| Literature DB >> 34012854 |
Kai Guo1, Xin-Yu Wang2, Guo-Shuang Feng2, Jian Tian3, Yue-Ping Zeng4, Shu-Xuan Ma1, Xin Ni2,5.
Abstract
Entities:
Year: 2021 PMID: 34012854 PMCID: PMC8107874 DOI: 10.21037/tp-20-464
Source DB: PubMed Journal: Transl Pediatr ISSN: 2224-4336
The prevalent characteristics of blood transfusion during pediatric inpatient hospitalizations from 2016-2018
| Categories | Transfusion (%, n/n or n) | 95% CI | ||||
|---|---|---|---|---|---|---|
| 2016 | 2017 | 2018 | Total | |||
| Overall | 6.30% (60,328/957,703) | 6.17% (64,073/1,038,110) | 6.12% (66,158/1,080,283) | 6.19% (190,559/3,076,096) | 6.17%, 6.22% | |
| Sex | ||||||
| Male | 5.96% (35,790/600,756) | 5.85% (37,809/646,009) | 5.86% (39,180/668,404) | 5.89% (112,779/1,915,169) | 5.86%, 5.92% | |
| Female | 6.87% (24,538/356,947) | 6.70% (26,264/392,101) | 6.55% (26,978/411,879) | 6.70% (77,780/1,160,927) | 6.65%, 6.74% | |
| Age | ||||||
| 0–28 d | 10.83% (12,779/118,025) | 10.85% (12,716/117,238) | 10.00% (11,025/110,262) | 10.57% (36,520/345,525) | 10.47%, 10.67% | |
| 29 d – <1y | 7.02% (8,463/120,574) | 7.13% (8,662/121,413) | 7.05% (8,019/113,766) | 7.07% (25,144/355,753) | 6.98%, 7.15% | |
| 1–3 y | 4.83% (18,424/381,369) | 4.95% (21,087/425,894) | 5.01% (21,805/435,894) | 4.94% (61,316/1,242,372) | 4.90%, 4.97% | |
| 4–6 y | 5.94% (10,338/174,119) | 5.60% (10,453/186,724) | 5.92% (12,437/210,032) | 5.82% (33,228/570,875) | 5.76%, 5.88% | |
| 7–14 y | 6.31% (10,324/163,616) | 5.97% (11,155/186,841) | 6.10% (12,872/211,114) | 6.12% (34,351/561,571) | 6.05%, 6.18% | |
| Region | ||||||
| Northeast China | 2.34% (514/21,919) | 2.66% (642/24,097) | 2.22% (563/25,318) | 2.41% (1,719/71,334) | 2.30%, 2.52% | |
| North China | 11.44% (18,525/161,944) | 13.95% (23,788/170,484) | 14.39% (25,732/178,803) | 13.31% (68,045/511,231) | 13.22%, 13.40% | |
| East China | 5.01% (13,353/266,341) | 4.55% (13,532/297,382) | 4.11% (12,483/303,687) | 4.54% (39,368/867,410) | 4.49%, 4.58% | |
| South China | 4.52% (3,441/76,049) | 4.86% (4,154/85,549) | 5.66% (5,458/96,353) | 5.06% (13,053/257,951) | 4.98%, 5.14% | |
| Central China | 5.07% (10,487/207,016) | 4.88% (11,007/225,772) | 4.71% (11,382/241,832) | 4.87% (32,876/674,620) | 4.82%, 4.92% | |
| Northwest China | 3.78% (5,532/146,270) | 3.91% (5,996/153,211) | 3.87% (5,672/146,532) | 3.85% (17,190/446,013) | 3.80%, 3.91% | |
| Southwest China | 10.86% (8,486/78,164) | 6.07% (4,954/81,615) | 5.55% (4,868/87,758) | 7.40% (18,308/247,537) | 7.29%, 7.50% | |
| Rank* | ||||||
| No. 1 | Q21: 4,587 (62.67%) | Q21: 4,832 (63.07%) | Z51: 5,429 (15.17%) | Z51: 14,415 (15.71%) | – | |
| No. 2 | Z51: 4,166 (16.34%) | Z51: 4,820 (15.80%) | Q21: 4,921 (60.74%) | Q21: 14,340 (62.13%) | – | |
| No. 3 | D61: 3,324 (66.95%) | D61: 3,866 (69.49%) | D61: 3,693 (71.79%) | D61: 10,883 (69.44%) | – | |
| No. 4 | J18: 2,540 (1.69%) | C91: 2,651 (29.46%) | C91: 2,944 (31.72%) | C91: 7,942 (30.57%) | – | |
