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World J Crit Care Med. Mar 9, 2026; 15(1): 115169
Published online Mar 9, 2026. doi: 10.5492/wjccm.v15.i1.115169
Intracranial pressure management in severe intraventricular hemorrhage: A minireview
Wu-Si Qiu, Department of Surgical Education and Research, Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, Zhejiang Province, China
Wu-Si Qiu, Wen-Jie Yang, Department of Neurosurgery, Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, Zhejiang Province, China
Hao-Dong Chen, Department of Neurosurgery, Tongxiang First People’s Hospital, Jiaxing 314500, Zhejiang Province, China
Ming-Min Chen, Department of General Practice, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
ORCID number: Wu-Si Qiu (0000-0002-0587-8571); Ming-Min Chen (0000-0002-0239-5945).
Co-first authors: Wu-Si Qiu and Hao-Dong Chen.
Co-corresponding authors: Wu-Si Qiu and Ming-Min Chen.
Author contributions: Qiu WS and Chen MM designed the study, and they contributed equally to this manuscript as co-corresponding authors; Qiu WS and Chen HD contributed equally to this manuscript as co-first authors; Qiu WS, Chen HD, Yang WJ, and Chen MM performed references acquisition and interpretation; Qiu WS and Chen MM wrote the manuscript; Qiu WS, Chen HD, and Yang WJ critically revised it for important intellectual content. All authors have read and approved the final manuscript.
Supported by Scientific Research Fund of Hangzhou Health Department, No. A20251639; and Teaching Construction and Reform Projects of Hangzhou Normal University, No. JG2025180.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Wu-Si Qiu, MD, PhD, Associate Chief Physician, Associate Professor, Department of Surgical Education and Research, Affiliated Hospital of Hangzhou Normal University, No. 126 Wenzhou Road, Gongshu District, Hangzhou 310015, Zhejiang Province, China. shihai954@163.com
Received: October 14, 2025
Revised: November 5, 2025
Accepted: December 29, 2025
Published online: March 9, 2026
Processing time: 140 Days and 18.3 Hours

Abstract

Severe intraventricular hemorrhage (IVH) is a life-threatening neurological emergency that poses significant risks of morbidity and mortality, particularly due to the associated elevated intracranial pressure (ICP). Studies have shown that the incidence of IVH in very preterm infants is high, with management strategies playing a significant role in its development. Moreover, predictive models have been developed to forecast early mortality and severe IVH in very-low birth weight preterm infants, indicating the complexity and multifactorial nature of this condition. This mini-review synthesizes recent advances in the understanding of intracranial dynamics, monitoring technologies, and therapeutic strategies for managing ICP in IVH. The Monro-Kellie 4.0 framework integrates cerebrovascular autoregulation, intracranial compliance, and glymphatic clearance as core determinants of ICP. Pathophysiological mechanisms include obstructive hydrocephalus, hemoglobin-mediated neurotoxicity, and cortical spreading depolarizations. Advancements in non-invasive monitoring techniques, such as ICP monitoring and genetic testing, coupled with the integration of artificial intelligence, are significantly improving early detection capabilities and enabling more personalized management strategies. Therapeutic advances include algorithmic cerebrospinal fluid drainage, glymphatic-enhanced therapies, and precision hyperosmolar therapy. This review highlights the need for standardized protocols, large-scale trials, and artificial intelligence-driven approaches to improve outcomes in severe IVH.

Key Words: Intraventricular hemorrhage; Intracranial pressure; External ventricular drainage; Multimodal monitoring; Artificial intelligence; Glymphatic system

Core Tip: This mini-review provides an updated synthesis of intracranial pressure management in severe intraventricular hemorrhage, introducing the innovative Monro-Kellie 4.0 framework and highlighting the integration of artificial intelligence with multimodal monitoring for personalized care. It emphasizes emerging therapeutic strategies including glymphatic enhancement, smart drainage systems, and future research directions to improve patient outcomes through precision medicine approaches.



INTRODUCTION

Severe intraventricular hemorrhage (IVH), defined by a Graeb score ≥ 6, represents a critical neurological condition characterized by bleeding into the ventricular system, leading to elevated intracranial pressure (ICP), obstructive hydrocephalus, and secondary brain injury[1]. As a severe subtype of stroke, IVH carries high mortality rates and poor functional outcomes, presenting significant challenges in neurocritical care[2,3]. The management of ICP in these patients requires a sophisticated approach integrating pathophysiological understanding, advanced monitoring, and targeted interventions[4].

The incidence of IVH varies depending on underlying etiology, with hypertension, cerebral aneurysms, and vascular malformations representing common causes[5]. The condition typically presents with acute, severe neurological symptoms including sudden-onset headache described as “the worst headache of my life”, altered mental status ranging from confusion to coma, nausea/vomiting from ICP elevation, and focal neurological deficits depending on hemorrhage location and volume[6-9].

This mini-review aims to provide a comprehensive overview of current understanding and advancements in ICP management for severe IVH, focusing on theoretical models, pathophysiological mechanisms, monitoring techniques, therapeutic strategies, and future directions. We particularly emphasize the integration of novel technologies, particularly artificial intelligence (AI), and the application of personalized medicine approaches, which are revolutionizing the management paradigm for such challenging conditions.

THEORETICAL MODELS OF ICP DYNAMICS IN IVH

The conceptual framework for understanding ICP dynamics has evolved significantly from the classical Monro-Kellie doctrine to more sophisticated models that account for the complex pathophysiology of IVH[10]. The traditional Monro-Kellie principle, dating back to the 18th century, posits that the cranial cavity functions as a rigid container with a fixed volume, in which the combined quantities of brain tissue, blood, and cerebrospinal fluid (CSF) must remain constant[8]. While this foundation remains relevant, contemporary understanding recognizes the dynamic nature of intracranial compensation mechanisms.

