Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts LOGIN
  • Users Online:67
  • Home
  • Print this page
  • Email this page


 
 Table of Contents  
ORIGINAL ARTICLE
Year : 2018  |  Volume : 3  |  Issue : 1  |  Page : 21-24

A retrospective study of transfusion practice: Blood crossmatch ordering in obstetrics


1 Department of Anaesthesia, Prince Sultan Military Medical City, Riyadh, KSA
2 Senior Specialist, Blood Bank Division, Prince Sultan Military Medical City, Riyadh, KSA

Date of Web Publication17-Aug-2018

Correspondence Address:
Sadaf Malik
Sulemaniyah, Riyadh
KSA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/SJL.SJL_10_17

Rights and Permissions
  Abstract 

Background: Parturient undergoing elective cesarian delivery (CD) in a busy tertiary care referral hospital often requires blood transfusions. The preoperative ordering for blood crossmatch frequently overshoots the actual need of transfusion.
Aims: The primary aim of this study was to audit the local blood ordering practice in obstetric anesthesia and compare with the international guidelines.
Materials and Methods: A retrospective analysis of patients who underwent elective CD over a period of 6 months was done. The data collected included patients' age, pretransfusion hemoglobin, timing of transfusion, number of units crossmatched, and number of units transfused. The crossmatch transfusion ratio (CTR), transfusion probability, and transfusion index were calculated from the data.
Results: A total of 425 patients underwent CD with mean age 33 (standard deviation 7). Seventy-seven (18%) of them were crossmatched with total 252 units. Thirty-one (7.3%) patients required transfusion and the number of units transfused was 79. CTR in our study was 3.2.
Conclusion: CTR for elective CD is higher than the recommended international quality indicator value. There is a need to develop institutional specific blood ordering schedule to bring improvement in transfusion practices.

Keywords: Crossmatch, cesarian delivery, transfusion


How to cite this article:
Malik S, Anwari JS, Alshahrani MM, Alotaibi RA. A retrospective study of transfusion practice: Blood crossmatch ordering in obstetrics. Saudi J Laparosc 2018;3:21-4

How to cite this URL:
Malik S, Anwari JS, Alshahrani MM, Alotaibi RA. A retrospective study of transfusion practice: Blood crossmatch ordering in obstetrics. Saudi J Laparosc [serial online] 2018 [cited 2018 Oct 18];3:21-4. Available from: http://www.saudijl.org/text.asp?2018/3/1/21/239211


  Introduction Top


Blood is a valuable resource and its efficient utilization is an important quality indicator of the modern health-care system.[1] There is over ordering of blood preoperatively for most of the surgical procedures generally and cesarian delivery (CD) especially. This leads to an increased workload on the transfusion services of the hospital, potential for exhaustion of blood bank resources, and increase financial burden. The introduction of transfusion guidelines and blood order schedules based on evidence have resulted in increased efficiency and decrease the workload on transfusion services.[2] Formulation of strict guidelines for transfusion practices can improve the appropriate use of precious resource. British society of hematology has suggested guidelines based on crossmatch transfusion ratio (CTR) to assess the quality of transfusion practice. It suggests that CTR should not be more than 2:1, meaning that at least half of the requested crossmatch blood should be transfused.[3] Transfusion probability (%T) and transfusion index (TI) are also calculated to assess the crossmatch ordering practice. The main aim of this study is to audit the blood utilization in elective CD.


  Materials and Methods Top


The record of patients who underwent elective cesarian section from October 2016 to March 2017 was collected from the IT department of Prince Sultan Military Medical City, Riyadh, KSA. The corresponding data of crossmatch and transfusion for these patients were obtained from the blood bank record. The data included the age of the patient, number of units crossmatched, number of units transfused, time of transfusion, and the indication for section. The following indices were calculated:

  1. CTR = Number of units crossmatched ÷ Number of units Transfused


  2. CTR of <2 indicates a considerable requirement of blood transfusion during surgery. It should be ideally <2.

  3. %T = (Number of patients Transfused ÷ Number of patients crossmatched) ×100


  4. Any value above 50% is considered adequate.

  5. TI = Number of units transfused ÷ Number of patients crossmatched.


The average number of units used per patient crossmatch is indicated by the TI. A value >0.5 is considered indicative of significant blood utilization.


