Background: The most frequent cause of maternal deaths in developing
countries is severe postpartum hemorrhage. We aimed to determine the risk factors
affecting blood and/or blood product transfusion in patients with postpartum
hemorrhage who were admitted to intensive care unit and to reveal clinical
outcomes. Methods: After local ethics committee approval, this
retrospective study included patients monitored due to postpartum hemorrhage in
the 2nd stage intensive care between 1 January 2019–1 January 2020. Patients were
divided into two groups as those requiring transfusion (n = 156) and those not
requiring transfusion (n = 162). Patients data such as age, blood group,
pregnancy week, gravida, parity, previous cesarean history, maternal comorbidity
were recorded. The form of delivery, trial of labor, cesarean type, indications,
anesthesia type, multiple pregnancy, placental anomalies and predelivery
hemoglobin were noteded. The amount of blood products used were identified.
Results: High parity (P = 0.002), normal vaginal delivery rate
(P
The most frequent cause of maternal deaths in developing countries is severe postpartum hemorrhage (PPH) which may cause blood transfusion requirements in 1.6% of obstetric cases [1, 2]. PPH, which may develop after normal vaginal delivery (ND) or cesarean delivery (CD), is reported to have incidence of 5–12% for all deliveries [3]. The most common cause of PPH is uterine atony, with other causes being uterus rupture, coagulopathies, genital injuries, placenta retention and placental anomalies [4, 5, 6]. Transfusion requirements may increase as a result of severe blood loss with the effect of placental abruption especially [7]. If PPH is not diagnosed early and necessary precautions are not taken, complications such as hemorrhagic shock, organ failures, disseminated intravascular coagulation and acute respiratory distress syndrome due to severe hemorrhage and blood product transfusions may increase maternal morbidity and mortality.
PPH treatment involves pharmacological methods such as intravenous fluid replacement, uterotonic agents, tranexamic acid and fibrinogen extracts, in addition possible emergency surgical interventions like uterine balloon tamponade, arterial ligation, b-lynch stitch, selective uterin artery embolization and hysterectomy to control bleeding [5, 6, 8, 9, 10, 11]. At the same time, blood and blood product replacement comprise an essential part of PPH treatment in every stage. Factors that mostly increase the blood transfusion requirement in PPH are maternal anemia, preeclampsia/HELLP, coagulopathy and placental anomalies [12]. Determining these risk factors may assist in predicting and preventing transfusions, thus may help decreasing maternal morbidity and mortality due to PPH.
Due to inadequacies in the definition and prediction of postpartum hemorrhage, the most objective parameter to assess seems to be the requirement of blood transfusion. In this study, we aimed to determine the risk factors affecting blood and/or blood product transfusion in patients with PPH who were admitted to intensive care unit and to reveal clinical outcomes.
This retrospective and cohort designed study included patients monitored due to
PPH in the 2nd stage intensive care in our hospital between
1 January 2019–1 January 2020. After receiving local ethics committee approval, patients
were enrolled from the hospital database. The inclusion criteria were women aged
16–55 years,
The files and observation forms for 347 patients were retrospectively investigated. Due to missing data in files and the hospital system, 29 patients were excluded from the study. 318 patients were analyzed. Patients with transfusion of red blood cell suspension (RBC), fresh frozen plasma (FFP) and platelet apheresis after delivery were identified. Patients were divided into two groups as those requiring blood or/and blood products transfusion (n = 156) and those not requiring transfusion (n = 162).
Indications for blood transfusion in our intensive care were; measured Hb value
We recorded patients data such as age, blood group, pregnancy week, gravida, parity, previous cesarean history, maternal comorbid diseases and presence of risk factors. The form of delivery, trial of labor, cesarean indications, anesthesia type, whether cesarean was emergency or elective and presence of multiple pregnancy were noted. The presence of major placental anomalies such as ablation placenta and placental invasion anomaly also was recorded. The amount of blood products used, use of fibrinogen extract and tranexamic acid and surgical interventions were identified. The hemoglobin, hematocrit and platelet values on admission and discharge from intensive care were noted. The sex, height, weight, 1st min and 5th min APGAR scores of neonates and presence of stillbirth were recorded. The duration of admission to intensive care of patients, complications, need for transfer to an advanced center and mortality rates were assessed.