The updated Monro-Kellie 4.0 model represents a paradigm shift from viewing the intracranial space as a static container to understanding it as a dynamic system. This framework integrates three core physiological components: Cerebrovascular autoregulation (CA), intracranial compliance, and the glymphatic system[11]. In severe IVH, impairment of CA is a common and critical event, where cerebral blood flow (CBF) becomes passively dependent on systemic blood pressure, significantly increasing the risk of secondary brain injury and worsening outcomes[11,12]. The pressure reactivity index, derived from continuous monitoring of arterial blood pressure and ICP, has emerged as a crucial and validated parameter for quantifying the state of CA, with impaired autoregulation (a higher-pressure reactivity index) strongly predicting poor prognosis[13-16]. Concurrently, the glymphatic system, a brain-wide perivascular waste clearance pathway, plays a vital role in clearing toxic substances, including blood breakdown products and proteins implicated in neuroinflammation, from the brain’s interstitial and ventricular spaces. Its function is particularly promoted during sleep and is crucial for mitigating secondary injury[17]. Furthermore, the presence of blood in the ventricles triggers a massive inflammatory response, characterized by the release of cytokines and chemokines[18]. This inflammatory surge contributes strongly to vasogenic edema formation by disrupting the blood-brain barrier, which in turn might exacerbate increased ICP[11].

This advanced framework better captures the multifaceted nature of ICP regulation in IVH by integrating dynamic physiological processes, such as blood pressure fluctuations and secondary injuries, rather than focusing solely on static volume-pressure dynamics. The evolution of these conceptual models is summarized in Table 1.

Table 1 Evolution of the Monro-Kellie doctrine in intraventricular hemorrhage management.
Era
Core mechanism
Clinical applications
Key limitations in IVH
1.0 (1783-20th century)Static volume compensationCSF displacement to spinal compartmentNeglects compensatory thresholds and dynamic interactions
2.0 (2016)Venous capacitance shiftsJugular optimization during EVD clampingOverlooks arterial inflow dynamics during autoregulatory failure
3.0 (2019)Parenchymal deformationManagement of chronic hydrocephalusLimited relevance to acute hemorrhage phases
4.0 (2025)Integrated neurodynamics: CA + glymphatics + ICCPredictive analytics for compliance failureRequires advanced multimodal monitoring integration

Mathematical modeling has provided valuable tools for simulating ICP dynamics in IVH and other various pathological conditions. Compartmental (lumped-parameter) models represent the intracranial space as interconnected chambers, with ventricles modeled as elastic structures with defined inflow (choroid plexus) and outflow (arachnoid villi) mechanisms[18]. For severe IVH, these models can simulate how clot mass occupies ventricular space and obstructs CSF pathways, leading to increased ICP and hydrocephalus. In severe cases of IVH, advanced models can replicate the obstruction of CSF pathways by clot mass within the ventricular space, resulting in elevated ICP. This simulation is crucial for understanding the progression of IVH and for developing effective treatment strategies.

The pressure-volume index model provides a method for predicting hemodynamic changes by assessing the relationship between volume alterations and pressure responses. More sophisticated poroelastic models incorporate tissue properties and fluid dynamics to simulate brain biomechanics[19]. While these mathematical models provide valuable theoretical frameworks and predictive capabilities, their clinical application remains limited by the complexity and individual variability of IVH pathophysiology[20].

MAIN PATHOPHYSIOLOGY OF ICP ELEVATION IN IVH

The elevation of in severe IVH results from a complex interplay of multiple pathological mechanisms. Understanding these processes is essential for developing effective treatment strategies and improving patient outcomes.

Obstruction of CSF pathways

The primary mechanism of ICP elevation involves obstruction of CSF pathways by blood clots. This obstruction can occur at various levels, including the foramina of Monro, the cerebral aqueduct, and the fourth ventricle outlets[20]. The resulting obstructive hydrocephalus leads to increased ventricular volume and elevated ICP, creating a dangerous cycle of increasing pressure and reducing cerebral compliance[21].

Inflammation and edema

The presence of blood in the ventricular system triggers a significant inflammatory response characterized by the release of cytokines and chemokines. This inflammatory cascade contributes to both vasogenic and cytotoxic edema, further exacerbating ICP elevation. Breakdown products of blood, particularly hemoglobin and iron, promote oxidative stress and neuronal injury through free radical formation[22]. These processes not only contribute to immediate ICP elevation but also establish conditions for delayed secondary injury[2,22].

Impaired cerebral autoregulation

Cerebral autoregulation, the brain’s ability to maintain stable CBF despite fluctuations in systemic blood pressure, becomes impaired in severe IVH[23]. This impairment involves both metabolic and neurogenic mechanisms. Elevated ICP can compress brainstem structures, interfering with vasomotor centers and leading to dysregulation of autonomic control. Additionally, inflammatory mediators and blood breakdown products can directly affect cerebral vessel responsiveness to autoregulatory signals[24,25].

In severe IVH, elevated ICP can compress the brainstem, interfering with the vasomotor centers and leading to dysregulation of autonomic control. Additionally, the release of vasoactive substances during inflammation can directly affect the responsiveness of cerebral bloodvessels to autoregulatory signals[6,10]. Such impaired autoregulation may lead to a condition termed “autoregulatory failure”, in which CBF becomes completely reliant on systemic blood pressure. This can result in either excessive CBF (hyperemia) or insufficient CBF (ischemia). Both situations are harmful and may contribute to a further increase in ICP and secondary brain injury[6,8].

