Dataset Information

Determinants of Fatal Outcome in Patients Admitted to Intensive Care Units With Influenza, European Union 2009-2017.

ABSTRACT: Background:Morbidity, severity, and mortality associated with annual influenza epidemics are of public health concern. We analyzed surveillance data on hospitalized laboratory-confirmed influenza cases admitted to intensive care units to identify common determinants for fatal outcome and inform and target public health prevention strategies, including risk communication. Methods:We performed a descriptive analysis and used Poisson regression models with robust variance to estimate the association of age, sex, virus (sub)type, and underlying medical condition with fatal outcome using European Union data from 2009 to 2017. Results:Of 13 368 cases included in the basic dataset, 2806 (21%) were fatal. Age ?40 years and infection with influenza A virus were associated with fatal outcome. Of 5886 cases with known underlying medical conditions and virus A subtype included in a more detailed analysis, 1349 (23%) were fatal. Influenza virus A(H1N1)pdm09 or A(H3N2) infection, age ?60 years, cancer, human immunodeficiency virus infection and/or other immune deficiency, and heart, kidney, and liver disease were associated with fatal outcome; the risk of death was lower for patients with chronic lung disease and for pregnant women. Conclusions:This study re-emphasises the importance of preventing influenza in the elderly and tailoring strategies to risk groups with underlying medical conditions.

SUBMITTER: Adlhoch C

PROVIDER: S-EPMC7105050 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Determinants of Fatal Outcome in Patients Admitted to Intensive Care Units With Influenza, European Union 2009-2017.

Adlhoch Cornelia C Gomes Dias Joana J Bonmarin Isabelle I Hubert Bruno B Larrauri Amparo A Oliva Domínguez Jesús A JA Delgado-Sanz Concepción C Brytting Mia M Carnahan Annasara A Popovici Odette O Lupulescu Emilia E O'Donnell Joan J Domegan Lisa L Van Gageldonk-Lafeber Arianne B AB Meijer Adam A Kynčl Jan J Slezák Pavel P Guiomar Raquel R Orta Gomes Carlos M CM Popow-Kraupp Theresia T Mikas Ján J Staroňová Edita E Melillo Jackie M JM Melillo Tanya T Ikonen Niina N Lyytikäinen Outi O Snacken René R Penttinen Pasi P

Open forum infectious diseases 20191029 11

<h4>Background</h4>Morbidity, severity, and mortality associated with annual influenza epidemics are of public health concern. We analyzed surveillance data on hospitalized laboratory-confirmed influenza cases admitted to intensive care units to identify common determinants for fatal outcome and inform and target public health prevention strategies, including risk communication.<h4>Methods</h4>We performed a descriptive analysis and used Poisson regression models with robust variance to estimate ...[more]

PMID: 32258201

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Project description:ImportanceEscherichia coli is a leading cause of serious infection among term and preterm newborn infants. Surveillance of antibiotic susceptibility patterns of E coli among infants admitted to neonatal intensive care units should inform empirical antibiotic administration.ObjectiveTo assess the epidemiologic characteristics and antibiotic susceptibility patterns of E coli in infants admitted to neonatal intensive care units in the US over time.Design, setting, and participantsThis retrospective cohort study used the Premier Health Database, a comprehensive administrative database of inpatient encounters from academic and community hospitals across the US. Participants included newborn infants admitted to centers contributing microbiology data from January 1, 2009, to December 31, 2017, with E coli isolated from blood, cerebrospinal fluid, or urine cultures. Data were collected and analyzed from December 1, 2018, to November 30, 2019.Main outcomes and measuresChanges in annual antibiotic susceptibility of E coli during the study period. The proportion of infants with nonsusceptible organisms (resistant or intermediate susceptibility) in antibiotic categories by year, birth weight, infection source, and timing of infection and patient and center characteristics associated with neonatal E coli infection and antibiotic susceptibility were assessed.ResultsA total of 721 infants (434 male [60.2%]; median age at E coli infection, 14 days [interquartile range, 1-33 days]) from 69 centers had at least 1 episode of E coli infection and available susceptibility results. No significant changes were observed over time in the overall annual proportions of antibiotic nonsusceptibility to ampicillin (mean [SD], 66.8% [1.5%]; range, 63.3% to 68.6%; estimated yearly change, -0.28% [95% CI, -1.75% to 1.18%]), nonsusceptibility to aminoglycosides (mean [SD], 16.8% [4.5%]; range, 10.7% to 23.2%; estimated yearly change, -0.85% [95% CI, -1.93% to 0.23%]), or extended-spectrum β-lactamase phenotype (mean [SD], 5.0% [3.7%]; range, 0% to 11.1%; estimated yearly change, 0.46% [95% CI, -0.18% to 1.11%]). No isolates with nonsusceptibility to carbapenems were identified. Among 218 infants with early-onset infection, 22 (10.1%) had isolates with nonsusceptibility to both ampicillin and gentamicin, the antibiotics most commonly administered to newborns as empirical therapy.Conclusions and relevanceIn this cohort study, nonsusceptibility to commonly administered antibiotics was found in substantial proportions of neonatal E coli isolates, with no significant change from 2009 to 2017. These findings may inform empirical antibiotic choices for newborn infants.

Project description:BACKGROUND:This retrospective, multicenter study aimed to reveal risk predictors for mortality in the intensive care unit (ICU) as well as survival after ICU discharge in patients with acute myeloid leukemia (AML) requiring treatment in the ICU. METHODS AND RESULTS:Multivariate analysis of data for 187 adults with AML treated in the ICU in one institution revealed the following as independent prognostic factors for death in the ICU: arterial oxygen partial pressure below 72 mmHg, active AML and systemic inflammatory response syndrome upon ICU admission, and need for hemodialysis and mechanical ventilation in the ICU. Based on these variables, we developed an ICU mortality score and validated the score in an independent cohort of 264 patients treated in the ICU in three additional tertiary hospitals. Compared with the Simplified Acute Physiology Score (SAPS) II, the Logistic Organ Dysfunction (LOD) score, and the Sequential Organ Failure Assessment (SOFA) score, our score yielded a better prediction of ICU mortality in the receiver operator characteristics (ROC) analysis (AUC = 0.913 vs. AUC = 0.710 [SAPS II], AUC = 0.708 [LOD], and 0.770 [SOFA] in the training cohort; AUC = 0.841 for the developed score vs. AUC = 0.730 [SAPSII], AUC = 0.773 [LOD], and 0.783 [SOFA] in the validation cohort). Factors predicting decreased survival after ICU discharge were as follows: relapse or refractory disease, previous allogeneic stem cell transplantation, time between hospital admission and ICU admission, time spent in ICU, impaired diuresis, Glasgow Coma Scale <8 and hematocrit of ?25% at ICU admission. Based on these factors, an ICU survival score was created and used for risk stratification into three risk groups. This stratification discriminated distinct survival rates after ICU discharge. CONCLUSIONS:Our data emphasize that although individual risks differ widely depending on the patient and disease status, a substantial portion of critically ill patients with AML benefit from intensive care.

Dataset Information

Determinants of Fatal Outcome in Patients Admitted to Intensive Care Units With Influenza, European Union 2009-2017.

Publications

Determinants of Fatal Outcome in Patients Admitted to Intensive Care Units With Influenza, European Union 2009-2017.

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