| Literature DB >> 36164588 |
Gezy Giwangkancana1, Ezra Oktaliansah1, Andi Ade W Ramlan2, Arie Utariani3, Putu Kurniyanta4, Hasanul Arifin5, Yunita Widyastuti6, Astrid Pratiwi7, Rusmin Syukur8.
Abstract
Background: The first wave of COVID-19 in 2020 created massive challenges in providing safe surgery for pediatric patients with COVID-19. Inevitably, emergency surgery and the unknown nature of the disease place a burden on the heavily challenged surgical services for pediatrics in a developing country. Lessons from the pandemic are important for future disaster planning. Aim: To describe the characteristics of pediatric surgical patients with COVID-19 undergoing emergency surgery during the first wave and its perioperative narrative in a developing country.Entities:
Keywords: COVID-19; emergency surgery; operating room; pandemic; pediatric anesthesia; pediatric surgery; perioperative
Year: 2022 PMID: 36164588 PMCID: PMC9509001 DOI: 10.2147/OAEM.S377201
Source DB: PubMed Journal: Open Access Emerg Med ISSN: 1179-1500
Figure 1Strengthening the reporting of observational studies in epidemiology (STROBE) diagram. Adapted by permission from Springer Nature, Aging Clinical and Experimental Research Bolignano D, Mattace-Raso F, Torino C, et al. The quality of reporting in clinical research: the CONSORT and STROBE initiatives. Aging Clin Exp Res. 2013;25(1):9-15, COPYRIGHT 2013.24
Figure 2Indonesian area distribution of pediatric surgical cases with suspected COVID-19 infection.
Pediatric Anesthesia Services for Suspected and Confirmed COVID-19 Patients in Indonesian Referral Hospitals
| Variable | n=73 |
|---|---|
| General anesthesia | 66 (90.4%) |
| Regional anesthesia or blocks | 6 (8.2%) |
| Monitored anesthesia care | 1 (1.4%) |
| Intubated | 59 (80.8%) |
| If intubated, use of video laryngoscope | 24 (40%) |
| If intubated, use of rapid sequence intubation | 17 (28.8%) |
| Not intubated | 14 (19.2%) |
| Level 3 personnel protection equipment | |
| Yes | 54 (74%) |
| No | 19 (26%) |
| Timing of polymerase chain reaction testing | |
| 24 hours | 37 (50.6%) |
| 1–3 days | 26 (35.6%) |
| >3 days | 10 (13.8%) |
| Use of negative pressure infectious operating room | |
| Yes | 45 (61.6%) |
| No | 28 (38.4%) |
| Confirmed | 24 (32.9%) |
| Discarded | 49 (67.1%) |
Characteristics of Confirmed COVID-19 Pediatric Patients Undergoing Surgery in Indonesia
| Variable | n=24 |
|---|---|
| 24 (32.9%) | |
| 0.3% | |
| Male | 10 (41.7%) |
| Female | 14 (58.3%) |
| 0 | 3 (12.5%) |
| 1–2 | 5 (20.8%) |
| 2–4 | 1 (4.2%) |
| 5–12 | 6 (25.0%) |
| >12 | 9 (37.5%) |
| Symptomatic | 9 (37.5%) |
| Asymptomatic | 15 (62.5%) |
| Fever | 5 (20.8%) |
