| Literature DB >> 34429607 |
Jia Liu1, Jun-Fei Zhang2, Han-Ning Ma2, Ke Feng2, Zhong-Wei Chen2, Li-Shan Yang2, Bin Mei3, Jun-Jian Zhang4.
Abstract
OBJECTIVE: Information regarding the epidemiology and clinical features of mild to moderate patients caused by COVID-19 in Fangcang Hospital is scarce. Through a retrospective cohort study, the clinical characteristics of COVID-19 patients in Dongxihu Fangcang shelter hospitals were analyzed, and the factors that affected the disease progression of COVID-19 patients were explored.Entities:
Keywords: clinical characteristics; influence factors; makeshift (fangcang) hospital; mild to moderate
Year: 2021 PMID: 34429607 PMCID: PMC8378898 DOI: 10.2147/TCRM.S314734
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Admission and Exclusion Criteria in Fangcang Hospital
| Criteria | Specific Terms |
|---|---|
| Admission criteria | 1. A positive result confirmed by standard COVID-19 RT-PCR test; |
| 2. At rest, respiratory rate < 30 and blood oxygen saturation > 93%; | |
| 3. Age≥18 with self-care ability; | |
| 4. A negative result for influenza virus RT-PCR test. | |
| Exclusion criteria | 1. A negative result of standard COVID-19 RT-PCR test; |
| 2. At rest, respiratory rate ≥ 30 or blood oxygen saturation ≤93%; | |
| 3. Age<18; | |
| 4. A positive result for influenza virus RT-PCR test; | |
| 5. Without selfcare ability and ability of daily life activities; with severe acute and chronic complications who require hospitalization; | |
| 6. With mental disorder such as schizophrenia; | |
| 7. With serious psychological disorder such as suicidal tendencies; | |
| 8. With other infectious diseases such as active tuberculosis; | |
| 9. Expert assessment that it is not suitable for admission to hospital; |
Clinical Outcome Criteria for All COVID-19 Patients
| Outcome | Specific Terms |
|---|---|
| Deterioration* | 1. Symptoms persisted or worsened for more than 7 days |
| 2. At rest, respiratory rate ≥ 30 or blood oxygen saturation ≤93%. | |
| 3. Pulmonary imaging showed that the lesions progressed more than 50% within 48 hours. | |
| Discharge | 1. Temperature returned to normal for more than three days |
| 2. Respiratory symptoms improved significantly; | |
| 3. Pulmonary imaging showed that acute exudative lesions were significantly improved | |
| 4. With two consecutive negative results for RT-PCR tests for sputum or nasopharynx swabs samples (sampling time interval is at least 1 day). |
Note: *Patients with any one of the following conditions were defined as deterioration of covid-19.
Figure 1The flowchart of COVID-19 patients admitted to Fangcang shelter hospital.
Figure 2The discharge or transfer time of each patient in the Fangcang shelter hospital.
Figure 3Basic situation of 714 COVID-19 patients in Dongxihu Fangcang hospitals. (A) Gender distribution of COVID-19 patients; (B) Chronic medical illness; (C) Signs and symptoms on admission; (D) Treatment of COVID-19 patients.
Univariate and Multivariate Logistic Regression Analysis of Factors Related to the Deterioration of COVID-19 Patients
| Items | Variables | Non- Deteriorated Patients (N=388) | Deteriorated Patients (N=326) | Univariable OR | Multivariable OR | ||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | ||||
| Male | 140(43.89%) | 179(56.11%) | 2.157 | 1.597to2.194* | 6.321 | 4.063to9.833* | |
| Female | 248(62.78%) | 147(37.22%) | 1 | 1 | |||
| ≥50 y | 205(57.75%) | 150(42.25%) | 2.688 | 1.984to3.642* | 3.235 | 2.245to4.661* | |
| <50 y | 183(50.97%) | 176(49.03%) | 1 | 1 | |||
| Yes | 63(44.06%) | 80(55.94%) | 1.678 | 1.160to2.427* | |||
| No | 325(56.92%) | 246(43.08%) | 1 | ||||
| Yes | 77 (37.38%) | 129(62.62%) | 2.645 | 1.894to3.693* | 2.285 | 1.269to4.112* | |
| No | 311(61.22%) | 197(38.78%) | 1 | 1 | |||
| Yes | 72(40.00%) | 108(60.00%) | 2.174 | 1.541to3.069* | |||
| No | 316(59.18%) | 218(40.82%) | 1 | ||||
| Yes | 53(42.40%) | 72 (57.60%) | 1.792 | 1.213to2.647* | 2.258 | 1.170to4.359* | |
| No | 335(56.88%) | 254(43.12%) | 1 | 1 | |||
| Yes | 59 (73.75%) | 21(26.25%) | 0.380 | 0.176to0.819* | 0.058 | 0.022to0.155* | |
| No | 329(51.89%) | 305(48.11%) | 1 | 1 | |||
| Yes | 294(49.58%) | 299(50.42%) | 3.541 | 2.241to5.593* | 3.053 | 1.691to5.512* | |
| No | 94(77.69%) | 27(22.31%) | 1 | 1 | |||
| Yes | 100(39.37%) | 154(60.63%) | 2.579 | 1.882to3.532* | |||
| No | 288(62.61%) | 172(37.39%) | 1 | ||||
| Yes | 115 (40.21%) | 171 (59.79%) | 2.619 | 1.925to3.563* | |||
| No | 273(63.79%) | 155(36.21%) | 1 | ||||
| Yes | 111(38.81%) | 175(61.19%) | 2.892 | 2.122to3.942* | 1.794 | 1.098to2.931* | |
| No | 277(64.72%) | 151(35.28%) | 1 | 1 | |||
| Yes | 135(46.23%) | 157(53.77%) | 1.741 | 1.288to2.353* | |||
| No | 153(47.52%) | 169(52.48%) | 1 | ||||
| Yes | 158(47.45%) | 175(52.55%) | 1.687 | 1.253to2.271* | |||
| No | 230(60.37%) | 151(39.63%) | 1 | ||||
| Yes | 123(45.72%) | 146 54.28%) | 1.748 | 1.287to2.372* | |||
| No | 265(59.55%) | 180(40.45%) | 1 | ||||
| Yes | 152(41.08%) | 218 (58.92%) | 3.134 | 2.304to4.264* | 5.188 | 3.413to7.887* | |
| No | 236(68.60%) | 108(31.40%) | 1 | 1 | |||
| Yes | 148 (42.41%) | 201 (57.59%) | 2.608 | 1.926to3.530* | |||
| No | 240(65.75%) | 125(34.25%) | 1 | ||||
| Yes | 126 (40.38%) | 186 (59.62%) | 2.763 | 2.036to3.749* | |||
| No | 262(65.17%) | 140(34.83%) | 1 | ||||
| Yes | 119 (47.98%) | 129 (52.02%) | 1.480 | 1.086to2.017* | |||
| No | 269(57.73%) | 197(42.27%) | 1 | ||||
| Yes | 197(42.46%) | 267(57.54%) | 4.388 | 3.107to6.196* | |||
| No | 191(76.40%) | 59(23.60%) | 1 | ||||
| Yes | 179(41.53%) | 252(58.47%) | 3.976 | 2.867to5.515* | |||
| No | 209(73.85%) | 74(26.15%) | 1 | ||||
Note: *For P<0.05 at univariate and multivariate analysis.
Figure 4Forest plot of factors related to the deterioration of COVID-19 patients.