Guidelines for Qualifications of Neurodiagnostic Personnel: A Joint Position Statement of the American Clinical Neurophysiology Society, the American Association of Neuromuscular & Electrodiagnostic Medicine, the American Society of Neurophysiological Monitoring, and ASET-The Neurodiagnostic Society.

SUMMARY: The Guidelines for Qualifications of Neurodiagnostic Personnel (QNP) document has been created through the collaboration of the American Clinical Neurophysiology Society (ACNS), the American Society of Neurophysiological Monitoring (ASNM), the American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), and ASET-The Neurodiagnostic Society (ASET). The quality of patient care is optimized when neurophysiological procedures are performed and interpreted by appropriately trained and qualified practitioners at every level. These societies recognize that neurodiagnostics is a large field with practitioners who have entered the field through a variety of training paths. This document suggests job titles, associated job responsibilities, and the recommended levels of education, certification, experience, and ongoing education appropriate for each job. This is important because of the growth and development of standardized training programs, board certifications, and continuing education in recent years. This document matches training, education, and credentials to the various tasks required for performing and interpreting neurodiagnostic procedures. This document does not intend to restrict the practice of those already working in neurodiagnostics. It represents recommendations of these societies with the understanding that federal, state, and local regulations, as well as individual hospital bylaws, supersede these recommendations. Because neurodiagnostics is a growing and dynamic field, the authors fully intend this document to change over time.

Evaluation and resolution of many challenges of neural spike sorting: a new sorter.

We evaluate existing spike sorters and present a new one that resolves many sorting challenges. The new sorter, called "full binary pursuit" or FBP, comprises multiple steps. First, it thresholds and clusters to identify the waveforms of all unique neurons in the recording. Second, it uses greedy binary pursuit to optimally assign all the spike events in the original voltages to separable neurons. Third, it resolves spike events that are described more accurately as the superposition of spikes from two other neurons. Fourth, it resolves situations where the recorded neurons drift in amplitude or across electrode contacts during a long recording session. Comparison with other sorters on ground-truth data sets reveals many of the failure modes of spike sorting. We examine overall spike sorter performance in ground-truth data sets and suggest postsorting analyses that can improve the veracity of neural analyses by minimizing the intrusion of failure modes into analysis and interpretation of neural data. Our analysis reveals the tradeoff between the number of channels a sorter can process, speed of sorting, and some of the failure modes of spike sorting. FBP works best on data from 32 channels or fewer. It trades speed and number of channels for avoidance of specific failure modes that would be challenges for some use cases. We conclude that all spike sorting algorithms studied have advantages and shortcomings, and the appropriate use of a spike sorter requires a detailed assessment of the data being sorted and the experimental goals for analyses.NEW & NOTEWORTHY Electrophysiological recordings from multiple neurons across multiple channels pose great difficulty for spike sorting of single neurons. We propose methods that improve the ability to determine the number of individual neurons present in a recording and resolve near-simultaneous spike events from single neurons. We use ground-truth data sets to demonstrate the pros and cons of several current sorting algorithms and suggest strategies for determining the accuracy of spike sorting when ground-truth data are not available.

An open-source application for the standardized burst identification from the integrated muscle sympathetic neurogram.

Muscle sympathetic nerve activity (MSNA) can be acquired from humans using the technique of microneurography. The resulting integrated neurogram displays pulse-synchronous bursts of sympathetic activity, which undergoes processing for standard MSNA metrics including burst frequency, height, area, incidence, total activity, and latency. The procedure for detecting bursts of MSNA and calculating burst metrics is tedious and differs widely among laboratories worldwide. We sought to develop an open-source, cross-platform web application that provides a standardized approach for burst identification and a tool to increase research reproducibility for those measuring MSNA. We compared the performance of this web application against a manual scoring approach under conditions of rest, chemoreflex activation (n = 9, 20-min isocapnic hypoxia), and metaboreflex activation (n = 13, 2-min isometric handgrip exercise and 4-min postexercise circulatory occlusion). The intraclass correlation coefficient (ICC) indicated good to strong agreement between scoring approaches for burst frequency (ICC = 0.92-0.99), incidence (ICC = 0.94-0.99), height (ICC = 0.76-0.88), total activity (ICC = 0.85-0.99), and latency (ICC = 0.97-0.99). Agreement with burst area was poor to moderate (ICC = 0.04-0.67) but changes in burst area were similar with chemoreflex and metaboreflex activation. Scoring using the web application was highly efficient and provided data visualization tools that expedited data processing and the analysis of MSNA. We recommend the open-source web application be adopted by the community for the analysis of MSNA.NEW & NOTEWORTHY The basic analysis of muscle sympathetic nerve activity (MSNA) requires the identification of pulse-synchronous bursts from the integrated neurogram before standard MSNA metrics can be quantified. This process is a time-consuming task requiring an experienced microneurographer to visually identify and manually label bursts. We developed an open-source, cross-platform application permitting a standardized approach for sympathetic burst identification and present the performance of this application against a manual scorer under basal conditions and during sympathoexcitatory stresses.