Statistical analyses used the SPSS 22.0 for Windows program. Numerical data are
expressed as mean and standard deviation, while categoric data are given as
frequency and percentage. The Kolmogorov-Smirnov test was used to assess whether
non-categorical data abided by normal distribution or not. Comparison of data
abiding by normal distribution used the student t test. Comparison of
data not abiding by normal distribution used the Mann-Whitney U test, with
results given as mean
From 01.01.2019 to 01.01.2020, a total of 22,502 deliveries occurred at our hospital. Of these, 64.75% (14,569/22,502) were ND and 35.25% (7933/22,502) were CD. Among all cesarean delivery, primary CD rate was 3.8% (303/7933) and repeat CD rate was 96.2% (7630/7933). Among all deliveries, PPH rate was 1.54% (347/22,502). The PPH rate was 0.39% for those who with ND (57/14569) and 3.6% for those who with CD (290/7933), whereas PPH rate was 2.6% (8/303) in primary CD and 3.7% (282/7630) in repeat CD.
The demographic and obstetric datas of patients are shown in Table 1. Among patients taken to intensive care, 60.7% (193) had uterus atony-ablatio placenta, 16.4% (52) had placenta anomaly-retained placenta, 13.5% (43) had genital injury, 8.2% (26) had preeclampsia/HELLP and 1.3% (4) had thrombocytopenia indications.
Characteristics | Blood transfusion (n = 156) | No blood transfusion (n = 162) | P value |
Maternal age (years) | 30.06 |
30.75 |
0.400 |
Gravidity | 2.93 |
2.60 |
0.214 |
Parity | 2.4 |
2.0 |
0.002 |
0 | 50 (32.1) | 43 (26.5) | |
1 | 2 (1.3) | 14 (8.6) | |
2 | 27 (17.3) | 43 (26.5) | |
77 (49.4) | 62 (38.3)* | ||
Gestational week | 35.23 |
35.89 |
0.177 |
Preterm delivery ( |
59 (37.8) | 55 (34.0) | 0.472 |
Nulliparous (%) | 49 (31.4) | 44 (27.1) | 0.406 |
Mode of delivery (%) | |||
Spontaneous vaginal | 40 (25.6) | 11 (6.8) | |
In-labor cesarean | 61 (52.6) | 49 (32.5) | |
Elective cesarean | 55 (47.4) | 102 (67.5) | |
Number of previous cesarean deliveries | 0.001 | ||
0 | 42 (26.9) | 12 (7.4)* | |
1 | 54 (34.6) | 67 (41.4) | |
2 | 29 (18.6) | 46 (28.4) | |
31 (19.9) | 37 (22.8) | ||
Previous cesarean (No) | 42 (26.9) | 12 (7.4) | 0.001 |
Comorbidity (%) | 45 (28.8) | 23 (14.2) | 0.001 |
Gestational hypertensive disorders (%) | 14 (9.0) | 12 (7.4) | 0.610 |
Gestational diabetes mellitus (%) | 3 (1.9) | 5 (3.1) | 0.508 |
Multifetal gestation (%) | 2 (0.6) | 8 (4.9) | 0.062 |
Days in intensive care unit | 1.88 |
1.52 |
|
All continuous variables are expressed as medians [interquartile range] (mean), *Statisticaly significant. |
Eight patients had uterine balloon tamponade, three patients had hysterectomy and one patient had hypogastric arterial ligation. Four patients (1.25%) had hemorrhagic shock, transfusion-related acute lung injury, disseminated intravascular coagulation, acut renal failure and pleural effusion and required 3rd stage intensive care monitoring so they were transferred to an advanced center. Mortality was not seen in any patient.
Among patients with blood and/or blood transfusion performed, the RBC unit was
2.12
When factors that may affect transfusion are investigated, high parity
(P = 0.002) and normal vaginal delivery rate (P
Of patients, 267 had CD and 51 had ND. The ND rate was identified to be
statistically higher among those with blood and/or blood product transfusion
administered (P
The duration of intensive care admission was higher by a statistically
significant degree for those with blood and/or blood product transfusion
performed (P
Among patients, 21.3% (68) had comorbidities. The most common comorbidity was prepartum anemia at 15.7% (50). The comorbidity rate for those requiring transfusion was identified to be high by a statistically significant level (P = 0.001).
