Facilitating and hindering factors of community nurses'emergency and critical care treatment abilities:A qualitative study

BACKGROUND This study adopts a descriptive phenomenological approach to investigate the facilitators and barriers of community nurses'abilities in managing critical and emergency conditions.With the transition of healthcare systems to the community,the evolution of nursing practices,and the attention from policies and practices,community nurses play a crucial role in the management of critical and emergency conditions.However,there is still a lack of comprehensive understanding regarding the factors that promote or hinder their capabilities in this area.AIM To understand the facilitators and barriers of community nurses in managing critical and emergency conditions,exploring the fundamental reasons and driving forces influencing their treatment capabilities.METHODS This study utilized the destination sampling method between May 2023 and July 2023.It employed a descriptive phenomenological approach within qualitative research methodologies.Through objective sampling,17 community nurses from 7 communities in Changning District,Shanghai,were selected as the study subjects.Semi-structured interviews were conducted to gather data,which were subsequently organized and analyzed using Colaizzi's seven-step analysis method,leading to the extraction of final themes.RESULTS The barrier factors identified from the interviews encompassed three topics:resource allocation,professional factors,and personal literacy.The facilitators comprised three themes:professionalism,management attention,and training and continuing education.We identified that the root causes of the barriers included the lack of practical treatment experience among community nurses,insufficient awareness of self-directed learning,and limited knowledge and technical proficiency.The professional quality of community nurses and management attention serve as motivation for them to enhance their treatment abilities.CONCLUSION To enhance the capability of community nurses in treating acute and critical patients,it is recommended to bolster training specifically tailored to acute and critical care,raise awareness of first aid practices,and elevate knowledge and skill levels.

Mental health status among COVID-19 patients survivors of critical illness in Saudi Arabia:A 6-month follow-up questionnaire study

BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.

Deciphering the iron enigma: Navigating the complexities of iron metabolism in critical illness

Iron is a double-edged sword!Despite being essential for numerous physiological processes of the body,a dysregulated iron metabolism can result in tissue da-mage,exaggerated inflammatory response,and increased susceptibility to infection with certain pathogens that thrive in iron-rich environment.During sepsis,there is an alteration of iron metabolism,leading to increased transport and uptake into cells.This increase in labile iron may cause oxidative damage and cellular injury(ferroptosis)which progresses as the disease worsens.Critically ill patients are often complicated with systemic inflammation which may contribute to multiple organ dysfunction syndrome or sepsis,a common cause of mortality in intensive care unit.Originally,ferritin was known to play an important role in the hematopoietic system for its iron storage capacity.Recently,its role has emerged as a predictor of poor prognosis in chronic inflammation and critical illnesses.Apart from predicting the disease outcome,serum ferritin can poten-tially reflect disease activity as well.

Predictive value of controlling nutritional status score for progression to chronic critical illness in elderly patients with sepsis

