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Fernández-Vaquero MA, De Luis-Cabezón N, García-Aroca MA, Álvarez-Avello JM, Vives-Santacana M, Greif R, Martinez-Hurtado ED, Ly-Liu D. Pilot multicenter study to determine the utility of point-of-care ultrasound to predict difficulty of tracheal intubation using videolaryngoscopy with the McGrath™ Mac videolaryngoscope. Front Med (Lausanne) 2024; 11:1406676. [PMID: 39099593 PMCID: PMC11294227 DOI: 10.3389/fmed.2024.1406676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/09/2024] [Indexed: 08/06/2024] Open
Abstract
Background Clinical airway screening tests used to predict difficulties during airway management have low sensitivity and specificity. Point-of-care airway ultrasound has described measurements related to problems with difficult direct laryngoscopy. Nevertheless, the correlation between ultrasound parameters and videolaryngoscopy has not been published yet. The aim of this multicenter, prospective observational pilot study was to evaluate the applicability of clinical parameters and ultrasound measurements to find potential tracheal intubation difficulties when videolaryngoscopy is used. Methods Preoperatively, six clinical airway assessments were performed: (1) modified Mallampati score, (2) thyromental distance, (3) sternomental distance, (4) interincisal distance, (5) upper lip bite test, and (6) neck circumference. Six ultrasound parameters were measured in awake patients: (1) distance from skin to hyoid bone, (2) distance from skin to epiglottis, (3) hyomental distance in neutral head position, (4) hyomental distance in head-extended position, (5) distance from skin to the deepest part of the palate, and (6) sagittal tongue area. And finally, there was one ultrasound measure obtained in anesthetized patients, the compressed sagittal tongue area during videolaryngoscopy. The difficulty for tracheal intubation using a McGrath™ Mac videolaryngoscope, the percentage of glottic opening, and Cormack-Lehane grade were also assessed. Results In this cohort of 119 subjects, tongue dimensions, particularly the sagittal tongue area, showed a robust association with increased intubation difficulty using videolaryngoscopy. A multiparametric model combining the following three ultrasound variables in awake patients: (a) the distance from skin to epiglottis, (b) the distance from skin to the deepest part of the palate, and (c) the sagittal tongue area, yielded a sensitivity of 92.3%, specificity of 94.5%, positive predictive value of 82.8%, and negative predictive value of 97.8% (p < 0.001). Conclusion Point-of-care airway ultrasound emerges as a more useful tool compared to traditional clinical scales to anticipate possible challenges during videolaryngoscopic intubation.
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Affiliation(s)
- Miguel A. Fernández-Vaquero
- Department of Anesthesiology, Clínica Universidad de Navarra, Madrid, Spain
- School of Medicine, Navarra University, Navarra, Spain
| | | | - Miguel A. García-Aroca
- Department of Anesthesiology, Clínica Universidad de Navarra, Madrid, Spain
- School of Medicine, Navarra University, Navarra, Spain
| | - Jose M. Álvarez-Avello
- Department of Anesthesiology, Clínica Universidad de Navarra, Madrid, Spain
- School of Medicine, Navarra University, Navarra, Spain
| | | | - Robert Greif
- School of Medicine, University of Bern, Bern, Switzerland
- School of Medicine, Sigmund Freud University Vienna, Vienna, Austria
| | | | - Diana Ly-Liu
- Department of Anesthesiology, Basurto University Hospital, Bilbao, Spain
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Han Y, Guo C, Zhu Q, Liu Z, Zhang Y, Li S, Shen L. Risk Factors and Prognosis of Perioperative Atrial Fibrillation in Elderly Patients Undergoing VATS Lung Surgery: A Retrospective Cohort Study. Vasc Health Risk Manag 2024; 20:289-299. [PMID: 38978993 PMCID: PMC11230124 DOI: 10.2147/vhrm.s463648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 06/26/2024] [Indexed: 07/10/2024] Open
Abstract
Background Atrial fibrillation (AF) has become the most common postoperative arrhythmia of thoracic surgery. This study aimed to investigate the risk factors and complications of perioperative atrial fibrillation (PoAF) in elderly patients who underwent video-assisted thoracoscopic surgery (VATS). Methods Data were collected from patients who underwent VATS between January 2013 and December 2022 at Peking Union Medical College Hospital (PUMCH). Univariable analyses and multivariable logistic regression analyses were used to determine the factors correlated with PoAF. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the indicators to predict PoAF. Results The study enrolled 2920 patients, with a PoAF incidence of 5.2% (95% CI 4.4%-6.0%). In the logistic regression analyses, male sex (OR=1.496, 95% CI 1.056-2.129, P=0.024), left atrial anteroposterior dimension (LAD) ≥40 mm (OR=2.154, 95% CI 1.235-3.578, P=0.004), hypertension (HTN) without regular treatment (OR=2.044, 95% CI 0.961-3.921, P=0.044), a history of hyperthyroidism (OR=4.443, 95% CI 0.947-15.306, P=0.030), surgery of the left upper lobe (compared to other lung lobes) (OR=1.625, 95% CI 1.139-2.297, P=0.007), postoperative high blood glucose (BG) (OR=2.482, 95% CI 0.912-5.688, P=0.048), and the time of chest tube removal (per day postoperatively) (OR=1.116, 95% CI 1.038-1.195, P=0.002) were found to be significantly associated with PoAF. The area under the ROC curve was 0.707 (95% CI 0.519-0.799). 86.9% patients were successfully converted to sinus rhythm. Compared with the non-PoAF group, the PoAF group had significantly greater risks of prolonged air leakage, postoperative acute coronary syndrome, longer ICU stays, and longer hospital stays. Conclusion Male sex, LAD≥40 mm, HTN without regular treatment, a history of hyperthyroidism, surgery of the left upper lobe, postoperative BG, and the time of chest tube removal were associated with PoAF. These findings may help clinicians identify high-risk patients and take preventive measures to minimize the incidence and adverse prognosis of PoAF.
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Affiliation(s)
- Yue Han
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Chao Guo
- Department of Thoracic Surgery, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Qianmei Zhu
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Zijia Liu
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Yuelun Zhang
- Department of Medical Research Center, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Shanqing Li
- Department of Thoracic Surgery, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
| | - Le Shen
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, People’s Republic of China
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Agraz M, Mantzoros C, Karniadakis GE. ChatGPT-Enhanced ROC Analysis (CERA): A shiny web tool for finding optimal cutoff points in biomarker analysis. PLoS One 2024; 19:e0289141. [PMID: 38598521 PMCID: PMC11006156 DOI: 10.1371/journal.pone.0289141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/06/2024] [Indexed: 04/12/2024] Open
Abstract
Diagnostic tests play a crucial role in establishing the presence of a specific disease in an individual. Receiver Operating Characteristic (ROC) curve analyses are essential tools that provide performance metrics for diagnostic tests. Accurate determination of the cutoff point in ROC curve analyses is the most critical aspect of the process. A variety of methods have been developed to find the optimal cutoffs. Although the R programming language provides a variety of package programs for conducting ROC curve analysis and determining the appropriate cutoffs, it typically needs coding skills and a substantial investment of time. Specifically, the necessity for data preprocessing and analysis can present a significant challenge, especially for individuals without coding experience. We have developed the CERA (ChatGPT-Enhanced ROC Analysis) tool, a user-friendly ROC curve analysis web tool using the shiny interface for faster and more effective analyses to solve this problem. CERA is not only user-friendly, but it also interacts with ChatGPT, which interprets the outputs. This allows for an interpreted report generated by R-Markdown to be presented to the user, enhancing the accessibility and understanding of the analysis results.
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Affiliation(s)
- Melih Agraz
- Department of Statistics, Giresun University, Giresun, Turkiye
- Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America
| | - Christos Mantzoros
- Department of Medicine, Boston VA Healthcare System, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America
| | - George Em Karniadakis
- Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America
- School of Engineering, Brown University, Providence, Rhode Island, United States of America
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Wang HR, Ma J, Guo YZ, Liu KF, Han B, Wang MH, Zou FH, Wang J, Tian Z, Qu HQ, Huang XL, Liu F. Combination of Albumin/Fibrinogen Ratio and Admission Hunt-Hess Scale Score as an Independent Predictor of Clinical Outcome in Aneurysmal Subarachnoid Hemorrhage. World Neurosurg 2024; 181:e322-e329. [PMID: 37839575 DOI: 10.1016/j.wneu.2023.10.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 10/08/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND The albumin/fibrinogen ratio (AFR) is an independent predictor of clinical outcomes of some diseases; however, the prognostic value of AFR and the admission Hunt-Hess (HH) score is still unclear for patients with an aneurysmal subarachnoid hemorrhage (aSAH). This study aimed to assess the relationship between the AFR-HH score and 6-month outcomes of aSAH patients. METHODS The clinical characteristics of aSAH patients admitted to our department between December 2017 and December 2021 were retrospectively analyzed. The candidate risk factors were screened using univariate regression analysis, and the independence of the resultant risk factors was evaluated by binary logistic regression analysis. The predictive value of the combined AFR and HH score for unfavorable outcomes was assessed using receiver operating characteristic curve analysis. RESULTS A total of 112 aSAH patients were included. Binary logistic regression analysis showed the perioperative period AFR, Glasgow coma scale score, and admission HH score were independent risk factors for unfavorable outcomes for aSAH patients. The receiver operating characteristic curve analysis showed the predictive capacity of AFR plus the admission HH score outperformed the AFR, Glasgow coma scale score, and admission HH scale alone and the combination of the AFR and Glasgow coma scale score. CONCLUSIONS A low AFR during the perioperative period is associated with unfavorable outcomes for aSAH patients at 6 months. The combination of the AFR and admission HH scale score provides superior predictive capacity to either the AFR or HH scale score alone.
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Affiliation(s)
- Hao Ran Wang
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jie Ma
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Yi Zhuo Guo
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Ke Feng Liu
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Bin Han
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Ming Hai Wang
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Fei Hui Zou
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jian Wang
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Zhen Tian
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - He Qi Qu
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Xian Long Huang
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Fang Liu
- Department of Neurosurgery, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China.
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Abboud T, Rohde V, Mielke D. Mini review: Current status and perspective of S100B protein as a biomarker in daily clinical practice for diagnosis and prognosticating of clinical outcome in patients with neurological diseases with focus on acute brain injury. BMC Neurosci 2023; 24:38. [PMID: 37474905 PMCID: PMC10360330 DOI: 10.1186/s12868-023-00807-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 06/13/2023] [Indexed: 07/22/2023] Open
Abstract
Prognosticating the clinical outcome of neurological diseases is essential to guide treatment and facilitate decision-making. It usually depends on clinical and radiological findings. Biomarkers have been suggested to support this process, as they are deemed objective measures and can express the extent of tissue damage or reflect the degree of inflammation. Some of them are specific, and some are not. Few of them, however, reached the stage of daily application in clinical practice. This mini review covers available applications of the S100B protein in prognosticating clinical outcome in patients with various neurological disorders, particularly in those with traumatic brain injury, spontaneous subarachnoid hemorrhage and ischemic stroke. The aim is to provide an understandable picture of the clinical use of the S100B protein and give a brief overview of the current limitations that require future solutions.
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Affiliation(s)
- Tammam Abboud
- Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
| | - Veit Rohde
- Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Dorothee Mielke
- Department of Neurosurgery, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
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Zhu Q, Duan H, Liu Z, Li Y, Zhang Y, Shen L, Huang Y. The incidence and risk factors of perioperative cardiac complications in noncardiac major surgery in high-altitude areas: A prospective trial in Tibet autonomous region, China. Front Cardiovasc Med 2023; 10:1158711. [PMID: 37077733 PMCID: PMC10106712 DOI: 10.3389/fcvm.2023.1158711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
BackgroundThe risk of perioperative cardiac complications (PCCs) in patients living in high-altitude areas may increase with more adverse clinical outcomes due to the special geographical environment, which has not yet been studied. We aimed to determine the incidence and analyze risk factors for PCCs in adult patients undergoing major noncardiac surgery in the Tibet Autonomous Region.MethodsThis prospective cohort study enrolled resident patients from high-altitude areas receiving major noncardiac surgery in Tibet Autonomous Region People's Hospital in China. Perioperative clinical data were collected, and the patients were followed up until 30 days after surgery. The primary outcome was PCCs during the operation and within 30 days after the surgery. Logistic regression was used to build the prediction models for PCCs. A receiver operating characteristic (ROC) curve was used to evaluate the discrimination. A prognostic nomogram was constructed to generate a numerical probability of PCCs for patients undergoing noncardiac surgery in high-altitude areas.ResultsAmong the 196 patients living in high-altitude areas involved in this study, 33 (16.8%) suffered PCCs perioperatively and within 30 days after surgery. Eight clinical factors were identified in the prediction model, including older age (P = 0.028), extremely high altitude above 4,000 m (P = 0.442), preoperative metabolic equivalent (MET) < 4 (P = 0.153), history of angina within 6 months (P = 0.037), history of great vascular disease (P = 0.073), increased preoperative high sensitivity C-reactive protein (hs-CRP) (P = 0.072), intraoperative hypoxemia (P = 0.025) and operation time >3 h (P = 0.043). The area under the curve (AUC) was 0.766 (95% confidence interval: 0.785–0.697). The score calculated from the prognostic nomogram predicted the risk of PCCs in high-altitude areas.ConclusionThe incidence of PCCs in resident patients living in high-altitude areas who underwent noncardiac surgery was high, and the risk factors included older age, high altitude above 4,000 m, preoperative MET < 4, history of angina within 6 months, history of great vascular disease, increased preoperative hs-CRP, intraoperative hypoxemia, and operation time >3 h. The prognostic nomogram of this study could help to assess the PCCs for patients in high-attitude areas undergoing noncardiac surgery.Clinical Trial RegistrationClinicalTrials.gov ID: NCT04819698.
