| Literature DB >> 35706742 |
Harshal Tayade1, Yashwant Lamture1, Meenakshi Yeola2.
Abstract
Surgically curable illnesses in the pediatric population are a major public health issue with a high prevalence of 10%-33% of all pediatric admissions, and emergency situations account for 50%-78% of surgical cases. Emergency abdominal surgery in children necessitates proper and prompt surgical and perioperative supportive care. When compared to elective operations, emergency surgery has a greater rate of morbidity and fatality. Staffing concerns, access to operating theaters, and access to diagnostic investigations are all possible causes of this high fatality rate, in addition to patient-related factors. Literature from high-income countries (HICs) discusses the problem, and recommendations are available for high-quality setups with good infrastructure. However, surgical care facilities from resource-poor countries have altogether different challenges and bottlenecks when dealing with children requiring emergency surgical operative procedures to save lives. This review aims to discuss factors affecting the survival of children being operated on for abdominal emergencies in resource-poor setups and suggest recommendations.Entities:
Keywords: abdominal surgical emergency in children; acute abdomen in children; acute abdominal surgical emergency in children; pediatric abdominal surgical emergency; pediatric nontraumatic surgical emergency of the abdomen
Year: 2022 PMID: 35706742 PMCID: PMC9187211 DOI: 10.7759/cureus.24891
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Relevant articles included in the review
| Author | Year | Place | Sample size | Age group | Perioperative mortality |
|
Ameh et al. [ | 2001 | Zaria, Nigeria | 154 | 0-28 days | 30.50% |
|
Keita et al. [ | 2006 | Donka, Republic of Guinea | 222 | 0-28 days | 29.28% |
|
Mhando et al. [ | 2007 | Tanzania | 110 | 0-14 years | 24% |
|
Tseng et al. [ | 2007 | Changhua, Taiwan | 400 | 0-16 years | 0.04% |
|
Osifo et al. [ | 2008 | Benin City, Nigeria | 118 | 12 hours-28 days | 30.5% |
|
Abantanga et al. [ | 2009 | Kumasi, Ghana | 955 | 0-14 years | 9.7% |
|
Ekenze et al. [ | 2010 | Enugu, Nigeria | 115 | 0-14 years | 8.70% |
|
Ghritlaharey et al. [ | 2011 | Bhopal, India | 334 | 0-12 years | 10.17% |
|
Ademuyiwa et al. [ | 2012 | Lagos, Nigeria | 129 | 0-15 years | 10.07% |
|
Olajide et al. [ | 2012 | Ilorin | 100 | 0-12 years | 11% |
|
Manchanda et al. [ | 2012 | New Delhi, India | 165 | 0-28 days | 35.15% |
|
Sowande et al. [ | 2014 | Osun State, Nigeria | 110 | 0-28 days | 53.60% |
|
Grabski et al. [ | 2015 | Uganda | 571 | 0-16 years | 12.40% |
|
de Bruin et al. [ | 2015 | Utrecht, Netherlands | 45,182 | 0-18 years | 0.13% |
|
Raina et al. [ | 2015 | Jabalpur, India | 124 | 0-28 days | 30% |
|
Davies et al. [ | 2016 | Congo, South Africa, South Sudan | 14,482 | 0-14 years | 19.70% |
|
Verma et al. [ | 2016 | Rohtak, India | 298 | 0-1 month | 16.40% |
|
Talabi et al. [ | 2018 | Nigeria | 4,108 | 0-15 years | 15.6/10,000 |
|
Bonasso et al. [ | 2018 | USA | 103,444 | 0-21 years | 0.7% |
|
Firomsa et al. [ | 2018 | Ethiopia | 210 | 7 days-12 years | 4.28% |
|
Ali et al. [ | 2018 | Srinagar, India | 120 | 0-28 days | 23.33% |
|
Cheung et al. [ | 2019 | Uganda | 2,090 | 0-12 years | 27.7% |
|
Yassegoungbe et al. [ | 2020 | Northern Benin | 68 | 0-12 years | 8.80% |
|
Harunani et al. [ | 2020 | Kenya | 140 | 0-17 years | 20% |
|
Ullrich et al. [ | 2021 | Uganda | 357 | 0-14 years | 14% |
|
Grabski et al. [ | 2021 | Uganda | 1,964 | 0-13 years | 2.40% |
|
Newton et al. [ | 2021 | Kenya | 6,005 | 0-18 years | 1.70% |
|
Didier et al. [ | 2021 | Niger | 327 | 0-5 years | 5.5% |
|
Tarekegn et al. [ | 2021 | Ethiopia | 849, 445 | 0-18 years | 2.58% |