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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id-langga.1325912024-03-26T23:51:23Z https://repository.unair.ac.id/132591/ Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya Erwin Kurniawan, - Marjono Dwi Wibowo, Marjono Edwin Danardono, - R5-920 Medicine (General) 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. Sanglah General Hospital Article PeerReviewed text en https://repository.unair.ac.id/132591/1/10.%20Artikel.pdf text id https://repository.unair.ac.id/132591/2/10.%20karil.pdf text en https://repository.unair.ac.id/132591/3/10.%20turnitin.pdf text en https://repository.unair.ac.id/132591/4/10%20etik.pdf Erwin Kurniawan, - and Marjono Dwi Wibowo, Marjono and Edwin Danardono, - Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya. Bali Medical Journal, 12 (2). pp. 2338-2344. ISSN '20891180, 23022914 https://www.balimedicaljournal.org/index.php/bmj/article/view/4584 https://doi.org/10.15562/bmj.v12i2.4584 |
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R5-920 Medicine (General) Erwin Kurniawan, - Marjono Dwi Wibowo, Marjono Edwin Danardono, - Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
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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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Article PeerReviewed |
author |
Erwin Kurniawan, - Marjono Dwi Wibowo, Marjono Edwin Danardono, - |
author_facet |
Erwin Kurniawan, - Marjono Dwi Wibowo, Marjono Edwin Danardono, - |
author_sort |
Erwin Kurniawan, - |
title |
Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
title_short |
Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
title_full |
Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
title_fullStr |
Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
title_full_unstemmed |
Predictor of Mortality in Complicated Intraabdominal Infection Patients at Dr. Soetomo General Hospital Surabaya |
title_sort |
predictor of mortality in complicated intraabdominal infection patients at dr. soetomo general hospital surabaya |
publisher |
Sanglah General Hospital |
url |
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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