| Literature DB >> 32359839 |
Chunyan Qiao1, Hui Zhang1, Mingguang He2, Guishuang Ying3, Changzheng Chen4, Yanping Song5, Julius Oatts6, Zhonghua Liu7, Yiqiao Xing8, Zefeng Xiao9, Min Ke10, Ya Ye5, Xiaoniao Chen1, Jihong Luo11, Ying Han12, Ningli Wang13.
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Year: 2020 PMID: 32359839 PMCID: PMC7166011 DOI: 10.1016/j.ophtha.2020.04.026
Source DB: PubMed Journal: Ophthalmology ISSN: 0161-6420 Impact factor: 12.079
Characteristics of 28 Eye Professionals Infected with Symptomatic COVID-19 in Wuhan, China
| Patient No. | Hospital | Age (yrs) | Gender | Occupation | Subspecialty | Years in Practice | Severity | Chest Computed Tomography Findings | SARS-CoV-2 Test Results | |
|---|---|---|---|---|---|---|---|---|---|---|
| Antibody Test | Reverse-Transcriptase Polymerase Chain Reaction Nasopharyngeal Swab | |||||||||
| 2 | G | 31 | F | Ophthalmologist | Comprehensive | < 5 | Mild | Unilateral infiltration | Positive | |
| 5 | A | 41 | F | Ophthalmologist | Comprehensive | > 15 | Mild | Bilateral infiltration | Positive | |
| 11 | D | 49 | M | Ophthalmologist | Retina | > 15 | Mild | Bilateral infiltration | Positive | |
| 12 | G | 63 | M | Ophthalmologist | Retina | > 15 | Death | Bilateral infiltration | NA | Negative |
| 13 | G | 53 | M | Ophthalmologist | Anterior segment | > 15 | Death | Bilateral infiltration | NA | Negative |
| 15 | H | 47 | F | Ophthalmologist | Comprehensive | > 15 | Mild | Unilateral infiltration | Positive | Negative |
| 16 | F | 40 | M | Ophthalmologist | Comprehensive | > 15 | Mild | Bilateral infiltration | Positive | |
| 17 | B | 37 | M | Ophthalmologist | Retina | 10–15 | Mild | Bilateral infiltration | Positive | Negative |
| 21 | B | 42 | F | Ophthalmologist | Cornea | > 15 | Mild | Bilateral infiltration | Positive | Negative |
| 22 | C | 49 | F | Ophthalmologist | Cornea | > 15 | Mild | Bilateral infiltration | Positive | |
| 25 | G | 39 | F | Ophthalmologist | Comprehensive | 10–15 | Mild | Unilateral infiltration | Positive | Negative |
| 26 | I | 70 | M | Ophthalmologist | Anterior segment | > 15 | Severe | Bilateral infiltration | Positive | |
| 27 | G | 34 | M | Ophthalmologist | Comprehensive | 5–10 | Death | Bilateral infiltration | Positive | |
| 28 | J | 33 | M | Ophthalmologist | Comprehensive | < 5 | Mild | Bilateral infiltration | Positive | |
| 1 | D | 29 | F | Nurse | 5–10 | Mild | Normal | Positive | ||
| 3 | G | 35 | F | Nurse | 10–15 | Mild | Bilateral infiltration | Positive | Negative | |
| 4 | G | 33 | F | Nurse | 10–15 | Mild | Unilateral infiltration | Positive | Negative | |
| 6 | D | 33 | F | Nurse | 10–15 | Mild | Bilateral infiltration | Positive | Negative | |
| 7 | E | 34 | F | Nurse | 10–15 | Mild | Bilateral infiltration | Positive | ||
| 8 | E | 37 | F | Nurse | > 15 | Mild | Bilateral infiltration | Positive | ||
| 9 | E | 39 | F | Nurse | > 15 | Severe | Bilateral infiltration | Positive | Negative | |
| 10 | E | 32 | F | Nurse | 10–15 | Severe | Bilateral infiltration | Positive | Negative | |
| 14 | D | 59 | M | Technician | > 15 | Mild | Bilateral infiltration | Positive | ||
| 18 | B | 37 | F | Nurse | 10–15 | Mild | Bilateral infiltration | Positive | Not performed | |
| 19 | B | 32 | F | Nurse | 5–10 | Mild | Bilateral infiltration | Positive | ||
| 20 | B | 38 | F | Nurse | > 15 | Severe | Bilateral infiltration | Positive | not done | |
| 23 | C | 67 | F | Technician | > 15 | Severe | Bilateral infiltration | Positive | ||
| 24 | D | 31 | F | Nurse | 5–10 | Mild | Bilateral infiltration | Positive | ||
COVID-19 = novel corona virus disease 2019; F = female; M = male; NA = not available; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2.
Comparison of Characteristics between Symptomatic COVID-19 Patients and Control Participants
| Characteristics | Patients (n = 26) | Control Participants (n = 96) | |
|---|---|---|---|
| Age (yrs) | |||
| Mean ± SD | 40.8 ± 10.3 | 35.1 ± 5.5 | |
| Range | 29–67 | 26–52 | |
| Female gender, no. (%) | 19 (73.1) | 80 (83.3) | 0.26 |
| Years of clinical practice, no. (%) | |||
| < 5 | 1 (3.9) | 14 (14.6) | |
| 5–9 | 4 (15.4) | 32 (33.3) | |
| 10–15 | 8 (30.8) | 31 (32.3) | |
| > 15 | 13 (50.0) | 19 (19.8) | |
| Occupation, no. (%) | 0.18 | ||
| Ophthalmologist | 12 (46.2) | 47 (49.0) | |
| Ophthalmic nurse | 12 (46.2) | 48 (50.0) | |
| Ophthalmic technician | 2 (7.7) | 1 (1.0) | |
| Workplace environment, no. (%) | |||
| Outpatient clinic | 14 (53.9) | 57 (59.4) | 0.66 |
| Inpatient wards | 13 (50.0) | 54 (56.3) | 0.65 |
| Front line | 9 (4.6) | 30 (31.3) | 0.81 |
| Contact with COVID-19 patient, no. (%) | 22 (84.6) | 48 (50.0) | |
| Lack of PPE, no. (%) | 14 (53.9) | 26 (27.1) | |
| No sufficient sleep, no. (%) | 11 (42.3) | 16 (16.7) | |
| Received COVID-19 PPE training, no. (%) | 20 (76.9) | 79 (82.3) | 0.58 |
COVID-19 = novel corona virus disease 2019; PPE: personal protective equipment; SD = standard deviation.
Boldface indicates statistical significance.
Two-sample t test for comparison of means and Fisher exact test for comparison of proportions.