Clinical predictors of therapeutic failure of occipital nerve stimulation in refractory chronic cluster headache.

BACKGROUND: Occipital nerve stimulation (ONS) is a treatment with evidence in refractory chronic cluster headache (CCH). However, the variable response rate and cost make it necessary to investigate predictors of response. METHODS: This is a cross-sectional study conducted through the review of medical records of CCH patients from six hospitals in Madrid. Epidemiological and clinical variables were compared between patients with ONS failure and the rest. ONS failure was defined as the need for device withdrawal or switch off because of lack of response or adverse events. RESULTS: From a series of 88 CCH, 26 (29.6%) underwent ONS surgery, of whom 13/26 (50.0%) failed because lack of response. ONS failure group had an earlier headache onset (mean ± SD) of 27.7 ± 6.9 vs. 36.7 ± 11.8 years, p = 0.026) and a higher smoking rate (100% vs. 42.9%, p = 0.006). Stational fluctuations (58.3% vs. 7.7%, p = 0.007) and nocturnal exacerbations (91.7% vs. 53.9%, p = 0.035) were more frequent in the ONS failure group as well. There was no difference between groups in diagnostic delay, years of evolution prior to surgery, mental illness, comorbidity with other headache disorders or chronic pain conditions or prior response to occipital nerves anesthetic blocks. CONCLUSIONS: Some clinical features such as an early debut, smoking and seasonal or circadian fluctuations could be related to failure of ONS in refractory CCH.

Sensitivity of the SNNOOP10 list in the high-risk secondary headache detection.

AIM: To evaluate the diagnostic accuracy of the SNNOOP10 list in the detection of high-risk headaches. METHODS: Patients that visited the Hospital Clínico San Carlos (Madrid) emergency department due to headache that were allocated to a Manchester Triage System level between critical and urgent were prospectively included but retrospectively analysed. A researcher blind to the patients' diagnosis administered a standardised questionnaire and afterwards a neurologist blind to the questionnaire results diagnosed the patient according to the International Classification of Headache Disorders. The primary endpoint was to assess the sensitivity of the SNNOOP10 list in the detection of high-risk headaches. Secondary endpoints included the evaluation of the sensitivity, specificity, positive predictive value, negative predictive value and area under the curve of each SNNOOP10 item. RESULTS: Between April 2015 and October 2021, 100 patients were included. Patients were 44 years old (inter-quartile range: 33.6-64.7) and 57% were female. We identified 37 different diagnoses. Final diagnosis was a primary headache in 33%, secondary headache in 65% and cranial neuralgia in 2%. There were 46 patients that were considered as having high-risk headache. Patients from the primary headache group were younger and more frequently female. Sensitivity of SNNOOP10 list was 100% (95% confidence interval: 90.2%-100%). The items with higher sensitivity were neurologic deficit or disfunction (75.5%), pattern change or recent onset of the headache (64.4%), onset after 50 years (64.4%). The most specific items were posttraumatic onset of headache (94.5%), neoplasm in history (89.1%) and systemic symptoms (89%). The area under the curve of the SNNOOP10 list was 0.66 (95% CI: 0.55-0.76). CONCLUSION: The red flags from the SNNOOP10 list showed a 100% sensitivity in the detection of high-risk headache disorders.

COVID-19 anosmia and gustatory symptoms as a prognosis factor: a subanalysis of the HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry.

Olfactory and gustatory dysfunctions (OGD) are a frequent symptom of coronavirus disease 2019 (COVID-19). It has been proposed that the neuroinvasive potential of the novel SARS-CoV-2 could be due to olfactory bulb invasion, conversely studies suggest it could be a good prognostic factor. The aim of the current study was to investigate the prognosis value of OGD in COVID-19. These symptoms were recorded on admission from a cohort study of 5868 patients with confirmed or highly suspected COVID-19 infection included in the multicenter international HOPE Registry (NCT04334291). There was statistical relation in multivariate analysis for OGD in gender, more frequent in female 12.41% vs 8.67% in male, related to age, more frequent under 65 years, presence of hypertension, dyslipidemia, diabetes, smoke, renal insufficiency, lung, heart, cancer and neurological disease. We did not find statistical differences in pregnant (p = 0.505), patient suffering cognitive (p = 0.484), liver (p = 0.1) or immune disease (p = 0.32). There was inverse relation (protective) between OGD and prone positioning (0.005) and death (< 0.0001), but no with ICU (0.165) or mechanical ventilation (0.292). On univariable logistic regression, OGD was found to be inversely related to death in COVID-19 patients. The odds ratio was 0.26 (0.15-0.44) (p < 0.001) and Z was - 5.05. The presence of anosmia is fundamental in the diagnosis of SARS.CoV-2 infection, but also could be important in classifying patients and in therapeutic decisions. Even more knowing that it is an early symptom of the disease. Knowing that other situations as being Afro-American or Latino-American, hypertension, renal insufficiency, or increase of C-reactive protein (CRP) imply a worse prognosis we can make a clinical score to estimate the vital prognosis of the patient. The exact pathogenesis of SARS-CoV-2 that causes olfactory and gustative disorders remains unknown but seems related to the prognosis. This point is fundamental, insomuch as could be a plausible way to find a treatment.

Searching for Saddle Points by Using the Nudged Elastic Band Method: An Implementation for Gas-Phase Systems.

A new implementation of the Nudged Elastic Band (NEB) optimization method is presented. This approach uses a global procedure that yields the whole reaction path, and thus it provides an alternative to the sequential optimization of the transition state and consequent calculation of the minimum energy path. Furthermore the algorithm is very useful when one is not sure if a saddle point exists, because it can be used to eliminate the possibility of a saddle point when one does not exist. Three different versions of the NEB algorithm have been implemented. The influences of various parameters and methodological choices on the performance of the method have been studied, and the quality of the results is assessed by comparison with the saddle point and minimum energy path calculations sequential method. Recommendations are made for algorithmic choices and default parameters.