Importance of access to epilepsy monitoring units during the COVID-19 pandemic: Consensus statement of the International League against epilepsy and the International Federation of Clinical Neurophysiology.

Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of Epilepsy Monitoring Units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action to continue functioning of Epilepsy Monitoring Units during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis where reduction of antiseizure medication is not required, consider home video-EEG monitoring as an alternative in selected patients.

Practice Guideline: Use of Quantitative EEG for the Diagnosis of Mild Traumatic Brain Injury: Report of the Guideline Committee of the American Clinical Neurophysiology Society.

SUMMARY: Despite many decades of research, controversy regarding the utility of quantitative EEG (qEEG) for the accurate diagnosis of mild traumatic brain injury (mTBI) remains. This guideline is meant to assist clinicians by providing an expert review of the clinical usefulness of qEEG techniques for the diagnosis of mTBI. This guideline addresses the following primary aim: For patients with or without posttraumatic symptoms (abnormal cognition or behavior), does qEEG either at the time of injury or remote from the injury, as compared with current clinical diagnostic criteria, accurately identify those patients with mTBI (i.e., concussion)? Secondary aims included differentiating between mTBI and other diagnoses, detecting mTBI in the presence of central nervous system medications, and pertinence of statistical methods for measurements of qEEG components. It was found that for patients with or without symptoms of abnormal cognition or behavior, current evidence does not support the clinical use of qEEG either at the time of the injury or remote from the injury to diagnose mTBI (level U). In addition, the evidence does not support the use of qEEG to differentiate mTBI from other diagnoses or detect mTBI in the presence of central nervous system medications, and suitable statistical methods do not exist when using qEEG to identify patients with mTBI. Based upon the current literature review, qEEG remains an investigational tool for mTBI diagnosis (class III evidence).

Differentiating stages of reward responsiveness: Neurophysiological measures and associations with facets of the behavioral activation system.

The Research Domain Criteria (RDoC) positive valence systems domain include multiple aspects of reward responsiveness with potential to elucidate the understanding of motivational and hedonic deficits in psychological disorders. There is a need for reliable and valid methods to delineate behavioral and biological processes underlying stages of reward responsiveness. Event-related potentials (ERPs) offer a promising method for examining the temporal dynamics of reward processing, but the literature has mainly focused on the feedback stage and often single components. We investigated the electrophysiological aspects of reward anticipation and initial response to reward using an ERP monetary incentive delay task in 114 emerging adults. Principal component analysis was used to derive temporally and spatially distinct ERP components sensitive to reward processing. Components that reflect initial engagement toward a cue indicating potential reward (cue-P3) and anticipation of possible reward feedback (stimulus-preceding negativity; SPN) emerged in the anticipatory stage. In the initial response to reward stage, a reward positivity (RewP) was found. We further tested the association between ERPs and self-reported facets of the behavioral activation system. Greater self-reported reward responsiveness was associated with heightened response in the anticipatory stage (i.e., cue-P3, SPN). Self-reported drive was positively associated with RewP, but fun-seeking was negatively associated with RewP. Additional components were observed beyond those identified in prior work, warranting future research on temporal dynamics of reward processing across stages. Furthermore, examination of a broader range of reward-related ERPs in clinical populations has the potential to more precisely characterize alterations in positive valence systems in psychopathology.

Utility of neuromuscular ultrasound in the investigation of common mononeuropathies in everyday neurophysiology practice.

