Journal of Intensive Care Medicine最新文献

There are discrepancies in resources and expertise available between pediatric intensive care units (PICUs) in Brazil that likely significantly impact the clinical outcomes of patients. The goal of this study was to evaluate the impact of telemedicine rounding support in two public PICUs located in the North and Northeast regions of Brazil. Our intervention involves telehealth rounds connecting two "level II" PICUs with specialist doctors from a hospital of recognized excellence. A before-and-after study was carried out to evaluate telemedicine's impact on PICUs between December 2018 and July 2019. Nine hundred and forty patients were evaluated during this period (426 pre-telemedicine, 514 post-telemedicine). The intervention occurred through telerounds between the command center and the ICUs assisted by telemedicine. In unit A, the implementation of telemedicine reduced the mortality rate from 18.86% to 9.29%, while in unit B, it decreased from 10.76% to 9.72%. There was no change in the median length of stay in unit A, but in unit B, it increased from 6 to 8 days. Logistic regression analysis confirmed a significant reduction in mortality in unit A (odds ratio (OR) 0.50; 95% confidence interval (CI) 0.29-0.86). The study found a positive correlation between adherence to telemedicine recommendations and mortality reduction across both units. This suggests that telemedicine can effectively improve outcomes in PICUs, particularly in regions with limited health-care resources.

Background: Patients with end-stage liver disease (ESLD) often require Intensive Care Unit (ICU) admission during the disease trajectory, but aggressive medical treatment has not resulted in increased quality of life for patients or caregivers. Methods: This narrative review synthesizes relevant data thematically exploring the current state of serious illness communication in the ICU with identification of barriers and potential strategies to improve performance. We provide a conceptual model underscoring the importance of providing comprehensible disease and prognosis knowledge, eliciting patient values and aligning these values with available goals of care options through a series of discussions. Achieving effective serious illness communication supports the delivery of goal concordant care (care aligned with the patient's stated values) and improved quality of life. Results: General barriers to effective serious illness communication include lack of outpatient serious illness communication discussions; formalized provider training, literacy and culturally appropriate patient-directed serious illness communication tools; and unoptimized electronic health records. ESLD-specific barriers to effective serious illness communication include stigma, discussing the uncertainty of prognosis and provider discomfort with serious illness communication. Evidence-based strategies to address general barriers include using the Ask-Tell-Ask communication framework; clinician training to discuss patients' goals and expectations; PREPARE for Your Care literacy and culturally appropriate written and online tools for patients, caregivers, and clinicians; and standardization of documentation in the electronic health record. Evidence-based strategies to address ESLD-specific barriers include practicing with empathy; using the "Best-Case, Worst Case" prognostic framework; and developing interdisciplinary solutions in the ICU. Conclusion: Improving clinician training, providing patients and caregivers easy-to-understand communication tools, standardizing EHR documentation, and improving interdisciplinary communication, including palliative care, may increase goal concordant care and quality of life for critically ill patients with ESLD.

Background: To develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).

Methods: This retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ICU admission. Demographic, clinical, and laboratory parameters were extracted from Medical Information Mart for Intensive Care III (MIMIC-III) database. Feature selection was performed using the Boruta algorithm, followed by the construction of seven ML models: logistic regression, Naive Bayes, k-nearest neighbor, support vector machine, decision tree, Random Forest, and extreme gradient boosting. Model performance was evaluated using the area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value.

Results: The study identified 24 variables significantly associated with mortality. The optimal ML model, a Random Forest model, demonstrated an AUC of 0.8015 in the test set, with high accuracy and specificity. The model highlighted the importance of blood urea nitrogen, age, urine output, Simplified Acute Physiology Score II, and albumin levels in predicting mortality.

Conclusions: The model's superior predictive performance underscores the potential for integrating advanced analytics into clinical decision-making processes, potentially improving patient outcomes and resource allocation in critical care settings.

Objective: To evaluate the difference in proportion of patients receiving antimicrobials within one hour of sepsis recognition at sepsis-related Medical Emergency Team (MET) calls, without or with a sepsis-credentialed pharmacist. Design: Retrospective pre and post-intervention study. Setting: Single centre tertiary referral hospital. Participants: Patients admitted to the General Medicine Unit who had a sepsis-related MET call 24 hrs per day, and all other units from 17:00-08:00 hrs from August 2019 to Jan 2020 in the pre-intervention cohort and Aug 2020 to Jan 2021 for the post-intervention cohort. Interventions: Pharmacists attended MET calls to assist selection of antimicrobials, collaboratively prescribe with the medical officers, ensure supply, provide advice on dosing calculations, reconstitution, and administration. The pre-intervention cohort (Aug 2019-Jan 2020) did not have credentialed pharmacists' involvement at MET calls. Outcome Measures: Proportion of patients who received antimicrobials within one hours of MET call. Results: There were 97 sepsis-related MET calls in the pre-intervention cohort and 110 sepsis-related MET calls in the post-intervention cohort. A significantly higher proportion of patients received antimicrobials within one hour with pharmacist involvement, compared to control (81.3% vs 59.7%, P = .0006). A reduction in median time to antimicrobial administration (43 min vs 54 min, P = .017) was observed. Conclusion: Sepsis-related MET calls with pharmacist involvement experienced a greater proportion of patients receiving antimicrobials within one hour of sepsis recognition, and a reduction in median time to antimicrobial administration. These results provide support for routine pharmacist involvement at MET calls to assist patients receiving medications in a timely and efficient manner.