Genetic and protein biomarkers in severe IVH and ICP elevation

There is also molecular pathogenesis involving toxin-mediated pathways in IVH, some of which may serve as therapeutic targets for elevated ICP[16-19]. The genetic factors influencing IVH susceptibility and severity are increasingly being recognized. Polymorphisms in genes associated with blood pressure regulation (angiotensin-converting enzyme, angiotensinogen), coagulation and fibrinolysis (plasminogen activator inhibitor-1, tissue-type plasminogen activator), and inflammatory mediators (interleukin-6, tumor necrosis factor-α) have been linked to an elevated risk and adverse outcomes in hemorrhagic events, including IVH[17,18].

Research has shown that these polymorphisms can influence the severity and prognosis of such condition. Genetic variations affecting vascular tone regulation, such as those in the endothelin receptor and angiotensin receptor genes, as well as antioxidant defense mechanisms like superoxide dismutase and catalase, may also influence ICP dynamics and treatment response. Protein biomarkers, such as S100B, neurofilament light chain, and glial fibrillary acidic protein (GFAP), offer critical insights into the severity and prognosis of neurological diseases. S100B, released by astrocytes in response to injury, correlates with ICP elevation and patient outcomes[13,19]. Neurofilament light chain, a component of the neuronal cytoskeleton, reflects axonal damage and correlates with the severity of injury[20].

Although no significant correlation between CSF hemoglobin, tumor necrosis factor-α, and GFAP in the first weeks of CSF diversion in neonates with IVH[26], and the peripheral blood levels of GFAP and S-100B were not significantly increased in very preterm infants that developed IVH[27], such biomarker as GFAP indicates astrocyte damage and gliotic responses and might be indicative of brain injury in IVH[21]. In a prospective longitudinal cohort study of liquid biopsy samples from 99 preterm neonates with IVH with explainable machine learning (ML) techniques - including statistical, regularization, deep learning, decision trees, and Bayesian methods, targeted proteomic analyses were conducted using serum and urine samples. Forty-one significant independent protein markers such as neurofilament light chain were identified as predictive of post-haemorrhagic ventricular dilatation development and survival. However, the targeted proteomics combined with ML need further validation for clinical implementation[27].

ICP MONITORING IN SEVERE IVH

Accurate monitoring of ICP is fundamental to effective management of severe IVH. The monitoring approaches have evolved from basic clinical assessment to sophisticated multimodal integration.

ICP monitoring modalities in severe IVH

Invasive intraventricular monitoring remains the gold standard, mostly with external ventricular drainage (EVD), which provides both therapeutic drainage capability and direct pressure measurement[22]. Modern EVD systems incorporate advanced features including integrated sensors, antibiotic-impregnated catheters to reduce infection risk, and automated drainage algorithms. The combination of EVD with intraventricular fibrinolysis has shown particular promise in managing IVH-related hydrocephalus[23].

Parenchymal fiberoptic monitors offer an alternative invasive approach with lower infection risk but lack therapeutic drainage capability[28]. These devices provide compartment-specific data but may suffer from measurement drift over time. The strategic placement of fiber optic sensors in targeted areas enhances their capability to monitor localized pressures, especially when used in conjunction with parenchymal hematomas[24].

Non-invasive monitoring techniques have advanced significantly, providing alternative options when invasive monitoring is contraindicated or not available. Transcranial Doppler ultrasonography assesses CBF velocity and pulsatility index, providing indirect ICP estimation and autoregulation assessment[25]. Optic nerve sheath diameter measurement, utilizing ultrasound, detects elevated ICP through changes in the optic nerve sheath, with sensitivity about 90% and specificity of 60%-85% respectively in acute settings[22,29-33], and the variations ranged from 0.12 mm to 3.30 mm per 5 mmHg change in ICP[34], but the structural variations, the quantitative quality and the dynamic change (event with across different ethnicities) restrict the clinical usage.

Emerging technologies include near-infrared spectroscopy which measures cerebral oxygenation, and other advanced imaging techniques that assess structural and functional correlates of ICP elevation[25,35]. Innovative approaches such as wireless multiparametric sensors and biodegradable ICP monitors are good for promising continuous monitoring without the need for removal procedures[36,37].

Since different modalities of ICP monitoring may be of with different advantages and limitations (Table 2), and there might be pressure gradient between different intracranial location, the multimodal monitoring can represent the current standard of care, integrating ICP with cerebral perfusion pressure (CPP), brain tissue oxygenation, and other physiological parameters[29]. This comprehensive approach enables individualized management based on specific pathophysiology rather than generic targets. The integration of AI and ML algorithms facilitates pattern recognition and predictive analytics, potentially allowing preemptive intervention before critical ICP elevation occurs[30].

Table 2 Comparative analysis of intracranial pressure monitoring techniques in severe intraventricular hemorrhage.
Technique
Accuracy
Advantages
Limitations
IVH-specific utility
EVD with ICP integrationGold standardTherapeutic drainage + monitoringInfection risk (8%-15%), occlusion by clotEnables thrombolytic administration, preferred for obstructive hydrocephalus
Parenchymal fiberoptic± 2 mmHgLow infection risk, compartment-specific dataDrift > 1 mmHg/day, no therapeutic functionEssential for large parenchymal extensions (> 15 mL)
ONSD ultrasoundUnstable, sensitivity 90%, specificity 60%-85%Rapid bedside applicationOverestimates ICP in acute hydrocephalusBest for rapid triage when EVD unavailable
TCD pulsatility indexr = 0.68 with ICPAutoregulation assessmentOperator-dependent, limited temporal windowsCPP titration during vasopressor use
THERAPEUTIC INTERVENTIONS

The management of elevated ICP in severe IVH requires a multifaceted approach combining medical, surgical, and emerging therapeutic strategies.