INTRODUCTION: In everyday clinical neurophysiology practice, mononeuropathies are evaluated primarily by traditional electrodiagnostic testing. We sought to assess the additional benefit of neuromuscular ultrasound (US) in this scenario. METHODS: All consecutive mononeuropathies undergoing combined US and electrodiagnostic evaluation over a 23-mo period at a single neurophysiology practice were reviewed. Three independent examiners assessed how often US was: (a) "contributory" - enabling a definite diagnosis not made by electrophysiology alone and/or impacting on the therapeutic decision, (b) "confirmatory" of the electrodiagnostic findings, but not adding further diagnostic or therapeutic information, or (c) "negative" - missed the diagnosis. RESULTS: There were 385 studies included. US was "contributory" in 36%, "confirmatory" in 61% and "negative" in 3%. DISCUSSION: In this study of everyday neurophysiology practice, neuromuscular US contributed significant diagnostic or therapeutic information in over 1/3 of the investigations for common mononeuropathies. False negative US studies were uncommon in this setting.

Gender Disparity and Potential Strategies for Improvement in Neurology and Clinical Neurophysiology.

Discrimination in the workplace when documented is illegal but is seen to still exist in some forms whether based on culture, race, or gender. Each of these disparities warrants further discussion and study because of their significant impacts on hiring decisions, career advancement, and compensation. In this article, the authors have focused their attention on gender disparity in the fields of neurology and clinical neurophysiology and shared the data currently available to them. At a time when the field of clinical neurophysiology has seen enormous growth, gender disparity in leadership and compensation remain. Despite the increasing number of women entering the fields of neurology and clinical neurophysiology, women remain underrepresented in national leadership positions. Many women physicians report experiencing gender discrimination despite increasing efforts by universities and medical centers to improve inclusivity and diversity. Equity and inclusivity are not the same and there is a disconnect between the increased numbers of women and their shared experiences in the workplace. Implicit bias undermines the ability of women to advance in their careers. For neurologists, data indicate that the latest gender pay gap is $56,000 (24%), increased from $37,000 in 2015, and is one of the largest pay gaps in any medical specialty. One third of the top 12 medical schools in the United States require that maternity leave be taken through disability coverage and/or sick benefits, and most family leave policies constrain benefits to the discretion of departmental leadership. The authors recommend strategies to improve gender disparity include institutional training to Identify and overcome biases, changes to professional organizations and national scientific meeting structure, transparency in academic hiring, promotion and compensation, and mentorship and sponsorship programs.

Electroencephalography during SARS-CoV-2 outbreak: practical recommendations from the task force of the Italian Society of Neurophysiology (SINC), the Italian League Against Epilepsy (LICE), and the Italian Association of Neurophysiology Technologists (AITN).

BACKGROUND: During COVID-19 lockdown, non-urgent medical procedures were suspended. Grade of urgency of electroencephalography (EEG) may vary according to the clinical indication, setting, and status of infection of SARS-CoV-2 virus. "Italian Society of Clinical Neurophysiology" (SINC), "Italian League Against Epilepsy" (LICE), and the "Italian Association of Neurophysiology Technologists" (AITN) aimed to provide clinical and technical recommendation for EEG indications and recording standards in this pandemic era. METHODS: Presidents of SINC, LICE, and AITN endorsed three members per each society to formulate recommendations: classification of the degree of urgency of EEG clinical indications, management and behavior of physicians and neurophysiology technologists, hygiene and personal protection standards, and use of technical equipment. RESULTS: Scientific societies endorsed a paper conveying the recommendation for EEG execution in accordance with clinical urgency, setting (inpatients/outpatients), status of SARS-CoV-2 virus infection (positive, negative and uncertain), and phase of governmental restrictions (phase 1 and 2). Briefly, in phase 1, EEG was recommended only for those acute/subacute neurological symptoms where EEG is necessary for diagnosis, prognosis, or therapy. Outpatient examinations should be avoided in phase 1, while they should be recommended in urgent cases in phase 2 when they could prevent an emergency room access. Reduction of staff contacts must be encouraged through rescheduling job shifts. The use of disposable electrodes and dedicated EEG devices for COVID-19-positive patients are recommended. CONCLUSIONS: During the different phases of COVID-19 pandemic, the EEG should be reserved for patients really benefiting from its execution in terms of diagnosis, treatment, prognosis, and avoidance of emergency room access.

Electroencephalography at the time of Covid-19 pandemic in Italy.

