Critical care explorations最新文献

Objectives: To determine the predictive value of social determinants of health (SDoH) variables on 30-day readmission following a sepsis hospitalization as compared with traditional clinical variables.

Design: Multicenter retrospective cohort study using patient-level data, including demographic, clinical, and survey data.

Settings: Thirty-five hospitals across the United States from 2017 to 2021.

Patients: Two hundred seventy-one thousand four hundred twenty-eight individuals in the AllofUs initiative, of which 8909 had an index sepsis hospitalization.

Interventions: None.

Measurements and main results: Unplanned 30-day readmission to the hospital. Multinomial logistic regression models were constructed to account for survival in determination of variables associate with 30-day readmission and are presented as adjusted odds rations (aORs). Of the 8909 sepsis patients in our cohort, 21% had an unplanned hospital readmission within 30 days. Median age (interquartile range) was 54 years (41-65 yr), 4762 (53.4%) were female, and there were self-reported 1612 (18.09%) Black, 2271 (25.49%) Hispanic, and 4642 (52.1%) White individuals. In multinomial logistic regression models accounting for survival, we identified that change to nonphysician provider type due to economic reasons (aOR, 2.55 [2.35-2.74]), delay of receiving medical care due to lack of transportation (aOR, 1.68 [1.62-1.74]), and inability to afford flow-up care (aOR, 1.59 [1.52-1.66]) were strongly and independently associated with a 30-day readmission when adjusting for survival. Patients who lived in a ZIP code with a high percentage of patients in poverty and without health insurance were also more likely to be readmitted within 30 days (aOR, 1.26 [1.22-1.29] and aOR, 1.28 [1.26-1.29], respectively). Finally, we found that having a primary care provider and health insurance were associated with low odds of an unplanned 30-day readmission.

Conclusions: In this multicenter retrospective cohort, several SDoH variables were strongly associated with unplanned 30-day readmission. Models predicting readmission following sepsis hospitalization may benefit from the addition of SDoH factors to traditional clinical variables.

Objectives: We planned to synthesize evidence examining the potential efficacy and safety of performing physical rehabilitation and/or mobilization (PR&M) in adult patients receiving extracorporeal life support (ECLS).

Data sources: We included any study that compared PR&M to no PR&M or among different PR&M strategies in adult patients receiving any ECLS for any indication and any cannulation. We searched seven electronic databases with no language limitations.

Study selection and data extraction: Two reviewers, independently and in duplicate, screened all citations for eligibility. We used the Cochrane Risk of Bias 2 and Cochrane Risk Of Bias In Non-randomized Studies of Interventions tools to assess individual study risk of bias. Although we had planned for meta-analysis, this was not possible due to insufficient data, so we used narrative and tabular data summaries for presenting results. We assessed the overall certainty of the evidence for each outcome using the Grading of Recommendations Assessment, Development, and Evaluation framework.

Data synthesis: We included 17 studies that enrolled 996 patients. Most studies examined venovenous extracorporeal membrane oxygenation (ECMO) and/or venoarterial ECMO as a bridge to recovery in the ICU. We found an uncertain effect of high-intensity/active PR&M on mortality, duration of mechanical ventilation, ICU length of stay, hospital length of stay, or quality of life compared with low-intensity/passive PR&M in patients receiving ECLS (very low certainty due to very serious imprecision). There was similarly an uncertain effect on safety events including clinically important bleeding, spontaneous intracerebral hemorrhage, limb ischemia, accidental decannulation, or ECLS circuit dysfunction (very low certainty due to very serious risk of bias and imprecision).

Conclusions: Based on the currently available summary of evidence, there is an uncertain effect of high-intensity/active PR&M on patient important outcomes or safety in patients receiving ECLS. Despite indirect data from other populations suggesting potential benefit of high-intensity PR&M in the ICU; further high-quality randomized trials evaluating the benefits and risks of physical therapy and/or mobilization in this population are needed.

Importance: A recent study showed an association between high hospital-level noninvasive positive pressure ventilation (NIPPV) use and in-hospital cardiac arrest (IHCA) in children with bronchiolitis.

Objectives: We aimed to determine if patient-level exposure to NIPPV in children with bronchiolitis was associated with IHCA.

Design, setting and participants: Retrospective cohort study at a single-center quaternary PICU in North America including children with International Classification of Diseases primary or secondary diagnoses of bronchiolitis in the Virtual Pediatric Systems database.

Main outcomes and measures: The primary exposure was NIPPV and the primary outcome was IHCA.

