Literature DB >> 32232433

Characteristics of Ocular Findings of Patients With Coronavirus Disease 2019 (COVID-19) in Hubei Province, China.

Ping Wu1, Fang Duan2, Chunhua Luo1, Qiang Liu1, Xingguang Qu1, Liang Liang1, Kaili Wu2.   

Abstract

IMPORTANCE: While the outbreak of coronavirus disease 2019 (COVID-19) has resulted in more than 100 000 infected individuals in China and worldwide, there are few reports on the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with ocular abnormalities. Understanding ocular manifestations of patients with COVID-19 by ophthalmologists and others may facilitate the diagnosis and prevention of transmission of the disease.
OBJECTIVE: To investigate ocular manifestations and viral prevalence in the conjunctiva of patients with COVID-19. DESIGN, SETTING, AND PARTICIPANTS: In this case series, patients with COVID-19 treated from February 9 to 15, 2020, at a hospital center in Hubei province, China, were retrospectively reviewed for ocular manifestations. During the period of treatment, the ocular signs and symptoms as well as results of blood tests and reverse transcriptase-polymerase chain reaction (RT-PCR) from nasopharyngeal and conjunctival swabs for SARS-CoV-2 were noted and analyzed. MAIN OUTCOMES AND MEASURES: Ocular signs and symptoms as well as results of blood tests and RT-PCR for SARS-CoV-2.
RESULTS: Of the 38 included patients with clinically confirmed COVID-19, 25 (65.8%) were male, and the mean (SD) age was 65.8 (16.6) years. Among them, 28 patients (73.7%) had positive findings for COVID-19 on RT-PCR from nasopharyngeal swabs, and of these, 2 patients (5.2%) yielded positive findings for SARS-CoV-2 in their conjunctival as well as nasopharyngeal specimens. A total of 12 of 38 patients (31.6%; 95% CI, 17.5-48.7) had ocular manifestations consistent with conjunctivitis, including conjunctival hyperemia, chemosis, epiphora, or increased secretions. By univariate analysis, patients with ocular symptoms were more likely to have higher white blood cell and neutrophil counts and higher levels of procalcitonin, C-reactive protein, and lactate dehydrogenase than patients without ocular symptoms. In addition, 11 of 12 patients with ocular abnormalities (91.7%; 95% CI, 61.5-99.8) had positive results for SARS-CoV-2 on RT-PCR from nasopharyngeal swabs. Of these, 2 (16.7%) had positive results for SARS-CoV-2 on RT-PCR from both conjunctival and nasopharyngeal swabs. CONCLUSIONS AND RELEVANCE: In this study, one-third of patients with COVID-19 had ocular abnormalities, which frequently occurred in patients with more severe COVID-19. Although there is a low prevalence of SARS-CoV-2 in tears, it is possible to transmit via the eyes.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32232433      PMCID: PMC7110919          DOI: 10.1001/jamaophthalmol.2020.1291

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


Introduction

Since December 2019, coronavirus disease 2019 (COVID-19) has been reported among patients in China. Currently, the disease is quickly spreading worldwide. The pathogen of COVID-19 is a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]), identified as a member of the Coronaviridae family. Another coronavirus, named SARS-CoV-1, was responsible for severe acute respiratory syndrome.[1] Compared with SARS-CoV-1, SARS-CoV-2 has a similar binding receptor and similar pathologic features systemically and epidemiological characteristics.[1,2] Although there is no direct evidence that SARS-CoV-1 replication results in conjunctivitis and other ocular diseases, reports have emphasized the eye as a potential site for virus transmission.[3] Similarly, SARS-CoV-2 transmission through the eye has been suspected. Nevertheless, there are no reports in the medical literature at this time, to our knowledge, that identify a direct relationship between SARS-CoV-2 and the eye. Researchers have not reported ocular abnormalities nor have they stated in the medical literature if there was conjunctivitis or viral presence detected in the tears of patients with COVID-19. The objective of this study was to evaluate ocular involvement systematically in patients highly suspected of having or confirmed to have COVID-19.

