| Literature DB >> 35962440 |
Chuan-Cai Xu1, Jia-Li Xu1, Xiao-Fei Wang1, Shen Meng1, Sheng Ye1, Xiao-Miao Tang1, Wei Lei2.
Abstract
BACKGROUND: To investigate whether prone position can reduce the risk of patients with mild or moderate COVID-19 who progress to severe or critical illness.Entities:
Keywords: COVID-19; Mild; Moderate; Progression; Prone position; Prone position ventilation
Mesh:
Year: 2022 PMID: 35962440 PMCID: PMC9372953 DOI: 10.1186/s40001-022-00776-y
Source DB: PubMed Journal: Eur J Med Res ISSN: 0949-2321 Impact factor: 4.981
Fig. 1Flowchart of patients enrollment
Fig. 2Influence of prone position on SpO2. SpO2, saturation of pulse oximetry; Pre-PP, before prone position; Post-PP, after prone position; D1, D2, D3, D4, the first 4 days after admission. There was significant difference in SpO2 between the first 4 days after admission and the day of discharge. *, compared with D1 Pre-PP, P < 0.05, On the first day of admission, the level of SpO2 in the prone position was higher after 5 min and 30 min than before prone position.
Fig. 3Influence of prone position on respiratory rate, heart rate and blood pressure. Pre-PP, before prone position; Post-PP, after prone position; D1, D2, D3, D4, the first 4 days after admission; RR, respiratory rate; HR, heart rate; SBP, systolic blood pressure; DBP, diastolic blood pressure. There were no statistically significant differences in RR, HR, SBP and DBP between patients in the first 4 days after admission and on the day of discharge (F = 0.641, 0.573, 0.671 and 0.386, respectively, P > 0.05).
The progression and mortality of mild or moderate patients in control group
| Literature | Country | Time of case occurrence | Number of mild or moderate | Number of progression | Progression rate (%) | Number of deaths | Mortality (%) |
|---|---|---|---|---|---|---|---|
| Wang et al. [ | Tianjin, China | January to March 2020 | 95 | 22 | 23.2 | 0 | 0 |
| Higuchi et al. [ | Japan | February to June 2020 | 37 | 0 | 0 | 0 | 0 |
| Iijima et al. [ | Japan | April to May 2020 | 55 | 6 | 10.9 | NR | NR |
| Cheng et al. [ | Hubei, China | January to March 2020 | 456 | 205 | 45.0 | 46 | 10.1 |
| Wang et al. [ | Hubei, China | February to April 2020 | 1758 | 474 | 27.0 | 9 | 0.5 |
| Long et al. [ | Hubei, China | January to February 2020 | 253 | 48 | 19.0 | 5 | 2.0 |
| Jiang et al. [ | Hubei, China | January to April 2020 | 213 | 35 | 16.4 | NR | NR |
| Zhang et al. [ | Guangdong, China | January to February 2020 | 12 | 1 | 8.3 | 0 | 0 |
| Li et al. [ | Anhui, China | January to February 2020 | 65 | 24 | 36.9 | 0 | 0 |
| Liang et al. [ | Guangdong, China | January to February 2020 | 204 | 28 | 13.7 | 0 | 0 |
| Zhang et al. [ | Sichuan, China | 2020 | 98 | 31 | 31.6 | 0 | 0 |
| Lang et al. [ | Sichuan, China | January to February 2020 | 17 | 5 | 29.4 | 0 | 0 |
| Liu et al. [ | Hubei, China | January to February 2020 | 62 | 10 | 16.1 | 6 | 9.7 |
| Duan et al. [ | Chongqing, China | January to February 2020 | 348 | 20 | 5.7 | NR | NR |
| Lv et al. [ | Beijing, China | January to February 2020 | 64 | 13 | 20.3 | 0 | 0 |
| Luo et al. [ | Jiangsu, China | January to February 2020 | 597 | 36 | 6.0 | 0 | 0 |
| Zhao et al. [ | Hubei, China | February 2020 | 172 | 60 | 34.9 | NR | NR |
| Wang et al. [ | Shenzhen, China | January to February 2020 | 323 | 70 | 21.7 | 3 | 0.9 |
| Lu et al. [ | Shanghai, China | January to February 2020 | 44 | 18 | 40.9 | 0 | 0 |
NR, not recorded
Effect of prone position on progression from mild or moderate cases to severe or critical cases
| Control group | Prone position group | χ2 value | ||
|---|---|---|---|---|
| Mild or moderate cases | 3767 | 34 | 9.962 | 0.002 |
| Severe or critical cases | 1106 | 0 | ||
| Total | 4873 | 34 | ||
| Progression rate | 22.7% | 0% |
Effect of prone position on mortality between prone position group and control group
| Control group | Prone position group | χ2 value | ||
|---|---|---|---|---|
| Cases | 4085 | 34 | 1.154 | 0.283 |
| Deaths | 69 | 0 | ||
| Mortality | 1.7% | 0% |