42 research outputs found

    Impact of ureido/carboxypenicillin resistance on the prognosis of ventilator-associated pneumonia due to Pseudomonas aeruginosa

    Get PDF
    International audienceINTRODUCTION: Although Pseudomonas aeruginosa is a leading pathogen responsible for ventilator-associated pneumonia (VAP), the excess in mortality associated with multi-resistance in patients with P. aeruginosa VAP (PA-VAP), taking into account confounders such as treatment adequacy and prior length of stay in the ICU, has not yet been adequately estimated. METHODS: A total of 223 episodes of PA-VAP recorded into the Outcomerea database were evaluated. Patients with ureido/carboxy-resistant P. aeruginosa (PRPA) were compared with those with ureido/carboxy-sensitive P. aeruginosa (PSPA) after matching on duration of ICU stay at VAP onset and adjustment for confounders. RESULTS: Factors associated with onset of PRPA-VAP were as follows: admission to the ICU with septic shock, broad-spectrum antimicrobials at admission, prior use of ureido/carboxypenicillin, and colonization with PRPA before infection. Adequate antimicrobial therapy was more often delayed in the PRPA group. The crude ICU mortality rate and the hospital mortality rate were not different between the PRPA and the PSPA groups. In multivariate analysis, after controlling for time in the ICU before VAP diagnosis, neither ICU death (odds ratio (OR) = 0.73; 95% confidence interval (CI): 0.32 to 1.69; P = 0.46) nor hospital death (OR = 0.87; 95% CI: 0.38 to 1.99; P = 0.74) were increased in the presence of PRPA infection. This result remained unchanged in the subgroup of 87 patients who received adequate antimicrobial treatment on the day of VAP diagnosis. CONCLUSIONS: After adjustment, and despite the more frequent delay in the initiation of an adequate antimicrobial therapy in these patients, resistance to ureido/carboxypenicillin was not associated with ICU or hospital death in patients with PA-VAP

    Haemodynamic response to crystalloids or colloids in shock: an exploratory subgroup analysis of a randomised controlled trial

    No full text
    for the CRISTAL InvestigatorsInternational audienceObjective To compare the haemodynamic effect of crystalloids and colloids during acute severe hypovolaemic shock.Design Exploratory subgroup analysis of a multicentre randomised controlled trial (Colloids Versus Crystalloids for the Resuscitation of the Critically Ill, CRISTAL, ClinicalTrials.gov NCT00318942).Setting CRISTAL was conducted in intensive care units in Europe, North Africa and Canada.Participants Current analysis included all patients who had a pulmonary artery catheter in place at randomisation. 220 patients (117 received crystalloids vs 103 colloids) underwent pulmonary artery catheterisation.Intervention Crystalloids versus colloids for fluid resuscitation in hypovolaemic shock.Outcome measures Haemodynamic data were collected at the time of randomisation and subsequently on days 1, 2, 3, 4, 5, 6 and 7.Results Median cumulative volume of fluid administered during the first 7 days was higher in the crystalloids group than in the colloids group (3500 (2000–6000) vs 2500 (1000–4000) mL, p=0.01). Patients in the colloids arm exhibited a lower heart rate over time compared with those allocated to the crystalloids arm (p=0.014). There was no significant difference in Cardiac Index (p=0.053), mean blood pressure (p=0.4), arterial lactates (p=0.9) or global Sequential Organ Failure Assessment score (p=0.3) over time between arms.Conclusions During acute severe hypovolaemic shock, patients monitored by a pulmonary artery catheter achieved broadly similar haemodynamic outcomes, using lower volumes of colloids than crystalloids. The heart rate was lower in the colloids arm

    Efficacy of renal replacement therapy in critically ill patients: a propensity analysis.

    Get PDF
    International audienceABSTRACT: INTRODUCTION: Although renal replacement therapy (RRT) is a common procedure in critically ill patients with acute kidney injury (AKI), its efficacy remains uncertain. Patients who receive RRT usually have higher mortality rates than those who do not. However, many differences exist in severity patterns between patients with and those without RRT and available results are further confounded by treatment selection bias since no consensus on indications for RRT has been reached so far. Our aim was to account for these biases to accurately assess RRT efficacy, with special attention to RRT timing. METHODS: We performed a propensity analysis using data of the French longitudinal prospective multicenter Outcomerea database. Two propensity scores for RRT were built to match patients who received RRT to controls who did not despite having a close probability of receiving the procedure. AKI was defined according to RIFLE criteria. The association between RRT and hospital mortality was examined through multivariate conditional logistic regression analyses to control for residual confounding. Sensitivity analyses were conducted to examine the impact of RRT timing. RESULTS: Among the 2846 study patients, 545 (19%) received RRT. Crude mortality rates were higher in patients with than in those without RRT (38% vs 17.5%, P < 0.001). After matching and adjustment, RRT was not associated with a reduced hospital mortality. The two propensity models yielded concordant results. CONCLUSIONS: In our study population, RRT failed to reduce hospital mortality. This result emphasizes the need for randomized studies comparing RRT to conservative management in selected ICU patients, with special focus on RRT timing

    Impact of adverse events on outcomes in intensive care unit patients.

