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Published on: October 15, 2021
Evaluation of the CNS-LAND Score for ICU Mortality Prediction in Patients with Spontaneous Intracerebral Hemorrhage
Mehtap Zengi1, Gülbahar Çalışkan1
1Intensive Care Unit, Department of Anesthesiology and Reanimation, Bursa City Hospital, Doğanköy İç Yolu, Nilüfer, Bursa 16110, Türkiye.
Insights
The CNS-LAND score does not independently predict Intensive Care Unit mortality in intracerebral hemorrhage patients. Its prognostic value is redundant with the Glasgow Coma Scale, offering no additional information.
Area of Science:
- Neurology
- Critical Care Medicine
Background:
- The CNS-LAND score was developed to predict outcomes in stroke patients.
- Its utility in predicting Intensive Care Unit (ICU) mortality for spontaneous intracerebral hemorrhage (ICH) requires further investigation.
Purpose of the Study:
- To evaluate the prognostic value of the CNS-LAND score for ICU mortality in patients with spontaneous ICH.
- To determine if CNS-LAND provides independent prognostic information beyond the Glasgow Coma Scale (GCS).
Main Methods:
- A retrospective cohort study included 305 adult ICU patients with spontaneous ICH.
- Prognostic performance was assessed using receiver operating characteristic (ROC) curve analysis.
- Independent contribution was evaluated using partial correlation and logistic regression analyses, controlling for GCS.
Main Results:
- ICU mortality was 23.3%. CNS-LAND scores were higher in non-survivors (median 6.0 vs. 3.0, p < 0.001).
- CNS-LAND showed prognostic performance comparable to APACHE II (AUC: 0.816).
- After adjusting for GCS, CNS-LAND lost statistical significance (partial rs = -0.051, p = 0.373), indicating no independent prognostic contribution.
Conclusions:
- CNS-LAND's predictive performance in ICH is largely due to its National Institutes of Health Stroke Scale component, which is highly collinear with GCS.
- The score offers no independent prognostic information beyond GCS in this patient population.
- CNS-LAND's discriminative performance is redundant with standard neurological assessment in severe ICH.
Abstract:
Objectives: This study investigated the prognostic value of the CNS-LAND score in predicting Intensive Care Unit (ICU) mortality among patients admitted with spontaneous intracerebral hemorrhage (ICH). Methods: In this single-center, retrospective cohort study, 305 adult ICU patients with spontaneous ICH (September 2022-March 2026) were included. The primary endpoint was ICU mortality. Prognostic performance was evaluated using receiver operating characteristic (ROC) curve analysis and the bootstrap-based DeLong method. The independent contribution of CNS-LAND beyond the Glasgow Coma Scale (GCS) was assessed using partial correlation and logistic regression analyses. Results: ICU mortality occurred in 71 of 305 patients (23.3%; median age 66.0 years). CNS-LAND scores were significantly higher in non-survivors than survivors (median 6.0 vs. 3.0, p < 0.001). ROC analysis showed the highest discriminative performance for GCS (AUC: 0.925), followed by Sequential Organ Failure Assessment (SOFA) (AUC: 0.906), Acute Physiology and Chronic Health Evaluation II (APACHE II) (AUC: 0.840), and CNS-LAND (AUC: 0.816; p = 0.467 vs. APACHE II). At a cutoff of ≥5, CNS-LAND yielded 83.1% sensitivity, 70.9% specificity, and a negative predictive value of 93.3%. Spearman analysis revealed near-perfect collinearity between National Institutes of Health Stroke Scale (NIHSS) and GCS (rs = -0.964, p < 0.001). After controlling for GCS, CNS-LAND lost statistical significance (partial rs = -0.051, p = 0.373), and logistic regression confirmed no independent prognostic contribution beyond GCS (LRT: χ2 = 0.121, p = 0.728). Conclusions: CNS-LAND demonstrated mortality prediction performance comparable to APACHE II in critically ill ICH patients. However, this apparent performance was almost entirely attributable to the score's NIHSS component: NIHSS and GCS were near-perfectly collinear (rs = -0.964), and after adjustment for GCS, CNS-LAND was no longer significantly associated with mortality (partial rs = -0.051, p = 0.373; likelihood-ratio test p = 0.728; ΔAUC ≈ 0.000). CNS-LAND therefore provides essentially no independent prognostic information beyond GCS in this population, indicating that its discriminative performance is redundant with, rather than complementary to, standard neurological assessment. This redundancy is rooted in the parallel progression of neurological deficit and consciousness characteristic of severe ICH-a relationship fundamentally distinct from the acute ischemic stroke population in which CNS-LAND was originally derived.