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The fungal taxa belonging to the Clavicipitaceae (Hypocreales, Ascomycota) are widely distributed and include diverse saprophytic, symbiotic and pathogenic species that are associated with soils, insects, plants, fungi and invertebrates. In this study, we identified two new fungal taxa belonging to the family Clavicipitaceae that were isolated from soils collected in China. Morphological characterisation and phylogenetic analyses showed that the two species belong to Pochonia (Pochoniasinensissp. nov.) and a new genus for which we propose Paraneoaraneomycesgen. nov. in Clavicipitaceae.
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Tumefactive demyelinating lesion (TDL) is an immune-mediated disease which can be misdiagnosed as glioma. At present, there is no study comparing difference between the two disorders at the cellular level. Here, we perform integrative and comparative single-cell RNA sequencing (ScRNA-seq) transcriptomic analysis on TDL and glioma lesions. At single-cell resolution, TDL is comprised primarily of immune cells, which is completely different from glioma. The integrated analysis reveals a TDL-specific microglial subset involving in B cell activation and proliferation. Comparative analysis highlights remyelination function of glial cells and demyelination function of T cells in TDL. Subclustering and pseudotime trajectory analysis of T cells in TDL reveal their heterogeneity and diverse functions involving in TDL pathogenesis and recovery process. Our study identifies substantial differences between TDL and glioma at single-cell resolution. The observed heterogeneity and potentially diverse functions of cells in TDL may be critical in disease progression.
Subject(s)
Glioma , Single-Cell Analysis , Gene Expression Profiling , Glioma/diagnosis , Glioma/genetics , Humans , Neuroglia , TranscriptomeABSTRACT
BACKGROUND: This study aims to establish an integrated model based on clinical, laboratory, radiological, and pathological factors to predict the postoperative recurrence of atypical meningioma (AM). MATERIALS AND METHODS: A retrospective study of 183 patients with AM was conducted. Patients were randomly divided into a training cohort (n = 128) and an external validation cohort (n = 55). Univariable and multivariable Cox regression analyses, the least absolute shrinkage and selection operator (LASSO) regression analysis, time-dependent receiver operating characteristic (ROC) curve analysis, and evaluation of clinical usage were used to select variables for the final nomogram model. RESULTS: After multivariable Cox analysis, serum fibrinogen >2.95 g/L (hazard ratio (HR), 2.43; 95% confidence interval (CI), 1.05-5.63; p = 0.039), tumor located in skull base (HR, 6.59; 95% CI, 2.46-17.68; p < 0.001), Simpson grades III-IV (HR, 2.73; 95% CI, 1.01-7.34; p = 0.047), tumor diameter >4.91 cm (HR, 7.10; 95% CI, 2.52-19.95; p < 0.001), and mitotic level ≥4/high power field (HR, 2.80; 95% CI, 1.16-6.74; p = 0.021) were independently associated with AM recurrence. Mitotic level was excluded after LASSO analysis, and it did not improve the predictive performance and clinical usage of the model. Therefore, the other four factors were integrated into the nomogram model, which showed good discrimination abilities in training cohort (C-index, 0.822; 95% CI, 0.759-0.885) and validation cohort (C-index, 0.817; 95% CI, 0.716-0.918) and good match between the predicted and observed probability of recurrence-free survival. CONCLUSION: Our study established an integrated model to predict the postoperative recurrence of AM.
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Objective: Early identification for the need of tracheostomy (TT) in aneurysmal subarachnoid hemorrhage (aSAH) patients remains one of the main challenges in clinical practice. Our study aimed to establish and validate a nomogram model for predicting postoperative TT in aSAH patients. Methods: Patients with aSAH receiving active treatment (interventional embolization or clipping) in our institution between June 2012 and December 2018 were retrospectively included. The effects of patients' baseline information, aneurysm features, and surgical factors on the occurrence of postoperative TT were investigated for establishing a nomogram in the training cohort with 393 patients. External validation for the nomogram was performed in the validation cohort with 242 patients. Results: After multivariate analysis, higher age, high neutrophil-to-lymphocyte ratio (NLR), high World Federation of Neurological Surgeons Scale (WFNS), and high Barrow Neurological Institute (BNI) grade were left in the final logistic regression model. The predictive power of the model was excellent in both training cohort and validation cohort [area under the curve (AUC): 0.924, 95% confidence interval [CI]: 0.893-0.948; AUC: 0.881, 95% CI: 0.833-0.919]. A nomogram consisting of these factors had a C-index of 0.924 (95% CI: 0.869-0.979) in the training cohort and was validated in the validation cohort (C-index: 0.881, 95% CI: 0.812-0.950). The calibration curves suggested good match between prediction and observation in both training and validation cohorts. Conclusion: Our study established and validated a nomogram model for predicting postoperative TT in aSAH patients.