  Results Top


A total of 425 patients underwent elective CD in 6 months. The mean age of patients was 33 years (standard deviation 5.8). Of 425 patients, 77 (18%) had been crossmatched, and the total number of cross-matched units was 252. Of 77 patients that were crossmatched, 46 did not require transfusion. The number of patients that were transfused was 31, and the total number of transfused units was 79 [Figure 1]. The percentage of patients that required transfusion perioperatively during elective CD was 7.3%. The CTR for elective cesarean section was 3.2. %T as calculated from the data was 40%. Moreover, TI was 1.02 [Table 1].
Figure 1: Circles showing total population and those who crossmatched and received transfusion

Click here to view
Table 1: (a) Number of patients and units crossmatched and transfused, (b) indices calculated from the data

Click here to view



  Discussion Top


Intraoperative blood loss is over assumed and has resulted in over-ordering of blood in the perioperative setting since a long time.[4] The decision to transfuse is frequently based on subjective assessment in a particular procedure and the need to develop or follow a blood order and/or transfusion policy is frequently overlooked.[5] This trend is more commonly observed in developing countries where the data have shown gross over ordering of blood in 40%–70% of transfusions.[6],[7] CTR is one of the tools to evaluate the efficiency of transfusion policy and was first described by Boral and Henry.[8] The overall appropriate ratio is considered to be 2 or lower, and this can be used to benchmark clinical practice. This means that at least 33% of the cross-matched blood should have been needed for transfusion. Any figure greater than this is not justified.[8]

In our study, 11% of all the patients booked for elective cesarian section had been cross-matched, though only 7.3% required transfusion. In this audit, the CTR for elective cesarian section is 3.1, which indicates that only 25% of the cross-matched blood is transfused. It seems that the major reason for this high blood crossmatching order is the lack of any institution-specific blood ordering policy and the fear of unavailability of blood in any urgent situation.

The probability of blood transfusion (%T) is another index to assess the appropriateness of blood transfusion. This was described for the first time by Mead et al. in 1980.[10] Value of >50% is desirable and indicates considerable requirement of blood.

Transfusion probability (%T) in our study for elective CD was 40%. This is less than the recommended international guidelines. This shows that only 40% of the patients that were cross-matched required transfusion.

Another criterion is the TI, which is the average number of units used per patient, the values >0.5 are considered an indicator of quality of blood utilization service. For procedures that require <0.5 units of blood, crossmatching preoperatively is not necessary.[1],[9],[10] The TI in our study is 1.

Preoperative Anaemia was the main indication for transfusion. 58% of transfusion (18 out of 31 patients transfused) was done in patients with preoperative anemia. The mean hemoglobin (Hb) preoperatively in these patients was 8.7 g/dL. For 40 units crossmatched, 36 were transfused in these patients. However, the highest number of crossmatch was done for patients with placenta previa. For the eight patients diagnosed with placenta previa, 57 units of blood were crossmatched, out of which 35 were transfused [Figure 2].
Figure 2: Comparison of crossmatch and transfusion pattern between two subgroups of patients

Click here to view


Hospitals worldwide have adopted a maximum surgical blood order schedule (MSBOS) for reducing unnecessary preoperative crossmatching. This results in establishing uniformity in practice and a tool to assess the blood ordering practice and its effective utilization. A MSBOS provides guidelines by recommending the number of units of blood to be cross-matched preoperatively for the most commonly done elective procedures.[11] This eventually results in a reduction in the number of preoperative crossmatch requests.[12] Implementation of MSBOS has almost universally resulted in substantial reduction of direct and indirect costs.[13] It has been proven to be one of the most effective means for reduction of blood wastage by outdating and better use of the available blood resources. It is an important quality indicator of blood ordering practice and audits done worldwide has shown remarkable reduction in workload and cost on the blood transfusion services by the implementation of institution-specific MSBOS.