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Affiliation(s)
- Qianmei Zhu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hanyu Duan
- Department of Anesthesiology, Tibet Autonomous Region People’s Hospital, Lhasa, China
| | - Zijia Liu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Correspondence: Zijia Liu Labaciren
| | - Yi Li
- Department of Anesthesiology, Tibet Autonomous Region People’s Hospital, Lhasa, China
| | - Yuelun Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Le Shen
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuguang Huang
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Two-sample nonparametric test for proportional reversed hazards. Comput Stat Data Anal 2023. [DOI: 10.1016/j.csda.2023.107708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Liu Z, Xu G, Zhang Y, Duan H, Zhu Y, Xu L. Preoperative Transthoracic Echocardiography Predicts Cardiac Complications in Elderly Patients with Coronary Artery Disease Undergoing Noncardiac Surgery. Clin Interv Aging 2022; 17:1151-1161. [PMID: 35942335 PMCID: PMC9356610 DOI: 10.2147/cia.s369657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/23/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Zijia Liu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Guangyan Xu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yuelun Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Hanyu Duan
- Department of Anesthesiology, Tibet Autonomous Region People’s Hospital, Lhasa, People’s Republic of China
| | - Yuanyuan Zhu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Li Xu
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Correspondence: Li Xu, Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, People’s Republic of China, Tel +86 10 6915 2020, Fax +86 10 6915 5580, Email
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Holmes DT, Mobini M, McCudden CR. Reproducible manuscript preparation with RMarkdown application to JMSACL and other Elsevier Journals. J Mass Spectrom Adv Clin Lab 2021; 22:8-16. [PMID: 34939050 PMCID: PMC8662334 DOI: 10.1016/j.jmsacl.2021.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION With the rising complexity of modern multimarker analytical techniques and notable scientific publication retractions required for erroneous statistical analysis, there is increasing awareness of the importance of research transparency and reproducibility. The development of mature open-source tools for literate programming in multiple langauge paradigms has made fully-reproducible authorship possible. OBJECTIVES We describe the procedure for manuscript preparation using RMarkdown and the R statistical programming language with application to JMSACL or any other Elsevier journal. METHODS An instructional manuscript has been prepared in the RMarkdown markup language with stepwise directions on preparing sections, subsections, lists, tables, figures and reference management in an entirely reproducible format. RESULTS From RMarkdown code, a submission-ready PDF is generated and JMSACL-compatible LaTeX code is generated. These can be uploaded to the Editorial Manager. CONCLUSION A completely reproducible manuscript preparation pipeline using the R and RMarkdown is described.
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Affiliation(s)
- Daniel T. Holmes
- St. Paul’s Hospital, Department of Pathology and Laboratory Medicine, 1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- University of British, Columbia Department of Pathology and Laboratory Medicine, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
| | - Mahdi Mobini
- St. Paul’s Hospital, Department of Pathology and Laboratory Medicine, 1081 Burrard St., Vancouver, BC V6Z 1Y6, Canada
- Providence Health Digital Products, 1190 Hornby St., Vancouver, BC V6Z 2K5, Canada
| | - Christopher R. McCudden
- Department of Pathology and Laboratory Medicine, Ottawa Hospital, General Campus, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
- Department of Pathology and Laboratory Medicine, University of Ottawa, Canada
- Eastern Ontario Regional Laboratory Association, Canada
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Jiang L, Li Z, Hayward JJ, Hayashi K, Krotscheck U, Todhunter RJ, Tang Y, Huang M. Genomic Prediction of Two Complex Orthopedic Traits Across Multiple Pure and Mixed Breed Dogs. Front Genet 2021; 12:666740. [PMID: 34630503 PMCID: PMC8492927 DOI: 10.3389/fgene.2021.666740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 09/06/2021] [Indexed: 11/20/2022] Open
Abstract
Canine hip dysplasia (CHD) and rupture of the cranial cruciate ligament (RCCL) are two complex inherited orthopedic traits of dogs. These two traits may occur concurrently in the same dog. Genomic prediction of these two diseases would benefit veterinary medicine, the dog’s owner, and dog breeders because of their high prevalence, and because both traits result in painful debilitating osteoarthritis in affected joints. In this study, 842 unique dogs from 6 breeds with hip and stifle phenotypes were genotyped on a customized Illumina high density 183 k single nucleotide polymorphism (SNP) array and also analyzed using an imputed dataset of 20,487,155 SNPs. To implement genomic prediction, two different statistical methods were employed: Genomic Best Linear Unbiased Prediction (GBLUP) and a Bayesian method called BayesC. The cross-validation results showed that the two methods gave similar prediction accuracy (r = 0.3–0.4) for CHD (measured as Norberg angle) and RCCL in the multi-breed population. For CHD, the average correlation of the AUC was 0.71 (BayesC) and 0.70 (GBLUP), which is a medium level of prediction accuracy and consistent with Pearson correlation results. For RCCL, the correlation of the AUC was slightly higher. The prediction accuracy of GBLUP from the imputed genotype data was similar to the accuracy from DNA array data. We demonstrated that the genomic prediction of CHD and RCCL with DNA array genotype data is feasible in a multiple breed population if there is a genetic connection, such as breed, between the reference population and the validation population. Albeit these traits have heritability of about one-third, higher accuracy is needed to implement in a natural population and predicting a complex phenotype will require much larger number of dogs within a breed and across breeds. It is possible that with higher accuracy, genomic prediction of these orthopedic traits could be implemented in a clinical setting for early diagnosis and treatment, and the selection of dogs for breeding. These results need continuous improvement in model prediction through ongoing genotyping and data sharing. When genomic prediction indicates that a dog is susceptible to one of these orthopedic traits, it should be accompanied by clinical and radiographic screening at an acceptable age with appropriate follow-up.
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Affiliation(s)
- Liping Jiang
- College of Mathematics, Jilin University, Changchun, China.,Electrical and Information Engineering College, Jilin Agricultural Science and Technology University, Jilin, China
| | - Zhuo Li
- Electrical and Information Engineering College, Jilin Agricultural Science and Technology University, Jilin, China
| | - Jessica J Hayward
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - Kei Hayashi
- Department of Clinical Sciences and Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - Ursula Krotscheck
- Department of Clinical Sciences and Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - Rory J Todhunter
- Department of Clinical Sciences and Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - You Tang
- Electrical and Information Engineering College, Jilin Agricultural Science and Technology University, Jilin, China
| | - Meng Huang
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States
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Lin R, Chan KG, Shi H. A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve. Stat Methods Med Res 2021; 30:2269-2287. [PMID: 34468238 DOI: 10.1177/09622802211037070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The area under the receiver operating characteristic curve is a widely used measure for evaluating the performance of a diagnostic test. Common approaches for inference on area under the receiver operating characteristic curve are usually based upon approximation. For example, the normal approximation based inference tends to suffer from the problem of low accuracy for small sample size. Frequentist empirical likelihood based approaches for area under the receiver operating characteristic curve estimation may perform better, but are usually conducted through approximation in order to reduce the computational burden, thus the inference is not exact. By contrast, we proposed an exact inferential procedure by adapting the empirical likelihood into a Bayesian framework and draw inference from the posterior samples of the area under the receiver operating characteristic curve obtained via a Gibbs sampler. The full conditional distributions within the Gibbs sampler only involve empirical likelihoods with linear constraints, which greatly simplify the computation. To further enhance the applicability and flexibility of the Bayesian empirical likelihood, we extend our method to the estimation of partial area under the receiver operating characteristic curve, comparison of multiple tests, and the doubly robust estimation of area under the receiver operating characteristic curve in the presence of missing test results. Simulation studies confirm the desirable performance of the proposed methods, and a real application is presented to illustrate its usefulness.
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Affiliation(s)
- Ruitao Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, USA
| | - Kc Gary Chan
- Department of Biostatistics, 7284University of Washington, USA
| | - Haolun Shi
- Department of Statistics and Actuarial Science, Simon Fraser University, Canada
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Never forget a face: Verbalization facilitates recollection as evidenced by flexible responding to contrasting recognition memory tests. Mem Cognit 2021; 49:323-339. [PMID: 32844382 DOI: 10.3758/s13421-020-01085-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Verbal facilitation occurs when describing a face improves its subsequent recognition; but there are several theoretical explanations debated in the literature. The results of the present studies support a relatively unrestricted, parsimonious theory that verbal facilitation occurs because describing a face supports recollection of several different facets of the face-viewing experience. This recollection is then demonstrated by flexibly responding to two competing types of recognition task demands. Participants studied a list of faces and, following each face, performed a nonverbalization task (Experiment 1) or described its features or traits (Experiment 2). Two subsequent recognition tests included intact faces, new faces, and conjunctions (each of which recombined features of two studied faces). Inclusion test instructions emphasized featural information: respond "yes" to both intact and conjunction faces (both of which contained studied features), but "no" to new faces. Exclusion test instructions emphasized configural information: respond "yes" only to intact faces (which were the only test items that matched studied configurations), and "no" to both conjunctions and new faces. Both yes/no responses and confidence ratings supported our hypothesis that verbalization improved discrimination between (a) conjunctions and new faces in the inclusion test, and (b) intact faces and conjunctions in the exclusion test. Additional secondary responses about face type elucidated that verbalization at study improves the ability to recollect either featural or configural information, depending on which type of response the recognition test required. We discuss these findings about practical applications of improved face memory in real-world contexts.
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Mueller-Schoell A, Puebla-Osorio N, Michelet R, Green MR, Künkele A, Huisinga W, Strati P, Chasen B, Neelapu SS, Yee C, Kloft C. Early Survival Prediction Framework in CD19-Specific CAR-T Cell Immunotherapy Using a Quantitative Systems Pharmacology Model. Cancers (Basel) 2021; 13:2782. [PMID: 34205020 PMCID: PMC8199881 DOI: 10.3390/cancers13112782] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 05/22/2021] [Accepted: 05/28/2021] [Indexed: 12/20/2022] Open
Abstract
Chimeric antigen receptor (CAR)-T cell therapy has revolutionized treatment of relapsed/refractory non-Hodgkin lymphoma (NHL). However, since 36-60% of patients relapse, early response prediction is crucial. We present a novel population quantitative systems pharmacology model, integrating literature knowledge on physiology, immunology, and adoptive cell therapy together with 133 CAR-T cell phenotype, 1943 cytokine, and 48 metabolic tumor measurements. The model well described post-infusion concentrations of four CAR-T cell phenotypes and CD19+ metabolic tumor volume over 3 months after CAR-T cell infusion. Leveraging the model, we identified a low expansion subpopulation with significantly lower CAR-T cell expansion capacities amongst 19 NHL patients. Together with two patient-/therapy-related factors (autologous stem cell transplantation, CD4+/CD8+ T cells), the low expansion subpopulation explained 2/3 of the interindividual variability in the CAR-T cell expansion capacities. Moreover, the low expansion subpopulation had poor prognosis as only 1/4 of the low expansion subpopulation compared to 2/3 of the reference population were still alive after 24 months. We translated the expansion capacities into a clinical composite score (CCS) of 'Maximum naïve CAR-T cell concentrations/Baseline tumor burden' ratio and propose a CCSTN-value > 0.00136 (cells·µL-1·mL-1 as predictor for survival. Once validated in a larger cohort, the model will foster refining survival prediction and solutions to enhance NHL CAR-T cell therapy response.
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Affiliation(s)
- Anna Mueller-Schoell
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany; (A.M.-S.); (R.M.)
