| Literature DB >> 34210325 |
Farahnaz Joukar1, Tofigh Yaghubi Kalurazi2, Mahmoud Khoshsorour3, Sonbol Taramian2, Lida Mahfoozi4, Heydar Ali Balou5, Alireza Jafarinezhad6, Aydin Pourkazemi7, Ezat Hesni7, Mehrnaz Asgharnezhad8, Mohammad Shenagari9, Issa Jahanzad10, Mohammadreza Naghipour3, Saman Maroufizadeh11, Fariborz Mansour-Ghanaei12.
Abstract
BACKGROUND: The persistence of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) RNA in the body fluids of patients with the novel coronavirus disease 2019 (COVID-19) may increase the potential risk of viral transmission. There is still uncertainty on whether the recommended quarantine duration is sufficient to reduce the risk of transmission. This study aimed to investigate the persistence of SARS-CoV-2 RNA in the nasopharyngeal, blood, urine, and stool samples of patients with COVID-19.Entities:
Keywords: COVID-19; Persistence; RNA; RT-PCR; SARS-CoV-2
Mesh:
Substances:
Year: 2021 PMID: 34210325 PMCID: PMC8248752 DOI: 10.1186/s12985-021-01599-9
Source DB: PubMed Journal: Virol J ISSN: 1743-422X Impact factor: 4.099
Fig. 1Result of SARS-CoV-2 RNA RT-PCR on different sample, over time (A admission, D discharge, wk week, RT-PCR reverse transcription-polymerase chain Reaction
Patients clinical and demographic characteristics based on duration of SARS-CoV-2 RNA persistence in the nasopharynx
| All patient | Duration of SARS-CoV-2 RNA persistence in the nasopharynx | ||||
|---|---|---|---|---|---|
| ≤ 7 days after admission | 7–13 days after admission | ≥ 14 days after admission | |||
| Count | 100 | 46 (46%) | 43 (43%) | 11 (11%) | |
| Age, years | 0.878 | ||||
| < 50 | 39 | 17 (43.6%) | 18 (46.2%) | 4 (10.3%) | |
| ≥ 50 | 61 | 29 (47.5%) | 25 (41%) | 7 (11.5%) | |
| Gender | 0.479 | ||||
| Male | 60 | 27 (45%) | 28 (46.7%) | 5 (8.3%) | |
| Female | 40 | 19 (47.5%) | 15 (37.5%) | 6 (15%) | |
| Marital status | 0.730 | ||||
| Single | 16 | 7 (43.8%) | 8 (50%) | 1 (6.2%) | |
| Married | 84 | 39 (46.4%) | 35 (41.7%) | 10 (11.9%) | |
| Job | 0.598 | ||||
| No | 32 | 14 (43.8%) | 13 (40.6%) | 5 (15.6%) | |
| Yes | 68 | 32 (47.1%) | 30 (44.1%) | 6 (8.8%) | |
| Education | 0.441 | ||||
| Less than diploma | 63 | 26 (41.3%) | 29 (46%) | 8 (12.7%) | |
| Diploma and more | 37 | 20 (54.1%) | 14 (37.8%) | 3 (8.1%) | |
| Residency | 0.195 | ||||
| Urban | 85 | 40 (47.1%) | 34 (40%) | 11 (12.9%) | |
| Rural | 15 | 6 (40%) | 9 (60%) | 0 (0%) | |
| Socioeconomic status | 0.280 | ||||
| Low | 82 | 37 (45.1%) | 35 (42.7%) | 10 (12.2%) | |
| Moderate to high | 18 | 9 (50%) | 8 (44.4%) | 1 (0.06%) | |
| Underling disease | 0.945 | ||||
| No | 50 | 23 (46%) | 21 (42%) | 6 (12%) | |
| Yes | 50 | 23 (46%) | 22 (44%) | 5 (10%) | |
| O2 saturation | 93.84 ± 4.33 | 93.85 ± 4.03 | 93.88 ± 3.98 | 93.64 ± 6.80 | 0.986 |
| Hospital treatment plana | 0.477 | ||||
| Hydroxychloroquine | 5 | 2 (40%) | 2 (40%) | 1 (20%) | |
| Local treatment b | 62 | 32 (51.6%) | 25 (40.3%) | 5 (8.1%) | |
| Anti-viral c | 18 | 5 (27.8%) | 11 (61.1%) | 2 (11.1%) | |