Methods

From February 9 to 15, 2020, patients with COVID-19 hospitalized in Yichang Central People’s Hospital were diagnosed based on the 5th edition of the National Guideline on Prevention and Control of the Novel Coronavirus Pneumonia (PC-NCP) published by the National Health Commission of China on February 8, 2020.[4] The patient symptoms, ocular manifestations, chest computed tomographic scans, and results of blood tests and reverse transcriptase–polymerase chain reaction (RT-PCR) from nasopharyngeal and conjunctival swabs for SARS-CoV-2 were noted and analyzed. This study was approved by the ethics committee of Yichang Central People’s Hospital, and all patients gave written informed consent. All statistical analyses were performed using SPSS version 13.0 (SPSS Inc). Means for continuous variables were compared using independent-group t test when the data were normally distributed; otherwise, the Mann-Whitney test was used. Proportions for categorical variables were compared using the χ2 and Fisher exact test as appropriate. For unadjusted comparisons, a 2-sided α of less than .05 was considered statistically significant.

Results

Of the 38 consecutive patients with COVID-19 who were recruited, 25 (65.8%) were male, and the mean (SD) age was 65.8 (16.6) years (Table 1). Among them, 28 patients (73.7%) had positive findings for COVID-19 on RT-PCR from nasopharyngeal swabs, and of these, 2 patients (5.2%) yielded positive findings for SARS-CoV-2 in their conjunctival as well as nasopharyngeal specimens. The other 10 patients who were hospitalized were judged to have COVID-19 by the guideline of PC-NCP,[4] with fever and/or respiratory symptoms and lung computed tomography imaging features of COVID-19 pneumonia.
Table 1.

Clinical Laboratory Results of Patients With Coronavirus Disease 2019 (COVID-19)

MeasureMean (SD)Difference (95% CI)P value
Total (N = 38)Ocular symptoms
Yes (n = 12)No (n = 26)
Age, median (IQR), y68 (53 to 76)67 (52 to 76)70 (62 to 79)−3.39 (−8.47 to 15.25).28
Male, No. (%)25 (65.8)7 (58.3)18 (69.2)−0.11 (−0.44 to 0.22).51
Severe type, No. (%)a15 (39.4)8 (66.7)7 (26.9)0.40 (0.08 to 0.71).33
White blood cell count, /μL7360 (4480)10 900 (5580)5730 (2690)5160 (2460 to 7860).009
Lymphocyte count, /μL890 (500)710 (480)980 (490)−270 (−610 to 70).12
White blood cell count to lymphocyte count ratio14.96 (20.23)26.20 (25.36)9.77 (15. 30)16.43 (3.02 to 29.85).06
Neutrophil count, /μL5920 (4640)9510 (5820)4260 (2820)5250 (2430 to 8070).01
Monocyte count, /μL500 (210)620 (280)440 (150)170 (30 to 3100).06
Platelet count, ×103/μL184.39 (77.28)184.58 (89.70)184.31 (72.80)0.28 (−55.18 to 55.73).99
PCT ≥0.05 ng/mL, No. (%)15 (40.5)8 (66.7)7 (28.0)b0.39 (0.06 to 0.71).03
CRP, mg/dL5.17 (6.30)8.55 (8.87)3.61 (4.02)4.95 (0.7 to 9.15).04
D-dimer, μg/mL1.76 (2.42)2.96 (3.93)c1.35 (1.53)d1.62 (−0.35 to 3.59).15
Creatine kinase, U/L101.82 (85.81)91.08 (58.35)106.77 (96.53)−15.69 (−77.03 to 45.66).61
Creatine kinase–MB, ng/mL11.87 (5.67)12.42 (4.94)11.62 (6.05)0.80 (−3.26 to 4.86).35
LDH, U/L281.11 (154.47)381.7 (196.52)234.65 (105.89)147.10 (48.04 to 246.15).03
Alanine aminotransferase, U/L31.08 (27.46)39.83 (45.25)27.04 (12.69)12.79 (−6.43 to 32.02).36
Aspartate aminotransferase, U/L35.58 (26.58)45.33 (41.73)31.08 (14.58)14.26 (−4.20 to 32.71).27
Urea nitrogen, mg/dL41.24 (128.83)20.21 (15.37)50.94 (155.41)−30.72 (−122.58 to 61.14).50
Creatinine, mg/dL1.61 (2.84)1.94 (3.81)1.46 (2.34)0.48 (−1.55 to 2.52).63

Abbreviations: CRP, C-reactive protein; IQR, interquartile range; LDH, lactate dehydrogenase; PCT, procalcitonin.

