Hidden Fluids in Plain Sight: Identifying Intravenous Medication Classes as Contributors to Intensive Care Unit Fluid Intake

2021 ◽  
pp. 001857872110163
Author(s):  
Kelly C. Gamble ◽  
Susan E. Smith ◽  
Christopher M. Bland ◽  
Andrea Sikora Newsome ◽  
Trisha N. Branan ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Fluid Intake ◽  
Fluid Management ◽  
Future Research ◽  
Vasoactive Agents ◽  
Total Fluid Intake ◽  
Oral Formulations ◽  
Surgical Icu ◽  
The Impact

Introduction: Fluid stewardship targets optimal fluid management to improve patient outcomes. Intravenous (IV) medications, flushes, and blood products, collectively referred to as hidden fluids, contribute to fluid intake in the intensive care unit (ICU). The impact of specific IV medications on fluid intake is unknown. Objective: Characterize IV medication classes based on contribution to ICU fluid intake by frequency of administration and total volume infused to identify targets for fluid stewardship. Methods: This multi-center, retrospective nested cohort study included patients admitted to a medical or surgical ICU between January 2017 and December 2018. The primary outcome was to identify the volume contribution of specific IV medication classes administered over the first 3 ICU days. Secondary outcomes were the administration frequency of these medications and their proportion of total daily volume intake over the first 3 ICU days. Results: The study included 210 patients. The largest mean administration volumes over the course of the first 3 ICU days were attributed to antibacterials (968 ± 846 mL), vitamins/minerals/electrolytes (416 ± 935 mL), pain/agitation/delirium agents (310 ± 512 mL), and vasoactive agents (282 ± 744 mL). The highest frequencies over the course of the first 3 ICU days were attributed to antibacterials (n = 180; 86%), pain/agitation/delirium agents (n = 143; 68%), vitamins/minerals/electrolytes (n = 123; 59%), and vasoactive agents (n = 96; 46%). IV medications contributed 2601 ± 2573 mL of fluid volume per patient over the first 3 ICU days, accounting for 42% ± 29% of overall volume. Conclusion: IV medications contribute over 40% of total fluid intake within the first 3 days of ICU admission, with antibacterials as top contributors by administration volume and frequency. Future research implementing fluid stewardship to ICU fluid sources, such as concentrating IV medications, switching IV medications to oral formulations, de-escalation of antibacterials, and reduction of maintenance fluids, should be performed to minimize hidden fluids from IV medications.

Antibiotic stewardship in the intensive care unit: Challenges and opportunities

2019 ◽  
Vol 40 (6) ◽  
pp. 693-698 ◽  
Author(s):  
Kathleen Chiotos ◽  
Pranita D. Tamma ◽  
Jeffrey S. Gerber
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Antibiotic Stewardship ◽  
Audit And Feedback ◽  
Molecular Diagnostic ◽  
Future Research ◽  
Antibiotic Overuse ◽  
Challenges And Opportunities ◽  
Prospective Audit And Feedback ◽  
The Impact

AbstractInfections due to antibiotic-resistant organisms are increasing in prevalence and represent a major public health threat. Antibiotic overuse is a major driver of this epidemic, and antibiotic stewardship an important means of limiting antibiotic resistance. The intensive care unit (ICU) setting presents an intersection of opportunities and challenges for effective antibiotic stewardship, but limited data inform optimal stewardship interventions in this setting. In this review, we present unique considerations for stewardship interventions the ICU setting and summarize available data evaluating the impact of prospective audit and feedback, diagnostic test stewardship, rapid molecular diagnostic tests, and procalcitonin-guided algorithms for antibiotic discontinuation. The existing knowledge gaps ripe for future research are emphasized.

Systematic review and meta-analysis of interventions for operating room to intensive care unit handoffs

2021 ◽  
pp. bmjqs-2020-012474
Author(s):  
Joanna Abraham ◽  
Alicia Meng ◽  
Sanjna Tripathy ◽  
Michael S Avidan ◽  
Thomas Kannampallil
Keyword(s):  
Systematic Review ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Operating Room ◽  
Meta Analysis ◽  
Intervention Group ◽  
Future Research ◽  
Original Research ◽  
Cochrane Central Register ◽  
The Impact

