| Literature DB >> 35976441 |
Benedetta Chiodini1, Anita Sofia Bellotti2, Khalid Ismaili3, Karl Martin Wissing4, William Morello2, Chiara Bulgaro2, Ilaria Farella5, Mario Giordano5, Giovanni Montini2.
Abstract
BACKGROUND: Viral upper respiratory tract infections trigger nephrotic syndrome relapses. Few data exist on the impact of the SARS-CoV-2 pandemic on the risk of relapse in children with idiopathic nephrotic syndrome (INS).Entities:
Keywords: COVID-19; Children; Idiopathic nephrotic syndrome; Relapse; SARS-CoV-2 infection
Year: 2022 PMID: 35976441 PMCID: PMC9383657 DOI: 10.1007/s00467-022-05702-2
Source DB: PubMed Journal: Pediatr Nephrol ISSN: 0931-041X Impact factor: 3.651
Fig. 1Study flow diagram
Fig. 2For patients diagnosed with INS before January 1, 2015, the PRECOVID period was considered as the entire period from January 1, 2015, to December 14, 2020. For patients diagnosed with INS after January 1, 2015, the PRECOVID period was considered as the period from the first day of their first remission to December 14, 2020
Fig. 3Daily COVID-19 cases in Italy and Belgium during the first COVID period (from February 15 to May 31, 2020), the second COVID period (from June 1 to September 14, 2020), and third COVID period (from September 15 to December 31, 2020)
Characteristics of the patients included and their treatment in the three COVID periods
| All patients | Group BXL | Group MI | Group BA | ||
|---|---|---|---|---|---|
| Patients ( | 218 (100%) | 43 (19.7%) | 140 (64.2%) | 35 (16.1%) | |
| Age at diagnosis in years, median (IQ) | 3.36 (2.4–5.4) | 2.9 (2.3–4.1) | 3.37 (2.3–5.5) | 4.4 (2.7–6.5) | 0.12 |
| Gender | 0.58 | ||||
| Males ( | 140 (64.2%) | 26 (60.5%) | 89 (63.6%) | 25 (71.4%) | |
| Females ( | 78 (35.8%) | 17 (39.5%) | 51 (36.4%) | 10 (28.6%) | |
| Treatment during COVID period 1 ( | < 0.001 | ||||
| NO | 53 (24.3%) | 3 (7%) | 48 (34.2%) | 2 (5.7%) | |
| Oral | 132 (60.5%) | 36 (83.7%) | 82 (58.6%) | 14 (40%) | |
| Anti-CD 20 (rituximab) | 15 (6.9%) | 1 (2.3%) | 1 (0.7%) | 13 (37.4%) | |
| Oral and anti-CD 20 | 2 (0.9%) | 2 (4.7%) | 0 (0%) | 0 (0%) | |
| NA | 16 (7.3%) | 1 (2.3%) | 9 (6.4%) | 6 (17.14%) | |
| Treatment during COVID period 2 ( | < 0.001 | ||||
| NO | 55 (25.2%) | 5 (11.6%) | 47 (33.6%) | 3 (8.6%) | |
| Oral | 139 (63.8%) | 35 (81.4%) | 86 (61.4%) | 18 (51.4%) | |
| Anti-CD 20 (rituximab) | 16 (7.3%) | 0 (0%) | 2 (1.4%) | 14 (40%) | |
| Oral and anti-CD 20 | 2 (0.9%) | 2 (4.7%) | 0 (0%) | 0 (0%) | |
| NA | 6 (2.8%) | 1 (2.3%) | 5 (3.6%) | 0 (0%) | |
| Treatment during COVID period 3 (N, %) | < 0.001 | ||||
| NO | 60 (27.5%) | 5 (11.6%) | 50 (35.7%) | 5 (14.3%) | |
| Oral | 139 (63.8%) | 33 (76.7%) | 89 (63.6%) | 17 (48.6%) | |
| Anti-CD 20 (rituximab) | 13 (6.0%) | 0 (0%) | 0 (0%) | 13 (37.1%) | |
| Oral and anti-CD 20 | 5 (2.3%) | 5 (11.6%) | 0 (0%) | 0 (0%) | |
| NA | 1 (0.5%) | 0 (0%) | 1 (0.7%) | 0 (0%) |
Oral, steroids, and/or calcineurin inhibitors and/or mycophenolic acid; anti CD-20, humanized monoclonal antibody against CD-20 (rituximab); NA, information not available
1P value for null hypothesis of no difference between the three centers
2Tested by one-way ANOVA for age at diagnosis. All other hypothesis tests done with Fisher’s exact test
Incidence rate of proteinuria relapse per 1000 days at risk during the PRECOVID period and in the three COVID periods
| Period | Number of patients | Period at risk for proteinuria; (median IQR) | Total days at risk | Number of relapses | Duration of relapse in days; (median IQR) | Incidence rate of relapses (/1000 pd (95% CI)) | IRR (95% CI)1 | |
|---|---|---|---|---|---|---|---|---|
| PRECOVID period | 189 | 1318 (549–1777) | 216,069 | 695 | 11.3 (7.3–16) | 3.2 (3 to 3.5) | Ref | |
| 1st COVID period | 203 | 106 (102–106) | 19,995 | 53 | 9.5 (6–15) | 2.7 (2 to 3.5) | 0.79 (0.60 to 1.05) | 0.11 |
| 2nd COVID period | 212 | 105 (98.5–105) | 21,198 | 70 | 8 (6.5–12) | 3.3 (2.6 to 4.1) | 0.98 (0.76 to 1.26) | 0.88 |
| 3rd COVID period | 218 | 107 (101–107) | 22,330 | 68 | 8.8 (6.5–12) | 3.0 (2.4 to 3.9) | 0.90 (0.70 to 1.16) | 0.42 |
| COVID period (total) | 218 | 312.5 (298–318) | 63,037 | 191 | 9 (7–14) | 3.0 (2.6 to 3.5) | 0.90 (0.76 to 1.06) | 0.21 |
Incidence rate ratio calculated with random-intercept Poisson regression with patient id as cluster variable with the corresponding P value for the null hypothesis of no difference in incidence rates between the PRECOVID period (reference), the three COVID periods, and the total COVID period
Number of patients with hospitalization and number of hospitalization episodes during 2019 and 2020
| Year | IRR (95%CI)4 | |||||
|---|---|---|---|---|---|---|
| Total hospitalizations | 2019 | 40/210 (19.1%) | 47/210 0.22 (0.17 to 0.30) | Ref | ||
| 2020 | 53/218 (24.1%) | 0.45 | 71/218 0.33 (0.26 to 0.41) | 1.44 (0.99 to 2.08) | 0.054 | |
| Hospitalizations for recurrence | 2019 | 16/210 (7.6%) | 20/210 0.10 (0.06 to 0.14) | Ref | ||
| 2020 | 31/218 (14.2%) | 0.03 | 41/218 0.18 (0.14 to 0.26) | 1.97 (1.35 to 2.88) | 0.013 |
1Number of patients with at least one hospitalization during the year
2P value of McNemar’s test for paired categorical data
3Number of hospitalization episodes during the year of follow-up. The incidence rate (IR) is expressed per year follow-up
4Incidence rate ratio calculated with random-coefficient Poisson regression with patient id as cluster variable with the corresponding P value for the null hypothesis of no difference in incidence rates between the year 2019 and 2020