M Akhavan Sepahi, Sh Hejazi, A Koopai, K Eshagh Hoseini, A Belbasi,
Volume 8, Issue 1 (20 2012)
Abstract
Background & Objectives:
Nowadays the performance of
hospital blood banks is assessed by cross-match to transfused unit ratio which
it is recommended to be less than 2.0. The aim of this study was to evaluate
the most common indications for blood transfusion in Qum University hospitals.
Methods: In this retrospective study 4370 blood order forms from March 2010 till
April 2011 were assessed. To calculate C/T ratio, the number of cross-matched
units was divided by the number of transfused units.
Results: Of total 4370 blood order, 57.1% were male. From all blood order forms,
16.42% (C/T : 1.196) were not transfused. The highest rate of blood orders
pertained to surgery emergency and trauma (23.3%), hematology and oncology
(14%), gynecology (11.3%), internal ward and nephrology (8%), infectious ward
(6.9%), burn ward (5.9%), general surgery (4.4%), orthopedics (3.2%), ICU
(2.3%) and pediatrics (8.6%).
Packed cell was the product with the highest order rate of 78.7% in Qom
teaching hospitals however, out of this rate 44% remained untransfused.
Conclusion: According to the findings of this study the rate of
non-transfused ordered blood components in Qom teaching hospitals seems very
high. Thus, it is recommended to employ the international and/or national
guidelines in order to reach to optimal rate.
Normal
Farahnoosh Farnood, Elnaz Faramarzi, Aysouda Ghanizadegan, Seyyedeh Mina Hejazian, Sepideh Zununi Vahed, Mohammadreza Ardalan,
Volume 21, Issue 1 (Vol.21, No.1, Spring 2025)
Abstract
Background and Objectives: Sleep disorders are common issues in people's health and can be related to metabolic and kidney diseases. Studies have shown that the relationship between proteinuria and sleep disorders can be modified. Since this relationship has not been investigated in Iranian populations, this study examined the relationship between proteinuria and sleep in the Azar cohort population.
Methods: This cross-sectional study used data from the Azar cohort study with a population of 15,000. Based on the study's inclusion and exclusion criteria, 105 patients with proteinuria were selected. After age and sex matching, 420 patients without proteinuria were included in the control group. The patients' sleep patterns were assessed based on a designed questionnaire, and the results were compared between the two groups.
Results: None of the sleep factors significantly differed between the two groups with and without proteinuria (P>0.05). Moreover, the mean weight, waist circumference, systolic blood pressure, diastolic blood pressure, and body mass index (BMI) were significantly different in the two groups (P<0.001).
Conclusion: There was no significant relationship between proteinuria and sleep in the Azar cohort population. However, the weight, BMI, waist circumference, and systolic and diastolic blood pressure significantly differed between people with and without proteinuria.
