Predictive performance of comorbidity for 30-day and 1-year mortality in patients with bloodstream infection visiting the emergency department: a retrospective cohort study
ObjectivesTo investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).DesignA retrospective cohort st...
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| Vydané v: | BMJ open Ročník 12; číslo 4; s. e057196 |
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| Hlavní autori: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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England
British Medical Journal Publishing Group
06.04.2022
BMJ Publishing Group LTD BMJ Publishing Group |
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| ISSN: | 2044-6055, 2044-6055 |
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| Abstract | ObjectivesTo investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).DesignA retrospective cohort study.SettingA tertiary hospital in the Netherlands.ParticipantsAdult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.Main outcomesShort-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).ResultsWe included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).ConclusionsWe found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS). |
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| AbstractList | To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).OBJECTIVESTo investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).A retrospective cohort study.DESIGNA retrospective cohort study.A tertiary hospital in the Netherlands.SETTINGA tertiary hospital in the Netherlands.Adult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.PARTICIPANTSAdult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.Short-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).MAIN OUTCOMESShort-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).We included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).RESULTSWe included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).We found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS).CONCLUSIONSWe found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS). ObjectivesTo investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).DesignA retrospective cohort study.SettingA tertiary hospital in the Netherlands.ParticipantsAdult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.Main outcomesShort-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).ResultsWe included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).ConclusionsWe found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS). To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS). A retrospective cohort study. A tertiary hospital in the Netherlands. Adult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS. Short-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC). We included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)). We found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS). Objectives To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).Design A retrospective cohort study.Setting A tertiary hospital in the Netherlands.Participants Adult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.Main outcomes Short-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).Results We included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).Conclusions We found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS). |
| Author | Schuit, Stephanie Alsma, Jelmer van Dijk, Willian Schuttevaer, Romy Verbon, Annelies Brink, Anniek de Steenwinkel, Jurriaan Boogers, William Lingsma, Hester |
| AuthorAffiliation | 2 Department of Medical Microbiology and Infectious Diseases , Erasmus MC , Rotterdam , Netherlands 1 Department of Internal Medicine , Erasmus MC , Rotterdam , Netherlands 3 Department of Public Health , Erasmus MC , Rotterdam , Netherlands |
| AuthorAffiliation_xml | – name: 3 Department of Public Health , Erasmus MC , Rotterdam , Netherlands – name: 1 Department of Internal Medicine , Erasmus MC , Rotterdam , Netherlands – name: 2 Department of Medical Microbiology and Infectious Diseases , Erasmus MC , Rotterdam , Netherlands |
| Author_xml | – sequence: 1 givenname: Romy orcidid: 0000-0002-8589-4650 surname: Schuttevaer fullname: Schuttevaer, Romy email: r.schuttevaer@erasmusmc.nl organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands – sequence: 2 givenname: William surname: Boogers fullname: Boogers, William organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands – sequence: 3 givenname: Anniek surname: Brink fullname: Brink, Anniek organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands – sequence: 4 givenname: Willian surname: van Dijk fullname: van Dijk, Willian organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands – sequence: 5 givenname: Jurriaan surname: de Steenwinkel fullname: de Steenwinkel, Jurriaan organization: Department of Medical Microbiology and Infectious Diseases, Erasmus MC, Rotterdam, Netherlands – sequence: 6 givenname: Stephanie surname: Schuit fullname: Schuit, Stephanie organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands – sequence: 7 givenname: Annelies surname: Verbon fullname: Verbon, Annelies organization: Department of Medical Microbiology and Infectious Diseases, Erasmus MC, Rotterdam, Netherlands – sequence: 8 givenname: Hester surname: Lingsma fullname: Lingsma, Hester organization: Department of Public Health, Erasmus MC, Rotterdam, Netherlands – sequence: 9 givenname: Jelmer orcidid: 0000-0002-2808-1514 surname: Alsma fullname: Alsma, Jelmer organization: Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35387824$$D View this record in MEDLINE/PubMed |
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| Snippet | ObjectivesTo investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection... To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the... Objectives To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection... |
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| SubjectTerms | Acquired immune deficiency syndrome Adult Age AIDS Area Under Curve BACTERIOLOGY Clinical medicine Cohort analysis Comorbidity Connective tissue diseases Dementia Diabetes Emergency Service, Hospital Epidemiology Heart attacks Heart failure HIV Hospital Mortality Human immunodeficiency virus Humans Hypertension Infections Infectious Diseases INTERNAL MEDICINE Ischemia Kidney diseases Leukemia Liver diseases Lymphoma Metastasis MICROBIOLOGY Mortality Patients Retrospective Studies Sepsis Transient ischemic attack Ulcers Vital signs |
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| Title | Predictive performance of comorbidity for 30-day and 1-year mortality in patients with bloodstream infection visiting the emergency department: a retrospective cohort study |
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