scholarly journals Sodium Valproate versus Continuous Infusion of Haloperidol in Management of Agitated Critically Ill Patients

2019 ◽  
Vol 7 (15) ◽  
pp. 2440-2443
Author(s):  
Ramadan Khalil ◽  
Mohamed Soliman ◽  
Mohamed Omer ◽  
Kamel Abdel Aziz ◽  
Khaled Hussein

AIM: Describe the efficacy and safety of valproate and haloperidol infusion in controlling agitation in the intensive care unit (ICU). MATERIAL AND METHODS: Prospective study on 100 critically ill patients with agitation in Kasralainy Hospital over the period from May 2016 to June 2017.patients were divided into two groups, each group included 50 patients, 1st group patients received Depakene orally, and 2nd group patients received haloperidol by i.v infusion for 72 h. Richmond agitation sedation score and doses of additional sedative drugs were noted and calculated daily in the first three days. RESULTS: Our study showed that valproate was equal in efficacy in controlling agitation; decreasing the RAAS significantly after 48 h from initiation (2.52 ± 0.61 vs 0.28 ± 0.54 with p < 0.001) for Depakene and (2.6 ± 0.67 vs 0.34 ± 0.48 with p < 0.001) for haloperidol. There was also a decrease in the doses of additional sedative drugs used to control agitation (midazolam & propofol) after 48 h from drug initiation. Both drugs therapy was associated with decrease in heart rate (89 ± 20 vs 86.6 ± 13.6 with p = 0.002 for valproate and 99.8 ± 23.3 vs 91 ± 16.7 with p < 0.001 for haloperidol). They did not affect blood pressure. Haloperidol therapy was associated with significant QTc prolongation. CONCLUSION: Valproate was equal in efficacy as haloperidol infusion in controlling agitation in ICU and decreasing the doses of additional sedative drugs used after 48 h from initiation.

2021 ◽  
Vol 8 ◽  
Author(s):  
Bin Zhou ◽  
Liang-Ying Lin ◽  
Xiao-Ai Liu ◽  
Ye-Sheng Ling ◽  
Yuan-Yuan Zhang ◽  
...  

Background: Invasive blood pressure (IBP) measurement is common in the intensive care unit, although its association with in-hospital mortality in critically ill patients with hypertension is poorly understood.Methods and Results: A total of 11,732 critically ill patients with hypertension from the eICU-Collaborative Research Database (eICU-CRD) were enrolled. Patients were divided into 2 groups according to whether they received IBP. The primary outcome in this study was in-hospital mortality. Propensity score matching (PSM) and inverse probability of treatment weighing (IPTW) models were used to balance the confounding covariates. Multivariable logistic regression was used to evaluate the association between IBP measurement and hospital mortality. The IBP group had a higher in-hospital mortality rate than the no IBP group in the primary cohort [238 (8.7%) vs. 581 (6.5%), p &lt; 0.001]. In the PSM cohort, the IBP group had a lower in-hospital mortality rate than the no IBP group [187 (8.0%) vs. 241 (10.3%), p = 0.006]. IBP measurement was associated with lower in-hospital mortality in the PSM cohort (odds ratio, 0.73, 95% confidence interval, 0.59–0.92) and in the IPTW cohort (odds ratio, 0.81, 95% confidence interval, 0.67–0.99). Sensitivity analyses showed similar results in the subgroups with high body mass index and no sepsis.Conclusions: In conclusion, IBP measurement was associated with lower in-hospital mortality in critically ill patients with hypertension, highlighting the importance of IBP measurement in the intensive care unit.


2020 ◽  
Author(s):  
Gloria Hyunjung Kwak ◽  
Lowell Ling ◽  
Pan Hui

Abstract BackgroundPrevious models on prediction of shock mostly focused on septic shock and often required laboratory results in their models. Database analyses often report only limited data pre-processing which may introduce significant bias into machine classifiers. The purpose of this study was to use deep learning approaches to predict vasopressor requirement for critically ill patients within 24 hours of ICU admission using only vital signs. Performance bias from relative missing data and inadequate matching was assessed. MethodsWe used data from the Medical Information Mart for Intensive Care III database and the eICU Collaborative Research Database to develop a vasopressor prediction model. We performed systematic data pre-processing using matching of cohorts, oversampling and imputation to control for bias, class imbalance and missing data. After pre-processing we used bidirectional long short-term memory (Bi-LSTM), a multivariate time series model to predict the need for vasopressor therapy using serial physiological data collected 21 hours prior to prediction time. ResultsUsing data from 10,941 critically ill patients from 209 ICUs, our Bi-LSTM model achieved an initial area under the curve (AUC) of 0.96 (95%CI 0.96-0.96) to predict the need for vasopressor therapy in 2 hours within the first day of ICU admission. After matching to control class imbalance, the Bi-LSTM model had AUC of 0.83 (95%CI 0.82-0.83). Heart rate, respiratory rate and mean arterial pressure contributed most to the model amongst other serial physiological variables of systolic blood pressure, diastolic blood pressure, pulse oximetry and temperature. ConclusionsWe used Bi-LSTM to develop a model to predict the need for vasopressor for critically ill patients for the first 24 hours of ICU admission. With attention mechanism, respiratory rate, mean arterial pressure and heart rate were identified as key sequential determinants of vasopressor requirements. Although rigorous data pre-processing such as missing value analysis and class matching reduced predictive performance, it minimized bias in data and should be performed for database studies.