The peripartum features of patients are shown in Table 2. It was identified that
those requiring transfusion had low prepartum blood hemoglobin levels (P
Characteristics | Blood transfusion (n = 156) | No blood transfusion (n = 162) | P value |
Predelivery hemoglobin (g/dL) | 8.96 |
11.51 |
|
Trial of labor (%) | 44 (37.9) | 37 (24.5) | 0.018 |
Attempted instrumental delivery (%) | 11 (7.1) | 3 (1.9) | 0.024 |
Intrauterine ex fetus (%) | 8 (5.1) | 1 (0.6) | 0.015 |
Type of cesarean delivery | 0.001 | ||
Elective | 55 (47.4) | 102 (67.5) | |
Nonelective | 61 (52.6) | 49 (32.5) | |
Type of anesthesia | |||
General | 41 (35.3) | 20 (13.2) | |
Neuraxial | 75 (64.7) | 131 (86.8) | |
Use of tranexamic acid/fibrinogen extract (%) | 9 (5.8) | 8 (4.9) | 0.742 |
Use of surgical procedure (%) | 8 (5.1) | 4 (2.5) | 0.214 |
All continuous variables are expressed as medians [interquartile range] (mean), *Statisticaly significant. |
Additional analysis was performed to assess patients with CD. For patients with
CD, emergency cesarean and general anesthesia were statistically significant
factors for blood transfusions (P = 0.001 and P
The weight, height and sex of neonates were similar between the groups. The 1st and 5th minute APGAR scores for neonates in the group with blood transfusion were statistically lower (P = 0.011 and 0.015).
Multivariate logistic regression analysis was performed to assess factors
related to postpartum transfusion (Table 3). Positive correlations were
identified between parity (aOR [95% CI]: 0.258 (0.119–0.562)), gravida (aOR
[95% CI]: 1.452 (1.150–1.833)) and general anesthesia (aOR [95% CI]: 3.113
(1.593–6.086)) with postpartum blood transfusion. Antenatal hemoglobin level (aOR
[95% CI]: 0.506 (0.422–0.607)) had negative correlation with blood transfusion.
The area under the ROC curve was 0.813 and this shows acceptable differentiation
ability. If the cut-off value of 9.45 g/dL is taken for antenatal hemoglobin
level, sensitivity was 0.603, specificity was 90.1 (1-0.099) and successful
prediction rate was 81.3% (AUC) (P
Characteristics | OR | 95% CI | P value |
Maternal age | 1.173 | 0.582–2.365 | 0.656 |
Parity | 0.258 | 0.119–0.562 | 0.001 |
Gravidity | 1.452 | 1.150–1.833 | 0.002 |
Vaginal delivery (%) | 0.638 | 0.112–3.631 | 0.613 |
Previous cesarean | 0.240 | 0.050–1.157 | 0.075 |
Multifetal gestation (%) | 0.843 | 0.111–6.430 | 0.843 |
Other maternal diseases | 0.696 | 0.299–1.622 | 0.401 |
Trial of labor (%) | 1.605 | 0.863–2.984 | 0.135 |
Attempted instrumental delivery (%) | 0.210 | 0.033–1.352 | 0.100 |
Intrauterine ex fetus (%) | 6.680 | 0.548–81.45 | 0.137 |
Gestational hypertensive disorders | 3.041 | 0.869–10.64 | 0.082 |
Major placental abnormalities | 1.075 | 0.495–2.335 | 0.855 |
Predelivery hemoglobine | 0.506 | 0.422–0.607 | |
Nonelective cesarian delivery | 1.300 | 0.694–2.436 | 0.413 |
General anesthesia | 3.113 | 1.593–6.086 | 0.001 |
*Statisticaly significant; CI, confidence interval; OR, Odds-ratio. |
In this study, blood transfusion requirements were greater for cases with high parity, vaginal delivery, instrumental delivery, emergency cesarean, general anesthesia, maternal comorbidity, intrauterine fetal death, low prepartum hemoglobin level and prepartum anemia. Cases with fewer previous cesareans had greater transfusion requirements. Additionally, in multivariate logistic regression analysis gravida, parity, general anesthesia and low prepartum maternal hemoglobin levels were identified as risk factors for requiring blood transfusion.
While uterine atony is the most frequent cause of PPH, other causes include placenta retention, placental anomalies, genital injury and coagulopathy [14, 15]. A comprehensive study by Kramer et al. [16] reported 75% of PPH were due to uterine atony, while Evensen et al. [5] stated 70% of PPH was due to atony, 20% to genital trauma, 10% to the placenta and 1% to coagulopathy. In our study, 60.7% of patients had tonus (atony, ablation placenta), 16.4% had tissue (retained placenta, placenta anomalies), 13.5% had genital injury, 8.2% had HELLP-preeclampsia and 1.3% had coagulopathy as causes of PPH.
