An admission-parameter nomogram incorporating systolic blood pressure, baseline NIHSS, neutrophil-to-lymphocyte ratio, and vascular stenosis achieved an optimism-corrected AUC of 0.741 for predicting early neurological deterioration after minor small subcortical infarction, providing an internally validated prognostic tool that requires external validation before clinical implementation.
Early neurological deterioration occurred in 22.5% of patients with minor small subcortical infarction admitted within 24 hours of symptom onset.
Each 10 mmHg increase in admission systolic blood pressure was independently associated with increased odds of early neurological deterioration.
Higher baseline NIHSS score, higher neutrophil-to-lymphocyte ratio, and presence of vascular stenosis of at least 50% were each independently associated with early neurological deterioration.
The primary nomogram model demonstrated moderate discrimination with an apparent AUC of 0.762 and an optimism-corrected AUC of 0.741 after bootstrap internal validation.
Suspected branch atheromatous disease was present in 83.3% of END cases and materially increased model performance in an expanded exploratory model.
Sensitivity analyses including MRI-only, parent-artery-stenosis exclusion, and ischemic-END subgroup analyses were directionally consistent with the primary model findings.
Addition of 24-hour SBP variability to a landmark analysis improved discrimination for deterioration occurring after 24 hours, but post-admission metrics were excluded from the admission-only nomogram.
The authors concluded that the nomogram requires external validation before use in treatment selection or bedside implementation.
This research suggests that it is possible to predict which patients with mild strokes affecting small, deep brain structures are at risk of getting worse in the first few days after hospital admission. The researchers studied 240 patients with minor strokes and found that about 1 in 4 (22.5%) experienced early neurological deterioration—meaning their stroke symptoms measurably worsened within 72 hours. By analyzing information available at the time of admission, they identified four key risk factors: higher blood pressure on arrival, more severe initial symptoms (measured by the NIHSS stroke scale), a higher ratio of neutrophils to lymphocytes in the blood (a marker of inflammation), and the presence of significant narrowing in nearby blood vessels. They combined these factors into a scoring tool called a nomogram that doctors could potentially use to identify high-risk patients early. The scoring tool showed moderate accuracy, correctly distinguishing between patients who did and did not deteriorate about 74% of the time after accounting for the risk of overfitting through rigorous statistical testing using 1,000 repeated resampling analyses. The researchers also found that a specific stroke subtype called branch atheromatous disease was present in more than 80% of patients who deteriorated, suggesting that the underlying cause of the stroke matters a great deal for predicting worsening. Additionally, fluctuations in blood pressure over the first 24 hours helped predict later deterioration, though this information was not available at admission and was not included in the main tool. This research suggests that a simple combination of routine admission measurements could help clinicians flag patients with mild strokes who are at higher risk of worsening, potentially allowing for closer monitoring. However, the authors emphasize that this tool was developed and tested on data from a single institution and has not yet been validated in other patient populations. It should not yet be used to make treatment decisions or replace clinical judgment until it has been tested more broadly in different hospitals and patient groups.
Zhang Y, Zhang M, Zhang M. (2026). Admission-Parameter Nomogram for Early Neurological Deterioration after Minor Small Subcortical Infarction: A Retrospective Cohort Study.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/71645