| Literature DB >> 36196302 |
Jie Yang1,2, Guanglei Tian1, Jianchao Liu3, Huajuan Bai3, Shuxu Yang1,2, Mingzi Ran1,4, Hongyu Li1,2, Kui Ma1, Siming Yang1,2, Xiaobing Fu1.
Abstract
Background: Burn injuries place a heavy burden on the global healthcare system. However, there is still a lack of nationwide studies on the epidemiological characteristics of burn patients in mainland China. The present study aims to accurately analyze the clinical characteristics of burn patients by collecting data in mainland China from 2009 to 2018, which will provide effective strategies for healthcare systems and the government in mainland China.Entities:
Keywords: Burns; Clinical characteristics; Epidemiology; Mainland China; Multicentre
Year: 2022 PMID: 36196302 PMCID: PMC9519692 DOI: 10.1093/burnst/tkac039
Source DB: PubMed Journal: Burns Trauma ISSN: 2321-3868
Figure 1.Changes in the number and ratio of inpatients caused by burns from 2009 to 2018. (a) Number and ratio of burns inpatients showed a decreasing trend from 2009 to 2018. (b) Number and ratio of burns inpatients being represented graphically according to years distribution in male and female groups from 2009 to 2018
Figure 2.Changes in the ages of burn patients from 2009–2018. (a) Ratio and number of burns inpatients among all age groups. (b) Ratio of burns inpatients among all age groups changes from 2009 to 2018
Figure 3.The heatmap of burns inpatients in each province of mainland China. (a) The extent of red indicates the ratio of burns inpatients to total inpatients in each province of mainland China. (b) The extent of red indicates the number of burns inpatients in each province of mainland China. (c) The extent of red indicates the ratio of burns inpatients to local GDP in each province of mainland China. (The ratio increases as the red color deepens.) (d) The ratio of male and female inpatients caused by burns in each province of mainland China
Figure 4.The ratio of outcomes of male and female inpatients caused by burns. (a) The number of different outcomes of burns inpatients variations between male and female. (b) The ratio of male and female inpatients to total inpatients caused by burns variations among different outcomes. (c) The ratio of male inpatients variations among different outcomes. (d) The ratio of female inpatients variations among different outcomes
Figure 5.The ratio of outcomes of inpatients caused by burns among all age groups. (a) The index of number of burns inpatients in different age groups variations among different outcomes. (b) The index of ratio of burns inpatients with different outcomes to total burns inpatients variations among different age groups
Figure 6.The variations of inpatients caused by burns among all burn sites. (a) The ratio of different burns sites of burns inpatients. (b) The number of different burns sites of burns inpatients. (c) The number of burns inpatients with different burns variations among all outcomes. (d) The ratio of burns inpatients with different burns variations among all outcomes
Etiology of burn inpatients by gender, age, outcome and provinces
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| Gender, % | |||||||
| Total | 20.45 | 60.19 | 3.47 | 5.22 | 0.72 | 0.04 | 9.90 |
| Male | 22.08 | 54.43 | 4.30 | 7.45 | 0.88 | 0.04 | 10.82 |
| Female | 17.20 | 71.69 | 1.84 | 0.77 | 0.38 | 0.04 | 8.07 |
| OR (M to F) | 1.36 | 0.47 | 2.40 | 10.44 | 2.31 | 0.93 | 1.38 |
| 95% CI | 1.34–1.39 | 0.46–0.48 | 2.29–2.52 | 9.75–11.19 | 2.08–2.56 | 0.66–1.32 | 1.35–1.42 |
| Age, % | |||||||
| 0–10 | 4.89 | 88.68 | 0.43 | 0.57 | 0.39 | 0.00 | 5.04 |
| 10–20 | 23.62 | 54.20 | 3.29 | 3.99 | 1.71 | 0.07 | 13.12 |
| 20–30 | 27.46 | 42.33 | 6.10 | 8.88 | 0.75 | 0.07 | 14.41 |