ObjectiveTo conduct a systematic review and meta-analysis to ascertain the impact of operating room (OR) to intensive care unit (ICU) handoff interventions on process-based and clinical outcomes.MethodWe included all English language, prospective evaluation studies of OR to ICU handoff interventions published as original research articles in peer-reviewed journals. The search was conducted on 11 November 2019 on MEDLINE, CINAHL, EMBASE, Scopus and the Cochrane Central Register of Controlled Trials databases, with no prespecified criteria for the type of comparison or outcome. A meta-analysis of similar outcomes was conducted using a random effects model. Quality was assessed using a modified Downs and Black (D&B) checklist.Results32 studies were included for review. 31 studies were conducted at a single site and 28 studies used an observational study design with a control. Most studies (n=28) evaluated bundled interventions which comprised information transfer/communication checklists and protocols. Meta-analysis showed that the handoff intervention group had statistically significant improvements in time to analgesia dosing (mean difference (MD)=−42.51 min, 95% CI −60.39 to −24.64), fewer information omissions (MD=−2.22, 95% CI −3.68 to –0.77), fewer technical errors (MD=−2.38, 95% CI −4.10 to –0.66) and greater information sharing scores (MD=30.03%, 95% CI 19.67% to 40.40%). Only 15 of the 32 studies scored above 9 points on the modified D&B checklist, indicating a lack of high-quality studies.DiscussionBundled interventions were commonly used to support OR to ICU handoff standardisation. Although the meta-analysis showed significant improvements for a number of clinical and process outcomes, the statistical and clinical heterogeneity must be accounted for when interpreting these findings. Implications for OR to ICU handoff practice and future research are discussed.

Differential impact of on-site or telepharmacy in the intensive care unit: a controlled before–after study

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Joao Gabriel Rosa Ramos ◽  
Sandra Cristina Hernandes ◽  
Talita Teles Teixeira Pereira ◽  
Shana Oliveira ◽  
Denis de Melo Soares ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Phase 1 ◽  
Phase 2 ◽  
Differential Impact ◽  
Scarce Resources ◽  
Clinical Pharmacists ◽  
Versus Phase ◽  
Quasi Experimental ◽  
The Impact

Abstract Background Clinical pharmacists have an important role in the intensive care unit (ICU) team but are scarce resources. Our aim was to evaluate the impact of on-site pharmacists on medical prescriptions in the ICU. Methods This is a retrospective, quasi-experimental, controlled before-after study in two ICUs. Interventions by pharmacists were evaluated in phase 1 (February to November 2016) and phase 2 (February to May 2017) in ICU A (intervention) and ICU B (control). In phase 1, both ICUs had a telepharmacy service in which medical prescriptions were evaluated and interventions were made remotely. In phase 2, an on-site pharmacist was implemented in ICU A, but not in ICU B. We compared the number of interventions that were accepted in phase 1 versus phase 2. Results During the study period, 8797/9603 (91.6%) prescriptions were evaluated, and 935 (10.6%) needed intervention. In phase 2, there was an increase in the proportion of interventions that were accepted by the physician in comparison to phase 1 (93.9% versus 76.8%, P < 0.001) in ICU A, but there was no change in ICU B (75.2% versus 73.9%, P = 0.845). Conclusion An on-site pharmacist in the ICU was associated with an increase in the proportion of interventions that were accepted by physicians.

The presence of liver cirrhosis is a strong negative predictor of survival for patients admitted to the intensive care unit – Cirrhosis in intensive care patients

2021 ◽  
Author(s):  
Jörg Bojunga ◽  
Mireen Friedrich-Rust ◽  
Alica Kubesch ◽  
Kai Henrik Peiffer ◽  
Hannes Abramowski ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Liver Cirrhosis ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Intensive Care Treatment ◽  
Matched Cohort ◽  
Care Treatment ◽  
Cirrhotic Patients ◽  
The Impact ◽  
Cirrhotic Group

Abstract Background and Aims Liver cirrhosis is a systemic disease that substantially impacts the body’s physiology, especially in advanced stages. Accordingly, the outcome of patients with cirrhosis requiring intensive care treatment is poor. We aimed to analyze the impact of cirrhosis on mortality of intensive care unit (ICU) patients compared to other frequent chronic diseases and conditions. Methods In this retrospective study, patients admitted over three years to the ICU of the Department of Medicine of the University Hospital Frankfurt were included. Patients were matched for age, gender, pre-existing conditions, simplified acute physiology score (SAPS II), and therapeutic intervention scoring system (TISS). Results A total of 567 patients admitted to the ICU were included in the study; 99 (17.5 %) patients had liver cirrhosis. A total of 129 patients were included in the matched cohort for the sensitivity analysis. In-hospital mortality was higher in cirrhotic patients than non-cirrhotic patients (p < 0.0001) in the entire and matched cohort. Liver cirrhosis remained one of the strongest independent predictors of in-hospital mortality (entire cohort p = 0.001; matched cohort p = 0.03) along with dialysis and need for transfusion in the multivariate logistic regression analysis. Furthermore, in the cirrhotic group, the need for kidney replacement therapy (p < 0.001) and blood transfusion (p < 0.001) was significantly higher than in the non-cirrhotic group.  Conclusions In the presented study, liver cirrhosis was one of the strongest predictors of in-hospital mortality in patients needing intensive care treatment along with dialysis and the need for ventilation. Therefore, concerted efforts are needed to improve cirrhotic patients’ outcomes, prevent disease progression, and avoid complications with the need for ICU treatment in the early stages of the disease.

