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1. Antibody Response to ChAdOx1-nCoV-19 Vaccine Among Recipients in Bangladesh: A Prospective Observational Study

Author

Hoque A, Barshan AD, Chowdhury FUH, Fardous J, Hasan MJ, Khan MAS, and Kabir A

Subjects
chadox1-ncov, vaccine, covid-19, bangladesh, antibody response, Infectious and parasitic diseases, RC109-216
Abstract

Ashraful Hoque,1 Anindita Das Barshan,2 Forhad Uddin Hasan Chowdhury,2 Jannatul Fardous,3 Mohammad Jahid Hasan,3 Md Abdullah Saeed Khan,3 Ahmedul Kabir4 1Department of Blood Transfusion, Sheikh Hasina National Institute of Burn and Plastic Surgery, Dhaka, Bangladesh; 2Department of Medicine, Dhaka Medical College Hospital, Dhaka, Bangladesh; 3Tropical Medicine and Infectious Disease Division, Pi Research Consultancy Center, Dhaka, Bangladesh; 4Department of Medicine, Mugda Medical College Hospital, Dhaka, BangladeshCorrespondence: Mohammad Jahid Hasan Email dr.jahid61@gmail.com; jahid@pircc.orgPurpose: The aim of the study was to assess the antibody response to the ChAdOx1-nCoV vaccine in individuals who were not previously infected by COVID-19.Patients and Methods: All people aged 18– 65 years who received their first vaccination with ChAdOx1-nCoV from March to May 2021 were approached for inclusion. Individuals with sufficient antibody titers against SARS-CoV-2 infection before vaccination were considered previously infected and were excluded from the analysis. We observed viral spike protein RBD-S1-specific IgG antibody levels at day 28 of the first dose of vaccination and day 14 of the second dose of vaccination (74 days from index vaccination). An optical density ratio (ODR) of > 1.1 was considered to have a positive antibody response, 0.8 to 1.1 borderline and < 0.8 was denoted as negative. Informed consent was ensured before enrollment, and ethical principles conformed with the current Declaration of Helsinki.Results: This observational study comprised 769 infection-naïve individuals (mean age 40.5 years, 38.9% female). Spike-specific IgG antibody responses elicited after the first and second doses of vaccine were 99.9% and 100%, respectively. The median ODR was 5.43 (interquartile range [IQR]: 4.32– 6.98) and 10.90 (IQR 9.02– 11.90) after the first and second doses. Higher age was associated with lower antibody levels after both dosages. However, no sex-specific variation was seen. People with comorbidity had a lower antibody level after the second dose. Tenderness (51.46%) and fever (19.30%) were the most common local and systemic side effects after vaccination.Conclusion: This study was one of the earlier attempts in the country to assess the antibody response to ChAdOx1-nCoV vaccine recipients. The results imply that general people should be encouraged to take the vaccine at their earliest.Keywords: ChAdOx1-nCoV, vaccine, COVID-19, Bangladesh, antibody response

Published
2021

2. Association between convalescent plasma treatment and mortality in COVID-19: a collaborative systematic review and meta-analysis of randomized clinical trials