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BACKGROUND: To evaluate the value of serum Lactate Dehydrogenase (LDH) level in predicting recurrence and the overall survival (OS) of glioma patients. MATERIALS AND METHODS: A total number of 216 patients with glioma in our institution were retrospectively recruited to analyze the relationship between preoperative serum LDH level and prognosis. RESULTS: Overall, the median age of patients was 46.0 (31.0-57.0) years old; 53.7% (116 of 216) of the enrolled patients were male. Multivariate analysis revealed that serum LDH level (odds ratio [OR] = 0.97, 95% confidence interval [CI] = 0.96-0.98, P < 0.001) and World Health Organization (WHO) grade (grade II: OR = 19.64, 95%CI = 5.56-69.35, P < 0.001; grade III: OR =1 9.50, 95%CI = 7.08-53.73, P < 0.001; grade IV: OR = 15.23, 95%CI = 4.94-46.97, P < 0.001) were significant and independent of 1-year Progression-free survival (PFS) after adjusting for confounders. The predictive performance of serum LDH level was represented with area under curve (AUC) = 0.741, 95%CI = 0.677-0.798. Multivariate Cox analysis revealed that LDH level (hazard ratio [HR] = 2.56, 95%CI = 1.59-4.15, P < 0.001) and WHO grade (grade II: HR = 4.58, 95%CI = 0.56-37.23, P = 0.155; grade III: HR = 16.35, 95%CI = 2.16-123.80, P = 0.007; grade IV: HR = 42.13, 95%CI = 5.83-304.47, P < 0.001) remained associated with survival at 2-year follow-up. At 3-year follow-up, lymphocyte count (HR = 0.68, 95%CI = 0.51-0.91, P = 0.008), LDH level (HR = 2.21, 95%CI = 1.40-3.49, P = 0.001), and WHO grade (grade II: HR = 1.44, 95%CI = 0.44-4.68, P = 0.543; grade III: HR = 4.99, 95%CI = 1.68-14.87, P = 0.004; grade IV: HR = 16.96, 95%CI = 6.13-46.93, P < 0.001) remained associated with survival in multivariate Cox analysis. CONCLUSION: Our study demonstrated that preoperative serum LDH level could serve as a reliable indicator for predicting prognosis of glioma patients. Further multicenter studies are still required to verify our findings.
Subject(s)
Brain Neoplasms/blood , Glioma/blood , L-Lactate Dehydrogenase/blood , Adult , Biomarkers, Tumor/blood , Brain Neoplasms/mortality , Brain Neoplasms/pathology , Disease Progression , Female , Glioma/mortality , Glioma/pathology , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Survival RateABSTRACT
BACKGROUND: To evaluate the prognostic value of serum inflammatory biomarkers and develop a risk stratification model for high-grade glioma (HGG) patients based on clinical, laboratory, radiological, and pathological factors. MATERIALS AND METHODS: A retrospective study of 199 patients with HGG was conducted. Patients were divided into a training cohort (n = 120) and a validation cohort (n = 79). The effects of potential associated factors on the overall survival (OS) time were investigated and the benefits of serum inflammatory biomarkers in improving predictive performance was assessed. Univariable and multivariable Cox regression analyses, the least absolute shrinkage and selection operator (LASSO) regression analysis, and support vector machines (SVM) were used to select variables for the final nomogram model. RESULTS: After multivariable Cox, LASSO, and SVM analysis, in addition to 3 other clinico-pathologic factors, platelet-to-lymphocyte ratio (PLR) >144.4 (hazard ratio [HR], 2.05; 95% confidence interval [CI], 1.25-3.38; P = 0.005) were left for constructing the predictive model. The model with PLR exhibited a better predictive performance than that without them in both cohorts. The nomogram based on the model showed an excellent ability of discrimination in the entire cohort (C-index, 0.747; 95%CI, 0.706-0.788). The calibration curves showed good consistency between the predicted and observed survival probability. CONCLUSION: Our study confirmed the prognostic value of serum inflammatory biomarkers including PLR and established a comprehensive scoring system for the OS prediction in HGG patients.
