First neurological symptoms in degenerative cervical myelopathy: does it predict the outcome?

PURPOSE: Degenerative cervical myelopathy (DCM) is the most common non-traumatic cause of spinal cord dysfunction. Prediction of the neurological outcome after surgery is important. The aim of this study was to analyze the relationship between first symptoms of DCM and the neurological outcome after surgery. METHODS: A retrospective analysis over a period of 10 years was performed. First symptoms such as cervicobrachial neuralgia, sensory and motor deficits and gait disturbances were evaluated regarding the postoperative neurological outcome. The modified Japanese Orthopedic Association Score (mJOA Score) was used to evaluate neurological outcome. RESULTS: In total, 411 patients (263 males, 64%) with a median age of 62.6 ± 12.1 years were included. Cervicobrachial neuralgia was described in 40.2%, gait disturbance in 31.6%, sensory deficits in 19% and motor deficits in 9.2% as first symptom. Patients with cervicobrachial neuralgia were significantly younger (median age of 58 years, p = 0.0005) than patients with gait disturbances (median age of 68 years, p = 0.0005). Patients with gait disturbances and motor deficits as first symptom showed significantly lower mJOA Scores than other patients (p = 0.0005). Additionally, motor deficits and gait disturbance were negative predictors for postoperative outcome according to the mJOA Score. CONCLUSION: Motor deficits and gait disturbances as the first symptom of DCM are negative predictors for postoperative neurological outcome. Nevertheless, patients with motor deficits and gait disturbance significantly profit from the surgical treatment despite poor preoperative mJOA Score.

The Subarachnoid Hemorrhage-Weather Myth: A Long-Term Big Data and Deep Learning Analysis.

Objective: The frequency of aneurysmal subarachnoid hemorrhage (aSAH) presents complex fluctuations that have been attributed to weather and climate changes in the past. In the present long-term big data and deep learning analysis, we have addressed this long-held myth. Methods: Bleeding dates and basic demographic data for all consecutive patients (n = 1,271) admitted to our vascular center for treatment of aSAH between January 2003 and May 2020 (6,334 days) were collected from our continuously maintained database. The meteorological data of the local weather station, including 13 different weather and climate parameters, were retrieved from Germany's National Meteorological Service for the same period. Six different deep learning models were programmed using the Keras framework and were trained for aSAH event prediction with meteorological data from January 2003 to June 2017, with 10% of this dataset applied for data validation and model improvement. The dataset from July 2017 to May 2020 was tested for aSAH event prediction accuracy for all six models using the area under the receiver operating characteristic curve (AUROC) as the metric. Results: The study group comprised of 422 (33.2%) male and 849 (66.8%) female patients with an average age of 55 ± 14 years. None of the models showed an AUROC larger than 60.2. From the presented data, the influence of weather and climate on the occurrence of aSAH events is extremely unlikely. Conclusion: The myth of special weather conditions influencing the frequency of aSAH is disenchanted by this long-term big data and deep learning analysis.

Analysis of Brain Natriuretic Peptide Serum Levels in Patients with Symptomatic Chronic Subdural Hematoma: A Potential Reliable Biomarker.

The purpose of this study was to analyze brain natriuretic peptide (BNP) serum levels of patients with chronic subdural hematoma (cSDH) and their clinical implication. Patients with cSDH who underwent surgery in our department between November 2016 and October 2019 were eligible for enrollment in the study. Patients with recurrent bleedings, traumatic brain injury, cSDH associated with other intracranial pathologies, and those with a history of congestive heart failure, renal or endocrine disease were excluded. We measured BNP serum levels pre- and post-operatively and at discharge. The BNP values were analyzed with respect to patient medical history and neurological condition. The Glasgow Coma Scale score and the modified Rankin Scale score classified the clinical and neurological condition at the time of admission and discharge, respectively. The data of 100 surgically treated patients with cSDH (mean age 73.2, range 42 - 94 years, male/female 3.5:1) were analyzed. Pre-operative BNP serum levels (BNP-1) were elevated in 67% of the patients (n = 67; median = 101.6 pg/mL; p < 0.001). These serum levels increased after surgery (p < 0.001) and decreased thereafter (p < 0.001), reaching a level at discharge (day 7) that was not statistically different from BNP-1 (p > 0.05). In addition, elevated BNP-1 showed a significant statistical association with the presence of atrial fibrillation (p < 0.01) and antiplatelet and/or anticoagulant therapy (p < 0.01). This study provides new evidence regarding BNP serum levels and their secretion pattern in patients with cSDH. Whether BNP-1 can predict the long-term functional outcome of patients with cSDH is being investigated in this ongoing prospective study.