Author

Axfors, C, Janiaud, P, Schmitt, AM, Van't Hooft, J, Smith, ER, Haber, NA, Abayomi, A, Abduljalil, M, Abdulrahman, A, Acosta-Ampudia, Y, Aguilar-Guisado, M, Al-Beidh, F, Alejandria, MM, Alfonso, RN, Ali, M, AlQahtani, M, AlZamrooni, A, Anaya, J-M, Ang, MAC, Aomar, IF, Argumanis, LE, Averyanov, A, Baklaushev, VP, Balionis, O, Benfield, T, Berry, S, Birocco, N, Bonifacio, LB, Bowen, AC, Bown, A, Cabello-Gutierrez, C, Camacho, B, Camacho-Ortiz, A, Campbell-Lee, S, Cao, DH, Cardesa, A, Carnate, JM, Castillo, GJJ, Cavallo, R, Chowdhury, FR, Chowdhury, FUH, Ciccone, G, Cingolani, A, Climacosa, FMM, Compernolle, V, Cortez, CFN, Neto, AC, D'Antico, S, Daly, J, Danielle, F, Davis, JS, De Rosa, FG, Denholm, JT, Denkinger, CM, Desmecht, D, Diaz-Coronado, JC, Diaz Ponce-Medrano, JA, Donneau, A-F, Dumagay, TE, Dunachie, S, Dungog, CC, Erinoso, O, Escasa, IMS, Estcourt, LJ, Evans, A, Evasan, ALM, Fareli, CJ, Fernandez-Sanchez, V, Galassi, C, Gallo, JE, Garcia, PJ, Garcia, PL, Garcia, JA, Garigliany, M, Garza-Gonzalez, E, Gauiran, DT, Gaviria Garcia, PA, Giron-Gonzalez, J-A, Gomez-Almaguer, D, Gordon, AC, Gothot, A, Grass Guaqueta, JS, Green, C, Grimaldi, D, Hammond, NE, Harvala, H, Heralde, FM, Herrick, J, Higgins, AM, Hills, TE, Hines, J, Holm, K, Hoque, A, Hoste, E, Ignacio, JM, Ivanov, A, Janssen, M, Jennings, JH, Jha, V, King, RAN, Kjeldsen-Kragh, J, Klenerman, P, Kotecha, A, Krapp, F, Labanca, L, Laing, E, Landin-Olsson, M, Laterre, P-F, Lim, L-L, Lim, J, Ljungquist, O, Llaca-Diaz, JM, Lopez-Robles, C, Lopez-Cardenas, S, Lopez-Plaza, I, Lucero, JAC, Lundgren, M, Macias, J, Maganito, SC, Malundo, AFG, Manrique, RD, Manzini, PM, Marcos, M, Marquez, I, Javier Martinez-Marcos, F, Mata, AM, McArthur, CJ, McQuilten, ZK, McVerry, BJ, Menon, DK, Meyfroidt, G, Mirasol, MAL, Misset, B, Molton, JS, Mondragon, A, Monsalve, DM, Choghakabodi, PM, Morpeth, SC, Mouncey, PR, Moutschen, M, Muller-Tidow, C, Murphy, E, Najdovski, T, Nichol, AD, Nielsen, H, Novak, RM, O'Sullivan, MVN, Olalla, J, Osibogun, A, Osikomaiya, B, Oyonarte, S, Pardo-Oviedo, JM, Patel, MC, Paterson, DL, Pena-Perez, CA, Perez-Calatayud, AA, Perez-Alba, E, Perkina, A, Perry, N, Pouladzadeh, M, Poyato, I, Price, DJ, Quero, AKH, Rahman, MM, Rahman, MS, Ramesh, M, Ramirez-Santana, C, Rasmussen, M, Rees, MA, Rego, E, Roberts, JA, Roberts, DJ, Rodriguez, Y, Rodriguez-Bano, J, Rogers, BA, Rojas, M, Romero, A, Rowan, KM, Saccona, F, Safdarian, M, Santos, MCM, Sasadeusz, J, Scozzari, G, Shankar-Hari, M, Sharma, G, Snelling, T, Soto, A, Tagayuna, PY, Tang, A, Tatem, G, Teofili, L, Tong, SYC, Turgeon, AF, Veloso, JD, Venkatesh, B, Ventura-Enriquez, Y, Webb, SA, Wiese, L, Wiken, C, Wood, EM, Yusubalieva, GM, Zacharowski, K, Zarychanski, R, Khanna, N, Moher, D, Goodman, SN, Ioannidis, JPA, Hemkens, LG, Axfors, C, Janiaud, P, Schmitt, AM, Van't