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BACKGROUND: Inflammation has been believed to be related to the development of cerebral vasospasm following aneurysmal subarachnoid hemorrhage (aSAH). A potential biomarker for vascular inflammation that is well recognized is the lipoprotein-associated phospholipase A2 (Lp-PLA2). However, whether Lp-PLA2 can predict the occurrence of symptomatic cerebral vasospasm (SCV) in aSAH patients is still unknown. Thus, this study aimed to assess the value of Lp-PLA2 for predicting SCV in patients with aSAH. METHODS: Between March 2017 and April 2018, we evaluated 128 consecutive aSAH patients who were admitted in the First Affiliated Hospital of Fujian Medical University. Their Lp-PLA2 level was obtained within 24 h of the initial bleeding. Factors might be related to SCV were analyzed. RESULTS: Compared to patients without SCV, those with SCV (9.4%, 12/128) had significantly higher Lp-PLA2 level. Multivariate logistic analysis revealed that worse modified Fisher grade (OR = 10.08, 95% CI = 2.04-49.86, P = 0.005) and higher Lp-PLA2 level (OR = 6.66, 95% CI = 1.33-3.30, P = 0.021) were significantly associated with SCV, even after adjustment for confounders. Based on the best threshold, Lp-PLA2 had a sensitivity of 83.3% and a specificity of 51.7% for predicting SCV, as shown by the receiver operating characteristic curve analysis. In the poor World Federation of Neurosurgical Societies grade patient sub-group, patients with Lp-PLA2 > 200 µg/L had significantly higher SCV rate than that of patients having Lp-PLA2 ≤ 200 µg/L. CONCLUSION: The admission Lp-PLA2 level might be a helpful predictor for SCV in aSAH.
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BACKGROUND: The prevalence rates of freezing of gait (FOG) in Parkinson's disease (PD) vary widely, ranging from 14.0 to 55.1%. Our aim is to calculate the overall prevalence of FOG in all PD patients with different disease durations and severities. METHODS: Using Medline/PubMed/Embase, we carried out a systematic literature search for studies reporting the PD and clinically relevant FOG. RESULTS: After primary screening, a total of 35 studies were identified and further analyzed for inclusion into the analysis, and 29 studies fulfilled the quality criteria and included in this meta-analysis. The overall prevalence of FOG in PD was 39.9% (95% CI 35.3-44.5%). The FOG identified by the freezing of gait questionnaire item 3 may be more prevalent (43.8%, 95% CI 38.5-49.1%) than the FOG identified by the Unified Parkinson's Disease Rating Scale item 14 (36.0%, 95% CI 29.0-43.1%). Disease duration and severity are both the clinical features associated with the FOG. The highest FOG prevalence rate in PD patients was seen in patients with disease durations ≥ 10 years, at 70.8%, followed that of PD patients with disease durations ≥ 5 years (53.3%), and PD patients with disease durations < 5 years (22.4%). FOG presented in 28.4% of PD patients with Hoehn and Yahr staging (H&Y) score ≤ 2.5, and in 68.4% of PD patients with H&Y score ≥ 2.5. CONCLUSION: This meta-analysis confirms that the prevalence of FOG in PD is considerable, and highlights the need for accurate identification of FOG in PD.
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BACKGROUND Controversies exist in imaging modalities for predicting adenoma consistency. In this study, we proposed a method of predicting consistency by magnetic resonance T2-sequence imaging based on adenoma to cerebellar peduncle signal (TCTI) ratio. MATERIAL AND METHODS Between January 2013 and May 2017, 191 consecutive patients with pituitary adenoma diagnosed at our institution were retrospectively studied. The consistency grade for each lesion was assigned. And the TCTI ratio based on preoperative and postoperative T2-weighted imaging was calculated. RESULTS The median TCTI ratio was 1.55, 1.28, and 1.25 for soft, fibrous, and hard adenomas, respectively. The differences were significant for all groups (p<0.001). A cutoff value of 1.38 for soft adenomas was found to be 80.2% sensitive and 88.7% specific. The median ratio of the outermost layer of residual tumor was 1.25 (SD±0.408, 95% CI 1.27-1.42). It was less than that ratio of the upper, lower quarter, and middle region of adenoma, respectively, and the inter-group differences were all statistically significant with p≤0.001. The extent of resection for the soft group was significantly greater than that of the hard group (85.3% vs. 70.6%, p=0.011). Analysis of Variance (ANOVA) revealed that the consistency grade was the influencing factor of degree of resection. p=0.003. CONCLUSIONS The TCTI ratio showed a good correlation with pituitary adenoma consistency. We also determined the optimal ratio of the residual adenoma.