scholarly journals 375. COVID 19 infection in a Massachusetts community hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S257-S258
Author(s):  
Raul Davaro ◽  
alwyn rapose
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Essential Hypertension ◽  
Severe Acute Respiratory Syndrome ◽  
High Mortality ◽  
Case Series ◽  
World Health ◽  
Minimal Risk ◽  
The Impact

Abstract Background The ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has led to 105690 cases and 7647 deaths in Massachusetts as of June 16. Methods The study was conducted at Saint Vincent Hospital, an academic health medical center in Worcester, Massachusetts. The institutional review board approved this case series as minimal-risk research using data collected for routine clinical practice and waived the requirement for informed consent. All consecutive patients who were sufficiently medically ill to require hospital admission with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by positive result on polymerase chain reaction testing of a nasopharyngeal sample were included. Results A total of 109 consecutive patients with COVID 19 were admitted between March 15 and May 31. Sixty one percent were men, the mean age of the cohort was 67. Forty one patients (37%) were transferred from nursing homes. Twenty seven patients died (24%) and the majority of the dead patients were men (62%). Fifty one patients (46%) required admission to the medical intensive care unit and 34 necessitated mechanical ventilation, twenty two patients on mechanical ventilation died (63%). The most common co-morbidities were essential hypertension (65%), obesity (60%), diabetes (33%), chronic kidney disease (22%), morbid obesity (11%), congestive heart failure (16%) and COPD (14%). Five patients required hemodialysis. Fifty five patients received hydroxychloroquine, 24 received tocilizumab, 20 received convalescent plasma and 16 received remdesivir. COVID 19 appeared in China in late 2019 and was declared a pandemic by the World Health Organization on March 11, 2020. Our study showed a high mortality in patients requiring mechanical ventilation (43%) as opposed to those who did not (5.7%). Hypertension, diabetes and obesity were highly prevalent in this aging population. Our cohort was too small to explore the impact of treatment with remdesivir, tocilizumab or convalescent plasma. Conclusion In this cohort obesity, diabetes and essential hypertension are risk factors associated with high mortality. Patients admitted to the intensive care unit who need mechanical ventilation have a mortality approaching 50 %. Disclosures All Authors: No reported disclosures

scholarly journals Blind Spots in Methods Based on Cultivation and Metagenomic Sequencing for Surface Microbiomes in a Medical Intensive Care Unit

2020 ◽  
Vol 41 (S1) ◽  
pp. s141-s142
Author(s):  
Jiaxian Shen ◽  
Alexander McFarland ◽  
Ryan Blaustein ◽  
Mary Hayden ◽  
Vincent Young ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Sensitivity And Specificity ◽  
Medical Intensive Care Unit ◽  
Metagenomic Sequencing ◽  
Whole Cell ◽  
Medical Intensive Care ◽  
The Impact ◽  
Blind Spots

Background: Cultivation of targeted pathogens has been long recognized as a gold standard for healthcare surveillance. However, there is an emergent need to characterize all viable microorganisms in healthcare facilities to understand the role that both clinical and nonclinical microorganisms play in healthcare-associated infections. Metagenomic sequencing allows detection of entire microbial communities, in contrast to targeted identification by cultivation. Widespread application of metagenomic sequencing has been impeded in part because the sensitivity and specificity are unknown, which inhibits our ability to interpret results for risk assessment. To assess the impact of sample preparation methods on sensitivity and specificity, we compared several pretreatment steps followed by metagenomic sequencing, and we performed culture-based analyses. Methods: We collected 120 surface swabs from the medical intensive care unit at Rush University Medical Center, which we aggregated to create a representative microbiome sample. We then subjected aliquots to different processing methods (DNA extraction methods, internal standard addition, propidium monoazide (PMA) treatment, and whole-cell serial filtration). We evaluated the effects of these methods based on DNA yields and metagenomic sequencing outcomes. We also compared the metagenomic results to the microbial identifications obtained by cultivation using environmental microbiology methods and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Results: Our results demonstrate that bead-beating and heat lysis followed by liquid-liquid extraction is the optimal method for the identification of low-biomass surface-associated microbes, as opposed to widely used column-based and magnetic bead-based methods. For low-biomass surface-associated samples, ~590,000 reads per sample are sufficient for ≍90% coverage in metagenomic sequencing (Fig. 1). The ZymoBIOMICS microbial community standard is not appropriate for methods assessing membrane integrity. For the identification of putatively viable microorganisms, PMA treatment is promising, although elimination of signals from nonviable organisms will reduce the overall detectable signal. Combining PMA-treated metagenomic sequencing with cultivation yields the most comprehensive results, particularly for low-abundance taxa, despite high sequencing coverage (Fig. 2). To distribute more detection resources to bacteria, our target domain, we tried whole-cell filtration prior to extraction, attempting to isolate bacterial cells from eukaryotic cells and other particles. For low-biomass surface-associated samples, the sample loss and the difficulties in performing filtration outweigh the slight increase of bacterial signal. Conclusions: Despite optimization, we observed certain blind spots in both cultivation and metagenomic sequencing. This information is essential for informed risk assessment. Further research is needed to identify additional limitations to ensure that results from metagenomic sequencing can be interpreted in the context of healthcare-acquired infection prevention.Funding: This work was supported by the Centers for Disease Control and Prevention (BAA FY2018-OADS-01 Contract 02915).Disclosures: None