SI conversion factors: To convert white blood cell count to ×109 per liter, multiply by 0.001; lymphocyte count to ×109 per liter, multiply by 0.001; neutrophil count to ×109 per liter, multiply by 0.001; monocyte count to ×109 per liter, multiply by 0.001; platelet count to ×109 per liter, multiply by 1; CRP to milligrams per liter, multiply by 10; D-dimer to nanomoles per liter, multiply by 5.476; creatine kinase to microkatals per liter, multiply by 0.0167; creatine kinase–MB to micrograms per liter, multiply by 1; LDH to microkatals per liter, multiply by 0.0167; alanine aminotransferase to microkatals per liter, multiply by 0.0167; aspartate aminotransferase to microkatals per liter, multiply by 0.0167; urea nitrogen to millimoles per liter, multiply by 0.357; and creatinine to micromoles per liter, multiply by 88.4.

Includes severe and critical cases of COVID-19.

Data from 1 patient missing.

Data from 4 patients missing.

Data from 3 patients missing.

Abbreviations: CRP, C-reactive protein; IQR, interquartile range; LDH, lactate dehydrogenase; PCT, procalcitonin. SI conversion factors: To convert white blood cell count to ×109 per liter, multiply by 0.001; lymphocyte count to ×109 per liter, multiply by 0.001; neutrophil count to ×109 per liter, multiply by 0.001; monocyte count to ×109 per liter, multiply by 0.001; platelet count to ×109 per liter, multiply by 1; CRP to milligrams per liter, multiply by 10; D-dimer to nanomoles per liter, multiply by 5.476; creatine kinase to microkatals per liter, multiply by 0.0167; creatine kinase–MB to micrograms per liter, multiply by 1; LDH to microkatals per liter, multiply by 0.0167; alanine aminotransferase to microkatals per liter, multiply by 0.0167; aspartate aminotransferase to microkatals per liter, multiply by 0.0167; urea nitrogen to millimoles per liter, multiply by 0.357; and creatinine to micromoles per liter, multiply by 88.4. Includes severe and critical cases of COVID-19. Data from 1 patient missing. Data from 4 patients missing. Data from 3 patients missing. A total of 12 of 38 patients (31.6%; 95% CI, 17.5-48.7) had ocular manifestations consistent with conjunctivitis, including conjunctival hyperemia, chemosis, epiphora, and increased secretions (Table 2). Among these 12 patients, there were 4 cases judged as moderate, 2 cases judged as severe, and 6 cases judged as critical, which was graded according to the guideline of PC-NCP[4]: moderate indicated fever and/or respiratory symptoms and lung computed tomography imaging findings; severe indicated dyspnea (respiratory frequency of 30 cycles per minute or greater), blood oxygen saturation of 93% or less, and an arterial partial pressure of oxygen to fraction of oxygen inspiration ratio of 300 or less; and critical indicated respiratory failure or shock or multiple organ dysfunction/failure.[4] In these patients, 1 patient experienced epiphora as the first symptom of COVID-19. None of them experienced blurred vision. By univariate analysis, patients with ocular symptoms were more likely to have higher white blood cell and neutrophil counts and higher levels of procalcitonin, C-reactive protein, and lactate dehydrogenase than patients without ocular symptoms (Table 1). In addition, 11 of 12 patients with ocular abnormalities (91.7%; 95% CI, 61.5-99.8) had positive results for SARS-CoV-2 on RT-PCR from nasopharyngeal swabs. Of these, 2 (16.7%) had positive results for SARS-CoV-2 on RT-PCR from both conjunctival and nasopharyngeal swabs.
Table 2.

Characteristics of 12 Patients With Ocular Manifestations

Patient No./Sex/Age, yTemperature at ocular examination, °CRespiratory symptomsClinical typeaOcular manifestationsSARS-CoV-2 RNA test result
Nasopharyngeal swabConjunctival swab
1/F/80s38.0DyspneaSevereChemosis, epiphoraPositive Negative
2/M/70s38.0Cough, expectorateCriticalSecretionPositiveNegative
3/M/50s39.9Cough, expectorateCriticalConjunctival hyperemia, secretionPositivePositive
4/F/80s39.0DyspneaSevereConjunctival hyperemia, chemosis, epiphora, secretionPositiveNegative
5/F/60s36.8CoughCriticalChemosis, epiphoraPositivePositive
6/M/60s38.7Cough, expectorateCriticalChemosis, epiphora, secretionPositiveNegative
7/F/80s36.5NoneModerateChemosis, epiphora, secretionPositiveNegative
8/F/70s38.0CoughCriticalChemosis, epiphora, secretionPositiveNegative
9/M/60s38.1NoneCriticalChemosis, secretionPositiveNegative
10/M/30s39.6Chest tightnessModerateChemosisPositiveNegative
11/M/40s37.1CoughModerateConjunctival hyperemiaNegativeNegative
12/M/70s36.9NoneModerateEpiphoraPositiveNegative

