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      SARS‐CoV‐2 serology in patients on biological therapy or apremilast for psoriasis: a study of 93 patients in the Italian red zone

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          Abstract

          Editor Lombardy, Italy was one of the most heavily impacted areas in the world during the height of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) pandemic, quickly becoming the epicentre within Italy. There have been 845 898 cases reported to date 19 July 2021 within Lombardy, accounting for ~20% of the cases overall in Italy. 1 During the height of the pandemic, concern was raised over the use of biologics for psoriasis as they necessitate some degree of immunomodulation. 2 Herein, we wish to report our real‐world experience with psoriatic patients treated with biological drugs or apremilast during the SARS‐CoV‐2 pandemic at the tertiary level Dermatological Clinic at the IRCCS Policlinico San Matteo Foundation, Pavia, Italy. We conducted serological analysis for SARS‐CoV‐2 seroprevalence levels in relation to patient specific variables (including type of systemic treatment, sex, age, place of work, number of family members). We analysed present comorbidities as a factor for SARS‐CoV‐2 seroprevalence rates. Finally, we used the serological data to determine the usefulness of an over‐the‐phone questionnaire for SARS‐CoV‐2 positivity performed by Brazzelli et al. 3 on the same cohort of psoriatic patients. All patients were over the age of 18, and under systemic therapy with biological drugs or apremilast for psoriasis. Serological data was collected from 93 psoriatic patients (n = 93) during a period from June 2020 to May 2021 using enzyme linked immunosorbent assay for SARS‐CoV‐2 related antibodies. Patient history was retrieved from medical records. The statistical analysis of the data was performed using Stata (Version 1.4). The study protocol was approved by the IRCCS Policlinico San Matteo Foundation, Pavia, Italy (Protocol number: 38152/2020). The parameters and variables analysed in the study are summarised in Table 1. Patients were organised into four functional groups according to the fundamental molecular target of the drug: Anti‐TNF‐α (Etanercept, Infliximab, Adalimumab), Anti‐IL‐12/23 (Ustekinumab, Guselkumab), Anti‐IL‐17 (Secukinumab, Ixekizumab), or Anti‐PDE4 (Apremilast). Table 1 Variables and Parameters Analysed for Psoriatic Patients undergoing therapy with biological drugs or apremilast Parameter Patients (n = 93) Serology (IgG Spike) Positive Negative Sex Male 70 10 60 Female 23 2 21 Age Mean 54 ± 12.4 <60 61 7 54 >60 32 5 27 Type of systemic therapy Anti‐TNF‐a 43 9 34 Anti‐IL‐17 24 3 21 Anti‐IL‐12/23 17 0 17 Anti‐PDE4 9 0 9 Place of Work Retired / work from home 41 5 36 Community / Public work 37 5 32 Office work 15 2 13 Number of family members 1 13 0 13 2 32 5 27 3 27 2 25 4 or more 21 5 16 John Wiley & Sons, Ltd In our sample cohort of 93 patients, 12 were found to have SARS‐CoV‐2 positivity according to anti‐Spike protein IgG levels, corresponding to an incidence rate of 13%. None of the 12 positive patients had a severe infection or required hospitalisation due to SARS‐CoV‐2 infection. In terms of patient‐specific variables, sex, age, place of work, number of family members, and type of systemic therapy did not seem to significantly alter the likelihood of having a positive SARS‐CoV‐2 serology. The most commonly used type of systemic therapy was Anti‐TNF‐α (43% of patients) which also accounted for 9/12 (75%) positive patients. Between the comorbidities analysed (Table 2), only a history of cardiovascular disease was associated with a statistically significant increase in SARS‐CoV‐2 seroprevalence [Odds Ratio (OR) 5.07 P‐value = 0.045 (95% CI 1.03–24.8)]. Table 2 Comorbidities and increased risk factor of incidence rate (IR) for positive SARS‐CoV‐2 Serology COMORBIDITY† Number of patients (% of overall) Positive cases IR increase factor 95% confidence interval P‐value Hypertension 33 (35%) 6 2.00 0.59–6.80 0.266 Obesity 18 (19%) 3 1.47 0.35–6.08 0.598 Dyslipidemia 12 (13%) 1 0.58 0.07–4.93 0.617 Diabetes 10 (11%) 0 1.00 – – Cardiovascular disease 8 (8.6%) 3 5.07 1.03–24.80 0.045 COPD 4 (4.3%) 0 1.00 – – Chronic kidney disease 2 (2.2%) 1 7.27 0.42–125.80 0.171 † Note that cerebrovascular disease and neoplastic disease were also screened for but omitted as 0 of 93 patients had either comorbidity. John Wiley & Sons, Ltd Statistical analysis between serological data and over‐the‐phone questionnaires performed by Brazzelli et al. 3 showed a strong association [OR 9.60 P‐Value = 0.001 (95% CI 2.43–37.9)] between questionnaire positivity and serological positivity. In conclusion, we found an incidence rate of 13%, within the range from the literature for Italy (7.7% 4 –19.7% 5 ). The use of biological drugs and apremilast for psoriasis does not seem to increase severity of the disease or susceptibility to SARS‐CoV‐2 infections, similar to findings from the literature. 6 , 7 Data from our sample cohort suggests that patients with cardiovascular disease may be at an increased risk of contracting SARS‐CoV‐2. Finally, over‐the‐phone questionnaires for SARS‐CoV‐2 positivity are a potentially useful diagnostic tool during the heights of pandemics where in‐person meetings may not be possible. Conflict of interest The authors have no conflicts of interest to declare. Funding source None.

