| Literature DB >> 32566574 |
Shuanshuan Xie1, Guoliang Zhang1, Hong Yu2, Jin Wang3, Sheng Wang4, Guangyu Tang5, Changfeng Guo6, Jiyu Li7, Songhua Wei8, Changhui Wang1, Huanlong Qin9.
Abstract
BACKGROUND: A recent cluster of pneumonia cases in Wuhan (China) is known to be caused by a novel beta-coronavirus named the corona virus disease 2019 (COVID-19) and can be spread through human-to-human transmission.Entities:
Keywords: Coronavirus infections; computed tomographic findings; imported; incubation period; pneumonia; symptoms
Year: 2020 PMID: 32566574 PMCID: PMC7290637 DOI: 10.21037/atm-20-2119
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Figure 1Flow chart of patient selection for the study.
Figure 2Age and residence distributions of the present study. (A,B) Bar charts and line chart demonstrating the number of cases (y-axis) and age distribution (x-axis) of confirmed and suspected cases. (C) Pie charts demonstrating the etiology of residence based on retrospective diagnosis in the confirmed group.
Demographics, baseline characteristics and clinical outcomes of 105 patients with imported confirmed and suspected COVID-19 infection in north Shanghai, China
| Characteristics | All patients (n=105) | Confirmed (n=21) | Suspected (n=84) | P value |
|---|---|---|---|---|
| Age, years, mean ± SE | 44.09±18.08 | 54.00±15.43 | 41.61±17.92 | 0.0458 |
| Sex, n (%) | ||||
| Female | 51 (48.6) | 8 (38.1) | 43 (51.2) | 0.0704 |
| Male | 54 (51.4) | 13 (61.9) | 41 (48.8) | |
| Domicile, n (%) | ||||
| Shanghai | 58 (55.2) | 13 (61.9) | 45 (53.6) | 0.1242 |
| Hubei | 13 (12.4) | 4 (19.0) | 9 (10.7) | |
| Others | 34 (32.4) | 4 (19.0) | 30 (35.7) | |
| Occupation, n (%) | ||||
| Agricultural worker | 11 (10.5) | 1 (4.8) | 10 (11.9) | 0.0096 |
| Self-employed | 24 (22.9) | 2 (9.5) | 22 (26.2) | |
| ordinary employee | 34 (32.4) | 10 (47.6) | 24 (28.6) | |
| Retired | 36 (34.3) | 8 (38.1) | 28 (33.3) | |
| Exposure, n (%) | ||||
| Recently been to Wuhan | 24 (22.9) | 9 (42.9) | 15 (17.9) | 0.1750 |
| Contacted with people from Wuhan | 3 (2.9) | 3 (14.3) | 0 (0) | |
| Recently been to supermarkets and groceries | 34 (32.4) | 6 (28.6) | 29 (34.5) | |
| Recently been to travel | 43 (41.0) | 3 (14.3) | 40 (47.6) | |
| Current smoking, n (%) | 46 (43.8) | 11 (52.4) | 35 (41.7) | 0.1488 |
| Any comorbidity, n (%) | ||||
| Diabetes | 14 (13.3) | 2 (9.5) | 12 (14.3) | 0.3813 |
| Hypertension | 10 (9.5) | 4 (19.0) | 6 (7.1) | 0.4791 |
| Cardiovascular disease | 9 (8.6) | 5 (23.8) | 4 (4.8) | 0.5101 |
| Chronic obstructive pulmonary disease | 7 (6.7) | 5 (23.8) | 2 (2.4) | 0.5289 |
| Malignancy | 1 (1.0) | 1 (4.8) | 0 (0) | 0.5099 |
| Chronic liver disease | 1 (1.0) | 1 (4.8) | 0 (0) | 0.5099 |
| Clinical outcome, n (%) | ||||
| Remained in hospital | 76 (72.4) | 20 (95.2) | 56 (66.7) | 0.1917 |
| Discharged | 29 (27.6) | 1 (4.8) | 28 (33.3) | |
| Died | 0 (0) | 0 (0) | 0 (0) |
Clinical characteristics and laboratory findings of 105 patients with imported confirmed and suspected COVID-19 infection in north Shanghai, China
| Characteristics | All patients (n=105) | Confirmed (n=21) | Suspected (n=84) | P value |
|---|---|---|---|---|
| Signs and symptoms at admission, n (%) | ||||
| Fever | 87 (82.9) | 19 (90.5) | 68 (80.9) | 0.3288 |
| Cough | 66 (62.9) | 11 (52.4) | 55 (65.5) | 0.1934 |
| Sputum production | 36 (34.3) | 2 (9.5) | 34 (40.5) | 0.0101 |
| Muscle Soreness | 7 (6.7) | 1 (4.8) | 6 (7.1) | 0.4453 |
| Weakness | 18 (17.1) | 4 (19.0) | 14 (16.7) | 0.3813 |
| Diarrhoea | 9 (8.6) | 1 (4.8) | 8 (9.5) | 0.4208 |
| Chest X-ray and CT findings, n (%) | ||||
| Bilateral or unilateral pneumonia | 89 (84.8) | 15 (71.4) | 74 (88.1) | 0.4569 |
| Multiple mottling and GGO | 17 (16.2) | 7 (33.3) | 10 (11.9) | 0.4682 |
| Affected lobe, n (%) | 2.6±1.6 | 2.5±1.4 | 0.662 | |
