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Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 184 - 184
1 Sep 2012
Dhawan R Sharma V
Full Access

Aims

The aim of this study was to statistically analyse the incidence and distribution of humerus fractures in the adult age group between 3rd and 10th decades.

Methods

The total number of patients was retrieved from the audit department of the hospital using the codes to identify patients between 1997 and 2009. The data included total number of patients aged 20 to 100 years who were either reviewed in the fracture clinics or admitted to the hospital with forearm fractures along with patient gender, age at the time of incident and time of the year the incident occurred. Annual incidence of fractures along with the distribution of fracture incidence per year and per individual month was calculated. The patients’ age were classified in to 3rd to 10th decades. Linear regression analysis was carried out to identify the relationship between fracture incidence and the age or time of the injury. Correlation coefficients(R) and r2 were calculated for all the regression analyses. SPSS (version 16) and Microsoft Excel 2007 were used for statistics.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 469 - 469
1 Sep 2012
Dhawan R Sharma V
Full Access

Aims

The aim of this study was to statistically analyse the incidence and distribution of forearm fractures in the adult age group (3rd–10th Decades) between 1997 and 2009.

Methods

Records of patients with forearm fractures were retrieved from the hospital audit department using the predetermined codes to identify patients. The data included total number of patients between 20 and 100 years who were either reviewed in the fracture clinics or admitted to the hospital with forearm fractures along with patient gender, age at the time of incident and time of the year the incident occurred. Incidence of total fractures per year and per each month in the year was calculated. The patients were divided into age groups between 2nd to 10th decades. Linear regression analysis was carried out to identify the relationship between fracture incidence and the age or time of the injury. Correlation coefficients(R) and r2 were calculated for all the regression analyses. Fractures were also classified according to the Orthopaedic Trauma Association (OTA) classification system. SPSS (version 16) and Microsoft Excel 2007 were used for statistics.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 484 - 484
1 Sep 2012
Sharma V Dhawan R
Full Access

Aims and objectives

The aim of this study was to assess the radiographic outcome by using Lindstrom grading for the management of Malone 2A and 2B fractures by 3 different methods of treatment. The three different methods included manipulation under anaesthesia, k-wire fixation and open reduction internal fixation.

Methods and materials

Between March 2006 and February 2007, 62 intra-articular distal radius fractures were retrospectively selected. 31 patients including 21 females and 9 males with an average age of 62 years were classified as Malone 2A fractures and 32 patients including 18 females and 14 males with an average age of 64.5 years were classified as Malone 2B fractures. 18 patients had manipulation under anaesthetic (MUA) and immobilisation in a plaster of paris (POP) cast, 27 patients had manipulation and k-wire fixation and 17 patients had open reduction internal fixation (ORIF) of the fractures. All the patients had radiographic assessment at 6 weeks post op using Lindstrom grading. Grade 1 and 2 were considered acceptable, grade 3 and 4 were considered unacceptable.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 485 - 485
1 Sep 2012
Dhawan R Sharma V
Full Access

Aims and objectives

The aim of this study was to statistically analyse the calcaneal fractures occurring in the community and distribution within the various age groups divided into decades.

Methods and materials

Records of calcaneal fractures were retrieved from the audit department of the hospital using the various codes to identify patients reviewed in the clinics or admitted to the hospital between 1997 and 2009. The data collected included the total number of calcaneal fractures, total number in either gender, age at the time of incident, month of the year the incident occurred. Annual distribution of incidence of forearm fractures was calculated for every year and every month of the year. The age of the patients was divided into decades. Linear regression analysis and correlation coefficients were calculated between the incidence of fractures and different variables including age, gender and the time of the injury.