OBJECTIVE: During the Covid-19 pandemic, government restrictions limited health care to urgent needs. Neurophysiology centers had to suddenly reschedule their activities, with a lack of specific recommendations about electroencephalography (EEG) execution. During the pandemic phase 1, we launched an online survey to understand the flaws and strengths of the EEG management in Italy at the time of Covid-19 pandemic. METHODS: A 45-item online survey (published from April 16 to 30, 2020), endorsed by the Italian Society of Clinical Neurophysiology (SINC), the Italian League Against epilepsy (LICE), and the Italian Association of Neurophysiology technologists (AITN), collected EEG management data (EEG's number and type, indications, personnel and patients safety, devices' sanification) during the Covid-19 pandemic. RESULTS: We received responses from 206 centers. The number of EEGs performed was reduced by 76 ± 20%, and several types of specific EEG (video-EEG, ambulatory-EEG, LTM, polysomnography) were reduced at a minimum. Half of the centers performed inpatient EEGs only for urgencies. Repetitive seizures, encephalitis, and non-convulsive status epilepticus were the most common indications. Covid-19-positive patients received less EEG than negative ones (p < 0.0001). EEG requests came mainly not only from neurologists (n = 176) but also from general practitioners (n = 40), emergentists (n = 79), intensivists (n = 72), and other specialists (n = 53). Those centers which continued performing outpatient EEG examinations were instructed to perform the EEG after a Covid-19-related symptom screening for patients and using personal protective equipment (PPE) through all the procedure. Inpatient EEGs were performed using FFP2/FFP3 masks by neurophysiology technologists in only 50% of cases. Patients executed hyperventilation only for real clinical needs, but often (56%) with a mask. CONCLUSIONS: Italian neurophysiology centers strongly adhered to government restrictions of lockdown. Some issues emerged, ranging from the evaluation of a proper indication for EEG, technical procedures of EEG recording, and protection of neurophysiology technicians.

False positives from impurities result in incorrect functional characterization of receptors in chemosensory studies.

The discovery of chemoreceptors and technological advances have greatly increased our understanding of chemosensory mechanisms. However, some of this rapid progress may have been severely compromised by insufficient attention given to the possible effects of impurities in the chemical standards used in identifying ligands for target receptors. Here, we show that even trace amounts of impurities in test stimuli can completely obscure true ligand-receptor relationships. Responses to impurities may go unrecognized because of two main factors. First, the sensitivity of receptors to ligands may be greater than that of the instruments used to check sample purity. Second, the concentrations of impurities actually reaching the chemoreceptor during experiments may be orders of magnitude higher than that of the putative stimulus, due to large differences in vapour pressure between the impurities and the putative stimulus. Errors caused by impurities are not limited to receptor-ligand studies, but can also affect related areas of chemosensory research, such as neural processing, downstream behaviours, and "in-silico" bioinformatics predictions of response profiles. The purity of standards is always implied but must be checked rigorously to prevent skewed or invalid results or conclusions, such as we exemplify here for Drosophila melanogaster and its olfactory receptor DmOr7a.

Should heart rate variability be "corrected" for heart rate? Biological, quantitative, and interpretive considerations.

Metrics of heart period variability are widely used in the behavioral and biomedical sciences, although somewhat confusingly labeled as heart rate variability (HRV). Despite their wide use, HRV metrics are usually analyzed and interpreted without reference to prevailing levels of cardiac chronotropic state (i.e., mean heart rate or mean heart period). This isolated treatment of HRV metrics is nontrivial. All HRV metrics routinely used in the literature exhibit a known and positive relationship with the mean duration of the interval between two beats (heart period): as the heart period increases, so does its variability. This raises the question of whether HRV metrics should be "corrected" for the mean heart period (or its inverse, the heart rate). Here, we outline biological, quantitative, and interpretive issues engendered by this question. We provide arguments that HRV is neither uniformly nor simply a surrogate for heart period. We also identify knowledge gaps that remain to be satisfactorily addressed with respect to assumptions underlying existing HRV correction approaches. In doing so, we aim to stimulate further progress toward the rigorous use and disciplined interpretation of HRV. We close with provisional guidance on HRV reporting that acknowledges the complex interplay between the mean and variability of the heart period.

Practice guidelines for the supervising professional: intraoperative neurophysiological monitoring.

