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1.
Int J Hematol Oncol Stem Cell Res ; 13(2): 95-101, 2019 Apr 01.
Article in English | MEDLINE | ID: mdl-31372203

ABSTRACT

Background: Nowadays, excessive blood intake is one of the most common problems in educational hospitals, causing issues such as the lack of proper distribution of blood products among centres, increases in costs and blood bank workloads. So, programs such as a Maximum Surgical Blood Ordering Schedule (MSBOS) were introduced to design a blood ordering schedule, which is a guide to normal transfusion needs for common surgical procedures. Materials and Methods: This study was a descriptive cross-sectional study. The sampling method was designed and distributed among all sectors of the hospital. Each sector according to the demand for blood and cross-matched transfused units entered the rate of wasted and unused blood bags on the related forms. This study was performed on 1568 patients, of whom 562 (35/84%) were given blood transfusions. Results: The aim of this study was to determine the pattern for the maximum surgical blood order schedule (MSBOS) for elective surgical procedures/in elective surgery cases in Imam Ali Hospital, Zahedan. This study was performed on 1568 patients, of whom 562 (35/84%) were given blood transfusions. The mean C/T ratio was 1.61 ± 0.99, the mean TI was 0.61 ± 0.38, and the mean T index was 36.4 ± 30.16%. Conclusion: In general, only 55% of the blood units were used. Hernia surgery, thyroidectomy, and patients with renal problems had the greatest number of wasted units. Therefore, according to the results, indications of blood donation should be made correctly by health care personnel in all patients requiring a blood transfusion, and if there is an increased number of indications, packed cells are requested.

2.
Clin Exp Hypertens ; 41(6): 583-588, 2019.
Article in English | MEDLINE | ID: mdl-30388904

ABSTRACT

Background: Blood pressure dysfunctions are one of the biggest complications and causes of maternal mortality during pregnancy. The aim of the present study is to evaluate some of the clinical and demographic risk factors in various aspects, both of which can help to better understand the causes and reduce the incidence of preeclampsia. Method: This nested case-control study was carried out on 270 pregnant women with preeclampsia as the case group and 270 pregnant women who did not have symptoms of preeclampsia at the time of referral were interviewed according to inclusion criteria as the control group. The factors studied included age, body mass index, history of hypertension in mother, history of diabetes in mother, history of lupus in mother, number of pregnancies, history of preeclampsia in previous pregnancies, twin or more pregnancies, season of occurrence, maternal educational level, maternal blood group, maternal occupation status, infant's sex and smoking status which were compared etween the  two groups. t test and Chi-square tests were used to compare the variables in both groups. Fisher's exact test or Mann-Whitney U test was used if necessary. Findings: Of the 6929 pregnant women who participated in our study, 541 (7.8%) had preeclampsia. The means of body mass index (BMI) (24.86% versus 23.52%) (P = 0.032), the history of hypertension (19.3% versus 10.7%) (P = 0.006), history of preeclampsia in previous pregnancies (60.2% versus 13.3%) (P < 0.001), low level of education and illiteracy (51.1% versus 39.6%) (P = 0.028), and twin or more pregnancies (5.6% versus 2.2%) (P = 0.045) were significantly higher in the case group when compared to the control group. There was no statistically significant difference between the mean and standard deviation of age and number of pregnancies and the frequency of diabetes and lupus, the frequency of maternal occupation, maternal smoking, maternal blood group, and season of occurrence in the two groups (P > 0.05). Conclusion: Maternal BMI, maternal hypertension, history of preeclampsia in previous pregnancies, low maternal educational status, and twin or multiple pregnancies might be the risk factors for preeclampsia during pregnancy.


Subject(s)
Pre-Eclampsia/epidemiology , Risk Assessment/methods , Urban Population , Adolescent , Adult , Body Mass Index , Case-Control Studies , Female , Humans , Incidence , Iran/epidemiology , Pregnancy , Risk Factors , Young Adult
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