However, it is important to consider that implementation of such a blood ordering policy may not be possible without the cooperation and mutual understanding of all entities involved, such as anesthetist, surgeons, hematologists, and blood bank service. Anesthetists and surgeons need to be sure about the availability of blood in time if MSBOS are implemented. The blood bank service and hematologist should take the clinicians in confidence that in case of any emergency, blood can be available within 5–7 min after undergoing a rapid spin crossmatch. The distance of the ward and the operating theaters from the blood bank unit is also a limiting factor to the effective implementation of MSBOS.

The policy of “group, save, and screen” is adopted worldwide. Many surgical procedures are performed by just ordering “group, save, and screen” instead of crossmatching. This has shown to be safe and an effective way to reduce unnecessary perioperative crossmatching of blood.[9],[14] In some institutions, even the rapid spin and crossmatch is not done if the antibody screen is negative. ABO and Rh compatible blood is cross-matched electronically from the blood bank record and can be immediately released for transfusion.

Surgical blood order equation (SBOE) is and advanced evolution of MSBOS. SBOE is formulated by incorporating other factors such as pre- and post-operative Hb and perioperative blood loss. This results in better and accurate assessment of blood loss and the subsequent need of blood transfusion for specific procedures. Multiple studies have shown SBOE to be more effective than MSBOS in reducing the wastage of blood and improving the quality of transfusion services.[15],[16] A transfusion rate of 1%–14% is suggested by review of literature for blood transfusion following cesarean section.[17] The percentage of patients transfused for elective CD in our data is 7.3%.

The perioperative ordering of crossmatch is based on subjective assessment of anticipated blood loss and physicians own transfusion experiences. It is not dependent on evidence-based guidelines, and hence results in nonuniform trend of blood ordering practice for similar procedures and indications. A major percentage of crossmatch and subsequent transfusion was done in obstetric hemorrhage cases. Being a busy tertiary care referral center dealing with a large number of complicated obstetric deliveries, there is a strong need to develop a clear local protocol based on institutional audits. These protocols should be updated regularly. The protocols and guidelines should also be practiced in skill drills and should be clearly mentioned and displayed in the relevant areas and to all involved entities including the obstetricians, anesthetists, paramedics, and blood bank service personal. This would lead to decrease workload and decrease level of stress and hence improve in service.[18]

This study provides a baseline as a benchmark, which can later be compared with future transfusion audits. We recommend conducting a multidisciplinary study involving other surgical specialties as well that can help to formulate the MSBOS. Once an appropriate model is implemented, the compliance with the international guidelines and recommendations can be observed.

Blood ordering and transfusion audit is an important measure that needs to be carried out regularly in all transfusion services and hospitals. These audits serve as a surveillance tool which can help in formulating guidelines. This was demonstrated in the Clarke et al. study, in which blood audits were used to implement evidence-based crossmatching protocols, which resulted in significant savings in time, workforce, and money.[19]

This study should be considered a first step toward the making of an MSBOS and defining criteria for crossmatching patients with high risk for bleeding as listed earlier from identified risk factors for transfusion. The short duration of this study is significant limitations as it might not reflect long-term practice and trends. It is recommended that MBOS should be revised yearly on the basis of the latest available data to keep it responsive to the changing needs of the hospital.


  Conclusion Top


CTR in our study for elective CD is 3.2 which is higher than the international recommended quality indicator. Transfusion probability is 40% which is less than the recommended international guidelines. Transfusion index in our study is 1.02, which is an indicator of blood utilization quality. However, this can be a false predictor due to the high number of blood utilized by a small group of patients with placenta previa. The data overall indicates a strong need to develop institutional specific blood ordering schedule to improve the quality of blood utilization.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

 
  References Top

1.
Pozo AE, Pérez-Rosales MD, Almeida-Neto CD, Remesar MC, Cortes AD, Delgado RB, et al. A comprehensive protocol to evaluate the use of blood and its components in Latin America and the Caribbean. Rev Panam Salud Publica 2015;37:435-41.  Back to cited text no. 1
    
2.
Alavi-Moghaddam M, Bardeh M, Alimohammadi H, Emami H, Hosseini-Zijoud SM. Blood transfusion practice before and after implementation of type and screen protocol in emergency department of a university affiliated hospital in Iran. Emerg Med Int 2014;2014:316463.  Back to cited text no. 2
    