Background: The combination of vancomycin and piperacillin-tazobactam (VPT) has been associated with acute kidney injury (AKI) in hospitalized patients when compared to similar combinations. Additional studies examining this nephrotoxic risk in critically ill patients have not consistently demonstrated the aforementioned association. Furthermore, patients with baseline renal dysfunction have been excluded from almost all of these studies, creating a need to examine the risk in this patient population. Methods: This was a retrospective cohort analysis of critically ill adults with baseline chronic kidney disease (CKD) who received vancomycin plus an anti-pseudomonal beta-lactam at Emory University Hospital. The primary outcome was incidence of AKI. Secondary outcomes included stage of AKI, time to development of AKI, time to return to baseline renal function, new requirement for renal replacement therapy, intensive care unit and hospital length of stay, and in-hospital mortality. Results: A total of 109 patients were included. There was no difference observed in the primary outcome between the VPT (50%) and comparator (58%) group (P = .4), stage 2 or 3 AKI (15.9% vs 6%; P = .98), time to AKI development (1.7 vs 2 days; P = .5), time to return to baseline renal function (4 vs 3 days; P = .2), new requirement for RRT (4.5% vs 1.5%; P = .3), ICU length of stay (7.3 vs 7.4 days; P = .9), hospital length of stay (19.3 vs 20.1 days; P = .87), or in-hospital mortality (15.9% vs 10.8%; P = .4). A significant difference was observed in the duration of antibiotic exposure (3.32 vs 2.62 days; P = .045 days). Conclusion: VPT was not associated with an increased risk of AKI or adverse renal outcomes. Our findings suggest that the use of this antibiotic combination should not be avoided in this patient population. More robust prospective studies are warranted to confirm these findings.

Objective: This study aimed to evaluate the effect of continuous control cuff pressure (CCCP) versus intermittent control cuff pressure (ICCP) for the prevention of ventilator-associated pneumonia (VAP) in critically ill patients.

Methods: Relevant literature was searched in several databases, including PubMed, Embase, Web of Science, ProQuest, the Cochrane Library, Wanfang Database and China National Knowledge Infrastructure between inception and September 2022. Randomized controlled trials were considered eligible if they compared CCCP with ICCP for the prevention of VAP in critically ill patients. This meta-analysis was performed using the RevMan 5.3 and Trial Sequential Analysis 0.9 software packages. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was used to assess the level of evidence.

Results: We identified 14 randomized control trials with a total of 2080 patients. Meta-analysis revealed that CCCP was associated with a significantly lower incidence of VAP compared with ICCP (relative risk [RR] = 0.52; 95% confidence interval [CI]: 0.37-0.74; P < 0.001), although considerable heterogeneity was observed (I² = 71%). Conducting trial sequential analysis confirmed the finding, and the GRADE level was moderate. Subgroup analysis demonstrated that CCCP combined with subglottic secretion drainage (SSD) had a more significant effect on reducing VAP (RR = 0.39; 95% CI = 0.29-0.52; P < 0.001). The effect of CCCP on ventilator-associated respiratory infection (VARI) incidence was uncertain (RR = 0.81; 95% CI = 0.53-1.24; P = 0.34; I² = 61%). Additionally, CCCP significantly reduced the duration of mechanical ventilation (MV) (mean difference [MD] = -2.42 days; 95% CI = -4.71-0.12; P = 0.04; I² = 87%). Descriptive analysis showed that CCCP improved the qualified rate of cuff pressure. However, no significant differences were found in the length of intensive care unit (ICU) stay (MD = 2.42 days; 95% CI = -1.84-6.68; P = 0.27) and ICU mortality (RR = 0.86; 95% CI = 0.74-1.00; P = 0.05).

Conclusion: Our findings suggest that the combination of CCCP and SSD can reduce the incidence of VAP and the duration of MV and maintain the stability of cuff pressure. A combination of CCCP and SSD applications is suggested for preventing VAP.

Background: Based on current evidence, there appears to be an association between peri-intubation hypotension and patient morbidity and mortality. Studies have identified shock indices as possible pre-intubation risk factors for peri-intubation hypotension. Thus, we sought to evaluate the association between shock index (SI), modified shock index (MSI), and diastolic shock index (DSI) and peri-intubation hypotension along with other outcomes.

Methods: The present study is a sub-study of a randomized controlled trial involving critically ill patients undergoing intubation. We defined peri-intubation hypotension as a decrease in mean arterial pressure <65 mm Hg and/or a reduction of 40% from baseline; or the initiation of, or increase in infusion dosage of, any vasopressor medication (bolus or infusion) during the 30-min period following intubation. SI, MSI, and DSI were analyzed as continuous variables and categorically using pre-established cut-offs. We also explored the effect of age on shock indices.

Results: A total of 151 patients were included in the analysis. Mean pre-intubation SI was 1.0  ±  0.3, MSI 1.5  ±  0.5, and DSI 1.9  ±  0.7. Increasing SI, MSI, and DSI were significantly associated with peri-intubation hypotension (OR [95% CI] per 0.1 increase  =  1.16 [1.04, 1.30], P  =  .009 for SI; 1.14 [1.05, 1.24], P  =  .003 for MSI; and 1.11 [1.04, 1.19], P  =  .003 for DSI). The area under the ROC curves did not differ across shock indices (0.66 vs 0.67 vs 0.69 for SI, MSI, and DSI respectively; P  =  .586). Increasing SI, MSI, and DSI were significantly associated with worse sequential organ failure assessment (SOFA) score (spearman rank correlation: r  =  0.30, r  =  0.40, and r  =  0.45 for SI, MSI, and DSI, respectively, all P < .001) but not with other outcomes. There was no significant impact when incorporating age.

Conclusions: Increasing SI, MSI, and DSI were all significantly associated with peri-intubation hypotension and worse SOFA scores but not with other outcomes. Shock indices remain a useful bedside tool to assess the potential likelihood of peri-intubation hypotension.

Trial registration: ClinicalTrials.gov identifier - NCT02105415.