scholarly journals Usefulness of oxidative stress marker evaluation at admission to the intensive care unit in patients with COVID-19

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110277
Author(s):  
Hayrettin Daskaya ◽  
Sinan Yilmaz ◽  
Harun Uysal ◽  
Muhittin Calim ◽  
Bilge Sümbül ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Severity ◽  
Oxidative Stress Marker ◽  
Icu Admission ◽  
Stress Marker ◽  
Icu Discharge ◽  
Discharge Status ◽  
Marker Status

Objective Two critical processes in the coronavirus disease 2019 (COVID-19) pandemic involve assessing patients’ intensive care needs and predicting disease progression during patients’ intensive care unit (ICU) stay. We aimed to evaluate oxidative stress marker status at ICU admission and ICU discharge status in patients with COVID-19. Methods We included patients in a tertiary referral center ICU during June–December 2020. Scores of Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and clinical severity, radiologic scores, and healthy discharge status were noted. We collected peripheral blood samples at ICU admission to evaluate total antioxidants, total oxidants, catalase, and myeloperoxidase levels. Results Thirty-one (24 male, 7 female) patients were included. At ICU admission, patients’ mean APACHE II score at ICU admission was 17.61 ± 8.9; the mean SOFA score was 6.29 ± 3.16. There was no significant relationship between clinical severity and oxidative stress (OS) markers nor between radiological imaging and COVID-19 data classification and OS levels. Differences in OS levels between patients with healthy and exitus discharge status were not significant. Conclusions We found no significant relationship between oxidative stress marker status in patients with COVID-19 at ICU admission and patients’ ICU discharge status.

Role of Ischemia Modified Albumin Serum Levels as an Oxidative Stress Marker in Children with Diabetic Ketoacidosis

2019 ◽  
Vol 22 (8) ◽  
pp. 577-581
Author(s):  
Mutlu U. Yazıcı ◽  
Ganime Ayar ◽  
Senay Savas-Erdeve ◽  
Ebru Azapağası ◽  
Salim Neşelioğlu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Diabetic Ketoacidosis ◽  
Pediatric Patients ◽  
Serum Levels ◽  
Oxidative Stress Marker ◽  
Control Group ◽  
Study Group ◽  
Ischemia Modified Albumin

Aim and Objective: Ischemia modified albumin (IMA) is a biomarker that has been introduced recently for use in the evaluation of oxidative stress. The aim of this study was to measure the ischemia modified albumin serum levels in pediatric patients with diabetic ketoacidosis (DKA) during acidosis and after the patient recovered from acidosis and to compare these with the control group. Materials and Methods: Pediatric patients with Type I diabetes mellitus (T1DM) who were admitted to the pediatric intensive care unit with the diabetic ketoacidosis were assigned as the study group and healthy children who were admitted to the outpatient clinic and decided as healthy after clinic and laboratory evaluation were selected as the control group. IMA and adjusted IMA levels were evaluated in the blood samples from the control group and the study group when admitted first time to the intensive care unit during the acidosis period (DKA before treatment, DKA-BT), and after recovering from acidosis (DKA after treatment, DKA-AT). Results: A total of 24 pediatric patients with diabetic ketoacidosis and 30 healthy control children matching age and sex were included in the current study. The albumin levels in pediatric patients with T1DM during DKA-BT were higher than the albumin levels after acidosis (4.101±0.373, 3.854±0.369 g/dL, respectively) (p<0.05). However, there was no significant difference when these values were compared to the control group. Mean values of IMA and Adj-IMA were statistically higher in DKAAT compared to the control group (0.748±0.150 vs 0.591±0.099, p< 0.001; 0.708±0.125 vs 0.607±0.824, p< 0.001, respectively). IMA and adjusted IMA levels measured after recovered from acidosis were significantly higher compared to the level of IMA during DKA (0.748±0.150 vs 0.606±0.105 as absorbance unit, p<0.001; 0.708±0.125 vs 0.625±0.100, p<0.05, respectively). Conclusion: In children with T1DM, even though acidosis recovered following the treatment in diabetic ketoacidosis, which is an oxidative stress marker, the ischemia modified albumin levels and adjusted ischemia modified albumin levels were high.

