TBI prognosis calculator: A mobile application to estimate mortality and morbidity following traumatic brain injury

A Review of Mortality Risk Prediction Models in Smartphone Applications

Healthcare professionals in healthcare systems need access to freely available, real-time, evidence-based mortality risk prediction smartphone applications to facilitate resource allocation. The objective of this study is to evaluate the quality of smartphone mobile health applications that include mortality prediction models, and corresponding information quality. We conducted a systematic review of commercially available smartphone applications in Google Play for Android, and iTunes for iOS smartphone applications. We performed initial screening, data extraction, and rated smartphone application quality using the Mobile Application Rating Scale: user version (uMARS). The information quality of smartphone applications was evaluated using two patient vignettes, representing low and high risk of mortality, based on critical care data from the Medical Information Mart for Intensive Care (MIMIC) III database. Out of 3051 evaluated smartphone applications, 33 met our final inclusion criteria. We identified 21 discrete mortality risk prediction models in smartphone applications. The most common mortality predicting models were Sequential Organ Failure Assessment (SOFA) (n = 15) and Acute Physiology and Clinical Health Assessment II (n = 13). The smartphone applications with the highest quality uMARS scores were Observation—NEWS 2 (4.64) for iOS smartphones, and MDCalc Medical Calculator (4.75) for Android smartphones. All SOFA-based smartphone applications provided consistent information quality with the original SOFA model for both the low and high-risk patient vignettes. We identified freely available, high-quality mortality risk prediction smartphone applications that can be used by healthcare professionals to make evidence-based decisions in critical care environments.

Cerebrospinal Fluid Cultures in Traumatic Brain Injury: Is It Worth It? A Two-Center Study

Background: Patients with traumatic brain injury (TBI) frequently develop leukocytosis, fever, and tachycardia that may lead to extensive medical investigations to rule out an infectious process. Cerebrospinal fluid (CSF) is often acquired during this workup, however, the utility of this practice has not been studied previously. We hypothesized that CSF cultures would unlikely yield positive results in patients with TBI. Patients and Methods: A retrospective review was conducted of all patients with TBI admitted to two level 1 trauma centers at urban, academic institutions from January 2009 to December 2016. Data collected included patient demographics, presenting Glasgow Coma Score (GCS), injury profile, injury severity scores (ISS), regional abbreviated injury scale (AIS), hospital and intensive care unit (ICU) length of stay (LOS), ventilator days, and culture results. For purposes of the analysis, CSF cultures with Staphylococcus epidermidis, Staphylococcus aureus, or Candida underwent a chart review and were considered contaminates if indicated. Results: There were 145 patients who had CSF cultures obtained with a median age of 39 years; 77.2% were male. The majority of patients presented after blunt trauma with median GCS of 6, head AIS of 4, and ISS of 25. These patients had prolonged median ICU and hospital stays at 13 and 22 days, respectively. Six (4.1%) CSF cultures demonstrated growth. Four (2.8%) were deemed contaminants, with two growing Staphylococcus epidermidis only, one with both Staphylococcus epidermidis and Staphylococcus aureus, and one with Candida. Two cultures (1.4%) were positive and grew Enterobacter cloacae. Of note, both patients had prior instrumentation with an external ventricular drain. Conclusion: Obtaining CSF cultures in patients with TBI is of low yield, especially in patients without prior external ventricular drain. Other sources of infectious etiologies should be considered in this patient population.

Mobile Applications in Neurosurgery: A Systematic Review, Quality Audit, and Survey of Canadian Neurosurgery Residents

BACKGROUND

In the past decade, smartphone applications (Apps) have experienced remarkable development across all fields of medicine, including neurosurgery. However, owing to a lack of regulatory oversight and peer review, a clear need exists for a comprehensive review and audit of the existing available Apps. In the present study, we systematically reviewed the existing mobile Apps in neurosurgery, evaluated their clinical use by neurosurgery residents in Canada, and performed a quality audit of the most popular Apps.

METHODS

Indexed Apps were identified from either the Google Play Store or the iOS App Store using a comprehensive list of keywords related to neurosurgery. A subsequent cross-sectional survey of 76 Canadian neurosurgery residents was conducted, including a section on smartphone App use. We next evaluated the most popular Apps among the residents using the Healthcare Smartphone App Evaluation Tool and performed a quality audit of their content using established medical references.

RESULTS

The survey identified 118 mobile Apps related to neurosurgery. The 3 most used Apps used by the current cohort of Canadian neurosurgery residents were Neurosurgery Survival Guide, Neuromind, and the Journal of Neurosurgery App. Each of these 3 Apps received an excellent score on the Healthcare Smartphone App Evaluation Tool. A quality audit of 30 pages of the Neurosurgery Survival Guide and 40 clinical scores of the Neuromind App, performed by 10 neurosurgery residents, failed to reveal inaccurate or false statements.

CONCLUSION

The present study has highlighted the current landscape of neurosurgery mobile Apps and their use among neurosurgery residents.