Subject(s)
Magnetic Resonance Imaging/methods , Pituitary Neoplasms/diagnostic imaging , Pituitary Neoplasms/pathology , Adenoma/diagnostic imaging , Adenoma/pathology , Adult , Aged , Cerebellar Neoplasms/diagnostic imaging , Cerebellar Neoplasms/pathology , Cerebellum/diagnostic imaging , Cerebellum/pathology , China , Female , Humans , Male , Middle Aged , Middle Cerebellar Peduncle/diagnostic imaging , Middle Cerebellar Peduncle/metabolism , Pituitary Neoplasms/metabolism , Postoperative Period , Preoperative Period , Prognosis , Retrospective Studies , Sensitivity and Specificity , White Matter/diagnostic imaging , White Matter/pathologyABSTRACT
Postoperative infection is an important factor contributing to poor prognosis after surgical treatment of cerebral cavernous malformations (CCM). However, the predictive factors of postoperative infection-related complications in adult patients with CCM have still not been well established. To identify possible predictive factors of postoperative infection after CCM surgery, we retrospectively evaluated the data of CCM patients who were enrolled into our prospective registry database. The relationship between preoperative characteristics of patients and postoperative infection-related complications was analyzed. A total of 167 CCM patients were included in this study. The average age was 39.69 ± 15.27 years old, and 21 of them had postoperative infection. For patients with postoperative infection, the Glasgow Coma Scale (GCS), Modified Rankin Scale (mRS), white blood cell (WBC) count, and neutrophil (NEU) count were all significantly higher than those of the group without infection. Our preliminary results showed that NEU count might have significant predictive value of intracranial infection, and GCS, mRS and CCM presenting with hemorrhage were all factors significantly related to postoperative pneumonia. Preoperative GCS, mRS and CCM presenting with hemorrhage might be used as predictive factors for postoperative pneumonia after CCM surgery, while preoperative NEU count can be used as an important predictive factor for postoperative intracranial infection after CCM surgery. Further large-scale studies are still needed to confirm this finding.
Subject(s)
Hemangioma, Cavernous, Central Nervous System/surgery , Infections/epidemiology , Infections/etiology , Leukocyte Count , Neutrophils , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Adult , Databases, Factual , Female , Glasgow Coma Scale , Humans , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Treatment Outcome , Young AdultABSTRACT
BACKGROUND: Although a variety of risk factors of pneumonia after clipping or coiling of the aneurysm (post-operative pneumonia [POP]) in patients with aneurysmal subarachnoid hemorrhage (aSAH) have been studied, the predictive model of POP after aSAH has still not been well established. Thus, the aim of this study was to assess the feasibility of using admission neutrophil to lymphocyte ratio (NLR) to predict the occurrence of POP in aSAH patients. METHODS: We evaluated 711 aSAH patients who were enrolled in a prospective observational study and collected admission blood cell counts data. We analyzed available demographics and baseline variables for these patients and analyzed the correlation of these factors with POP using Cox regression. After screening out the prognosis-related factors, the predictive value of these factors for POP was further assessed. RESULTS: POP occurred in 219 patients (30.4%) in this cohort. Patients with POP had significantly higher NLR than those without (14.11â±â8.90 vs. 8.80â±â5.82, Pâ<â0.001). Multivariate analysis revealed that NLR remained a significant factor independently associated with POP following aSAH after adjusting for possible confounding factors, including the age, World Federation of Neurosurgical Societies (WFNS) grade, endovascular treatment, and ventilator use. And the predictive value of NLR was significantly increased after WFNS grade was combined with NLR (NLR vs. WFNS gradeâ×âNLR, Pâ=â0.011). CONCLUSIONS: Regardless of good or poor WNFS grade, patients having NLR >10 had significantly worse POP survival rate than patients having NLR ≤10. NLR at admission might be helpful as a predictor of POP in aSAH patients.
