The visually estimated blood volume in scaled canisters based on a simulation study

Background The most common technique used worldwide to quantify blood loss during an operation is the visual assessment by the attending intervention team. In every operating room you will find scaled suction canisters that collect fluids from the surgical field. This scaling is commonly used by clinicians for visual assessment of intraoperative blood loss. While many studies have been conducted to quantify and improve the inaccuracy of the visual estimation method, research has focused on the estimation of blood volume in surgical drapes. The question whether and how scaling of canisters correlates with actual blood loss and how accurately clinicians estimate blood loss in scaled canisters has not been the focus of research to date. Methods A simulation study with four “bleeding” scenarios was conducted using expired whole blood donations. After diluting the blood donations with full electrolyte solution, the sample blood loss volume (SBL) was transferred into suction canisters. The study participants then had to estimate the blood loss in all four scenarios. The difference to the reference blood loss (RBL) per scenario was analyzed. Results Fifty-three anesthetists participated in the study. The median estimated blood loss was 500 ml (IQR 300/1150) compared to the RBL median of 281.5 ml (IQR 210.0/1022.0). Overestimations up to 1233 ml were detected. Underestimations were also observed in the range of 138 ml. The visual estimate for canisters correlated moderately with RBL (Spearman’s rho: 0.818; p < 0.001). Results from univariate nonparametric confirmation statistics regarding visual estimation of canisters show that the deviation of the visual estimate of blood loss is significant (z = − 10.95, p < 0.001, n = 220). Participants’ experience level had no significant influence on VEBL (p = 0.402). Conclusion The discrepancies between the visual estimate of canisters and the actual blood loss are enormous despite the given scales. Therefore, we do not recommend estimating the blood loss visually in scaled suction canisters. Colorimetric blood loss estimation could be a more accurate option.

Healthcare workers’ knowledge and attitude towards prompt referral of women with postpartum haemorrhage in Nigeria: a community-based study

Background: Postpartum Haemorrhage (PPH) is a major contributor to maternal mortality in developing countries most especially in the rural areas where Emergency Obstetric Care (EmOC) are not available. Delay in referring women from rural health facilities to settings where EmOC services are available have been reported. This study assessed community-based healthcare workers’ (CHWs) knowledge and attitude towards the prevention, early recognition and prompt referral of women with Post-Partum Haemorrhage (PPH) for Emergency Obstetric Care (EmOC).Methods: Descriptive cross-sectional design was used. Structured questionnaire was used to collect data from 200 CHWs recruited from community-based healthcare. Data analysis was done in SPSS version 20 at significance level of 0.05.Results: Findings show that 86.5% (n=173) of the respondents had good knowledge while 12% (n=24) and 1.5% (n=3) had moderate and poor knowledge respectively. Negative attitude towards prompt referral of women affected with PPH was found among 51% (n=102) of the respondents. Unavailability of blood drapes to estimate blood loss [χ2 (1, n=200) = 4.51, p=0.03], lack of ambulance [χ2 (1, n=200) = 4.46, p=0.03], and poor state of the roads [χ2 (1, n=200) = 4.44, p=0.03] were factors linked to poor attitude of CHWs towards prompt referral of affected women.Conclusions: The study concluded that there is a need for intervention that can help improve community healthcare workers’ attitude towards prompt referral of women affected with postpartum haemorrhage. There is also a need for general overhaul of community-based facilities to effectively support prompt referral.

Digital postpartum hemorrhage management device (DPHMD)

Background Primary postpartum hemorrhage (PPH) is an obstetric emergency caused by excessive blood loss that occurs most commonly after the placenta is delivered. PPH can lead to volume depletion, hypovolemic shock, anemia, and it is the leading cause of maternal mortality worldwide. With 470 deaths per 100,000 live births, the maternal mortality ratio in Ethiopia is one of the highest in the world. It is estimated that 94% of births occur at home in Ethiopia and that 10% of maternal deaths are attributed to PPH. Currently, physicians use visual estimation to calculate blood loss and provide fluid during delivery. This traditional method is subjective and generally inaccurate. Method In this project, after delivery blood loss measurement system integrated with fluid delivery and vital sign monitoring method is proposed. The collection and measurement system collects blood loss after delivery and measures the amount of blood loss. The management system continuously monitors the mother’s heart rate and blood pressure. These vital sign values are integrated with the measured blood loss to estimate the amount of IV fluid required to be delivered for the mother. The rate of IV fluid delivery is regulated by a flow rate sensor and solenoid valve. Results The prototype was built and undergone through different tests and iterations. The proposed device was tested for accuracy, cost effectiveness and ease to use. 91.28% accuracy has been achieved and the prototype was built with less than 210 USD. Conclusion The proposed design allows physicians, especially those in low resource setting, to estimate blood loss and deliver fluid accurately. This helps to reduce maternal mortality rate that may occur due to postpartum hemorrhage.