PPH is still an important public health problem due to elevated blood transfusion rates of 1.3–3.2% that should not be underestimated [12, 13]. This rate is reported to be higher (4.7%) for cesarean deliveries [17]. Many studies have focused on resolving this problem as an important and preventable cause of maternal morbidity and mortality. However, most previous studies have researched risk factors related to PPH and etiological causes, while there are a few studies assessing blood and/or blood product requirements, as an objective findings of hemorrhage. In this study, 49% of cases monitored in intensive care for PPH were identified to be administered blood and/or blood product replacement. As the study only included patients with intensive care requirements, our blood transfusion rate is significantly higher than rates in the literature. This rate of 0.69% (156/22502 for all deliveries) may be compared with previous studies. Chawla et al. [12] identified that patients requiring blood products used 2.46 units RBC, 2.06 units FFP and 0.46 units platelet apheresis for replacement in a study assessing obstetric patients. In our study, patients with transfusions used mean 2.12 RBC, 1.13 units FFP and 0.14 units platelet apheresis. The low mean values for blood transfusions compared to previous studies is considered to be due to our study being a supplementary hospital serving pregnant cases specifically with more frequent prepartum pregnancy monitoring, routine tests to identify prepartum anemia and routine treatment of anemia, routine examination of prepartum risk factors and routine use of oxytocin by all patients in the postpartum period.
Many studies reported that instrumental delivery like cesarean increase PPH risk [14, 18, 19]. Balki et al. [20] identified that there were higher rates of blood transfusion requirements for those with emergency cesarean compared to elective CD and ND in 104 patients monitored in the intensive care unit. Rottenstreıch et al. [17] stated that emergency cesarean increased blood transfusion requirements in a study of cesarean patients. It was identified that cesarean patients being administered general anesthesia led to more transfusion requirements compared to regional anesthesia as inhaled anesthetics reduce uterus contractility and platelet functions [13, 14, 17]. Compatible with previous studies, in our study patients with general anesthesia and emergency cesarean were identified to have more transfusion requirements.
It is a known reality that blood transfusion requirements increase with the increase in cesarean rates [21, 22]. Though many studies observed that there is a positive correlation between cesarean and blood transfusion requirements, in our patients more blood transfusions were administered to women with normal deliveries, contrary to previous studies. Although it may be considered that inadequacies in monitoring hemorrhage may be experienced as patients attending our hospital from rural areas have high anemia rates and there is a high daily ND rate in our hospital, we believe there is a need to research this topic in larger studies.
One of the important factors affecting blood transfusion is the presence of
prepartum maternal comorbidity and blood hemoglobin level linked to the most
common comorbidity of anemia [8, 17, 20]. Rottenstreıch et al. [17] reported that presence of prepartum anemia (hemoglobin level
High maternal age (
This study has some strengths and limitations. Meticulous data collection and standardized blood transfusion protocol are among the strengths of this study. We have records of all blood products delivered. Another important strength is that we were able to evaluate potential risk factors for the required for postpartum blood transfusion. Limitations in this study include its retrospective design and lack of information on anticoagulant medication use history, previous PPH history and previous abdominal surgery history. We had no data about maternal obesity which is one of the risk factors for hemorrhage. Therefore, the effect of maternal obesity on blood transfusion could not be evaluated. Our study included a 1-year period, but the sample size is at a level that can be adapted to the general population. In the postpartum period, there were no records of the amount of bleeding could not be determined. In future studies on this subject, evaluating the amount of bleeding may also be a guide. Transfusion-related reactions and complications could not be obtained from the records.
The strongest antepartum and intrapartum independent risk factors affecting blood and/or blood product transfusion of patients monitored in the intensive care due to PPH were parity, normal delivery, presence of maternal comorbidity, trial of labor, manipulation during delivery, intrauterine fetal death, emergency cesarean and general anesthesia. Based on these risk factors, PPH development risk analysis may be performed in the prepartum period, hemorrhage risk may be classified and pregnant cases with high transfusion risk may be predicted and clinical precautions taken to reduce transfusion. We suggest that preoperative intervetions for correctable risk factors may reduce transfusion requirements, thus in-clinical management targets may be determined to avoid preventable maternal mortality and morbidity due to PPH.
CD, cesarean delivery; FFP, fresh frozen plasma; ND, normal vaginal delivery; PPH, postpartum hemorrhage; RBC, red blood cell.
FS initiated and designed the study, and analyzed and interpreted the patient data, and was a major contributor in writing the manuscript. MB, designed the study database and performed statistical processing and drafting of the manuscript. All authors read and approved the manuscript in its final version.
This study was approved by the Local Ethics Committee University of Health Sciences Gazi Yaşargil Training and Research Hospital (approval date and number: 13.03.2020-448). Our institution’s Review Board does not require informed consent for retrospective study. Therefore, consent was not obtained in accordance with institutional guidelines.
We would like to express my gratitude to all those who helped me during the writing of this manuscript. Thanks to all the peer reviewers for their opinions and suggestions.
This research received no external funding.
The authors declare no conflict of interest.