Value of Performing Active Surveillance Cultures on Intensive Care Unit Discharge for Detection of Methicillin-ResistantStaphylococcus aureus

2007 ◽  
Vol 28 (6) ◽  
pp. 666-670 ◽  
Author(s):  
Jon P. Furuno ◽  
Anthony D. Harris ◽  
Marc-Oliver Wright ◽  
David M. Hartley ◽  
Jessina C. McGregor ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Active Surveillance ◽  
Tertiary Care ◽  
Large Percentage ◽  
Care Hospital ◽  
Icu Admission ◽  
Surveillance Cultures ◽  
Icu Discharge ◽  
Mrsa Colonization

Objective.To quantify the value of performing active surveillance cultures for detection of methicillin-resistantStaphylococcus aureus(MRSA) on intensive care unit (ICU) discharge.Design.Prospective cohort study.Setting.Medical ICU (MICU) and surgical ICU (SICU) of a tertiary care hospital.Participants.We analyzed data on adult patients who were admitted to the MICU or SICU between January 17, 2001, and December 31, 2004. All participants had a length of ICU stay of at least 48 hours and had surveillance cultures of anterior nares specimens performed on ICU admission and discharge. Patients who had MRSA-positive clinical cultures in the ICU were excluded.Results.Of 2,918 eligible patients, 178 (6%) were colonized with MRSA on ICU admission, and 65 (2%) acquired MRSA in the ICU and were identified by results of discharge surveillance cultures. Patients with MRSA colonization confirmed by results of discharge cultures spent 853 days in non-ICU wards after ICU discharge, which represented 27% of the total number of MRSA colonization-days during hospitalization in non-ICU wards for patients discharged from the ICU.Conclusions.Surveillance cultures of nares specimens collected at ICU discharge identified a large percentage of MRSA-colonized patients who would not have been identified on the basis of results of clinical cultures or admission surveillance cultures alone. Furthermore, these patients were responsible for a large percentage of the total number of MRSA colonization-days during hospitalization in non-ICU wards for patients discharged from the ICU.

scholarly journals Factors associated with survival of patients with solid Cancer alive after intensive care unit discharge between 2005 and 2013

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hubert Gheerbrant ◽  
Jean-François Timsit ◽  
Nicolas Terzi ◽  
Stéphane Ruckly ◽  
Mathieu Laramas ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Cancer Patients ◽  
Solid Cancer ◽  
Factors Associated ◽  
Icu Admission ◽  
Icu Discharge ◽  
Treatment Limitation ◽  
Anticancer Treatment ◽  
Ecog Ps

Abstract Background At intensive care unit (ICU) admission, the issue about prognosis of critically ill cancer patients is of clinical interest, especially after ICU discharge. Our objective was to assess the factors associated with 3- and 6-month survival of ICU cancer survivors. Methods Based on the French OutcomeRea™ database, we included solid cancer patients discharged alive, between December 2005 and November 2013, from the medical ICU of the university hospital in Grenoble, France. Patient characteristics and outcome at 3 and 6 months following ICU discharge were extracted from available database. Results Of the 361 cancer patients with unscheduled admissions, 253 (70%) were discharged alive from ICU. The main primary cancer sites were digestive (31%) and thoracic (26%). The 3- and 6-month mortality rates were 33 and 41%, respectively. Factors independently associated with 6-month mortality included ECOG performance status (ECOG-PS) of 3–4 (OR,3.74; 95%CI: 1.67–8.37), metastatic disease (OR,2.56; 95%CI: 1.34–4.90), admission for cancer progression (OR,2.31; 95%CI: 1.14–4.68), SAPS II of 45 to 58 (OR,4.19; 95%CI: 1.76–9.97), and treatment limitation decision at ICU admission (OR,4.00; 95%CI: 1.64–9.77). Interestingly, previous cancer chemotherapy prior to ICU admission was independently associated with lower 3-month mortality (OR, 0.38; 95%CI: 0.19–0.75). Among patients with an ECOG-PS 0–1 at admission, 70% (n = 66) and 61% (n = 57) displayed an ECOG-PS 0–2 at 3- and 6-months, respectively. At 3 months, 74 (55%) patients received anticancer treatment, 13 (8%) were given exclusive palliative care. Conclusions Factors associated with 6-month mortality are almost the same as those known to be associated with ICU mortality. We highlight that most patients recovered an ECOG-PS of 0–2 at 3 and 6 months, in particular those with a good ECOG-PS at ICU admission and could benefit from an anticancer treatment following ICU discharge.