Hooft, J, Smith, ER, Haber, NA, Abayomi, A, Abduljalil, M, Abdulrahman, A, Acosta-Ampudia, Y, Aguilar-Guisado, M, Al-Beidh, F, Alejandria, MM, Alfonso, RN, Ali, M, AlQahtani, M, AlZamrooni, A, Anaya, J-M, Ang, MAC, Aomar, IF, Argumanis, LE, Averyanov, A, Baklaushev, VP, Balionis, O, Benfield, T, Berry, S, Birocco, N, Bonifacio, LB, Bowen, AC, Bown, A, Cabello-Gutierrez, C, Camacho, B, Camacho-Ortiz, A, Campbell-Lee, S, Cao, DH, Cardesa, A, Carnate, JM, Castillo, GJJ, Cavallo, R, Chowdhury, FR, Chowdhury, FUH, Ciccone, G, Cingolani, A, Climacosa, FMM, Compernolle, V, Cortez, CFN, Neto, AC, D'Antico, S, Daly, J, Danielle, F, Davis, JS, De Rosa, FG, Denholm, JT, Denkinger, CM, Desmecht, D, Diaz-Coronado, JC, Diaz Ponce-Medrano, JA, Donneau, A-F, Dumagay, TE, Dunachie, S, Dungog, CC, Erinoso, O, Escasa, IMS, Estcourt, LJ, Evans, A, Evasan, ALM, Fareli, CJ, Fernandez-Sanchez, V, Galassi, C, Gallo, JE, Garcia, PJ, Garcia, PL, Garcia, JA, Garigliany, M, Garza-Gonzalez, E, Gauiran, DT, Gaviria Garcia, PA, Giron-Gonzalez, J-A, Gomez-Almaguer, D, Gordon, AC, Gothot, A, Grass Guaqueta, JS, Green, C, Grimaldi, D, Hammond, NE, Harvala, H, Heralde, FM, Herrick, J, Higgins, AM, Hills, TE, Hines, J, Holm, K, Hoque, A, Hoste, E, Ignacio, JM, Ivanov, A, Janssen, M, Jennings, JH, Jha, V, King, RAN, Kjeldsen-Kragh, J, Klenerman, P, Kotecha, A, Krapp, F, Labanca, L, Laing, E, Landin-Olsson, M, Laterre, P-F, Lim, L-L, Lim, J, Ljungquist, O, Llaca-Diaz, JM, Lopez-Robles, C, Lopez-Cardenas, S, Lopez-Plaza, I, Lucero, JAC, Lundgren, M, Macias, J, Maganito, SC, Malundo, AFG, Manrique, RD, Manzini, PM, Marcos, M, Marquez, I, Javier Martinez-Marcos, F, Mata, AM, McArthur, CJ, McQuilten, ZK, McVerry, BJ, Menon, DK, Meyfroidt, G, Mirasol, MAL, Misset, B, Molton, JS, Mondragon, A, Monsalve, DM, Choghakabodi, PM, Morpeth, SC, Mouncey, PR, Moutschen, M, Muller-Tidow, C, Murphy, E, Najdovski, T, Nichol, AD, Nielsen, H, Novak, RM, O'Sullivan, MVN, Olalla, J, Osibogun, A, Osikomaiya, B, Oyonarte, S, Pardo-Oviedo, JM, Patel, MC, Paterson, DL, Pena-Perez, CA, Perez-Calatayud, AA, Perez-Alba, E, Perkina, A, Perry, N, Pouladzadeh, M, Poyato, I, Price, DJ, Quero, AKH, Rahman, MM, Rahman, MS, Ramesh, M, Ramirez-Santana, C, Rasmussen, M, Rees, MA, Rego, E, Roberts, JA, Roberts, DJ, Rodriguez, Y, Rodriguez-Bano, J, Rogers, BA, Rojas, M, Romero, A, Rowan, KM, Saccona, F, Safdarian, M, Santos, MCM, Sasadeusz, J, Scozzari, G, Shankar-Hari, M, Sharma, G, Snelling, T, Soto, A, Tagayuna, PY, Tang, A, Tatem, G, Teofili, L, Tong, SYC, Turgeon, AF, Veloso, JD, Venkatesh, B, Ventura-Enriquez, Y, Webb, SA, Wiese, L, Wiken, C, Wood, EM, Yusubalieva, GM, Zacharowski, K, Zarychanski, R, Khanna, N, Moher, D, Goodman, SN, Ioannidis, JPA, and Hemkens, LG

