Evidence map›Paper›PMID 41700651›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026

Validation of the miniPIERS model and a prognostic model for perinatal death in hypertensive pregnancy: Insights from the PREECARDIA study in Guinea-Bissau.

Ruben Turé, Albertino Damasceno, Nuno Lunet

Abstract readValidation Study
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ruben TuréEPIUnit ITR, Institute of Public Health of the University Porto, University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-1452-1128
Albertino DamascenoEPIUnit ITR, Institute of Public Health of the University Porto, University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-5547-0224
Nuno LunetHospital Nacional Simão Mendes, Bissau, Guinea-Bissau.ORCID https://orcid.org/0000-0003-1870-1430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing data from the PREECARDIA study, we aimed to evaluate the performance of the miniPIERS model for adverse maternal outcomes and the prognostic model for perinatal death in Bissau.

methodsWe conducted an external validation of the two predictor models using prospectively collected data from women with preeclampsia recruited at Hospital Nacional Simão Mendes, in Guinea-Bissau, between June 2023 and January 2025. Model performance was assessed by evaluating discrimination, calibration, and risk stratification across different probability thresholds.

resultsDuring this period, 140 preeclamptic women were recruited, of whom 50 were excluded from the analysis because they had incomplete predictor or outcome information. The miniPIERS model demonstrated poor discrimination (area under the receiver operating characteristic curve [AUROC]: 0.664, 95% confidence interval [CI]: 0.50-0.78) and suboptimal calibration, with Calibration-in-the large (CITL) = 0.27, slope: 0.53. The prognostic model for perinatal death showed good discrimination (AUROC: 0.854, 95% CI: 0.77-0.93) but marked miscalibration (CITL = 1.43, slope = 2.11). The risk stratification table indicated low sensitivity and positive predictive value across different probability thresholds for both models.

conclusionThe miniPIERS model showed limited utility for risk prediction in this setting, where healthcare infrastructure and population characteristics differ from the model's development context. While the prognostic model for perinatal death showed better discrimination, its poor calibration and high baseline neonatal mortality in this setting suggest that the model's utility must be interpreted cautiously. Future research should focus on larger multicenter validation studies in similar low-resource settings to optimize and adapt risk prediction tools for maternal conditions such as preeclampsia.

Indexed as

Hypertension, Pregnancy-InducedPerinatal DeathPre-EclampsiaAdultFemaleGuinea-BissauHumansInfant, NewbornPregnancyPrognosisProspective StudiesRisk AssessmentROC CurveGuinea‐Bissauhypertensive disorders of pregnancyminiPIERSperinatal deathpreeclampsia

Identifiers

PMID41700651
PMCPMC13377326

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.