Cardiovascular

A hematoma location-based nomogram for individualized prediction of thalamic pain after spontaneous thalamic hemorrhage.

TL;DR

A hematoma location-based nomogram incorporating hematoma location, modified Graeb score, and body temperature showed AUCs of 0.852 and 0.870 in training and validation cohorts for predicting thalamic pain within 6 months after spontaneous thalamic hemorrhage.

Key Findings

Thalamic pain occurred in 27.87% of the training cohort and 38.21% of the validation cohort within 6 months after spontaneous thalamic hemorrhage.

  • Total sample size was 410 patients with spontaneous thalamic hemorrhage.
  • Training cohort comprised 287 patients; validation cohort comprised 123 patients.
  • The study used a retrospective design.
  • The time window for thalamic pain assessment was within 6 months after hemorrhage.

A nomogram incorporating hematoma location, modified Graeb score (mGS), and body temperature demonstrated strong discriminative performance for predicting thalamic pain.

  • AUC was 0.852 in the training cohort and 0.870 in the validation cohort.
  • The model showed good calibration as assessed by calibration curves.
  • Favorable net benefit was demonstrated using decision curve analysis.
  • Predictors were selected using LASSO regression followed by multivariable logistic regression.

The association between hematoma location and thalamic pain appeared more pronounced at lower modified Graeb scores.

  • Interaction and subgroup analyses were used to assess whether the association between hematoma location and thalamic pain varied with mGS.
  • The modified Graeb score (mGS) is a measure of intraventricular hemorrhage burden.
  • At lower mGS scores, hematoma location was described as 'particularly informative' for risk stratification.

Among patients with thalamic pain, maximum NRS (Numeric Rating Scale) pain scores differed significantly across hematoma locations, with lateral bleeds showing the highest pain intensity.

  • Analysis was performed among 127 patients with thalamic pain.
  • Differences in maximum NRS scores across hematoma locations were statistically significant (P < 0.001).
  • Lateral hematoma location was associated with the highest pain intensity.
  • NRS scores represent patient-reported pain severity.

Initial hematoma volume was not correlated with maximum NRS pain score among patients with thalamic pain.

  • Spearman correlation coefficient was ρ = 0.030.
  • The correlation was not statistically significant (P = 0.736).
  • This analysis was conducted among the 127 patients who developed thalamic pain.
  • This finding suggests that hematoma size does not predict pain severity, while location does.

What This Means

This research suggests that after a spontaneous bleeding event in the thalamus (a deep brain structure involved in pain processing), a meaningful proportion of patients — roughly 28–38% in this study — go on to develop a chronic pain condition called thalamic pain within six months. The researchers developed a prediction tool called a nomogram using three readily available clinical features: where in the thalamus the bleeding occurred, how much blood entered the brain's ventricles (fluid-filled cavities), and the patient's body temperature. This tool performed well at identifying which patients were at higher risk for developing thalamic pain, with accuracy measures (AUC) of approximately 0.85–0.87. The study also found that the location of the bleed within the thalamus matters not just for predicting whether pain will develop, but also for how severe that pain will be. Patients with bleeding in the lateral (outer) portion of the thalamus reported the highest pain intensities. Importantly, the overall size of the initial bleed was not related to pain severity — meaning a larger hemorrhage does not necessarily mean worse pain. The relationship between bleed location and pain risk was especially strong in patients with less bleeding into the ventricles. This research suggests that routine information collected at hospital admission — specifically CT scan findings about bleed location and ventricular involvement, plus body temperature — could help clinicians identify which thalamic hemorrhage patients are most likely to develop chronic pain and potentially prioritize them for early pain management strategies. The findings support using hematoma location as a key factor in risk stratification, which could be practically implemented without requiring additional specialized testing.

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Citation

Zhang X, Gao S, Shen Y, Hou T, Zhang J, Feng J, et al.. (2026). A hematoma location-based nomogram for individualized prediction of thalamic pain after spontaneous thalamic hemorrhage.. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology. https://doi.org/10.1007/s10072-026-09392-8