Clinical Application of Intelligent Oropharyngeal-swab Robot: Implication for COVID-19 Pandemic
- Shao-Qiang Li1,3,
- Wen-Liang Guo1,3,
- Hao Liu2,3,
- Tao Wang1,
- Yuan-Yuan Zhou2,
- Tao Yu2,
- Chong-Yang Wang2,
- Yong-Ming Yang2,
- Nan-Shan Zhong1,
- Nuo-Fu Zhang1 and
- Shi-Yue Li1
- 1State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- 2State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China
- 3These authors contributed equally to this manuscript
- Prof. Nuo-Fu Zhang or Shi-Yue Li, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. E-mail: nfzhanggird{at}163.com or lishiyue{at}188.com
Abstract
Clinical Application on the safety and effectiveness of Intelligent Oropharyngeal-swab Robot for the Implication for COVID-19 Pandemic
Coronavirus disease 2019 (COVID-19), caused by infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is transmitted through respiratory droplets and close contact [1–4]. To diagnose COVID-19, oropharyngeal-swab (OP-swab) sampling is widely used for viral nucleic acid detection [3]. However, healthcare workers who perform OP-swab are at high risk of infection due to aerosol from patients during the process of sampling. And the quality of manual OP-swabs is inconsistent among different collectors, which may lead to misdiagnosis [5]. Remote controlled OP-swab robot has the potential to avoid close contact between healthcare workers with patients, and thus reduce the risk of SARS-CoV-2 infection during sampling. Here, we invented a robotic sampling (RS) system and evaluated the safety and efficacy of this system on OP-swab sampling during the period of pandemic.
First-generation semi-automatic OP-swab robot jointly developed by Shenyang Institute of Automation of the Chinese Academy of Science and First Affiliated Hospital of Guangzhou Medical University was used to take OP-swabs in this study (fig. 1a–d). The exposure of OP-swab sampling using robot is classified according to the visible structures as follows: class I, soft palate, fauces, uvula, pillars; class II. soft palate, fauces, uvula; class III, soft palate, base of uvula; class IV, soft palate not visible at all. Class I was defined good field of view (FOV) of posterior pharyngeal wall, and class II-IV was defined limited FOV of posterior pharyngeal wall. Research protocol was registered (ChiCTR2000030861) and approved by Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University (2020-46).Suspected COVID-19 patients were determined based on criteria of National Health Commission of China [6].
Sampling parameters, safety and effectiveness of OP-swab robot were investigated in 20 healthy individuals using four different sampling forces (10–60 g). Effectiveness was determined in terms of sampling success rate (completion in first attempt), and swab quality was determined based on the threshold cycle (Ct) value for glyceraldehydes 3-phosphate dehydrogenase (GAPDH) by RT-PCR [8]. OP-swabs with Ct values of ≤37 and >37 was considered as qualified and unqualified samples respectively. Sampling adverse reactions were determined in terms of retching, sore throat, pharyngeal congestion, or injury of posterior pharyngeal wall after sampling. Comparison study of the safety and effectiveness between RS and MS was performed in 30 healthy individuals in cross-over trials. Clinical application study was performed in 20 consecutive suspected COVID-19 patients from a fever clinic to compare the pathogen test results of the two methods. OP-swab sample collection in MS group was achieved through wiping of posterior pharyngeal wall with sterile cotton swab by experienced collectors. Data normality was tested via Kolmogorov–Smirnov test and presented as Mean±sd or Median (IQR). Two-sided independent sample t-test,one way ANOVA or Fisher's exact test were used as appropriate, a p<0.05 was considered statistically significant.
Sampling success rate was 95% in 20 healthy subjects with different force groups when using RS-system. The Ct values showed 97% specimens as qualified, and no significant difference in the quality of the specimens was found in the four sampling force groups based on the sample GADPH Ct value. (Group 10–30 g: 31.50 ±3.5; Group 20–40 g: 32.93 ±2.9; Group 30–50 g: 32.37 ±2.1; and Group 40–60 g: 32.97 ±2.1, p=0.346). There was no pharyngeal congestion or injury in any participant, however, incidence of sore throat was higher when the sampling force is >40 g (15.8%, 6/38) when compared to low-force (≤ 40 g) group (0/38; p=0.025). Thus, 20–40 g force was selected for OP-swab robot sampling in subsequent experiments. Next, we compared RS and MS system and showed 95% and 100% success rates respectively when measuring GAPDH in the swab samples in the crossover study. All specimens were qualified based on GAPDH Ct values of ≤37, however, variation of Ct value from MS specimens was more significant compared to RS specimens (27.14±2.0 versus 27.86±2.02, p=0.008). However, the difference in Ct values from the data did not exceed 1, and although there was statistical difference, no clinical significance was indicated. No significant differences in adverse reactions were observed between the two groups. Swab quality was affected by limited FOV as Ct value of swab specimens with good FOV group was significantly lower than the limited FOV group (Ct value of good FOV group: 27.33±1.99; Ct value of limited FOV group: 28.61±1.87;p=0.018). There were 7 and 9 cases of limited FOV in MS and RS groups respectively,. However, after eliminating the influence factor of limited FOV, no significant difference in swab quality was found between the MS and RS methods (27.05±2.0 versus 27.61±1.97, p=0.156). RS sampling time (9 ±4.1 s) was significantly shorter than MS group (18 ±5.1 s; p=0.032). There was no significant difference in adverse reactions between the RS and MS groups(10% versus 10%, p=1).