The American Society of Neurophysiological Monitoring (ASNM) was founded in 1989 as the American Society of Evoked Potential Monitoring. From the beginning, the Society has been made up of physicians, doctoral degree holders, Technologists, and all those interested in furthering the profession. The Society changed its name to the ASNM and held its first Annual Meeting in 1990. It remains the largest worldwide organization dedicated solely to the scientifically-based advancement of intraoperative neurophysiology. The primary goal of the ASNM is to assure the quality of patient care during procedures monitoring the nervous system. This goal is accomplished primarily through programs in education, advocacy of basic and clinical research, and publication of guidelines, among other endeavors. The ASNM is committed to the development of medically sound and clinically relevant guidelines for the performance of intraoperative neurophysiology. Guidelines are formulated based on exhaustive literature review, recruitment of expert opinion, and broad consensus among ASNM membership. Input is likewise sought from sister societies and related constituencies. Adherence to a literature-based, formalized process characterizes the construction of all ASNM guidelines. The guidelines covering the Professional Practice of intraoperative neurophysiological monitoring were initially published January 24th, 2013, and subsequently that document has undergone review and revision to accommodate broad inter- and intra-societal feedback. This current version of the ASNM Professional Practice Guideline was fully approved for publication according to ASNM bylaws on February 22nd, 2018, and thus overwrites and supersedes the initial guideline.

Evaluation of a virtual neurophysiology laboratory as a new pedagogical tool for medical undergraduate students in China.

This study compared the effect of a virtual laboratory, a living tissue laboratory, and a blended laboratory on student learning about the generation and conduction of neural action potentials and perceptions about life science. Sixty-three second-year medical students were randomly assigned to one of three groups (living tissue laboratory, virtual laboratory, and blended group). The students conducted the practical activity, and then they were given a postlaboratory quiz and an attitude survey. The blended group euthanized fewer animals and spent less time to finish the animal experiment than the living tissue group did. In the postlaboratory quiz, students who performed the virtual laboratory alone got significantly lower scores than students in the other two groups, and the blended group did not get better scores than the living tissue group. The attitude surveys showed that the virtual laboratory group had a lower perceived value of the science research and activity in which they participated than the other two groups did. Here, 77.8% of all students chose the blended style as the ideal teaching method for experiments. Our findings led us to believe that isolated use of the virtual laboratory in China is not the best practice: the virtual laboratory serves as an effective preparation tool, and the blended laboratories may become the best laboratory teaching practice, provided that the software design for the virtual laboratory is further improved.

Filter-Based Phase Shifts Distort Neuronal Timing Information.

Filters are widely used for the modulation, typically attenuation, of amplitudes of different frequencies within neurophysiological signals. Filters, however, also induce changes in the phases of different frequencies whose amplitude is unmodulated. These phase shifts cause time lags in the filtered signals, leading to a disruption of the timing information between different frequencies within the same signal and between different signals. The emerging time lags can be either constant in the case of linear phase (LP) filters or vary as a function of the frequency in the more common case of non-LP (NLP) filters. Since filters are used ubiquitously online in the early stages of data acquisition, the vast majority of neurophysiological signals thus suffer from distortion of the timing information even prior to their sampling. This distortion is often exacerbated by further multiple offline filtering stages of the sampled signal. The distortion of timing information may cause misinterpretation of the results and lead to erroneous conclusions. Here we present a variety of typical examples of filter-induced phase distortions and discuss the evaluation and restoration of the timing information underlying the original signal.

Modeling sources of interlaboratory variability in electrophysiological properties of mammalian neurons.

Patch-clamp electrophysiology is widely used to characterize neuronal electrical phenotypes. However, there are no standard experimental conditions for in vitro whole cell patch-clamp electrophysiology, complicating direct comparisons between data sets. In this study, we sought to understand how basic experimental conditions differ among laboratories and how these differences might impact measurements of electrophysiological parameters. We curated the compositions of external bath solutions (artificial cerebrospinal fluid), internal pipette solutions, and other methodological details such as animal strain and age from 509 published neurophysiology articles studying rodent neurons. We found that very few articles used the exact same experimental solutions as any other, and some solution differences stem from recipe inheritance from advisor to advisee as well as changing trends over the years. Next, we used statistical models to understand how the use of different experimental conditions impacts downstream electrophysiological measurements such as resting potential and action potential width. Although these experimental condition features could explain up to 43% of the study-to-study variance in electrophysiological parameters, the majority of the variability was left unexplained. Our results suggest that there are likely additional experimental factors that contribute to cross-laboratory electrophysiological variability, and identifying and addressing these will be important to future efforts to assemble consensus descriptions of neurophysiological phenotypes for mammalian cell types. NEW & NOTEWORTHY This article describes how using different experimental methods during patch-clamp electrophysiology impacts downstream physiological measurements. We characterized how methodologies and experimental solutions differ across articles. We found that differences in methods can explain some, but not all, of the study-to-study variance in electrophysiological measurements. Explicitly accounting for methodological differences using statistical models can help correct downstream electrophysiological measurements for cross-laboratory methodology differences.

