Adopting and adapting clinical practice guidelines for timing of decompressive surgery in acute spinal cord injury from a developed world context to a developing region.

PURPOSE: The proper application of high-quality clinical practice guidelines improves trauma patients' care and outcomes. This study aimed to adopt and adapt guidelines on the timing of decompressive surgery in acute spinal cord injury (SCI) in Iranian clinical settings. METHODS: This study followed a systematic search and review of the literature to enter them into the selection process. The source guidelines' clinical suggestions were converted into clinical scenarios for clinical questions on the timing of decompressive surgery. After summarizing the scenarios, we prepared an initial list of recommendations based on the status of the Iranian patients and the health system. The ultimate conclusion was reached with the help of a national interdisciplinary expert panel comprising 20 experts throughout the country. RESULTS: A total of 408 records were identified. After title and abstract screening, 401 records were excluded, and the full texts of the remaining seven records were reviewed. Based on our screening process, only one guideline included recommendations on the topic of interest. All of the recommendations were accepted by the expert panel with slight changes due to resource availability in Iran. The final two recommendations were the consideration of early surgery (≤24 h) as a treatment option in adult patients with traumatic central cord syndrome and in adult patients with acute SCI regardless of the level of injury. CONCLUSION: Considering early surgery for adult patients with acute traumatic SCI regardless of the level of injury was the final recommendation for Iran. Although most of the recommendations are adoptable in developing countries, issues with infrastructure and availability of resources are the limitations.

The impact of data quality assurance and control solutions on the completeness, accuracy, and consistency of data in a national spinal cord injury registry of Iran (NSCIR-IR).

STUDY DESIGN: Descriptive study. OBJECTIVE: This study aimed to develop and evaluate a systematic arrangement for improvement and monitoring of data quality of the National Spinal Cord (and Column) Injury Registry of Iran (NSCIR-IR)-a multicenter hospital-based registry. SETTING: SCI community in Iran. METHODS: Quality assurance and quality control were the primary objectives in improving overall quality of data that were considered in designing a paper-based and computerized case report. To prevent incorrect data entry, we implemented several validation algorithms, including 70 semantic rules, 18 syntactic rules, seven temporal rules, and 13 rules for acceptable value range. Qualified and trained staff members were also employed to review and identify any defect, inaccuracy, or inconsistency in the data to improve data quality. A set of functions were implemented in the software to cross-validate, and feedback on data was provided by reviewers and registrars. RESULTS: Socio-demographic data items were 100% complete, except for national ID and education level, which were 97% and 92.3% complete, respectively. Completeness of admission data and emergency medical services data were 100% except for arrival and transfer time (99.4%) and oxygen saturation (48.9%). Evaluation of data received from two centers located in Tehran proved to be 100% accurate following validation by quality reviewers. All data was also found to be 100% consistent. CONCLUSIONS: This approach to quality assurance and consistency validation proved to be effective. Our solutions resulted in a significant decrease in the number of missing data.

The data set development for the National Spinal Cord Injury Registry of Iran (NSCIR-IR): progress toward improving the quality of care.

STUDY DESIGN: Descriptive study. OBJECTIVES: The aim of this manuscript is to describe the development process of the data set for the National Spinal Cord Injury Registry of Iran (NSCIR-IR). SETTING: SCI community in Iran. METHODS: The NSCIR-IR data set was developed in 8 months, from March 2015 to October 2015. An expert panel of 14 members was formed. After a review of data sets of similar registries in developed countries, the selection and modification of the basic framework were performed over 16 meetings, based on the objectives and feasibility of the registry. RESULTS: The final version of the data set was composed of 376 data elements including sociodemographic, hospital admission, injury incidence, prehospital procedures, emergency department visit, medical history, vertebral injury, spinal cord injury details, interventions, complications, and discharge data. It also includes 163 components of the International Standards for the Neurologic Classification of Spinal Cord Injury (ISNCSCI) and 65 data elements related to quality of life, pressure ulcers, pain, and spasticity. CONCLUSION: The NSCIR-IR data set was developed in order to meet the quality improvement objectives of the registry. The process was centered around choosing the data elements assessing care provided to individuals in the acute and chronic phases of SCI in hospital settings. The International Spinal Cord Injury Data Set was selected as a basic framework, helped by comparison with data from other countries. Expert panel modifications facilitated the implementation of the registry process with the current clinical workflow in hospitals.

