- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT04470583
Evaluating Clinical Parameters of COVID-19 in Pregnancy (COpregVID)
Evaluation of Clinical Parameters Following COVID-19 Infection in Pregnancy (COpregVID)
Aperçu de l'étude
Statut
Description détaillée
This study will be a retrospective case review using existing clinical data from participating centres. To date there have already been 18,000 confirmed cases in Greater London. Our study design will aim to include patients who were diagnosed with COVID-19 at the start of the pandemic as well as new and current cases.
The study design requires data to be extracted from National Health Service (NHS) electronic and paper notes, which will contain patient identifiable information. For confidentiality, all patient identifiable data will only be collected by members of the direct care team. This data will be encrypted and stored in a local NHS trust computer at participating sites. In order to maintain confidentiality, all data will then be anonymised before being inputted on a data collection tool and spreadsheet. Therefore, research teams will only be provided with a de-identified dataset. This data will be transferred across to the study co-ordination centre, following NHS information governance rules for data to be compiled and analysed. At the co-ordination centre, this data will be stored in an Imperial College London computer, and will only be accessible to the research team.
Type d'étude
Inscription (Anticipé)
Contacts et emplacements
Lieux d'étude
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London, Royaume-Uni, SW10 9NH
- Recrutement
- Chelsea And Westminster Hospital
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Contact:
- Natasha Singh
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Chercheur principal:
- Nishel Shah, MRCOG, PhD
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London, Royaume-Uni, SW10 9NH
- Recrutement
- Chelsea and Westminster Hospital NHS Foundation Trust
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Contact:
- Natasha Singh, MRCOG; MD
- E-mail: Natasha.Singh@chelwest.nhs.uk
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Chercheur principal:
- Nishel Shah
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Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
Méthode d'échantillonnage
Population étudiée
La description
Inclusion Criteria:
- COVID-19 infection
- 18-50 years for Groups A and B and 18-60 years for Groups C and D
- Female for groups A and B. Both male and female for groups C and D.
Exclusion Criteria:
- Participants who have previously been part of a SARS-CoV-2 vaccine trial.
- Current hospital admission due to another respiratory disease, such as influenza.
- Obvious clinical deterioration due to another medical problem such as cardiovascular disease, diabetes or malignancy.
- Evidence of HIV infection and/or participants on anti-retroviral drug therapy.
- Participants on chemotherapy, biologics, immune-modulators or immunosuppressive drugs (not including intramuscular steroids for fetal lung maturity).
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
Cohortes et interventions
Groupe / Cohorte |
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Mild/moderate COVID-19 affected pregnant and postnatal women
Pregnant and postnatal women who contracted COVID-19 and recovered without the need for ventilation will be classified as mild to moderate.
Participants will be aged between 18-50 years old.
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Severe/Critical COVID-19 affected pregnant and postnatal women
Pregnant and postnatal women who are admitted to hospital after contracting COVID-19 and received ventilatory support before recovering will be classified as severe to critical. Participants will be aged between 18-50 years old. These participants will be identified from Intensive Treatment Unit (ITU), and standard COVID-19 wards. |
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Mild/moderate COVID-19 affected non-pregnant participants
Both male and non-pregnant female participants who contracted COVID-19 and recovered without the need for ventilation will be classified as mild to moderate.
Participants will be aged between 18-60 years old.
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Severe/Critical COVID-19 affected non-pregnant participants
Both male and non-pregnant female participants who are admitted to hospital after contracting COVID-19 and received ventilatory support before recovering will be classified as severe to critical.
Participants will be aged between 18-60 years old.
These participants will be identified from Intensive Treatment Unit (ITU), and standard COVID-19 wards.
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
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Proportions of leukocyte subsets and thrombocytes in pregnant/postnatal and non-pregnant COVID-19 positive women.
Délai: From the start of the study up until one month prior to study end.
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Data collection and analysis on the proportions of leukocyte subsets and thrombocytes in pregnant/postnatal and non-pregnant COVID-19 positive patients during acute infection and recovery.
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From the start of the study up until one month prior to study end.
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Concentrations of other biochemical markers of severity in pregnant and non-pregnant COVID-19 positive women.
Délai: From the start of the study up until one month prior to study end.
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Data collection and analysis on the concentrations of other biochemical markers of severity in pregnant and non-pregnant COVID-19 positive patients during acute infection and recovery.
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From the start of the study up until one month prior to study end.
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Profiling of clinical severity, determined by clinical symptoms and observations in pregnant and non-pregnant COVID-19 positive women.
Délai: From the start of the study up until one month prior to study end.