Abstract

BACKGROUND: Convalescent plasma has been widely used to treat COVID-19 and is under investigation in numerous randomized clinical trials, but results are publicly available only for a small number of trials. The objective of this study was to assess the benefits of convalescent plasma treatment compared to placebo or no treatment and all-cause mortality in patients with COVID-19, using data from all available randomized clinical trials, including unpublished and ongoing trials (Open Science Framework, https://doi.org/10.17605/OSF.IO/GEHFX ). METHODS: In this collaborative systematic review and meta-analysis, clinical trial registries (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform), the Cochrane COVID-19 register, the LOVE database, and PubMed were searched until April 8, 2021. Investigators of trials registered by March 1, 2021, without published results were contacted via email. Eligible were ongoing, discontinued and completed randomized clinical trials that compared convalescent plasma with placebo or no treatment in COVID-19 patients, regardless of setting or treatment schedule. Aggregated mortality data were extracted from publications or provided by investigators of unpublished trials and combined using the Hartung-Knapp-Sidik-Jonkman random effects model. We investigated the contribution of unpublished trials to the overall evidence. RESULTS: A total of 16,477 patients were included in 33 trials (20 unpublished with 3190 patients, 13 published with 13,287 patients). 32 trials enrolled only hospitalized patients (including 3 with only intensive care unit patients). Risk of bias was low for 29/33 trials. Of 8495 patients who received convalescent plasma, 1997 died (23%), and of 7982 control patients, 1952 died (24%). The combined risk ratio for all-cause mortality was 0.97 (95% confidence interval: 0.92; 1.02) with between-study heterogeneity not beyond chance (I2 = 0%). The RECOVERY trial had 69.8% and the unpublished evidence 25.3% o

Published
2021

3. SLSDeep: Skin lesion segmentation based on dilated residual and pyramid pooling networks

Author

Sarker MMK, Rashwan HA, Akram F, Banu SF, Saleh A, Singh VK, Chowdhury FUH, Abdulwahab S, Romani S, Radeva P, Puig D, and Universitat Rovira i Virgili

Subjects
Administração pública e de empresas, ciências contábeis e turismo, Educação, Linguística e literatura, Skin lesion segmentation melanoma, Ciências ambientais, Deep learning, Interdisciplinar, Dilated residual networks, Engenharias iv, Pyramid pooling, Geociências, Ciência da computação, Arquitetura, urbanismo e design
Abstract

© Springer Nature Switzerland AG 2018. Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model represented as an encoder-decoder network. The encoder network is constructed by dilated residual layers, in turn, a pyramid pooling network followed by three convolution layers is used for the decoder. Unlike the traditional methods employing a cross-entropy loss, we formulated a new loss function by combining both Negative Log Likelihood (NLL) and End Point Error (EPE) to accurately segment the boundaries of melanoma regions. The robustness of the proposed model was evaluated on two public databases: ISBI 2016 and 2017 for skin lesion analysis towards melanoma detection challenge. The proposed model outperforms the state-of-the-art methods in terms of the segmentation accuracy. Moreover, it is capable of segmenting about 100 images of a 384 × 384 size per second on a recent GPU.

Published
2018
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4. Clinical and laboratory comparison of severe (Group B and C) Dengue cases with molecular characterization from 2019 epidemics in Dhaka, Bangladesh.

Author

Chowdhury FR, Hossain Z, Parvez N, Chowdhury FUH, Bari MA, Deb SR, Ayub M, Mallik MU, Aman S, Haque MA, Hossain MA, Alam M, Islam MK, and Rahman MM

Subjects
Humans, Bangladesh epidemiology, Male, Female, Cross-Sectional Studies, Adult, Adolescent, Young Adult, Child, Middle Aged, Dengue epidemiology, Dengue virology, Child, Preschool, Severe Dengue epidemiology, Severe Dengue virology, Serogroup, Phylogeny, Dengue Virus genetics, Dengue Virus classification, Dengue Virus isolation & purification, Epidemics
Abstract