3.
Krier DB, Richards FE. Transfusion-to-cross-match community comparison data. Am J Med Qual 1996;11:68-72.  Back to cited text no. 3
    
4.
Friedman BA, Oberman HA, Chadwick AR, Kingdon KI. The maximum surgical blood order schedule and surgical blood use in the United States. Transfusion 1976;16:380-7.  Back to cited text no. 4
    
5.
Juma T, Baraka A, Abu-Lisan M, Asfar SK. Blood ordering habits for elective surgery: Time for change. J R Soc Med 1990;83:368-70.  Back to cited text no. 5
    
6.
Waqas M, Shamim MS, Ujjan B, Bakhshi SK. Prospective validation of a blood ordering protocol for elective spine arthrodesis and its impact on cost reduction. Surg Neurol Int 2014;5:S362-4.  Back to cited text no. 6
    
7.
Hardy NM, Bolen FH, Shatney CH. Maximum surgical blood order schedule reduces hospital costs. Am Surg 1987;53:223-5.  Back to cited text no. 7
    
8.
Boral LI, Henry JB. The type and screen: A safe alternative and supplement in selected surgical procedures. Transfusion 1977;17:163-8.  Back to cited text no. 8
    
9.
Frank SM, Oleyar MJ, Ness PM, Tobian AR. Reducing Unnecessary Preoperative Blood Orders and Costs by Implementing an Updated Institution-specific Maximum Surgical Blood Order Schedule and a Remote Electronic Blood Release System. Anesthesiology 2014;121:501-9.  Back to cited text no. 9
    
10.
Mead JH, Anthony CD, Saltier M. Hemotherapv in elective surgery. An incident report, review of literature and alternative for guideline appraisal. Am J Clin Pathol 1980;74:221-7.  Back to cited text no. 10
    
11.
Friedman BA. An analysis of surgical blood use in United States hospital with application of the maximum blood surgical blood order schedule. Transfusion 1979;19:268-78.  Back to cited text no. 11
    
12.
Smallwood JA. Use of blood in electivc general surgery: An area of wasted resources. Br Med J 1983;286:868-70.  Back to cited text no. 12
    
13.
Napier JA, Biffin AH, Lay D. Efficiency of use of blood for surgery in South and Mid Wales. Br Med J (Clin Res Ed) 1985;291:799-801.  Back to cited text no. 13
    
14.
Mintz PD, Lauenstein K, Hume J, Henry B. Expected hemotherapy in elective surgery. JAMA 1987;239:623-5.  Back to cited text no. 14
    
15.
Nuttall GA, Horlocker TT, Santrach PJ, Oliver WC Jr., Dekutoski MB, Bryant S, et al. Use of the surgical blood order equation in spinal instrumentation and fusion surgery. Spine (Phila Pa 1976) 2000;25:602-5.  Back to cited text no. 15
    
16.
Sakurai Y, Okada C. Comparison by simulation of the efficiency of surgical blood order equation (SBOE) with that of maximum surgical blood order schedule (MSBOS). Masui 2001;50:69-75.  Back to cited text no. 16
    
17.
Rebarber A, Lonser R, Jackson S, Copel JA, Sipes S. The safety of intra-operative autologous blood collection and auto transfusion during caesarean section. Am J Obstet Gynecol 1998;179:715-20.  Back to cited text no. 17
    
18.
Royal college of Obstetricians and Gynaecologists. Blood Transfusion in Obstetrics. Green Top Guidelines 47; May, 2015. Available from: https://www.rcog.org.uk/globalassets/documents/guidelines/gtg-47. [Last accessed on 2018 Jan 15]  Back to cited text no. 18
    
19.
Clarke A, O'Malley M, Hegarty JF, Freeman BJ. Blood audit evidenced-based cross-match requesting for lumbar spine surgery. Spine (Phila Pa 1976) 2006;31:E373-5.  Back to cited text no. 19
    


    Figures

  [Figure 1], [Figure 2]
 
 
    Tables

  [Table 1]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
Abstract
Introduction
Materials and Me...
Results
Discussion
Conclusion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed199    
    Printed36    
    Emailed0    
    PDF Downloaded18    
    Comments [Add]    

Recommend this journal


[TAG2]
[TAG3]
[TAG4]