| Cough | 4 (16.7%) |
| Dyspnea | 3 (12.5%) |
| Positive | 12 (50.0%) |
| Negative | 12 (50.0%) |
| Yes | 7 (29.2%) |
| No | 17 (70.8%) |
| Yes | 6 (25.0%) |
| No | 18 (75.0%) |
| Cancer | 2 (8.3%) |
| Cardiac | 1 (4.2%) |
| Prematurity | 1 (4.2%) |
| Others | 2 (8.3%) |
| <17.5 | 12 (50.0%) |
| 17.5–25.0 | 1 (4.2%) |
| >25.0 | 11 (45.8%) |
| No | 16 (66.7%) |
| Yes | 8 (33.3%) |
| No | 21 (87.5%) |
| Yes | 3 (12.5%) |
| >98 | 10 (41.7%) |
| 92–98 | 14 (58.3%) |
| General surgery | 8 (33.3%) |
| Ear nose and throat | 1 (4.2%) |
| Neurosurgery | 9 (37.5%) |
| Cardiothoracic | 0 (0.0%) |
| Obstetric | 3 (12.5%) |
| Urologic | 2 (8.3%) |
| Orthopedic | 0 (0.0%) |
| Other | 1 (4.2%) |
| General | 20 (83.3%) |
| Regional | 3 (12.5%) |
| Monitored anesthesia care | 0 (0.0%) |
| Others | 1 (4.2%) |
| COVID-19 ward | 17 (70.8%) |
| Intensive care | 7 (29.2%) |
| Mean±Std | 12±13.3 Days |
| Alive | 22 (91.7%) |
| Dead | 2 (8.3%) |
Comparison of Pediatric Patients with Positive SARS-CoV-2 Results (Confirmed) and Patients with Negative SARS-CoV-2 Results (Discarded) Undergoing Surgery
| Variable | PCR | |
|---|---|---|
| Positive Group | Negative Group | |
| (n=24) | (n=49) | |
| Male | 10(41.7%) | 26(53.1%) |
| Female | 14(58.3%) | 23(46.9%) |
| 0 | 3(12.5%) | 2(4.1%) |
| 1–2 | 5(20.8%) | 14(28.6%) |
| 2–4 | 1(4.2%) | 4(8.2%) |
| 5–12 | 6(25.0%) | 8(16.3%) |
| >12 | 9(37.5%) | 21(42.9%) |
| Hypertension | 0(0.0%) | 1(2.0%) |
| Diabetes | 0(0.0%) | 0(0.0%) |
| Asthma | 0(0.0%) | 0(0.0%) |
| Cancer | 2(8.3%) | 1(2.0%) |
| Chronic kidney disease | 0(0.0%) | 0(0.0%) |
| Cardiac | 1(4.2%) | 0(0.0%) |
| Immune-related diseases | 0(0.0%) | 0(0.0%) |
| Prematurity | 1(4.2%) | 0(0.0%) |
| Others | 2(8.3%) | 10(20.4%) |
| <17.5 | 12(50.0%) | 19(38.8%) |
| 17.5–25.0 | 1(4.2%) | 7(14.3%) |
| >25.0 | 11(45.8%) | 23(46.9%) |
| Positive | 12(50.0%) | 26(53.1%) |
| Negative | 12(50.0%) | 23(46.9%) |
| Yes | 7(29.2%) | 34(69.4%) |
| No | 17(70.8%) | 15(30.6%) |
| Yes | 6(25.0%) | 37(75.5%) |
| No | 18(75.0%) | 12(24.5%) |
| I–II | 12(50.0%) | 16(32.7%) |
| III | 8(33.3%) | 30(61.2%) |
| >IV | 3(12.5%) | 2(4.1%) |
| Not available | 1(4.2%) | 1(2.0%) |
| No | 16(66.7%) | 28(57.1%) |
| Yes | 8(33.3%) | 21(42.9%) |
| No | 21(87.5%) | 47(95.9%) |
| Yes | 3(12.5%) | 1(2.0%) |
| Not available | 0(0.0%) | 1(2.0%) |
| >98 | 10(41.7%) | 7(14.3%) |
| 92–98 | 14(58.3%) | 42(85.7%) |
| 10,672±5000 | 15,923±8090 | |
| COVID-19 ward | 17(70.8%) | 19(38.8%) |
| Intensive care | 7(29.2%) | 28(57.1%) |
| Not available | 0(0.0%) | 2(4.1%) |
| Mean±Std | 11.90±13.357 | 10.83±10.261 |
| Alive | 22(91.7%) | 37(75.5%) |
| Dead | 2(8.3%) | 12(24.5%) |