Acute arboviral infections like dengue have a significant negative socioeconomic and health impact on many tropical and subtropical areas of the world. About 3.9 billion Individuals are at risk of contracting the dengue virus and Asia bears the brunt of that load. Bangladesh, like other south-east Asian countries faced a massive outbreak of dengue in 2019. This cross sectional study was done in three tertiary care centers in Dhaka, Bangladesh during this worst outbreak of dengue. The study was conducted from 1st July to 31st December, 2019 with an aim to describe the clinical and laboratory variations among severe dengue cases and to conduct a serotype survey. This might help to understand the future changes in the clinical or serological profile of the circulating dengue virus. The study enrolled 1978 participants who were grouped into group B (Patients with warning signs or risk factors who should be admitted for close observation as they approach critical phase) and C (Patients having severe plasma leakage leading to dengue shock and/or fluid accumulation with respiratory distress, severe organ impairment and severe metabolic abnormalities) according to national guidelines. Furthermore, 81 samples were serotyped using Qiagen One step RT-PCR kit (Cat. No: 210212). In addition sequencing (ABI sequencing platform) of partial C-prM gene of five DENV-3 isolates were done and analyzed (BLAST tool of NCBI) for phylogenetics (MEGA6 software package). Among the 1978 enrolled participants group B and C patients were 1580 (80%) and 398 (20%) respectively. The median (IQR) age of the patients were 26(11 to 41). Maximum proportion of the enrolled were male (72.3%) (p = 0.0002). Most common co- morbidities were hypertension (90; 4.5%) and DM (70; 3.5%). Group C patients more commonly presented with vomiting (p 0.133), diarrhea (p<0.0001) and abdominal pain (p 0.0203). The common mode of bleeding was melaena (12%). Thirteen (0.7%) patients succumbed to death, 12 of them belonged to group B who mostly presented with GI manifestations (99.9%) and melaena (12%). Only 5.6% of the cases were secondarily infected. In group C cases low hemoglobin and hematocrit was observed with high AST (p 0.004, 0.006 and 0.0016 respectively). Fluid requirement was also more in the same group (p<0.0001). Group B patients had a higher platelet requirement (p = 0.0070). Twelve patients (0.7%) required ICU. The management profile of these cases are showcased here which highlights minimal use of antibiotics and no application of steroids, which abides by the current national protocol. Furthermore, 81 samples from enrolled participants were serotyped and majority (79%) yielded DENV-3, followed by DENV 2 & 3 co-infection (13.6%) and DENV-2 alone (7.4%). Following phylogenetic analysis DENV-3 and DENV2 were deemed to be of genotype I and cosmopolitan variety respectively. This study presents the first instance of heterogeneous co-infection with several serotypes since 2000 in Bangladesh. It also gives an overview of serotype prevalence, management evaluation and clinical results that promises to navigate future control planning., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Chowdhury et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2024
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5. Obesity differs from diabetes mellitus in antibody and T-cell responses post-COVID-19 recovery.

Author

Ali M, Longet S, Neale I, Rongkard P, Chowdhury FUH, Hill J, Brown A, Laidlaw S, Tipton T, Hoque A, Hassan N, Hackstein CP, Adele S, Akther HD, Abraham P, Paul S, Rahman MM, Alam MM, Parvin S, Mollah FH, Hoque MM, Moore SC, Biswas SK, Turtle L, de Silva TI, Ogbe A, Frater J, Barnes E, Tomic A, Carroll MW, Klenerman P, Kronsteiner B, Chowdhury FR, and Dunachie SJ

Subjects
Humans, Male, Female, Adult, Cross-Sectional Studies, Middle Aged, CD8-Positive T-Lymphocytes immunology, T-Lymphocytes immunology, Bangladesh, Immunity, Cellular, COVID-19 immunology, COVID-19 complications, Obesity immunology, Obesity complications, SARS-CoV-2 immunology, Antibodies, Viral blood, Antibodies, Viral immunology, Diabetes Mellitus, Type 2 immunology, Antibodies, Neutralizing immunology, Antibodies, Neutralizing blood
Abstract

Objective: Obesity and type 2 diabetes (DM) are risk factors for severe coronavirus disease 2019 (COVID-19) outcomes, which disproportionately affect South Asian populations. This study aims to investigate the humoral and cellular immune responses to SARS-CoV-2 in adult COVID-19 survivors with overweight/obesity (Ov/Ob, BMI ≥ 23 kg/m2) and DM in Bangladesh., Methods: In this cross-sectional study, SARS-CoV-2-specific antibody and T-cell responses were investigated in 63 healthy and 75 PCR-confirmed COVID-19 recovered individuals in Bangladesh, during the pre-vaccination first wave of the COVID-19 pandemic in 2020., Results: In COVID-19 survivors, SARS-CoV-2 infection induced robust antibody and T-cell responses, which correlated with disease severity. After adjusting for age, sex, DM status, disease severity, and time since onset of symptoms, Ov/Ob was associated with decreased neutralizing antibody titers, and increased SARS-CoV-2 spike-specific IFN-γ response along with increased proliferation and IL-2 production by CD8 + T cells. In contrast, DM was not associated with SARS-CoV-2-specific antibody and T-cell responses after adjustment for obesity and other confounders., Conclusion: Ov/Ob is associated with lower neutralizing antibody levels and higher T-cell responses to SARS-CoV-2 post-COVID-19 recovery, while antibody or T-cell responses remain unaltered in DM., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Immunology.)

