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1.
Clin Respir J ; 10(6): 756-764, 2016 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-25764275

RESUMEN

BACKGROUND AND AIMS: In Norway, data on the aetiology of community-acquired pneumonia (CAP) in hospitalized patients are limited. The aims of this study were to investigate the bacterial aetiology of CAP in hospitalized patients in Norway, risk factors for CAP and possible differences in risk factors between patients with Legionnaire's disease and pneumonia because of other causes. METHODS: Adult patients with radiologically confirmed CAP admitted to hospital were eligible for the study. Routine aerobic and Legionella culture of sputum, blood culture, urinary antigen test for Legionella pneumophila and Streptococcus pneumoniae, polymerase chain reaction detection of Chlamydophila pneumoniae, Mycoplasma pneumoniae and Bordetella pertussis from throat specimens, and serology for L. pneumophila serogroup 1-6 were performed. A questionnaire, which included demographic and clinical data, risk factors and treatment, was completed. RESULTS: We included 374 patients through a 20-month study period in 2007-2008. The aetiological agent was detected in 37% of cases. S. pneumoniae (20%) was the most prevalent agent, followed by Haemophilus influenzae (6%) and Legionella spp. (6%). Eight Legionella cases were diagnosed by urinary antigen test, of which four also had positive serology. In addition, 13 Legionella cases were diagnosed by serology. The degree of comorbidity was high. An increased risk of hospital-diagnosed Legionella pneumonia was found among patients with a diagnosis of chronic congestive heart failure. CONCLUSION: Our results indicate that S. pneumoniae is the most common bacterial cause of pneumonia in hospitalized patients, and the prevalence of Legionella pneumonia is probably higher in Norway than recognized previously.


Asunto(s)
Infecciones Comunitarias Adquiridas/epidemiología , Infecciones por Bacterias Gramnegativas/epidemiología , Infecciones por Bacterias Grampositivas/epidemiología , Adulto , Anciano , Infecciones Comunitarias Adquiridas/microbiología , Femenino , Bacterias Gramnegativas/aislamiento & purificación , Infecciones por Bacterias Gramnegativas/microbiología , Bacterias Grampositivas/aislamiento & purificación , Infecciones por Bacterias Grampositivas/microbiología , Hospitalización , Humanos , Masculino , Persona de Mediana Edad , Noruega/epidemiología , Prevalencia , Estudios Prospectivos , Factores de Riesgo , Adulto Joven
2.
BMJ Open ; 5(3): e006741, 2015 Mar 25.
Artículo en Inglés | MEDLINE | ID: mdl-25808167

RESUMEN

OBJECTIVES: To evaluate survival curves (Kaplan-Meier) as a means of identifying areas in the clinical pathway amenable to quality improvement. DESIGN: Observational before-after study. SETTING: In Norway, annual public reporting of nationwide 30-day in-and-out-of-hospital mortality (30D) for three medical conditions started in 2011: first time acute myocardial infarction (AMI), stroke and hip fracture; reported for 2009. 12 of 61 hospitals had statistically significant lower/higher mortality compared with the hospital mean. PARTICIPANTS: Three hospitals with significantly higher mortality requested detailed analyses for quality improvement purposes: Telemark Hospital Trust Skien (AMI and stroke), Østfold Hospital Trust Fredrikstad (stroke), Innlandet Hospital Trust Gjøvik (hip fracture). OUTCOME MEASURES: Survival curves, crude and risk-adjusted 30D before (2008-2009) and after (2012-2013). INTERVENTIONS: Unadjusted survival curves for the outlier hospitals were compared to curves based on pooled data from the other hospitals for the 30-day period 2008-2009. For patients admitted with AMI (Skien), stroke (Fredrikstad) and hip fracture (Gjøvik), the curves suggested increased mortality from the initial part of the clinical pathway. For stroke (Skien), increased mortality appeared after about 8 days. The curve profiles were thought to reflect suboptimal care in various phases in the clinical pathway. This informed improvement efforts. RESULTS: For 2008-2009, hospital-specific curves differed from other hospitals: borderline significant for AMI (p=0.064), highly significant (p≤0.005) for the remainder. After intervention, no difference was found (p>0.188). Before-after comparison of the curves within each hospital revealed a significant change for Fredrikstad (p=0.006). For the three hospitals, crude 30D declined and they were non-outliers for risk-adjusted 30D for 2013. CONCLUSIONS: Survival curves as a supplement to 30D may be useful for identifying suboptimal care in the clinical pathway, and thus informing design of quality improvement projects.


Asunto(s)
Fracturas de Cadera/mortalidad , Mortalidad Hospitalaria , Hospitales/normas , Infarto del Miocardio/mortalidad , Mejoramiento de la Calidad , Accidente Cerebrovascular/mortalidad , Sobrevivientes/estadística & datos numéricos , Enfermedad Aguda , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Infarto de la Pared Anterior del Miocardio/mortalidad , Infarto de la Pared Anterior del Miocardio/terapia , Estudios Controlados Antes y Después , Femenino , Fracturas de Cadera/terapia , Hospitalización , Humanos , Masculino , Persona de Mediana Edad , Infarto del Miocardio/terapia , Noruega/epidemiología , Evaluación de Resultado en la Atención de Salud , Indicadores de Calidad de la Atención de Salud , Accidente Cerebrovascular/terapia , Adulto Joven
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