scholarly journals Secondary Bacterial Infections in Critical Ill Patients With Coronavirus Disease 2019

2020 ◽  
Vol 7 (6) ◽  
Author(s):  
Yiqi Fu ◽  
Qing Yang ◽  
Min Xu ◽  
Haishen Kong ◽  
Hongchao Chen ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Nosocomial Infection ◽  
Bacterial Infection ◽  
Critically Ill Patients ◽  
Bacterial Infections ◽  
Critical Ill Patients ◽  
Prevention Of Nosocomial Infection ◽  
Critical Ill

Secondary bacterial infections occurred in 13.9% (5 of 36) of critical ill patients with coronavirus disease 2019. All 5 patients had been admitted to intensive care unit and received mechanical ventilation before developing bacterial infection. Active surveillance of culture should be performed for critically ill patients. Prevention of nosocomial infection should to be taken seriously.

scholarly journals Implementation of a Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: the Optimizing Antibiotic Strategies in Sepsis (OASIS) II Study

2018 ◽  
Vol 9 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Kevin J Downes ◽  
Julie C Fitzgerald ◽  
Emily Schriver ◽  
Craig L K Boge ◽  
Michael E Russo ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Bacterial Infection ◽  
Pediatric Intensive Care Unit ◽  
Bacterial Infections ◽  
Pediatric Intensive Care ◽  
Antibiotic Use ◽  
Antibiotic Administration ◽  
Period 2 ◽  
Rate Ratios

Abstract Background Biomarkers can facilitate safe antibiotic discontinuation in critically ill patients without bacterial infection. Methods We tested the ability of a biomarker-based algorithm to reduce excess antibiotic administration in patients with systemic inflammatory response syndrome (SIRS) without bacterial infections (uninfected) in our pediatric intensive care unit (PICU). The algorithm suggested that PICU clinicians stop antibiotics if (1) C-reactive protein <4 mg/dL and procalcitonin <1 ng/mL at SIRS onset and (2) no evidence of bacterial infection by exam/testing by 48 hours. We evaluated excess broad-spectrum antibiotic use, defined as administration on days 3–9 after SIRS onset in uninfected children. Incidence rate ratios (IRRs) compared unadjusted excess length of therapy (LOT) in the 34 months before (Period 1) and 12 months after (Period 2) implementation of this algorithm, stratified by biomarker values. Segmented linear regression evaluated excess LOT among all uninfected episodes over time and between the periods. Results We identified 457 eligible SIRS episodes without bacterial infection, 333 in Period 1 and 124 in Period 2. When both biomarkers were below the algorithm’s cut-points (n = 48 Period 1, n = 31 Period 2), unadjusted excess LOT was lower in Period 2 (IRR, 0.53; 95% confidence interval, 0.30–0.93). Among all 457 uninfected episodes, there were no significant differences in LOT (coefficient 0.9, P = .99) between the periods on segmented regression. Conclusions Implementation of a biomarker-based algorithm did not decrease overall antibiotic exposure among all uninfected patients in our PICU, although exposures were reduced in the subset of SIRS episodes where biomarkers were low.

scholarly journals MP196PROSNOSTIC VALUE OF URINE NGAL (UNGAL) AND IL18 (UIL18) IN CRITICAL ILL PATIENTS AT THE ADMISSION TO AN INTENSIVE CARE UNIT (ICU)

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i406-i406
Author(s):  
Carmen Bernis ◽  
Marta Chicot ◽  
Raquel Ferreiros ◽  
Diego A Rodriguez- Serrano ◽  
Laura Salanova ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Urine Ngal ◽  
Critical Ill Patients ◽  
Critical Ill

scholarly journals Association of multiple glycemic parameters at intensive care unit admission with mortality and clinical outcomes in critically ill patients

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Priscila Bellaver ◽  
Ariell F. Schaeffer ◽  
Diego P. Dullius ◽  
Marina V. Viana ◽  
Cristiane B. Leitão ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Renal Replacement Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Glycemic Variability ◽  
Stress Hyperglycemia ◽  
Critically Ill Adults ◽  
Ill Adults

AbstractThe aim of the present study was to investigate the association of multiple glycemic parameters at intensive care unit (ICU) admission with outcomes in critically ill patients. Critically ill adults admitted to ICU were included prospectively in the study and followed for 180 days until hospital discharge or death. Patients were assessed for glycemic gap, hypoglycemia, hyperglycemia, glycemic variability, and stress hyperglycemia ratio (SHR). A total of 542 patients were enrolled (30% with preexisting diabetes). Patients with glycemic gap >80 mg/dL had increased need for renal replacement therapy (RRT; 37.7% vs. 23.7%, p = 0.025) and shock incidence (54.7% vs. 37.4%, p = 0.014). Hypoglycemia was associated with increased mortality (54.8% vs. 35.8%, p = 0.004), need for RRT (45.1% vs. 22.3%, p < 0.001), mechanical ventilation (MV; 72.6% vs. 57.5%, p = 0.024), and shock incidence (62.9% vs. 35.8%, p < 0.001). Hyperglycemia increased mortality (44.3% vs. 34.9%, p = 0.031). Glycemic variability >40 mg/dL was associated with increased need for RRT (28.3% vs. 14.4%, p = 0.002) and shock incidence (41.4% vs.31.2%, p = 0.039). In this mixed sample of critically ill subjects, including patients with and without preexisting diabetes, glycemic gap, glycemic variability, and SHR were associated with worse outcomes, but not with mortality. Hypoglycemia and hyperglycemia were independently associated with increased mortality.