Published
2024
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6. Association between convalescent plasma treatment and mortality in COVID-19: a collaborative systematic review and meta-analysis of randomized clinical trials.

Author

Axfors C, Janiaud P, Schmitt AM, Van't Hooft J, Smith ER, Haber NA, Abayomi A, Abduljalil M, Abdulrahman A, Acosta-Ampudia Y, Aguilar-Guisado M, Al-Beidh F, Alejandria MM, Alfonso RN, Ali M, AlQahtani M, AlZamrooni A, Anaya JM, Ang MAC, Aomar IF, Argumanis LE, Averyanov A, Baklaushev VP, Balionis O, Benfield T, Berry S, Birocco N, Bonifacio LB, Bowen AC, Bown A, Cabello-Gutierrez C, Camacho B, Camacho-Ortiz A, Campbell-Lee S, Cao DH, Cardesa A, Carnate JM, Castillo GJJ, Cavallo R, Chowdhury FR, Chowdhury FUH, Ciccone G, Cingolani A, Climacosa FMM, Compernolle V, Cortez CFN, Costa Neto A, D'Antico S, Daly J, Danielle F, Davis JS, De Rosa FG, Denholm JT, Denkinger CM, Desmecht D, Díaz-Coronado JC, Díaz Ponce-Medrano JA, Donneau AF, Dumagay TE, Dunachie S, Dungog CC, Erinoso O, Escasa IMS, Estcourt LJ, Evans A, Evasan ALM, Fareli CJ, Fernandez-Sanchez V, Galassi C, Gallo JE, Garcia PJ, Garcia PL, Garcia JA, Garigliany M, Garza-Gonzalez E, Gauiran DTV, Gaviria García PA, Giron-Gonzalez JA, Gómez-Almaguer D, Gordon AC, Gothot A, Grass Guaqueta JS, Green C, Grimaldi D, Hammond NE, Harvala H, Heralde FM, Herrick J, Higgins AM, Hills TE, Hines J, Holm K, Hoque A, Hoste E, Ignacio JM, Ivanov AV, Janssen M, Jennings JH, Jha V, King RAN, Kjeldsen-Kragh J, Klenerman P, Kotecha A, Krapp F, Labanca L, Laing E, Landin-Olsson M, Laterre PF, Lim LL, Lim J, Ljungquist O, Llaca-Díaz JM, López-Robles C, López-Cárdenas S, Lopez-Plaza I, Lucero JAC, Lundgren M, Macías J, Maganito SC, Malundo AFG, Manrique RD, Manzini PM, Marcos M, Marquez I, Martínez-Marcos FJ, Mata AM, McArthur CJ, McQuilten ZK, McVerry BJ, Menon DK, Meyfroidt G, Mirasol MAL, Misset B, Molton JS, Mondragon AV, Monsalve DM, Moradi Choghakabodi P, Morpeth SC, Mouncey PR, Moutschen M, Müller-Tidow C, Murphy E, Najdovski T, Nichol AD, Nielsen H, Novak RM, O'Sullivan MVN, Olalla J, Osibogun A, Osikomaiya B, Oyonarte S, Pardo-Oviedo JM, Patel MC, Paterson DL, Peña-Perez CA, Perez-Calatayud AA, Pérez-Alba E, Perkina A, Perry N, Pouladzadeh M, Poyato I, Price DJ, Quero AKH, Rahman MM, Rahman MS, Ramesh M, Ramírez-Santana C, Rasmussen M, Rees MA, Rego E, Roberts JA, Roberts DJ, Rodríguez Y, Rodríguez-Baño J, Rogers BA, Rojas M, Romero A, Rowan KM, Saccona F, Safdarian M, Santos MCM, Sasadeusz J, Scozzari G, Shankar-Hari M, Sharma G, Snelling T, Soto A, Tagayuna PY, Tang A, Tatem G, Teofili L, Tong SYC, Turgeon AF, Veloso JD, Venkatesh B, Ventura-Enriquez Y, Webb SA, Wiese L, Wikén C, Wood EM, Yusubalieva GM, Zacharowski K, Zarychanski R, Khanna N, Moher D, Goodman SN, Ioannidis JPA, and Hemkens LG