Objective:To investigate the predictive value of controlling nutritional status(CONUT)score for progression to chronic critical illness sepsis in elderly patients,and to construct a predictive model based on CONUT score histogram.Methods:739 elderly patients with sepsis admitted from January 2020 to December 2022 were selected as the study objects,and were divided into chronic critical illness group(n=188)and non-chronic critical illness group(n=551)according to whether chronic critical illness disease occurred.Clinical data of the patients were collected and compared.The predictive value of CONUT score,PNI and NLR in the progression of senile sepsis to chronic severe disease was compared,and the optimal threshold value was determined,which was used to convert the numerical variables into binary variables.Through univariate analysis and multivariate Logistic regression analysis,the risk factors affecting the progression of elderly sepsis patients to chronic critical illness disease were screened out,and the prediction model was built based on the nomogram.The efficacy and clinical utility of the prediction model were evaluated by the area under the ROC curve(AUC),calibration curve and decision curve analysis(DCA).Results:The best cut-off value for CONUT score in predicting elderly sepsis progressing to chronic critical illness was 4 points.The predictive performance of CONUT score(AUC=0.739)was better than that of PNI(AUC=0.609)and NLR(AUC=0.582)in elderly sepsis progressing to chronic critical illness(CONUT score vs PNI:Z=5.960,P<0.001;CONUT score vs NLR:Z=6.119,P<0.001).Univariate analysis showed that age,CCI score,SOFA score,sepsis shock,serum Lac,CONUT score,mechanical ventilation(MV),and continuous renal replacement therapy(CRRT)treatment were related to elderly sepsis progressing to chronic critical illness(P<0.05).Multivariate logistic regression analysis showed that CONUT score≥4 points,age≥75 years,CCI score≥3 points,SOFA score>5 points,sepsis shock,and serum Lac≥4 mmol/L were independent risk factors for elderly sepsis progressing to chronic critical illness(P<0.05).The nomogram showed that CONUT score had the greatest contribution value in predicting elderly sepsis progressing to chronic critical illness.Based on this,the nomogram prediction model had an AUC of 0.846[95%CI(0.812~0.879)],with a sensitivity of 75.5%and specificity of 81.3%,indicating good predictive performance.The calibration curve was close to the ideal curve,and the DCA threshold had clinical utility advantages when ranging from 0.1 to 0.9.Conclusion:The nomographic prediction model based on CONUT score can effectively predict the risk probability of senile sepsis progressing to chronic critical illness,helpful for clinicians to identify the high risk group of chronic and severe senile sepsis,which is helpful for clinicians to identify high-risk populations of elderly sepsis with chronic critical illness.

Sleep during and following critical illness:A narrative review

Sleep is a complex process influenced by biological and environmental factors.Disturbances of sleep quantity and quality occur frequently in the critically ill and remain prevalent in survivors for at least 12 mo.Sleep disturbances are associated with adverse outcomes across multiple organ systems but are most strongly linked to delirium and cognitive impairment.This review will outline the predisposing and precipitating factors for sleep disturbance,categorised into patient,environmental and treatment-related factors.The objective and subjective methodologies used to quantify sleep during critical illness will be reviewed.While polysomnography remains the gold-standard,its use in the critical care setting still presents many barriers.Other methodologies are needed to better understand the pathophysiology,epidemiology and treatment of sleep disturbance in this population.Subjective outcome measures,including the Richards-Campbell Sleep Questionnaire,are still required for trials involving a greater number of patients and provide valuable insight into patients’experiences of disturbed sleep.Finally,sleep optimisation strategies are reviewed,including intervention bundles,ambient noise and light reduction,quiet time,and the use of ear plugs and eye masks.While drugs to improve sleep are frequently prescribed to patients in the ICU,evidence supporting their effectiveness is lacking.

German critical incident reporting system database of prehospital emergency medicine: Analysis of reported communication and medication errors between 2005–2015

BACKGROUND: Communication failure in prehospital emergency medicine can affect patient safety as it does in other areas of medicine as well. We analyzed the database of the critical incident reporting system for prehospital emergency medicine in Germany retrospectively regarding communication errors.METHODS: Experts of prehospital emergency medicine and risk management screened the database for verbal communication failure, non-verbal communication failure and missing communication at all.RESULTS: Between 2005 and 2015, 845 reports were analyzed, of which 247 reports were considered to be related to communication failure. An arbitrary classifi cation resulted in six different kinds: 1) no acknowledgement of a suggestion; 2) medication error; 3) miscommunication with dispatcher; 4) utterance heard/understood improperly; 5) missing information transfer between two persons; and 6) other communication failure.CONCLUSION: Communication defi cits can lead to critical incidents in prehospital emergency medicine and are a very important aspect in patient safety.