- Graduate Research Training Program PharMetrX, 12169 Berlin, Germany
| | - Nahum Puebla-Osorio
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.P.-O.); (M.R.G.); (P.S.)
| | - Robin Michelet
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany; (A.M.-S.); (R.M.)
| | - Michael R. Green
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.P.-O.); (M.R.G.); (P.S.)
| | - Annette Künkele
- Department of Pediatric Oncology and Hematology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, Augustenburger Platz 1, 1335 Berlin, Germany;
- German Cancer Consortium (DKTK), Partner Site Berlin, CCC (Campus Mitte), 10178 Berlin, Germany
| | - Wilhelm Huisinga
- Institute of Mathematics, University of Potsdam, 14476 Potsdam, Germany;
| | - Paolo Strati
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.P.-O.); (M.R.G.); (P.S.)
| | - Beth Chasen
- Department of Nuclear Medicine, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Sattva S. Neelapu
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.P.-O.); (M.R.G.); (P.S.)
| | - Cassian Yee
- Department of Melanoma Medical Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Immunology, UT MD Anderson Cancer Center, Houston, TX 70030, USA
| | - Charlotte Kloft
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany; (A.M.-S.); (R.M.)
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Hostettler IC, Sebök M, Ambler G, Muroi C, Prömmel P, Neidert MC, Richter JK, Pangalu A, Regli L, Germans MR. Validation and Optimization of Barrow Neurological Institute Score in Prediction of Adverse Events and Functional Outcome After Subarachnoid Hemorrhage-Creation of the HATCH (Hemorrhage, Age, Treatment, Clinical State, Hydrocephalus) Score. Neurosurgery 2021; 88:96-105. [PMID: 32779716 DOI: 10.1093/neuros/nyaa316] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 05/24/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Barrow Neurological Institute (BNI) score, measuring maximal thickness of aneurysmal subarachnoid hemorrhage (aSAH), has previously shown to predict symptomatic cerebral vasospasms (CVSs), delayed cerebral ischemia (DCI), and functional outcome. OBJECTIVE To validate the BNI score for prediction of above-mentioned variables and cerebral infarct and evaluate its improvement by integrating further variables which are available within the first 24 h after hemorrhage. METHODS We included patients from a single center. The BNI score for prediction of CVS, DCI, infarct, and functional outcome was validated in our cohort using measurements of calibration and discrimination (area under the curve [AUC]). We improved it by adding additional variables, creating a novel risk score (measure by the dichotomized Glasgow Outcome Scale) and validated it in a small independent cohort. RESULTS Of 646 patients, 41.5% developed symptomatic CVS, 22.9% DCI, 23.5% cerebral infarct, and 29% had an unfavorable outcome. The BNI score was associated with all outcome measurements. We improved functional outcome prediction accuracy by including age, BNI score, World Federation of Neurologic Surgeons, rebleeding, clipping, and hydrocephalus (AUC 0.84, 95% CI 0.8-0.87). Based on this model we created a risk score (HATCH-Hemorrhage, Age, Treatment, Clinical State, Hydrocephalus), ranging 0 to 13 points. We validated it in a small independent cohort. The validated score demonstrated very good discriminative ability (AUC 0.84 [95% CI 0.72-0.96]). CONCLUSION We developed the HATCH score, which is a moderate predictor of DCI, but excellent predictor of functional outcome at 1 yr after aSAH.
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Affiliation(s)
- Isabel Charlotte Hostettler
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Stroke Research Centre, University College London, Institute of Neurology, London, United Kingdom.,Department of Neurosurgery, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Martina Sebök
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Clinical Neuroscience Center Zurich, Zurich, Switzerland
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, United Kingdom
| | - Carl Muroi
- Neurocritical Care Unit, Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Peter Prömmel
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marian Christoph Neidert
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Johannes Konstantin Richter
- Department of Neuroradiology, University Hospital, University of Zurich, Zurich, Switzerland.,Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Athina Pangalu
- Department of Neuroradiology, University Hospital, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Clinical Neuroscience Center Zurich, Zurich, Switzerland
| | - Menno Robbert Germans
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Clinical Neuroscience Center Zurich, Zurich, Switzerland
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Shah VV, McNames J, Mancini M, Carlson-Kuhta P, Spain RI, Nutt JG, El-Gohary M, Curtze C, Horak FB. Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls. J Neuroeng Rehabil 2020; 17:159. [PMID: 33261625 PMCID: PMC7708140 DOI: 10.1186/s12984-020-00781-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/25/2020] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND AND PURPOSE Recent findings suggest that a gait assessment at a discrete moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a step towards better understanding gait during daily life in neurological populations, we compared gait measures that best discriminated people with multiple sclerosis (MS) and people with Parkinson's Disease (PD) from their respective, age-matched, healthy control subjects (MS-Ctl, PD-Ctl) in laboratory tests versus a week of daily life monitoring. METHODS We recruited 15 people with MS (age mean ± SD: 49 ± 10 years), 16 MS-Ctl (45 ± 11 years), 16 people with idiopathic PD (71 ± 5 years), and 15 PD-Ctl (69 ± 7 years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory followed by 7 days during daily life. Mann-Whitney U test and area under the curve (AUC) compared differences between PD and PD-Ctl, and between MS and MS-Ctl in the laboratory and in daily life. RESULTS Participants wore sensors for 60-68 h in daily life. Measures that best discriminated gait characteristics in people with MS and PD from their respective control groups were different between the laboratory gait test and a week of daily life. Specifically, the toe-off angle best discriminated MS versus MS-Ctl in the laboratory (AUC [95% CI] = 0.80 [0.63-0.96]) whereas gait speed in daily life (AUC = 0.84 [0.69-1.00]). In contrast, the lumbar coronal range of motion best discriminated PD versus PD-Ctl in the laboratory (AUC = 0.78 [0.59-0.96]) whereas foot-strike angle in daily life (AUC = 0.84 [0.70-0.98]). AUCs were larger in daily life compared to the laboratory. CONCLUSIONS Larger AUC for daily life gait measures compared to the laboratory gait measures suggest that daily life monitoring may be more sensitive to impairments from neurological disease, but each neurological disease may require different gait outcome measures.
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Affiliation(s)
- Vrutangkumar V Shah
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA.
| | - James McNames
- Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA
- APDM Wearable Technologies, Portland, OR, USA
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | - Patricia Carlson-Kuhta
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | - Rebecca I Spain
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
- Veterans Affairs Portland Health Care System, Portland, OR, USA
| | - John G Nutt
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | | | - Carolin Curtze
- Department of Biomechanics, University of Nebraska At Omaha, Omaha, NE, USA
| | - Fay B Horak
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
- APDM Wearable Technologies, Portland, OR, USA
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Marcus K, Lelong C, Rabilloud T. What Room for Two-Dimensional Gel-Based Proteomics in a Shotgun Proteomics World? Proteomes 2020; 8:proteomes8030017. [PMID: 32781532 PMCID: PMC7563651 DOI: 10.3390/proteomes8030017] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 08/02/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023] Open
Abstract
Two-dimensional gel electrophoresis was instrumental in the birth of proteomics in the late 1980s. However, it is now often considered as an outdated technique for proteomics—a thing of the past. Although this opinion may be true for some biological questions, e.g., when analysis depth is of critical importance, for many others, two-dimensional gel electrophoresis-based proteomics still has a lot to offer. This is because of its robustness, its ability to separate proteoforms, and its easy interface with many powerful biochemistry techniques (including western blotting). This paper reviews where and why two-dimensional gel electrophoresis-based proteomics can still be profitably used. It emerges that, rather than being a thing of the past, two-dimensional gel electrophoresis-based proteomics is still highly valuable for many studies. Thus, its use cannot be dismissed on simple fashion arguments and, as usual, in science, the tree is to be judged by the fruit.
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Affiliation(s)
- Katrin Marcus
- Medizinisches Proteom-Center, Medical Faculty & Medical Proteome Analysis, Center for Proteindiagnostics (PRODI) Ruhr-University Bochum Gesundheitscampus, 4 44801 Bochum, Germany;
| | - Cécile Lelong
- CBM UMR CNRS5249, Université Grenoble Alpes, CEA, CNRS, 17 rue des Martyrs, CEDEX 9, 38054 Grenoble, France;
| | - Thierry Rabilloud
- Laboratory of Chemistry and Biology of Metals, UMR 5249, Université Grenoble Alpes, CNRS, 38054 Grenoble, France
- Correspondence: ; Tel.: +33-438-783-212
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Lagerstedt L, Azurmendi L, Tenovuo O, Katila AJ, Takala RSK, Blennow K, Newcombe VFJ, Maanpää HR, Tallus J, Hossain I, van Gils M, Menon DK, Hutchinson PJ, Zetterberg H, Posti JP, Sanchez JC. Interleukin 10 and Heart Fatty Acid-Binding Protein as Early Outcome Predictors in Patients With Traumatic Brain Injury. Front Neurol 2020; 11:376. [PMID: 32581990 PMCID: PMC7280446 DOI: 10.3389/fneur.2020.00376] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 04/14/2020] [Indexed: 12/27/2022] Open
Abstract
Background: Patients with traumatic brain injury (TBI) exhibit a variable and unpredictable outcome. The proteins interleukin 10 (IL-10) and heart fatty acid-binding protein (H-FABP) have shown predictive values for the presence of intracranial lesions. Aim: To evaluate the individual and combined outcome prediction ability of IL-10 and H-FABP, and to compare them to the more studied proteins S100β, glial fibrillary acidic protein (GFAP), and neurofilament light (NF-L), both with and without clinical predictors. Methods: Blood samples from patients with acute TBI (all severities) were collected <24 h post trauma. The outcome was measured >6 months post injury using the Glasgow Outcome Scale Extended (GOSE) score, dichotomizing patients into: (i) those with favorable (GOSE≥5)/unfavorable outcome (GOSE ≤ 4) and complete (GOSE = 8)/incomplete (GOSE ≤ 7) recovery, and (ii) patients with mild TBI (mTBI) and patients with TBIs of all severities. Results: When sensitivity was set at 95-100%, the proteins' individual specificities remained low. H-FABP showed the best specificity (%) and sensitivity (100%) in predicting complete recovery in patients with mTBI. IL-10 had the best specificity (50%) and sensitivity (96%) in identifying patients with favorable outcome in patients with TBIs of all severities. When individual proteins were combined with clinical parameters, a model including H-FABP, NF-L, and ISS yielded a specificity of 56% and a sensitivity of 96% in predicting complete recovery in patients with mTBI. In predicting favorable outcome, a model consisting IL-10, age, and TBI severity reached a specificity of 80% and a sensitivity of 96% in patients with TBIs of all severities. Conclusion: Combining novel TBI biomarkers H-FABP and IL-10 with GFAP, NF-L and S100β and clinical parameters improves outcome prediction models in TBI.
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Affiliation(s)
- Linnéa Lagerstedt
- Department of Specialities of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Leire Azurmendi
- Department of Specialities of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Olli Tenovuo
- Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Ari J Katila
- Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland
| | - Riikka S K Takala
- Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Virginia F J Newcombe
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Henna-Riikka Maanpää
- Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Clinical Neurosciences, University of Turku, Turku, Finland.,Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital Turku, Turku, Finland
| | - Jussi Tallus
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Iftakher Hossain
- Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Clinical Neurosciences, University of Turku, Turku, Finland.,Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital Turku, Turku, Finland
| | - Mark van Gils
- Knowledge Intensive Products and Services, VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Peter J Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.,National Institute for Health Research, Cambridge BRC, Cambridge, United Kingdom.,Royal College of Surgeons of England, London, United Kingdom
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - Jussi P Posti
- Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Clinical Neurosciences, University of Turku, Turku, Finland.,Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital Turku, Turku, Finland
| | - Jean-Charles Sanchez
- Department of Specialities of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Multilevel omics for the discovery of biomarkers and therapeutic targets for stroke. Nat Rev Neurol 2020; 16:247-264. [PMID: 32322099 DOI: 10.1038/s41582-020-0350-6] [Citation(s) in RCA: 161] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2020] [Indexed: 02/07/2023]
Abstract
Despite many years of research, no biomarkers for stroke are available to use in clinical practice. Progress in high-throughput technologies has provided new opportunities to understand the pathophysiology of this complex disease, and these studies have generated large amounts of data and information at different molecular levels. The integration of these multi-omics data means that thousands of proteins (proteomics), genes (genomics), RNAs (transcriptomics) and metabolites (metabolomics) can be studied simultaneously, revealing interaction networks between the molecular levels. Integrated analysis of multi-omics data will provide useful insight into stroke pathogenesis, identification of therapeutic targets and biomarker discovery. In this Review, we detail current knowledge on the pathology of stroke and the current status of biomarker research in stroke. We summarize how proteomics, metabolomics, transcriptomics and genomics are all contributing to the identification of new candidate biomarkers that could be developed and used in clinical stroke management.