Subject(s)
Pneumonia , Subarachnoid Hemorrhage , Humans , Lymphocytes , Neutrophils , Pneumonia/etiology , Prognosis , Treatment OutcomeABSTRACT
BACKGROUND: The relationships between lipoprotein-associated phospholipase A2 (Lp-PLA2) level, vasospasm, and clinical outcome of patients with aneurysmal subarachnoid hemorrhage (aSAH) are still unclear. OBJECTIVE: To identify the associations between admission Lp-PLA2 and vasospasm following subarachnoid hemorrhage and the clinical outcome of aSAH. METHODS: A total of 103 aSAH patients who had Lp-PLA2 level obtained within 24 h postbleeding were included. The relationships between Lp-PLA2 level, vasospasm, and clinical outcome were analyzed. RESULTS: Vasospasm was observed in 52 patients (50.49%). Patients with vasospasm had significantly higher Lp-PLA2 level than those without (P < .001). Both modified Fisher grade (P = .014) and Lp-PLA2 level (P < .001) were significant predictors associated with vasospasm. The Z test revealed that power of Lp-PLA2 was significantly higher than that of modified Fisher grade in predicting vasospasm (Z = 2.499, P = .012). At 6-mo follow-up, 44 patients (42.72%) had unfavorable outcome and 36 patients (34.95%) died. The World Federation of Neurosurgical Societies (WFNS) grade and Lp-PLA2 level were both significant predictors associated with 6-mo unfavorable outcome and mortality (all P < .001). The predictive values of Lp-PLA2 for unfavorable outcome and mortality at 6-mo tended to be lower than those of the WFNS grade, but the differences were not statistically significant (P = .366 and 0.115, respectively). Poor-grade patients having Lp-PLA2 > 200 µg/L had significantly worse 6-mo survival rate than poor-grade patients having Lp-PLA2 ≤ 200 µg/L (P = .001). CONCLUSION: The Lp-PLA2 might be useful as a novel predictor in aSAH patients. A total of 30 poor-grade patients; those with elevated Lp-PLA2 level have higher risk of 6-mo mortality compared to those without.
Subject(s)
1-Alkyl-2-acetylglycerophosphocholine Esterase/blood , Patient Admission/trends , Subarachnoid Hemorrhage/blood , Subarachnoid Hemorrhage/mortality , Vasospasm, Intracranial/blood , Vasospasm, Intracranial/mortality , Adult , Aged , Biomarkers/blood , Cohort Studies , Female , Follow-Up Studies , Hospitalization/trends , Humans , Male , Middle Aged , Predictive Value of Tests , Prospective Studies , Subarachnoid Hemorrhage/diagnostic imaging , Treatment Outcome , Vasospasm, Intracranial/diagnostic imagingABSTRACT
BACKGROUND: High-sensitivity C-reactive protein (hs-CRP) is a well-recognized biomarker of neurologic complications and clinical outcome of stroke patients. However, whether hs-CRP can predict the occurrence of acute kidney injury (AKI) in aneurysmal subarachnoid hemorrhage (aSAH) patients is still unclear. The objective of this study was to assess the feasibility of using serum hs-CRP level to predict the occurrence of AKI in aSAH patients. METHODS: One hundred sixty-four aSAH patients were enrolled into a prospective observational study. AKI was diagnosed using the modified Kidney Disease Improving Global Outcomes (KDIGO) standard. The relationship between serum hs-CRP level at admission and occurrence of AKI was analyzed. RESULTS: AKI occurred in 17 patients (10.4%) in this cohort. Patients with AKI had significantly higher hs-CRP levels than those without. The mortality of the AKI group tends to be higher than that of the non-AKI group, but the difference was not statistically significant (4/17 (23.5%) vs. 13/147 (8.8%), P = 0.081). After adjusting for possible confounding factors including World Federation of Neurosurgical Societies grade, diabetes, and serum creatinine, multivariate analysis revealed that serum hs-CRP level and antibiotic therapy were both significant factors independently associated with AKI following aSAH (serum hs-CRP: OR = 1.2, 95% confidence interval (CI) = 1.1-1.3, P = 0.003; antibiotic therapy: OR = 5.8, 95%CI = 1.6-20.7, P = 0.007). Receiver operating characteristic curve analysis showed that hs-CRP had a sensitivity of 76.5% and a specificity of 64.6% for predicting the development of AKI on the basis of the best thresholds. The post hoc log-rank test revealed that patients having serum hs-CRP level > 6.6 mg/L had a significantly higher AKI rate than patients having serum hs-CRP level ≤ 6.6 mg/L (P = 0.001). CONCLUSIONS: Serum hs-CRP level might be helpful as a predictor for the development of AKI in aSAH patients. Delayed cerebral ischemia occurrence rate and mortality of patients with AKI tend to be higher than those of patients without in this cohort; however, they were not significantly different.
