| Literature DB >> 35110084 |
Sophie Degiorgio1, Neil Grech2, Yana Marie Dimech1, John Xuereb1, Victor Grech1.
Abstract
OBJECTIVE: This population-based, retrospective study aimed to determine whether there was a drop in pediatric admissions during the first year of COVID-19 in Malta, as reported in other centers worldwide, as well as to determine any differences in patient characteristics when compared to the previous year.Entities:
Year: 2022 PMID: 35110084 PMCID: PMC8867502 DOI: 10.5152/TurkArchPediatr.2022.21145
Source DB: PubMed Journal: Turk Arch Pediatr ISSN: 2757-6256
Figure 1.Histogram demonstrating monthly acute pediatric medical admissions during the study (March 1, 2020 to February 28, 2021) and control period (March 1, 2019 to February 29, 2020).
Characteristics of Patient Admissions During the First COVID-19 Wave
| 2019 | 2020 |
| |
|---|---|---|---|
| Gender, n (%) | |||
| Female | 318 (43.6) | 133 (50) | .074 |
| Male | 411 (56.4) | 133 (50) | |
| Age groups, n (%) | 2019 | 2020 | |
| 0 to 28 days (1 month) | 28 (3.8) | 24 (9.0) | .001 |
| All other ages | 701 (96.2) | 242 (91.0) | |
| 1 month to 2 years | 424 (58.2) | 133 (50.0) | .022 |
| All other ages | 305 (41.8) | 133 (50.0) | |
| 2 to 12 years | 222 (30.5) | 83 (31.2) | .820 |
| All other ages | 507 (69.5) | 183 (68.8) | |
| 12 to 16 years | 55 (7.5) | 26 (9.8) | .255 |
| All other ages | 674 (92.5) | 240 (90.2) | |
| Source of admission, n (%) | |||
| A&E | 696 (95.5) | 241 (90.6) | .004 |
| All others | 33 (4.5) | 25 (9.4) | |
| GGH | 0 (0) | 1 (0.4) | .267* |
| All others | 729 (100) | 265 (99.6) | |
| Direct admission | 23 (3.2) | 21 (7.9) | .001 |
| All others | 706 (96.8) | 245 (92.1) | |
| Ward attender/walk-In | 10 (1.4) | 3 (1.1) | 1.000* |
| All others | 719 (98.6) | 263 (98.9) | |
| Past medical history, n (%) | |||
| Preterm | 29 (4.0) | 11 (4.1) | .911 |
| Not preterm | 700 (96.0) | 255 (95.9) | |
| Congenital heart disease | 21 (2.9) | 7 (2.6) | .833 |
| No congenital heart disease | 708 (97.1) | 259 (97.4) | |
| Cerebral palsy | 10 (1.4) | 3 (1.1) | .764 |
| No cerebral palsy | 719 (98.6) | 263 (98.9) | |
| Epilepsy | 17 (2.3) | 9 (3.4) | .357 |
| No epilepsy | 712 (97.7) | 257 (96.6) | |
| Psychiatric history | 11 (1.5) | 6 (2.3) | .421 |
| No psychiatric history | 718 (98.5) | 260 (97.7) | |
| Trisomy 21 | 12 (1.6) | 1 (0.4) | .118 |
| Non-trisomy 21 | 717 (98.4) | 265 (99.6) | |
| Malignancy | 3 (0.4) | 1 (0.4) | 1.000* |
| No malignancy | 726 (99.6) | 265 (99.6) | |
| Asthma/wheeze | 59 (8.1) | 14 (5.3) | .130 |
| No asthma/wheeze | 670 (91.9) | 252 (94.7) | |
| Reason for admission, n (%) | |||
| Cardiology | 19 (2.6) | 12 (4.5) | .126 |
| All others | 710 (97.4) | 254 (95.5) | |
| Respiratory and allergy | 346 (47.5) | 84 (31.6) | <.001 |
| All others | 383 (52.5) | 182 (68.4) | |
| Gastroenterology | 88 (12.1) | 40 (15.0) | .216 |
