The PLAN score can predict poor outcomes of intracerebral hemorrhage

Peripheral immunity changes are associated with neurodegeneration and worse clinical outcome in idiopathic normal pressure hydrocephalus

BACKGROUND AND PURPOSE

Idiopathic normal pressure hydrocephalus (iNPH) pathogenesis is multifactorial. Systemic inflammation might have a role in gathering clinical-pathological trajectories. We aimed to shape the peripheral immune profile of iNPH and establish correlations with cerebrospinal fluid (CSF) markers, ventricular enlargement, and clinical outcomes.

METHODS

We conducted a single-center retrospective-longitudinal study, including 38 iNPH patients and 38 controls. Baseline iNPH Grading Scale and modified Rankin Scale (mRS) scores were collected with peripheral blood cell count, CSF amyloid-β42 (Aβ42), total tau (t-tau), phosphorylated-181-tau, and Evans index. Depending on 5-year outcome, iNPH patients were grouped into "poor outcome" (PO; mRS ≥ 5) and "favorable outcome" (FO; mRS < 5). Biomarkers were compared and correlated with each other. Receiver operating characteristic analysis was performed.

RESULTS

iNPH patients compared to controls had higher neutrophil-to-lymphocyte ratio (NLR; 2.43 ± 1.04 vs. 1.61 ± 0.47, p < 0.001), higher neutrophils (4.22 ± 0.86 1000/mL vs. 3.48 ± 1.34, p = 0.033), and lower lymphocytes (1.45 ± 0.55 1000/mL vs. 2.07 ± 0.86, p = 0.038), with the expected CSF biomarkers signature. In the patients' cohort, NLR was associated directly with t-tau and inversely with Aβ42. NLR directly correlated with Evans index. PO patients compared to those with FO had higher NLR (3.25 ± 1.40 vs. 2.01 ± 0.77, p = 0.035) and higher t-tau (274.76 ± 114.39 pg/mL vs. 150.28 ± 72.62, p = 0.017), with an area under the curve of 0.786 and 0.793, respectively.

CONCLUSIONS

iNPH patients present a proinflammatory state associated with neurodegeneration and predicting poor clinical outcome. Systemic inflammation represents a factor in the clinical-pathological progression of iNPH, and the NLR emerges as a potential prognostic index.

Hospital to Hospital Transfers of Cerebral Hemorrhage: Characteristics of Early Withdrawal of Life-Sustaining Treatment

BACKGROUND

Large intracerebral hemorrhages (ICHs) are associated with significant morbidity and mortality. Patient transfer to higher level centers is common, but care in these centers rarely demonstrably improves morbidity or reduces mortality. Patients may rapidly progress to brain death, but a large number die shortly after transferring because of withdrawal of life-sustaining treatment (WOLST). This outcome may result in poor resource use and unnecessary cost to patients, families, and institutions. We sought to determine clinical and radiographic predictors of early death or WOLST that may alter potential transfer.

METHODS

We performed a retrospective review of patients admitted from outside medical centers to the neurosciences intensive care unit at Saint Marys Mayo Clinic Hospital in Rochester, MN, from January 2014 to December 2019. Patients ≥ 18 years old with a spontaneous ICH were included. Exclusion criteria included trauma, subarachnoid hemorrhage, and subdural hematoma. We identified patients who died or underwent WOLST within 24 h of transfer. Descriptive characteristics of patients and ICH were collected. Data were analyzed with univariable, multivariable, and logistic regression. Predictive modeling was performed. An additional case-matched study was completed to evaluate for characteristics further.

RESULTS

A total of 317 consecutive patients were identified. Forty-two patients were found with early death or WOLST within 24 h of transfer. Do not resuscitate/do not intubate (DNR/DNI) code status (odds ratio [OR] 5.23, confidence interval [CI] 3.31-8.28), anticoagulation use (OR 2.11, CI 1.09-4.09), and lower level of consciousness at presentation based on Glasgow Coma Score (OR 1.41, CI 1.29-1.54) and Full Outline of Unresponsiveness (FOUR) score (OR 1.34, CI 1.26-1.46) were associated with WOLST. Associated characteristics on the computed tomography scan included midline shift (OR 4.64, CI 2.32-9.29), hydrocephalus (OR 9.30, CI 4.56-18.96), and intraventricular extension (OR 5.27, CI 2.60-10.68). Case matching restricted to midline shift demonstrated similarity between patients with aggressive care and WOLST. DNR/DNI code status, warfarin use, ICH score, and composite FOUR score were the best predictive characteristics (area under the curve 0.942).