Interictal epileptiform discharge characteristics underlying expert interrater agreement.

OBJECTIVE: The presence of interictal epileptiform discharges (IED) in the electroencephalogram (EEG) is a key finding in the medical workup of a patient with suspected epilepsy. However, inter-rater agreement (IRA) regarding the presence of IED is imperfect, leading to incorrect and delayed diagnoses. An improved understanding of which IED attributes mediate expert IRA might help in developing automatic methods for IED detection able to emulate the abilities of experts. Therefore, using a set of IED scored by a large number of experts, we set out to determine which attributes of IED predict expert agreement regarding the presence of IED. METHODS: IED were annotated on a 5-point scale by 18 clinical neurophysiologists within 200 30-s EEG segments from recordings of 200 patients. 5538 signal analysis features were extracted from the waveforms, including wavelet coefficients, morphological features, signal energy, nonlinear energy operator response, electrode location, and spectrogram features. Feature selection was performed by applying elastic net regression and support vector regression (SVR) was applied to predict expert opinion, with and without the feature selection procedure and with and without several types of signal normalization. RESULTS: Multiple types of features were useful for predicting expert annotations, but particular types of wavelet features performed best. Local EEG normalization also enhanced best model performance. As the size of the group of EEGers used to train the models was increased, the performance of the models leveled off at a group size of around 11. CONCLUSIONS: The features that best predict inter-rater agreement among experts regarding the presence of IED are wavelet features, using locally standardized EEG. Our models for predicting expert opinion based on EEGer's scores perform best with a large group of EEGers (more than 10). SIGNIFICANCE: By examining a large group of EEG signal analysis features we found that wavelet features with certain wavelet basis functions performed best to identify IEDs. Local normalization also improves predictability, suggesting the importance of IED morphology over amplitude-based features. Although most IED detection studies in the past have used opinion from three or fewer experts, our study suggests a "wisdom of the crowd" effect, such that pooling over a larger number of expert opinions produces a better correlation between expert opinion and objectively quantifiable features of the EEG.

Hematoma retroperitoneal tras fusión lumbar intersomática mediante abordaje lateral transpsoas (XLIF): revisión de literatura a propósito de un caso / Retroperitoneal hematoma after using the extreme lateral interbody fusion (XLIF) approach: presentation of a case and a review of the literature

El abordaje lateral transpsoas a la columna lumbar es una técnica mínimamente invasiva cada vez más usada debido a sus buenos resultados y a su tasa de complicaciones baja. El sangrado de este tipo de cirugía es escaso ya que la disección de partes blandas es mínima comparada con la cirugía vertebral tradicional, pero las arterias segmentarias y los grandes vasos pueden ser lesionados. Hasta ahora, hay muy pocos casos descritos de hematoma retroperitoneal mediante este abordaje pero este es el primero en una fusión lumbar intersomática mediante abordaje lateral transpsoas (XLIF) sin instrumentación añadida y el primero con shock hemorrágico. Los síntomas del hematoma retroperitoneal son inespecíficos, siendo los más prevalentes la taquicardia, la hipotensión y la anemia. Con este caso pretendemos mostrar que, a pesar de los buenos resultados de esta técnica, no está exenta de complicaciones graves (AU)

The transpsoas approach, also known as extreme lateral interbody fusion (XLIF), to the lumbar spine is a novel minimally invasive technique with positive clinical outcomes and a low complication rate. There is a low risk of bleeding, due to this approach causing less soft tissue disruption than traditional spine surgery, but segmental arteries and great vessels can be damaged. Retroperitoneal haematoma is a major complication, with few cases reported. This is the first case reported in a Stand-alone XLIF and also the first case reported with haemorrhagic shock. Non-specific symptoms such tachycardia, hypotension, and anaemia are the most prevalent in this complication. With this case, our aim is to describe serious complications related to XLIF (AU)