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1.
Am J Epidemiol ; 175(11): 1110-9, 2012 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-22582209

RESUMO

Because of widespread distribution of the influenza A (H1N1) 2009 monovalent vaccine (pH1N1 vaccine) and the prior association between Guillain-Barré syndrome (GBS) and the 1976 H1N1 influenza vaccine, enhanced surveillance was implemented to estimate the magnitude of any increased GBS risk following administration of pH1N1 vaccine. The authors conducted active, population-based surveillance for incident cases of GBS among 45 million persons residing at 10 Emerging Infections Program sites during October 2009-May 2010; GBS was defined according to published criteria. The authors determined medical and vaccine history for GBS cases through medical record review and patient interviews. The authors used vaccine coverage data to estimate person-time exposed and unexposed to pH1N1 vaccine and calculated age- and sex-adjusted rate ratios comparing GBS incidence in these groups, as well as age- and sex-adjusted numbers of excess GBS cases. The authors received 411 reports of confirmed or probable GBS. The rate of GBS immediately following pH1N1 vaccination was 57% higher than in person-time unexposed to vaccine (adjusted rate ratio = 1.57, 95% confidence interval: 1.02, 2.21), corresponding to 0.74 excess GBS cases per million pH1N1 vaccine doses (95% confidence interval: 0.04, 1.56). This excess risk was much smaller than that observed during the 1976 vaccine campaign and was comparable to some previous seasonal influenza vaccine risk assessments.


Assuntos
Síndrome de Guillain-Barré/etiologia , Vírus da Influenza A Subtipo H1N1/imunologia , Vacinas contra Influenza/efeitos adversos , Vigilância da População , Vigilância de Produtos Comercializados , Adolescente , Adulto , Idoso , Criança , Pré-Escolar , Feminino , Síndrome de Guillain-Barré/epidemiologia , Promoção da Saúde , Humanos , Incidência , Lactente , Influenza Humana/prevenção & controle , Masculino , Pessoa de Meia-Idade , Medição de Risco , Fatores de Tempo , Estados Unidos/epidemiologia , Adulto Jovem
2.
Eur J Cardiothorac Surg ; 49(4): e65-71, 2016 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-26823164

RESUMO

OBJECTIVES: Previous studies have identified predictors of prolonged length of stay (LOS) following pulmonary lobectomy. LOS is typically described to have a direct relationship to postoperative complications. We sought to determine the LOS and factors associated with variability after uncomplicated pulmonary lobectomy. METHODS: Analysing the State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality database, we reviewed lobectomies performed (2009-11) on patients in California, Florida and New York. LOS and comorbidities were identified. Multivariable regression analysis (MVA) was used to determine factors associated with LOS greater than the median. Patients with postoperative complications or death were excluded. RESULTS: Among 22 647 lobectomies performed, we identified 13 099 patients (58%) with uncomplicated postoperative courses (mean age = 66 years; 56% female; 76% white, 57% Medicare; median DEYO comorbidity score = 3, 55% thoracotomy, 45% thoracoscopy/robotic). There was a wide distribution in LOS [median LOS = 5 days; interquartile range (IQR) 4-7]. By MVA, predictors of prolonged LOS included, age ≥ 75 years [odds ratio (OR) 1.7, 95% confidence interval (CI) 1.4-2.0], male gender (OR 1.2, 95% CI 1.1-1.2), chronic obstructive pulmonary disease (OR 1.6, 95% CI 1.5-1.7) and other comorbidities, Medicaid payer (OR 1.7, 95% CI 1.4-2.1) versus private insurance, thoracotomy (OR 3.0, 95% CI 2.8-3.3) versus video-assisted thoracoscopic surgery/robotic approach and low hospital volume (OR 2.4, 95% CI 2.1-2.6). CONCLUSIONS: Variability exists in LOS following even uncomplicated pulmonary lobectomy. Variability is driven by clinical factors such as age, gender, payer and comorbidities, but also by surgical approach and volume. All of these factors should be taken into account when designing clinical care pathways or when allocating payment resources. Attempts to define an optimal LOS depend heavily upon the patient population studied.


Assuntos
Tempo de Internação/estatística & dados numéricos , Neoplasias Pulmonares/cirurgia , Pneumonectomia/estatística & dados numéricos , Adolescente , Adulto , Idoso , Comorbidade , Feminino , Humanos , Pulmão/cirurgia , Neoplasias Pulmonares/epidemiologia , Masculino , Pessoa de Meia-Idade , Qualidade da Assistência à Saúde , Estudos Retrospectivos , Cirurgia Torácica Vídeoassistida/estatística & dados numéricos , Adulto Jovem
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