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          SARS-CoV-2 seroprevalence worldwide: a systematic review and meta-analysis

          Background COVID-19 is arguably the most important public health concern in 2020 worldwide, and efforts are now escalating to suppress or eliminate its spread. Objective In this study, we undertook a meta-analysis to estimate the global and regional SARS-CoV-2 seroprevalence rates in humans, and to assess whether seroprevalence associates with geographical, climatic and socio-demographic factors. Data sources We systematically reviewed PubMed, Scopus, Embase, medRxiv and bioRxiv databases for preprints or peer-reviewed articles (up to 14 August 2020). Study eligibility criteria Population-based studies describing the prevalence of anti-SARS-CoV-2 (IgG and/or IgM) serum antibodies. Participants People of different socio-economic and ethnic backgrounds – from the general population – whose prior COVID-19 status was unknown were tested for the presence of anti-SARS-CoV-2 serum antibodies. Interventions There were no interventions. Methods We used a random-effects model to estimate pooled seroprevalence, and then extrapolated the findings to the global population (for 2020). Subgroup and meta-regression analyses explored potential sources of heterogeneity in the data, and relationships between seroprevalence and socio-demographic, geographical and/or climatic factors. Results In total, 47 studies involving 399,265 people from 23 countries met the inclusion criteria. Heterogeneity (I 2 = 99.4%, P < 0.001) was seen among studies; the SARS-CoV-2 seroprevalence in the general population varied from 0.37% to 22.1%, with a pooled estimate of 3.38% (95% CI, 3.05%–3.72%; 15,879/399,265). On a regional level, seroprevalence varied from 1.45% (0.95–1.94%; South America) to 5.27% (3.97–6.57%; Northern Europe, although some variation appeared to relate to the serological assay used. The findings suggested an association of seroprevalence with income levels, human development indices, geographical latitudes and/or climate. Extrapolating to the 2020 world population, we estimated that 263.5 million individuals had been exposed or infected at the time of this study. Conclusion This study showed that SARS-CoV-2 seroprevalence varied markedly among geographic regions, as might be expected early in a pandemic. Longitudinal surveys to continually monitor seroprevalence around the globe will be critical to support prevention and control efforts, and might indicate levels of endemic stability or instability in particular countries and regions. A. Rostami, Clin Microbiol Infect 2020.
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            Should biologics for psoriasis be interrupted in the era of COVID-19?

