Pre-Hospital and Post-Hospital Quality of Care in Traumatic Spinal Column and Cord Injuries in Iran.

STUDY DESIGN: A retrospective study. OBJECTIVES: The quality of care (QoC) for spinal column/cord injury patients is a major health care concern. This study aimed to implement the QoC assessment tool (QoCAT) in the National Spinal Cord/Column Injury Registry of Iran (NSCIR-IR) to define the current state of pre- and post-hospital QoC of individuals with Traumatic Spinal Column and Spinal Cord Injuries (TSC/SCIs). METHODS: The QoCAT, previously developed by our team to measure the QoC in patients with TSC/SCIs, was implemented in the NSCIR-IR. The pre-hospital QoC was evaluated through a retrospective analysis of NSCIR-IR registry data. Telephone interviews and follow-ups of patients with SCI evaluated the QoC in the post-hospital phase. RESULTS: In the pre-hospital phase, cervical collars and immobilization were implemented in 46.4% and 48.5% of the cases, respectively. Transport time from the scene to the hospital was documented as <1 hour and <8 hours in 33.4% and 93.9% of the patients, respectively. Post-hospital indicators in patients with SCI revealed a first-year mortality rate of 12.5% (20/160), a high incidence of secondary complications, reduced access to electrical wheelchairs (4.2%) and modified cars (7.7%), and low employment rate (21.4%). CONCLUSION: These findings revealed a significant delay in transport time to the first care facilities, low use of immobilization equipment indicating low pre-hospital QoC. Further, the high incidence of secondary complications, low employment rate, and low access to electrical wheelchairs and modified cars indicate lower post-hospital QoC in patients with SCI. These findings imply the need for further planning to improve the QoC for patients with TSC/SCIs.

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.

Glioblastoma cancer stem cell biology: Potential theranostic targets.

Glioblastoma multiforme (GBM) is among the most incurable cancers. GBMs survival rate has not markedly improved, despite new radical surgery protocols, the introduction of new anticancer drugs, new treatment protocols, and advances in radiation techniques. The low efficacy of therapy, and short interval between remission and recurrence, could be attributed to the resistance of a small fraction of tumorigenic cells to treatment. The existence and importance of cancer stem cells (CSCs) is perceived by some as controversial. Experimental evidences suggest that the presence of therapy-resistant glioblastoma stem cells (GSCs) could explain tumor recurrence and metastasis. Some scientists, including most of the authors of this review, believe that GSCs are the driving force behind GBM relapses, whereas others however, question the existence of GSCs. Evidence has accumulated indicating that non-tumorigenic cancer cells with high heterogeneity, could undergo reprogramming and become GSCs. Hence, targeting GSCs as the "root cells" initiating malignancy has been proposed to eradicate this devastating disease. Most standard treatments fail to completely eradicate GSCs, which can then cause the recurrence of the disease. To effectively target GSCs, a comprehensive understanding of the biology of GSCs as well as the mechanisms by which these cells survive during treatment and develop into new tumor, is urgently needed. Herein, we provide an overview of the molecular features of GSCs, and elaborate how to facilitate their detection and efficient targeting for therapeutic interventions. We also discuss GBM classifications based on the molecular stem cell subtypes with a focus on potential therapeutic approaches.

The Prognostic Value of Rotterdam Computed Tomography Score in Predicting Early Outcomes Among Children with Traumatic Brain Injury.

BACKGROUND: Prediction of traumatic brain injury (TBI) among children is of great importance for accurate clinical decision making. OBJECTIVES: This study aimed to determine the prognostic value of the Rotterdam scoring system in predicting early outcome among children with TBI. METHODS: This study was conducted in 2017 on 506 children with brain injury in Kashan, Iran. A checklist was used to collect demographic and clinical characteristics of patients such as age, sex, mechanism of trauma, Glasgow Coma Scale (GCS) score, need for surgery, and brain injury outcome. Moreover, each participant's computed tomography scan was evaluated and scored using the Rotterdam system. Sensitivity, specificity, positive and negative predictive values, and the best cut-off score were calculated for the Rotterdam system. The relationships of the Rotterdam score with participants' characteristics were examined using the χ2 test, whereas the predictors of brain injury outcome were identified using the logistic regression analysis. RESULTS: Pediatric death rate was 4.3%. Most deaths were among children who were male, aged <4, had developed brain injury owing to traffic accidents, had a GCS score of 3-8, suffered from compressed skull fracture and frontal lobe injury, had cerebral edema, and had a Rotterdam score of 5. The sensitivity and specificity of a Rotterdam score 3 were 86.4% and 97.9%, respectively. The logistic regression analysis indicated that only GCS and Rotterdam scores were significant predictors of brain injury outcome. CONCLUSIONS: At a cut-off score of 3, the Rotterdam system can be used to predict TBI outcome among children with acceptable sensitivity and specificity.

Frequency and predictors of courses repetition, probation, and delayed graduation in kashan faculty of nursing and midwifery.

BACKGROUND: Course failing and delayed graduation are important concerns in educational systems. The reasons of these educational failures need to be clarified. OBJECTIVES: This study was designed to determine the academic failure rate and its predictors in Nursing and Midwifery Students in Kashan University of Medical Sciences. MATERIALS AND METHODS: In this cross-sectional study, the records of all the students graduated in Nursing and Midwifery faculty during 18 years (1986 - 2003) were evaluated (1174 graduates). The demographic variables and the educational situation were recorded. The frequency of course repetition, probation, and delayed graduation were determined and the data were analyzed using the chi-square and logistic regression tests. RESULTS: The frequency of course repetition, probation, and delayed graduation was reported to be 19.25%, 3.9% and 19.85%, respectively. Gaining Low grade in high school, transferring from other universities, having special quota, and transferring temporarily to other universities were mentioned as the risk factors of academic failure. The major had a significant relationship with academic failure. Day time students had more course failure and night time students stayed longer in the university. CONCLUSIONS: The individual characteristics, educational background and admission criteria had showed relation with academic failure. Vulnerable students should be identified and educational supports should be provided for these students.