| Interferon | 15 | 7 (46.7%) | 5 (33.3%) | 3 (20%) | |
| Dyspnea | 0.122 | ||||
| No | 44 | 18 (40.9%) | 18 (40.9%) | 8 (18.2%) | |
| Yes | 56 | 28 (50%) | 25 (44.6%) | 3 (5.4%) | |
| Sore throat | 0.586 | ||||
| No | 78 | 38 (48.7%) | 32 (41%) | 8 (10.3%) | |
| Yes | 22 | 8 (36.4%) | 11 (50%) | 3 (13.6%) | |
| Muscular pain | 0.152 | ||||
| No | 82 | 37 (45.1%) | 38 (46.3%) | 7 (8.5%) | |
| Yes | 18 | 9 (50%) | 5 (27.8%) | 4 (22.2%) | |
| Headache | 0.470 | ||||
| No | 76 | 34 (44.7%) | 32 (42.1%) | 10 (13.2%) | |
| Yes | 24 | 12 (50%) | 11 (45.8%) | 1 (4.2%) | |
| Diarrhea | 0.795 | ||||
| No | 84 | 38 (45.2%) | 36 (42.9%) | 10 (11.9%) | |
| Yes | 16 | 8 (50%) | 7 (43.8%) | 1 (6.2%) | |
| Fever | 0.991 | ||||
| No | 19 | 9 (47.4%) | 8 (42.1%) | 2 (10.5%) | |
| Yes | 81 | 37 (45.7%) | 35 (43.2%) | 9 (11.1%) | |
| Cough | 0.249 | ||||
| No | 30 | 14 (46.7%) | 15 (50%) | 1 (3.3%) | |
| Yes | 70 | 32 (45.7%) | 28 (40%) | 10 (14.3%) | |
| Weakness | 0.550 | ||||
| No | 93 | 43 (46.2%) | 39 (41.9%) | 11 (11.8%) | |
| Yes | 7 | 3 (42.9%) | 4 (57.1%) | 0 (0%) | |
| Nausea and vomiting | 0.145 | ||||
| No | 79 | 40 (50.6%) | 32 (40.5%) | 7 (8.9%) | |
| Yes | 21 | 6 (28.6%) | 11 (52.4%) | 4 (19%) | |
| Chills | 0.886 | ||||
| No | 21 | 9 (42.9%) | 10 (47.6%) | 2 (9.5%) | |
| Yes | 79 | 37 (46.8%) | 33 (41.8%) | 9 (11.4%) | |
| Inflammatory markers | |||||
| WBC, cell/mL | 7.41 ± 3.95 | 7.15 ± 3.42 | 7.96 ± 4.63 | 6.37 ± 3.05 | 0.415 |
| ESR, mm/h | 53.38 ± 28.11 | 50.78 ± 29.64 | 55.88 ± 26.42 | 54.45 ± 29.66 | 0.692 |
| CRP, mg/L | |||||
| < 12 | 24 | 11 (23.9%) | 11 (25.6%) | 2 (18.2%) | 0.473 |
| 12–20 | 16 | 6 (13%) | 9 (20.9%) | 4 (36.4%) | |
| > 20 | 57 | 29 (63%) | 23 (53.5%) | 5 (45.5%) | |
| Ct value(mean ± SD) | 29.67 ± 4.69 | 29.98 ± 4.45 | 29.33 ± 5.25 | 29.73 ± 3.47 | 0.809 |
| Nasopharyngeal viral load at admission, n (%) | 0.464 | ||||
| High (Ct < 20) | 1 | 0 (0%) | 1 (100%) | 0 (0%) | |
| Medium (Ct 20–29.9) | 47 | 19 (40.4%) | 22 (46.8%) | 6 (12.8%) | |
| Low (Ct ≥ 30) | 52 | 27 (51.9%) | 20 (38.5%) | 5 (9.6%) | |
Continuous variables are presented as mean ± SD
COVID-19 Coronavirus disease 2019, SARS-CoV-2 RNA sever acute respiratory syndrome coronavirous2, WBC Wight blood cells, ESR Erythrocyte sedimentation rate, CRP C-reactive protein, Ct value cycle threshold value
*Statistical significance based on the Chi-square or ANOVA test, Pearson correlation coefficient
aAll of the patients received corticosteroids
bIncluding diphenhydramine, acetaminophen, zinc, vitamin C, famotidine
cIncluding lopinavir, Sovodak (Sofosbuvir at 400 mg and daclatasvir at 60 mg, Remdesivir)
Fig. 2The duration for a positive SARS-CoV-2 RNA RT-PCR test to turn negative. a Nasopharyngeal RT-PCR (n = 100). b Blood RT-PCR (n = 24). c Stool RT-PCR test (n = 6). d Urine RT-PCR test (n = 7)
Fig. 3Frequency of COVID 19 gastrointestinal (GI) symptoms according to result of stool RT-PCR (Statistical significance based on Fisher's Exact test)