Background:Neutropenia with fever is a common syndrome in patients with hematologic malignancies who have a high risk of infectious diseases. As early diagnosis of infection in such patients is really important, the aim of this study was to investigate the sensitivity and specificity of procalcitonin (PCT) and C-reactive protein (CRP) in the diagnosis of sepsis in febrile neutropenic patients in a referral malignant care center of Isfahan in 2010-2011.Materials and Methods:In this analytical cross-sectional study, all the febrile neutropenic patients who were admitted in the referral malignant care center in 2010-2011 were evaluated. The data from every individual, including sex, age, admission time, and duration of fever before taking antibiotics were collected. Sixty-four subjects were involved in the study. Blood samples of the subjects were obtained and the levels of PCT, CRP, Absolute neutrophil count (ANC), and white blood cell count were measured, and blood cultures were obtained. According to the test results, the 64 subjects were divided into two groups including patients with sepsis and without sepsis.Results:Mean value of PCT in the sepsis group was 28.65 ± 2.68 and in the non-sepsis group was 2.48 ± 0.66, with a P value of 0.000. In case of CRP, the sepsis group had a mean of 159.48 ± 9.73 and the non-sepsis group had a mean of 126.17 ± 10.63 (P = 0.015). Sensitivity and specificity were analyzed by using receiver operating characteristic (ROC) curve and were found to be 92.5% and 97.3%, respectively, for PCT and 70.5% and 42.1%, respectively, for CRP.Conclusion:PCT can be considered as a predictive factor and a diagnostic marker for the diagnosis of sepsis in febrile neutropenic patients.

Background and Objective: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore the estimation of the severity of trauma and progressing to mortality before further evaluation is justified. In this study, we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to describe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS were the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in shortterm mortality prediction.

Background and Objective: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore the estimation of the severity of trauma and progressing to mortality before further evaluation is justified. In this study, we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to describe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS were the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in shortterm mortality prediction.

Background: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore estimation of the severity of trauma and progressing to mortality before further evaluation is justified. Numerous trauma scoring systems have been apllied worldwide as models for predicting mortality of trauma patients in short and long term periods based on clinical and laboratory data. In this study we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to discribe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS was the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in short term mortality prediction.

background: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore estimation of the severity of trauma and progressing to mortality before further evaluation is justified. Numerous trauma scoring systems have been apllied worldwide as models for predicting mortality of trauma patients in short and long term periods based on clinical and laboratory data. In this study we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to discribe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS was the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusion: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in short term mortality prediction.