| Literature DB >> 35330170 |
Massimo Franchini1, Claudia Glingani1, Giuseppe De Donno2, Giuseppe Lucchini3, Massimiliano Beccaria2, Massimo Amato4, Gian Paolo Castelli5, Leonardo Bianciardi6, Mauro Pagani7, Marco Ghirardini8, Giuseppe Puma9, Barbara Presciuttini7, Maria Teresa Costantino10, Marilena Frigato10, Verena Crosato11, Giorgio Tiecco11, Alice Mulè11, Dorothea Angela Papalia11, Francesco Inglese2, Fabio Spreafico2, Martina Garuti2, Antonietta Pecoriello2, Giulia Cervi2, Graziana Greco2, Vanni Galavotti2, Tiziana Santini8, Angela Berselli5, Carlo Montalto5, Riccardo Bertoletti12, Simona Aurelia Bellometti12, Enrico Capuzzo1, Dario Benazzi4, Gianpaolo Grisolia13, Fabio Pajola12, Raffaello Stradoni14, Matteo Zani1, Adriano Verzola15, Vito Codeluppi16, Silvia Vesentini16, Elisa Bellocchio16, Marco Candini16, Giorgina Ambrosi16, Francesca Carandina16, Cleante Scarduelli17, Albino Reggiani18, Salvatore Casari9.
Abstract
In Winter 2020, Italy, and in particular the Lombardy region, was the first country in the Western hemisphere to be hit by the COVID-19 pandemic. Plasma from individuals recovered from COVID-19 (COVID-19 convalescent plasma, CCP) was the first therapeutic tool adopted to counteract the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). In this retrospective cohort study, we report the experience of the city hospital of Mantua, Lombardy region, on the compassionate use of CCP in patients hospitalized for severe COVID-19. Between April 2020 and April 2021, 405 consecutive COVID-19 patients received 657 CCP units with a median anti-SARS-CoV-2 neutralizing antibody (nAb) titer of 160 (interquartile range (IQR), 80-320). Their median age was 68 years (IQR, 56-78 years), and 62% were males. At enrollment, 55% of patients had an increased body mass index (BMI), and 25.6% had at least three comorbidities. The 28-day crude mortality rate was 12.6% (51/405). Young age (<68 years), mild disease (admission to low-intensity departments) and early treatment (<7 days from symptoms onset) with high nAb titer (≥320) CCP were found as independently associated with a favorable response to CCP treatment. No safety concerns were recorded, with a rate of CCP-related adverse reactions (all of mild intensity) of 1.3%. In our real-life experience, the first in the western world, early administration of high-titer CCP was a safe and effective treatment for hospitalized COVID-19 patients.Entities:
Keywords: COVID-19; convalescent plasma; mortality; safety
Year: 2022 PMID: 35330170 PMCID: PMC8950373 DOI: 10.3390/life12030420
Source DB: PubMed Journal: Life (Basel) ISSN: 2075-1729
Demographic and clinical characteristics of the 405 patients enrolled in the study.