| 30–40 | 30.76 | 38.85 | 6.05 | 9.98 | 0.89 | 0.07 | 13.40 |
| 40–50 | 31.23 | 38.37 | 6.41 | 9.80 | 1.06 | 0.04 | 13.08 |
| 50–60 | 31.47 | 41.79 | 5.50 | 8.71 | 0.87 | 0.04 | 11.62 |
| 60–70 | 33.30 | 47.57 | 3.06 | 4.48 | 0.51 | 0.10 | 10.98 |
| 70–80 | 34.04 | 52.56 | 1.59 | 1.10 | 0.45 | 0.19 | 10.07 |
| 80–90 | 36.36 | 52.39 | 1.01 | 0.40 | 0.37 | 0.08 | 9.39 |
| 90- | 31.52 | 56.22 | 2.39 | 0.51 | 0.00 | 0.17 | 9.20 |
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| Outcome | |||||||
| Improved | 31.53 | 39.20 | 34.49 | 27.48 | 29.95 | 29.29 | 37.57 |
| Cured | 66.16 | 60.07 | 64.16 | 71.78 | 66.37 | 70.00 | 60.72 |
| Death | 1.18 | 0.14 | 0.28 | 0.17 | 2.51 | 0.00 | 0.52 |
| Untreated | 0.29 | 0.23 | 0.54 | 0.23 | 0.17 | 0.00 | 0.44 |
| Ineffective | 0.24 | 0.04 | 0.09 | 0.03 | 0.13 | 0.71 | 0.07 |
| Others | 0.60 | 0.31 | 0.44 | 0.32 | 0.88 | 0.00 | 0.68 |
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| Ethnic group, % | |||||||
| Han | 21.11 | 58.56 | 3.39 | 5.63 | 0.64 | 0.04 | 10.63 |
| Minorities | 15.42 | 72.24 | 2.38 | 3.79 | 0.25 | 0.02 | 5.90 |
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| Provinces, % | |||||||
| Qinghai | 28.23 | 35.80 | 9.18 | 12.41 | 0.31 | 0.00 | 14.07 |
| Jiangsu | 17.35 | 61.37 | 3.10 | 6.10 | 0.57 | 0.00 | 11.50 |
| Hunan | 22.86 | 60.51 | 4.49 | 5.51 | 1.27 | 0.00 | 5.36 |
| Fujian | 19.76 | 64.98 | 3.53 | 4.58 | 1.05 | 0.04 | 6.06 |
| Yunnan | 20.89 | 41.93 | 7.33 | 4.53 | 0.83 | 0.00 | 24.49 |
| Guizhou | 12.00 | 37.33 | 32.00 | 6.67 | 2.67 | 1.33 | 8.00 |
| Zhejiang | 29.30 | 49.91 | 4.76 | 5.69 | 0.33 | 0.09 | 9.93 |
| Gansu | 9.16 | 67.33 | 2.21 | 1.76 | 0.34 | 0.01 | 19.19 |
| Beijing | 18.85 | 59.17 | 2.63 | 4.57 | 0.71 | 0.07 | 14.00 |
| Guangdong | 25.58 | 61.36 | 2.26 | 1.42 | 1.37 | 0.03 | 7.99 |
| Shaanxi | 21.63 | 50.68 | 5.17 | 13.94 | 0.90 | 0.11 | 7.57 |
| Chongqing | 26.48 | 50.93 | 5.64 | 12.14 | 2.00 | 0.17 | 2.65 |
| Xinjiang | 17.09 | 67.99 | 2.82 | 5.15 | 0.25 | 0.01 | 6.69 |
| Ningxia | 9.51 | 12.46 | 1.64 | 0.66 | 0.33 | 0.00 | 75.41 |
| Henan | 21.57 | 62.55 | 2.56 | 4.86 | 0.42 | 0.00 | 8.04 |
| Hebei | 19.55 | 65.20 | 2.15 | 2.56 | 0.63 | 0.01 | 9.91 |
| Tianjin | 17.00 | 65.80 | 4.00 | 4.00 | 0.70 | 0.00 | 8.50 |
| Shanxi | 23.71 | 54.41 | 1.43 | 6.87 | 0.59 | 0.00 | 13.00 |
| Xizang | 24.31 | 48.47 | 0.99 | 7.28 | 0.64 | 0.00 | 18.32 |
| Jiangxi | 17.64 | 52.50 | 9.40 | 7.69 | 1.89 | 0.12 | 10.74 |
| Shanghai | 25.76 | 54.77 | 5.68 | 7.74 | 1.34 | 0.07 | 4.64 |
| Hainan | 12.87 | 82.28 | 1.13 | 1.62 | 0.16 | 0.05 | 1.89 |
| Hubei | 8.90 | 57.35 | 3.95 | 2.19 | 0.50 | 0.00 | 27.11 |
| Jilin | 26.34 | 62.61 | 2.52 | 3.34 | 0.50 | 0.03 | 4.66 |
| Sichuan | 18.62 | 39.07 | 1.84 | 6.75 | 0.42 | 0.00 | 33.31 |
| Liaoning | 22.38 | 43.56 | 3.41 | 2.69 | 0.77 | 0.05 | 27.14 |
| Inner Mongolia | 18.46 | 71.35 | 2.70 | 5.43 | 0.71 | 0.03 | 1.31 |
| Shandong | 16.44 | 50.61 | 9.18 | 4.86 | 1.32 | 0.04 | 17.54 |
| Anhui | 10.70 | 26.58 | 2.72 | 2.88 | 1.07 | 0.00 | 56.05 |
| Heilongjiang | 27.83 | 62.68 | 3.67 | 1.38 | 0.80 | 0.03 | 3.62 |
| Guangxi | 27.85 | 50.23 | 5.28 | 9.10 | 1.86 | 0.26 | 5.42 |
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CI confidence interval, M male, F female
Figure 7.Total body surface area (TBSA) of inpatients caused by burns among all age groups. (a) The index of number of burns inpatients in different age groups variations among TBSA. (b) The ratio of burns inpatients in different age groups variations among TBSA
Figure 8.The ratio of inpatients caused by burns among all seasons. (a) The ratio of burns inpatients variations among seasons. (b) The ratio of male burns inpatients variations among seasons. (c) The ratio of female burns inpatients variations among seasons