CONCLUSIONS

Early death or WOLST after ICH within 24 h of presentation was most associated with DNR/DNI code status, warfarin use, ICH score, and lower level of consciousness at presentation. These characteristics may be used by clinicians to guide conversations prior to transfer to tertiary care centers.

The Spot Sign and Intraventricular Hemorrhage are Associated with Baseline Coagulopathy and Outcome in Intracerebral Hemorrhage

BACKGROUND

Spontaneous intracerebral hemorrhage (ICH) is the second most prevalent subtype of stroke and has high mortality and morbidity. The utility of radiographic features to predict secondary brain injury related to hematoma expansion (HE) or increased intracranial pressure has been highlighted in patients with ICH, including the computed tomographic angiography (CTA) spot sign and intraventricular hemorrhage (IVH). Understanding the pathophysiology of spot sign and IVH may help identify optimal therapeutic strategies. We examined factors related to the spot sign and IVH, including coagulation status, hematoma size, and location, and evaluated their prognostic value in patients with ICH.

METHODS

Prospectively collected data from a single center between 2012 and 2015 were analyzed. Patients who underwent thromboelastography within 24 h of symptom onset and completed follow-up brain imaging and CTA within 48 h after onset were included for analysis. Multivariate logistic regression analyses were performed to identify determinants of the spot sign and IVH and their predictive value for HE, early neurological deterioration (END), in-hospital mortality, and functional outcome at discharge.

RESULTS

Of 161 patients, 50 (31.1%) had a spot sign and 93 (57.8%) had IVH. In multivariable analysis, the spot sign was associated with greater hematoma volume (odds ratio [OR] 1.02; 95% confidence interval [CI] 1.00-1.03), decreased white blood cell count (OR 0.88; 95% CI 0.79-0.98), and prolonged activated partial thromboplastin time (OR 1.14; 95% CI 1.06-1.23). IVH was associated with greater hematoma volume (OR 1.02; 95% CI 1.01-1.04) and nonlobar location of hematoma (OR 0.23; 95% CI 0.09-0.61). The spot sign was associated with greater risk of all adverse outcomes. IVH was associated with an increased risk of END and reduced HE, without significant impact on mortality or functional outcome.

CONCLUSIONS

The spot sign and IVH are associated with specific hematoma characteristics, such as size and location, but are related differently to coagulation status and clinical course. A combined analysis of the spot sign and IVH can improve the understanding of pathophysiology and risk stratification after ICH.

Value of Barthel, PLAN and NIHSS scores for predicting the death of patients with acute ischemic stroke during their 5-year follow-up

OBJECTIVE

This study aimed to investigate the value of Barthel, PLAN, and NIHSS scores for predicting death in the 5-year follow-up after patients with AIS are discharged and find a simple and convenient predictive scale.

METHODS

Data were prospectively collected from 678 patients with AIS. Patients' death after 5 years of follow-up was considered the final event. The predictors of death were examined through single-factor and multivariate analysis. The receiver operating characteristic curve (ROC) of the patients' Barthel, PLAN, and NIHSS scores was drawn, and the area under the curve (AUC) was calculated. Differences in the predictive power of the three scales were compared using MedCalc. The goodness of fit between predictive and actual models was evaluated with the Hosmer-Lemeshow method.

RESULTS

Multivariate analysis suggested that the BI score was an independent predictor of death from AIS in the 5-year follow-up. The Barthel, PLAN, and NIHSS scale scores predicted the 5-year mortality AUC values of AIS were 0.687 [95% CI, (0.649-0.722)], 0.621 [95% CI, (0.583-0.659)], 0.637 [95% CI, (0.599-0.674)], the Hosmer-Lemeshow test revealed P > 0.05, indicating that the three models had a good fit. In pairwise comparison, the AUC value of the BI score was significantly greater than that of the NIHSS scores (Pc = 0.0189). BI and PLAN scores were very close to statistical significance (Pc = 0.0513). However, PLAN and NIHSS scores had no significant differences (Pc = 1.7493).

CONCLUSION

Simple BI scores had a high predictive value for the death of Chinese patients with AIS within 5 years.