Medical management

Medical management, which involves a bundle of treatment such as sedation, target temperature management and hyperosmolar therapy, forms the foundation of ICP control[10,38-41]. Sedation and neuromuscular blockade reduce the metabolic demand and prevent the increases in ICP from agitation or ventilator dyssynchrony[32]. Propofol and midazolam are commonly used sedatives, while vecuronium or cisatracurium provide neuromuscular blockade. However, careful titration is essential to avoid complications such as hypotension and prolonged weakness.

Blood pressure management maintains CPP while avoiding excessive hypertension that could increase bleeding risk or edema formation. The optimal CPP target may vary based on autoregulatory status, with personalized targets determined through continuous autoregulation monitoring, as evidenced by clinical studies. However, the optimal value of ICP or CPP is still controversial, even with the consensus of elective bundle management[4,35,42].

Hyperosmolar therapy, utilizing either mannitol or hypertonic saline, establishes an osmotic gradient that effectively decreases brain water content, as demonstrated in various studies comparing the effects of different concentrations of these agents[4,35,42,43]. The choice between agents depends on volume status, renal function, and electrolyte balance. Recent advances also include precision administration guided by volume status and continuous monitoring of serum osmolarity[4,44].

Surgical interventions

EVD remains the primary surgical intervention, offering both monitoring and therapeutic functions. Modern EVD systems incorporate advanced features including gravimetric systems, integrated monitoring, and safety mechanisms to prevent over-drainage[11,40,45]. In a prospective study of 52 patients with severe IVH, patients in the EVD with lumbar drainage group showed an 82% favorable (activities of daily living 1-3 score) prognosis after 3 months, which was significantly better than that of EVD alone (54%) without severe complications[40]. The combination of EVD with Ommaya drainage has been shown to be both safe and feasible for the treatment of IVH. The use of intraventricular fibrinolysis with either tissue-type plasminogen activator or urokinase in conjunction with EVD has been shown to improve clot clearance and decrease the duration of drainage[46,47].

Neuroendoscopic surgery offers minimally invasive clot evacuation under direct visualization[48,49]. This approach allows precise removal of obstructive clots while minimizing tissue damage. Recent technical advances include improved visualization systems, specialized instruments for clot removal, and navigation integration for optimal trajectory planning[49].

Decompressive craniectomy (DC) serves as a crucial salvage procedure for severe IVH complicated with refractory ICP elevation or massive cerebral edema despite maximal previous medical therapy[50-52]. Its efficacy across various deep hemorrhage locations is supported by the SWITCH trial[53]. Successful outcomes depend on appropriate patient selection, early surgery, a standardized large bone flap, and comprehensive perioperative management[10,11,52,53]. In cases with significant intraventricular cast, combining DC with EVD and fibrinolytics (per CLEAR-III insights) enhances clot clearance and may reduce shunt dependency. Although DC consistently lowers mortality, its effect on long-term functional recovery requires further investigation, highlighting the need for research into selection biomarkers, combined procedures, and ultra-early cranioplasty[10,11,52,53].

Emerging therapies

Glymphatic-enhanced therapies represent a novel approach targeting the brain’s waste clearance system[7,11,17]. Techniques including sleep modulation, specific body positions, and pharmacological enhancement show promise in improving clearance of blood products and reducing ICP. Anti-inflammatory agents target the neuroinflammatory response to intraventricular blood[7,11,17]. Phototherapy with photo-improvements of lymphatic drainage and clearing functions for IVH, the minocycline with its anti-inflammatory and neuroprotective properties, has shown promise in preclinical studies[54,55]. Interleukin-1 receptor antagonists represent another promising approach.

Iron chelation therapy represents a promising therapeutic strategy aimed at mitigating secondary brain injury following severe IVH. The core mechanism involves sequestering toxic free iron released from the breakdown of hemoglobin, which otherwise drives robust oxidative stress and neuronal damage. While traditional chelators like deferoxamine have shown potential, their clinical translation for central nervous system applications is limited by poor blood-brain barrier penetration and pharmacokinetic challenges. Emerging solutions focus on advanced drug delivery systems; for instance, encapsulating deferoxamine within chitosan-based nanocomposites has demonstrated enhanced drug loading, sustained release profiles, and improved cellular permeability in preclinical models, offering a viable pathway for effective brain targeting[56]. The deletion of microRNA-9-2 leads to embryonic cerebral hemorrhages and severe hydrocephalus and disrupting gene networks across a wide range of cell types in the developing brain, indicating the possible underappreciated and significant contributor to, and possibly as a therapeutic target for the disorder such as IVH[57].

FUTURE RESEARCH DIRECTIONS

The management of ICP in severe IVH continues to evolve with several promising research directions emerging. Advanced monitoring technologies with the multimodal monitoring (such as the cerebral microdialysis, intracranial electroencephalography and continuous biomarker assessment), wearable sensors, and implantable devices promise to transform patient management[4,58]. These technologies enable real-time assessment and remote monitoring, potentially facilitating earlier intervention and personalized treatment adjustment[59]. Personalized medicine approaches based on genetic profiling, biomarker status, and individual pathophysiology offer potential for optimized treatment[41]. Pharmacogenomic studies may guide drug selection and dosing based on individual metabolic characteristics and receptor polymorphisms. The new idea of AI and ML applications are rapidly advancing, offering predictive analytics, pattern recognition, and decision support[60]. These ideas and technologies can integrate multimodal data streams to identify early warning signs, predict treatment response, and optimize management strategies[61-63].