Abbreviations: F, female; M, male; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Graded by the National Guideline on Prevention and Control of the Novel Coronavirus Pneumonia.[4]

Abbreviations: F, female; M, male; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Graded by the National Guideline on Prevention and Control of the Novel Coronavirus Pneumonia.[4]

Discussion

Few previous investigations have evaluated ocular signs and symptoms in patients infected with SARS-CoV-1 and SARS-CoV-2. A few reports have evaluated for the presence of SARS-CoV-2 in tear fluid.[3,5] Our investigation suggests that among patients with COVID-19, 31.6% (95% CI, 17.5-48.7) have ocular abnormalities, with most among patients with more severe systemic manifestations or abnormal findings on blood tests. These results suggest that ocular symptoms commonly appear in patients with severe pneumonia. Our results show a low prevalence (5.2%; 95% CI, 0.6-17.8) of SARS-CoV-2 nucleotides in conjunctival specimens of patients with COVID-19, consistent with previous studies on severe acute respiratory syndrome.[3] Of note, we found only 1 patient presenting with conjunctivitis as the first symptom. Previous reports have shown the shedding of potentially infectious virus can occur in people who have no fever and minor or absent signs of infection.[6] Because unprotected eyes were associated with an increased risk of transmission of SARS-CoV-1,[7] in support of our current results, our results might suggest that SARS-CoV-2 might be transmitted through the eye. Limitations of this study include a relatively small sample size and absence of detailed ocular examinations to exclude intraocular disease owing to the logistical challenges of managing these patients at this time. In addition, we only sampled once from the eye of each patient, which can decrease the prevalence owing to false-negatives. Regardless, these preliminary results are shared in an effort to inform ophthalmologists and others around the world regarding ocular symptoms with COVID-19.
  6 in total

Review 1.  The severe acute respiratory syndrome.

Authors:  Joseph S M Peiris; Kwok Y Yuen; Albert D M E Osterhaus; Klaus Stöhr
Journal:  N Engl J Med       Date:  2003-12-18       Impact factor: 91.245

2.  Risk factors for SARS transmission from patients requiring intubation: a multicentre investigation in Toronto, Canada.

Authors:  Janet Raboud; Altynay Shigayeva; Allison McGeer; Erika Bontovics; Martin Chapman; Denise Gravel; Bonnie Henry; Stephen Lapinsky; Mark Loeb; L Clifford McDonald; Marianna Ofner; Shirley Paton; Donna Reynolds; Damon Scales; Sandy Shen; Andrew Simor; Thomas Stewart; Mary Vearncombe; Dick Zoutman; Karen Green
Journal:  PLoS One       Date:  2010-05-19       Impact factor: 3.240

3.  The severe acute respiratory syndrome coronavirus in tears.

Authors:  S-C Loon; S C B Teoh; L L E Oon; S-Y Se-Thoe; A-E Ling; Y-S Leo; H-N Leong
Journal:  Br J Ophthalmol       Date:  2004-07       Impact factor: 4.638

4.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

5.  Evidence of SARS-CoV-2 Infection in Returning Travelers from Wuhan, China.

Authors:  Sebastian Hoehl; Holger Rabenau; Annemarie Berger; Marhild Kortenbusch; Jindrich Cinatl; Denisa Bojkova; Pia Behrens; Boris Böddinghaus; Udo Götsch; Frank Naujoks; Peter Neumann; Joscha Schork; Petra Tiarks-Jungk; Antoni Walczok; Markus Eickmann; Maria J G T Vehreschild; Gerrit Kann; Timo Wolf; René Gottschalk; Sandra Ciesek
Journal:  N Engl J Med       Date:  2020-02-18       Impact factor: 91.245

6.  Exploring the pathogenesis of severe acute respiratory syndrome (SARS): the tissue distribution of the coronavirus (SARS-CoV) and its putative receptor, angiotensin-converting enzyme 2 (ACE2).