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Luo YG, Han B, Sun TW, Liu X, Liu J, Zhang J. The association between serum adipocyte fatty acid-binding protein and 3-month disability outcome after aneurysmal subarachnoid hemorrhage. J Neuroinflammation 2020; 17:66. [PMID: 32075656 PMCID: PMC7029438 DOI: 10.1186/s12974-020-01743-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 02/11/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Adipocyte fatty acid-binding protein (FABP4) is an adipokine that plays an important role in development of cardiovascular and metabolic diseases. The aim of this study was to assess the 3-month prognostic value of serum levels of FABP4 in Chinese patients with aneurysmal subarachnoid hemorrhage (aSAH) on hospital admission. METHODS This was a prospective observational study from a stroke treatment center in Zhengzhou, China. From October 2016 to May 2018, patients with aSAH who were hospitalized within 24 h were included. In addition, 202 age- and gender-matched healthy volunteers were assigned to the healthy control group. At admission, serum levels of FABP4 were measured, and patients' characteristics, Hunt-Hess grade, and modified Fisher grade evaluated. At 3-month follow-up, functional outcome (Glasgow Outcome Scale score; dichotomized as poor [score 1-3] or good [score 4-5]) and all-cause mortality were recorded. Univariate and multivariate logistic regression models were used to investigate the association of FABP4 with the two endpoints. RESULTS A total of 418 patients with aSAH were included in this study. The median age was 58 years (interquartile range, 49-66 years), and 57.9% were women. FABP4 serum levels were related to Hunt-Hess score (r[Spearman] = 0.381; P < 0.001). Patients with a poor outcome and non-survivors had significantly increased serum FABP4 levels on admission (P < 0.001 for all). In multivariate logistic regression analysis, FABP4 was an independent predictor of poor outcome and mortality, with increased risks of 7% (odds ratios 1.07, 95% confidence interval [CI] 1.02-1.13; P = 0.001) and 5% (odds ratio 1.05, 95% CI, 1.01-1.12; P = 0.003), respectively. Receiver operating characteristics to predict functional outcome and mortality were significantly different between conventional risk factors (difference area under the curve 0.024, 95% CI 0.018-0.032) and FABP4 plus conventional risk factors (area under the curve 0.015, 95%CI 0.011-0.020). After FABP4 was added to the existing risk factors, mortality was better reclassified and was associated with the net reclassification improvement statistic (P = 0.009), while poor outcome was better reclassified and associated with both the integrated discrimination improvement and net reclassification improvement statistics (P < 0.05 for all). CONCLUSIONS Elevated serum FABP4 levels were related to poor outcome and mortality in a cohort of patients with aSAH.
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Affiliation(s)
- Yong-Gang Luo
- Department of Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Bing Han
- Department of Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Tong-Wen Sun
- Department of Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Xianzhi Liu
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Jun Liu
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Jun Zhang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe East Road, Zhengzhou, 450000, Henan, China.
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Weatherford DR, Erickson WB, Thomas J, Walker ME, Schein B. You shall not pass: how facial variability and feedback affect the detection of low-prevalence fake IDs. COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS 2020; 5:3. [PMID: 31993804 PMCID: PMC6987271 DOI: 10.1186/s41235-019-0204-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 12/19/2019] [Indexed: 11/10/2022]
Abstract
In many real-world settings, individuals rarely present another person's ID, which increases the likelihood that a screener will fail to detect it. Three experiments examined how within-person variability (i.e., differences between two images of the same person) and feedback may have influenced criterion shifting, thought to be one of the sources of the low-prevalence effect (LPE). Participants made identity judgments of a target face and an ID under either high, medium, or low mismatch prevalence. Feedback appeared after every trial, only error trials, or no trials. Experiment 1 used two controlled images taken on the same day. Experiment 2 used two controlled images taken at least 6 months apart. Experiment 3 used one controlled and one ambient image taken at least 1 year apart. Importantly, receiver operating characteristic curves revealed that feedback and greater within-person variability exacerbated the LPE by affecting both criterion and discriminability. These results carry implications for many real-world settings, such as border crossings and airports, where identity screening plays a major role in securing public safety.
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Affiliation(s)
- Dawn R Weatherford
- Texas A&M University, San Antonio, TX, USA. .,Arkansas State University, Jonesboro, AR, USA.
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22
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van Donkelaar CE, Bakker NA, Birks J, Veeger NJGM, Metzemaekers JDM, Molyneux AJ, Groen RJM, van Dijk JMC. Prediction of Outcome After Aneurysmal Subarachnoid Hemorrhage. Stroke 2020; 50:837-844. [PMID: 30869562 DOI: 10.1161/strokeaha.118.023902] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Early prediction of clinical outcome after aneurysmal subarachnoid hemorrhage (aSAH) is still lacking accuracy. In this observational cohort study, we aimed to develop and validate an accurate bedside prediction model for clinical outcome after aSAH, to aid decision-making at an early stage. Methods- For the development of the prediction model, a prospectively kept single-center cohort of 1215 aSAH patients, admitted between 1998 and 2014, was used. For temporal validation, a prospective cohort of 224 consecutive aSAH patients from the same center, admitted between 2015 and 2017, was used. External validation was performed using the ISAT (International Subarachnoid Aneurysm Trial) database (2143 patients). Primary outcome measure was poor functional outcome 2 months after aSAH, defined as modified Rankin Scale score 4-6. The model was constructed using multivariate regression analyses. Performance of the model was examined in terms of discrimination and calibration. Results- The final model included 4 predictors independently associated with poor outcome after 2 months: age, World Federation of Neurosurgical Societies grade after resuscitation, aneurysm size, and Fisher grade. Temporal validation showed high discrimination (area under the receiver operating characteristic curve, 0.90; 95% CI, 0.85-0.94), external validation showed fair to good discrimination (area under the receiver operating characteristic curve, 0.73; 95% CI, 0.70-0.76). The model showed satisfactory calibration in both validation cohorts. The SAFIRE grading scale was derived from the final model: size of the aneurysm, age, Fisher grade, world federation of neurosurgical societies after resuscitation. Conclusions- The SAFIRE grading scale is an accurate, generalizable, and easily applicable model for early prediction of clinical outcome after aSAH.
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Affiliation(s)
- Carlina E van Donkelaar
- From the Department of Neurosurgery (C.E.v.D., N.A.B., J.D.M.M., R.J.M.G., J.M.C.v.D.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Nicolaas A Bakker
- From the Department of Neurosurgery (C.E.v.D., N.A.B., J.D.M.M., R.J.M.G., J.M.C.v.D.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Jaqueline Birks
- Center for Statistics in Medicine, Oxford, United Kingdom (J.B.)
| | - Nic J G M Veeger
- Department of Epidemiology (N.J.G.M.V.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Jan D M Metzemaekers
- From the Department of Neurosurgery (C.E.v.D., N.A.B., J.D.M.M., R.J.M.G., J.M.C.v.D.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Andrew J Molyneux
- Neurovascular Research Unit, Nuffield Department of Surgery, University of Oxford and Oxford Radcliff Hospitals NHS Trust, United Kingdom (A.J.M.)
| | - Rob J M Groen
- From the Department of Neurosurgery (C.E.v.D., N.A.B., J.D.M.M., R.J.M.G., J.M.C.v.D.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - J Marc C van Dijk
- From the Department of Neurosurgery (C.E.v.D., N.A.B., J.D.M.M., R.J.M.G., J.M.C.v.D.), University of Groningen, University Medical Center Groningen, the Netherlands
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Zador Z, Huang W, Sperrin M, Lawton MT. Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era. Oper Neurosurg (Hagerstown) 2019; 14:603-610. [PMID: 28973260 PMCID: PMC5982204 DOI: 10.1093/ons/opx163] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 07/08/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Following the International Subarachnoid Aneurysm Trial (ISAT), evolving treatment modalities for acute aneurysmal subarachnoid hemorrhage (aSAH) has changed the case mix of patients undergoing urgent surgical clipping. OBJECTIVE To update our knowledge on outcome predictors by analyzing admission parameters in a pure surgical series using variable importance ranking and machine learning. METHODS We reviewed a single surgeon's case series of 226 patients suffering from aSAH treated with urgent surgical clipping. Predictions were made using logistic regression models, and predictive performance was assessed using areas under the receiver operating curve (AUC). We established variable importance ranking using partial Nagelkerke R2 scores. Probabilistic associations between variables were depicted using Bayesian networks, a method of machine learning. RESULTS Importance ranking showed that World Federation of Neurosurgical Societies (WFNS) grade and age were the most influential outcome prognosticators. Inclusion of only these 2 predictors was sufficient to maintain model performance compared to when all variables were considered (AUC = 0.8222, 95% confidence interval (CI): 0.7646-0.88 vs 0.8218, 95% CI: 0.7616-0.8821, respectively, DeLong's P = .992). Bayesian networks showed that age and WFNS grade were associated with several variables such as laboratory results and cardiorespiratory parameters. CONCLUSION Our study is the first to report early outcomes and formal predictor importance ranking following aSAH in a post-ISAT surgical case series. Models showed good predictive power with fewer relevant predictors than in similar size series. Bayesian networks proved to be a powerful tool in visualizing the widespread association of the 2 key predictors with admission variables, explaining their importance and demonstrating the potential for hypothesis generation.
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Affiliation(s)
- Zsolt Zador
- Department of Neurosurgery, Salford Royal NHS Foundation Trust, Salford, United Kingdom.,Institute of Cardiovascular Sciences, Centre for Vascular and Stroke Research, University of Manchester, Manchester, United Kingdom
| | - Wendy Huang
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California
| | - Matthew Sperrin
- Farr Institute, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre
| | - Michael T Lawton
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California
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Abstract
Proteomics has allowed the discovery and validation of a massive number of biomarkers. However most of them suffer from insufficient specificity and sensitivity and therefore didn't translate to clinical practice. Combining biomarkers with different properties into panels can be an efficient way to bypass these limitations and facilitate the translation of biomarkers into clinical practice.
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Konishi H, Komura D, Katoh H, Atsumi S, Koda H, Yamamoto A, Seto Y, Fukayama M, Yamaguchi R, Imoto S, Ishikawa S. Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning. BMC Bioinformatics 2019; 20:267. [PMID: 31138102 PMCID: PMC6537402 DOI: 10.1186/s12859-019-2853-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 04/26/2019] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The recent success of immunotherapy in treating tumors has attracted increasing interest in research related to the adaptive immune system in the tumor microenvironment. Recent advances in next-generation sequencing technology enabled the sequencing of whole T-cell receptors (TCRs) and B-cell receptors (BCRs)/immunoglobulins (Igs) in the tumor microenvironment. Since BCRs/Igs in tumor tissues have high affinities for tumor-specific antigens, the patterns of their amino acid sequences and other sequence-independent features such as the number of somatic hypermutations (SHMs) may differ between the normal and tumor microenvironments. However, given the high diversity of BCRs/Igs and the rarity of recurrent sequences among individuals, it is far more difficult to capture such differences in BCR/Ig sequences than in TCR sequences. The aim of this study was to explore the possibility of discriminating BCRs/Igs in tumor and in normal tissues, by capturing these differences using supervised machine learning methods applied to RNA sequences of BCRs/Igs. RESULTS RNA sequences of BCRs/Igs were obtained from matched normal and tumor specimens from 90 gastric cancer patients. BCR/Ig-features obtained in Rep-Seq were used to classify individual BCR/Ig sequences into normal or tumor classes. Different machine learning models using various features were constructed as well as gradient boosting machine (GBM) classifier combining these models. The results demonstrated that BCR/Ig sequences between normal and tumor microenvironments exhibit their differences. Next, by using a GBM trained to classify individual BCR/Ig sequences, we tried to classify sets of BCR/Ig sequences into normal or tumor classes. As a result, an area under the curve (AUC) value of 0.826 was achieved, suggesting that BCR/Ig repertoires have distinct sequence-level features in normal and tumor tissues. CONCLUSIONS To the best of our knowledge, this is the first study to show that BCR/Ig sequences derived from tumor and normal tissues have globally distinct patterns, and that these tissues can be effectively differentiated using BCR/Ig repertoires.