            To the Editor: With daily media warnings of a looming pandemic, physicians are understandably concerned about immunosuppressive or immunomodulating effects that might render patients receiving biologic therapies more susceptible to COVID-19 infection. At this early stage, we do not have specific data about susceptibility to the virus, but we have data on infectious complications for biologic therapies from their pivotal trials for psoriasis. In Table I , we compare overall infection rates as well as rates of upper respiratory infections and nasopharyngitis for each drug versus its placebo control based on published data from pivotal trials. Table I Rate of infections in available biologic agents for psoriasis, n (%) Class Biologics Infections, overall: biologics/placebo URTI: biologics/placebo Nasopharyngitis: biologics/placebo TNF Etanercept NR 51 (13)/25 (13)† NR Adalimumab 235 (29)/89 (22) 59 (7)/14 (4) 73 (8)/37 (8)∗ Infliximab 125 (42)/30 (40) 135 (15)/41 (14)∗ , † 50 (5)/13 (5)∗ , † Certolizumab 129 (36)/31 (31)∗ , † 24 (7)/5 (5)∗ , † 50 (14)/12 (12)∗ , † IL-12/IL-23 Ustekinumab 326 (25)/150 (23)∗ , † 64 (5)/30 (5)∗ , † 105 (8)/29 (8)∗ , † IL-23 Guselkumab 191 (23)/90 (21)∗ 41 (5)/19 (5)∗ 65 (8)/33 (8)∗ Tildrakizumab NR 25 (2)/9 (3)∗ , † 120 (10)/20 (6)∗ , † Risankizumab 131 (22)/26 (13)∗ 28 (5)/4 (2)∗ NR IL-17 Secukinumab 326 (29)/103 (18)∗ , † 36 (3)/3 (1)∗ , † 125 (11)/45 (8)∗ , † Ixekizumab 381 (26)/74 (21)∗ , † 51 (3)/12 (3)∗ , † 119 (8)/28 (8)∗ , † Brodalumab NR 112 (5)/40 (6)∗ , † 157 (6)/36 (6)∗ , † IL, Interleukin; NR, not reported; TNF, tumor necrosis factor; URTI, upper respiratory tract infection. ∗ Data were collected from 2 pivotal phase 3 trials and are reported as the mean. † Combined doses are reported as the mean. For tumor necrosis factor blockers, during the placebo-controlled periods, overall infections and upper respiratory infections were increased by up to 7% compared with placebo, except for etanercept, which showed no increase. Tumor necrosis factor blockers carry a black box warning concerning infection. Ustekinumab showed a small increase in overall infections but not in respiratory tract infections. Ustekinumab blocks interleukin (IL) 12 and IL-23; IL-12 plays an important role in fighting viral infections. 1 IL-23 blockers showed increases in overall infections of up to 9%, but upper respiratory infections were increased slightly in some trials but not in others. IL-17 blockers showed increases in overall infections of up to 11%, but much of that increase could be accounted for by increases in monilial infections. Upper respiratory infections were increased slightly for secukinumab, but not for ixekizumab or brodalumab. It is difficult to extrapolate from these data to determine susceptibility to coronavirus infection, and this analysis is further flawed by small numbers of infections and short placebo-controlled periods. Moreover, minor respiratory infections may be underreported, and some infections may be reported doubly as upper respiratory infections and as nasopharyngitis. Nonetheless, these data may be used to decide whether to continue biologic therapy during pandemics. We do not know if biologic therapies render patients more susceptible to coronavirus, but we know that in the pre-coronavirus era, respiratory infection rates were comparable to those with placebo. Conversely, discontinuation of some biologics can result in loss of response when treatments are reintroduced or even result in the formation of antibodies to the discontinued biologic.2, 3, 4 All of these factors must be considered when advising patients about continuing or discontinuing biologic therapies.
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              Biologics for psoriasis patients in the COVID-19 era: more evidence, less fears.

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                Author and article information

                Contributors
                vbrazzelli@libero.it
                Journal
                J Eur Acad Dermatol Venereol
                J Eur Acad Dermatol Venereol
                10.1111/(ISSN)1468-3083
                JDV
                Journal of the European Academy of Dermatology and Venereology
                John Wiley and Sons Inc. (Hoboken )
                0926-9959
                1468-3083
                14 October 2021
                14 October 2021
                : 10.1111/jdv.17721
                Affiliations
                [ 1 ] Institute of Dermatology IRCCS Policlinico San Matteo Foundation and University of Pavia Pavia Italy
                [ 2 ] Molecular Virology Unit Department of Microbiology and Virology IRCCS Policlinico San Matteo Foundation Pavia Italy
                [ 3 ] Department of Obstetrics and Gynecology IRCCS Policlinico San Matteo Foundation and University of Pavia Pavia Italy
                [ 4 ] Biochemistry‐Biotechnology and Advanced Diagnostics Laboratory IRCCS Policlinico San Matteo Foundation Pavia Italy
                [ 5 ] Unit of Clinical Epidemiology and Biometrics Scientific Direction IRCCS Policlinico San Matteo Foundation Pavia Italy
                Author notes
                [*] [* ] *Correspondence: V. Brazzelli. E-mails: vbrazzelli@ 123456libero.it ; v.brazzelli@ 123456smatteo.pv.it

                Author information
                https://orcid.org/0000-0001-5898-6448
                Article
                JDV17721
                10.1111/jdv.17721
                8656363
                34606128
                a2d9a546-5a46-4707-b187-6da5f561ad43
                © 2021 European Academy of Dermatology and Venereology

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 12 August 2021
                : 27 September 2021
                Page count
                Figures: 0, Tables: 2, Pages: 2, Words: 2679
                Categories
                Letter to the Editor
                Letters To The Editor
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                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.9 mode:remove_FC converted:09.12.2021

                Dermatology
                Dermatology

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