| چکیده انگلیسی مقاله |
Objectives: This study aimed to compare the effectiveness of Trauma and Injury Severity Scores (TRISS) and Madras Head Injury Prognostic Scale (MHIPS) in assessing the prognosis of head trauma patients in the emergency department. Methods: In this descriptive-analytical (predictive) study, 140 head trauma patients admitted to the emergency department of Shahid Beheshti Hospital (Sabzevar, Iran), were included from January to November 2023. Participants were selected via convenience sampling method and based on the inclusion criteria. Data were collected using a demographic questionnaire, the TRISS, and the MHIPS scale, and analyzed using Stata software (version 17). Results: The mean age of the injured patients was 39.72±19.86 years, and 102 (73%) patients were male. For intensive care unit (ICU) hospitalization prediction, the MHIPS tool showed a sensitivity of 92%, specificity of 86%, positive predictive value (PPV) of 60%, and negative predictive value (NPV) of 98%. For mortality prediction, the MHIPS tool had a sensitivity of 89%, specificity of 86%, PPV of 27%, and NPV of 99% in predicting death. The TRISS tool demonstrated a sensitivity of 81%, a specificity of 96%, a PPV of 81%, and an NPV of 95% for ICU hospitalization, and a sensitivity of 75%, specificity of 87%, PPV of 26%, and NPV of 98% for mortality. No significant difference was observed between TRISS and MHIPS in predicting the probability of ICU admission and mortality (p=0.797). Conclusion: Both TRISS and MHIPS demonstrated satisfactory predictive value for head trauma outcomes, with neither tool being superior to the other. Objectives: This study aimed to compare the effectiveness of Trauma and Injury Severity Scores (TRISS) and Madras Head Injury Prognostic Scale (MHIPS) in assessing the prognosis of head trauma patients in the emergency department. Methods: In this descriptive-analytical (predictive) study, 140 head trauma patients admitted to the emergency department of Shahid Beheshti Hospital (Sabzevar, Iran), were included from January to November 2023. Participants were selected via convenience sampling method and based on the inclusion criteria. Data were collected using a demographic questionnaire, the TRISS, and the MHIPS scale, and analyzed using Stata software (version 17). Results: The mean age of the injured patients was 39.72±19.86 years, and 102 (73%) patients were male. For intensive care unit (ICU) hospitalization prediction, the MHIPS tool showed a sensitivity of 92%, specificity of 86%, positive predictive value (PPV) of 60%, and negative predictive value (NPV) of 98%. For mortality prediction, the MHIPS tool had a sensitivity of 89%, specificity of 86%, PPV of 27%, and NPV of 99% in predicting death. The TRISS tool demonstrated a sensitivity of 81%, a specificity of 96%, a PPV of 81%, and an NPV of 95% for ICU hospitalization, and a sensitivity of 75%, specificity of 87%, PPV of 26%, and NPV of 98% for mortality. No significant difference was observed between TRISS and MHIPS in predicting the probability of ICU admission and mortality (p=0.797). Conclusion: Both TRISS and MHIPS demonstrated satisfactory predictive value for head trauma outcomes, with neither tool being superior to the other. |
| نویسندگان مقاله |
Marjan Hamidnezhad |
Master's student in nursing, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran
Mozhgan Ansari |
Associate Professor of Nursing, Department of Nursing and midwifery, Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran
Tahura Afshari Saleh |
Assistant Professor, Department of Emergency Medicine, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran
Samira Foji |
Assistant professor in Nursing, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran
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