation of ICU resources. Whereas ICU length of stay (LOS) may be estimated using patient information such as severity of illness scoring systems, ICU census is impacted by both patient LOS and arrival patterns. We set out to develop and evaluate an ICU census forecasting algorithm using the Multiple Organ Dysfunction Score (MODS) and the Nine Equivalents of Nursing Manpower Use Score (NEMS) for capacity planning purposes.

Design: Retrospective observational study.

Setting: We developed the algorithm using data from the Medical-Surgical ICU (MSICU) at University Hospital, London, Canada and validated using data from the Critical Care Trauma Centre (CCTC) at Victoria Hospital, London, Canada.

Patients: Adult patient admissions (7,434) to the MSICU and (9,075) to the CCTC from 2015 to 2021.

Interventions: None.

Measurements and main results: We developed an Autoregressive integrated moving average time series model that forecasts patients arriving in the ICU and a survival model using MODS, NEMS, and other factors to estimate patient LOS. The models were combined to create an algorithm that forecasts ICU census for planning horizons ranging from 1 to 7 days. We evaluated the algorithm quality using several fit metrics. The root mean squared error ranged from 2.055 to 2.890 beds/d and the mean absolute percentage error from 9.4% to 13.2%. We show that this forecasting algorithm provides a better fit when compared with a moving average or a time series model that directly forecasts ICU census. Additionally, we evaluated the performance of the algorithm using data during the global COVID-19 pandemic and found that the error of the forecasts increased proportionally with the number of COVID-19 patients in the ICU.

Conclusions: It is possible to develop accurate tools to forecast ICU census. This type of algorithm may be important to clinicians and managers when planning ICU capacity as well as staffing and surgical demand planning over a short time horizon.

Opioids are the mainstay of pain management and sedation in critically ill patients, which can lead to the development of physiologic tolerance and dependency. The prevalence of iatrogenic opioid withdrawal syndrome (IWS) is reported as 17-32% in the ICU; however, limited evidence exists for the medical ICU patient population.

Objectives: To identify the and risk factors for IWS in adult patients admitted to critical care medicine services who received greater than or equal to 24 hours of continuous opioid infusion therapy.

Design setting and participants: A prospective, observational study was conducted in a tertiary care hospital in adult medical ICU patients. Ninety-two patients who received greater than or equal to 24 hours of continuous opioid infusions were included in the study.

Main outcomes and measurements: Patients were assessed daily after opioid infusion discontinuation using the Clinical Opiate Withdrawal Scale (COWS) and the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) opioid withdrawal criteria for a maximum of 5 days. The primary outcome was the prevalence of IWS of moderate severity or greater using COWS. Secondary outcomes included the prevalence of IWS diagnosis of any severity based on COWS, the prevalence of IWS diagnosis based on a positive DSM-V score, and the identification of potential risk factors for developing IWS of any severity.

Results: Four hundred forty-seven patients received greater than or equal to 24 hours of continuous opioid therapy. Of these, 385 were excluded, leaving 92 patients included in the final analysis. Except for a higher prevalence of psychiatric history in the IWS-positive group, baseline characteristics were similar. Overall, 11 patients (12%) developed IWS of moderate severity or greater, based on COWS. The IWS-positive group also had longer durations of opioid infusions, higher cumulative opioid infusion doses, higher mean daily doses, and higher infusion rates at any given time. The concomitant use of dexmedetomidine (38.3 vs 15.6%, p = 0.014) and benzodiazepines (63.8 vs 37.8%, p = 0.021) during or after the opioid infusion were significantly higher in the IWS-positive group compared with the IWS-negative group. No significant differences were found between the two groups for scheduled or as needed opioids after cessation of the opioid infusion. Continuous opioid infusions greater than or equal to 72 hours and total daily dose greater than or equal to 1,200 μg were found to be independent predictors for the development of iatrogenic opioid withdrawal via logistic regression.

Conclusions and relevance: Approximately one in every eight patients receiving continuous infusion opioid for greater than 24 hours while mechanically ventilated in the medical ICU will develop IWS of moderate severity or greater; this increases to one in three patients

Screening for cognitive impairment following ICU discharge is recommended but not part of routine care. We sought to understand older adults' perspectives on screening for cognitive impairment following an ICU admission to inform the design and delivery of a cognitive screening intervention.

Design: Qualitative study using semi-structured interviews.

Subjects: Adults 60 years and older within 3 months of discharge from an ICU in an academic health system.

Interventions: Interviews were conducted via telephone, audio recorded and transcribed verbatim. All transcripts were coded in duplicate. Discrepancies were resolved by consensus. Codes were organized into themes and subthemes inductively.

