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1.
Muscle Nerve ; 44(1): 128-30, 2011 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-21660983

RESUMEN

There exists no "gold standard" in the treatment of ulnar neuropathy at the elbow (UNE). We treated 7 patients with mild UNE using a local steroid injection with ultrasonographic monitoring. At clinical follow-up after 6 weeks, 4 patients had improved, 2 were stable, and 1 reported an increase in symptoms. Ultrasound-guided steroid injection in mild UNE is safe and could be effective. Further investigation is needed to prove its efficacy.


Asunto(s)
Codo/diagnóstico por imagen , Esteroides/administración & dosificación , Neuropatías Cubitales/diagnóstico por imagen , Neuropatías Cubitales/tratamiento farmacológico , Adulto , Femenino , Estudios de Seguimiento , Humanos , Masculino , Persona de Mediana Edad , Ultrasonografía
2.
J Clin Epidemiol ; 59(2): 132-43, 2006 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-16426948

RESUMEN

OBJECTIVE: Various prognostic models have been developed to predict outcome after traumatic brain injury (TBI). We aimed to determine the validity of six models that used baseline clinical and computed tomographic characteristics to predict mortality or unfavorable outcome at 6 months or later after severe or moderate TBI. STUDY DESIGN AND SETTING: The validity was studied in two selected series of TBI patients enrolled in clinical trials (Tirilazad trials; n = 2,269; International Selfotel Trial; n = 409) and in two unselected series of patients consecutively admitted to participating centers (European Brain Injury Consortium [EBIC] survey; n = 796; Traumatic Coma Data Bank; n = 746). Validity was indicated by discriminative ability (AUC) and calibration (Hosmer-Lemeshow goodness-of-fit test). RESULTS: The models varied in number of predictors (four to seven) and in development technique (two prediction trees and four logistic regression models). Discriminative ability varied widely (AUC: .61-.89), but calibration was poor for most models. Better discrimination was observed for logistic regression models compared with trees, and for models including more predictors. Further, discrimination was better when tested on unselected series that contained more heterogeneous populations. CONCLUSION: Our findings emphasize the need for external validation of prognostic models. The satisfactory discrimination indicates that logistic regression models, developed on large samples, can be used for classifying TBI patients according to prognostic risk.


Asunto(s)
Lesiones Encefálicas/terapia , Área Bajo la Curva , Lesiones Encefálicas/mortalidad , Ensayos Clínicos como Asunto , Humanos , Modelos Logísticos , Pronóstico , Resultado del Tratamiento
3.
J Neurosurg ; 99(4): 666-73, 2003 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-14567601

RESUMEN

OBJECT: Increasing age is associated with poorer outcome in patients with closed traumatic brain injury (TBI). It is uncertain whether critical age thresholds exist, however, and the strength of the association has yet to be investigated across large series. The authors studied the shape and strength of the relationship between age and outcome, that is, the 6-month mortality rate and unfavorable outcome based on the Glasgow Outcome Scale. METHODS: The shape of the association was examined in four prospective series with individual patient data (2664 cases). All patients had a closed TBI and were of adult age (96% < 65 years of age). The strength of the association was investigated in a metaanalysis of the aforementioned individual patient data (2664 cases) and aggregate data (2948 cases) from TBI studies published between 1980 and 2001 (total 5612 cases). Analyses were performed with univariable and multivariable logistic regression. Proportions of mortality and unfavorable outcome increased with age: 21 and 39%, respectively, for patients younger than 35 years and 52 and 74%, respectively, for patients older than 55 years. The association between age and both mortality and unfavorable outcome was continuous and could be adequately described by a linear term and expressed even better statistically by a linear and a quadratic term. The use of age thresholds (best fitting threshold 39 years) in the analysis resulted in a considerable loss of information. The strength of the association, expressed as an odds ratio per 10 years of age, was 1.47 (95% confidence interval [CI] 1.34-1.63) for death and 1.49 (95% CI 1.43-1.56) for unfavorable outcome in univariable analyses, and 1.39 (95% CI 1.3-1.5) and 1.46 (95% CI 1.36-1.56), respectively, in multivariable analyses. Thus, the odds for a poor outcome increased by 40 to 50% per 10 years of age. CONCLUSIONS: An older age is continuously associated with a worsening outcome after TBI; hence, it is disadvantageous to define the effect of age on outcome in a discrete manner when we aim to estimate prognosis or adjust for confounding variables.


Asunto(s)
Lesiones Encefálicas/mortalidad , Adulto , Factores de Edad , Anciano , Lesiones Encefálicas/patología , Femenino , Escala de Coma de Glasgow , Humanos , Modelos Logísticos , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Análisis Multivariante , Estudios Prospectivos , Tasa de Supervivencia
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