Dataset Information

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

ABSTRACT:

Background

Pneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi.

Methods

We retrospectively analyzed the performance of the Respiratory Index of Severity in Children (RISC) and modified RISC (mRISC) scores in a child pneumonia dataset prospectively collected during routine care at seven hospitals in Malawi between 2011-2014. RISC has both an HIV-infected and HIV-uninfected tool. A local score (RISC-Malawi) was developed using multivariable logistic regression with missing data multiply imputed using chained equations. Score performances were assessed using c-statistics, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood statistics.

Results

16,475 in-patient pneumonia episodes were recorded (case-fatality rate (CFR): 3.2%), 9,533 with complete data (CFR: 2.0%). The c-statistic for the RISC (HIV-uninfected) score, used to assess its ability to differentiate between children who survived to discharge and those that died, was 0.72. The RISC-Malawi score, using mid-upper arm circumference as an indicator of malnutrition severity, had a c-statistic of 0.79. We were unable to perform a comprehensive external validation of RISC (HIV-infected) and mRISC as both scores include parameters that were not routinely documented variables in our dataset.

Conclusion

In our population of Malawian children with WHO-defined pneumonia, the RISC (HIV-uninfected) score identified those at high risk for in-hospital mortality. However the refinement of parameters and resultant creation of RISC-Malawi improved performance. Next steps include prospectively studying both scores to determine if incorporation into routine care delivery can have a meaningful impact on in-hospital CFRs of children with WHO-defined pneumonia.

SUBMITTER: Hooli S

PROVIDER: S-EPMC5193399 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Hooli Shubhada S Colbourn Tim T Lufesi Norman N Costello Anthony A Nambiar Bejoy B Thammasitboon Satid S Makwenda Charles C Mwansambo Charles C McCollum Eric D ED King Carina C

PloS one 20161228 12

<h4>Background</h4>Pneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi.<h4>Methods</h4>We retrospectively analyzed the performance of the Respiratory ...[more]

PMID: 28030608

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Project description:BackgroundPneumonia remains the leading cause of paediatric infectious mortality globally. Treatment failure, which can result from non-adherence to oral antibiotics, can lead to poor outcomes and therefore improving adherence could be a strategy to reduce pneumonia related morbidity and mortality. However, there is little published evidence from low-resource settings for the drivers of non-adherence to oral antibiotics in children.ObjectiveWe aimed to investigate reasons for adherence and non-adherence in children diagnosed and treated in the community with fast-breathing pneumonia in rural Malawi.MethodsWe conducted focus group discussions (FGDs) with caregivers of children known to have been diagnosed and treated with oral antibiotics for fast-breathing pneumonia in the community and key informant interviews with community healthcare workers (CHW). FGDs and interviews were conducted within communities in Chichewa, the local language. We used a framework approach to analyze the transcripts.ResultsWe conducted 4 FGDs with caregivers and 10 interviews with CHWs. We identified four themes, which were common across caregivers and CHWs: knowledge and understanding, effort, medication perceptions and community influences. Caregivers and CHWs demonstrated good knowledge of pneumonia and types of treatment, but caregivers showed confusion around dosing and treatment durations. Effort was needed to seek care, prepare medication and understand regimens, acting as a barrier to adherence. Perceptions of how well the treatment was working influenced adherence, with both quick recovery and slow recovery leading to non-adherence. Community influences were both supportive, with transport assistance for referrals and home visits to improve adherence, and detrimental, with pressure to share treatments.ConclusionAdherence to oral antibiotic treatment for fast-breathing pneumonia was understood to be important, however considerable barriers we described within this rural low-resource setting, such as the effort preparing and administering medication, community pressures to share drugs and potential complexity of regimens.

Project description:Background and objectivesThe International IgA Nephropathy Network recently developed and externally validated two models to predict the risk of progression of IgA nephropathy: full models without and with race. This study sought to externally validate the International IgA Nephropathy Prediction Tool in a large, independent, and contemporary cohort in China.Design, setting, participants, & measurementsWe included 1373 patients with biopsy-confirmed primary IgA nephropathy from The First Affiliated Hospital of Zhengzhou University from January 2012 to May 2018 and calculated predicted risks for each patient. The outcomes of interest were a 50% decline in eGFR or kidney failure. We assessed the performance of both models using discrimination (concordance statistics and Kaplan-Meier curves between subgroups), calibration (calibration plots), reclassification (net reclassification improvement and integrated discrimination improvement), and clinical utility (decision curve analysis).ResultsThe median follow-up was 29 months (interquartile range, 21-43 months; range, 1-95 months), and 186 (14%) patients reached the kidney outcomes of interest. Both models showed excellent discrimination (concordance statistics >0.85 and well separated survival curves). Overall, the full model without race generally underestimated the risk of primary outcome, whereas the full model with race was well calibrated for predicting 5-year risk. Compared with the full model without race, the full model with race had significant improvement in reclassification, as assessed by the net reclassification improvement (0.49; 95% confidence interval, 0.41 to 0.59) and integrated discrimination improvement (0.06; 95% confidence interval, 0.04 to 0.08). Decision curve analysis showed that both full models had a higher net benefit than default strategies, and the model with race performed better.ConclusionsIn this study, both full models demonstrated remarkable discrimination, acceptable calibration, and satisfactory clinical utility. The relatively short follow-up time may have limited the validation of these models.

Dataset Information

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Background

Methods

Results

Conclusion

Publications

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Similar Datasets

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