Novel therapeutic targets including microRNAs, exosomes, and targeted drug delivery systems represent promising avenues for intervention. These approaches offer potential for highly specific interventions with reduced side effects compared to conventional therapies. Large-scale clinical trials that prioritize patient-centered outcomes, including functional recovery, quality of life, and long-term cognitive function, are essential to advance the field, as they reflect the direct benefits and experiences of patients. Standardized protocols and collaborative networks will facilitate adequate recruitment and generalizable results. Global health initiatives addressing disparities in access to advanced monitoring and treatments are crucial for improving outcomes worldwide[46]. Simplified protocols, task-shifting approaches, and affordable technologies can make advanced care accessible in resource-limited settings.

CONCLUSION

The management of ICP in severe IVH has evolved significantly from basic concepts to sophisticated multimodal approaches, as evidenced by recent advancements in clinical scoring systems and the utilization of EVD techniques. The integration of advanced monitoring, targeted interventions, and personalized medicine strategies offers promise for improved outcomes in this challenging condition.

The Monro-Kellie 4.0 framework provides a comprehensive conceptual model incorporating CA, intracranial compliance, and glymphatic function. This advanced understanding facilitates targeted interventions addressing specific pathophysiological mechanisms rather than simply reacting to pressure elevations. Emerging new ideas of AI and technologies including ML, advanced imaging, and novel monitoring devices are transforming patient management. These innovations enable predictive analytics, personalized treatment, and continuous assessment beyond what was previously possible.

Future progress will depend on continued research, technological innovation, and global collaboration. Large-scale clinical trials, which are pivotal in transforming clinical medicine from experience-based to evidence-based, are instrumental in addressing healthcare disparities and improving outcomes for patients with severe IVH. These trials, conducted with rigorous quality control measures and involving multidisciplinary teams, ensure that the results are both reliable and applicable to a broad patient population.