| No. 5 | C91: 2,347 (30.48%) | J18: 2,312 (1.44%) | J18: 2,594 (1.64%) | J18: 7,446 (1.59%) | – | |
| No. 6 | P23: 2,136 (8.13%) | P23: 1,922 (7.77%) | D56: 2,144 (85.32%) | D56: 5,583 (81.78%) | – | |
| No. 7 | P59: 1,715 (7.64%) | D56: 1,842 (81.83%) | P07: 1,545 (19.44%) | P23: 5,323 (7.68%) | – | |
| No. 8 | D56: 1,597 (77.41%) | P07: 1,598 (19.15%) | P23: 1,265 (6.91%) | P07: 4,472 (18.71%) | – | |
| No. 9 | P07: 1,329 (17.47%) | P59: 1,436 (6.36%) | J35: 1,253 (9.27%) | P59: 4,177 (6.32%) | – | |
| No. 10 | P22: 1,194 (30.43%) | K56: 1,295 (12.15%) | K56: 1,204 (13.04%) | P22: 3,388 (28.50%) | – | |
| No. 11 | P55: 1,119 (24.63%) | P22: 1,174 (30.23%) | D69: 1,052 (4.36%) | K56: 3,367 (11.25%) | – | |
| No. 12 | K40: 1,049 (3.10%) | D69: 1,091 (4.71%) | P59: 1,026 (4.87%) | J35: 3,016 (8.94%) | – | |
| No. 13 | P43: 1,030 (20.31%) | Q24: 1,076 (38.32%) | P22: 1,020 (24.99%) | D69: 3,003 (4.37%) | – | |
| No. 14 | K56: 868 (8.65%) | P43: 1,022 (19.65%) | K40: 1,015 (2.61%) | P43: 2,980 (19.59%) | – | |
| No. 15 | D69: 860 (4.01%) | P55: 1,010 (19.80%) | P43: 928 (18.80%) | P55: 2,911 (20.14%) | – | |
*, the disease spectrum of blood transfusion was described and ranked by calculating the total numbers of patients with the different types of diseases based on ICD-10 coding. ICD-10: Z51 (Other medical care), Q21 (Congenital malformations of cardiac septa), D61 (Other aplastic anemias), C91 (Lymphoid leukemia), J18 (Pneumonia, organism unspecified), D56 (Thalassemia), P23 (Congenital pneumonia), P07 (Disorders related to short gestation and low birth weight, not elsewhere classified), P59 (Neonatal jaundice from other and unspecified causes), P22 (Respiratory distress of newborn), K56 (Paralytic ileus and intestinal obstruction without hernia), J35 (Chronic diseases of tonsils and adenoids), D69 (Purpura and other hemorrhagic conditions), Q43 (Other congenital malformations of intestine), P55 (Hemolytic disease of fetus and newborn). K40 (Inguinal hernia), Q24 (Other congenital malformations of heart). Z51: Z51.0 (Radiotherapy session), Z51.1 (Chemotherapy session for neoplasm), Z51.2 (Other chemotherapy, Maintenance chemotherapy NOS), Z51.3 (Blood transfusion (without reported diagnosis)), Z51.4 (Preparatory care for subsequent treatment, not elsewhere classified), Z51.5 (Palliative care), Z51.6 (Desensitization to allergens), Z51.8 (Other specified medical care), Z51.9 (Medical care, unspecified). ICD, The Tenth Revision of International Statistical Classification of Diseases and Related Health Problems. CI, Confidence Interval.
Figure 1Association of prevalence of transfusions with length of stay in hospitalized children. R2=0.949; Y = −0.003209 + 0.01242 * X, F (1, 58) = 1,083.74, P<0.001.
Figure 2Population pyramid graph for the age-gender specific distribution of hospitalized children treated with blood transfusion.