Model for predicting short-term mortality of severe sepsis

International audienceABSTRACT: INTRODUCTION: To establish a prognostic model for predicting 14-day mortality in ICU patients with severe sepsis overall and according to place of infection acquisition and to sepsis episode number. METHODS: In this prospective multicentre observational study on a multicentre database (OUTCOMEREA) including data from 12 ICUs, 2268 patients with 2737 episodes of severe sepsis were randomly divided into a training cohort (n=1458) and a validation cohort (n=810). Up to four consecutive severe sepsis episodes per patient occurring within the first 28 ICU days were included. We developed a prognostic model for predicting death within 14 days after each episode, based on patient data available at sepsis onset. RESULTS: Independent predictors of death were logistic organ dysfunction (OR, 1.22 per point, p<10-4), septic shock (OR, 1.40; p=0.01), rank of severe sepsis episode (1 reference, 2: OR, 1.26; p=0.10 [greater than or equal to]3: OR, 2.64 ;10-3), multiple sources of infection (OR; 1.45, p=0.03), simplified acute physiology score II (OR, 1.02 per point; p<10-4), McCabe score ([greater than or equal to]2)(OR, 1.96; p<10-4), and number of chronic co-morbidities (1: OR, 1.75; p=10-3, [greater than or equal to]2: OR, 2.24, p= 10-3). Validity of the model was good in whole cohorts (AUC-ROC, 0.76; 95%CI [0.74; 0.79] and HL Chi-square: 15.3 (p=0.06) for all episodes pooled). CONCLUSIONS: In ICU patients, a prognostic model based on a few easily obtained variables is effective in predicting death within 14 days after the first to fourth episode of severe sepsis complicating community-, hospital-, or ICU-acquired infection

Reliability of diagnostic coding in intensive care patients

International audienceABSTRACT: INTRODUCTION: Administrative coding of medical diagnoses in intensive care unit (ICU) patients is mandatory in order to create databases for use in epidemiological and economic studies. We assessed the reliability of coding between different ICU physicians. METHOD: One hundred medical records selected randomly from 29,393 cases collected between 1998 and 2004 in the French multicenter Outcomerea ICU database were studied. Each record was sent to two senior physicians from independent ICUs who recoded the diagnoses using the International Statistical Classification of Diseases and Related Health Problems: Tenth Revision (ICD-10) after being trained according to guidelines developed by two French national intensive care medicine societies: the French Society of Intensive Care Medicine (SRLF) and the French Society of Anesthesiology and Intensive Care Medicine (SFAR). These codes were then compared with the original codes, which had been selected by the physician treating the patient. A specific comparison was done for the diagnoses of septicemia and shock (codes derived from A41 and R57, respectively). RESULTS: The ICU physicians coded an average of 4.6 +/- 3.0 (range 1 to 32) diagnoses per patient, with little agreement between the three coders. The primary diagnosis was matched by both external coders in 34% (95% confidence interval (CI) 25% to 43%) of cases, by only one in 35% (95% CI 26% to 44%) of cases, and by neither in 31% (95% CI 22% to 40%) of cases. Only 18% (95% CI 16% to 20%) of all codes were selected by all three coders. Similar results were obtained for the diagnoses of septicemia and/or shock. CONCLUSION: In a multicenter database designed primarily for epidemiological and cohort studies in ICU patients, the coding of medical diagnoses varied between different observers. This could limit the interpretation and validity of research and epidemiological programs using diagnoses as inclusion criteria

Hyperoxemia and excess oxygen use in early acute respiratory distress syndrome : Insights from the LUNG SAFE study

Publisher Copyright: © 2020 The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Background: Concerns exist regarding the prevalence and impact of unnecessary oxygen use in patients with acute respiratory distress syndrome (ARDS). We examined this issue in patients with ARDS enrolled in the Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE (LUNG SAFE) study. Methods: In this secondary analysis of the LUNG SAFE study, we wished to determine the prevalence and the outcomes associated with hyperoxemia on day 1, sustained hyperoxemia, and excessive oxygen use in patients with early ARDS. Patients who fulfilled criteria of ARDS on day 1 and day 2 of acute hypoxemic respiratory failure were categorized based on the presence of hyperoxemia (PaO2 > 100 mmHg) on day 1, sustained (i.e., present on day 1 and day 2) hyperoxemia, or excessive oxygen use (FIO2 ≥ 0.60 during hyperoxemia). Results: Of 2005 patients that met the inclusion criteria, 131 (6.5%) were hypoxemic (PaO2 < 55 mmHg), 607 (30%) had hyperoxemia on day 1, and 250 (12%) had sustained hyperoxemia. Excess FIO2 use occurred in 400 (66%) out of 607 patients with hyperoxemia. Excess FIO2 use decreased from day 1 to day 2 of ARDS, with most hyperoxemic patients on day 2 receiving relatively low FIO2. Multivariate analyses found no independent relationship between day 1 hyperoxemia, sustained hyperoxemia, or excess FIO2 use and adverse clinical outcomes. Mortality was 42% in patients with excess FIO2 use, compared to 39% in a propensity-matched sample of normoxemic (PaO2 55-100 mmHg) patients (P = 0.47). Conclusions: Hyperoxemia and excess oxygen use are both prevalent in early ARDS but are most often non-sustained. No relationship was found between hyperoxemia or excessive oxygen use and patient outcome in this cohort. Trial registration: LUNG-SAFE is registered with ClinicalTrials.gov, NCT02010073publishersversionPeer reviewe

FACTEURS PRONOSTIQUES PRECOCES DES ARRETS CARDIAQUES PRE-HOSPITALIERS (ANALYSE SUR 130 DOSSIERS CONSECUTIFS)

PARIS-BIUM (751062103) / SudocCentre Technique Livre Ens. Sup. (774682301) / SudocSudocFranceF

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

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

Determinants of temperature abnormalities and influence on outcome of critical illness.

International audienceOBJECTIVE: To determine the occurrence and determinants of temperature abnormalities among patients presenting (39.5 °C). Normothermia was present in 6,133 (55%) and mixed fever/hypothermia abnormalities occurred in 347 (3%) patients overall. Medical patients had the highest occurrence of any fever, whereas hypothermia was more common in surgical patients. The overall intensive care unit case-fatality was 1,944 of 10,962 (18%) and 828 of 6,133 (14%) for normothermia, 235 of 1,046 (22%) for mild hypothermia, 205 of 541 (38%) for moderate hypothermia, 43 of 72 (60%) for severe hypothermia, 412 of 2,264 (18%) for mild fever, 117 of 559 (21%) for high fever, and 104 of 347 (30%) for those with mixed temperature abnormalities. After controlling for confounding variables in logistic regression analyses, fever at presentation was not associated with any significantly increased risk for death. However, hypothermia was a significant independent predictor for death in medical patients. CONCLUSIONS: Temperature abnormalities are common among patients presenting to the intensive care unit. Hypothermia is a major, potentially modifiable factor associated with increased risk for death