References
1.  Bisson DA, Flaherty ML, Shatil AS, Gladstone D, Dowlatshahi D, Carrozzella J, Zhang L, Hill MD, Demchuck A, Aviv RI; STOP-IT and SPOTLIGHT Investigators. Original and Modified Graeb Score Correlation With Intraventricular Hemorrhage and Clinical Outcome Prediction in Hyperacute Intracranial Hemorrhage. Stroke. 2020;51:1696-1702.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 16]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
2.  Aspide R, Migliorino E, Mascia L, Rasulo FA. New Neuroradiological Biomarkers for Intraventricular Hemorrhage. Neurocrit Care. 2025;42:24-25.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
3.  Hanley DF, Lane K, McBee N, Ziai W, Tuhrim S, Lees KR, Dawson J, Gandhi D, Ullman N, Mould WA, Mayo SW, Mendelow AD, Gregson B, Butcher K, Vespa P, Wright DW, Kase CS, Carhuapoma JR, Keyl PM, Diener-West M, Muschelli J, Betz JF, Thompson CB, Sugar EA, Yenokyan G, Janis S, John S, Harnof S, Lopez GA, Aldrich EF, Harrigan MR, Ansari S, Jallo J, Caron JL, LeDoux D, Adeoye O, Zuccarello M, Adams HP Jr, Rosenblum M, Thompson RE, Awad IA; CLEAR III Investigators. Thrombolytic removal of intraventricular haemorrhage in treatment of severe stroke: results of the randomised, multicentre, multiregion, placebo-controlled CLEAR III trial. Lancet. 2017;389:603-611.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 353]  [Cited by in RCA: 344]  [Article Influence: 38.2]  [Reference Citation Analysis (0)]
4.  Barrit S, Al Barajraji M, El Hadwe S, Niset A, Foreman B, Park S, Lazaridis C, Shutter L, Appavu B, Kirschen MP, Montellano FA, Rass V, Torcida N, Pinggera D, Gilmore E, Ben-Hamouda N, Massager N, Bernard F, Robba C, Taccone FS; Neurocore-iMMM Research Group. Intracranial multimodal monitoring in neurocritical care (Neurocore-iMMM): an open, decentralized consensus. Crit Care. 2024;28:427.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
5.  Chen A, Zhang L, Chen F, Wang Y, Zhou R, Li J. Non-vascular structural-related intraventricular hemorrhage: Epidemiology and literature review. Clin Neurol Neurosurg. 2025;249:108700.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
6.  Garton ALA, Oh SE, Müller A, Avadhani R, Zhang C, Merkler AE, Awad I, Hanley D, Kamel H, Ziai WC, Murthy SB. Catheter Tract Hemorrhages and Intracerebral Hemorrhage Outcomes in the Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage Trial. Neurosurgery. 2024;94:334-339.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
7.  Rees P, Gale C, Battersby C, Williams C, Carter B, Sutcliffe A. Intraventricular Hemorrhage and Survival, Multimorbidity, and Neurodevelopment. JAMA Netw Open. 2025;8:e2452883.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 15]  [Reference Citation Analysis (0)]
8.  Sheth KN. Spontaneous Intracerebral Hemorrhage. N Engl J Med. 2022;387:1589-1596.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 228]  [Article Influence: 57.0]  [Reference Citation Analysis (0)]
9.  Vignolle GA, Bauerstätter P, Schönthaler S, Nöhammer C, Olischar M, Berger A, Kasprian G, Langs G, Vierlinger K, Goeral K. Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage. Int J Mol Sci. 2024;25:10304.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
10.  Picard NA. The Monro-Kellie doctrine in its own context. J Neurosurg. 2025;142:12-18.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
11.  Brasil S, Patriota GC, Godoy DA, Paranhos JL, Rubiano AM, Paiva WS. Monro-Kellie 4.0: moving from intracranial pressure to intracranial dynamics. Crit Care. 2025;29:229.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
12.  Bögli SY, Olakorede I, Beqiri E, Chen X, Lavinio A, Hutchinson P, Smielewski P. Cerebral perfusion pressure targets after traumatic brain injury: a reappraisal. Crit Care. 2025;29:207.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 12]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]
13.  Briggs JK, Stroh JN, Foreman B, Park S, Bennett TD, Albers DJ. Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care. IEEE Trans Biomed Eng. 2025;72:3474-3483.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
14.  Chang JJ, Kepplinger D, Metter EJ, Felbaum DR, Mai JC, Armonda RA, Aulisi EF. Pressure reactivity index for early neuroprognostication in poor-grade subarachnoid hemorrhage. J Neurol Sci. 2023;450:120691.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
15.  Svedung Wettervik T, Hånell A, Howells T, Lewén A, Enblad P. Autoregulatory Management in Traumatic Brain Injury: The Role of Absolute Pressure Reactivity Index Values and Optimal Cerebral Perfusion Pressure Curve Shape. J Neurotrauma. 2023;40:2341-2352.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 17]  [Article Influence: 5.7]  [Reference Citation Analysis (0)]
16.  Svedung Wettervik T, Howells T, Hånell A, Lewén A, Enblad P. The Optimal pressure reactivity index range is disease-specific: A comparison between aneurysmal subarachnoid hemorrhage and traumatic brain injury. J Clin Monit Comput. 2024;38:1089-1099.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
17.  Hauglund NL, Andersen M, Tokarska K, Radovanovic T, Kjaerby C, Sørensen FL, Bojarowska Z, Untiet V, Ballestero SB, Kolmos MG, Weikop P, Hirase H, Nedergaard M. Norepinephrine-mediated slow vasomotion drives glymphatic clearance during sleep. Cell. 2025;188:606-622.e17.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 131]  [Cited by in RCA: 119]  [Article Influence: 119.0]  [Reference Citation Analysis (0)]
18.  Gahn-Martinez D, Giannetto M, Chang E, Beam N, Tobin P, Plá V, Nedergaard M. Chronic Intraventricular Cannulation for the Study of Glymphatic Transport. eNeuro. 2025;12:ENEURO.0537-ENEU24.2025.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
19.  Vallet A, Gergelé L, Jouanneau E, Schmidt EA, Manet R. Assessment of Pressure-Volume Index During Lumbar Infusion Study: What Is the Optimal Method? Acta Neurochir Suppl. 2021;131:335-338.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
20.  Sidorenko I, Turova V, Rieger-Fackeldey E, Felderhoff-Müser U, Kovtanyuk A, Brodkorb S, Lampe R. Mathematical modeling of the hematocrit influence on cerebral blood flow in preterm infants. PLoS One. 2021;16:e0261819.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
21.  Lolansen SD, Rostgaard N, Capion T, Norager NH, Olsen MH, Juhler M, Mathiesen TI, MacAulay N. Posthemorrhagic Hydrocephalus in Patients with Subarachnoid Hemorrhage Occurs Independently of CSF Osmolality. Int J Mol Sci. 2023;24:11476.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 7]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