Subjects
Humans, Immunization, Passive, Randomized Controlled Trials as Topic, SARS-CoV-2, Treatment Outcome, COVID-19 Serotherapy, COVID-19 therapy
Abstract

Background: Convalescent plasma has been widely used to treat COVID-19 and is under investigation in numerous randomized clinical trials, but results are publicly available only for a small number of trials. The objective of this study was to assess the benefits of convalescent plasma treatment compared to placebo or no treatment and all-cause mortality in patients with COVID-19, using data from all available randomized clinical trials, including unpublished and ongoing trials (Open Science Framework, https://doi.org/10.17605/OSF.IO/GEHFX )., Methods: In this collaborative systematic review and meta-analysis, clinical trial registries (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform), the Cochrane COVID-19 register, the LOVE database, and PubMed were searched until April 8, 2021. Investigators of trials registered by March 1, 2021, without published results were contacted via email. Eligible were ongoing, discontinued and completed randomized clinical trials that compared convalescent plasma with placebo or no treatment in COVID-19 patients, regardless of setting or treatment schedule. Aggregated mortality data were extracted from publications or provided by investigators of unpublished trials and combined using the Hartung-Knapp-Sidik-Jonkman random effects model. We investigated the contribution of unpublished trials to the overall evidence., Results: A total of 16,477 patients were included in 33 trials (20 unpublished with 3190 patients, 13 published with 13,287 patients). 32 trials enrolled only hospitalized patients (including 3 with only intensive care unit patients). Risk of bias was low for 29/33 trials. Of 8495 patients who received convalescent plasma, 1997 died (23%), and of 7982 control patients, 1952 died (24%). The combined risk ratio for all-cause mortality was 0.97 (95% confidence interval: 0.92; 1.02) with between-study heterogeneity not beyond chance (I 2  = 0%). The RECOVERY trial had 69.8% and the unpublished evidence 25.3% of the weight in the meta-analysis., Conclusions: Convalescent plasma treatment of patients with COVID-19 did not reduce all-cause mortality. These results provide strong evidence that convalescent plasma treatment for patients with COVID-19 should not be used outside of randomized trials. Evidence synthesis from collaborations among trial investigators can inform both evidence generation and evidence application in patient care., (© 2021. The Author(s).)

Published
2021
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7. A Middle-Aged Man Presented with Quadriparesis during COVID-19 Pandemic.

Author

Chowdhury FUH, Paul S, Aman S, Haque A, Rafiquzzaman M, Rahman M, and Chowdhury FR

Abstract

The clinical presentation of COVID-19 is varied: from asymptomatic to severe neurological syndrome like stroke can happen. Guillain-Barré syndrome (GBS) as a manifestation of COVID-19 is not very common. GBS is an acute immune-mediated polyradiculoneuropathy that usually occurs following previous exposure to infection. Here, we are reporting a case of GBS related to COVID-19 infection. The reported case presented with quadriparesis and was diagnosed with GBS after evaluation. At the same time, his RT-PCR for COVID-19 was also positive. Interestingly, this patient suffered from COVID-19 2 months before this presentation. He was successfully treated with intravenous immunoglobulin. The clinician should be aware of severe neurological complications such as GBS as a potentially life-threatening complication related to COVID-19., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this study., (Copyright © 2021 by S. Karger AG, Basel.)

Published
2021
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8. Convalescent plasma transfusion therapy in severe COVID-19 patients- a safety, efficacy and dose response study: A structured summary of a study protocol of a phase II randomized controlled trial.