Trend of emergency department presentations for influenza like illness: Differences between pandemic (2009-2010) and post-pandemic (2010-2011) season

The aim of this paper is to analyze differences between incidence, characteristics and out-comes of patients with Influenza Like Illness (ILI) presenting to a teaching public hospital in Central Italy during pandemic influenza season (2009-2010) and during the post-pandemic outbreak (2010-2011). We performed a retrospective descriptive study, and we identified Emergency Department (ED) presentations for ILI, relying on hospital discharge data administrative database. Bivariate analyses for the outcome of hospital admission were performed for both seasons and a multiple logistic regression model has been developed to evaluate which factors were independently associated with hospital admission. Among all the ED presentations (51,757), visits for ILI were respectively 821 (3.1%) during the pandemic season, and 704 (2.8%) during the post-pandemic one. The pandemic cohort differs significantly from the post-pandemic cohort for every characteristic investigated, with the exception of the length of stay in the ED. Overall in 2009-2010 there were more ED presentations compared to the following season, but hospital admission rates were less than in 2010-2011. Further studies are needed to assess if other variables may affect the use of the ED for ILI in order to try to plan staff and hospital organization.

Study of the Conditions Surrounding Fatigue That Are Common to Medical Professionals Working in Emergency and Critical Care Centers in Japan

This study aimed to clarify the conditions surrounding fatigue that are common to medical professionals working in emergency and critical care centers in Japan. Semi-structured interviews were conducted with eight professionals ranging from doctors, nurses and pharmacists to clinical engineering technologists and radiation technologists. Their narratives were analyzed using the qualitative descriptive approach to determine fatigue common to all professionals and the reasons behind it. The five categories that emerged as the reasons for fatigue common to the subjects were [playing one’s role in treatment and procedures for emergency and critical patients], [accommodating the patient’s background and coming to terms with the outcome], [difficulties in liaising with other professionals], [feeling pressure as a responsible professional in emergency care] and [loss of sense of time caused by variable working hours]. The results revealed that fatigue common to all of the subjects was related to dealing with patients, coordinating with other professionals, having professional responsibilities and the working environment. This study suggests that arrangements to improve the working environment, ensure adequate staffing, and provide mental health support for the well-being of medical professionals working in emergency and critical care centers are necessary.

Characteristics of postintensive care syndrome in survivors of pediatric critical illness: A systematic review

AIM To synthesize the available evidence focusing on morbidities in pediatric survivors of critical illness that fall within the defined construct of postintensive care syndrome(PICS) in adults, including physical, neurocognitive and psychological morbidities.METHODS A comprehensive search was conducted in MEDLINE, EMBASE, the Cochrane Library, Psyc INFO, and CINAHL using controlled vocabulary and key word terms to identify studies reporting characteristics of PICS in pediatric intensive care unit(PICU) patients. Two reviewers independently screened all titles and abstracts and performed data extraction. From the 3176 articles identified in the search, 252 abstracts were identified for full text review and nineteen were identified for inclusion in the review. All studies reporting characteristics of PICS in PICU patients were included in the final synthesis. RESULTS Nineteen studies meeting inclusion criteria published between 1995 and 2016 were identified and categorized into studies reporting morbidities in each of three categories-physical, neurocognitive and psychological. The majority of included articles reported prospective cohort studies, and there was significant variability in the outcome measures utilized. A synthesis of the studies indicate that morbidities encompassing PICS are well-described in children who have survived critical illness, often resolving over time. Risk factors for development of these morbidities include younger age, lower socioeconomic status, increased number of invasive procedures or interventions, type of illness, and increased benzodiazepine andnarcotic administration.CONCLUSION PICS-related morbidities impact a significant proportion of children discharged from PICUs. In order to further define PICS in children, more research is needed using standardized tools to better understand the scope and natural history of morbidities after hospital discharge. Improving our understanding of physical, neurocognitive, and psychological morbidities after critical illness in the pediatric population is imperative for designing interventions to improve long-term outcomes in PICU patients.