22.  Wang H, Chen X, You C, Wu K, Sun T. Navigating challenges in hydrocephalus following intraventricular hemorrhage: a comprehensive review of current evidence. Front Neurol. 2025;16:1630286.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
23.  Longatti P, Gioffrè G, Fiorindi A, Siddi F, Boaro A, Basaldella L, Sala F, Feletti A. The Cerebral Aqueduct Compliance: A Simple Morphometric Model. Oper Neurosurg. 2025;28:193-202.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
24.  Brasil S, Caldas J, Beishon L, Minhas JS, Nogueira RC. Cerebral Autoregulation Monitoring: A Guide While Navigating in Troubled Waters. Neurocrit Care. 2023;39:736-737.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 5]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
25.  Methner M, Schwaneberg B, Wikidal B, Schmid S, Zipfel J, Iller M, Schuhmann MU, Georgiev YH, Magunia H, Berger R, Schlensak C, Nordmeyer J, Neunhoeffer F. Cerebral autoregulation monitoring in neonates and infants after cardiac surgery with cardiopulmonary bypass - comparison of single ventricle and biventricular physiology. Front Pediatr. 2025;13:1540870.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
26.  Agarwal A, Zamorano M, Collier A, Oldham B, Riggs-Harpur K, Nguyen TL, Sandberg DI, Fletcher SA, Shah MN, Miller BA. Poor Correlation Between Inflammatory and Brain Injury Biomarkers After Neonatal Intraventricular Hemorrhage: A Pilot Study. World Neurosurg. 2025;200:124177.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
27.  Koce M, Jerin A, Plut D, Erčulj V, Kornhauser Cerar L, Grosek S. No increase in GFAP and S-100B in very preterm infants with mild periventricular leukomalacia or intraventricular hemorrhage: a pilot study. Croat Med J. 2022;63:564-569.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
28.  Qiu W, Jiang Q, Xiao G, Wang W, Shen H. Changes in intracranial pressure gradients between the cerebral hemispheres in patients with intracerebral hematomas in one cerebral hemisphere. BMC Anesthesiol. 2014;14:112.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 12]  [Cited by in RCA: 8]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
29.  Bastani Viarsagh S, Agar A, Lawlor M, Fraser C, Golzan M. Non-invasive assessment of intracranial pressure through the eyes: current developments, limitations, and future directions. Front Neurol. 2024;15:1442821.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
30.  Kim KH, Kang HK, Koo HW. Prediction of Intracranial Pressure in Patients with an Aneurysmal Subarachnoid Hemorrhage Using Optic Nerve Sheath Diameter via Explainable Predictive Modeling. J Clin Med. 2024;13:2107.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
31.  Vagal VS, Aziz YN, Gusler MT, Patel NM, Sekar P, Behymer TP, Woo D. Optic Nerve Sheath Diameter is not a predictor of functional outcomes in ICH Patients. J Stroke Cerebrovasc Dis. 2024;33:107831.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
32.  Melo RH, Gioli-Pereira L, Machado FS, Robba C. Optic Nerve Sheath Diameter Sonography for the Diagnosis of Increased Intracranial Pressure in Nontraumatic Neurocritically Ill Patients: a Diagnostic Accuracy Systematic Review and Meta-Analysis. Neurocrit Care. 2025;43:659-670.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 2]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
33.  Netteland DF, Aarhus M, Sandset EC, Sorteberg A, Padayachy L, Helseth E, Brekken R. Real-Time Automated Measurements of Optic Nerve Sheath Diameter for Noninvasive Assessment of Intracranial Pressure in Aneurysmal Subarachnoid Hemorrhage. Neurocrit Care. 2025;42:1043-1053.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
34.  Azevedo H, Neto LL, Berhanu D. Intraindividual Optic Nerve Sheath Variation and Intracranial Pressure Changes: A Systematic Review and Meta-Analysis. J Neuroimaging. 2025;35:e70083.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
35.  Srichawla BS. Future of neurocritical care: Integrating neurophysics, multimodal monitoring, and machine learning. World J Crit Care Med. 2024;13:91397.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 3]  [Cited by in RCA: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (5)]
36.  Tang H, Yang Y, Liu Z, Li W, Zhang Y, Huang Y, Kang T, Yu Y, Li N, Tian Y, Liu X, Cheng Y, Yin Z, Jiang X, Chen X, Zang J. Injectable ultrasonic sensor for wireless monitoring of intracranial signals. Nature. 2024;630:84-90.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 80]  [Reference Citation Analysis (0)]
37.  Pandit AS, China M, Jain R, Jalal AHB, Jelen M, Joshi SB, Skye C, Abdi Z, Aldabbagh Y, Alradhawi M, Banks PDW, Stasiak MK, Tan EBC, Yildirim FC, Ruffle JK, D’Antona L, Asif H, Thorne L, Watkins LD, Nachev P, Toma AK. The utility of MRI radiological biomarkers in determining intracranial pressure. Sci Rep. 2024;14:23238.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
38.  Mason A, Malik A, Ginglen JG.   Hypertonic Fluids (Archived). 2023 Apr 17. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025.  [PubMed]  [DOI]
39.  Qiu W, Chen M, Wang X, Qiu W, Chen M, Wang X. Pre-hospital mild therapeutic hypothermia for patients with severe traumatic brain injury. Brain Inj. 2022;36:72-76.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
40.  Qiu WS, Zhao P, Xu HS, Hao ZL. [Clinical Study of External Ventricular Drainage Combined with Lumbar Cistern Drainage in the Treatment of Spontaneous Intra-Ventricular Hemorrhage]. Yazhou Waike Shoushu Bingli Yanjiu. 2021;10:29-33.  [PubMed]  [DOI]  [Full Text]
41.  Wasilewski D, Truckenmueller P, Früh A, Vajkoczy P, Wolf S; Earlydrain Study Group. Evaluating extreme temperature values and patient outcomes in aneurysmal subarachnoid hemorrhage: Post-hoc insights from the Earlydrain trial. J Crit Care. 2025;89:155104.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
42.  Essibayi MA, Ibrahim Abdallah O, Mortezaei A, Zaidi SE, Vaishnav D, Cherian J, Parikh G, Altschul D, Labib M. Natural History, Pathophysiology, and Recent Management Modalities of Intraventricular Hemorrhage. J Intensive Care Med. 2024;39:813-819.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 11]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
43.  Shetty RM. Advancing the Management of Nontraumatic Brain Injuries with Hypertonic Saline and Mannitol. Indian J Crit Care Med. 2024;28:634-636.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
44.  Vitt JR, Tsetsou S, Galarza L, Sarwal A, Rajagopalan S. Determination of Cerebral Autoregulation at the Bedside: A Narrative Review. Crit Care Med. 2025;53:e2062-e2075.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