Subject(s)
Acute Kidney Injury/blood , C-Reactive Protein/analysis , Intracranial Aneurysm/complications , Subarachnoid Hemorrhage/complications , Acute Kidney Injury/etiology , Adult , Aged , Biomarkers/blood , Female , Humans , Male , Middle Aged , Sensitivity and SpecificityABSTRACT
BACKGROUND: Lactate dehydrogenase (LDH) is a nonspecific inflammatory biomarker and has been reported to be useful in predicting community-acquired pneumonia and Mycoplasma pneumoniae pneumonia. The connection between LDH level and postoperative pneumonia (POP) in patients with aneurysmal subarachnoid hemorrhage (aSAH) is still unclear. The aim of this study was to assess feasibility of predicting POP in patients with aSAH using LDH. METHODS: Admission serum LDH level was obtained in 647 patients with aSAH enrolled in a prospective observational study. The relationship between LDH level and POP was analyzed. RESULTS: POP occurred in 187 patients (28.90%). Patients with POP had significantly higher LDH levels than patients without POP (261.26 ± 126.51 U/L vs. 189.00 ± 69.20 U/L, P < 0.001). Multivariate analysis showed that LDH level remained a significant independent factor associated with POP in patients with aSAH, even after adjusting for possible confounding factors. Receiver operating characteristic curve analysis showed that LDH level had a sensitivity of 63.6% and a specificity of 71.3% for predicting POP based on best threshold of 203.5 U/L. There were additive interactions between elevated LDH level and World Federation of Neurosurgical Societies grade or mechanical ventilator use. When patients were classified by World Federation of Neurosurgical Societies grade or mechanical ventilator use, regardless of World Federation of Neurosurgical Societies grade (Subject(s)
Biomarkers/blood
, L-Lactate Dehydrogenase/blood
, Pneumonia/etiology
, Postoperative Complications/blood
, Subarachnoid Hemorrhage/complications
, Subarachnoid Hemorrhage/surgery
, Adult
, Aged
, Female
, Humans
, Male
, Middle Aged
, Pneumonia/blood
, Sensitivity and Specificity
ABSTRACT
Background and Purpose- Hypoxic-ischemic brain damage is a well-recognized physiopathologic mechanism after aneurysmal subarachnoid hemorrhage (aSAH). The Ngb (neuroglobin) is a hemoprotein predominantly expressed in the brain with a high affinity for oxygen. Relationship between serum Ngb level and brain metabolism in aSAH patients has not been investigated previously. Methods- Thirty-six consecutive severe aSAH patients (Glasgow Coma Scale score ≤8 on admission) with multimodal neuromonitoring and 36 matched healthy subjects were included. Serum Ngb level was analyzed in combination with other time-matched cerebral microdialysis parameters, brain tissue oxygen tension, and 12-month neurological outcomes. Results- Serum Ngb level was correlated positively with cerebral microdialysis parameters and brain tissue oxygen tension ( P<0.001). Poor functional outcome (modified Rankin Scale score >3) 12 months after aSAH was associated with higher Ngb level but independent of age, sex, and disease severity ( P<0.001). A similar association was found between high Ngb level and neuropsychological test results indicative of impairments in cognition, visual conceptualization, and frontal executive functions ( P<0.001). Conclusions- Ngb may be a potential biomarker for reflecting brain tissue oxygen tension, brain metabolism, and functional outcome in severe aSAH patients and merits further study in the context of aSAH.