Microarray Expression Profile of lncRNAs and mRNAs in Rats with Traumatic Brain Injury after A2B5+ Cell Transplantation

Traumatic brain injury (TBI) may cause neurological damage, but an effective therapy and the associated mechanisms of action have not yet been elucidated. A TBI model was established using the modified Feeney method. A2B5+ cells, an oligodendroglial progenitor, were acquired from induced pluripotent stem cells (iPSCs) by mouse embryonic fibroblasts and were transplanted into the injured site. The neurological severity score (NSS) was recorded on 3 d, 7 d, 11 d, 15 d, and 19 d. Seven days after transplantation, oligodendrocytes 2 (Olig2) and myelin basic protein (MBP) were detected by immunohistochemistry (IHC) and Western blot (WB), and long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) were screened by microarray technology. Moreover, we took an intersection of the differentially expressed lncRNAs or mRNAs and scanned 10 kb upstream and downstream of the common lncRNAs. Meanwhile, Gene Ontology (GO) and pathway analysis on mRNAs was performed in the A2B5+ iPSC group. A2B5+ iPSCs survived and migrated around the injury site and differentiated into oligodendrocytes. Meanwhile, the increase in Olig2 and MBP were higher in A2B5+ cell-engrafted rats than that in TBI rats. However, the NSSs in the A2B5+ iPSC group were lower than that in the TBI group. Between the TBI and sham groups, 270 lncRNAs and 1,052 mRNAs were differently expressed (P < 0.05, fold change (FC) > 2), while between the A2B5+ iPSC and TBI groups, 83 lncRNAs and 360 mRNAs were differently expressed (P < 0.05, FC > 2). Meanwhile, 37 lncRNAs and 195 mRNAs were simultaneously changed in the 2 parts. Using bioinformatic analysis, we found the crucial lncRNA and mRNA were ENSRNOT00000052577 and Kif2c in the TBI brain with cell transplantation. This study demonstrated that A2B5+ iPSC grafts effectively improved neurological function, and the mechanism of action was associated with lncRNA and mRNA expression. Therefore, A2B5+ iPSC transplantation could be considered as a new method for the treatment of TBI, and ENSRNOT00000052577 and Kif2c may be new molecular targets or markers for functional improvement.

Artificial neural network predicts hemorrhagic contusions following decompressive craniotomy in traumatic brain injury

BACKGROUND

This study aimed to explore relevant factors of hemorrhagic contusions following decompressive craniotomy (DC) in traumatic brain injury (TBI) and create an artificial neural network (ANN) prediction model of the risk factors of hemorrhagic contusions.

METHODS

This study analyzed 425 patients with TBI who underwent DC in the Neurosurgery Department of Shaoxing People's Hospital between 2009 and 2014. Patients were divided into two groups according to the first postoperative CT scans: hemorrhage group and non-hemorrhage group. Gender, age, preoperative situations (Initial Rotterdam CT Score, GCS Score, pupillary response, laboratory data and preoperative hematoma), the time gap between trauma and DC, postoperative CT scans, and Glasgow Outcome Scale (GOS) scores were recorded. ANN was used to predict hematoma. Correlation analysis was used to state the relationship between increased hemorrhage volumes and GOS scores.

RESULTS

The ANN prediction model was established. This model included 11 parameters: initial Rotterdam CT score, GCS score, C-reactive protein, age, the time gap between trauma and DC, pupillary response, platelet count, bone-flap size, glucose level, hernia magnitude and preoperative hematoma volume. The overall predictive accuracy of the model was 73.0%.

CONCLUSIONS

Initial Rotterdam CT scores and GCS scores may predict the risk of expansion contusions following DC. The ANN prediction model has a high accuracy to forecast hemorrhage.

The aggressiveness of neurotrauma practitioners and the influence of the IMPACT prognostic calculator

Published guidelines have helped to standardize the care of patients with traumatic brain injury; however, there remains substantial variation in the decision to pursue or withhold aggressive care. The International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) prognostic calculator offers the opportunity to study and decrease variability in physician aggressiveness. The authors wish to understand how IMPACT’s prognostic calculations currently influence patient care and to better understand physician aggressiveness. The authors conducted an anonymous international, multidisciplinary survey of practitioners who provide care to patients with traumatic brain injury. Questions were designed to determine current use rates of the IMPACT prognostic calculator and thresholds of age and risk for death or poor outcome that might cause practitioners to consider withholding aggressive care. Correlations between physician aggressiveness, putative predictors of aggressiveness, and demographics were examined. One hundred fifty-four responses were received, half of which were from physicians who were familiar with the IMPACT calculator. The most frequent use of the calculator was to improve communication with patients and their families. On average, respondents indicated that in patients older than 76 years or those with a >85% chance of death or poor outcome it might be reasonable to pursue non-aggressive care. These thresholds were robust and were not influenced by provider or institutional characteristics. This study demonstrates the need to educate physicians about the IMPACT prognostic calculator. The consensus values for age and prognosis identified in our study may be explored in future studies aimed at reducing variability in physician aggressiveness and should not serve as a basis for withdrawing care.