45.  Chen IW, Lin HJ, Hung KC. Letter to the Editor Regarding "Treatment of Intraventricular Hemorrhage with External Ventricular Drainage and Fibrinolysis: A Comprehensive Systematic Review and Meta-Analysis of Complications and Outcome". World Neurosurg. 2024;183:267-268.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
46.  Zhao X, Chen R, You C, Liu Y, Fan C, Guo R. Neurosurgical Intervention in Primary Intraventricular Hemorrhage: Experience from a Center in China. J Korean Neurosurg Soc. 2025;68:551-557.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
47.  Zhu T, Fu J, Zang D, Wang Z, Ye X, Wu X, Hu J. Combination of Conventional EVD and Ommaya Drainage for Intraventricular Hemorrhage (IVH). Clin Interv Aging. 2024;19:1-10.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
48.  Sugimoto K, Kawano R. Letter: Analysis of the Efficacy of Neuroendoscopic Hematoma Removal Combined With Ventricular Lavage in Severe Intraventricular Hemorrhage-A Prospective Randomized Controlled Study. Neurosurgery. 2025;97:e168.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
49.  Yang F, Xu W, Tang X, Yang Y, Ku BA, Zhang Y, Yang X, Xie W, Hui X. The efficacy of neuroendoscopic surgery treating patients with thalamic hemorrhage accompanied by intraventricular hematoma. Front Surg. 2024;11:1472830.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
50.  Chen H, McIntyre MK, Khunte M, Malhotra A, Labib M, Colasurdo M, Gandhi D. Minimally Invasive Surgery Versus Conventional Neurosurgical Treatments for Patients with Subcortical Supratentorial Intracerebral Hemorrhage: A Nationwide Study of Real-World Data from 2016 to 2022. Diagnostics (Basel). 2025;15:1308.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
51.  Autio AH, Paavola J, Tervonen J, Lång M, Huuskonen TJ, Huttunen J, Kärkkäinen V, von Und Zu Fraunberg M, Lindgren AE, Koivisto T, Kurola J, Jääskeläinen JE, Kämäräinen OP. Should individual timeline and serial CT/MRI panels of all patients be presented in acute brain insult cohorts? A pilot study of 45 patients with decompressive craniectomy after aneurysmal subarachnoid hemorrhage. Acta Neurochir (Wien). 2023;165:3299-3323.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
52.  Qiu W, Guo C, Shen H, Chen K, Wen L, Huang H, Ding M, Sun L, Jiang Q, Wang W. Effects of unilateral decompressive craniectomy on patients with unilateral acute post-traumatic brain swelling after severe traumatic brain injury. Crit Care. 2009;13:R185.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 115]  [Cited by in RCA: 101]  [Article Influence: 5.9]  [Reference Citation Analysis (0)]
53.  Polymeris AA, Lang MF, Hakim A, Bütikofer L, Fung C, Beyeler S, Z’Graggen W, Strbian D, Vajkoczy P, Schubert GA, Gruber A, Mielke D, Roelz R, Siepen B, Seiffge DJ, Selim MH, Raabe A, Beck J, Fischer U; SWITCH Study Investigators. Effect of Decompressive Craniectomy According to Location of Deep Intracerebral Hemorrhage: A SWITCH Trial Analysis. Stroke. 2026;57:12-19.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 3]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
54.  Li D, Liu S, Yu T, Liu Z, Sun S, Bragin D, Shirokov A, Navolokin N, Bragina O, Hu Z, Kurths J, Fedosov I, Blokhina I, Dubrovski A, Khorovodov A, Terskov A, Tzoy M, Semyachkina-Glushkovskaya O, Zhu D. Photostimulation of brain lymphatics in male newborn and adult rodents for therapy of intraventricular hemorrhage. Nat Commun. 2023;14:6104.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 15]  [Cited by in RCA: 42]  [Article Influence: 14.0]  [Reference Citation Analysis (0)]
55.  Wan Y, Holste KG, Ye F, Hua Y, Keep RF, Xi G. Minocycline attenuates hydrocephalus and inhibits iron accumulation, ependymal damage and epiplexus cell activation after intraventricular hemorrhage in aged rats. Exp Neurol. 2023;369:114523.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 3]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
56.  Wimalasiri AKDVK, Kalansuriya P, Espósito BP, Pereira TA, Zhao Y, Godevithana JC, Siriwardana K, Mohotti M, Lacerda E. Desferrioxamine mesylate encapsulated novel chitosan based polymeric nanocomposites: insights into drug interaction, biocompatibility, cytotoxicity, cell permeability, antioxidant and controlled release properties. RSC Adv. 2025;15:40311-40327.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
57.  Fregoso SP, Atapattu M, Callies LK, Monet D, Leonardson A, Clark L, Xu S, Cherry TJ. Loss of miR-9-2 Causes Cerebral Hemorrhage and Hydrocephalus by Widespread Disruption of Cell-Type-Specific Neurodevelopmental Gene Networks. bioRxiv. 2025;2025.07.31.668014.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
58.  Vu EL, Brown CH 4th, Brady KM, Hogue CW. Monitoring of cerebral blood flow autoregulation: physiologic basis, measurement, and clinical implications. Br J Anaesth. 2024;132:1260-1273.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 48]  [Reference Citation Analysis (0)]
59.  Courtney Y, Hochstetler A, Lehtinen MK. Choroid Plexus Pathophysiology. Annu Rev Pathol. 2025;20:193-220.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 19]  [Cited by in RCA: 19]  [Article Influence: 19.0]  [Reference Citation Analysis (0)]
60.  Starr R, Borger J.   Periventricular and Intraventricular Hemorrhage. 2023 Aug 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025.  [PubMed]  [DOI]
61.  Schulz LN, Varghese A, Michenkova M, Wedemeyer M, Pindrik JA, Leonard JR, Garcia-Bonilla M, McAllister JP, Cassady K, Wilson RK, Mardis ER, Limbrick DD Jr, Isaacs AM. Neuroinflammatory pathways and potential therapeutic targets in neonatal post-hemorrhagic hydrocephalus. Pediatr Res. 2025;97:1345-1357.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
62.  de Moraes FM, Adissy ENB, Rocha E, Barros FCD, Freitas FGR, Miranda M, Valiente RA, de Andrade JBC, Chaddad-Neto FEA, Silva GS. Multimodal monitoring intracranial pressure by invasive and noninvasive means. Sci Rep. 2023;13:18404.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 19]  [Reference Citation Analysis (0)]
63.  Narula G, Boss J, Seric M, Baumann D, Salles JP, Fröhlich J, Baumann D, Keller E, Willms J. Evaluation of machine learning algorithms for noninvasive intracranial pressure estimation using near infrared spectroscopy as a covariate. Technol Health Care. 2024;32:937-949.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Critical care medicine

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade B

Novelty: Grade B

Creativity or Innovation: Grade B

Scientific Significance: Grade B

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P-Reviewer: Domi R, Professor, Albania S-Editor: Hu XY L-Editor: A P-Editor: Zhang L