Lastly, OP swabs were collected using MS and RS in 20 suspected COVID-19 patients, including 8 males and 12 females with the mean age of 45 ±15 years. OP swab samples were subjected to pathogen testing. SARS-CoV-2 nucleic acid was negative for all suspected cases. The results of viral and mycoplasma tests were negative. There were two cases tested positive for bacteria, including one case of Staphylococcus infection and another case of Moraxella catarrhalis infection.
The consistency of the pathogen discovery results between the two sampling methods for the 20 suspected cases of COVID-19 reached 95% (Kappa=0.875). No differences in the success rate, swab quality, and pathogen discovery results were found between the oropharyngeal-swab robot and manual sampling methods.
Standard sampling of OP swab, including the precise delivery of swab to target tissue, appropriate force and touch avoidance of surrounding tissue, has confirmed to be prerequisite for the enhancement of positive detection rate [9–11]. MS swab sampling may potentially lead to false-negative results due to lack of experience and psychological anxiety on sampling personnel due to SARS-CoV-2 contagious nature [5]. OP-swab robot with remote camera can help medical staffs to have clear vision during sampling without close contact to patients, thus resulting in collection of high-quality swab specimens consistently. Though greater force is believed to be capable of collecting higher number of cells in swab, however, our results showed that there was no correlation between the quality of swab specimens and sampling force. Thus, the RS system showed advantage in the quality control of OP swab sampling, and have the potential to minimise the risk of infection to healthcare workers [11].
Time from research and development to application was pressed in light of the crisis of the emerging infectious disease. Therefore, the first generation of pharyngeal swab robots still required medical assistants to manually replace the isolation sleeves and swabs after collecting the specimens, which would minimise but not avoid the exposure to SARS-COV-2. However, ultraviolet disinfection and air disinfectant machine were performed for sterilisation after each specimen collection to avoid the exposure risk to the outmost extent. Additionally, in view of this situation the second-generation intelligent robot has been developed to achieve intelligent movement and automatically replace the swab and protective cover, and is currently preparing for the next phase of clinical trials. It can further improve the intelligence and reduce the degree of manual participation.
Though this was a preliminary, single-center study in limited COVID-19 patients, the sampling process of the intelligent oropharyngeal-swab robot is safe, with a high success rate of sampling. The quality of OP swabs and the detection rate of pathogens were not interior to those collected manually. The oropharyngeal-swab robot presents a safe and effective sampling method, and could avoid cross infection to the operators. During epidemics or pandemics, the oropharyngeal-swab robot has a good application prospect in clinical practice.
Footnotes
Support statement: This study was supported by the National Natural Science Foundation of China (Grant No. 62043102 & No. 81970046), Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005) and Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901). National Natural Science Foundation of China; DOI: http://dx.doi.org/10.13039/501100001809; Grant: 62043102; Guangzhou Science and Technology Innovation Development Special Fund ; Grant: 2060901; Innovative and Strategic Program of Guangdong's Scientific and Technological Policy ; Grant: 2020B111126005.
Conflict of interest: Dr. Li reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Guo reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Liu reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Wang reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Zhou reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Yu reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Wang reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Yang reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Zhong reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Zhang reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
Conflict of interest: Dr. Li reports grants from National Natural Science Foundation of China (Grant number: 62043102), grants from Innovative and Strategic Program of Guangdong's Scientific and Technological Policy (Grant number: 2020B111126005), grants from Guangzhou Science and Technology Innovation Development Special Fund (Grant number: 2060901), during the conduct of the study.
- Received May 12, 2020.
- Accepted June 22, 2020.
- Copyright ©ERS 2020
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