Measurements and main results: We completed 22 interviews. The mean age of participants was 71 ± 6 years, 14 (63.6%) were men, 16 (72.7%) were White, and 6 (27.3%) were Black. Thematic analysis was organized around four themes: 1) receptivity to screening, 2) communication preferences, 3) information needs, and 4) provider involvement. Most participants were receptive to cognitive screening; this was influenced by trust in their providers and prior experience with cognitive screening and impairment. Participants preferred simple, direct, compassionate communication. They wanted to understand the screening procedure, the rationale for screening, and expectations for recovery. Participants desired input from their primary care provider to have their cognitive screening results placed in the context of their overall health, because they had a trusted relationship, and for convenience.

Conclusions: Participants demonstrated limited understanding of and exposure to cognitive screening but see it as potentially beneficial following an ICU stay. Providers should use simple, straightforward language and place emphasis on expectations. Resources may be needed to assist primary care providers with capacity to provide cognitive screening and interpret results for ICU survivors. Implementation strategies can include educational materials for clinicians and patients on rationale for screening and recovery expectations.

To examine the association between three perioperative urine biomarker concentrations (urine cystatin C [uCysC], urine neutrophil gelatinase-associated lipocalin [uNGAL], and urine kidney injury molecule 1 [uKIM-1]), and cardiac surgery-associated acute kidney injury (CS-AKI) and fluid overload (FO) in infants with congenital heart disease undergoing surgery on cardiopulmonary bypass. To explore how urine biomarkers are associated with distinct CS-AKI phenotypes based on FO status.

Design: Ancillary prospective cohort study.

Setting: Single U.S. pediatric cardiac ICU.

Patients: Infants less than 1 year old enrolled in the Steroids to Reduce Systemic Inflammation after Infant Heart Surgery trial (NCT03229538) who underwent heart surgery from June 2019 to May 2020 and opted into biomarker collection at a single center. Infants with preoperative CS-AKI were excluded.

Interventions: None.

Measurements and main results: Forty infants met inclusion criteria. Median (interquartile) age at surgery was 103 days (5.5-161 d). Modified Kidney Disease Improving Global Outcomes-defined CS-AKI was diagnosed in 22 (55%) infants and 21 (53%) developed FO. UCysC and uNGAL peaked in the early postoperative period and uKIM-1 peaked later. In unadjusted analysis, bypass time was longer, and Vasoactive-Inotropic Score at 24 hours was higher in infants with CS-AKI. On multivariable analysis, higher uCysC (odds ratio [OR], 1.023; 95% CI, 1.004-1.042) and uNGAL (OR, 1.019; 95% CI, 1.004-1.035) at 0-8 hours post-bypass were associated with FO. UCysC, uNGAL, and uKIM-1 did not significantly correlate with CS-AKI. In exploratory analyses of CS-AKI phenotypes, uCysC and uNGAL were highest in CS-AKI+/FO+ infants.

Conclusions: In this study, uCysC and uNGAL in the early postoperative period were associated with FO at 48 hours. UCysC, uNGAL, and uKIM-1 were not associated with CS-AKI. Further studies should focus on defining expected concentrations of these biomarkers, exploring CS-AKI phenotypes and outcomes, and establishing clinically meaningful endpoints for infants post-cardiac surgery.

The 2020 pediatric Surviving Sepsis Campaign (pSSC) recommends measuring lactate during the first hour of resuscitation for severe sepsis/shock. We aimed to improve compliance with this recommendation for patients who develop severe sepsis/shock while admitted to the PICU.

Design: Structured, quality improvement initiative.

Setting: Single-center, 26-bed, quaternary-care PICU.

Patients: All patients with PICU-onset severe sepsis/shock from December 2018 to December 2021.

Interventions: Creation of a multidisciplinary local sepsis improvement team, education program targeting frontline providers (nurse practitioners, resident physicians), and peer-to-peer nursing education program with feedback to key stakeholders.

Measurements and main results: The primary outcome measure was compliance with obtaining a lactate measurement within 60 minutes of the onset of severe sepsis/shock originating in our PICU using a local Improving Pediatric Sepsis Outcomes database and definitions. The process measure was time to first lactate measurement. Secondary outcomes included number of IV antibiotic days, number of vasoactive days, number of ICU days, and number of ventilator days. A total of 166 unique PICU-onset severe sepsis/shock events and 156 unique patients were included. One year after implementation of our first interventions with subsequent Plan-Do-Study-Act cycles, overall compliance increased from 38% to 47% (24% improvement) and time to first lactate decreased from 175 to 94 minutes (46% improvement). Using a statistical process control I chart, the preshift mean for time to first lactate measurement was noted to be 179 minutes and the postshift mean was noted to be 81 minutes demonstrating a 55% improvement.