Alcoholism and critical illness: A review

Alcohol is the most commonly used and abused drug in the world, and alcohol use disorders pose a tremendousburden to healthcare systems around the world. The lifetime prevalence of alcohol abuse in the United States is estimated to be around 18%, and the economic consequences of these disorders are staggering. Studies on hospitalized patients demonstrate that about one in four patients admitted to critical care units will have alcohol-related issues, and unhealthy alcohol consumption is responsible for numerous clinical problems encountered in intensive care unit(ICU) settings. Patients with alcohol use disorders are not only predisposed to developing withdrawal syndromes and other conditions that often require intensive care, they also experience a considerably higher rate of complications, longer ICU and hospital length of stay, greater resource utilization, and significantly increased mortality compared to similar critically ill patients who do not abuse alcohol. Specific disorders seen in the critical care setting that are impacted by alcohol abuse include delirium, pneumonia, acute respiratory distress syndrome, sepsis, gastrointestinal hemorrhage, trauma, and burn injuries. Despite the substantial burden of alcoholinduced disease in these settings, critical care providers often fail to identify individuals with alcohol use disorders, which can have significant implications for this vulnerable population and delay important clinical interventions.

Artificial intelligence and computer simulation models in critical illness

Widespread implementation of electronic health records has led to the increased use of artificial intelligence(AI)and computer modeling in clinical medicine.The early recognition and treatment of critical illness are central to good outcomes but are made difficult by,among other things,the complexity of the environment and the often non-specific nature of the clinical presentation.Increasingly,AI applications are being proposed as decision supports for busy or distracted clinicians,to address this challenge.Data driven“associative”AI models are built from retrospective data registries with missing data and imprecise timing.Associative AI models lack transparency,often ignore causal mechanisms,and,while potentially useful in improved prognostication,have thus far had limited clinical applicability.To be clinically useful,AI tools need to provide bedside clinicians with actionable knowledge.Explicitly addressing causal mechanisms not only increases validity and replicability of the model,but also adds transparency and helps gain trust from the bedside clinicians for real world use of AI models in teaching and patient care.

Being in limbo: The experience of critical illness in intensive care and beyond

Critical illness is a sudden traumatising lived experience that affects the sufferer and their family throwing them into a crisis situation [1,2]. It is disruptive and alienating. Critically ill patients emerging from unconsciousness often suffer from confusion that could be momentary or lasting. There is an increasing number of critical illness survivors in intensive care units (ICU)1 with numerous life changing ongoing physiological and psychological sequelae from critical illness and ICU hospitalization, with inadequate ongoing treatment for ICU survivors. Medicalised accounts of critical illness fail to recognise the significant impact on the person, their embodied sense of self and their ability to move on with their life after they leave hospital. The main purpose of this study was to explore the experience of critically ill patients in ICU and beyond. This phenomenological study describes what it was like for twelve people to experience critical illness in ICU and in the months after discharge. The finding was that critical illness is an acute life threatening event with long lasting effects which translate into temporal and biographical disruption, imprisonment by the ICU and its therapies and being trapped in an alien body that is plagued by uncertainty and long lasting conditions arising from the critical illness and the ICU therapies. Critical illness survivors are left in a state of limbo characterised by a struggle to reclaim their precritical illness ICU identity and uncertainty about their future. Hence an overarching theme of being in limbo under which three major themes of 1) disrupttion, 2) imprisonment and 3) being trapped were generated from the study.

