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volume 12 issue Supplement_1

P-143. Interpreting Prognostic Factors Associated with In-Hospital COVID-19 Mortality in a Peru Sample using Shapley Additive Explanations on Ensemble Learning

Na Dai 1
Ruben K Briceno 2
Alex Castaneda 3
Miguel TRESIERRA 3
Maribel Esteban 4
Moises Rosas 3
Rene Hinojosa 2
Publication typeJournal Article
Publication date2025-01-29
scimago Q1
wos Q1
SJR1.441
CiteScore6.0
Impact factor3.8
ISSN23288957
Abstract
Background

COVID-19 has infected over 4.5 million and killed more than 222,000 people in Peru. Research on key factors for in-hospital mortality in these patients is limited. Our study aims to understand prognostic factors linked to the mortality of patients with COVID-19 receiving treatment in Peru. A modified SHapley Additive exPlanations (SHAP) method was proposed.

Table 1

Methods

Clinical and laboratory data were collected prospectively about all patients that were admitted in the inpatient setting at Hospital De Alta Complejidad Virgen De La Puerta and Hospital víctor Lazarte Echegaray Essalud from March 1st to December 31st 2020 with a COVID-19 diagnosis clinically. Ten base predictors were first implemented using the ML algorithms such as Random Forest. Prediction performance on the area under the receiver operating characteristic (AUC) was computed. The SHAP method was then applied to each predictor based on resampled train sets for 30 trials. Factor importance in each trial was estimated by averaging SHAP scores across all predictors, weighted by AUC.

Table 2 (Part 1/3)

Results

After applying inclusion and exclusion criteria (n=) 1,857 patients were selected from a total of 2,000 admitted patients. Several factors out of 281 in total achieved stable importance scores with statistical significance while others were not. Among poor prognostic factors were low PaO2/FiO2 ratio (SV: 4.135, 95% CI: [4.107, 4.163]), shortness of breath (SV: 4.975, 95% CI: [4.864, 5.086]), and productive cough (SV: 2.037, 95% CI: [1.99, 2.080]). Among favorable factors were high PaO2/FiO2 ratio (SV: 3.832, 95% CI: [3.816, 3.848]), low D dimer (SV: 0.875, 95% CI: [0.859, 0.891]) and lymphocyte counts (SV: 1.319, 95% CI: [1.297, 1.340]). For medications, dexamethasone w. air (SV: 2.186, [2.095, 2.277]) was the most effective. For oxygen support, binasal cannula (SV: 0.841, 95% CI: [0.826, 0.857]) and high flow cannula (SV: 0.663, 95% CI: [0.633, 0.693]) are associated with more favorable prognosis than invasive ones.

Table 2 (Part 2/3)

Conclusion

Clinical symptoms and evidence associating acute respiratory distress and sepsis, as well as immune responses less specific to viruses, suggest a likelihood of COVID-19 mortality, consistent with global findings. Our SHAP variant generated reasonable prognostic interpretation about COVID-19 mortality in Peru.

Table 2 (Part 3/3)

Disclosures

All Authors: No reported disclosures

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Dai N. et al. P-143. Interpreting Prognostic Factors Associated with In-Hospital COVID-19 Mortality in a Peru Sample using Shapley Additive Explanations on Ensemble Learning // Open Forum Infectious Diseases. 2025. Vol. 12. No. Supplement_1.
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Dai N., Briceno R. K., Castaneda A., TRESIERRA M., Esteban M., Rosas M., Hinojosa R. P-143. Interpreting Prognostic Factors Associated with In-Hospital COVID-19 Mortality in a Peru Sample using Shapley Additive Explanations on Ensemble Learning // Open Forum Infectious Diseases. 2025. Vol. 12. No. Supplement_1.
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TY - JOUR
DO - 10.1093/ofid/ofae631.348
UR - https://academic.oup.com/ofid/article/doi/10.1093/ofid/ofae631.348/7987278
TI - P-143. Interpreting Prognostic Factors Associated with In-Hospital COVID-19 Mortality in a Peru Sample using Shapley Additive Explanations on Ensemble Learning
T2 - Open Forum Infectious Diseases
AU - Dai, Na
AU - Briceno, Ruben K
AU - Castaneda, Alex
AU - TRESIERRA, Miguel
AU - Esteban, Maribel
AU - Rosas, Moises
AU - Hinojosa, Rene
PY - 2025
DA - 2025/01/29
PB - Oxford University Press
IS - Supplement_1
VL - 12
SN - 2328-8957
ER -
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@article{2025_Dai,
author = {Na Dai and Ruben K Briceno and Alex Castaneda and Miguel TRESIERRA and Maribel Esteban and Moises Rosas and Rene Hinojosa},
title = {P-143. Interpreting Prognostic Factors Associated with In-Hospital COVID-19 Mortality in a Peru Sample using Shapley Additive Explanations on Ensemble Learning},
journal = {Open Forum Infectious Diseases},
year = {2025},
volume = {12},
publisher = {Oxford University Press},
month = {jan},
url = {https://academic.oup.com/ofid/article/doi/10.1093/ofid/ofae631.348/7987278},
number = {Supplement_1},
doi = {10.1093/ofid/ofae631.348}
}