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Affiliation(s)
- Hiroki Konishi
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
- Institute of Medical Science, Health Intelligence Center, The University of Tokyo, Tokyo, 108-8639 Japan
| | - Daisuke Komura
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Hiroto Katoh
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Shinichiro Atsumi
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
- Department of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Hirotomo Koda
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Asami Yamamoto
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Yasuyuki Seto
- Department of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Masashi Fukayama
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
| | - Rui Yamaguchi
- Institute of Medical Science, Human Genome Center, The University of Tokyo, Tokyo, 108-8639 Japan
| | - Seiya Imoto
- Institute of Medical Science, Health Intelligence Center, The University of Tokyo, Tokyo, 108-8639 Japan
| | - Shumpei Ishikawa
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan
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Computation and Selection of Optimal Biomarker Combinations by Integrative ROC Analysis Using CombiROC. Methods Mol Biol 2019; 1959:247-259. [PMID: 30852827 DOI: 10.1007/978-1-4939-9164-8_16] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The diagnostic accuracy of biomarker-based approaches can be considerably improved by combining multiple markers. A biomarker's capacity to identify specific subjects is usually assessed using receiver operating characteristic (ROC) curves. Multimarker signatures are complicated to select as data signatures must be integrated using sophisticated statistical methods. CombiROC, developed as a user-friendly web tool, helps researchers to accurately determine optimal combinations of markers identified by a range of omics methods. With CombiROC, data of different types, such as proteomics and transcriptomics, can be analyzed using Sensitivity/Specificity filters: the number of candidate marker panels arising from combinatorial analysis is easily optimized bypassing limitations imposed by the nature of different experimental approaches. Users have full control over initial selection stringency, then CombiROC computes sensitivity and specificity for all marker combinations, determines performance for the best combinations, and produces ROC curves for automatic comparisons. All steps can be visualized in a graphic interface. CombiROC is designed without hard-coded thresholds, to allow customized fitting of each specific dataset: this approach dramatically reduces computational burden and false-negative rates compared to fixed thresholds. CombiROC can be accessed at www.combiroc.eu .
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Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS One 2018; 13:e0200394. [PMID: 29985933 PMCID: PMC6037378 DOI: 10.1371/journal.pone.0200394] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Accepted: 06/25/2018] [Indexed: 12/21/2022] Open
Abstract
Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied in mTBI patients, but to date, none seems to perform well enough. In many different diseases, combining several biomarkers into panels has become increasingly interesting for diagnoses and to enhance classification performance. The present study evaluated 13 proteins individually-H-FABP, MMP-1, MMP-3, MMP-9, VCAM, ICAM, SAA, CRP, GSTP, NKDA, PRDX1, DJ-1 and IL-10-for their capacity to differentiate between patients with and without a brain lesion according to CT results. The best performing proteins were then compared and combined with the S100B and GFAP proteins into a CT-scan triage panel. Patients diagnosed with mTBI, with a Glasgow Coma Scale score of 15 and one additional clinical symptom were enrolled at three different European sites. A blood sample was collected at hospital admission, and a CT scan was performed. Patients were divided into two two-centre cohorts and further dichotomised into CT-positive and CT-negative groups for statistical analysis. Single markers and panels were evaluated using Cohort 1. Four proteins-H-FABP, IL-10, S100B and GFAP-showed significantly higher levels in CT-positive patients. The best-performing biomarker was H-FABP, with a specificity of 32% (95% CI 23-40) and sensitivity reaching 100%. The best-performing two-marker panel for Cohort 1, subsequently validated in Cohort 2, was a combination of H-FABP and GFAP, enhancing specificity to 46% (95% CI 36-55). When adding IL-10 to this panel, specificity reached 52% (95% CI 43-61) with 100% sensitivity. These results showed that proteins combined into panels could be used to efficiently classify CT-positive and CT-negative mTBI patients.
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Abulhasan YB, Alabdulraheem N, Simoneau G, Angle MR, Teitelbaum J. Mortality after Spontaneous Subarachnoid Hemorrhage: Causality and Validation of a Prediction Model. World Neurosurg 2018; 112:e799-e811. [PMID: 29410174 DOI: 10.1016/j.wneu.2018.01.160] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 01/19/2018] [Accepted: 01/20/2018] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To evaluate primary causes of death after spontaneous subarachnoid hemorrhage (SAH) and externally validate the HAIR score, a prognostication tool, in a single academic institution. METHODS We reviewed all patients with SAH admitted to our neuro-intensive care unit between 2010 and 2016. Univariate and multivariate logistic regressions were performed to identify predictors of in-hospital mortality. The HAIR score predictors were Hunt and Hess grade at treatment decision, age, intraventricular hemorrhage, and rebleeding within 24 hours. Validation of the HAIR score was characterized with the receiver operating curve, the area under the curve, and a calibration plot. RESULTS Among 434 patients with SAH, in-hospital mortality was 14.1%. Of the 61 mortalities, 54 (88.5%) had a neurologic cause of death or withdrawal of care and 7 (11.5%) had cardiac death. Median time from SAH to death was 6 days. The main causes of death were effect of the initial hemorrhage (26.2%), rebleeding (23%) and refractory cerebral edema (19.7%). Factors significantly associated with in-hospital mortality in the multivariate analysis were age, Hunt and Hess grade, and intracerebral hemorrhage. Maximum lumen size was also a significant risk factor after aneurysmal SAH. The HAIR score had a satisfactory discriminative ability, with an area under the curve of 0.89. CONCLUSIONS The in-hospital mortality is lower than in previous reports, attesting to the continuing improvement of our institutional SAH care. The major causes are the same as in previous reports. Despite a different therapeutic protocol, the HAIR score showed good discrimination and could be a useful tool for predicting mortality.
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Affiliation(s)
- Yasser B Abulhasan
- Neurological Intensive Care Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait.
| | - Najayeb Alabdulraheem
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Gabrielle Simoneau
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Mark R Angle
- Neurological Intensive Care Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Jeanne Teitelbaum
- Neurological Intensive Care Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
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Fernandez-Maza L, Egea-Guerrero JJ, Balcerzyk M, Civantos-Jubera G, Gordillo-Escobar E, Vilches-Arenas A, Fernandez-Gomez I, Parrado-Gallego A, Murillo-Cabezas F. Rapid and simplified synthesis of [ 18 F]Fluoromisonidazole and its use in PET imaging in an experimental model of subarachnoid hemorrhage. Appl Radiat Isot 2018; 132:79-84. [DOI: 10.1016/j.apradiso.2017.09.035] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 08/28/2017] [Accepted: 09/22/2017] [Indexed: 01/08/2023]
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Abboud T, Mende KC, Jung R, Czorlich P, Vettorazzi E, Priefler M, Kluge S, Westphal M, Regelsberger J. Prognostic Value of Early S100 Calcium Binding Protein B and Neuron-Specific Enolase in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. World Neurosurg 2017; 108:669-675. [PMID: 28943424 DOI: 10.1016/j.wneu.2017.09.074] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 09/11/2017] [Accepted: 09/13/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND This prospective study was undertaken to investigate the value of early S100 calcium binding protein B (S100B) and neuron-specific enolase (NSE) in prognosticating outcome in patients with poor-grade aneurysmal subarachnoid hemorrhage and to develop a statistical model and cutoff values for clinical practice. METHODS Between 2012 and 2014, patients with poor-grade subarachnoid hemorrhage (Hunt and Hess grade 3-5) who were admitted within 24 hours after hemorrhage were prospectively enrolled. Serum NSE and S100B levels were assayed once daily during the first 3 days after hemorrhage. Patient characteristics, Glasgow Coma Scale score, Hunt and Hess grade, and Fisher grade at admission were recorded. Glasgow Outcome Scale (GOS) score was obtained at 6 months and dichotomized as poor (score 1-3) or good (score 4-5). Logistic regression and receiver operating characteristic curve were used to assess the value of S100B and NSE in predicting outcome, and cutoff values were calculated using conditional interference trees. RESULTS The study included 52 patients. Hunt and Hess grade was 3 in 23 patients, 4 in 15 patients, and 5 in 14 patients. S100B range was 0.07-5.62 μg/L (mean 0.87 μg/L ± 1.06). NSE range was 5.7-94.2 μg/L (mean 16.1 μg/L ± 10.5). At 6-month follow-up, 23 patients (44.2%) had a poor outcome, and 29 patients (55.8%) had a good outcome. Both S100B at day 1 (P = 0.004; cutoff 0.202 μg/L) and NSE at day 1 (P = 0.047; cutoff 9.4 μg/L) predicted good outcome with a specificity of 100%. The specificity of mean S100B in detecting patients with poor outcome reached 100% (P = 0.003) when combined with mean NSE levels. CONCLUSIONS S100B and NSE measured during the first 3 days after hemorrhage showed, separately and combined, a significant predictive value in prognosticating clinical outcome in patients with poor-grade subarachnoid hemorrhage. A multicenter study with a large patient cohort is necessary to validate the above-mentioned cutoff values for clinical practice.
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Affiliation(s)
- Tammam Abboud
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Department of Neurosurgery, University Medical Centre Göttingen, Göttingen, Germany.
| | - Klaus Christian Mende
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Roman Jung
- Department of Clinical Chemistry, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Patrick Czorlich
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Eik Vettorazzi
- Department of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Marion Priefler
- Department of Intensive Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Kluge
- Department of Intensive Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Regelsberger
- Department of Neurosurgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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Ferrando C, Romero C, Tusman G, Suarez-Sipmann F, Canet J, Dosdá R, Valls P, Villena A, Serralta F, Jurado A, Carrizo J, Navarro J, Parrilla C, Romero JE, Pozo N, Soro M, Villar J, Belda FJ. The accuracy of postoperative, non-invasive Air-Test to diagnose atelectasis in healthy patients after surgery: a prospective, diagnostic pilot study. BMJ Open 2017; 7:e015560. [PMID: 28554935 PMCID: PMC5623366 DOI: 10.1136/bmjopen-2016-015560] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE To assess the diagnostic accuracy of peripheral capillary oxygen saturation (SpO2) while breathing room air for 5 min (the 'Air-Test') in detecting postoperative atelectasis. DESIGN Prospective cohort study. Diagnostic accuracy was assessed by measuring the agreement between the index test and the reference standard CT scan images. SETTING Postanaesthetic care unit in a tertiary hospital in Spain. PARTICIPANTS Three hundred and fifty patients from 12 January to 7 February 2015; 170 patients scheduled for surgery under general anaesthesia who were admitted into the postsurgical unit were included. INTERVENTION The Air-Test was performed in conscious extubated patients after a 30 min stabilisation period during which they received supplemental oxygen therapy via a venturi mask. The Air-Test was defined as positive when SpO2 was ≤96% and negative when SpO2 was ≥97%. Arterial blood gases were measured in all patients at the end of the Air-Test. In the subsequent 25 min, the presence of atelectasis was evaluated by performing a CT scan in 59 randomly selected patients. MAIN OUTCOME MEASURES The primary study outcome was assessment of the accuracy of the Air-Test for detecting postoperative atelectasis compared with the reference standard. The secondary outcome was the incidence of positive Air-Test results. RESULTS The Air-Test diagnosed postoperative atelectasis with an area under the receiver operating characteristic curve of 0.90 (95% CI 0.82 to 0.98) with a sensitivity of 82.6% and a specificity of 87.8%. The presence of atelectasis was confirmed by CT scans in all patients (30/30) with positive and in 5 patients (17%) with negative Air-Test results. Based on the Air-Test, postoperative atelectasis was present in 36% of the patients (62 out of 170). CONCLUSION The Air-Test may represent an accurate, simple, inexpensive and non-invasive method for diagnosing postoperative atelectasis. TRIAL REGISTRATION NCT02650037.
