LOGISTIC REGRESSION MODELING FOR EVALUATION OF FACTORS AFFECTING TRAUMA OUTCOME IN A LEVEL I TRAUMA CENTER IN SHIRAZ

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YADOLLAHI MAHNAZ; ANVAR MEHRDAD; GHAEM HALEH; BOLANDPARVAZ SHAHRAM; PAYDAR SHAHRAM; IZIANLOO FATEME

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Journal: Iranian Red Crescent Medical Journal Year:2017 | Volume:19 | Issue:1 Page(s): 0-0

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Title

LOGISTIC REGRESSION MODELING FOR EVALUATION OF FACTORS AFFECTING TRAUMA OUTCOME IN A LEVEL I TRAUMA CENTER IN SHIRAZ

Author(s)

Keywords

IN-HOSPITAL MORTALITY

RISK FACTORS

INJURY SEVERITY SCORE

LOGISTIC MODELS

NOSOCOMIAL INFECTION

Abstract

Background: Since injury-related mortality is preventable, identifying factors that inversely affect trauma outcome are important initial steps towards reducing injury burden.Objectives: This study aims to determine independent RISK FACTORS of early/late IN-HOSPITAL MORTALITY among adult trauma victims with equal injury characteristics and severity at Shahid Rajaee (Emtiaz) Hospital during 2013 and 2014.Patients and Methods: Across-sectional study of adult trauma patients (age³15 years) sustaining injury through traffic accidents, violence, and unintentional incidents was conducted. Information was retrieved from three hospital administrative databases. Data on demographics, injury mechanisms, injured body regions, injury descriptions, outcomes of hospitalization, and development of NOSOCOMIAL INFECTIONs were recorded. INJURY SEVERITY SCORE was calculated by cross walking from international classification of diseases (ICD-10) injury diagnosis codes to abbreviated injury scale (AIS-98) severity codes. Two multiple logistic regression models were employed to reflect the partial effect of each covariate on early (within 48 hours) and late (beyond 48 hours) deaths.Results: There were 47, 295 hospitalized patients (male/female ratio: 2.7: 1.0) with a median age of 30 years (interquartile range 23 - 44 years). A crude mortality rate of 1% (454 cases) was observed and 52% of deaths occurred within 48 hours of hospital arrival. One percent developed a NOSOCOMIAL INFECTION in the course of admission. After adjusting for covariates, sustaining a thoracic injury (OR 8.5, 95% CI [4.7 - 15.2]), ISS over 16 (OR 6.4, 95% CI [3.6 - 11.4]) and age over 65 years (OR 5.1, 95% CI [3.0 - 8.8]) were the most important independent RISK FACTORS of early trauma death. Presence of a hospital-acquired infection (OR 12.7, 95% CI [8.9 - 18.1]), age over 65 years (OR 7.4 95% CI [4.5 - 12.1]), and ISS of more than 16 (OR 14.6, 95% CI [6.2 - 34.3]) were independent predictors of late death.Conclusions: Age, injury severity, injured body region, and hospital-acquired infections are important determinants of trauma outcome in our center. Timely recognition of factors affecting trauma mortality is crucial for monitoring changes of trauma quality of care. Our findings suggest the need to allocate resources for trauma prevention along with a potential focus on reducing in hospital complications.

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APA: Copy

YADOLLAHI, MAHNAZ, ANVAR, MEHRDAD, GHAEM, HALEH, BOLANDPARVAZ, SHAHRAM, PAYDAR, SHAHRAM, & IZIANLOO, FATEME. (2017). LOGISTIC REGRESSION MODELING FOR EVALUATION OF FACTORS AFFECTING TRAUMA OUTCOME IN A LEVEL I TRAUMA CENTER IN SHIRAZ. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), 19(1), 0-0. SID. https://sid.ir/paper/293327/en

Vancouver: Copy

YADOLLAHI MAHNAZ, ANVAR MEHRDAD, GHAEM HALEH, BOLANDPARVAZ SHAHRAM, PAYDAR SHAHRAM, IZIANLOO FATEME. LOGISTIC REGRESSION MODELING FOR EVALUATION OF FACTORS AFFECTING TRAUMA OUTCOME IN A LEVEL I TRAUMA CENTER IN SHIRAZ. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ)[Internet]. 2017;19(1):0-0. Available from: https://sid.ir/paper/293327/en

IEEE: Copy

MAHNAZ YADOLLAHI, MEHRDAD ANVAR, HALEH GHAEM, SHAHRAM BOLANDPARVAZ, SHAHRAM PAYDAR, and FATEME IZIANLOO, “LOGISTIC REGRESSION MODELING FOR EVALUATION OF FACTORS AFFECTING TRAUMA OUTCOME IN A LEVEL I TRAUMA CENTER IN SHIRAZ,” IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), vol. 19, no. 1, pp. 0–0, 2017, [Online]. Available: https://sid.ir/paper/293327/en

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