scholarly journals Impact of sound levels and patient-related factors on sleep of patients in the intensive care unit: a cross-sectional cohort study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Piotr F. Czempik ◽  
Agnieszka Jarosińska ◽  
Krystyna Machlowska ◽  
Michał P. Pluta
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Smartphone Application ◽  
Sound Level ◽  
Related Factors ◽  
Cross Sectional ◽  
Sound Levels ◽  
The Impact

Abstract Sleep disruption is common in patients in the intensive care unit (ICU). The aim of the study was to measure sound levels during sleep-protected time in the ICU, determine sources of sound, assess the impact of sound levels and patient-related factors on duration and quality of patients' sleep. The study was performed between 2018 and 2019. A commercially available smartphone application was used to measure ambient sound levels. Sleep duration was measured using the Patient's Sleep Behaviour Observational Tool. Sleep quality was assessed using the Richards-Campbell Sleep Questionnaire (RCSQ). The study population comprised 18 (58%) men and 13 (42%) women. There were numerous sources of sound. The median duration of sleep was 5 (IQR 3.5–5.7) hours. The median score on the RCSQ was 49 (IQR 28–71) out of 100 points. Sound levels were negatively correlated with sleep duration. The cut-off peak sound level, above which sleep duration was shorter than mean sleep duration in the cohort, was 57.9 dB. Simple smartphone applications can be useful to estimate sound levels in the ICU. There are numerous sources of sound in the ICU. Individual units should identify and eliminate their own sources of sound. Sources of sound producing peak sound levels above 57.9 dB may lead to shorter sleep and should be eliminated from the ICU environment. The sound levels had no effect on sleep quality.

The Impact of Implementing a “Pain, Agitation, and Delirium Bundle” in a Pediatric Intensive Care Unit: Improved Delirium Diagnosis

2021 ◽  
Author(s):  
Lise D. Cloedt ◽  
Kenza Benbouzid ◽  
Annie Lavoie ◽  
Marie-Élaine Metras ◽  
Marie-Christine Lavoie ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Post Intervention ◽  
Number Of Patients ◽  
Implementation Period ◽  
Short And Long Term ◽  
The Impact

AbstractDelirium is associated with significant negative outcomes, yet it remains underdiagnosed in children. We describe the impact of implementing a pain, agitation, and delirium (PAD) bundle on the rate of delirium detection in a pediatric intensive care unit (PICU). This represents a single-center, pre-/post-intervention retrospective and prospective cohort study. The study was conducted at a PICU in a quaternary university-affiliated pediatric hospital. All patients consecutively admitted to the PICU in October and November 2017 and 2018. Purpose of the study was describe the impact of the implementation of a PAD bundle. The rate of delirium detection and the utilization of sedative and analgesics in the pre- and post-implementation phases were measured. A total of 176 and 138 patients were admitted during the pre- and post-implementation phases, respectively. Of them, 7 (4%) and 44 (31.9%) were diagnosed with delirium (p < 0.001). Delirium was diagnosed in the first 48 hours of PICU admission and lasted for a median of 2 days (interquartile range [IQR]: 2–4). Delirium diagnosis was higher in patients receiving invasive ventilation (p < 0.001). Compliance with the PAD bundle scoring was 79% for the delirium scale. Score results were discussed during medical rounds for 68% of the patients in the post-implementation period. The number of patients who received opioids and benzodiazepines and the cumulative doses were not statistically different between the two cohorts. More patients received dexmedetomidine and the cumulative daily dose was higher in the post-implementation period (p < 0.001). The implementation of a PAD bundle in a PICU was associated with an increased recognition of delirium diagnosis. Further studies are needed to evaluate the impact of this increased diagnostic rate on short- and long-term outcomes.

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