Conclusions: This multidisciplinary approach led to improvement in time to first lactate measurement, an important step toward attaining our target of lactate measurement within 60 minutes of septic shock identification. Improving compliance is necessary for understanding implications of the 2020 pSSC guidelines on sepsis morbidity and mortality.

Therapeutic plasma exchange (TPE) has been shown to improve organ dysfunction and survival in patients with thrombotic microangiopathy and thrombocytopenia associated with multiple organ failure. There are no known therapies for the prevention of major adverse kidney events after continuous kidney replacement therapy (CKRT). The primary objective of this study was to evaluate the effect of TPE on the rate of adverse kidney events in children and young adults with thrombocytopenia at the time of CKRT initiation.

Design: Retrospective cohort.

Setting: Two large quaternary care pediatric hospitals.

Patients: All patients less than or equal to 26 years old who received CKRT between 2014 and 2020.

Interventions: None.

Measurements and main results: We defined thrombocytopenia as a platelet count less than or equal to 100,000 (cell/mm³) at the time of CKRT initiation. We ascertained major adverse kidney events at 90 days (MAKE90) after CKRT initiation as the composite of death, need for kidney replacement therapy, or a greater than or equal to 25% decline in estimated glomerular filtration rate from baseline. We performed multivariable logistic regression and propensity score weighting to analyze the relationship between the use of TPE and MAKE90. After excluding patients with a diagnosis of thrombotic thrombocytopenia purpura and atypical hemolytic uremic syndrome (n = 6) and with thrombocytopenia due to a chronic illness (n = 2), 284 of 413 total patients (68.8%) had thrombocytopenia at CKRT initiation (51% female). Of the patients with thrombocytopenia, the median (interquartile range) age was 69 months (13-128 mo). MAKE90 occurred in 69.0% and 41.5% received TPE. The use of TPE was independently associated with reduced MAKE90 by multivariable analysis (odds ratio [OR], 0.35; 95% CI, 0.20-0.60) and by propensity score weighting (adjusted OR, 0.31; 95% CI, 0.16-0.59).

Conclusions: Thrombocytopenia is common in children and young adults at CKRT initiation and is associated with increased MAKE90. In this subset of patients, our data show benefit of TPE in reducing the rate of MAKE90.

The COVID-19 pandemic led to rapid changes in care delivery for critically ill patients, due to factors including increased numbers of ICU patients, shifting staff roles, and changed care locations. As these changes may have impacted the care of patients without COVID-19, we assessed changes in common ICU practices for mechanically ventilated patients with non-COVID acute respiratory failure at the onset of and during the COVID-19 pandemic.

Design: Interrupted time series analysis, adjusted for seasonality and autocorrelation where present, evaluating trends in common ICU practices prior to the pandemic (March 2016 to February 2020), at the onset of the pandemic (April 2020) and intra-pandemic (April 2020 to December 2020).

Setting: Premier Healthcare Database, containing data from 25% of U.S. discharges from January 1, 2016, to December 31, 2020.

Patients: Patients without COVID-19 receiving mechanical ventilation for acute respiratory failure.

Interventions: We assessed monthly rates of chest radiograph (CXR), chest CT scans, lower extremity noninvasive vascular testing (LENI), bronchoscopy, arterial catheters, and central venous catheters.

Measurements and main results: We identified 742,096 mechanically ventilated patients without COVID-19 at 545 hospitals. At the onset of the pandemic, CXR (-0.5% [-0.9% to -0.2%; p = 0.001]), LENI (LENI: -2.1% [-3.3% to -0.9%; p = 0.001]), and bronchoscopy rates (-1.0% [-1.5% to -0.6%; p < 0.001]) decreased; use of chest CT increased (1.5% [0.5-2.5%; p = 0.006]). Use of arterial lines and central venous catheters did not change significantly. Intra-pandemic, LENI (0.5% [0.3-0.7%; p < 0.001]/mo) and bronchoscopy (0.1% [0.05-0.2%; p < 0.001]/mo) trends increased relative to pre-pandemic trends, while the remainder of practices did not change significantly.

Conclusions: We observed several statistically significant changes to practice patterns among patients without COVID-19 early during the pandemic. However, most of the changes were small or temporary, suggesting that routine practices in the care of mechanically ventilated patients in the ICU was not drastically affected by the pandemic.

Previous findings suggest that bacterial coinfections are less common in ICU patients with COVID-19 than with influenza, but evidence is limited.

Objectives: This study aimed to compare the rate of early bacterial coinfections in ICU patients with COVID-19 or influenza.

