Accurate outcome predictions for intracerebral hemorrhage patients are more likely than inaccurate predictions to be influenced by co-morbidities not included in clinical scales (S39.006)
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Le résumé fourni par la source
OBJECTIVE: We hypothesized that accurate physician predictions of functional outcome for intracerebral hemorrhage (ICH) patients are more likely than inaccurate predictions to incorporate decision-making factors outside of the variables comprising the ICH and FUNC Scores. BACKGROUND: Clinical scales for ICH, such as the ICH and FUNC Scores, utilize a limited number of variables for outcome prediction. The variables that physicians incorporate into subjective predictions of ICH outcome and how they relate to predictive accuracy are unknown. DESIGN/METHODS: For each consecutive adult patient admitted with primary ICH at 5 centers, one physician on the treatment team was surveyed for a prediction of modified Rankin Scale (mRS) at 3 months. All predictions were prospectively collected within 24 hours of admission. Physicians were also asked to indicate up to 10 factors influencing their prediction. Accuracy was defined as an exact prediction of the 3-month mRS. The frequency of recurring factors listed by physicians were calculated for both the accurate and inaccurate predictions and compared using Fisher’s exact test. RESULTS: We collected 38 accurate and 86 inaccurate predictions for 124 ICH patients. There was no difference between groups with regards to the proportion of respondents listing age, ICH volume, or general clinical exam on admission as factors. However, 16 (42.1[percnt]) of the accurate surveys listed the patient’s general co-morbidities as a factor in prediction, compared to 20 (23.3[percnt]) of inaccurate surveys (p = 0.05). Listing of pre-morbid functional status as a factor also trended towards a higher percentage in the accurate survey group (n = 7, 18.4[percnt], versus n = 6, 7.0[percnt]; p = 0.11). CONCLUSIONS: Accurate predictions of ICH outcome are more likely than inaccurate predictions to factor in general patient co-morbidities, which are not included in ICH or FUNC Score calculation. Study Supported by: AHA Clinical Research Training Award and NINDS U-01-NS069763
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Accurate outcome predictions for intracerebral hemorrhage patients are more likely than inaccurate predictions to be influenced by co-morbidities not included in clinical scales (S39.006)
- Date Crossref
- 06/04/2015
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Yale University pays non établi dans la noticeUniversité ou école supérieure
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Wake Forest University pays non établi dans la noticeUniversité ou école supérieure
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Massachusetts General Hospital pays non établi dans la noticeÉtablissement de santé
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University of Miami pays non établi dans la noticeUniversité ou école supérieure
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Durham Technical Community College pays non établi dans la noticeUniversité ou école supérieure
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University of Cincinnati pays non établi dans la noticeUniversité ou école supérieure
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Yale School of Medicine New Haven CT United States pays non établi dans la noticeUniversité ou école supérieure
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Maryland Stroke Center Baltimore MD United States pays non établi dans la noticeInstitution
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Wake Forest School of Medicine Winston-Salem NC United States pays non établi dans la noticeUniversité ou école supérieure
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Durham NC United States pays non établi dans la noticeInstitution
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Raleigh NC United States pays non établi dans la noticeInstitution
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Dept of Neurology Baltimore MD United States pays non établi dans la noticeInstitution
Yale University, Wake Forest University et Massachusetts General Hospital, avec 9 autres affiliations.
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