Authors:  K F To; Anthony W I Lo
Journal:  J Pathol       Date:  2004-07       Impact factor: 7.996

  6 in total
  396 in total

1.  The Eye: A Possible New Route of Infection in COVID-19.

Authors:  Anis Abobaker; Aboubaker Alzwi
Journal:  Disaster Med Public Health Prep       Date:  2020-07-27       Impact factor: 1.385

2.  Impact of novel coronavirus infection in patients with uveitis associated with an autoimmune disease: result of the COVID-19-GEAS patient survey.

Authors:  P Fanlo; G Espinosa; A Adán; R Arnáez; A Fonollosa; H Heras; J Oteiza; B Del Carmelo Gracia Tello; L Sáez Comet; L Pallarés
Journal:  Arch Soc Esp Oftalmol (Engl Ed)       Date:  2021-01-23

3.  Unmasking the mask: the role of personal protective equipment for ophthalmologists caring for asymptomatic patients during the COVID-19 pandemic.

Authors:  Adrian T Fung
Journal:  Int J Ophthalmol       Date:  2020-12-18       Impact factor: 1.779

4.  Fundus Lesions in Patients Hospitalized With COVID-19 Infection in Mumbai, India: A Retrospective Review.

Authors:  Salil Mehta; Prahlad Prabhudesai
Journal:  Cureus       Date:  2020-11-16

5.  Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: An evidence-based clinical practice guideline (updated version).

Authors:  Ying-Hui Jin; Qing-Yuan Zhan; Zhi-Yong Peng; Xue-Qun Ren; Xun-Tao Yin; Lin Cai; Yu-Feng Yuan; Ji-Rong Yue; Xiao-Chun Zhang; Qi-Wen Yang; Jianguang Ji; Jian Xia; Yi-Rong Li; Fu-Xiang Zhou; Ya-Dong Gao; Zhui Yu; Feng Xu; Ming-Li Tu; Li-Ming Tan; Min Yang; Fang Chen; Xiao-Ju Zhang; Mei Zeng; Yu Zhu; Xin-Can Liu; Jian Yang; Dong-Chi Zhao; Yu-Feng Ding; Ning Hou; Fu-Bing Wang; Hao Chen; Yong-Gang Zhang; Wei Li; Wen Chen; Yue-Xian Shi; Xiu-Zhi Yang; Xue-Jun Wang; Yan-Jun Zhong; Ming-Juan Zhao; Bing-Hui Li; Lin-Lu Ma; Hao Zi; Na Wang; Yun-Yun Wang; Shao-Fu Yu; Lu-Yao Li; Qiao Huang; Hong Weng; Xiang-Ying Ren; Li-Sha Luo; Man-Ru Fan; Di Huang; Hong-Yang Xue; Lin-Xin Yu; Jin-Ping Gao; Tong Deng; Xian-Tao Zeng; Hong-Jun Li; Zhen-Shun Cheng; Xiaomei Yao; Xing-Huan Wang
Journal:  Mil Med Res       Date:  2020-09-04

6.  Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations.

Authors:  Margarita V Revzin; Sarah Raza; Neil C Srivastava; Robin Warshawsky; Catherine D'Agostino; Ajay Malhotra; Anna S Bader; Ritesh D Patel; Kan Chen; Christopher Kyriakakos; John S Pellerito
Journal:  Radiographics       Date:  2020 Nov-Dec       Impact factor: 5.333

7.  Coronavirus and ophthalmology: What do we know and way forward.

Authors:  Rohit C Khanna
Journal:  Indian J Ophthalmol       Date:  2020-05       Impact factor: 1.848

8.  New York City COVID-19 resident physician exposure during exponential phase of pandemic.

Authors:  Mark P Breazzano; Junchao Shen; Aliaa H Abdelhakim; Lora R Dagi Glass; Jason D Horowitz; Sharon X Xie; C Gustavo de Moraes; Alice Chen-Plotkin; Royce Ws Chen
Journal:  J Clin Invest       Date:  2020-09-01       Impact factor: 14.808

9.  Detection of severe acute respiratory syndrome Coronavirus-2 in the tears of patients with Coronavirus disease 2019.

Authors:  Saeed Karimi; Amir Arabi; Toktam Shahraki; Sare Safi
Journal:  Eye (Lond)       Date:  2020-05-18       Impact factor: 3.775

10.  Seeking clarity on retinal findings in patients with COVID-19.

Authors:  Elia J Duh
Journal:  Lancet       Date:  2020-09-19       Impact factor: 79.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.