Investigation and analysis of clinical blood transfusion situations

doi:10.16138/j.1673-6087.2024.02.06

Abstract

Abstract:

Objective To provide evidence-based medical basis for evaluation of blood transfusion in patients with different diseases and achieve precise blood transfusion through the investigation and analysis of blood transfusion situation in several hospitals. Methods The data of blood transfusion patient in two general tertiary hospitals and three general secondary hospitals in Shanghai using the largest amount of blood from July to December 2021 was collected, and the information including age, blood type, department, disease, blood transfusion volume and blood transfusion components of patients were analyzed. Results The total red blood cell infusion was 37 813 U [median is 2(2, 4) U]in tertiary hospitals and 45 577 U [median is 4(2, 8) U] in secondary hospitals, and the difference was statistically significant (P<0.05). The total plasma infusion was 33 689 U [median was 2(0, 4) U] in tertiary hospitals and 26 822 U [median was 0(0, 4)U] in secondary hospitals., and there was significant difference between the two groups (P<0.05). The total platelet transfusion volume was 3 586 U [median was 0(0, 0) U] in the tertiary hospitals and 23 414 U [median was 0(0, 5) U] in the secondary hospitals, and the results showed statistically different (P<0.05). The per capita infusion volume of suspended red blood cells and platelets was the highest in patients with hematology diseases(respectively 6(2,11) U and 5(1, 9) U), while the per capita plasma infusion volume was the highest in patients with neurological diseases [4(0, 32) U]. Conclusions There is large variation in the transfusion volumes of different types of blood components in different departments in hospitals of different size. Each hospital should make blood transfusion evaluation plan based on evidence-based medicine according to its own conditions and the patient disease, so as to achieve precise blood transfusion and ensure scientific and rational use of blood in clinic.

Key words: Blood transfusion volume per capita, Single disease, Precise blood transfusion

CLC Number:

R457.1

ZHANG Yi, XIE Dongfu, LIU Dongsheng, ZHENG Yi, YANG Jianhao, SUN Jie. Investigation and analysis of clinical blood transfusion situations[J]. Journal of Internal Medicine Concepts & Practice, 2024, 19(02): 121-125.

Figures/Tables 4

Table 1

Table 2

Table 3

Table 4

Transfusion volume of different blood components in patients with different departments [n/M(Q1,Q3),U]

病区	科室	悬浮红细胞		冰冻血浆		单采血小板
病区	科室	总量	人均	总量	人均	总量	人均
内科	呼吸科（n=263）	854.0	2(1,4)	860.0	0(0,2)	132.0	0(0,0)
	感染科（n=238）	602.0	2(0,4)	880.5	0(0,4)^1）	272.0	1(0,2)
	风湿科（n=33）	75.0	2(0,4)	166.5	1(0,5)	14.0	0(0,0)
	消化科（n=1 170）	4 422.0	3(1,6)	9 266.0	3(0,10)	207.0	0(0,0)
	肿瘤科（n=481）	2 127.0	3(2,6)	1 426.0	2(0,4)	286.0	0(0,0)
	内分泌科（n=33）	129.0	3(2,7)	41.0	0(0,2)	19.0	0(0,0)
	神经内科（n=82）	217.0	2(0,4)	954.0	4(0,32)	1.0	0(0,0)
	肾内科（n=209）	611.0	2(2,4)	321.0	0(0,1)	37.0	0(0,0)
	心内科（n=193）	646.0	2(2,4)	329.0	0(0,2)	42.0	0(0,0)
	血液科（n=3 954）	32 273.0	6(2,11)	5 998.0	0(0,0)	23 988.0	5(1,9)
	急诊、ICU（n=1 564）	6 392.0	2(2,4)	5 520.0	0(0,4)	468.0	0(0,0)
	其他内科(老年、特需、全科)（n=316）	1 084.5	2(1,4)	707.5	0(0,2)	243.0	0(0,0)
	合计（n=8 536）	49 432.5	4(2,8)	26 469.5	0(0,2)	25 709.0	1(0,4)
外科	普外科（n=2 868）	14 400.0	4(2,6)¹⁾	14 868.0	2(0,5)	839.0	0(0,0)
	骨科（n=1 061）	3 770.0	2(2,4)	2 388.0	2(0,2)	32.0	0(0,0)
	泌尿外科（n=277）	1 115.0	3(2,4)	823.0	2(0,3)	40.0	0(0,0)
	胸外科（n=2 203）	9 858.0	4(2,5)¹⁾	10 325.0	2(1,5)	177.0	0(0,0)
	神经外科（n=310）	1 107.5	3(2,4)	1 478.0	2(1,7.25)	57.0	0(0,0)
	其他外科(血管外科、烧伤科)（n=377）	1 591.0	3(2,8)	3 115.0	3(0,10)	27.0	0(0,0)
	合计（n=7 096）	31 841.5	3(2,5)	32 997.0	2(1,4)	1 172.0	0(0,0)
妇产科	产科（n=111）	329.0	2(2,4)	123.0	0(0,2)	38.0	0(0,0)
	妇科（n=487）	1 737.0	3(2,4)	920.5	1(0,2)	47.0	0(0,0)
	合计（n=598）	2 066.0	3(2,4)	1 043.5	1(0,2)	85.0	0(0,0)
儿科	儿科（n=24）	50.0	1(0,2)	1.0	0(0,0)¹⁾	34.0	1(0,1)

Table 4

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血型	悬浮红细胞		冰冻血浆		单采血小板		F	P
血型	总量	人均	总量	人均	总量	人均	F	P
A型(n=5 121)	24 257	3(2, 6)	19 425	2(0, 4)	7 837	0(0, 0)	3 085	<0.05
B型(n=4 746)	27 147	4(2, 7)	17 095	0(0, 4)	9 460	0(0, 2)	2 472	<0.05
O型(n=4 917)	25 017	3(2, 6)	18 562	2(0, 4)	8 194	0(0, 0)	2 895	<0.05
AB型(n=1 470)	6 969	3(2, 6)	5 429	2(0, 4)	1 509	0(0, 0)	1 093	<0.05