Measurements and main results: Of 4698 eligible ICU admissions with bronchiolitis diagnoses, IHCA occurred in 1.2% (57/4698). At IHCA onset, invasive mechanical ventilation (IMV) was the most frequent level of respiratory support (65%, 37/57), with 12% (7/57) receiving NIPPV. Patients with IHCA had higher Pediatric Risk of Mortality-III scores (3 [0-8] vs. 0 [0-2]; p < 0.001), more frequently had a complex chronic condition (94.7% vs. 46.2%; p < 0.001), and had higher mortality (21.1% vs. 1.0%; p < 0.001) compared with patients without IHCA. Return of spontaneous circulation (ROSC) was achieved in 93% (53/57) of IHCAs; 79% (45/57) survived to hospital discharge. All seven children without chronic medical conditions and with active bronchiolitis symptoms at the time of IHCA achieved ROSC, and 86% (6/7) survived to discharge. In multivariable analysis restricted to patients receiving NIPPV or IMV, NIPPV exposure was associated with lower odds of IHCA (adjusted odds ratio [aOR], 0.07; 95% CI, 0.03-0.18) compared with IMV. In secondary analysis evaluating categorical respiratory support in all patients, compared with IMV, NIPPV was associated with lower odds of IHCA (aOR, 0.35; 95% CI, 0.14-0.87), whereas no difference was found for minimal respiratory support (none/nasal cannula/humidified high-flow nasal cannula [aOR, 0.56; 95% CI, 0.23-1.36]).

Conclusions and relevance: Cardiac arrest in children with bronchiolitis is uncommon, occurring in 1.2% of bronchiolitis ICU admissions. NIPPV use in children with bronchiolitis was associated with lower odds of IHCA.

The COVID-19 pandemic caused tremendous disruption to the U.S. healthcare system and nearly crippled some hospitals during large patient surges. Limited ICU beds across the country further exacerbated these challenges. Telemedicine, specifically tele-critical care (TCC), can expand a hospital's clinical capabilities through remote expertise and increase capacity by offloading some monitoring to remote teams. Unfortunately, the rapid deployment of telemedicine, especially TCC, is constrained by multiple barriers. In the summer of 2020, to support the National Emergency Tele-Critical Care Network (NETCCN) deployment, more than 50 national leaders in applying telemedicine technologies to critical care assembled to provide their opinions about barriers to NETCCN implementation and strategies to overcome them. Through consensus, these experts developed white papers that formed the basis of this article. Herein, the authors share their experience and propose multiple solutions to barriers presented by laws, local policies and cultures, and individual perspectives according to a minimum, better, best paradigm for TCC delivery in the setting of a national disaster. Cross-state licensure and local privileging of virtual experts were identified as the most significant barriers to rapid deployment of services, whereas refining the model of TCC to achieve the best outcomes and defining the best financial model is the most significant for long-term success. Ultimately, we conclude that a rapidly deployable national telemedicine response system is achievable.

Objectives: Near-infrared spectroscopy (NIRS) is a potentially valuable modality to monitor the adequacy of oxygen delivery to the brain and other tissues in critically ill patients, but little is known about the physiologic determinants of NIRS-derived tissue oxygen saturations. The purpose of this study was to assess the contribution of routinely measured physiologic parameters to tissue oxygen saturation measured by NIRS.

Design: An observational sub-study of patients enrolled in the Role of Active Deresuscitation After Resuscitation-2 (RADAR-2) randomized feasibility trial.

Setting: Two ICUs in the United Kingdom.

Patients: Patients were recruited for the RADAR-2 study, which compared a conservative approach to fluid therapy and deresuscitation with usual care. Those included in this sub-study underwent continuous NIRS monitoring of cerebral oxygen saturations (SctO2) and quadriceps muscle tissue saturations (SmtO2).

Intervention: Synchronized and continuous mean arterial pressure (MAP), heart rate (HR), and pulse oximetry (oxygen saturation, Spo2) measurements were recorded alongside NIRS data. Arterial Paco2, Pao2, and hemoglobin concentration were recorded 12 hourly. Linear mixed effect models were used to investigate the association between these physiologic variables and cerebral and muscle tissue oxygen saturations.

Measurements and main results: Sixty-six patients were included in the analysis. Linear mixed models demonstrated that Paco2, Spo2, MAP, and HR were weakly associated with SctO2 but only explained 7.1% of the total variation. Spo2 and MAP were associated with SmtO2, but together only explained 0.8% of its total variation. The remaining variability was predominantly accounted for by between-subject differences.

Conclusions: Our findings demonstrated that only a small proportion of variability in NIRS-derived cerebral and tissue oximetry measurements could be explained by routinely measured physiologic variables. We conclude that for NIRS to be a useful monitoring modality in critical care, considerable further research is required to understand physiologic determinants and prognostic significance.