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Affiliation(s)
- Carlos Ferrando
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Carolina Romero
- Anesthesiology and Critical Care, Consorci Hospital General Universitari de Valencia, Valencia, Spain
| | - Gerardo Tusman
- Department of Anesthesiology, Hospital Privado de Comunidad, Mar de Plata, Argentina
| | - Fernando Suarez-Sipmann
- Uppsala Universitet, Uppsala, Sweden
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Jaume Canet
- Anesthesiology and Critical Care, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Rosa Dosdá
- Department of Radiology, Hospital Clinico Universitario Valencia, Valencia, Spain
| | - Paola Valls
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Abigail Villena
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Ferran Serralta
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Ana Jurado
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Juan Carrizo
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Jose Navarro
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Cristina Parrilla
- Department of Radiology, Hospital Clinico Universitario Valencia, Valencia, Spain
| | - Jose E Romero
- ITACA Institute (Group IBIME), Universidad Politécnica, Valencia, Spain
| | | | - Marina Soro
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
| | - Jesús Villar
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Hospital Universitario Dr. Negrin, Las Palmas de Gran Canaria, Spain
| | - Francisco Javier Belda
- Anesthesiology and Critical Care, Hospital Clínico Universitario Valencia, Valencia, Spain
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Lagerstedt L, Egea-Guerrero JJ, Bustamante A, Montaner J, Rodríguez-Rodríguez A, El Rahal A, Turck N, Quintana M, García-Armengol R, Prica CM, Andereggen E, Rinaldi L, Sarrafzadeh A, Schaller K, Sanchez JC. H-FABP: A new biomarker to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury. PLoS One 2017; 12:e0175572. [PMID: 28419114 PMCID: PMC5395174 DOI: 10.1371/journal.pone.0175572] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 03/28/2017] [Indexed: 11/18/2022] Open
Abstract
The majority of patients with mild traumatic brain injury (mTBI) will have normal Glasgow coma scale (GCS) of 15. Furthermore, only 5%-8% of them will be CT-positive for an mTBI. Having a useful biomarker would help clinicians evaluate a patient's risk of developing intracranial lesions. The S100B protein is currently the most studied and promising biomarker for this purpose. Heart fatty-acid binding protein (H-FABP) has been highlighted in brain injury models and investigated as a biomarker for stroke and severe TBI, for example. Here, we evaluate the performances of S100B and H-FABP for differentiating between CT-positive and CT-negative patients. A total of 261 patients with a GCS score of 15 and at least one clinical symptom of mTBI were recruited at three different European sites. Blood samples from 172 of them were collected ≤ 6 h after trauma. Patients underwent a CT scan and were dichotomised into CT-positive and CT-negative groups for statistical analyses. H-FABP and S100B levels were measured using commercial kits, and their capacities to detect all CT-positive scans were evaluated, with sensitivity set to 100%. For patients recruited ≤ 6 h after trauma, the CT-positive group demonstrated significantly higher levels of both H-FABP (p = 0.004) and S100B (p = 0.003) than the CT-negative group. At 100% sensitivity, specificity reached 6% (95% CI 2.8-10.7) for S100B and 29% (95% CI 21.4-37.1) for H-FABP. Similar results were obtained when including all the patients recruited, i.e. hospital arrival within 24 h of trauma onset. H-FABP out-performed S100B and thus seems to be an interesting protein for detecting all CT-positive mTBI patients with a GCS score of 15 and at least one clinical symptom.
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Affiliation(s)
- Linnéa Lagerstedt
- Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Alejandro Bustamante
- Neurovascular Research Laboratory, Vall d’Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joan Montaner
- Neurovascular Research Laboratory, Vall d’Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Amir El Rahal
- Division of Neurosurgery, Geneva Neuroscience Center, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Natacha Turck
- Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Manuel Quintana
- Intensive Medicine Unit, Hospital Universitario La Paz, idiPAZ, Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Roser García-Armengol
- Neurosurgical department, Neuroscience Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | | | - Elisabeth Andereggen
- Emergency Center, Geneva University Hospitals, Geneva, Switzerland
- Department of Surgery, Geneva University Hospitals, Geneva, Switzerland
| | - Lara Rinaldi
- Emergency Center, Geneva University Hospitals, Geneva, Switzerland
| | - Asita Sarrafzadeh
- Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Karl Schaller
- Division of Neurosurgery, Geneva Neuroscience Center, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Jean-Charles Sanchez
- Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- * E-mail:
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CombiROC: an interactive web tool for selecting accurate marker combinations of omics data. Sci Rep 2017; 7:45477. [PMID: 28358118 PMCID: PMC5371980 DOI: 10.1038/srep45477] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 02/28/2017] [Indexed: 12/16/2022] Open
Abstract
Diagnostic accuracy can be improved considerably by combining multiple markers, whose performance in identifying diseased subjects is usually assessed via receiver operating characteristic (ROC) curves. The selection of multimarker signatures is a complicated process that requires integration of data signatures with sophisticated statistical methods. We developed a user-friendly tool, called CombiROC, to help researchers accurately determine optimal markers combinations from diverse omics methods. With CombiROC data from different domains, such as proteomics and transcriptomics, can be analyzed using sensitivity/specificity filters: the number of candidate marker panels rising from combinatorial analysis is easily optimized bypassing limitations imposed by the nature of different experimental approaches. Leaving to the user full control on initial selection stringency, CombiROC computes sensitivity and specificity for all markers combinations, performances of best combinations and ROC curves for automatic comparisons, all visualized in a graphic interface. CombiROC was designed without hard-coded thresholds, allowing a custom fit to each specific data: this dramatically reduces the computational burden and lowers the false negative rates given by fixed thresholds. The application was validated with published data, confirming the marker combination already originally described or even finding new ones. CombiROC is a novel tool for the scientific community freely available at http://CombiROC.eu.
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Zador Z, Sperrin M, King AT. Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis. PLoS One 2016; 11:e0158762. [PMID: 27388421 PMCID: PMC4936732 DOI: 10.1371/journal.pone.0158762] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 06/21/2016] [Indexed: 11/28/2022] Open
Abstract
Background Traumatic brain injury remains a global health problem. Understanding the relative importance of outcome predictors helps optimize our treatment strategies by informing assessment protocols, clinical decisions and trial designs. In this study we establish importance ranking for outcome predictors based on receiver operating indices to identify key predictors of outcome and create simple predictive models. We then explore the associations between key outcome predictors using Bayesian networks to gain further insight into predictor importance. Methods We analyzed the corticosteroid randomization after significant head injury (CRASH) trial database of 10008 patients and included patients for whom demographics, injury characteristics, computer tomography (CT) findings and Glasgow Outcome Scale (GCS) were recorded (total of 13 predictors, which would be available to clinicians within a few hours following the injury in 6945 patients). Predictions of clinical outcome (death or severe disability at 6 months) were performed using logistic regression models with 5-fold cross validation. Predictive performance was measured using standardized partial area (pAUC) under the receiver operating curve (ROC) and we used Delong test for comparisons. Variable importance ranking was based on pAUC targeted at specificity (pAUCSP) and sensitivity (pAUCSE) intervals of 90–100%. Probabilistic associations were depicted using Bayesian networks. Results Complete AUC analysis showed very good predictive power (AUC = 0.8237, 95% CI: 0.8138–0.8336) for the complete model. Specificity focused importance ranking highlighted age, pupillary, motor responses, obliteration of basal cisterns/3rd ventricle and midline shift. Interestingly when targeting model sensitivity, the highest-ranking variables were age, severe extracranial injury, verbal response, hematoma on CT and motor response. Simplified models, which included only these key predictors, had similar performance (pAUCSP = 0.6523, 95% CI: 0.6402–0.6641 and pAUCSE = 0.6332, 95% CI: 0.62–0.6477) compared to the complete models (pAUCSP = 0.6664, 95% CI: 0.6543–0.679, pAUCSE = 0.6436, 95% CI: 0.6289–0.6585, de Long p value 0.1165 and 0.3448 respectively). Bayesian networks showed the predictors that did not feature in the simplified models were associated with those that did. Conclusion We demonstrate that importance based variable selection allows simplified predictive models to be created while maintaining prediction accuracy. Variable selection targeting specificity confirmed key components of clinical assessment in TBI whereas sensitivity based ranking suggested extracranial injury as one of the important predictors. These results help refine our approach to head injury assessment, decision-making and outcome prediction targeted at model sensitivity and specificity. Bayesian networks proved to be a comprehensive tool for depicting probabilistic associations for key predictors giving insight into why the simplified model has maintained accuracy.
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Affiliation(s)
- Zsolt Zador
- Department of Neurosurgery, Salford Royal Foundation Trust, Salford, Greater Manchester, United Kingdom
- Institute of Cardiovascular Sciences, Centre for Vascular and Stroke Research, University of Manchester, Manchester, United Kingdom
- * E-mail:
| | - Matthew Sperrin
- Health eResearch Centre, Farr Institute, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Andrew T. King
- Department of Neurosurgery, Salford Royal Foundation Trust, Salford, Greater Manchester, United Kingdom
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Quintard H, Leduc S, Ferrari P, Petit I, Ichai C. Early and persistent high level of PS 100β is associated with increased poor neurological outcome in patients with SAH: is there a PS 100β threshold for SAH prognosis? CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2016; 20:33. [PMID: 26843206 PMCID: PMC4738799 DOI: 10.1186/s13054-016-1200-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 01/16/2016] [Indexed: 01/15/2023]
Abstract
BACKGROUND Protein S100β (PS100 β) and neuron specific enolase (NSE) have been described as biological markers of neuronal damage. The purpose of our study was to assess the prognosis thresholds of these biomarkers in subarachnoid aneurysmal hemorrhage (SAH). METHODS Forty eight patients admitted following SAH were treated by endovascular coiling. Initial neurologic severity was assessed using the World Federation Neurologic Surgeons (WFNS), Fisher grades, initial Glasgow coma scale (GCS) and SAPS II. PS100β and NSE plasma concentration were measured daily within the first week. The primary endpoint of the study was the 6-month Glasgow Outcome Score (GOS) dichotomized as poor (GOS 1-3) or good (GOS 4-5). RESULTS A poor outcome at 6-months was associated with significant higher levels of S100β value from day 1 to day 7, whereas NSE values were significantly higher from day 5 to day 7. Best threshold value, for prognosis, was obtained at day 5 for PS100β >0.13 μg/L (specificity 0.95 95% confidence interval (CI) 0.74-1; sensitivity 0.83 95% CI 0.65-0.93) and day 7 for NSE >14.5 μg/L (specificity 0.90 95% CI 0.67-0.98); sensitivity (0.69 95% CI 0.51-0.83)). After multivariate logistic analysis, only PS100β at day 5 and SAPS II enabled to predict neurological outcome at 6 months (p<0.05). CONCLUSION PS100β >0.13 μg/L at day 5 is an independent predicting factor of poor neurological outcome at 6 months following SAH. This result could support the use of this biomarker at the acute phase of SAH to help physician determine the prognosis.
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Affiliation(s)
- Hervé Quintard
- Intensive Care Unit, Hôpital Pasteur 2, Nice University Hospital, 30 Voie Romaine, Nice, 06000, France.
| | - Sébastien Leduc
- Intensive Care Unit, Hôpital Pasteur 2, Nice University Hospital, 30 Voie Romaine, Nice, 06000, France.
| | - Patricia Ferrari
- Department of Biochemistry, Hôpital Pasteur 1, Nice University Hospital, Nice, 06000, France.
| | - Isabelle Petit
- Intensive Care Unit, Hôpital Pasteur 2, Nice University Hospital, 30 Voie Romaine, Nice, 06000, France.
| | - Carole Ichai
- Intensive Care Unit, Hôpital Pasteur 2, Nice University Hospital, 30 Voie Romaine, Nice, 06000, France. .,IRCAN, UMR INSERM U10891-CNRS 7284, Faculté de Médecine, Nice Sophia-Antipolis University, Nice University Hospital, Nice, 06000, France.
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Czorlich P, Sauvigny T, Ricklefs F, Kluge S, Vettorazzi E, Regelsberger J, Westphal M, Schmidt NO. The simplified acute physiology score II to predict hospital mortality in aneurysmal subarachnoid hemorrhage. Acta Neurochir (Wien) 2015; 157:2051-9. [PMID: 26467798 DOI: 10.1007/s00701-015-2605-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 10/05/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND Early prediction of increased morbidity and mortality in aneurysmal subarachnoid hemorrhage (aSAH) remains crucial to improving patient management. Most prediction models lack external validation and focus on disease-specific items without considering physiological parameters and the past medical history. The aim was to assess the validity of the established Simplified Acute Physiology Score II (SAPS-II) in an aSAH cohort for the prediction of hospital mortality and to identify additional physiological and clinical predictors. METHODS The predictive value of SAPS-II for hospital mortality was assessed in a retrospective analysis of 263 consecutive patients with aSAH. Additional physiological and clinical parameters including the past medical history were analyzed by forward selection multivariate analysis to identify independent predictors of hospital mortality and to improve the prediction model. RESULTS The SAPS-II predicted hospital mortality with an area under the curve (AUC) of 0.834 with an odds ratio (OR) of 1.097 [95 % confidence interval 1.067-1.128) for each additional point. Forward selection multivariate analysis identified the Glasgow Coma Scale score (P < 0.001), history of chronic headache (P = 0.01) and medication with anticoagulants (P = 0.04) as independent predictors of hospital mortality. Adding these parameters to the SAPS-II, the AUC increased to 0.86. CONCLUSION This study validates the predictive accuracy of SAPS-II for hospital mortality in aSAH patients. Additional parameters from the past medical history increase its predictive power. From a practical viewpoint, SAPS-II alone already represents a sufficient and powerful score to predict hospital mortality at an early time point and may help to improve patient management.