Pneumothorax in the Intensive Care Unit

2006 ◽  
Vol 104 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Arnaud de Lassence ◽  
Jean-François Timsit ◽  
Muriel Tafflet ◽  
Élie Azoulay ◽  
Samir Jamali ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Excess Risk ◽  
Central Vein ◽  
Entire Cohort ◽  
Icu Admission ◽  
Icu Discharge ◽  
Life Threatening ◽  
Immunodeficiency Syndrome

Background The risk factors and outcomes of critically ill patients with iatrogenic pneumothorax (IP) have not been studied in a large unselected intensive care unit (ICU) population. Methods The authors studied a prospective cohort of adults admitted for more than 24 h. Data were collected at ICU admission and daily by senior physicians until ICU discharge. Risk factors for IP were identified in the entire cohort. A matched nested case-control study was used to evaluate the excess risk of IP in decedents. Results Of the 3,499 patients, 69 with pneumothorax before ICU admission were excluded. Of the remaining 3,430 patients, 94 experienced IP within 30 days (42 due to barotrauma and 52 due to invasive procedures). The cumulative incidence of IP was 1.4% (95% confidence interval [CI], 1.0-1.8) on day 5 and 3.0% (95% CI, 2.4-3.6) on day 30. Risk factors for IP (hazard ratio [95% CI]) were body weight less than 80 kg (2.4 [1.3-4.2]), history of adult immunodeficiency syndrome (2.8 [1.2-6.4]), diagnosis of acute respiratory distress syndrome (5.3 [2.6-11]) or cardiogenic pulmonary edema at admission (2.0 [1.1-3.6]), central vein or pulmonary artery catheter insertion (1.7 [1.0-2.7]), and use of inotropic agents during the first 24 h (2.1 [1.3-3.4]). Excess risk of IP in decedents was 2.6 (95% CI, 1.3-4.9; P = 0.004). Conclusion Iatrogenic pneumothorax is a life-threatening complication seen in 3% of ICU patients. Incorporating risk factors for IP into preventive strategies should reduce the occurrence of IP.

scholarly journals The Effect of Intensive Care Unit Admission on Smokers’ Attitudes and Their Likelihood of Quitting Smoking

2017 ◽  
Vol 45 (6) ◽  
pp. 720-726
Author(s):  
C. M. Polmear ◽  
H. Nathan ◽  
S. Bates ◽  
C. French ◽  
J. Odisho ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Smoking Cessation ◽  
Intensive Care ◽  
Median Number ◽  
Inclusion Criteria ◽  
Icu Admission ◽  
Smoking Cessation Counselling ◽  
Icu Length Of Stay ◽  
Icu Discharge ◽  
Quitting Smoking

We sought to estimate the proportion of patients admitted to a metropolitan intensive care unit (ICU) who were current smokers, and the relationships between ICU survivors who smoked and smoking cessation and/or reduction six months post–ICU discharge. We conducted a prospective cohort study at a metropolitan level III ICU in Melbourne, Victoria. One hundred consecutive patients who met the inclusion criteria were included in the study. Inclusion criteria consisted of patients who were smokers at time of ICU admission, had an ICU length of stay greater than one day, survived to ICU discharge, and provided written informed consent. A purpose-designed questionnaire which included the Fagerstrom test for nicotine dependence and evaluation of patients’ attitude towards smoking cessation was completed by participants following ICU discharge and prior to hospital discharge. Participants were re-interviewed over the phone at six months post–ICU discharge. Of the 1,062 patients admitted to ICU, 253 (23%) were current smokers and 100 were enrolled. Six months post–ICU discharge, 28 (33%) of the 86 participants who were alive and contactable had quit smoking and 35 (41%) had reduced smoking. The median number of reported cigarettes smoked per day reduced by 40%. Participants who initially believed their ICU admission was smoking-related were more likely to have quit six months post–ICU discharge (odds ratio 2.98; 95% confidence intervals 1.07, 8.26; P=0.036). Six months post–ICU discharge, 63/86 (74%) of participants had quit or reduced their smoking. Further research into targeted smoking cessation counselling for ICU survivors is indicated.