| All others | 641 (87.9) | 226 (85.0) | |
| Endocrinology | 12 (1.6) | 6 (2.3) | .523 |
| All others | 717 (98.4) | 260 (97.7) | |
| Neurology | 77 (10.6) | 35 (13.2) | .252 |
| All others | 652 (89.4) | 231 (86.8) | |
| Nephrology | 22 (3.0) | 13 (4.9) | .157 |
| All others | 707 (97.0) | 253 (95.1) | |
| Dermatology | 15 (2.1) | 4 (1.5) | .572 |
| All others | 714 (97.9) | 262 (98.5) | |
| Neonatology | 38 (5.2) | 21 (7.9) | .113 |
| All others | 691 (94.8) | 245 (9.2) | |
| Hematology and oncology | 8 (1.1) | 4 (1.5) | .743* |
| All others | 721 (98.9) | 262 (98.5) | |
| Infectious disease | 82 (11.2) | 27 (10.2) | .624 |
| All others | 647 (88.8) | 239 (89.8) | |
| Child abuse and social cases | 1 (0.1) | 9 (3.4) | <.001 |
| All others | 728 (99.9) | 257 (96.6) | |
| Othersa | 21 (2.9) | 11 (4.1) | .321 |
| All others | 708 (97.1) | 255 (95.9) | |
| Infectivity post-school closures, n (%) | |||
| Communicable | 421 (70.3) | 68 (42.2) | <.001 |
| Non-communicable | 178 (29.7) | 93 (57.8) |
COVID-19, coronavirus disease 2019; NS, not significant; A&E, accident and emergency; GGH, Gozo General Hospital. *Fisher’s exact test. All other analyses were performed using Chi-squared test. aIncludes psychiatric admissions and non-specific or unknown diagnoses.
Median Length of Hospital Stay and Time of Onset of Symptoms to Hospital Presentation During the First COVID-19 Wave
| 2019 | 2020 |
| |
|---|---|---|---|
| Median (IQR) length of stay (days) | 3 (2) | 3 (2) | .128 |
| Median (IQR) time of onset of symptoms to hospital presentation (hours) | 48 (96) | 72 (96) | .389 |
COVID-19, coronavirus disease 2019; NS, not significant. Analysis performed using Mann–Whitney U test.
Further Comparison of Characteristics During the First COVID-19 Wave
| 2019 | 2020 |
| |
|---|---|---|---|
| CXR performed, n (%) | |||
| Yes | 353 (48.4) | 82 (30.8) | <.001 |
| No | 376 (51.6) | 184 (69.2) | |
| Bloods taken, n (%) | 2019 | 2020 | |
| Yes | 623 (85.5) | 224 (84.2) | .624 |
| No | 106 (14.5) | 42 (15.8) | |
| Follow-up given, n (%) | |||
| Yes | 423 (58.0) | 150 (56.4) | .644 |
| No | 306 (42.0) | 116 (43.6) | |
| DAMA from ward, n (%) | |||
| Yes | 11 (1.5) | 3 (1.1) | .770* |
| No | 718 (98.5) | 263 (98.9) | |
| ITU/NPICU admission, n (%) | |||
| Yes | 8 (1.1) | 1 (0.4) | .458* |
| No | 721 (98.9) | 265 (99.6) |
COVID-19, coronavirus disease 2019; CXR, chest x-ray; DAMA, discharge against medical advice; ITU, intensive treatment unit; NPICU, neonatal pediatric intensive care unit; NS, not significant. *Fisher’s exact test. All other analyses were performed using chi-squared test.
Correlation Between Number of Admissions Versus Daily Active COVID 19 Cases During the First COVID-19 Wave
| Daily Admissions 2020 Versus | Active COVID-19 Cases Malta |
|---|---|
|
| 70 |
|
| −0.33 |
|
| 68 |
|
| .005 |
COVID-19, coronavirus disease 2019; NS, not significant.