    No full text
    International audienceOBJECTIVE: To examine the association between predefined adverse events (AE) (including nosocomial infections) and intensive care unit (ICU) mortality, controlling for multiple adverse events in the same patient and confounding variables. DESIGN: Prospective observational cohort study of the French OUTCOMEREA multicenter database. SETTING: Twelve medical or surgical ICUs. PATIENTS: Unselected patients hospitalized for > or = 48 hrs enrolled between 1997 and 2003. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of the 3,611 patients included, 1415 (39.2%) experienced one or more AEs and 821 (22.7%) had two or more AEs. Mean number of AEs per patient was 2.8 (range, 1-26). Six AEs were associated with death: primary or catheter-related bloodstream infection (BSI) (odds ratio [OR], 2.92; 95% confidence interval [CI], 1.6-5.32), BSI from other sources (OR, 5.7; 95% CI, 2.66-12.05), nonbacteremic pneumonia (OR, 1.69; 95% CI, 1.17-2.44), deep and organ/space surgical site infection without BSI (OR, 3; 95% CI, 1.3-6.8), pneumothorax (OR, 3.1; 95% CI, 1.5-6.3), and gastrointestinal bleeding (OR, 2.6; 95% CI, 1.4-4.9). The results were not changed when the analysis was confined to patients with mechanical ventilation on day 1, intermediate severity of illness (Simplified Acute Physiology Score II between 35 and 55), no treatment-limitation decisions, or no cardiac arrest in the ICU. CONCLUSIONS: AEs were common and often occurred in combination in individual patients. Several AEs independently contributed to death. Creating a safe ICU environment is a challenging task that deserves careful attention from ICU physicians

    Mortality associated with timing of admission to and discharge from ICU: a retrospective cohort study

    Get PDF
    BACKGROUND: Although the association between mortality and admission to intensive care units (ICU) in the "after hours" (weekends and nights) has been the topic of extensive investigation, the timing of discharge from ICU and outcome has been less well investigated. The objective of this study was to assess effect of timing of admission to and discharge from ICUs and subsequent risk for death. METHODS: Adults (≥18 years) admitted to French ICUs participating in Outcomerea between January 2006 and November 2010 were included. RESULTS: Among the 7,380 patients included, 61% (4,481) were male, the median age was 62 (IQR, 49-75) years, and the median SAPS II score was 40 (IQR, 28-56). Admissions to ICU occurred during weekends (Saturday and Sunday) in 1,708 (23%) cases, during the night (18:00-07:59) in 3,855 (52%), and on nights and/or weekends in 4,659 (63%) cases. Among 5,992 survivors to ICU discharge, 903 (15%) were discharged on weekends, 659 (11%) at night, and 1,434 (24%) on nights and/or weekends. After controlling for a number of co-variates using logistic regression analysis, admission during the after hours was not associated with an increased risk for death. However, patients discharged from ICU on nights were at higher adjusted risk (odds ratio, 1.54; 95% confidence interval, 1.12-2.11) for death. CONCLUSIONS: In this study, ICU discharge at night but not admission was associated with a significant increased risk for death. Further studies are needed to examine whether minimizing night time discharges from ICU may improve outcome

    Association between hypernatraemia acquired in the ICU and mortality: a cohort study.

    No full text
    International audienceBACKGROUND: The aim of this study is to describe the prevalence and outcomes of intensive care unit (ICU)-acquired hypernatraemia (IAH). METHODS: A retrospective analysis was performed on a prospectively collected database fed by 12 ICUs. Subjects are unselected patients with ICU stay >48 h. Mild and moderate to severe hypernatraemia were defined as serum sodium >145 and >150 mmol/L, respectively. IAH was hypernatraemia occurring >/=24 h after ICU admission in patients with normal serum sodium at ICU admission. RESULTS: Of the 8441 patients, 301 were excluded because they had hypernatraemia at ICU admission. Of the remaining 8140 patients, 901 (11.1%) experienced mild hypernatraemia, and 344 (4.2%) experienced moderate to severe hypernatraemia. Factors independently associated with IAH were male gender, severity at admission as assessed by the Simplified Acute Physiology Score version II (SAPS II), and organ failure or life-supporting treatment at ICU admission. Unadjusted hospital mortality was 15.2% in patients without hypernatraemia compared to 29.5% in patients with mild IAH and 46.2% in those with moderate to severe IAH (P < 0.0001). When any degree of IAH was handled as a time-dependent variable in a subdistribution hazard model, the subdistribution hazard ratio (SHR) for ICU mortality was 4.26 [95% confidence interval (CI), 3.74-4.84]. After stratification by centre and adjustment for confounders, both mild IAH and moderate to severe IAH were independently associated with mortality [SHR 2.03 (95% CI 1.73-2.39) and 2.67 (95% CI 2.19-3.26), respectively]. CONCLUSION: IAH is frequent and associated with mortality after adjustment on severity at ICU admission
    corecore