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Data collection and analysis on profiling of clinical severity, determined by clinical symptoms and observations in pregnant and non-pregnant COVID-19 positive women.
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From the start of the study up until one month prior to study end.
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Collaborateurs et enquêteurs
Les enquêteurs
- Chercheur principal: Nishel Shah, MRCOG, PhD, Chelsea and Westminster Hospital NHS Foundation Trust
Publications et liens utiles
Publications générales
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- Giamarellos-Bourboulis EJ, Netea MG, Rovina N, Akinosoglou K, Antoniadou A, Antonakos N, Damoraki G, Gkavogianni T, Adami ME, Katsaounou P, Ntaganou M, Kyriakopoulou M, Dimopoulos G, Koutsodimitropoulos I, Velissaris D, Koufargyris P, Karageorgos A, Katrini K, Lekakis V, Lupse M, Kotsaki A, Renieris G, Theodoulou D, Panou V, Koukaki E, Koulouris N, Gogos C, Koutsoukou A. Complex Immune Dysregulation in COVID-19 Patients with Severe Respiratory Failure. Cell Host Microbe. 2020 Jun 10;27(6):992-1000.e3. doi: 10.1016/j.chom.2020.04.009. Epub 2020 Apr 21.
- Kong WH, Li Y, Peng MW, Kong DG, Yang XB, Wang L, Liu MQ. SARS-CoV-2 detection in patients with influenza-like illness. Nat Microbiol. 2020 May;5(5):675-678. doi: 10.1038/s41564-020-0713-1. Epub 2020 Apr 7.
- Sahu KK, Mishra AK, Lal A. Coronavirus disease-2019: An update on third coronavirus outbreak of 21st century. QJM. 2020 May 1;113(5):384-386. doi: 10.1093/qjmed/hcaa081. No abstract available.
- Wong SF, Chow KM, Leung TN, Ng WF, Ng TK, Shek CC, Ng PC, Lam PW, Ho LC, To WW, Lai ST, Yan WW, Tan PY. Pregnancy and perinatal outcomes of women with severe acute respiratory syndrome. Am J Obstet Gynecol. 2004 Jul;191(1):292-7. doi: 10.1016/j.ajog.2003.11.019.
- Masters PS. The molecular biology of coronaviruses. Adv Virus Res. 2006;66:193-292. doi: 10.1016/S0065-3527(06)66005-3.
- Yang M, Ng MH, Li CK. Thrombocytopenia in patients with severe acute respiratory syndrome (review). Hematology. 2005 Apr;10(2):101-5. doi: 10.1080/10245330400026170.
- He WQ, Chen SB, Liu XQ, Li YM, Xiao ZL, Zhong NS. [Death risk factors of severe acute respiratory syndrome with acute respiratory distress syndrome]. Zhongguo Wei Zhong Bing Ji Jiu Yi Xue. 2003 Jun;15(6):336-7. Chinese.
- Lippi G, Plebani M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis. Clin Chim Acta. 2020 Jul;506:145-148. doi: 10.1016/j.cca.2020.03.022. Epub 2020 Mar 13.
- Xu P, Zhou Q, Xu J. Mechanism of thrombocytopenia in COVID-19 patients. Ann Hematol. 2020 Jun;99(6):1205-1208. doi: 10.1007/s00277-020-04019-0. Epub 2020 Apr 15.
- Fogarty H, Townsend L, Ni Cheallaigh C, Bergin C, Martin-Loeches I, Browne P, Bacon CL, Gaule R, Gillett A, Byrne M, Ryan K, O'Connell N, O'Sullivan JM, Conlon N, O'Donnell JS. COVID19 coagulopathy in Caucasian patients. Br J Haematol. 2020 Jun;189(6):1044-1049. doi: 10.1111/bjh.16749. Epub 2020 May 17.
- Fan BE, Chong VCL, Chan SSW, Lim GH, Lim KGE, Tan GB, Mucheli SS, Kuperan P, Ong KH. Hematologic parameters in patients with COVID-19 infection. Am J Hematol. 2020 Jun;95(6):E131-E134. doi: 10.1002/ajh.25774. Epub 2020 Mar 19. No abstract available. Erratum In: Am J Hematol. 2020 Nov;95(11):1442.
- Zheng HY, Zhang M, Yang CX, Zhang N, Wang XC, Yang XP, Dong XQ, Zheng YT. Elevated exhaustion levels and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients. Cell Mol Immunol. 2020 May;17(5):541-543. doi: 10.1038/s41423-020-0401-3. Epub 2020 Mar 17. No abstract available.