Author(s):  
M. Ostermann ◽  
A. Schneider ◽  
T. Rimmele ◽  
I. Bobek ◽  
M. van Dam ◽  
...  

Abstract Purpose Critical Care Nephrology is an emerging sub-specialty of Critical Care. Despite increasing awareness about the serious impact of acute kidney injury (AKI) and renal replacement therapy (RRT), important knowledge gaps persist. This report represents a summary of a 1-day meeting of the AKI section of the European Society of Intensive Care Medicine (ESICM) identifying priorities for future AKI research. Methods International Members of the AKI section of the ESICM were selected and allocated to one of three subgroups: “AKI diagnosis and evaluation”, “Medical management of AKI” and “Renal Replacement Therapy for AKI.” Using a modified Delphi methodology, each group identified knowledge gaps and developed potential proposals for future collaborative research. Results The following key research projects were developed: Systematic reviews: (a) epidemiology of AKI with stratification by patient cohorts and diagnostic criteria; (b) role of higher blood pressure targets in patients with hypertension admitted to the Intensive Care Unit, and (c) specific clearance characteristics of different modalities of continuous renal replacement therapy (CRRT). Observational studies: (a) epidemiology of critically ill patients according to AKI duration, and (b) current clinical practice of CRRT. Intervention studies:( a) Comparison of different blood pressure targets in critically ill patients with hypertension, and (b) comparison of clearance of solutes with various molecular weights between different CRRT modalities. Conclusion Consensus was reached on a future research agenda for the AKI section of the ESICM.


TH Open ◽  
2021 ◽  
Vol 05 (02) ◽  
pp. e134-e138
Author(s):  
Anke Pape ◽  
Jan T. Kielstein ◽  
Tillman Krüger ◽  
Thomas Fühner ◽  
Reinhard Brunkhorst

AbstractThe coronavirus disease 2019 (COVID-19) pandemic has a serious impact on health and economics worldwide. Even though the majority of patients present with moderate and mild symptoms, yet a considerable portion of patients need to be treated in the intensive care unit. Aside from dexamethasone, there is no established pharmacological therapy. Moreover, some of the currently tested drugs are contraindicated for special patient populations like remdesivir for patients with severely impaired renal function. On this background, several extracorporeal treatments are currently explored concerning their potential to improve the clinical course and outcome of critically ill patients with COVID-19. Here, we report the use of the Seraph 100 Microbind Affinity filter, which is licensed in the European Union for the removal of pathogens. Authorization for emergency use in patients with COVID-19 admitted to the intensive care unit with confirmed or imminent respiratory failure was granted by the U.S. Food and Drug Administration on April 17, 2020.A 53-year-old Caucasian male with a severe COVID-19 infection was treated with a Seraph Microbind Affinity filter hemoperfusion after clinical deterioration and commencement of mechanical ventilation. The 70-minute treatment at a blood flow of 200 mL/minute was well tolerated, and the patient was hemodynamically stable. The hemoperfusion reduced D-dimers dramatically.This case report suggests that the use of Seraph 100 Microbind Affinity filter hemoperfusion might have positive effects on the clinical course of critically ill patients with COVID-19. However, future prospective collection of data ideally in randomized trials will have to confirm whether the use of Seraph 100 Microbind Affinity filter hemoperfusion is an option of the treatment for COVID-19.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Stephana J. Moss ◽  
Krista Wollny ◽  
Therese G. Poulin ◽  
Deborah J. Cook ◽  
Henry T. Stelfox ◽  
...  

Abstract Background Informal caregivers of critically ill patients in intensive care unit (ICUs) experience negative psychological sequelae that worsen after death. We synthesized outcomes reported from ICU bereavement interventions intended to improve informal caregivers’ ability to cope with grief. Data sources MEDLINE, EMBASE, CINAHL and PsycINFO from inception to October 2020. Study selection Randomized controlled trials (RCTs) of bereavement interventions to support informal caregivers of adult patients who died in ICU. Data extraction Two reviewers independently extracted data in duplicate. Narrative synthesis was conducted. Data synthesis Bereavement interventions were categorized according to the UK National Institute for Health and Clinical Excellence three-tiered model of bereavement support according to the level of need: (1) Universal information provided to all those bereaved; (2) Selected or targeted non-specialist support provided to those who are at-risk of developing complex needs; and/or (3) Professional specialist interventions provided to those with a high level of complex needs. Outcome measures were synthesized according to core outcomes established for evaluating bereavement support for adults who have lost other adults to illness. Results Three studies of ICU bereavement interventions from 31 ICUs across 26 hospitals were included. One trial examining the effect of family presence at brain death assessment integrated all three categories of support but did not report significant improvement in emotional or psychological distress. Two other trials assessed a condolence letter intervention, which did not decrease grief symptoms and may have increased symptoms of depression and post-traumatic stress disorder, and a storytelling intervention that found no significant improvements in anxiety, depression, post-traumatic stress, or complicated grief. Four of nine core bereavement outcomes were not assessed anytime in follow-up. Conclusions Currently available trial evidence is sparse and does not support the use of bereavement interventions for informal caregivers of critically ill patients who die in the ICU.


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