Subject(s)
Brain Chemistry , Neuroglobin/blood , Subarachnoid Hemorrhage/metabolism , Aged , Biomarkers/blood , Female , Glasgow Coma Scale , Humans , Male , Microdialysis , Middle Aged , Nervous System Diseases/etiology , Neuropsychological Tests , Oxygen Consumption , Recovery of Function , Subarachnoid Hemorrhage/psychology , Subarachnoid Hemorrhage/therapy , Treatment OutcomeABSTRACT
BACKGROUND: The teaching of endoscopic endonasal surgery has always been difficult because of the complex structure of the nasal cavity, and the unique endoscopic view angle and endoscopic surgical tools. In this study, we have designed a 3D printed multi-color model for training of endoscopic endonasal surgery, and obtained preliminary application results. METHODS: The 3D printed model contained facial skin, bony skeleton, internal carotid artery, turbinate, optic chiasm, and a special sellar base with appropriate colors. After it was printed, six otolaryngologists and neurosurgeons assessed the model. Twenty graduate students and residents from otolaryngology or neurosurgery, without prior experience in endoscopic endonasal surgery were recruited and consented for the training. The training results were recorded. The subjective feeling of participants in terms of using 3D printed model in surgical training was investigated after training. RESULTS: All experts strongly agreed or agreed that the 3D printed model has realistic anatomical structure of nasal passage and appropriate colors for different parts, and is a good teaching tool. As the trainees practiced more, the rate and quality of endoscopic operation increased gradually. Compared to the first practice, all recorded training parameters were improved significantly (all P < 0.05). All participants strongly agreed or agreed that they benefited from the training and the 3D printed model can inspire interest and enthusiasm of endoscopic endonasal surgical training. CONCLUSION: This 3D printed model has realistic anatomical structure of nasal passage and appropriate colors for different parts, and could be a good teaching tool of endoscopic endonasal surgery.
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OBJECTIVE: The relationship between lipoprotein-associated phospholipase A2 (Lp-PLA2) and various cardiovascular and cerebrovascular diseases is inconsistent. However, the connection between Lp-PLA2 level and delayed cerebral ischemia (DCI) following aneurysmal subarachnoid hemorrhage (aSAH) remains unclear. The objective of this study was to investigate the relationships between the Lp-PLA2 levels in the early stages of aSAH and the occurrence of DCI. METHODS: The authors evaluated 114 patients with aSAH who were enrolled into a prospective observational cohort study. Serum Lp-PLA2 level at admission (D0), on the first morning (D1), and on the second morning of hospitalization (D2) were determined using commercial enzyme-linked immunosorbent assay kits. The relationship between Lp-PLA2 levels and DCI was analyzed. RESULTS: Forty-three patients with aSAH (37.72%) experienced DCI. Mean serum Lp-PLA2 level decreased from 183.06 ± 61.36 µg/L at D0 (D0 vs D1, p = 0.303), to 175.32 ± 51.49 µg/L at D1 and 167.24 ± 54.10 µg/L at D2 (D0 vs D2, p = 0.040). The Lp-PLA2 level changes (D0-D1 and D0-D2) were comparable between patients with and without DCI. Multivariate model analysis revealed Lp-PLA2 level (D0) > 200 µg/L was a more significant factor of DCI compared with Lp-PLA2 (D1) and Lp-PLA2 (D2), and was a strong predictor of DCI (odds ratio [OR] 6.24, 95% confidence interval [CI] 2.05-18.94, p = 0.001) after controlling for World Federation of Neurosurgical Societies (WFNS) grade (OR 3.35, 95% CI 1.18-9.51, p = 0.023) and modified Fisher grade (OR 6.07, 95% CI 2.03-18.14, p = 0.001). WFNS grade (area under the curve [AUC] = 0.792), modified Fisher grade (AUC = 0.731), and Lp-PLA2 level (D0; AUC = 0.710) were all strong predictors of DCI. The predictive powers of WFNS grade, modified Fisher grade, and Lp-PLA2 (D0) were comparable (WFNS grade vs Lp-PLA2: p = 0.233; modified Fisher grade vs Lp-PLA2: p = 0.771). The poor-grade patients with Lp-PLA2 (D0) > 200 µg/L had significantly worse DCI survival rate than poor-grade patients with Lp-PLA2 (D0) ≤ 200 µg/L (p < 0.001). CONCLUSIONS: The serum level of Lp-PLA2 was significantly elevated in patients with DCI, and decreased within the first 2 days after admission. Lp-PLA2 in the early stages of aSAH might be a novel predictive biomarker for the occurrence of DCI.