ArticleBMC infectious diseases2018
Risk factors for long-term mortality in patients admitted with severe infection.
Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Understanding current challenges of antibiotic resistance to find new solutions for 2050: scientific, medical and political issues.Archives of microbiology · 2025Review
- Dynamic shifts in pathogen ecology of catheter-related bloodstream infections: temporal trends and ward-specific risk landscapes.Frontiers in medicine · 2025Article
- Two-Year Mortality and Prognostic Factors in Sepsis: A Prospective Cohort Study of 714 Danish Emergency Department Patients.Clinical epidemiology · 2025Article
- Risk Factors and Mortality Outcomes in Elderly Patients With Bloodstream Infections: A Retrospective Analysis.Cureus · 2024Article
- Impact of the implementation of a Sepsis Code Program in medical patient management: a cohort study in an Internal Medicine ward.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022Article
- Comparison of different sepsis scoring systems and pathways: qSOFA, SIRS, Shapiro criteria and CEC SEPSIS KILLS pathway in bacteraemic and non-bacteraemic patients presenting to the emergency department.BMC infectious diseases · 2022Article
- Culture positivity may correlate with long-term mortality in critically ill patients.BMC infectious diseases · 2021Article
- Pathogenic Characteristics and Risk Factors for ESKAPE Pathogens Infection in Burn Patients.Infection and drug resistance · 2021Article
- Long-Term Survival Following Sepsis.Deutsches Arzteblatt international · 2020Article
- Primary immunodeficiency disease: a cost-utility analysis comparing intravenous vs subcutaneous immunoglobulin replacement therapy in Australia.Blood transfusion = Trasfusione del sangue · 2020Article
- Risk Factors for Long-term Mortality and Patterns of End-of-Life Care Among Medicare Sepsis Survivors Discharged to Home Health Care.JAMA network open · 2020Article
- Long-term mortality and outcome in hospital survivors of septic shock, sepsis, and severe infections: The importance of aftercare.PloS one · 2020Article
- The Prevalence, Risk Factors, and Outcomes of Sepsis in Critically Ill Patients in China: A Multicenter Prospective Cohort Study.Frontiers in medicine · 2020Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere infection is a main cause of mortality. We aim to describe risk factors for long-term mortality among inpatients with severe infection.
methodsProspective cohort study in a 600-bed university hospital in Portugal including all patients with severe infection admitted into intensive care, medical, surgical, hematology and nephrology wards over one-year period. The outcome of interest was 5-year mortality following infection. Variables of patient background and infectious episode were studied in association with the main outcome through multiple logistic regression. There were 1013 patients included in the study. Hospital and 5-year mortality rates were 14 and 37%, respectively.
resultsTwo different models were developed (with and without acute-illness severity scores) and factors independently associated with 5-year mortality were [adjusted odds ratio (95% confidence interval)]: age = 1.03 per year (1.02-1.04), cancer = 4.36 (1.65-11.53), no comorbidities = 0.4 (0.26-0.62), Karnovsky Index < 70 = 2.25 (1.48-3.40), SAPS (Simplified Acute Physiology Score) II = 1.05 per point (1.03-1.07), positive blood cultures = 1.57 (1.01-2.44) and infection by an ESKAPE pathogen (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeroginosa and Enterobacter species) = 1.61 (1.00- 2.60); and in the second model [without SAPS II and SOFA (Sequential Organ Failure Assessment) scores]: age = 1.04 per year (1.03-1.05), cancer = 5.93 (2.26-15.51), chronic haematologic disease = 2.37 (1.14-4.93), no comorbidities = 0.45 (0.29-0.69), Karnovsky Index< 70 = 2.32 (1.54- 3.50), septic shock [reference is infection without SIRS (Systemic Inflammatory Response Syndrome)] = 3.77 (1.80-7.89) and infection by an ESKAPE pathogen = 1.61 (1.00-2.60). Both models presented a good discrimination power with an AU-ROC curve (95% CI) of 0.81 (0.77-0.84) for model 1 and 0.80 (0.76-0.83) for model 2. If only patients that survived hospital admission are included in the model, variables retained are: age = 1.03 per year (1.02-1.05), cancer = 4.69 (1.71-12.83), chronic respiratory disease = 2.27 (1.09-4.69), diabetes mellitus = 1.65 (1.06-2.56), Karnovsky Index < 70 = 2.50 (1.63-3.83) and positive blood cultures = 1.66 (1.04-2.64) with an AU-ROC curve of 0.77 (0.73-0.81).
conclusionsAge, previous comorbidities, and functional status and infection by an ESKAPE pathogen were consistently associated with long-term prognosis. This information may help in the discussion of individual prognosis and clinical decision-making.
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