Glucocorticoid and mineralocorticoid receptor expression in critical illness:A narrative review

The glucocorticoid receptor(GCR)and the mineralocorticoid receptor(MR)are members of the steroid receptor superfamily of hormone-dependent transcription factors.The receptors are structurally and functionally related.They are localized in the cytosol and translocate into the nucleus after ligand binding.GCRs and MRs can be co-expressed within the same cell,and it is believed that the balance in GCR and MR expression is crucial for homeostasis and plays a key role in normal adaptation.In critical illness,the hypothalamic-pituitary-adrenal axis is activated,and as a consequence,serum cortisol concentrations are high.However,a number of patients exhibit relatively low cortisol levels for the degree of illness severity.Glucocorticoid(GC)actions are facilitated by GCR,whose dysfunction leads to GC tissue resistance.The MR is unique in this family in that it binds to both aldosterone and cortisol.Endogenous GCs play a critical role in controlling inflammatory responses in critical illness.Intracellular GC concentrations can differ greatly from blood levels due to the action of the two 11β-hydroxysteroid dehydrogenase isozymes,type 1 and type 2.11β-hydroxysteroid dehydrogenases interconvert endogenous active cortisol and intrinsically inert cortisone.The degree of expression of the two isozymes has the potential to dramatically influence local GC availability within cells and tissues.In this review,we will explore the clinical studies that aimed to elucidate the role of MR and GCR expression in the inflammatory response seen in critical illness.

Study on the Accuracy of Serum Prealbumin Level in Predicting the Prognosis of Patients with Critical Respiratory Illness

Objective: To analyze the accuracy of serum prealbumin levels in predicting the prognosis of patients with critical respiratory illness. Methods: Fifty patients with critical respiratory illness admitted to our hospital from October 2022 to September 2023 were selected and divided into an observation group and a control group after condition assessment, with 25 cases in each group. The results of cholinesterase (ChE), prealbumin (PALB), albumin (ALB), aspartate aminotransferase (AST), total protein (TP), and forced expiratory volume (FEV1)/Predicted (Pred) of the two groups were measured. Results: The ChE levels of the observation group were lower than those of the control group, while the PALB and ALB levels of the observation group were higher than those of the control group (P < 0.05). The AST, TP, and FEV1 /Pred levels of the observation group were higher than those in the control group (P < 0.05). Conclusion: Serum PALB levels can be used as the main indicator for prognosis in critically ill respiratory patients.

Emergency Local Searching Approach for Job Shop Scheduling

Existing methods of local search mostly focus on how to reach optimal solution.However,in some emergency situations,search time is the hard constraint for job shop scheduling problem while optimal solution is not necessary.In this situation,the existing method of local search is not fast enough.This paper presents an emergency local search(ELS) approach which can reach feasible and nearly optimal solution in limited search time.The ELS approach is desirable for the aforementioned emergency situations where search time is limited and a nearly optimal solution is sufficient,which consists of three phases.Firstly,in order to reach a feasible and nearly optimal solution,infeasible solutions are repaired and a repair technique named group repair is proposed.Secondly,in order to save time,the amount of local search moves need to be reduced and this is achieved by a quickly search method named critical path search(CPS).Finally,CPS sometimes stops at a solution far from the optimal one.In order to jump out the search dilemma of CPS,a jump technique based on critical part is used to improve CPS.Furthermore,the schedule system based on ELS has been developed and experiments based on this system completed on the computer of Intel Pentium(R) 2.93 GHz.The experimental result shows that the optimal solutions of small scale instances are reached in 2 s,and the nearly optimal solutions of large scale instances are reached in 4 s.The proposed ELS approach can stably reach nearly optimal solutions with manageable search time,and can be applied on some emergency situations.

DC Emergency Power Control Strategy for AC/DC Multi-Channel Interconnected System

Inter-regional transmission line fault often results in power flow transferring, tie-line overloading and system islanding. Traditional control methods such asgenerator tripping and load shedding are costly, and also have undesirable impacts on theloadside. In this paper, a new emergency power control strategy is proposed for multi-channel interconnected system by using the overload capacity of non-fault DC lines. First of all, the capacity of emergency power control can be acquired by critical transmission power of a certain tie-line for stability. Secondly, the shortest electric distance can be calculated by Dijkstra algorithm, and then the priority of emergency control of the DC lines can be obtained by the entropy weight method. When the inter-regional transmission power decreases and the effect of single DC line emergency control is poor, the multi-channel cooperative emergency control strategy is proposed to ensure the system stability. Simulation results verify the effectiveness of the method proposed.

