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Enregistrement W4225377495 · doi:10.4103/ijo.ijo_757_22

Commentary: Can we depend on the point-of-care rapid antigen testing for SARS-CoV-2 for routine ophthalmic procedures and high volume ophthalmic settings?

2022· letter· en· W4225377495 sur OpenAlexaboutno aff
Deepak Mishra, Kirandeep Kaur, Bharat Gurnani

Notice bibliographique

RevueIndian Journal of Ophthalmology · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueRetinal and Optic Conditions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePandemicPoint-of-care testingOptometryMedical emergencyCoronavirus disease 2019 (COVID-19)DiseaseInfectious disease (medical specialty)Internal medicinePathology

Résumé

récupéré en direct d'OpenAlex

The first confirmed case of SARS-CoV-2 was reported in 2019 from China, and more than 24 months have passed since the reports of the first coronavirus case in India. The global coronavirus pandemic impacted the world deeply, challenging public health care systems, and had an unprecedented impact on ocular services.[1] The rapid surge in COVID-19 cases mandated lockdown measures across the globe, and this led to a reduction and near-total halt of routine and elective ophthalmic procedures in every hospital. Only emergency surgeries were undertaken based on the consensus statement and guidelines suggested by the All India Ophthalmological Society (AIOS).[2] This deeply impacted the routine delivery of eye care services, economic and financial downfall, and increased emergency cases like phacolytic glaucoma, advanced diabetic eye disease, acute angle-closure glaucoma, and non-resolving corneal ulcers. Once the lockdown phase was over, this was followed by a slow and careful return to routine eye care services. But there was still a fear of performing elective surgical procedures due to contact transmission and the spread of the virus through the ocular surface. The AIOS guidelines suggested a safety approach with appropriate COVID-19 testing before ophthalmic surgical procedures. Thus, there was a definitive need to develop new testing strategies to continue the professional activities safely. It is well known that the most sensitive and specific gold standard test for COVID-19 detection is reverse transcription-polymerase chain reaction (RT-PCR) using a throat swab, saliva, or nasopharyngeal swab. It is not always feasible to perform an RT-PCR due to the high cost, barriers in sample procurement, transport, lab facility, sophisticated and costly equipment, and results in batches usually available after 24 hours. Hence, there was a need to develop antigen detection kits (immunoassays) that could be rapid and available for point-of-care testing (PoC) to facilitate screening for elective ophthalmic procedures and backlog of cases at high-volume tertiary eye care centers, Especially the cataract surgery. Moreover, while developing these kits, it was mandated that these kits should be comparable in diagnostic accuracy to avoid false-positive and false-negative results. This issue was also considered by the Indian Council of Medical Research (ICMR).[3] They suggested using a validated rapid chromatographic immunoassay called the Standard Q COVID-19 Ag detection kit (SD, Biosensor, South Korea) for qualitative SARS-CoV-2 antigen detection for hospital health care staff and asymptomatic patients undergoing aerosol-generating procedures. Recently, a large number of studies were performed on this similar concept, giving insights on the point-of-care rapid antigen test (PoC-RAT). Tripathy et al.,[4] in their retrospective analysis of 311 subjects with PoC-RAT, showed an overall positivity rate of 7%. They concluded that these tests could be considered for routine screening of asymptomatic patients, contact tracing, and testing of hospital health care staff at a high-volume tertiary eye care hospital. Gans et al.[5] in their analysis from Canada showed that 903,408 RATs conducted for 537 workplaces had 1,322 (0.15%) positive results, of which 1,103 were PCR positive. The false-positive samples were 0.05% (462) out of 42% PCR positive samples. They concluded that the overall false-positive rate of RAT is very low and in accordance with other studies. Chiamayo et al.[6] did a comparative analysis of Standard Q COVID-19 Ag kit for RAT SARS-CoV-2 detection versus Allplex 2019-nCoV Assay (RT-PCR) in 454 respiratory samples. They found that 60 patients (13.2%) were positive, and 394 patient samples (86.8%) were negative for COVID-19 by RT-PCR. The sensitivity and specificity of RAT were 98.33% and 98.73%, respectively, which was comparable to RT-PCR. Hence, they concluded that RAT could be employed as a screening test in a large volume setting with comparable results. Similarly, Pena et al.[7] did a comparative analysis of RAT versus RT-PCR in 842 asymptomatic Chilean individuals. Their results depicted a sensitivity of 69.86% and specificity of 99.61%. The positive predictive value (PPV) was 94.44%, and the negative predictive value (NPV) was 97.22%, with a Ct value >27 that was comparatively higher in patients with false-negative RAT. They concluded that RAT is a valuable tool for screening asymptomatic individuals in places that lack suitable NABH accredited RT-PCR laboratory facilities or where immediate results are warranted. A Cochrane review by Dinnes et al.[8] detailed the accuracy of multiple RATs. They found that out of 37 evaluations for symptomatic individuals, the average sensitivity was 72%, while in 12 evaluations from asymptomatic individuals, the sensitivity was 59.1%. In the present study,[9] the authors analyzed a large sample of 629 asymptomatic individuals undergoing ophthalmic procedures by assessing the PoC-RAT against RT-PCR for screening of the COVID-19 virus. The analysis depicted that one patient turned out to be positive with both RAT and RT-PCR while two patients who were initially negative with RAT tested positive with RT-PCR later. The percent accordance between the two tests was very high, 99.68% and Cohen’s kappa coefficient was 0.49, indicating moderate agreement. The RAT rate was 0.15% (1/629), RT-PCR was 0.47% (3/629), and sensitivity was 33%, specificity was 100%, PPV 100% and NPV 99.68%. Since only asymptomatic individuals were tested, the positivity rate was low from the analysis. The Cohen kappa coefficient was also low due to the low positivity of RAT and RT-PCR. The results from the study are highly encouraging and can be taken as a benchmark for future studies. Thus, to conclude, PoC-RAT tests are rapid antigen tests that provide quick results in 15–30 minutes, and help in faster diagnosis, prompt isolation and treatment. RAT is a useful tool for high volume throughput screening and rapid surgical turnover during routine ophthalmic surgical procedures with a disadvantage of variable sensitivity and specificity. Currently, there are more than 170 RAT kits available in the market with variable results, but few are extensively validated. Based on the literature available, it can be concluded that we can very well depend on PoC-RAT for SARS-CoV-2 for routine ophthalmic procedures and high-volume ophthalmic settings.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,815
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,305
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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