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Enregistrement W3080718838 · doi:10.4103/ijmr.ijmr_2411_20

Identification of SARS-CoV-2 clusters from symptomatic cases in India

2020· article· en· W3080718838 sur OpenAlexaboutno aff
Parul Jain, Om Prakash, Shantanu Prakash, Hricha Mishra, Himanshu Reddy, Arti Agarwal, Amita Jain

Notice bibliographique

RevueThe Indian Journal of Medical Research · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueSARS-CoV-2 and COVID-19 Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronavirusChristian ministryPneumoniaEtiologyRetrospective cohort studyFamily medicineDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Internal medicineLawPolitical science

Résumé

récupéré en direct d'OpenAlex

Sir, In December 2019, cases of pneumonia-like illness due to an unknown aetiological agent were reported in Wuhan city, Hubei province of China1. The aetiological agent was identified as a member of the Coronaviridae family and was termed the 2019 novel Coronavirus. Due to its genetic similarity with the severe acute respiratory syndrome (SARS) of 2003, the International Committee on Taxonomy of Viruses renamed it as SARS coronavirus 2 (SARS-CoV-2)2. The first case of SARS-CoV-2 was reported from Kerala, India, on January 30, 20203 and since then, the numbers are increasing continuously. The present study is a retrospective analysis of two clusters of laboratory-confirmed coronavirus disease 2019 (COVID-19) patients from India and highlights their series of events, clinical features and sequence analysis. The present study is a retrospective analysis of two clusters of laboratory-confirmed coronavirus disease 2019 (COVID-19) patients from India and highlights their series of events, clinical features and sequence analysis. This study was conducted in the departments of Microbiology and Medicine, King George's Medical University (KGMU), Lucknow, Uttar Pradesh (UP), India. The study protocol was approved by the Institutional Ethics Committee (251/Ethics/2020). People in close contact with a laboratory-confirmed case and persons who had undertaken international travel within the last 14 days and had developed symptoms, were taken as SARS-CoV-2 suspects as per the prevailing recommendations of the Ministry of Health and Family Welfare, Government of India4. These cases were either admitted in the medical wards of KGMU or other district hospitals or were traced by the team of UP Integrated Disease Surveillance Programme (UP-IDSP) during March 2020. Nasal and throat swabs were collected from these individuals and transported to the virology laboratory at the department of Microbiology, KGMU, in a virus transport medium maintaining a cold chain. RNA was extracted using the commercial kits as per the manufacturer's instructions (Thermo Fisher Scientific, USA) and screened for the SARS-CoV-2 specific E gene using real-time reverse transcription-polymerase chain reaction (RT-PCR)5. The E gene-positive samples were confirmed by real-time RT-PCR assay targeting the HKU-ORF1b and RdRp genes5. Clinical, demographic, contact and international travel details of the individuals were recorded from the clinical record forms. Statistical analysis was done using GraphPad Prism v5.0 (GraphPad Software Inc., San Diego, CA, USA). Inter-group comparisons of continuous variables were done using Chi-square test. Extensive contact tracing was done by employing personal and family interviews of the SARS-CoV-2-positive patients along with a check on their travel history. All the known contacts were quarantined and monitored for the development of disease symptoms, and their samples were also subjected to real-time RT-PCR testing. A total of 1,473 patients were referred from various districts of Uttar Pradesh to the department of Microbiology, KGMU, where they were tested for SARS-CoV-2, of whom 29 (1.96%) patients tested positive from March 3 to 31, 2020. The hierarchy of contact tracing for the two clusters of cases, one from Agra and the other from Lucknow, was observed from the positive cases detected, which is depicted in Figure 1.Fig. 1: Depiction of the two different clusters studied. The first cluster had travel history to Budapest, Hungary; Amsterdam (Holland), Iceland. The second cluster had travel history to Canada and the UK along with their contact cases. TCO and TCP numbers represent patient ID; FM, family member; HCW, healthcare worker.The two index cases of the first cluster from Agra (TCO461, -462) had sore throat and travel history to Milan, Italy; Budapest, Hungary; Amsterdam (Holland) and Iceland. Three of the 10 samples (TCO464, -465, -467) from the family members of these patients tested positive for SARS-CoV-2. A total of 233 contacts of these five positive cases were also tested, of whom two five were found to be positive within 14 days of coming in contact with the index cases. Of these, one (TCO788) was symptomatic and the other was