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Affiliation(s)
- Patrick Czorlich
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Franz Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Stefan Kluge
- Department of Intensive Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eik Vettorazzi
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Regelsberger
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Nils Ole Schmidt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
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Jaja BNR, Lingsma H, Steyerberg EW, Schweizer TA, Thorpe KE, Macdonald RL. Neuroimaging characteristics of ruptured aneurysm as predictors of outcome after aneurysmal subarachnoid hemorrhage: pooled analyses of the SAHIT cohort. J Neurosurg 2015; 124:1703-11. [PMID: 26495952 DOI: 10.3171/2015.4.jns142753] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Neuroimaging characteristics of ruptured aneurysms are important to guide treatment selection, and they have been studied for their value as outcome predictors following aneurysmal subarachnoid hemorrhage (SAH). Despite multiple studies, the prognostic value of aneurysm diameter, location, and extravasated SAH clot on computed tomography scan remains debatable. The authors aimed to more precisely ascertain the relation of these factors to outcome. METHODS The data sets of studies included in the Subarachnoid Hemorrhage International Trialists (SAHIT) repository were analyzed including data on ruptured aneurysm location and diameter (7 studies, n = 9125) and on subarachnoid clot graded on the Fisher scale (8 studies; n = 9452) for the relation to outcome on the Glasgow Outcome Scale (GOS) at 3 months. Prognostic strength was quantified by fitting proportional odds logistic regression models. Univariable odds ratios (ORs) were pooled across studies using random effects models. Multivariable analyses were adjusted for fixed effect of study, age, neurological status on admission, other neuroimaging factors, and treatment modality. The neuroimaging predictors were assessed for their added incremental predictive value measured as partial R(2). RESULTS Spline plots indicated outcomes were worse at extremes of aneurysm size, i.e., less than 4 or greater than 9 mm. In between, aneurysm size had no effect on outcome (OR 1.03, 95% CI 0.98-1.09 for 9 mm vs 4 mm, i.e., 75th vs 25th percentile), except in those who were treated conservatively (OR 1.17, 95% CI 1.02-1.35). Compared with anterior cerebral artery aneurysms, posterior circulation aneurysms tended to result in slightly poorer outcome in patients who underwent endovascular coil embolization (OR 1.13, 95% CI 0.82-1.57) or surgical clipping (OR 1.32, 95% CI 1.10-1.57); the relation was statistically significant only in the latter. Fisher CT subarachnoid clot burden was related to outcome in a gradient manner. Each of the studied predictors accounted for less than 1% of the explained variance in outcome. CONCLUSIONS This study, which is based on the largest cohort of patients so far analyzed, has more precisely determined the prognostic value of the studied neuroimaging factors. Treatment choice has strong influence on the prognostic effect of aneurysm size and location. These findings should guide the development of reliable prognostic models and inform the design and analysis of future prospective studies, including clinical trials.
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Affiliation(s)
- Blessing N R Jaja
- Division of Neurosurgery and.,Li Ka Shing Knowledge Institute, St. Michael's Hospital;,Institute of Medical Science
| | - Hester Lingsma
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, The Netherlands
| | - Ewout W Steyerberg
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, The Netherlands
| | - Tom A Schweizer
- Division of Neurosurgery and.,Li Ka Shing Knowledge Institute, St. Michael's Hospital;,Institute of Medical Science
| | - Kevin E Thorpe
- Li Ka Shing Knowledge Institute, St. Michael's Hospital;,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; and
| | - R Loch Macdonald
- Division of Neurosurgery and.,Li Ka Shing Knowledge Institute, St. Michael's Hospital;,Institute of Medical Science
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Azurmendi L, Degos V, Tiberti N, Kapandji N, Sanchez-Peña P, Sarrafzadeh A, Puybasset L, Turck N, Sanchez JC. Neopterin plasma concentrations in patients with aneurysmal subarachnoid hemorrhage: correlation with infection and long-term outcome. J Neurosurg 2015; 124:1287-99. [PMID: 26406798 DOI: 10.3171/2015.3.jns142212] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Aneurysmal subarachnoid hemorrhage (aSAH) is associated with high rates of mortality and morbidity. The main predictor for the poor outcome is the World Federation of Neurosurgical Societies (WFNS) scale. However, this scale does not take into account proinflammatory events, such as infection occurring after the aSAH, which could modify the long-term status of patients. The aim of this study was to evaluate neopterin as an inflammatory biomarker for outcome and infection prediction in aSAH patients. METHODS Plasma concentrations of neopterin were measured in 61 aSAH patients (22 male and 39 female; mean age [± SD] 52.8 ± 11.8 years) using a commercial ELISA kit. Samples were collected daily for 10 days. Outcome at 12 months was determined using the Glasgow Outcome Scale (GOS) and dichotomized as poor (GOS score 1, 2, or 3) or good (GOS score 4 or 5). Infection was determined by the presence of a positive bacterial culture. RESULTS Patients with poor outcome at 12 months had higher concentrations of neopterin than patients with good outcome. In the same way, patients who had an infection during the hospitalization had significantly higher concentrations of neopterin than patients without infection (p = 0.001). Moreover, neopterin concentrations were significantly (p < 0.008) elevated in infected patients 2 days before infection detection and antibiotic therapy. CONCLUSIONS Neopterin is an efficient outcome predictor after aSAH. Furthermore, it is able to differentiate between infected and uninfected patients as early as 2 days before clinical signs of infection, facilitating earlier antibiotic therapy and better management.
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Affiliation(s)
- Leire Azurmendi
- Department of Human Protein Sciences, University of Geneva, Geneva, Switzerland
| | - Vincent Degos
- Department of Anaesthesiology, Pitié-Salpêtrière University Hospital, Paris, France; and
| | - Natalia Tiberti
- Department of Human Protein Sciences, University of Geneva, Geneva, Switzerland
| | - Natacha Kapandji
- Department of Anaesthesiology, Pitié-Salpêtrière University Hospital, Paris, France; and
| | - Paola Sanchez-Peña
- Department of Anaesthesiology, Pitié-Salpêtrière University Hospital, Paris, France; and
| | - Asita Sarrafzadeh
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Germany
| | - Louis Puybasset
- Department of Anaesthesiology, Pitié-Salpêtrière University Hospital, Paris, France; and
| | - Natacha Turck
- Department of Human Protein Sciences, University of Geneva, Geneva, Switzerland
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Cardiac Troponin Elevation and Outcome after Subarachnoid Hemorrhage: A Systematic Review and Meta-analysis. J Stroke Cerebrovasc Dis 2015; 24:2375-84. [PMID: 26227321 DOI: 10.1016/j.jstrokecerebrovasdis.2015.06.030] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Revised: 06/11/2015] [Accepted: 06/24/2015] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Cardiac abnormalities frequently occur after subarachnoid hemorrhage (SAH). Cardiac troponin (cTn) is a preferred biomarker for the diagnosis of cardiac damage, and the clinical significance of cTn elevation after SAH remains controversial. This meta-analysis was performed to assess the association between cTn elevation and patient outcomes, including delayed cerebral ischemia (DCI), poor outcome (death or dependency), and death in SAH patients. METHODS PubMed, Embase, and the Cochrane Library were searched for observational studies reporting an association between cTn elevation and outcome after SAH that were published before December 31, 2014. We extracted data regarding patient characteristics, cTn elevation, and outcome measurements (DCI, poor outcome, or death). Risk ratios (RRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS Twelve studies involving 2214 patients were included in data analysis. Elevation of cTn was observed in 30% of the patients. The cTn elevation was associated with an increased risk of DCI (RR, 1.48; 95% CI, 1.23-1.79), poor outcome (RR, 1.91; 95% CI, 1.51-2.40), and death (RR, 2.53; 95% CI, 2.04-3.12). At the 3- and 12- month follow-ups, cTn elevation was associated with higher rates of DCI (RR, 1.51; 95% CI, 1.11-2.07), poor outcome (RR, 1.91; 95% CI, 1.51-2.40), and death (RR, 2.78; 95% CI, 1.80-4.29). At in-hospital follow-ups, cTn elevation was also associated with the higher rate of death (RR, 2.33; 95% CI, 1.76-3.07). CONCLUSIONS cTn elevation in SAH patients is associated with an increased risk of DCI, poor outcome, and death after SAH.
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Carpenter KLH, Czosnyka M, Jalloh I, Newcombe VFJ, Helmy A, Shannon RJ, Budohoski KP, Kolias AG, Kirkpatrick PJ, Carpenter TA, Menon DK, Hutchinson PJ. Systemic, local, and imaging biomarkers of brain injury: more needed, and better use of those already established? Front Neurol 2015; 6:26. [PMID: 25741315 PMCID: PMC4332345 DOI: 10.3389/fneur.2015.00026] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 01/30/2015] [Indexed: 02/02/2023] Open
Abstract
Much progress has been made over the past two decades in the treatment of severe acute brain injury, including traumatic brain injury and subarachnoid hemorrhage, resulting in a higher proportion of patients surviving with better outcomes. This has arisen from a combination of factors. These include improvements in procedures at the scene (pre-hospital) and in the hospital emergency department, advances in neuromonitoring in the intensive care unit, both continuously at the bedside and intermittently in scans, evolution and refinement of protocol-driven therapy for better management of patients, and advances in surgical procedures and rehabilitation. Nevertheless, many patients still experience varying degrees of long-term disabilities post-injury with consequent demands on carers and resources, and there is room for improvement. Biomarkers are a key aspect of neuromonitoring. A broad definition of a biomarker is any observable feature that can be used to inform on the state of the patient, e.g., a molecular species, a feature on a scan, or a monitoring characteristic, e.g., cerebrovascular pressure reactivity index. Biomarkers are usually quantitative measures, which can be utilized in diagnosis and monitoring of response to treatment. They are thus crucial to the development of therapies and may be utilized as surrogate endpoints in Phase II clinical trials. To date, there is no specific drug treatment for acute brain injury, and many seemingly promising agents emerging from pre-clinical animal models have failed in clinical trials. Large Phase III studies of clinical outcomes are costly, consuming time and resources. It is therefore important that adequate Phase II clinical studies with informative surrogate endpoints are performed employing appropriate biomarkers. In this article, we review some of the available systemic, local, and imaging biomarkers and technologies relevant in acute brain injury patients, and highlight gaps in the current state of knowledge.
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Affiliation(s)
- Keri L. H. Carpenter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK,Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK,*Correspondence: Keri L. H. Carpenter, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Box 167, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK e-mail:
| | - Marek Czosnyka
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Ibrahim Jalloh
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Virginia F. J. Newcombe
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK,Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Richard J. Shannon
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Karol P. Budohoski
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Angelos G. Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter J. Kirkpatrick
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Thomas Adrian Carpenter
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - David K. Menon
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK,Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Peter J. Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK,Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Walder B, Robin X, Rebetez MML, Copin JC, Gasche Y, Sanchez JC, Turck N. The prognostic significance of the serum biomarker heart-fatty acidic binding protein in comparison with s100b in severe traumatic brain injury. J Neurotrauma 2014; 30:1631-7. [PMID: 23590685 DOI: 10.1089/neu.2012.2791] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The outcome after severe traumatic brain injury (TBI) is largely unfavorable, with approximately two thirds of patients suffering from severe disabilities or dying during the first 6 months. Existing predictive models displayed only limited utility for outcome prediction in individual patients. Time courses of heart-fatty acidic binding protein (H-FABP) and their association with outcome were investigated and compared with S100b. Forty-nine consecutive patients with severe TBI (sTBI; Head component of the Abbreviated Injury Scale [HAIS] >3) with mono and multiple trauma were enrolled in this study. Enzyme-linked immunosorbent assay measured blood concentrations of H-FABP and S100b at 6, 12, 24, and 48 h after TBI. Outcome measures were conscious state at 14 days (Glasgow Coma Scale), disability (Glasgow Outcome Scale Extended; GOSE), and mortality at 3 months. Univariate logistic regression analysis and receiver operating characteristic curves analysis were carried out. Maximal H-FABP and S100b concentrations were observed at 6 h after TBI (34.4±34.0 and 0.64±0.99 ng/mL, respectively). Patients with multi-trauma had significantly higher H-FABP concentrations at 24 and 48 h (22.6±25.6 and 12.4±18.2 ng/mL, respectively), compared to patients with mono trauma (6.9±5.1 and 3.7±4.2 ng/mL, respectively). In the first 48 h, H-FABP and S100b were inversely correlated with the GOSE at 3 months; H-FABP at 48 h predicted mortality with 75% sensitivity and 93% specificity. Early blood levels of H-FABP after sTBI have prognostic significance for survival and disability.