| Parameters | Results |
|---|---|
| Median age, years (IQR) | 68 (56–78) |
| Males/females | 251/154 |
| Male/female ratio | 1.6 |
| Median BMI (kg/m2) (IQR) | 25.7 (23.4–31.0) |
| BMI (kg/m2), n (%) 1 | |
| - Normal (18.5–24.9) | 125 (45.0) |
| - Overweight (25.0–29.9) | 71 (25.5) |
| - Grade 1 obesity (30.0–34.9) | 51 (18.3) |
| - Grade 2 obesity (35–39.9) | 23 (8.3) |
| - Grade 3 obesity (>40) | 8 (2.9) |
| Associated comorbidities, n (%) 2 | |
| - Hypertension | 184 (56.8) |
| - Dyslipidemia | 107 (33.0) |
| - Cardiovascular disease | 96 (29.6) |
| - Diabetes | 70 (21.6) |
| - Chronic lung disease | 38 (11.7) |
| - Cancer | 33 (10.2) |
| - Chronic kidney disease | 31 (9.6) |
| - <3 comorbidities | 241 (74.4) |
| - >3 comorbidities | 83 (25.6) |
| COVID-19 severity, n (%) | |
| - PaO2/FiO2 3 | |
| > 200–300 | 76 (18.8) |
| 100–200 | 281 (69.4) |
| < 100 | 48 (11.8) |
| - Hospital department | |
| Low intensity | 281 (69.4) |
| Intermediate/high intensity | 124 (30.6) |
| Concomitant therapies, n (%) | |
| - Antiviral agents 4 | 84 (20.7) |
| - Antibiotics | 264 (65.2) |
| - Hydroxychloroquine | 52 (12.8) |
| - Steroids | 332 (82.0) |
| - Anticoagulants 5 | 388 (95.8) |
| Median interval between symptoms | 7.5 (5–12) |
| ABO blood type, n (%) | |
| - O | 158 (39.0) |
| - A | 188 (46.4) |
| - B | 44 (10.9) |
| - AB | 15 (3.7) |
Abbreviations: IQR, interquartile range; BMI, body mass index; CCP, COVID-19 convalescent plasma. 1 Data available on 278 patients. 2 Data available on 324 patients. 3 Measured before convalescent plasma transfusion. 4 Protease inhibitors and remdesivir. 5 Low molecular weight heparin.
Figure 1Flowchart of patients’ enrollment.
Subgroup analysis between CCP-treated patients alive and died.
| Parameters | Alive | Died |
|
|---|---|---|---|
| Median age, | 66 | 77 | <0.001 |
| Sex (males/females), | 218/136 | 33/18 | NS |
| Median BMI (kg/m2) | 24.7 | 31.1 | <0.001 |
| Comorbidities, n (%) | |||
| PaO2/FiO2, | 169.5 | 92.0 | < 0.001 |
| PaO2/FiO2, n (%) 1 | |||
| Hospital department, n (%) | |||
| ABO blood type, n (%) | |||
| Days between symptoms onset and CCP therapy, median (IQR) | 7 (4–10) | 16 (11–29.5) | <0.001 |
| Days between symptoms onset and CCP therapy | |||
| Days between symptoms onset and CCP therapy | |||
| CCP units transfused, | 1.6 | 1.7 | NS |
| CCP neutralizing titer, | 227.2 | 179.6 | 0.04 |
| CCP neutralizing titer | |||
| CCP neutralizing titer |
Abbreviations: NS, not significant; CCP, COVID-19 convalescent plasma; BMI, body mass index; SD, standard deviation. 1 Measured before convalescent plasma transfusion.
Logistic regression predicting likelihood of death based on age, days between symptoms onset and CCP transfusion, intensity of hospital department and CCP neutralizing titer.
| B | SE | Wald | df |
| OR | 95% CI | ||
|---|---|---|---|---|---|---|---|---|
| Sex | −0.052 | 0.338 | 0.023 | 1 | 0.879 | 0.950 | 0.490 | 1.841 |
| Age (≥68 years) | 1.239 | 0.355 | 12.215 | 1 | 0.000 | 3.452 | 1.723 | 6.916 |
| Days between symptoms onset and CCP transfusion | 1.589 | 0.496 | 10.260 | 1 | 0.001 | 4.897 | 1.853 | 12.945 |
| Intensity of hospital department (high) | 1.115 | 0.336 | 11.046 | 1 | 0.001 | 3.051 | 1.580 | 5.890 |
| CCP neutralizing titer (≥320) | −0.829 | 0.412 | 4.052 | 1 | 0.044 | 0.437 | 0.195 | .978 |
| Constant | −4.141 | 0.590 | 49.246 | 1 | 0.000 | 0.016 | ||
Abbreviations: OR, odds ratio; df, degrees of freedom; SE, standard error; CI, confidence interval.