asymptomatic (TCO869). No further cases could be linked to this cluster. The index case of the second cluster (TCP057) was a symptomatic traveller from Canada. The healthcare worker (TCP504) who attended the index case without appropriate personal protective equipment developed symptoms on day 5 of attending the index case and tested positive. Later, three family members of TCP504 (TCP745, -746, -747) also tested positive (Fig. 1), but no other contact was found to be positive. All the positive cases were hospitalized, and their contacts were home quarantined for 14 days. The age, sex, history of travel or contact and their symptoms are mentioned in the Table. The median age of the infected patients was 37 yr (age range: 15-72). The majority of the patients (7, 58.3%) were found to be asymptomatic (did not develop any symptom over a 10 day follow up period); four (33.3%) had mild symptoms such as sore throat, body ache or fever and only one (8.3%) had breathlessness. The cyclic threshold values (Ct values) for the E gene of SARS-CoV-2 are shown in the Table. No significant difference was observed among the Ct values of the symptomatic (range: 18.89 to 26.93) and asymptomatic (range: 15.23 to 35.39) patients. The symptomatic cases could be linked to new cases. However, none of the asymptomatic patients could be linked to a new case. Recent studies have observed that the percentage of asymptomatic and symptomatic cases infecting others varied from 0 to 2.2 per cent and 0.8 to 15.4 per cent, respectively67.Table: Demographic and clinical details of the index cases and their contacts demonstrating two clusters and details of whole genome (WG) sequencingClinical samples that formed two different clusters were sequenced using next-generation sequencing at the ICMR-National Institute of Virology, Pune89. The complete genome sequences retrieved from this study were aligned with the SARS-CoV-2 sequences downloaded from the Global Initiative on Sharing All Influenza Data (GISAID) database10. The alignment was done in the CLC Genomics Workbench (Qiagen Aarhus, v11.0, Aarhus C, Denmark), and the tree was generated (Fig. 2) using the MEGA software v7.011 and visualized in the Figtree v1.4.2 (http://tree.bio.ed.ac.uk/software/figtree/).Fig. 2: Phylogenetic tree for the SARS-CoV-2 sequences from India: A phylogenetic tree based on the Kimura-2-parameter model is generated using the MEGA software. A bootstrap replication of 1000 cycles was performed to assess the statistical robustness of the tree generated. The figure is displayed using Figtree v1.4.2. Different clades are marked using colours on branches and taxa. Branch colours: light red colour → A2a clade, pink colour → B4, violet → A1a, green colour → A3. Taxa colour: brown colour → B clade and blue colour → B1 clade, red colour → sequences in this study.The Ct values for the E gene of the seven genomes using real-time RT-PCR ranged from 15.23 to 26.93. The details of Ct values, along with the percentage of relevant reads mapped and genome size recovered, are given in the Table. The phylogenetic analysis of the retrieved sequences demonstrated that the sequences formed two different groups that matched sequences from Italy and Canada. Despite segregating into different groups, the sequences studied clustered in genotype A2a, as observed in the Nextstrain site (https://nextstrain.org/ncov), analyzed for the other Indian SARS-CoV-2 sequences. Further comparison of the amino acid variation between the sequences retrieved in this study demonstrated a single change at N gene. The hCoV-19/TCP-057/India/2020 and hCoV-19/TCP-504/India/2020 had histidine at amino acid position 343, whereas the other sequences had aspartic acid. In conclusion, the present pilot study showed that the majority of the SARS-CoV-2-positive patients were asymptomatic. Chances of asymptomatic cases infecting others were less likely as compared to that of symptomatic cases. The analysis of a larger sample of patients needs to be conducted to confirm this interpretation. Acknowledgment Authors acknowledge the Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare, New Delhi, for providing the testing reagents for real-time RT-PCR. We also acknowledge UP-IDSP Team for performing the contact tracing.

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)0,009
score de la tête « metaresearch » (Gemma)0,018
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,151
Score d'incertitude au seuil0,991

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,018
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
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 Opus0,132
Tête enseignante GPT0,447
Écart entre enseignants0,315 · 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'étudeExpérimental (laboratoire)
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

Citations4
Publié2020
Routes d'admission1
Résumé présentoui

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