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1.
J Gen Intern Med ; 32(1): 127-130, 2017 01.
Artigo em Inglês | MEDLINE | ID: mdl-27785666

RESUMO

A 75-year-old man with chronic (30-year) unexplained paroxysmal hypoxemia presented with postural hypoxemia and desaturation consistent with a clinical manifestation of platypnea-orthodeoxia syndrome. His history included a lack of significant past pulmonary disease, yet with intermittent need for oxygen supplementation. On admission he was found to have an interatrial shunt through a patent foramen ovale. Device closure by percutaneous catheterization led to sustained resolution of symptoms. Platypnea-orthodeoxia syndrome is a rare but important consideration in the differential diagnosis of hypoxemia, as it represents a potentially curable cause of hypoxemia, with missed diagnosis leading to possible patient morbidity if untreated. Even more importantly, an astute and careful history and physical examination are integral to the diagnosis of this rare but likely under-recognized syndrome.


Assuntos
Dispneia Paroxística/fisiopatologia , Forame Oval/cirurgia , Hipóxia/fisiopatologia , Idoso , Diagnóstico Diferencial , Dispneia Paroxística/complicações , Ecocardiografia Transesofagiana , Forame Oval/diagnóstico por imagem , Forame Oval/fisiopatologia , Humanos , Hipóxia/complicações , Masculino , Postura , Síndrome
2.
J Am Heart Assoc ; 7(2)2018 01 12.
Artigo em Inglês | MEDLINE | ID: mdl-29330259

RESUMO

BACKGROUND: Administrative data sets utilize billing codes for research and quality assessment. Previous data suggest that such codes can accurately identify adults with congenital heart disease (CHD) in the cardiology clinic, but their use has yet to be validated in a larger population. METHODS AND RESULTS: All administrative codes from an entire health system were queried for a single year. Adults with a CHD diagnosis code (International Classification of Diseases, Ninth Revision, (ICD-9) codes 745-747) defined the cohort. A previously validated hierarchical algorithm was used to identify diagnoses and classify patients. All charts were reviewed to determine a gold standard diagnosis, and comparisons were made to determine accuracy. Of 2399 individuals identified, 206 had no CHD by the algorithm or were deemed to have an uncertain diagnosis after provider review. Of the remaining 2193, only 1069 had a confirmed CHD diagnosis, yielding overall accuracy of 48.7% (95% confidence interval, 47-51%). When limited to those with moderate or complex disease (n=484), accuracy was 77% (95% confidence interval, 74-81%). Among those with CHD, misclassification occurred in 23%. The discriminative ability of the hierarchical algorithm (C statistic: 0.79; 95% confidence interval, 0.77-0.80) improved further with the addition of age, encounter type, and provider (C statistic: 0.89; 95% confidence interval, 0.88-0.90). CONCLUSIONS: ICD codes from an entire healthcare system were frequently erroneous in detecting and classifying CHD patients. Accuracy was higher for those with moderate or complex disease or when coupled with other data. These findings should be taken into account in future studies utilizing administrative data sets in CHD.


Assuntos
Demandas Administrativas em Assistência à Saúde , Algoritmos , Mineração de Dados/métodos , Cardiopatias Congênitas/diagnóstico , Classificação Internacional de Doenças , Adulto , Idoso , Confiabilidade dos Dados , Bases de Dados Factuais , Registros Eletrônicos de Saúde , Feminino , Cardiopatias Congênitas/classificação , Humanos , Masculino , Pessoa de Meia-Idade , Oregon , Valor Preditivo dos Testes , Reprodutibilidade dos Testes , Centros de Atenção Terciária
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