Perceptions of Rural Emergency Department Providers regarding Telehealth-Based Care: Perceived Competency, Satisfaction with Care and Tele-ED Patient Disposition

Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (ED) telehealth visits influence clinical reasoning in regard to patient disposition, specifically in tele-behavioral and tele-neurological cases. Methods: A cross-sectional survey was conducted of 134 ED providers (nurses [n = 126] and physicians [n = 8]) who were working in five Midwestern critical access hospitals (response rate 83%). Descriptive, correlational and stepwise regression analyses were employed to evaluate provider perceptions of 1) competency level in telehealth delivery, 2) patient health outcomes, 3) access to continuing education in telehealth, and 4) clinical influence of telehealth visit. Evaluation of preliminary set of N = 100 telehealth cases were assessed for influence of telehealth on clinical reasoning of attending physicians regarding patient disposition. Results: The majority (67%;n = 90) of participants had at least minimal experience with telehealth care delivery, with an average of 1 - 2 visits in teleneurology, and 3 - 4 visits in telebehavioral cases. Providers rated their overall mean competency level in telehealth care delivery as 3.01/5.00 based on a 5 point “novice (1) to expert” (5) scale. Mean scores for providers perceived competency level in 7 evidence-based sub-categories for telehealth care delivery were self-reported as relatively low to mid-range values, ranging from 2.64 - 3.57/5.00. Stepwise linear regression analysis of whether all providers “would recommend telehealth to their family and friends” revealed two predictors for model of best fit (n = 81;p 2 = 0.598): 1) their perceptions of telehealth experience compared to usual care;and 2) perceptions of patient health outcomes with telehealth compared to usual care. Providers rated “neutral” to “very unlikely” that they “would recommend telehealth to family and friends” (2.75/5.00;n = 122;91%). Attending physicians reported that for a majority of cases, telehealth visits influenced patient disposition and transfer decision-making (58.4%), and the influence of telehealth visits on patient disposition was statistically significantly higher for behavioral health cases (p Discussion: This study will be followed on to inform administrators/policy makers about 1) perceived level of competency of providers who implement tele-emergency care, 2) potential importance of telehealth equipment used and teamwork between rural providers and distant specialist, and 3) how use of telehealth may enhance ability of rural ED providers to improve quality of care. Perceived influence of telehealth on patient disposition is reported to be highest for telebehavioral patients. Healthcare educators need to place a priority on addressing provider competencies in telehealth through health professions degree programs and continuing education. Further research is needed to promote application and testing of evidence-based provider competencies in telehealth, and potentially relevant health communication models, to increase providers’ perceived efficacy and competency in telehealth care delivery, thus supporting high quality patient health outcomes.

Advancing critical care recovery:The pivotal role of machine learning in early detection of intensive care unit-acquired weakness

This editorial explores the significant challenge of intensive care unit-acquiredweakness(ICU-AW),a prevalent condition affecting critically ill patients,characterizedby profound muscle weakness and complicating patient recovery.Highlightingthe paradox of modern medical advances,it emphasizes the urgent needfor early identification and intervention to mitigate ICU-AW's impact.Innovatively,the study by Wang et al is showcased for employing a multilayer perceptronneural network model,achieving high accuracy in predicting ICU-AWrisk.This advancement underscores the potential of neural network models inenhancing patient care but also calls for continued research to address limitationsand improve model applicability.The editorial advocates for the developmentand validation of sophisticated predictive tools,aiming for personalized carestrategies to reduce ICU-AW incidence and severity,ultimately improving patientoutcomes in critical care settings.

