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Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_4 | Pages 20 - 20
1 Apr 2019
Casale M Waddell B Ojard C Chimento G Adams T Mohammed A
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Background

Non-invasive hemoglobin measurement was introduced to potentially eliminate blood draws postoperatively. We compared the accuracy and effectiveness of a non-invasive hemoglobin measurement system with a traditional blood draw in patients undergoing total joint arthroplasty.

Methods

After IRB approval, 100 consecutive patients undergoing primary total hip or knee arthroplasty had their hemoglobin level tested by both traditional blood draw and a non-invasive hemoglobin monitoring system. Results were analyzed for the entire group, further stratifying patients based on gender, race, surgery (THA versus TKA), and post-operative hemoglobin level. Finally, we compared financial implications and patient satisfaction with the device. Paired t-test with 0.05 conferring significance was used. Stratified analyses of the absolute difference between the two measures were assessed using Mann- Whitney test. To assess the level of agreement between the two measures, the concordance correlation coefficient (CCC) was calculated.


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_5 | Pages 7 - 7
1 Apr 2018
Habashy A Casale M Waddell B Chimento G Sherman W
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Introduction

Body Mass Index (BMI) is an essential tool for orthopaedic surgeons in regards to preoperative risk stratification as well as assessment of overall health and nutritional status. Patient's self-awareness of their height, weight and BMI is crucial in maintaining a healthy lifestyle. The purpose of our study was to determine the accuracy of orthopaedic patient's reported height and weight. We hypothesized that a patient's age, sex and/or BMI may affect the accuracy of these reported values.

Methods

After IRB approval, we performed a prospective, observational study in the setting of our orthopaedic clinic. Patients were asked to report their predicted height and weight and then were weighed and measured using a single standardized scale. All values, including age and sex, were recorded. Differences were then calculated. Patients were categorized based on their age (younger than 65 vs older than 65), sex, and actual BMI (less than 30 vs greater than 30). Student t-test was used to calculate significance (p <0.05 conferred significance).