- LoMauro A, Aliverti A. Respiratory physiology of pregnancy: Physiology masterclass. Breathe (Sheff). 2015 Dec;11(4):297-301. doi: 10.1183/20734735.008615.
- Zollner J, Howe LG, Edey LF, O'Dea KP, Takata M, Gordon F, Leiper J, Johnson MR. The response of the innate immune and cardiovascular systems to LPS in pregnant and nonpregnant mice. Biol Reprod. 2017 Aug 1;97(2):258-272. doi: 10.1093/biolre/iox076.
- Schwartz DA, Graham AL. Potential Maternal and Infant Outcomes from (Wuhan) Coronavirus 2019-nCoV Infecting Pregnant Women: Lessons from SARS, MERS, and Other Human Coronavirus Infections. Viruses. 2020 Feb 10;12(2):194. doi: 10.3390/v12020194.
- Cerbulo-Vazquez A, Figueroa-Damian R, Arriaga-Pizano LA, Hernandez-Andrade E, Mancilla-Herrera I, Flores-Mejia LA, Arteaga-Troncoso G, Lopez-Macias C, Isibasi A, Mancilla-Ramirez J. Pregnant women infected with pandemic H1N1pdm2009 influenza virus displayed overproduction of peripheral blood CD69+ lymphocytes and increased levels of serum cytokines. PLoS One. 2014 Sep 25;9(9):e107900. doi: 10.1371/journal.pone.0107900. eCollection 2014.
- Du RH, Liang LR, Yang CQ, Wang W, Cao TZ, Li M, Guo GY, Du J, Zheng CL, Zhu Q, Hu M, Li XY, Peng P, Shi HZ. Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study. Eur Respir J. 2020 May 7;55(5):2000524. doi: 10.1183/13993003.00524-2020. Print 2020 May. Erratum In: Eur Respir J. 2020 Sep 24;56(3):
- Han Y, Zhang H, Mu S, Wei W, Jin C, Tong C, Song Z, Zha Y, Xue Y, Gu G. Lactate dehydrogenase, an independent risk factor of severe COVID-19 patients: a retrospective and observational study. Aging (Albany NY). 2020 Jun 24;12(12):11245-11258. doi: 10.18632/aging.103372. Epub 2020 Jun 24.
- ICNARC report on COVID-19 in critical care London, UK: Intensive Care National Audit & Research Centre (ICNARC); 2020 04 April 2020.
- Bouch, D. C., & Thompson, J. P. (2008). Severity scoring systems in the critically ill. Continuing Education in Anaesthesia Critical Care & Pain, 8(5), 181-185. https://doi.org/10.1093/bjaceaccp/mkn033
- Zhang G, Hu C, Luo L, Fang F, Chen Y, Li J, Peng Z, Pan H. Clinical features and short-term outcomes of 221 patients with COVID-19 in Wuhan, China. J Clin Virol. 2020 Jun;127:104364. doi: 10.1016/j.jcv.2020.104364. Epub 2020 Apr 9.
- Greer O, Shah NM, Johnson MR. Maternal sepsis update: current management and controversies. The Obstetrician & Gynaecologist. 2020;22(1):45-55.
- Zheng Y, Huang Z, Ying G, Zhang X, Ye W, Hu Z, et al. Study of the lymphocyte change between COVID-19 and non-COVID-19 pneumonia cases suggesting other factors besides uncontrolled inflammation contributed to multi-organ injury. medRxiv. 2020:2020.02.19.20024885.
Liens utiles
- The World Health Organisation's advice and guidance on the coronavirus disease (COVID-19) pandemic
- The UK Government's report on the number of coronavirus (COVID-19) cases and risk in the UK
- The economic consequences of Covid-19 ' an article by Iain Begg, Professor at the London School of Economics and Political Science
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Réel)
Achèvement primaire (Anticipé)
Achèvement de l'étude (Anticipé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Termes MeSH pertinents supplémentaires
- Processus pathologiques
- Infections à Coronaviridae
- Infections à Nidovirales
- Infections par virus à ARN
- Maladies virales
- Infections des voies respiratoires
- Maladies des voies respiratoires
- Pneumonie virale
- Pneumonie
- Maladies pulmonaires
- Attributs de la maladie
- COVID-19 [feminine]
- Infections à coronavirus
- Infections
- Maladies transmissibles
Autres numéros d'identification d'étude
- C&W20/034
- 283995 (Autre identifiant: Integrated Research Application System (IRAS))
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Description du régime IPD
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Étudie un produit d'appareil réglementé par la FDA américaine
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .
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