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Liu C, Huai R, Xiang Y, Han X, Chen Z, Liu Y, Liu X, Liu H, Zhang H, Wang S, Hao L, Bo Y, Luo Y, Wang Y, Wang Y. High cerebrospinal fluid lactate concentration at 48 h of hospital admission predicts poor outcomes in patients with tuberculous meningitis: A multicenter retrospective cohort study. Front Neurol 2022; 13:989832. [PMID: 36277931 PMCID: PMC9583930 DOI: 10.3389/fneur.2022.989832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Objective This study aimed to analyze the cerebrospinal fluid (CSF) parameters affecting the outcomes of patients with tuberculous meningitis (TBM). Methods This is a multi-center, retrospective, cohort study involving 81 patients who were diagnosed with TBM and treated in Haihe Clinical College of Tianjin Medical University, Tianjin Medical University General Hospital, and General Hospital of Air Force PLA from January 2016 to December 2019. Baseline data, Glasgow Coma Scale (GCS) score, and clinical presentations of all patients were collected at admission. CSF samples were collected at 48 h, 1, 2, and 3 weeks after admission. CSF lactate, adenosine deaminase, chloride, protein, glucose levels and intracranial pressure were measured. After a follow-up of 16.14 ± 3.03 months, all patients were assessed using the modified Rankin Scale (mRS) and divided into good (mRS scores of 0–2 points) and poor outcome groups (mRS scores of 3–6 points). The differences in patients' baseline data, GCS score, clinical presentations, and levels of CSF parameters detected at 48 h, 1, 2, and 3 weeks after admission between two groups were compared. Statistically significant variables were added to the binary logistic regression model to identify the factors impacting the outcomes of patients with TBM. Receiver operating characteristic (ROC) curve was used to assess the predictive ability of the model. Results The CSF lactate level exhibited a decreasing trend within 3 weeks of admission in the two groups. For the within-group comparison, statistically significant differences in the lactate level was found in both groups between four different time points. A binary logistic regression model revealed that CSF lactate level at 48 h after admission, age, and GSC score on admission were independently associated with the outcomes of patients with TBM. ROC curve analysis showed that the area under the ROC curve (AUC) was 0.786 for the CSF lactate level (48 h), 0.814 for GCS score, and 0.764 for age. Conclusion High CSF lactate level at 48 h after admission is one of the important factors for poor outcomes in patients with TBM.
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Affiliation(s)
- Chenchao Liu
- Department of Neurology, Haihe Clinical School, Tianjin Medical University, Tianjin, China
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Ruixue Huai
- Department of Neurology, Tianjin Jinnan Hospital, Tianjin, China
| | - Yijia Xiang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Xu Han
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Zixiang Chen
- Department of Neurology, Haihe Clinical School, Tianjin Medical University, Tianjin, China
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
| | - Yuhan Liu
- Department of Neurosurgery, People's Liberation Army Air Force Medical Center, Beijing, China
| | - Xingjun Liu
- Department of Neurology, Haihe Clinical School, Tianjin Medical University, Tianjin, China
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
| | - Huiquan Liu
- Department of Neurology, Haihe Clinical School, Tianjin Medical University, Tianjin, China
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
| | - Hong Zhang
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
- Rehabilitation Department, Haihe Clinical School, Tianjin Medical University, Tianjin, China
| | - Sihan Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Lingyu Hao
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Yin Bo
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Yuanbo Luo
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
| | - Yiyi Wang
- Department of Neurology, Haihe Clinical School, Tianjin Medical University, Tianjin, China
- TCM Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin, China
- Yiyi Wang
| | - Yi Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
- Key Laboratory of Post-trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Tianjin, China
- *Correspondence: Yi Wang
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Elghity A, El Halaby W, Raafat W, Sorour O, Atallah A. Assessment of Sustained Systemic Inflammatory Response Syndrome and CSF Markers as Predictive Values Associated with Shunt-Dependent Hydrocephalus after Aneurysmal Subarachnoid Hemorrhage. Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.8925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Aim of the study: This study was conducted to detect incidence and risk factors of shunt-dependent hydrocephalus, including Systemic Inflammatory Response Syndrome.
Patients and methods: After obtaining ethical approval from the research ethics committee of Cairo University, this study was conducted in two phases, phase I in the form of follow up study to detect the incidence of shunt dependent hydrocephalus in patients with ruptured subarachnoid aneurysm then phase II in the form of comparative one to detect the risk factors of acquisition of shunt dependent hydrocephalus and detect the predictive role of SIRS in SDH. The study included 90 patients with ruptured subarachnoid aneurysms followed up in the department of neurosurgery of Cairo university hospital from April 2018 to April 2020.
Results: The incidence of shunt-dependent hydrocephalus was 28% among the studied patients with significant association with high-grade SIRS, Fisher score, Hunt and Hess score, and leukocytosis. The CSF white blood cells and protein were significantly higher in the hydrocephalus group. Also, there was significant hypernatremia among the hydrocephalic group.
Conclusion: Despite the study's analytical design, we observed a link between high fisher, SIRS, hypernatremia, and shunt-dependent hydrocephalus in aneurysmal SAH patients. Serum sodium, CSF WBCs, and protein may all be used to predict HC.
