 |
|
COMMENTS AND OPINIONS
Improving the Assessment of the Relationship Between Body Mass Index and Hospital Discharge After Ischemic Stroke
Cody Hamilton, PhD;
Giovanni Filardo, PhD
|
|
| Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings. |
|
|
|
Razinia et al1 report that "[e]levated BMI [body mass index] is associated with a lower likelihood of being discharged home and a trend toward extended hospital stay." However, this study suffers from several methodological drawbacks. Patients are divided into 4 prespecified groups based on the US Preventive Services Task Force, and statistical analyses are based on this categorization. The categorization of continuous exposures like BMI (calculated as weight in kilograms divided by height in meters squared) can lead to a biased estimation of the exposure-outcome relationship.2 Filardo et al3 have shown that using categorization when describing the relationship between BMI and postsurgical outcomes can misrepresent this relationship completely. Moreover, low patient counts for specific BMI categories can affect the statistical power of the analysis. For example, the adjusted comparison of discharge outcome between class I obesity and normal (which compares 61 patients with 208 . . . [Full Text of this Article]AUTHOR INFORMATION
RELATED LETTER
Improving the Assessment of the Relationship Between Body Mass Index and Hospital Discharge After Ischemic Stroke—Reply
Tannaz Razinia, Jeffrey L. Saver, and Bruce Ovbiagele
Arch Neurol. 2007;64(10):1546.
EXTRACT
| FULL TEXT
RELATED ARTICLE
Body Mass Index and Hospital Discharge Outcomes After Ischemic Stroke
Tannaz Razinia, Jeffrey L. Saver, David S. Liebeskind, Latisha K. Ali, Brian Buck, and Bruce Ovbiagele
Arch Neurol. 2007;64(3):388-391.
ABSTRACT
| FULL TEXT
|