| One lobe | 38 (36.2) | 7 (33.3) | 31 (36.9) | |
| Two lobes | 18 (17.1) | 3 (14.3) | 15 (17.9) | |
| Three lobes | 20 (19.0) | 4 (19.0) | 16 (19.5) | |
| Four lobes | 15 (14.3) | 3 (14.3) | 12 (14.3) | |
| Five lobes | 14 (13.3) | 4 (19.0) | 10 (11.9) | |
| Blood routine, n (%) | ||||
| Leucocytes (×109 per L; normal range, 3.5–9.5) | ||||
| Normal or decreased | 87 (82.9) | 18 (85.7) | 69 (82.1) | 0.3529 |
| Lymphocytes (×109 per L; normal range, 1.1–3.2) | ||||
| Decreased | 48 (45.7) | 3 (14.3) | 45 (53.6) | 0.1582 |
| CRP (mg/L); (normal range, 0.0–5.0) | ||||
| Increased | 85 (81.0) | 13 (61.9) | 72 (85.7) | 0.4569 |
| Blood biochemistry, n (%), increased | ||||
| Serum creatinine (μmol/L; normal range, 57.0–111.0) | 36 (34.3) | 6 (28.6) | 30 (35.7) | 0.1488 |
| Aspartate aminotransferase (U/L; normal range, 15.0–40.0) | 25 (23.8) | 3 (14.3) | 22 (26.2) | 0.2405 |
| Lactate dehydrogenase (U/L; normal range, 120.0–250.0) | 28 (26.7) | 5 (23.8) | 23 (27.4) | 0.2578 |
| Kalemia (mmol/L; normal range, 3.5–5.3) | 29 (27.6) | 3 (14.3) | 26 (30.1) | 0.1678 |
| Alanine aminotransferase (U/L; normal range, 9.0–50.0) | 23 (21.9) | 4 (19.0) | 19 (22.6) | 0.3072 |
GGO, ground-glass opacity; CRP, C-reactive protein.
Figure S1Chest CT of 10 confirmed cases before and after treatment. Cases 3, 4, 5: chest CT (left) shows high-density mass shadows in both lungs. Tracheal intubation is seen in the trachea. Chest CT shows an improved status (right). Case 6: CT shows density shadows of mottled GGO in the right lung. Chest CT shows a worse status (right). Case 8: CT shows density shadows of mottled GGO in the left lung. Chest CT shows an improved status (right). Cases 9, 10: chest CT (left) shows density shadows of flake GGO in both lungs. Chest CT shows an improved status (right). Case 11: CT shows density shadows of mottled GGO in the left lung. Chest CT shows a worse status (right). Case 7: chest CT shows a worse status (right). CT shows density shadows of mottled GGO in the left lung. Case 12: chest CT shows nodular consolidation with partial GGO in the right lung. chest CT shows no change (right). GGO, ground-glass opacity.
Figure 3Case 1 in the confirmed group. Case 1: chest CT and PCR demonstrating progression from weak positivity to positivity. (A) A small inflamed nodule is seen in the right lower lobe of the lung, and no obvious exudation is seen in other lung fields. (B) A flocculent fuzzy exudation shadow is seen in the basal segment of the right inferior lung lobe. At the same time, RT-PCR shows a weakly positive result of COVID-19. (C) CT shows a worse status: a large GGO is seen in the lower right lobe. Tracheal intubation is seen in the trachea. COVID-19 is positive by RT-PCR. Chest CT on 2020-02-04 (D) shows high-density shadows in both lungs. GGO, ground-glass opacity. The red arrows indicate lesion location.
Figure 4Case 2 in the confirmed group. Case 2: chest CT and two consecutive RT-PCR assays for 2COVID-19 demonstrating progression from negativity to positivity. Chest CT on 2020-01-25 (A) shows exudation and a nodular shadow near the bronchus of the upper lobe of the right lung, and two consecutive RT-PCR assays for COVID-19 on 01-25 and 01-26 are both negative. Chest CT on 2020-02-06 (B) shows multiple GGO exudation shadows in both lungs. COVID-19 is positive and chest CT shows a worse status. GGO, ground-glass opacity. The red arrow indicates lesion location.
Figure 5Chest CT of two suspected cases. Case 1: chest CT shows high-density mass shadows in the right lungs (A). After one week, chest CT shows no significant change (B). Case 2: CT shows a density shadow of mottled GGO in the right lobe (C). After short-term treatment, chest CT shows significant changes (D). GGO, ground-glass opacity. The red arrows indicate lesion location.