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Preoperative mortality risk evaluation in abdominal surgical emergencies: development and internal validation of the NDAR score from a national multicenter audit in Senegal.

Authors :
Ndong A
Diallo AC
Togtoga L
Faye M
Faye PM
Diouf A
Sarr N
Niasse A
Faye AC
Mbaye CT
Bah MS
Ndoye PD
Doukoure M
Guira M
Ka CT
Diouf BM
Faye T
Tandian F
Dialllo TAT
Gaye M
Yamingué N
Kama H
Kazubwenge E
Thiam M
Diack AD
Ndiaye MA
Babara A
Samb C
Badji CH
Diouf CMJ
Fall SMA
Camara M
Faye JI
Niang AK
Dieng PS
Ndiaye A
Dia DA
Sow O
Diop A
Seye Y
Sarr ISS
Gueye ML
Diao ML
Manyacka P
Amaye Diémé EGP
Sall I
Fall O
Sow A
Tendeng JN
Thiam O
Seck M
Diouf C
Ka I
Touré AO
Diop B
Ba PA
Diop PS
Cissé M
Niang K
Konaté I
Source :
BMC surgery [BMC Surg] 2024 Oct 24; Vol. 24 (1), pp. 328. Date of Electronic Publication: 2024 Oct 24.
Publication Year :
2024

Abstract

Introduction: Abdominal surgical emergencies have a high mortality rate. Effective management primarily relies on the early identification of patients at high risk of postoperative complications. The objective of our study was to determine the prognostic factors associated with poor outcomes from abdominal surgical emergencies in Senegal and to establish a predictive score for mortality for preoperative risk evaluation (NDAR (New Death Assessment Risk) score).<br />Methodology: This was a retrospective national cross-sectional study conducted over one year in 14 regions of Senegal. Adult patients (aged > 15 years) who presented with a traumatic or non-traumatic abdominal surgical emergency were included. The studied variables included clinical and paraclinical data. The variable of interest was death within 30 days of the surgery. Logistic regression was used to identify the factors independently associated with mortality. Risk factors identified after logistic regression analysis were weighted using odds ratio (OR) values rounded to the nearest whole number. The predictive capacity of the score was evaluated by analyzing the ROC (Receiver Operating Characteristic) curve based on the area under the curve (AUC).<br />Results: A total of 1114 patient records were included, with a mortality rate of 4.4%. Diagnoses were observed in patients included appendicitis in 39.8% of cases (n = 444), followed by peritonitis in 22.3% (n = 249), intestinal obstruction in 18.5% (n = 205), strangulated hernias in 10.5% (n = 117), and abdominal trauma in 6.1%. Logistic regression, established the following scores: age > 40 years (score 2), ASA status grade 2 or higher (score 1), presence of a positive QSIRS score (score 2), diagnosis of peritonitis (score 2), diagnosis of intestinal obstruction (score 1), and the presence of intestinal necrosis (score 3). The score is positive if the total is strictly greater than 5, indicating a 17.7% risk of mortality. This score had a high predictive capacity with an AUC of 0.7397.<br />Conclusion: This study enabled the establishment of a score that allows for the early identification of at-risk patients, even in constrained resource settings, facilitating appropriate perioperative management and timely surgical intervention to reduce the risk of complications. This approach, focused on early recognition of high-risk patients, is crucial for improving clinical outcomes in abdominal surgical emergencies.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1471-2482
Volume :
24
Issue :
1
Database :
MEDLINE
Journal :
BMC surgery
Publication Type :
Academic Journal
Accession number :
39449009
Full Text :
https://doi.org/10.1186/s12893-024-02613-x