| Literature DB >> 36013479 |
Ivana Vorgučin1,2, Marijana Savin1,2, Đurđina Stanković1, Dejan Miljković2, Tatjana Ilić3, Danijela Simić4, Mirjana Vrebalov5, Borko Milanović1,2, Nenad Barišić1,2, Vesna Stojanović1,2, Gordana Vijatov-Đurić1,2, Katarina Koprivšek1,2, Gordana Vilotijević-Dautović1,2, Jelena Antić1,2.
Abstract
Background andEntities:
Keywords: COVID-19; Vojvodina; children; diabetic ketoacidosis; incidence; pandemic; type 1 diabetes mellitus
Mesh:
Year: 2022 PMID: 36013479 PMCID: PMC9415410 DOI: 10.3390/medicina58081013
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.948
Incidence rates (per 100,000) of T1DM by gender during 2017–2021 in Vojvodina.
| Year | Females | Males |
|---|---|---|
| 2017 | 4.39 | 6.20 |
| 2018 | 6.45 | 6.71 |
| 2019 | 4.39 | 5.94 |
| 2020 | 3.61 | 4.65 |
| 2021 | 9.03 | 8.26 |
Figure 1Incidence rates (per 100,000) of T1DM during 2017–2021 in Vojvodina.
Figure 2Frequency of new cases of T1DM during 2020–2021 by months.
Figure 3The incidence rate of T1DM and COVID-19 during 2020-2021 by age.
Presenting state at diagnosis by age categories and gender during 2017–2021.
| Compensated | DKA | Total | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mild | Moderate | Severe | Total DKA | |||||||||
| Age (Years) | Pre-COV | COV | Pre-COV | COV | Pre-COV | COV | Pre-COV | COV | Pre-COV | COV | Pre-COV | COV |
| 0–4 | 9 (6.8%) | 10 (10.1%) | 2 (1.5%) | 2 (3.0%) | 2 (1.5%) | 3 (3.0%) | 5 (3.8) | 3 (3.0%) | 9 (6.8%) | 8 (8.2%) | 18 (13.6%) | 18 (18.2%) |
| 5–9 | 34 (25.8%) | 15 (15.2%) | 9 (6.8%) | 4 (4.0%) | 3 (2.3%) | 5 (5.0%) | 4 (3.0%) | 3 (3.0%) | 16 (12.1%) | 12 (12.1%) | 50 (37.9%) | 27 (27.2%) |
| 10–14 | 25 (18.9%) | 24 (24.2%) | 7 (5.3%) | 4 (4.0%) | 3 (2.3%) | 2 (2.1%) | 6 (4.5%) | 7 (7.1%) | 16 (12.1%) | 13 (13.1%) | 41 (31.1%) | 37 (37.4%) |
| 15–19 | 19 (14.4%) | 8 (8.1%) | 1 (0.8%) | 4 (4.0%) | 2 (1.5%) | 3 (3.0%) | 1 (0.8%) | 2 (2.1%) | 4 (3.0%) | 9 (9.1%) | 23 (17.4%) | 17 (17.2%) |
|
| 87 (65.9%) | 57 (57.6%) | 19 (14.4%) | 14 (14.1%) | 10 (7.6%) | 13 (13.1%) | 16 (12.1%) | 15 (15.2%) | 45 (34.1%) | 42 (42.4%) | 132 (100%) | 99 (100%) |
| Gender | ||||||||||||
| Females | 40 (30.3%) | 30 (30.3%) | 12 (19.1%) | 9 (9.%) | 1 (0.8%) | 5 (5.1%) | 6 (4.5%) | 5 (5.1%) | 19 (14.4%) | 19 (19.2%) | 59 (44.7%) | 49 (49.5%) |
| Males | 47 (35.6%) | 27 (27.3%) | 7 (5.3%) | 5 (5.1%) | 9 (6.8%) | 10 (10.1%) | 10 (7.6%) | 10 (10.1%) | 26 (19.7%) | 23 (23.2%) | 73 (55.3%) | 50 (50.5%) |