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Showing 2 results for Fakhr-Movahedi

Ali Fakhr-Movahedi , Abbasali Ebrahimian , Majid Mirmohammadkhani , Saeedeh Ghasemi ,
Volume 74, Issue 2 (May 2016)
Abstract

Background: Coronary artery disease is considered as main factor for patients’ hospitalization. Chest pain is the most common symptoms of patients and its assessment is an important factor in coronary artery disease. So, this study aimed to determine the relationship between the severity of chest pain with physiological indexes in patients with coronary artery disease.

Methods: This study was a descriptive-analytical design that performed on 80 patients with that were hospitalized in coronary care unit of Shahid Mofatteh Hospital in Varamin city, Iran, from March to September, 2014. In this study, the relationship between the chest pain severity and blood pressure, pulse rate, respiratory rate, O2 saturation and ST segment alterations were assessed. Finally, the gathered data were analyzed by descriptive and inferential statistics.

Results: The mean of chest pain severity was 6.51±2.14 in patients. Patients’ age was between 26 to 85 years old and the mean of age was 60.79±13.79 and there was no significant correlation between age and chest pain severity (P=0.985). Also male and female patients were equal. There was no significant difference between chest pain severity of men and women (P=0.471). The findings of study showed no correlation between chest pain severity and heart rate (r=-0.174 and P=0.122), respiratory rate (r=-0.013 and P=0.909), O2 saturation (r=0.051 and P=0.651), ST segment alterations (r=0.07 and P=0.539). Also, there was no significant difference between chest pain severity and systolic pressure (P=0.353), diastolic blood pressure (P=0.312) and body mass index (P=0.256) among patients.

Conclusion: In this study, there were not enough evidences for relation between chest pain and physiological indexes in patients with coronary artery disease. So performing more studies in another settings and conditions recommended.


Abbasali Ebrahimian , Ali Fakhr-Movahedi , Raheb Ghorbani , Hossein Ghasemian-Nik,
Volume 76, Issue 7 (October 2018)
Abstract

Background: Hospital bed capacity is one of problems in intensive care unit during at the time of crisis, emergencies and disasters. At this regard, it seems reverse triage can resolve this issue by using predictive score systems. This study was purposed to develop a reverse triage system in intensive care unit using APACHE II scoring system for crisis, emergencies and disasters situations.
Methods: This study was performed by a prospective longitudinal design that lasted from March 2016 to February 2017. Research population were 420 internal patients that were admitted in intensive care units of Imam Reza Hospital in Mashhad, Iran. Data were collected and documented for each patient by demographic questionnaire and APACHE II scoring system daily until discharging time from intensive care units. The patient’s status after discharge from the intensive care unit was used as a criterion for statistical tests.
Results: APACHE II mean score in first day of admission was 18.9±16.20. Risk ratio of patients’ discharging from intensive care unit was 1.034. The patients were placed in four levels of inverse triage according to mortality rate and risk ratio. The scores of four levels were including: 0-10 (first level and green color), 11-16 (second level and yellow color), 27-71 (third level and black color) and 17-26 (fourth level and red color).
Conclusion: The Apache II system can be used as a tool for reverse triage in intensive care units during at the time of crisis, emergencies and disasters. When using this system for reverse triage, patients at the first to third levels can be discharged from intensive care unit. However, patients on the fourth level should not be discharged from intensive care units under any circumstances.


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