Author

Chowdhury FR, Hoque A, Chowdhury FUH, Amin MR, Rahim A, Rahman MM, Yasmin R, Amin MR, Miah MT, Kalam MA, and Rahman MS

Subjects
Bangladesh epidemiology, COVID-19, Coronavirus Infections epidemiology, Coronavirus Infections virology, Dose-Response Relationship, Immunologic, Female, Hospital Mortality trends, Humans, Immunization, Passive adverse effects, Immunization, Passive methods, Male, Pandemics, Patient Discharge statistics & numerical data, Pneumonia, Viral epidemiology, Pneumonia, Viral virology, SARS-CoV-2, Safety, Severity of Illness Index, Time Factors, Treatment Outcome, Ventilators, Mechanical statistics & numerical data, COVID-19 Serotherapy, Betacoronavirus genetics, Blood Transfusion methods, Coronavirus Infections therapy, Pneumonia, Viral therapy
Abstract

Objectives: General: To assess the safety, efficacy and dose response of convalescent plasma (CP) transfusion in severe COVID-19 patients Specific: a. To identify the appropriate effective dose of CP therapy in severe patients b. To identify the efficacy of the therapy with their end point based on clinical improvement within seven days of treatment or until discharge whichever is later and in-hospital mortality c. To assess the clinical improvement after CP transfusion in severe COVID-19 patients d. To assess the laboratory improvement after CP transfusion in severe COVID-19 patients TRIAL DESIGN: This is a multicentre, multi-arm phase II Randomised Controlled Trial., Participants: Age and sex matched COVID-19 positive (by RT-PCR) severe cases will be enrolled in this trial. Severe case is defined by the World Health Organization (W.H.O) clinical case definition. The inclusion criteria are 1. Respiratory rate > 30 breaths/min; PLUS 2. Severe respiratory distress; or SpO2 ≤ 88% on room air or PaO2/FiO2≤ 300 mm of Hg, PLUS 3. Radiological (X-ray or CT scan) evidence of bilateral lung infiltrate, AND OR 4. Systolic BP < 90 mm of Hg or diastolic BP <60 mm of Hg. AND/OR 5. Criteria 1 to 4 AND or patient in ventilator support Patients' below18 years, pregnant and lactating women, previous history of allergic reaction to plasma, patients who have already received plasma from a different source will be excluded. Patients will be enrolled at Bangabandhu Sheikh Mujib Medical University (BSMMU) hospital, Dhaka medical college hospital (DMCH) and Mugda medical college hospital (MuMCH). Apheretic plasma will be collected at the transfusion medicine department of SHNIBPS hospital, ELISA antibody titre will be done at BSMMU and CMBT and neutralizing antibody titre will be checked in collaboration with the University of Oxford. Patients who have recovered from COVID-19 will be recruited as donors of CP. The recovery criteria are normality of body temperature for more than 3 days, resolution of respiratory symptoms, two consecutively negative results of sputum SARS-CoV-2 by RT-PCR assay (at least 24 hours apart) 22 to 35 days of post onset period, and neutralizing antibody titre ≥ 1:160., Intervention and Comparator: This RCT consists of three arms, a. standard care, b. standard care and 200 ml CP and c. standard care and 400 ml CP. Patients will receive plasma as a single transfusion. Intervention arms will be compared to the standard care arm., Main Outcomes: The primary outcome will be time to clinical improvement within seven days of treatment or until discharge whichever is later and in-hospital mortality. The secondary outcome would be improvement of laboratory parameters after therapy (neutrophil, lymphocyte ratio, CRP, serum ferritin, SGPT, SGOT, serum creatinine and radiology), length of hospital stay, length of ICU stay, reduction in proportion of deaths, requirement of ventilator and duration of oxygen and ventilator support., Randomisation: Randomization will be done by someone not associated with the care or assessment of the patients by means of a computer generated random number table using an allocation ratio of 1:1:1., Blinding (masking): This is an open level study; neither the physician nor the patients will be blinded. However, the primary and secondary outcome (oxygen saturations, PaO2/FiO2, BP, day specific laboratory tests) will be recorded using an objective automated method; the study staff will not be able to influence the recording of these data., Number to Be Randomised (sample Size): No similar study has been performed previously. Therefore no data are available that could be used to generate a sample size calculation. This phase II study is required to provide some initial data on efficacy and safety that will allow design of a larger study. The trial will recruit 60 participants (20 in each arm)., Trial Status: Protocol version 1.4 dated May 5, 2020 and amended version 1.5, dated June 16, 2020. First case was recruited on May 27, 2020. By August 10, 2020, the trial had recruited one-third (21 out of 60) of the participants. The recruitment is expected to finish by October 31, 2020., Trial Registration: Clinicaltrials.gov ID: NCT04403477 . Registered 26 May, 2020 FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trial's website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this letter serves as a summary of the key elements of the full protocol.

Published
2020
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