Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study.
Mortality following hospital discharge remains a significant threat to child health, particularly in resource-limited settings. The Smart Discharges risk-prediction models use simple clinical, socio-behavioral, and point-of-care lab test variables to successfully predict children at the highest risk...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLOS Global Public Health |
| Online Access: | https://doi.org/10.1371/journal.pgph.0004606 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849427366053412864 |
|---|---|
| author | Anneka Hooft Christian Umuhoza Jessica Trawin Cynthia Mfuranziza Emmanuel Uwiragiye Cherri Zhang Vuong Nguyen Aaron Kornblith Nathan Kenya Mugisha J Mark Ansermino Matthew O Wiens |
| author_facet | Anneka Hooft Christian Umuhoza Jessica Trawin Cynthia Mfuranziza Emmanuel Uwiragiye Cherri Zhang Vuong Nguyen Aaron Kornblith Nathan Kenya Mugisha J Mark Ansermino Matthew O Wiens |
| author_sort | Anneka Hooft |
| collection | DOAJ |
| description | Mortality following hospital discharge remains a significant threat to child health, particularly in resource-limited settings. The Smart Discharges risk-prediction models use simple clinical, socio-behavioral, and point-of-care lab test variables to successfully predict children at the highest risk of death after hospital admission for infection to guide a risk-based approach to post-discharge care. In Rwanda, we externally validated five models derived from the prior Smart Discharges Uganda studies in a new cohort of children ages 0 days to 60 months admitted for suspected sepsis at two hospitals. We evaluated model performance using metrics including area under the receiver operating characteristic curve (AUROC), Brier score, and test characteristics (e.g., sensitivity, specificity). Performance was visualized through ROC and gain curves and calibration plots. Of 1218 total children (n = 413, Kigali; n = 805, Ruhengeri), 1161 lived to discharge (95.3%) and 1123 of those completed 6-month follow-up (96.7%). The overall rate of post-discharge mortality was 4.8% (n = 58). All five prediction models tested achieved an area under the receiver-operating curve (AUROC) greater than 0.7 (range 0.706 - 0.738). Low outcome rates resulted in moderately wide confidence intervals. Model degradation ranged from 1.1% to 7.7%, as determined by the percent reduction in AUROC between the internal validation of the original Ugandan cohort and the external Rwandan cohort. Calibration plots showed good calibration for all models at predicted probabilities below 10%. There were too few outcomes to assess calibration among those at the highest predicted risk levels. Discrimination was good with minimal degradation of the model despite low outcome rates. Future work to assess model calibration among the highest risk groups is required to ensure models are broadly generalizable to all children with suspected sepsis in Rwanda and in similar, resource-limited settings. |
| format | Article |
| id | doaj-art-79e277723e4f4c7895280308f0981321 |
| institution | Kabale University |
| issn | 2767-3375 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLOS Global Public Health |
| spelling | doaj-art-79e277723e4f4c7895280308f09813212025-08-20T03:29:03ZengPublic Library of Science (PLoS)PLOS Global Public Health2767-33752025-01-0157e000460610.1371/journal.pgph.0004606Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study.Anneka HooftChristian UmuhozaJessica TrawinCynthia MfuranzizaEmmanuel UwiragiyeCherri ZhangVuong NguyenAaron KornblithNathan Kenya MugishaJ Mark AnserminoMatthew O WiensMortality following hospital discharge remains a significant threat to child health, particularly in resource-limited settings. The Smart Discharges risk-prediction models use simple clinical, socio-behavioral, and point-of-care lab test variables to successfully predict children at the highest risk of death after hospital admission for infection to guide a risk-based approach to post-discharge care. In Rwanda, we externally validated five models derived from the prior Smart Discharges Uganda studies in a new cohort of children ages 0 days to 60 months admitted for suspected sepsis at two hospitals. We evaluated model performance using metrics including area under the receiver operating characteristic curve (AUROC), Brier score, and test characteristics (e.g., sensitivity, specificity). Performance was visualized through ROC and gain curves and calibration plots. Of 1218 total children (n = 413, Kigali; n = 805, Ruhengeri), 1161 lived to discharge (95.3%) and 1123 of those completed 6-month follow-up (96.7%). The overall rate of post-discharge mortality was 4.8% (n = 58). All five prediction models tested achieved an area under the receiver-operating curve (AUROC) greater than 0.7 (range 0.706 - 0.738). Low outcome rates resulted in moderately wide confidence intervals. Model degradation ranged from 1.1% to 7.7%, as determined by the percent reduction in AUROC between the internal validation of the original Ugandan cohort and the external Rwandan cohort. Calibration plots showed good calibration for all models at predicted probabilities below 10%. There were too few outcomes to assess calibration among those at the highest predicted risk levels. Discrimination was good with minimal degradation of the model despite low outcome rates. Future work to assess model calibration among the highest risk groups is required to ensure models are broadly generalizable to all children with suspected sepsis in Rwanda and in similar, resource-limited settings.https://doi.org/10.1371/journal.pgph.0004606 |
| spellingShingle | Anneka Hooft Christian Umuhoza Jessica Trawin Cynthia Mfuranziza Emmanuel Uwiragiye Cherri Zhang Vuong Nguyen Aaron Kornblith Nathan Kenya Mugisha J Mark Ansermino Matthew O Wiens Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. PLOS Global Public Health |
| title | Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. |
| title_full | Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. |
| title_fullStr | Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. |
| title_full_unstemmed | Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. |
| title_short | Validation of a risk-prediction model for pediatric post-discharge mortality after hospital admission for infection in Rwanda: A prospective cohort study. |
| title_sort | validation of a risk prediction model for pediatric post discharge mortality after hospital admission for infection in rwanda a prospective cohort study |
| url | https://doi.org/10.1371/journal.pgph.0004606 |
| work_keys_str_mv | AT annekahooft validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT christianumuhoza validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT jessicatrawin validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT cynthiamfuranziza validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT emmanueluwiragiye validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT cherrizhang validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT vuongnguyen validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT aaronkornblith validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT nathankenyamugisha validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT jmarkansermino validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy AT matthewowiens validationofariskpredictionmodelforpediatricpostdischargemortalityafterhospitaladmissionforinfectioninrwandaaprospectivecohortstudy |