Effect of Physiological Noise on Thoracolumbar Spinal Cord Functional Magnetic Resonance Imaging in 3T Magnetic Field.

INTRODUCTION: Functional Magnetic Resonance Imaging (fMRI) methods have been used to study sensorimotor processing in the spinal cord. However, these techniques confront unwanted noises to the measured signal from the physiological fluctuations. In the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as significant sources of noise, especially in the thoracolumbar region. In this study, we investigated the effect of each source of physiological noise and their contribution to the outcome of the analysis of the blood-oxygen-level-dependent signal in the human thoracolumbar spinal cord. METHODS: Fifteen young healthy male volunteers participated in the study, and pain stimuli were delivered on the L5 dermatome between the two malleoli. Respiratory and cardiac signals were recorded during the imaging session, and the generated respiration and cardiac regressors were included in the general linear model for quantification of the effect of each of them on the task-analysis results. The sum of active voxels of the clusters was calculated in the spinal cord in three correction states (respiration correction only, cardiac correction only, and respiration and cardiac noise corrections) and analyzed with analysis of variance statistical test and receiver operating characteristic curve. RESULTS: The results illustrated that cardiac noise correction had an effective role in increasing the active voxels (Mean±SD = 23.46±9.46) compared to other noise correction methods. Cardiac effects were higher than other physiological noise sources. CONCLUSION: In summary, our results indicate great respiration effects on the lumbar and thoracolumbar spinal cord fMRI, and its contribution to the heartbeat effect can be a significant variable in the individual fMRI data analysis. Displacement of the spinal cord and the effects of this noise in the thoracolumbar and lumbar spinal cord fMRI results are significant and cannot be ignored.

Feasibility and Data Quality of the National Spinal Cord Injury Registry of Iran (NSCIR-IR): A Pilot Study.

BACKGROUND: Spinal cord injury (SCI) is one of the most disabling consequences of trauma with unparalleled economic, social, and personal burden. Any attempt aimed at improving quality of care should be based on comprehensive and reliable data. This pilot investigation studied the feasibility of implementing the National Spinal Cord and Column Injury Registry of Iran (NSCIR-IR) and scrutinized the quality of the registered data. METHODS: From October 2015 to May 2016, over an 8-month period, 65 eligible trauma patients who were admitted to hospitals in three academic centers in mainland Iran were included in this pilot study. Certified registered nurses and neurosurgeons were in charge of data collection, quality verification, and registration. RESULTS: Sixty-five patients with vertebral column fracture dislocations were registered in the study, of whom 14 (21.5%) patients had evidence of SCI. Mechanisms of injury included mechanical falls in 30 patients (46.2%) and motor vehicle accidents in 29 (44.6%). The case identification rate i.e. clinical and radiographic confirmation of spine and SCI, ranged from 10.0% to 88.9% in different registry centers. The completion rate of all data items was 100%, except for five data elements in patients who could not provide clinical information because of their medical status. Consistency i.e. identification of the same elements by all the registrars, was 100% and accuracy of identification of the same pathology ranged from 66.6% to 100%. CONCLUSIONS: Our pilot study showed both the feasibility and acceptable data quality of the NSCIR-IR. However, effective and successful implementation of NSCIR-IR data use requires some modifications such as presence of a dedicated registrar in each center, verification of data by a neurosurgeon, and continuous assessment of patients' neurological status and complications.