scholarly journals Etiology and Impact of Coinfections in Children Hospitalized With Community-Acquired Pneumonia

2017 ◽  
Vol 218 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Vikki G Nolan ◽  
Sandra R Arnold ◽  
Anna M Bramley ◽  
Krow Ampofo ◽  
Derek J Williams ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Length Of Stay ◽  
Intensive Care Unit Admission ◽  
Bacterial Infections ◽  
Clinical Characteristics ◽  
Community Acquired Pneumonia ◽  
Virus Infections ◽  
Oxygen Supplementation

Abstract Background Recognition that coinfections are common in children with community-acquired pneumonia (CAP) is increasing, but gaps remain in our understanding of their frequency and importance. Methods We analyzed data from 2219 children hospitalized with CAP and compared demographic and clinical characteristics and outcomes between groups with viruses alone, bacteria alone, or coinfections. We also assessed the frequency of selected pairings of codetected pathogens and their clinical characteristics. Results A total of 576 children (26%) had a coinfection. Children with only virus detected were younger, more likely to be black, and more likely to have comorbidities such as asthma, compared with children infected with typical bacteria alone. Children with virus-bacterium coinfections had a higher frequency of leukocytosis, consolidation on chest radiography, parapneumonic effusions, intensive care unit admission, and need for mechanical ventilation and an increased length of stay, compared with children infected with viruses alone. Virus-virus coinfections were generally comparable to single-virus infections, with the exception of the need for oxygen supplementation, which was higher during the first 24 hours of hospitalization in some virus-virus pairings. Conclusions Coinfections occurred in 26% of children hospitalized for CAP. Children with typical bacterial infections, alone or complicated by a viral infection, have worse outcomes than children infected with a virus alone.

scholarly journals Obesity May Not Be Associated with 28-Day Mortality, Duration of Invasive Mechanical Ventilation and Length of Intensive Care Unit and Hospital Stay in Critically Ill Patients with Severe Acute Respiratory Syndrome Coronavirus-2: A Retrospective Cohort Study

Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 674
Author(s):  
Sjaak Pouwels ◽  
Dharmanand Ramnarain ◽  
Emily Aupers ◽  
Laura Rutjes-Weurding ◽  
Jos van Oers
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Cohort Study ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Invasive Mechanical Ventilation ◽  
Significant Difference

Background and Objectives: The aim of this study was to investigate the association between obesity and 28-day mortality, duration of invasive mechanical ventilation and length of stay at the Intensive Care Unit (ICU) and hospital in patients admitted to the ICU for SARS-CoV-2 pneumonia. Materials and Methods: This was a retrospective observational cohort study in patients admitted to the ICU for SARS-CoV-2 pneumonia, in a single Dutch center. The association between obesity (body mass index > 30 kg/m2) and 28-day mortality, duration of invasive mechanical ventilation and length of ICU and hospital stay was investigated. Results: In 121 critically ill patients, pneumonia due to SARS-CoV-2 was confirmed by RT-PCR. Forty-eight patients had obesity (33.5%). The 28-day all-cause mortality was 28.1%. Patients with obesity had no significant difference in 28-day survival in Kaplan–Meier curves (log rank p 0.545) compared with patients without obesity. Obesity made no significant contribution in a multivariate Cox regression model for prediction of 28-day mortality (p = 0.124), but age and the Sequential Organ Failure Assessment (SOFA) score were significant independent factors (p < 0.001 and 0.002, respectively). No statistically significant correlation was observed between obesity and duration of invasive mechanical ventilation and length of ICU and hospital stay. Conclusion: One-third of the patients admitted to the ICU for SARS-CoV-2 pneumonia had obesity. The present study showed no relationship between obesity and 28-day mortality, duration of invasive mechanical ventilation, ICU and hospital length of stay. Further studies are needed to substantiate these findings.

scholarly journals Drug Interaction Exposures in an Intensive Care Unit: AntihypertensivePopulation

2015 ◽  
Vol 7 ◽  
pp. 41
Author(s):  
Muhammad Tahir Aziz ◽  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Drug Interaction ◽  
Drug Interactions ◽  
Adverse Drug Events ◽  
Drug Effect ◽  
Pharmacological Response ◽  
Critical Ill Patients ◽  
Drug Drug Interaction ◽  
Critical Ill

Drug-drug interaction is an event that occurs when the effects of one drug modified by another drug or food when taken concurrently or concomitantly. This interaction either reduced the effect or no effect or increased drug effect. Patient in intensive care unit (ICU) are highly susceptible to drug interactions because of the complexity of the drugs regimens they receive. Drugs may affect the Pharmacokinetics of the critical ill patients and subsequently altered the pharmacological response, which potentially lead to serious adverse drug events. Drug-drug interaction (DDI) are considered predictable and thus avoidable and manageable.

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