Digital Postpartum Hemorrhage Management Device (DPHMD)

Background Primary postpartum hemorrhage (PPH) is an obstetric emergency caused by excessive blood loss that occurs most commonly after the placenta is delivered. PPH can lead to volume depletion, hypovolemic shock, anemia, and it is the leading cause of maternal mortality worldwide. With 470 deaths per 100,000 live births, the maternal mortality ratio in Ethiopia is one of the highest in the world. It is estimated that 94% of births occur at home in Ethiopia and that 10% of maternal deaths are attributed to PPH. Currently, physicians use visual estimation to calculate blood loss and provide fluid during delivery. This traditional method is subjective and generally inaccurate.Method In this project, after delivery blood loss measurement system integrated with fluid delivery and vital sign monitoring method is proposed. The collection and measurement system collects blood loss after delivery and measures the amount of blood loss. The management system continuously monitors the mother’s heart rate and blood pressure. These vital sign values are integrated with the measured blood loss to estimate the amount of IV fluid required to be delivered for the mother. The rate of IV fluid delivery is regulated by a flow rate sensor and solenoid valve.Results The prototype was built and undergone through different tests and iterations. The proposed device was tested for accuracy, cost effectiveness and ease to use. 91.28% accuracy has been achieved and the prototype was built with less than 210 USD.Conclusion The proposed design allows physicians, especially those in low resource setting, to estimate blood loss and deliver fluid accurately. This helps to reduce maternal mortality rate that may occur due to postpartum hemorrhage.

Digital Postpartum Hemorrhage Management Device (DPHMD)

Background Primary postpartum hemorrhage (PPH) is an obstetric emergency caused by excessive blood loss that occurs most commonly after the placenta is delivered. PPH can lead to volume depletion, hypovolemic shock, anemia, and it is the leading cause of maternal mortality worldwide. Maternal mortality ratio in Ethiopia is among the highest in the world with 470 deaths per 100,000 live births. 94% of births in Ethiopia are estimated to occur at home and 10% of maternal deaths are attributed to PPH. Currently, physicians use visual estimation to calculate blood loss and provide fluid during delivery. This traditional method is subjective and generally inaccurate.Method In this project, after delivery blood loss measurement system integrated with fluid delivery and vital sign monitoring method is proposed. The collection and measurement system collects blood loss after delivery and measures the amount of blood loss. The management system continuously monitors the mother’s heart rate and blood pressure. These vital sign values are integrated with the measured blood loss to estimate the amount of IV fluid required to be delivered for the mother. The rate of IV fluid delivery is regulated by a flow rate sensor and solenoid valve.Results The prototype was built and undergone through different tests and iterations. The proposed device was tested for accuracy, cost effectiveness and ease to use. 91.28% accuracy has been achieved and the prototype was built with less than 210 USD.Conclusion The proposed design allows physicians, especially those in low resource setting, to estimate blood loss and deliver fluid accurately. This helps to reduce maternal mortality rate that may occur due to postpartum hemorrhage.

Digital Postpartum Hemorrhage Management Device (DPHMD)

Baclground Postpartum hemorrhage (PPH) is an obstetric emergency caused by excessive blood loss that occurs most commonly after the placenta is delivered. PPH can lead to volume depletion, hypovolemic shock, anemia, which is the leading cause of maternal mortality worldwide. Maternal mortality rate in Ethiopia is among the highest in the world with 470 deaths per 100,000 live births. 94% of births in Ethiopia are estimated to occur at home and ten percent of maternal deaths are attributed to PPH. Now a days, physicians use visual estimation to calculate blood loss and provide fluid during delivery. This traditional method is subjective and generally inaccurate.Method In this project, after delivery blood loss measurement system integrated with fluid delivery and vital sign monitoring method is proposed. The collection and measurement system collects blood loss after delivery and measure the amount of blood loss. The management system continuously monitors the mother’s heart rate, respiratory rate and blood pressure, and integrates the measured blood loss to make decision for providing appropriate fluid and medication necessary for the mothers. The fluid provided for mothers is also controlled automatically.Results The prototype was built and undergone through different tests and iterations. The proposed device was tested for accuracy, cost effectiveness and ease to use. 91.28% accuracy has been achieved and the prototype was built only with less than 210 USD.Conclusion The proposed design allows physicinas, especially those in low resource setting, to estimate blood loss and delver fluid accurately. This helps to reduce maternal mortality rate that may occur due to postpartum hemorrhage.

