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Cohort study identifies predictors for retinopathy in hypertensive pregnancy disorders.

Cohort study identifies predictors for retinopathy in hypertensive pregnancy disorders.
Photo by Ian Talmacs / Unsplash
Key Takeaway
Note that specific hypertensive disorder factors are associated with retinopathy in pregnancy, but evidence is observational.

This was a cohort study conducted at two hospitals from December 2020 to December 2025. The population included 667 patients with hypertensive disorders of pregnancy (PIH), split into a development cohort (n=400), an internal validation cohort (n=267), and an external validation cohort (n=200). The study examined predictors for the primary outcome of retinopathy, comparing a group with specific hypertensive disorder predictors to a non-retinopathy group.

In the modeling group, the incidence of retinopathy was 28.0% (112/400). Several factors were identified as independent risk factors for retinopathy: HDP onset 3 weeks (OR = 11.548), proteinuria (+++) (OR = 14.535), hematocrit >0.35 (OR = 16.733), and systolic blood pressure (OR = 1.143). No p-values or confidence intervals were reported for these associations.

Safety and tolerability data were not reported, including adverse events, serious adverse events, or discontinuations. The study did not report follow-up duration, funding, conflicts of interest, or practice relevance. Key limitations include the observational design, which cannot establish causality, and the lack of reported statistical uncertainty measures.

Given these limitations, the findings suggest potential predictors for retinopathy in hypertensive pregnancy disorders, but they should not be used to guide causal interventions. Further research is needed to validate these associations and assess clinical applicability.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
ObjectiveTo identify risk factors for retinopathy in patients with hypertensive disorders of pregnancy (HDP) and develop a predictive nomogram model.MethodsA total of 667 patients with PIH treated at our hospital between December 2020 and December 2025 were retrospectively enrolled based on M. Kendall sample size estimation. Patients were randomly assigned to a development cohort (n = 400) and an internal validation cohort (n = 267) in a 6:4 ratio. According to the occurrence of retinopathy, the modeling group was further divided into a retinopathy group (n = 112) and a non-retinopathy group (n = 288). Additionally, 200 PIH patients from Xunwu County People's Hospital (January 2021 to December 2024) were included as an external validation cohort. LASSO regression was used to screen potential predictors, followed by multivariate logistic regression to identify independent risk factors. A nomogram prediction model was constructed. Model performance was evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).ResultsAmong the 400 patients in the modeling group, 112 developed retinopathy, with an incidence of 28.0%. Eight potential predictors were identified by LASSO regression. Multivariate analysis revealed that HDP onset 3 weeks (OR = 11.548), proteinuria (+++) (OR = 14.535), hematocrit >0.35 (OR = 16.733), and systolic blood pressure (OR = 1.143) were independent risk factors (all P 
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