| Literature DB >> 33077738 |
Fengyi Hao1, Wilson Tam2, Xiaoyu Hu3, Wanqiu Tan4, Li Jiang1, Xiaojiang Jiang1, Ling Zhang1, Xinling Zhao1, Yiran Zou1, Yirong Hu1, Xi Luo5, Roger S McIntyre6, Travis Quek7, Bach Xuan Tran8,9, Zhisong Zhang10, Hai Quang Pham11,12, Cyrus S H Ho13,14, Roger C M Ho7,15.
Abstract
This study examined the neuropsychiatric sequelae of acutely ill patients with coronavirus disease 2019 (COVID-19) infection who received treatment in hospital isolation wards during the COVID-19 pandemic. Ten COVID-19 patients who received treatment in various hospitals in Chongqing, China; 10 age- and gender-matched psychiatric patients; and 10 healthy control participants residing in the same city were recruited. All participants completed a survey that collected information on demographic data, physical symptoms in the past 14 days and psychological parameters. Face-to-face interviews with COVID-19 patients were also performed using semi-structured questions. Among the COVID-19 patients, 40% had abnormal findings on the chest computed topography scan, 20% had dysosmia, 10% had dysgeusia, and 80% had repeated positivity on COVID-19 reverse-transcription polymerase chain reaction testing. COVID-19 and psychiatric patients were significantly more worried about their health than healthy controls (p = 0.019). A greater proportion of COVID-19 patients experienced impulsivity (p = 0.016) and insomnia (p = 0.039) than psychiatric patients and healthy controls. COVID-19 patients reported a higher psychological impact of the outbreak than psychiatric patients and healthy controls, with half of them having clinically significant symptoms of posttraumatic stress disorder. COVID-19 and psychiatric patients had higher levels of depression, anxiety and stress than healthy controls. Three themes emerged from the interviews with COVID-19 patients: (i) The emotions experienced by patients after COVID-19 infection (i.e., shock, fear, despair, hope, and boredom); (ii) the external factors that affected patients' mood (i.e., discrimination, medical expenses, care by healthcare workers); and (iii) coping and self-help behavior (i.e., distraction, problem-solving and online support). The future direction in COVID-19 management involves the development of a holistic inpatient service to promote immune and psychological resilience.Entities:
Mesh:
Year: 2020 PMID: 33077738 PMCID: PMC7570419 DOI: 10.1038/s41398-020-01039-2
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222
Demographic variables and health status of participants (n = 30).
| Demographic variable | COVID-19 patients ( | Psychiatric patients ( | Healthy subjects ( | |
|---|---|---|---|---|
| Male | 6 (60%) | 6 (60%) | 6 (60%) | |
| Female | 4 (40%) | 4 (40%) | 4 (40%) | |
| Age | 37.4 (12.6) | 37.4 (12.4) | 37 (11.9) | 0.996 |
| Primary | 0 (0%) | 0 (0%) | 0 (0%) | |
| Lower Secondary | 2 (20%) | 1 (10%) | 4 (40%) | |
| Upper Secondary | 3 (30%) | 4 (40%) | 4 (40%) | |
| Territory | 3 (30%) | 5 (50%) | 1 (10%) | |
| Undergraduate | 0 (0%) | 0 (0%) | 1 (10%) | |
| Postgraduate | 2 (20%) | 0 (0%) | 0 (0%) | |
| 1 | 0 (0%) | 0 (0%) | 2 (20%) | |
| 2 | 1 (10%) | 1 (10%) | 1 (10%) | |
| 3–5 | 8 (80%) | 8 (80%) | 7 (70%) | |
| 6 or above | 1 (10%) | 1 (10%) | 0 (0%) | |
| No symptoms | 4 (40%) | 7 (70%) | 10 (10%) | |
| At least one symptom | 6 (60%) | 3 (30%) | 0 (0%) | |
| Poor or worse | 1 (10%) | 1 (10%) | 0 (0%) | |
| Normal | 2 (20%) | 6 (60%) | 3 (30%) | |
| Healthy or better | 7 (70%) | 3 (30%) | 7 (70%) |
Psychological symptoms experienced by participants in last 7 days (n = 30).
