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Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_1 | Pages 159 - 159
1 Jan 2013
Karunathilaka C Chan F Pinto N Rathnayake K Chandrasiri J
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In acute orthopedic trauma care rapid communication between the resident and consultant surgeon is important. Teleradiology and internet facilities have been explained for transferring the x-ray images. Advanced technology found to be impractical for many countries like Sri Lanka.

Objective

To determine the applicability of mobile phone multimedia message system (MMS) in acute trauma care to transfer the X-ray images and identify the practical issues related to it.

Methodology

A cross sectional survey was done for a period of 01 yr. Digital photos of X-ray images were taken by using a phone camera and communicated between the senior resident and the consultant. MMS images were analyzed in relevant to the, adequacy of MMS images, quality of the MMS image and relevant area of visualization to reach a radiological diagnosis to decide the acute management plan of the patient. Analyzed the issues related to the processing and transmission of MMS Images.


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_1 | Pages 231 - 231
1 Jan 2013
Karunathilaka C Chan F Pinto N Chandrasiri J
Full Access

Introduction

Rising incidence of fracture neck of femur (NOF) are associated with rising geriatric population. Majority of patients are suffering from comorbid factors. Impaired renal function is a common comorbid factor and most of the time it is attributed to an acute renal impairment following the fracture and surgery.

Objective of this study was to identify the effect of renal comorbid factors and their probable relative risk for a fracture and compare the results with Asian and European data. Specific objective was to identify a possibility of presence of pretraumatic subclinical chronic renal failure among fractured Sri Lankans.

Methodology

Data were collected from fractured patients (N=200) and non-fracture sample for a period of one year. Variables studied were, serum calcium, serum phosphate, blood hemoglobin level, blood urea and serum creatinine.

Data were analyzed using binary logistic and multiple regressions, principal component statistical technique using STATA software.