P42 Predicting bleeding risk during meningioma surgery

ObjectivesSurgical treatment of meningioma is frequently accompanied by significant intraoperative blood loss and the associated risks of blood transfusion. Surgical adjuncts such as pre-operative embolisation and the use of tranexamic acid have attendant risks. An ability to estimate blood loss can appropriately target these interventions.DesignRetrospective studySubjectsPatients following surgery for meningioma between 2015–2018MethodsIntraoperative blood loss, pre- to post-operative haemoglobin difference and blood transfusion were evaluated. Pre-operative imaging included size, shape and location of meningioma, involvement of sinuses and blood vessels, T1 and T2 weighted characteristics, restricted diffusion, peritumoral oedema, dural tail and hyperostosis. Multivariate analysis was used to determine the relationship between meningioma characteristics and blood loss.ResultsTumour diameter and venous sinus opening were significantly related to blood loss on multivariate analysis (p=0.004 and p=0.001 respectively). Furthermore, on univariate analysis additional factors included procedure duration (p<0.0001), pre-operative radiotherapy (p=0.042) and pre-operative platelet count (p=0.03).ConclusionsOnly size of tumour and opening venous sinuses was related to intraoperative bloods loss in this cohort of patients. Further research is required to define tumour characteristics that can be used to identify patients suitable for pre- and intra-operative adjunct therapies.

Can the Induction of Labor with Misoprostol Increase Maternal Blood Loss?

Purpose To evaluate blood loss during misoprostol-induced vaginal births and during cesarean sections after attempted misoprostol induction. Methods We conducted a prospective observational study in 101 pregnant women indicated for labor induction; pre- and postpartum hemoglobin levels were measured to estimate blood loss during delivery. Labor was induced by administering 25 µg vaginal misoprostol every 6 hours (with a maximum of 6 doses). The control group included 30 patients who spontaneously entered labor, and 30 patients who underwent elective cesarean section. Pre- and postpartum hemoglobin levels were evaluated using the analysis of variance for repeated measurements, showing the effects of time (pre- and postpartum) and of the group (with and without misoprostol administration). Results There were significant differences between pre- and postpartum hemoglobin levels (p < 0.0001) with regard to misoprostol-induced vaginal deliveries (1.6 ± 1.4 mg/dL), non-induced vaginal deliveries (1.4 ± 1.0 mg/dL), cesarean sections after attempted misoprostol induction (1.5 ± 1.0 mg/dL), and elective cesarean deliveries (1.8 ± 1.1 mg/dL). However, the differences were proportional between the groups with and without misoprostol administration, for both cesarean (p = 0.6845) and vaginal deliveries (p = 0.2694). Conclusions Labor induction using misoprostol did not affect blood loss during delivery.

Standardized Visual Estimation of Blood Loss during Vaginal Delivery with its Correlation Hematocrit Changes—A Descriptive Study

ABSTRACT Introduction Postpartum hemorrhage is a leading cause of maternal morbidity and mortality. Traditionally, visual method with variations in accuracy is followed, because it is quick, simple and noninvasive. To rely on this method accuracy is of vital importance. This study was aimed to improve accuracy of visual estimation of blood loss during vaginal delivery by standardizing (using similar sized mops and a fixed container) and correlating with hematocrit changes. Methods design A descriptive study. Sample size 250 women. Single fixed collecting container and similar sized mops were used in the third stage of labor. Blood was drained into the container and was visually calibrated by a single trained observer. The soaking characteristics of the mops were used to estimate total blood loss. Blood spillage on delivery table, garments and floor were approximately assessed. Total blood loss was calculated from the above three sources. Hemoglobin and hematocrit measurements were done at the time of admission and, at 24 and 72 hours postpartum and its correlation was done with blood loss. Analysis By paired and unpaired ‘t’ test. Results 250 out of 269 women completed the study. Incidence of PPH (> 500 ml) was 11.2%. The estimated blood loss correlated well with the hemoglobin and hematocrit changes postpartum. Conclusion Standardized visual method (fixed container and mops) with trained observer improves the accuracy of estimation. This may assist clinicians to accurately estimate blood loss thus preventing hemorrhage related complications.

Blood loss estimation in epistaxis scenarios

Thirty-two members of staff from the Ear, Nose and Throat Department at Warrington General Hospital were asked to estimate blood loss in commonly encountered epistaxis scenarios. Results showed that once the measured volume was above 100 ml, visual estimation became grossly inaccurate. Comparison of medical and non-medical staff showed under-estimation was more marked in the non-medical group. Comparison of doctors versus nurses showed no difference in estimation, and no difference was found between grades of staff.