| Psychological symptoms | COVID-19 patients ( | Psychiatric patients ( | Healthy subjects ( | |
|---|---|---|---|---|
| No | 4 (40%) | 8 (80%) | 6 (60%) | |
| Mild | 2 (20%) | 1 (10%) | 3 (30%) | |
| Moderate | 2 (20%) | 0 (0%) | 1 (10%) | |
| Serious | 1 (10%) | 1 (10%) | 0 (0%) | |
| Very serious | 1 (10%) | 0 (0%) | 0 (0%) | |
| No | 4 (40%) | 3 (30%) | 4 (40%) | |
| Mild | 1 (10%) | 5 (50%) | 4 (40%) | |
| Moderate | 3 (30%) | 1 (10%) | 2 (20%) | |
| Serious | 2 (20%) | 1 (10%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 4 (40%) | 3 (30%) | 4 (40%) | |
| Mild | 1 (10%) | 6 (60%) | 4 (40%) | |
| Moderate | 4 (40%) | 0 (0%) | 2 (20%) | |
| Serious | 1 (10%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 1 (10%) | 0 (0%) | |
| No | 3 (30%) | 5 (50%) | 5 (50%) | |
| Mild | 2 (20%) | 4 (40%) | 4 (40%) | |
| Moderate | 3 (30%) | 0 (0%) | 1 (10%) | |
| Serious | 2 (20%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 1 (10%) | 0 (0%) | |
| No | 5 (50%) | 6 (60%) | 5 (50%) | |
| Mild | 1 (10%) | 2 (20%) | 4 (40%) | |
| Moderate | 4 (40%) | 1 (10%) | 1 (10%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 7 (70%) | 9 (90%) | 10 (100%) | |
| Mild | 1 (10%) | 0 (0%) | 0 (0%) | |
| Moderate | 2 (20%) | 0 (0%) | 0 (00%) | |
| Serious | 0 (0%) | 1 (10%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 6 (60%) | 7 (70%) | 7 (70%) | |
| Mild | 3 (30%) | 1 (10%) | 2 (20%) | |
| Moderate | 1 (10%) | 1 (10%) | 1 (10%) | |
| Serious | 0 (0%) | 1 (10%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 3 (30%) | 5 (50%) | 3 (30%) | |
| Mild | 3 (30%) | 3 (30%) | 7 (70%) | |
| Moderate | 4 (40%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 2 (20%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 5 (50%) | 10 (100%) | 9 (90%) | |
| Mild | 3 (30%) | 0 (0%) | 1 (10%) | |
| Moderate | 1 (10%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 1 (10%) | 0 (0%) | 0 (0%) | |
| No | 9 (90%) | 10 (10%) | 10 (100%) | |
| Mild | 1 (10%) | 0 (0%) | 0 (0%) | |
| Moderate | 0 (0%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 10 (100%) | 8 (80%) | 10 (100%) | |
| Mild | 0 (0%) | 2 (20%) | 0 (0%) | |
| Moderate | 0 (0%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 5 (50%) | 8 (80%) | 10 (100%) | |
| Mild | 5 (50%) | 0 (0%) | 0 (0%) | |
| Moderate | 0 (0%) | 1 (10%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 1 (10%) | 0 (0%) | |
| No | 9 (90%) | 10 (100%) | 10 (100%) | |
| Mild | 1 (10%) | 0 (0%) | 0 (0%) | |
| Moderate | 0 (0%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 9 (90%) | 9 (90%) | 10 (100%) | |
| Mild | 1 (10%) | 1 (10%) | 0 (0%) | |
| Moderate | 0 (0%) | 0 (0%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| No | 9 (90%) | 9 (90%) | 10 (100%) | |
| Mild | 1 (10%) | 0 (0%) | 0 (0%) | |
| Moderate | 0 (0%) | 1 (10%) | 0 (0%) | |
| Serious | 0 (0%) | 0 (0%) | 0 (0%) | |
| Very serious | 0 (0%) | 0 (0%) | 0 (0%) |
Psychological impact of participants (n = 30).
| COVID-19 patients ( | Psychiatric patients ( | Healthy subjects ( | ||
|---|---|---|---|---|
| IES Total | 22.3 (16.3) | 18.4 (19.6) | 14.7 (7.9) | 0.551 |
| 0–23 | 5 (50%) | 8 (80%) | 8 (80%) | |
| 24 or more | 5 (50%) | 2 (20%) | 2 (20%) | |
| DASS-21 (anxiety) | 5.0 (4.3) | 6.4 (10.2) | 0.8 (1.4) | 0.149 |
| No (0–7) | 7 (70%) | 8 (80%) | 10 (10%) | |
| Mild (8–9) | 2 (20%) | 0 (0%) | 0 (0%) | |
| Moderate or above (10+) | 1 (10%) | 2 (20%) | 0 (0%) | |
| DASS-21 (depression) | 7.0 (6.0) | 7.8 (10.3) | 1.0 (1.4) | 0.075 |
| No (0–9) | 6 (60%) | 8 (80%) | 10 (100%) | |
| Mild (10–13) | 1 (10%) | 1 (10%) | 0 (0%) | |
| Moderate or above (14+) | 3 (30%) | 1 (10%) | 0 (0%) | |
| DASS-21 (stress) | 9.2 (5.8) | 7.8 (10.6) | 2.2 (2.7) | 0.087 |
| No (0–14) | 9 (90%) | 9 (90%) | 10 (100%) | |
| Mild (15–18) | 1 (10%) | 0 (0%) | 0 (0%) | |
| Moderate or above (19+) | 0 (0%) | 1 (10%) | 0 (0%) | |
| ISI | 8.0 (6.6) | 8.1 (8.7) | 3.4 (2.5) | 0.196 |
| 0–7 | 5 (50%) | 7 (70%) | 10 (100%) | |
| 8 or above | 5 (50%) | 3 (30%) | 0 (0%) |