Design setting and participants: Retrospective propensity score matched cohort study. We included patients admitted to ICUs of a single academic center with COVID-19 or influenza (January 2015 to April 2022).

Main outcomes and measures: The primary outcome was early bacterial coinfection (i.e., positive blood or respiratory culture within 2 d of ICU admission) in the propensity score matched cohort. Key secondary outcomes included frequency of early microbiological testing, antibiotic use, and 30-day all-cause mortality.

Results: Out of 289 patients with COVID-19 and 39 patients with influenza, 117 (n = 78 vs 39) were included in the matched analysis. In the matched cohort, the rate of early bacterial coinfections was similar between COVID-19 and influenza (18/78 [23%] vs 8/39 [21%]; odds ratio, 1.16; 95% CI, 0.42-3.45; p = 0.82). The frequency of early microbiological testing and antibiotic use was similar between the two groups. Within the overall COVID-19 group, early bacterial coinfections were associated with a statistically significant increase in 30-day all-cause mortality (21/68 [30.9%] vs 40/221 [18.1%]; hazard ratio, 1.84; 95% CI, 1.01-3.32).

Conclusions and relevance: Our data suggest similar rates of early bacterial coinfections in ICU patients with COVID-19 and influenza. In addition, early bacterial coinfections were significantly associated with an increased 30-day mortality in patients with COVID-19.

The use of arterial catheters is frequent in intensive care for hemodynamic monitoring of patients and for blood sampling, but they are often removed because of dysfunction. The primary objective is to compare the prevalence of radial arterial catheter dysfunction according to location in relation to the radiocarpal joint in intensive care patients.

Design: Prospective randomized, controlled, single-center study.

Setting: The surgical ICU of the university hospital of Poitiers in France.

Patients: From January 2016 to April 2017, all patients over 18 years old admitted to the surgical ICU and requiring an arterial catheter were included.

Interventions: Randomization into two groups: catheter placed near the wrist (within 4 cm of the radiocarpal joint) and catheter placed away the wrist. The primary endpoint was the prevalence of dysfunction. We also compared the prevalence of infection and colonization.

Measurements and main results: One hundred seven catheters were analyzed (14 failed placements with no difference between the two groups, and 16 catheters excluded for missing data), with 58 catheters in near the wrist group and 49 in away the wrist group. We did not find any significant difference in the number of catheter dysfunctions between the two groups (p = 0.56). The prevalence density of catheter dysfunction was 30.5 of 1,000 catheter days for near the wrist group versus 26.7 of 1,000 catheter days for away the wrist group. However, we observed a significant difference in terms of catheter-related infection in favor of away the wrist group (p = 0.04). In addition, distal positioning of the catheter was judged easier by the physicians.

Conclusions: The distal or proximal position of the arterial catheter in the radial position has no influence on the occurrence of dysfunction. However, there may be an association with the prevalence of infections.

In COVID-19 patients requiring extracorporeal membrane oxygenation (ECMO), our primary objective was to determine the frequency of intracranial hemorrhage (ICH). Secondary objectives were to estimate the frequency of ischemic stroke, to explore association between higher anticoagulation targets and ICH, and to estimate the association between neurologic complications and in-hospital mortality.

Data sources: We searched MEDLINE, Embase, PsycINFO, Cochrane, and MedRxiv databases from inception to March 15, 2022.

Study selection: We identified studies that described acute neurological complications in adult patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection requiring ECMO.

Data extraction: Two authors independently performed study selection and data extraction. Studies with 95% or more of its patients on venovenous or venoarterial ECMO were pooled for meta-analysis, which was calculated using a random-effects model.

Data synthesis: Fifty-four studies (n = 3,347) were included in the systematic review. Venovenous ECMO was used in 97% of patients. Meta-analysis of ICH and ischemic stroke on venovenous ECMO included 18 and 11 studies, respectively. The frequency of ICH was 11% (95% CI, 8-15%), with intraparenchymal hemorrhage being the most common subtype (73%), while the frequency of ischemic strokes was 2% (95% CI, 1-3%). Higher anticoagulation targets were not associated with increased frequency of ICH (p = 0.06). In-hospital mortality was 37% (95% CI, 34-40%) and neurologic causes ranked as the third most common cause of death. The risk ratio of mortality in COVID-19 patients with neurologic complications on venovenous ECMO compared with patients without neurologic complications was 2.24 (95% CI, 1.46-3.46). There were insufficient studies for meta-analysis of COVID-19 patients on venoarterial ECMO.

Conclusions: COVID-19 patients requiring venovenous ECMO have a high frequency of ICH, and the development of neurologic complications more than doubled the risk of death. Healthcare providers should be aware of these increased risks and maintain a high index of suspicion for ICH.