Is Admission to the Intensive Care Unit Associated With Chronic Opioid Use? A 4-Year Follow-Up of Intensive Care Unit Survivors

2015 ◽  
Vol 32 (7) ◽  
pp. 429-435 ◽  
Author(s):  
Paul B. Yaffe ◽  
Robert S. Green ◽  
Michael B. Butler ◽  
Tobias Witter
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Care Center ◽  
Tertiary Care ◽  
Hospital Length Of Stay ◽  
Opioid Use ◽  
Icu Admission ◽  
Icu Discharge ◽  
Chronic Opioid Use

Purpose: To describe opioid use before and after intensive care unit (ICU) admission and to identify factors associated with chronic opioid use upto 4 years after ICU discharge. Methods: Retrospective review of adult patients admitted to the ICU at a tertiary care center between January 1, 2005, to December 31, 2008. We defined “nonuser,” “intermittent,” and “chronic” opioid status by abstinence, use in <70%, and >70% of days for a given time period, respectively. We assessed opioid use at 3 months prior to ICU admission, at discharge, and annually for upto 4 years following ICU discharge. Results: A total of 2595 ICU patients were included for surgical (48.6%), medical (38.4%), and undetermined (13%) indications. The study population included both elective (26.9%) and emergent (73.1%) admissions. Three months prior to ICU admission, 76.9% were nonusers, 16.9% used opioids intermittently, and 6.2% used opioids chronically. We found an increase in nonuser patients from 87.8% in the early post-ICU period to 95.6% at 48-month follow-up. Consequently, intermittent and chronic opioid use dropped to 8.6% and 3.6% at discharge and 2.6% and 1.8% at 48-month follow-up, respectively. Prolonged hospital length of stay was associated with chronic opioid use. Conclusion: Admission to ICU and duration of ICU stay were not associated with chronic opioid use.

Trace elements as an oxidative stress marker in women with gestational diabetes and their neonates

2017 ◽  
Author(s):  
Georgios Boutzios ◽  
Eleni Koukoulioti ◽  
Ioannis Papoutsis ◽  
Sotirios Athanaselis ◽  
Gerasimos Tsourouflis ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Trace Elements ◽  
Gestational Diabetes ◽  
Oxidative Stress Marker ◽  
Stress Marker

scholarly journals In-Hospital Outcomes in Patients Admitted to the Intensive Care Unit after a Return Visit to the Emergency Department

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 431
Author(s):  
Chun-Fu Lin ◽  
Yi-Syun Huang ◽  
Ming-Ta Tsai ◽  
Kuan-Han Wu ◽  
Chien-Fu Lin ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Regression Analysis ◽  
Intensive Care ◽  
Medical Cost ◽  
Total Medical Cost ◽  
Hospital Outcomes ◽  
Return Visit ◽  
Icu Admission ◽  
Ed Visits

Background: Intensive care unit (ICU) admission following a short-term emergency department (ED) revisit has been considered a particularly undesirable outcome among return-visit patients, although their in-hospital prognosis has not been discussed. We aimed to compare clinical outcomes between adult patients admitted to the ICU after unscheduled ED revisits and those admitted during index ED visits. Method: This retrospective study was conducted at two tertiary medical centers in Taiwan from 1 January 2016 to 31 December 2017. All adult non-trauma patients admitted to the ICU directly via the ED during the study period were included and divided into two comparison groups: patients admitted to the ICU during index ED visits and those admitted to the ICU during return ED visits. The outcomes of interest included in-hospital mortality, mechanical ventilation (MV) support, profound shock, hospital length of stay (HLOS), and total medical cost. Results: Altogether, 12,075 patients with a mean (standard deviation) age of 64.6 (15.7) years were included. Among these, 5.3% were admitted to the ICU following a return ED visit within 14 days and 3.1% were admitted following a return ED visit within 7 days. After adjusting for confounding factors for multivariate regression analysis, ICU admission following an ED revisit within 14 days was not associated with an increased mortality rate (adjusted odds ratio (aOR): 1.08, 95% confidence interval (CI): 0.89 to 1.32), MV support (aOR: 1.06, 95% CI: 0.89 to 1.26), profound shock (aOR: 0.99, 95% CI: 0.84 to 1.18), prolonged HLOS (difference: 0.04 days, 95% CI: −1.02 to 1.09), and increased total medical cost (difference: USD 361, 95% CI: −303 to 1025). Similar results were observed after the regression analysis in patients that had a 7-day return visit. Conclusion: ICU admission following a return ED visit was not associated with major in-hospital outcomes including mortality, MV support, shock, increased HLOS, or medical cost. Although ICU admissions following ED revisits are considered serious adverse events, they may not indicate poor prognosis in ED practice.