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Mason S, Solomons R. CSF Metabolomics of Tuberculous Meningitis: A Review. Metabolites 2021; 11:661. [PMID: 34677376 PMCID: PMC8541251 DOI: 10.3390/metabo11100661] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 02/07/2023] Open
Abstract
From the World Health Organization's global TB report for 2020, it is estimated that in 2019 at least 80,000 children (a particularly vulnerable population) developed tuberculous meningitis (TBM)-an invariably fatal disease if untreated-although this is likely an underestimate. As our latest technologies have evolved-with the unprecedented development of the various "omics" disciplines-a mountain of new data on infectious diseases have been created. However, our knowledge and understanding of infectious diseases are still trying to keep pace. Metabolites offer much biological information, but the insights they permit can be difficult to derive. This review summarizes current metabolomics studies on cerebrospinal fluid (CSF) from TBM cases and collates the metabolic data reported. Collectively, CSF metabolomics studies have identified five classes of metabolites that characterize TBM: amino acids, organic acids, nucleotides, carbohydrates, and "other". Taken holistically, the information given in this review serves to promote the mechanistic action of hypothesis generation that will drive and direct future studies on TBM.
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Affiliation(s)
- Shayne Mason
- Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom 2531, South Africa
| | - Regan Solomons
- Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa;
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Postels DG, Soldatos A, LaRovere KL. Outcomes measures in children after acute central nervous system infections and malaria. Curr Opin Pediatr 2019; 31:756-762. [PMID: 31693584 DOI: 10.1097/mop.0000000000000823] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
PURPOSE OF REVIEW Acute central nervous system (CNS) infections in children result in significant mortality and neurologic morbidity worldwide. This article summarizes the recent pediatric literature published on outcomes measures used after acute infectious meningitis, encephalitis, and cerebral malaria, and highlights ongoing research efforts to standardize outcomes measurements. Search terms were geared toward functional, cognitive, behavioral, and other outcome assessments. RECENT FINDINGS Recent data suggest that, depending on microbiological cause, there are differences in currently used outcome measures following acute CNS infections. Outcomes assessments include a variety of formal psychological tests (structured interviews and neuropsychological tests of cognitive and motor functioning) and dichotomized or ordinal scales. Standardization of outcome measures, however, is lacking. Global efforts to standardize outcomes that encompass both the child and family are ongoing. SUMMARY Centers worldwide can track and measure a variety of cognitive, behavioral, and functional outcomes after acute CNS infections. Standardized documentation and coding of clinically important outcomes is needed. Further research to evaluate effective practices using acute adjunctive and rehabilitation therapies will be aided by outcome measure standardization.
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Affiliation(s)
- Douglas G Postels
- Department of Neurology, Children's National Health System, Washington, District of Columbia
| | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
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Mariani CL, Nye CJ, Tokarz DA, Green L, Lau J, Zidan N, Early PJ, Guevar J, Muñana KR, Olby NJ, Miles S. Cerebrospinal fluid lactate in dogs with inflammatory central nervous system disorders. J Vet Intern Med 2019; 33:2701-2708. [PMID: 31549740 PMCID: PMC6872616 DOI: 10.1111/jvim.15606] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 08/20/2019] [Indexed: 02/01/2023] Open
Abstract
Background Cerebrospinal fluid (CSF) lactate is frequently used as a biomarker in humans with inflammatory central nervous system (CNS) disorders including bacterial meningitis and autoimmune disorders such as multiple sclerosis. Hypothesis Cerebrospinal fluid lactate concentrations are increased in a subset of dogs with inflammatory CNS disorders. Animals One hundred two client‐owned dogs diagnosed with inflammatory CNS disease. Methods Case series. Cases were identified both prospectively at the time of diagnosis and retrospectively by review of a CSF biorepository. Cerebrospinal fluid lactate was analyzed with a commercially available, handheld lactate monitor. Subcategories of inflammatory disease were created for comparison (eg, steroid‐responsive meningitis arteritis, meningoencephalitis of unknown etiology). Results Cerebrospinal fluid lactate concentrations were above reference range in 47% of dogs (median, 2.5 mmol/L; range, 1.0‐11.7 mmol/L). There was no significant difference in lactate concentrations between disease subcategories (P = .48). Significant but weak correlations were noted between CSF lactate concentration and nucleated cell count (r = .33, P < .001), absolute large mononuclear cell count (r = .44, P < .001), absolute small mononuclear cell count (r = .39, P < .001), absolute neutrophil cell count (r = .24, P = .01), and protein (r = .44, P < .001). No correlation was found between CSF lactate concentration and CSF red blood cell count (P = .58). There was no significant association of CSF lactate concentration with survival (P = .27). Conclusions and Clinical Importance Cerebrospinal fluid lactate concentrations could serve as a rapid biomarker of inflammatory CNS disease in dogs.
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Affiliation(s)
- Christopher L Mariani
- Comparative Neuroimmunology and Neuro-oncology Laboratory, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Carolyn J Nye
- Comparative Neuroimmunology and Neuro-oncology Laboratory, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Debra A Tokarz
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Lauren Green
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Jeanie Lau
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Natalia Zidan
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Peter J Early
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Julien Guevar
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Karen R Muñana
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Natasha J Olby
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Sarita Miles
- Veterinary Specialty Hospital of the Carolinas, Cary, North Carolina
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