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Affiliation(s)
- Bernhard Walder
- 1 Division of Anaesthesiology, University Hospitals of Geneva , Geneva, Switzerland
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Lee VH, Ouyang B, John S, Conners JJ, Garg R, Bleck TP, Temes RE, Cutting S, Prabhakaran S. Risk Stratification for the In-Hospital Mortality in Subarachnoid Hemorrhage: The HAIR Score. Neurocrit Care 2014; 21:14-9. [DOI: 10.1007/s12028-013-9952-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Hsu MJ, Chang YCI, Hsueh HM. Biomarker selection for medical diagnosis using the partial area under the ROC curve. BMC Res Notes 2014; 7:25. [PMID: 24410929 PMCID: PMC3923449 DOI: 10.1186/1756-0500-7-25] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 12/23/2013] [Indexed: 11/17/2022] Open
Abstract
Background A biomarker is usually used as a diagnostic or assessment tool in medical research. Finding an ideal biomarker is not easy and combining multiple biomarkers provides a promising alternative. Moreover, some biomarkers based on the optimal linear combination do not have enough discriminatory power. As a result, the aim of this study was to find the significant biomarkers based on the optimal linear combination maximizing the pAUC for assessment of the biomarkers. Methods Under the binormality assumption we obtain the optimal linear combination of biomarkers maximizing the partial area under the receiver operating characteristic curve (pAUC). Related statistical tests are developed for assessment of a biomarker set and of an individual biomarker. Stepwise biomarker selections are introduced to identify those biomarkers of statistical significance. Results The results of simulation study and three real examples, Duchenne Muscular Dystrophy disease, heart disease, and breast tissue example are used to show that our methods are most suitable biomarker selection for the data sets of a moderate number of biomarkers. Conclusions Our proposed biomarker selection approaches can be used to find the significant biomarkers based on hypothesis testing.
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Affiliation(s)
- Man-Jen Hsu
- Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan.
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Clinical prediction models for aneurysmal subarachnoid hemorrhage: a systematic review. Neurocrit Care 2013; 18:143-53. [PMID: 23138544 DOI: 10.1007/s12028-012-9792-z] [Citation(s) in RCA: 106] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Clinical prediction models can enhance clinical decision-making and research. However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are rarely used. We evaluated the methodological validity of SAH prediction models and the relevance of the main predictors to identify potentially reliable models and to guide future attempts at model development. METHODS We searched the EMBASE, MEDLINE, and Web of Science databases from January 1995 to June 2012 to identify studies that reported clinical prediction models for mortality and functional outcome in aSAH. Validated methods were used to minimize bias. RESULTS Eleven studies were identified; 3 developed models from datasets of phase 3 clinical trials, the others from single hospital records. The median patient sample size was 340 (interquartile range 149-733). The main predictors used were age (n = 8), Fisher grade (n = 6), World Federation of Neurological Surgeons grade (n = 5), aneurysm size (n = 5), and Hunt and Hess grade (n = 3). Age was consistently dichotomized. Potential predictors were prescreened by univariate analysis in 36 % of studies. Only one study was penalized for model optimism. Details about model development were often insufficiently described and no published studies provided external validation. CONCLUSIONS While clinical prediction models for aSAH use a few simple predictors, there are substantial methodological problems with the models and none have had external validation. This precludes the use of existing models for clinical or research purposes. We recommend further studies to develop and validate reliable clinical prediction models for aSAH.
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Le Roux P. Physiological monitoring of the severe traumatic brain injury patient in the intensive care unit. Curr Neurol Neurosci Rep 2013; 13:331. [PMID: 23328942 DOI: 10.1007/s11910-012-0331-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Traumatic brain injury (TBI) is a major cause of morbidity and mortality worldwide. Despite encouraging animal research, pharmacological agents and neuroprotectants have disappointed in the clinical environment. Current TBI management therefore is directed towards identification, prevention, and treatment of secondary cerebral insults that are known to exacerbate outcome after injury. This strategy is based on a variety of monitoring techniques that include the neurological examination, imaging, laboratory analysis, and physiological monitoring of the brain and other organ systems used to guide therapeutic interventions. Recent clinical series suggest that TBI management informed by multimodality monitoring is associated with improved patient outcome, in part because care is provided in a patient-specific manner. In this review we discuss physiological monitoring of the brain after TBI and the emerging field of neurocritical care bioinformatics.
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Affiliation(s)
- Peter Le Roux
- Department of Neurosurgery, University of Pennsylvania, 235 South 8th Street, Philadelphia, PA 19106, USA.
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Farina A, Dumonceau JM, Antinori P, Annessi-Ramseyer I, Frossard JL, Hochstrasser DF, Delhaye M, Lescuyer P. Bile carcinoembryonic cell adhesion molecule 6 (CEAM6) as a biomarker of malignant biliary stenoses. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2013; 1844:1018-25. [PMID: 23806607 DOI: 10.1016/j.bbapap.2013.06.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2013] [Revised: 06/13/2013] [Accepted: 06/14/2013] [Indexed: 12/25/2022]
Abstract
Differentiating malignant from nonmalignant biliary stenoses is challenging. This could be facilitated by the measurement of cancer biomarkers in bile. We aimed at (i) identifying new cancer biomarkers by comparative proteomic analysis of bile collected from patients with a malignant or benign biliary stenosis (exploratory phase) and (ii) verifying the accuracy of the newly identified potential biomarkers for discriminating malignant versus nonmalignant biliary stenoses in a larger group of patients (confirmation phase). Overall, 66 proteins were found overexpressed (ratio>1.5) in at least one cancer condition using proteomic analysis and 7 proteins were increased in all malignant/nonmalignant disease comparisons. Preliminary screening by immunoblot highlighted carcinoembryonic cell adhesion molecule 6 (CEAM6), a cell surface protein overexpressed in many human cancers, as an interesting candidate biomarker. ELISA subsequently confirmed CEAM6 as a potential bile biomarker for distinguishing malignant from benign biliary stenoses with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.92 (specificity 83%, sensitivity 93%, positive predictive value 93%, and negative predictive value 83%). No significant difference in serum CEAM6 level was found between malignant and nonmalignant samples. Combining bile CEAM6 and serum CA19-9 in a panel further improved diagnostic accuracy for malignant stenoses (AUC 0.96, specificity 83%, sensitivity 97%, positive predictive value 93%, and negative predictive value 91%). CEAM6 measurement in bile could be clinically useful to discriminate between malignant and nonmalignant causes of biliary stenosis. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.
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Affiliation(s)
- Annarita Farina
- Biomedical Proteomics Research Group, Department of Human Protein Sciences, Geneva University, Geneva CH-1211, Switzerland.
| | - Jean-Marc Dumonceau
- Division of Gastroenterology and Hepatology, Geneva University Hospitals, Geneva CH-1211, Switzerland
| | - Paola Antinori
- Biomedical Proteomics Research Group, Department of Human Protein Sciences, Geneva University, Geneva CH-1211, Switzerland
| | - Isabelle Annessi-Ramseyer
- Biomedical Proteomics Research Group, Department of Human Protein Sciences, Geneva University, Geneva CH-1211, Switzerland; Clinical Proteomics Laboratory, Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Geneva CH-1211, Switzerland
| | - Jean-Louis Frossard
- Division of Gastroenterology and Hepatology, Geneva University Hospitals, Geneva CH-1211, Switzerland
| | - Denis F Hochstrasser
- Biomedical Proteomics Research Group, Department of Human Protein Sciences, Geneva University, Geneva CH-1211, Switzerland; Clinical Proteomics Laboratory, Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Geneva CH-1211, Switzerland
| | - Myriam Delhaye
- Department of Gastroenterology, Erasme Hospital, Free University of Brussels, Brussels BE-1070, Belgium
| | - Pierre Lescuyer
- Biomedical Proteomics Research Group, Department of Human Protein Sciences, Geneva University, Geneva CH-1211, Switzerland; Clinical Proteomics Laboratory, Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Geneva CH-1211, Switzerland
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Chen HY. Angiographic Coronary Spasm in a Case of Spontaneous Subarachnoid Hemorrhage Mimicking Acute Myocardial Infarction. Cardiol Res 2013; 4:74-77. [PMID: 28352424 PMCID: PMC5358217 DOI: 10.4021/cr269w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2013] [Indexed: 01/05/2023] Open
Abstract
Neurologic stunned myocardium after subarachnoid hemorrhage (SAH) has been evidenced. Clinical presentations manifested as ST segment elevation by electrocardiography (ECG), left ventricular wall motion abnormality by echocardiography, and abnormal cardiac markers. The pathophysiology remains controversial. Coronary artery spasm has been proposed as a possible mechanism. However, most SAH patients with ECG and echocardiographic findings suggestive of myocardial infarction were lacking of angiographic evidence of vasospasm. We present a case of 66-year-old man complained chest pain with transient conscious loss on the street. He was sent to our emergency room by witness with clear consciousness and electrocardiography showing prominent ST-segment elevation. Because chest tightness was complained, emergent catheterization was arranged immediately. Coronary angiography demonstrated a narrowing lesion on mid right coronary artery without atherosclerotic change on other site. He was successfully treated with primary coronary balloon angioplasty for the narrowing lesion. Then the patient was sent to intensive care unit for further care. His following ECG demonstrated sinus rhythm with ectopic beats without ST segment elevation. Unfortunately, he became irritable and deterioration of conscious level few hour later. Computer tomography revealed subdural and subarachnoid hemorrhage. Conservative treatment was suggested by neurological surgeon consulted. The clinical presentation of the SAH patient mimicked acute myocardial infarction and coronary spasm was evidenced by angiography. We report the case and review the articles.
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Affiliation(s)
- Hung Yi Chen
- Department of Cardiology, Taipei City Hospital-Heping Branch, No. 33, Sec. 2, Zhonghua Rd., Taipei City 100, Taiwan.
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Zanier ER, Zoerle T, Fiorini M, Longhi L, Cracco L, Bersano A, Branca V, Benedetti MD, De Simoni MG, Monaco S, Stocchetti N. Heart-fatty acid-binding and tau proteins relate to brain injury severity and long-term outcome in subarachnoid haemorrhage patients. Br J Anaesth 2013; 111:424-32. [PMID: 23650253 DOI: 10.1093/bja/aet149] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Vasospasm and other secondary neurological insults may follow subarachnoid haemorrhage (SAH). Biomarkers have the potential to stratify patient risk and perhaps serve as an early warning sign of delayed ischaemic injury. METHODS Serial cerebrospinal fluid (CSF) samples were collected from 38 consecutive patients with aneurysmal SAH admitted to the neurosurgical intensive care unit. We measured heart-fatty acid-binding protein (H-FABP) and tau protein (τ) levels in the CSF to evaluate their association with brain damage, and their potential as predictors of the long-term outcome. H-FABP and τ were analysed in relation to acute clinical status, assessed by the World Federation of Neurological Surgeons (WFNS) scale, radiological findings, clinical vasospasm, and 6-month outcome. RESULTS H-FABP and τ increased after SAH. H-FABP and τ were higher in patients in poor clinical status on admission (WFNS 4-5) compared with milder patients (WFNS 1-3). Elevated H-FABP and τ levels were also observed in patients with early cerebral ischaemia, defined as a CT scan hypodense lesion visible within the first 3 days after SAH. After the acute phase, H-FABP, and τ showed a delayed increase with the occurrence of clinical vasospasm. Finally, patients with the unfavourable outcome (death, vegetative state, or severe disability) had higher peak levels of both proteins compared with patients with good recovery or moderate disability. CONCLUSIONS H-FABP and τ show promise as biomarkers of brain injury after SAH. They may help to identify the occurrence of vasospasm and predict the long-term outcome.
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Affiliation(s)
- E R Zanier
- IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Department of Neuroscience, Via G. La Masa 19, 20156 Milan, Italy.
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Stocchetti N, Le Roux P, Vespa P, Oddo M, Citerio G, Andrews PJ, Stevens RD, Sharshar T, Taccone FS, Vincent JL. Clinical review: neuromonitoring - an update. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2013; 17:201. [PMID: 23320763 PMCID: PMC4057243 DOI: 10.1186/cc11513] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Critically ill patients are frequently at risk of neurological dysfunction as a result of primary neurological conditions or secondary insults. Determining which aspects of brain function are affected and how best to manage the neurological dysfunction can often be difficult and is complicated by the limited information that can be gained from clinical examination in such patients and the effects of therapies, notably sedation, on neurological function. Methods to measure and monitor brain function have evolved considerably in recent years and now play an important role in the evaluation and management of patients with brain injury. Importantly, no single technique is ideal for all patients and different variables will need to be monitored in different patients; in many patients, a combination of monitoring techniques will be needed. Although clinical studies support the physiologic feasibility and biologic plausibility of management based on information from various monitors, data supporting this concept from randomized trials are still required.
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