Objectives: To determine the impact of telementoring on caregiver performance during a high-fidelity medical simulation model (HFMSM) of a critically ill patient in a resource-limited setting.

Design: A two-center, randomized, controlled study using a HFMSM of a patient with community-acquired pneumonia complicated by acute respiratory distress syndrome.

Setting: A notional clinic in a remote location staffed by a single clinician and nonmedical assistant.

Participants: Clinicians with limited experience managing critically ill patients.

Interventions: Telemedicine (TM) support.

Measurements: The primary outcome was clinical performance as measured by accuracy, reliability, and efficiency of care. Secondary outcomes were patient survival, procedural quality, subjective assessment of the HFMSM, and perceived workload.

Main results: TM participants (N = 11) performed better than non-TM (NTM, N = 12) in providing expected care (accuracy), delivering care more consistently (reliability), and without consistent differences in efficiency (timeliness of care). Accuracy: TM completed 91% and NTM 42% of expected tasks and procedures. Efficiency: groups did not differ in the mean (± sd) minutes it took to obtain an advanced airway successfully (TM 15.2 ± 10.5 vs. NTM 22.8 ± 8.4, p = 0.10) or decompress a tension pneumothorax with a needle (TM 0.7 ± 0.5 vs. NTM 0.6 ± 0.9, p = 0.65). TM was slower than NTM in completing thoracostomy (22.3 ± 10.2 vs. 12.3 ± 4.8, p = 0.03). Reliability: TM performed 13 of 17 (76%) tasks with more consistent timing than NTM. TM completed 68% and NTM 29% of procedural quality metrics. Eighty-two percent of the TM participants versus 17% of the NTM participants simulated patients survived (p = 0.003). The groups similarly perceived the HFMSM as realistic, managed their patients with personal ownership, and experienced comparable workload and stress.

Conclusions: Remote expertise provided with TM to caregivers in resource-limited settings improves caregiver performance, quality of care, and potentially real patient survival. HFMSM can be used to study interventions in ways not possible with real patients.

Importance: Patients admitted with cerebral hemorrhage or cerebral edema often undergo external ventricular drain (EVD) placement to monitor and manage intracranial pressure (ICP). A strain gauge transducer accompanies the EVD to convert a pressure signal to an electrical waveform and assign a numeric value to the ICP.

Objectives: This study explored ICP accuracy in the presence of blood and other viscous fluid contaminates in the transducer.

Design: Preclinical comparative design study.

Setting: Laboratory setting using two Natus EVDs, two strain gauge transducers, and a sealed pressure chamber.

Participants: No human subjects or animal models were used.

Interventions: A control transducer primed with saline was compared with an investigational transducer primed with blood or with saline/glycerol mixtures in mass:mass ratios of 25%, 50%, 75%, and 100% glycerol. Volume in a sealed chamber was manipulated to reflect changes in ICP to explore the impact of contaminates on pressure measurement.

Measurements and main results: From 90 paired observations, ICP readings were statistically significantly different between the control (saline) and experimental (glycerol or blood) transducers. The time to a stable pressure reading was significantly different for saline vs. 25% glycerol (< 0.0005), 50% glycerol (< 0.005), 75% glycerol (< 0.0001), 100% glycerol (< 0.0005), and blood (< 0.0005). A difference in resting stable pressure was observed for saline vs. blood primed transducers (0.041).

Conclusions and relevance: There are statistically significant and clinically relevant differences in time to a stable pressure reading when contaminates are introduced into a closed drainage system. Changing a transducer based on the presence of blood contaminate should be considered to improve accuracy but must be weighed against the risk of introducing infection.

Importance: To explore the correlation between cortisol levels during first admission day and clinical outcomes.

Objectives: Although most patients exhibit a surge in cortisol levels in response to stress, some suffer from critical illness-related corticosteroid insufficiency (CIRCI). Literature remains inconclusive as to which of these patients are at greater risk of poor outcomes.

Design: A retrospective study.

Setting: A surgical ICU (SICU) in a tertiary medical center.

Participants: Critically ill patients admitted to the SICU who were not treated with steroids.

Main outcomes and measures: Levels of cortisol taken within 24 hours of admission (day 1 [D1] cortisol) in 1412 eligible patients were collected and analyzed. Results were categorized into four groups: low (0-10 µg/dL), normal (10-25 µg/dL), high (25-50 µg/dL), and very high (above 50 µg/dL) cortisol levels. Primary endpoint was 90-day mortality. Secondary endpoints were the need for organ support (use of vasopressors and mechanical ventilation [MV]), ICU length of stay (LOS), and duration of MV.

