Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya
Abstract Link of Video Abstract: https://youtu.be/g_ys7cQCuDY Background: Complicated intraabdominal infection (cIAI) is a surgical emergency reported to be a major contributor to non-traumatic mortality worldwide. Identifying the mortality risk before any operation is important in guiding clini...
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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English Indonesian English English |
| Published: |
Sanglah General Hospital
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| Online Access: | https://repository.unair.ac.id/132591/1/10.%20Artikel.pdf https://repository.unair.ac.id/132591/2/10.%20karil.pdf https://repository.unair.ac.id/132591/3/10.%20turnitin.pdf https://repository.unair.ac.id/132591/4/10%20etik.pdf https://repository.unair.ac.id/132591/ https://www.balimedicaljournal.org/index.php/bmj/article/view/4584 https://doi.org/10.15562/bmj.v12i2.4584 |
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| Institution: | Universitas Airlangga |
| Language: | English Indonesian English English |
| Summary: | Abstract
Link of Video Abstract: https://youtu.be/g_ys7cQCuDY
Background: Complicated intraabdominal infection (cIAI) is a surgical emergency reported to be a major contributor to non-traumatic mortality worldwide. Identifying the mortality risk before any operation is important in guiding clinical decision-making and informed patient consent about the risk of complicated intraabdominal infection (cIAI). The study aimed to develop a novel scoring system for predicting postoperative mortality in cIAI.
Methods: Data were collected retrospectively from all consecutive patients 396 patients met the inclusion criteria after excluding missing data undergoing cIAI surgery in Dr. Soetomo Hospital 2020 - 2022. Multivariate logistic regression analysis was performed to correlate the explanatory variable postoperative mortality. Data were analyzed using SPSS version 20.0 for Windows and MedCalc.
Results: Postoperative mortality rate cIAI was 32,2% (128 of 396), and variables identified as the strongest predictors of postoperative mortality were age > 60 y.o (OR 3,196), systolic blood pressure < 100 mmHg (OR 5,894), thrombocyte < 100.000 /uL (OR 5,593), albumin ≤ 2,9 g/dL (OR 6,764), total bilirubin > 1,8 mg/dL (OR 2,180), creatinine serum ≥ 1,58 mg/dL (OR 4,290), cancer comorbidity (OR 3,578), and appendix perforation as negative predictor (OR 5,853). These parameters were included in the prediction model of the novel simplified Airlangga Scoring System.
Conclusion: Despite the relatively low number of risk factors, the Airlangga score has been shown as a good predictor of postoperative mortality after cIAI. External validation is required in hospitals different from those in which the novel scoring system was developed. |
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