scholarly journals Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Youenn Jouan ◽  
Leslie Grammatico-Guillon ◽  
Noémie Teixera ◽  
Claire Hassen-Khodja ◽  
Christophe Gaborit ◽  
...  
Keyword(s):  
Septic Shock ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Critical Illness ◽  
Length Of Stay ◽  
Population Based ◽  
Hospital Length Of Stay ◽  
Healthcare Use ◽  
Icu Admission ◽  
Icu Discharge

Abstract Background The post intensive care syndrome (PICS) gathers various disabilities, associated with a substantial healthcare use. However, patients’ comorbidities and active medical conditions prior to intensive care unit (ICU) admission may partly drive healthcare use after ICU discharge. To better understand retative contribution of critical illness and PICS—compared to pre-existing comorbidities—as potential determinant of post-critical illness healthcare use, we conducted a population-based evaluation of patients’ healthcare use trajectories. Results Using discharge databases in a 2.5-million-people region in France, we retrieved, over 3 years, all adult patients admitted in ICU for septic shock or acute respiratory distress syndrome (ARDS), intubated at least 5 days and discharged alive from hospital: 882 patients were included. Median duration of mechanical ventilation was 11 days (interquartile ranges [IQR] 8;20), mean SAPS2 was 49, and median hospital length of stay was 42 days (IQR 29;64). Healthcare use (days spent in healthcare facilities) was analyzed 2 years before and 2 years after ICU admission. Prior to ICU admission, we observed, at the scale of the whole study population, a progressive increase in healthcare use. Healthcare trajectories were then explored at individual level, and patients were assembled according to their individual pre-ICU healthcare use trajectory by clusterization with the K-Means method. Interestingly, this revealed diverse trajectories, identifying patients with elevated and increasing healthcare use (n = 126), and two main groups with low (n = 476) or no (n = 251) pre-ICU healthcare use. In ICU, however, SAPS2, duration of mechanical ventilation and length of stay were not different across the groups. Analysis of post-ICU healthcare trajectories for each group revealed that patients with low or no pre-ICU healthcare (which represented 83% of the population) switched to a persistent and elevated healthcare use during the 2 years post-ICU. Conclusion For 83% of ARDS/septic shock survivors, critical illness appears to have a pivotal role in healthcare trajectories, with a switch from a low and stable healthcare use prior to ICU to a sustained higher healthcare recourse 2 years after ICU discharge. This underpins the hypothesis of long-term critical illness and PICS-related quantifiable consequences in healthcare use, measurable at a population level.

scholarly journals Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bongjin Lee ◽  
Kyunghoon Kim ◽  
Hyejin Hwang ◽  
You Sun Kim ◽  
Eun Hee Chung ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Validation Cohort ◽  
External Validation ◽  
Learning Model ◽  
Derivation Cohort ◽  
Icu Admission ◽  
Early Stages ◽  
Machine Learning Model

AbstractThe aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hospitals were enrolled. Three hospitals were designated as the derivation cohort for machine learning model development and internal validation, and the other hospital was designated as the validation cohort for external validation. We developed a random forest (RF) model that predicts pediatric mortality within 72 h of ICU admission, evaluated its performance, and compared it with the Pediatric Index of Mortality 3 (PIM 3). The area under the receiver operating characteristic curve (AUROC) of RF model was 0.942 (95% confidence interval [CI] = 0.912–0.972) in the derivation cohort and 0.906 (95% CI = 0.900–0.912) in the validation cohort. In contrast, the AUROC of PIM 3 was 0.892 (95% CI = 0.878–0.906) in the derivation cohort and 0.845 (95% CI = 0.817–0.873) in the validation cohort. The RF model in our study showed improved predictive performance in terms of both internal and external validation and was superior even when compared to PIM 3.

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