Results: The majority of patients (63%) had high or very high D1 cortisol levels, whereas 7.6% had low levels and thus could be diagnosed with CIRCI. There were statistically significant differences in 90-day mortality between the four groups and very high levels were found to be an independent risk factor for mortality, primarily in patients with Sequential Organ Failure Assessment (SOFA) less than or equal to 3 or SOFA greater than or equal to 7. Higher cortisol levels were associated with all secondary endpoints. CIRCI was associated with favorable outcomes.

Conclusions and relevance: In critically ill surgical patients D1 cortisol levels above 50 mcg/dL were associated with mortality, need for organ support, longer ICU LOS, and duration of MV, whereas low levels correlated with good clinical outcomes even though untreated. D1 cortisol level greater than 50 mcg/dL can help discriminate nonsurvivors from survivors when SOFA less than or equal to 3 or SOFA greater than or equal to 7.

Importance: Patients presenting to the emergency department (ED) with hypoxemia often have mixed or uncertain causes of respiratory failure. The optimal treatment for such patients is unclear. Both high-flow nasal cannula (HFNC) and noninvasive ventilation (NIV) are used.

Objectives: We sought to compare the effectiveness of initial treatment with HFNC versus NIV for acute hypoxemic respiratory failure.

Design setting and participants: We conducted a retrospective cohort study of patients with acute hypoxemic respiratory failure treated with HFNC or NIV within 24 hours of arrival to the University of Michigan adult ED from January 2018 to December 2022. We matched patients 1:1 using a propensity score for odds of receiving NIV.

Main outcomes and measures: The primary outcome was major adverse pulmonary events (28-d mortality, ventilator-free days, noninvasive respiratory support hours) calculated using a win ratio.

Results: A total of 1154 patients were included. Seven hundred twenty-six (62.9%) received HFNC and 428 (37.1%) received NIV. We propensity score matched 668 of 1154 (57.9%) patients. Patients on NIV versus HFNC had lower 28-day mortality (16.5% vs. 23.4%, p = 0.033) and required noninvasive treatment for fewer hours (median 7.5 vs. 13.5, p < 0.001), but had no difference in ventilator-free days (median [interquartile range]: 28 [26, 28] vs. 28 [10.5, 28], p = 0.199). Win ratio for composite major adverse pulmonary events favored NIV (1.38; 95% CI, 1.15-1.65; p < 0.001).

Conclusions and relevance: In this observational study of patients with acute hypoxemic respiratory failure, initial treatment with NIV compared with HFNC was associated with lower mortality and fewer composite major pulmonary adverse events calculated using a win ratio. These findings underscore the need for randomized controlled trials to further understand the impact of noninvasive respiratory support strategies.

Objectives: Acute kidney injury requiring dialysis (AKI-D) commonly occurs in the setting of multiple organ dysfunction syndrome (MODS). Continuous renal replacement therapy (CRRT) is the modality of choice for AKI-D. Mid-term outcomes of pediatric AKI-D supported with CRRT are unknown. We aimed to describe the pattern and impact of organ dysfunction on renal outcomes in critically ill children and young adults with AKI-D.

Design: Retrospective cohort.

Setting: Two large quarternary care pediatric hospitals.

Patients: Patients 26 y old or younger who received CRRT from 2014 to 2020, excluding patients with chronic kidney disease.

Interventions: None.

Measurements and main results: Organ dysfunction was assessed using the Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score. MODS was defined as greater than or equal to two organ dysfunctions. The primary outcome was major adverse kidney events at 30 days (MAKE30) (decrease in estimated glomerular filtration rate greater than or equal to 25% from baseline, need for renal replacement therapy, and death). Three hundred seventy-three patients, 50% female, with a median age of 84 mo (interquartile range [IQR] 16-172) were analyzed. PELOD-2 increased from 6 (IQR 3-9) to 9 (IQR 7-12) between ICU admission and CRRT initiation. Ninety-seven percent of patients developed MODS at CRRT start and 266 patients (71%) had MAKE30. Acute kidney injury (adjusted odds ratio [aOR] 3.55 [IQR 2.13-5.90]), neurologic (aOR 2.07 [IQR 1.15-3.74]), hematologic/oncologic dysfunction (aOR 2.27 [IQR 1.32-3.91]) at CRRT start, and progressive MODS (aOR 1.11 [IQR 1.03-1.19]) were independently associated with MAKE30.

Conclusions: Ninety percent of critically ill children and young adults with AKI-D develop MODS by the start of CRRT. Lack of renal recovery is associated with specific extrarenal organ dysfunction and progressive multiple organ dysfunction. Currently available extrarenal organ support strategies, such as therapeutic plasma exchange lung-protective ventilation, and other modifiable risk factors, should be incorporated into clinical trial design when investigating renal recovery.