Comparing gastrointestinal dysfunction score and acute gastrointestinal injury grade for predicting short-term mortality in critically ill patients

BACKGROUND The prognosis of critically ill patients is closely linked to their gastrointestinal(GI)function.The acute GI injury(AGI)grading system,established in 2012,is extensively utilized to evaluate GI dysfunction and forecast outcomes in clinical settings.In 2021,the GI dysfunction score(GIDS)was developed,building on the AGI grading system,to enhance the accuracy of GI dysfunction severity assessment,improve prognostic predictions,reduce subjectivity,and increase reproducibility.AIM To compare the predictive capabilities of GIDS and the AGI grading system for 28-day mortality in critically ill patients.METHODS A retrospective study was conducted at the general intensive care unit(ICU)of a regional university hospital.All data were collected during the first week of ICU admission.The primary outcome was 28-day mortality.Multivariable logistic regression analyzed whether GIDS and AGI grade were independent risk factors for 28-day mortality.The predictive abilities of GIDS and AGI grade were compared using the receiver operating characteristic curve,with DeLong’s test assessing differences between the curves’areas.RESULTS The incidence of AGI in the first week of ICU admission was 92.13%.There were 85 deaths(47.75%)within 28 days of ICU admission.There was no initial 24-hour difference in GIDS between the non-survival and survival groups.Both GIDS(OR 2.01,95%CI:1.25-3.24;P=0.004)and AGI grade(OR 1.94,95%CI:1.12-3.38;P=0.019)were independent predictors of 28-day mortality.No significant difference was found between the predictive accuracy of GIDS and AGI grade for 28-day mortality during the first week of ICU admission(Z=-0.26,P=0.794).CONCLUSION GIDS within the first 24 hours was an unreliable predictor of 28-day mortality.The predictive accuracy for 28-day mortality from both systems during the first week was comparable.

Rifaximin discontinuation during broad-spectrum antibiotic treatment in critically ill patients with hepatic encephalopathy

Hepatic encephalopathy(HE)is one of the main complications of cirrhosis,characterized by a wide spectrum of neuropsychiatric alterations that lead to an increase in mortality,morbidity and recurrent hospitalizations.Due to the central role in HE pathogenesis of ammonia and other neurotoxins primarily produced by the gut microbiota,the main therapeutic approaches for the treatment of HE are based on the modulation of the gut microbiota.Rifaximin is a non-absorbable broad-spectrum antibiotic,that is effective against ammonia-producing grampositive,gram-negative,and anaerobic species,approved for the treatment of HE in secondary prophylaxis.The chronic administration of rifaximin in this setting is associated with a lower risk of HE recurrence and mortality,while the role of rifaximin for the treatment of an overt-HE episode in inpatients is still unclear.Limited data exist about the coadministration of rifaximin and broad-spectrum antibiotics commonly used to treat concomitant infections,as patients receiving or recently treated with antibiotics were frequently excluded from clinical trials.In this editorial we comment on the article by Ward et al published in the recent issue of the World Journal of Hepatology.It is a single center,retrospective,quasiexperimental,pharmacist-driven protocol,with the aim to evaluate the feasibility and safety of rifaximin discontinuation in critically ill patients with HE and chronic liver disease receiving broad-spectrum antibiotic therapies in intensive care units.The study revealed no differences between the protocol and control group in terms of primary outcome(days alive and free of delirium and coma to day 14)and secondary outcomes which include:Intensive care mortality,intensive care length of stay,intravenous vasopressor requirement changes and adverse effects rate.Therefore,rifaximin discontinuation during broad-spectrum antibiotic therapy does not appear to negatively impact the clinical status of critically ill liver patients,with a similar safety profile and significant cost savings,as compared to the coadministration of rifaximin and broad-spectrum antibiotics.In agreement with Ward et al,a recently published double-blind,randomized controlled trial provided additional evidence to support the feasibility of withholding rifaximin during broad-spectrum antibiotic therapy in critically ill cirrhotic patients.However,given the limitations of these studies,further multicentric and prospective clinical trials,enrolling a larger sample of non-critically ill patients,are needed to better establish the role of rifaximin in this setting.