Gait analysis in the postoperative assessment of intertrochanteric femur fractures

: Proximal femur fractures (PFFs) are an increasing public health concern. Improving gait and mobility after surgical fixation of intertrochanteric femur fractures (IFFs) is the most important target of research efforts. The purpose of this study is to investigate the role of gait analysis in the functional assessment of over-65 patients with stable and unstable IFFs, at a minimum 6-month follow-up. Fourteen patient's over-65 with IFFs (AO/OTA 31-A) treated with intramedullary nailing (EBA-2, Citieffe Srl, Italy) were enrolled. The patients were divided into two groups according to the fracture stable or unstable pattern, according to AO/OTA classification. At follow-up appointments, clinical outcomes [Harris Hip Score (HHS)], Western Ontario and McMaster University (WOMAC) and gait parameters were assessed. Radiographs were analyzed at the time of surgery and at each follow-up visit. At 3-month follow-up, both groups showed a significantly different gait patterns, compared with control subjects. At 6-month follow-up, a significant improvement of both mean HHS score (p=0.43) and mean WOMAC score was observed (p=0.43) within groups. Nonetheless, patients with stable fractures showed a comparable gait pattern, compared with control subjects, while patients with unstable fractures still presented a worse gait pattern, compared with control subjects. Therefore, in presence of an unstable IFF, a more aggressive rehabilitative program is needed. The data provided by postoperative gait analysis, therefore, could be useful to customize the patients' rehabilitative protocol, to quickly improve their walking ability and autonomy, thus reducing the post-operative re-fall risks

Clinical Presentation and Outcomes of Severe Acute Respiratory Syndrome Coronavirus 2-Related Encephalitis: The ENCOVID Multicenter Study

Background: Several preclinical and clinical investigations have argued for nervous system involvement in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Some sparse case reports have described various forms of encephalitis in coronavirus disease 2019 (COVID-19) disease, but very few data have focused on clinical presentations, clinical course, response to treatment, and outcomes. Methods: The SARS-CoV-2 related encephalopaties (ENCOVID) multicenter study included patients with encephalitis with full infectious screening, cerebrospinal fluid (CSF), electroencephalography (EEG), and magnetic resonance imaging (MRI) data and confirmed SARS-CoV-2 infection recruited from 13 centers in northern Italy. Clinical presentation and laboratory markers, severity of COVID-19 disease, response to treatment, and outcomes were recorded. Results: Twenty-five cases of encephalitis positive for SARS-CoV-2 infection were included. CSF showed hyperproteinorrachia and/or pleocytosis in 68% of cases whereas SARS-CoV-2 RNA by reverse-transcription polymerase chain reaction resulted negative. Based on MRI, cases were classified as acute demyelinating encephalomyelitis (ADEM; n = 3), limbic encephalitis (LE; n = 2), encephalitis with normal imaging (n = 13), and encephalitis with MRI alterations (n = 7). ADEM and LE cases showed a delayed onset compared to the other encephalitis cases (P = .001) and were associated with previous, more severe COVID-19 respiratory involvement. Patients with MRI alterations exhibited worse response to treatment and final outcomes compared to those with other encephalitis. Conclusions: SARS-CoV-2 infection is associated with a wide spectrum of encephalitis characterized by different clinical presentation, response to treatment, and outcomes

SARS-CoV-2 infection and acute ischemic stroke in Lombardy, Italy

Objective: To characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients. Methods: In the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19. Results: Among 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male sex (OR 1.53; 95% CI 1.06\u20132.27) and atrial fibrillation (OR 1.60; 95% CI 1.05\u20132.43) were independently associated with COVID-19 status. Patients with COVID-19 had increased stroke severity at admission [median NIHSS score, 9 (25th to75th percentile, 13) vs 6 (25th to75th percentile, 9)] and increased risk of in-hospital death (38.1% deaths vs 7.2%; HR 3.30; 95% CI 2.17\u20135.02). The RF model based on six clinical and laboratory parameters exhibited high cross-validated classification accuracy (0.86) and precision (0.87), good recall (0.72) and F1-score (0.79) in predicting in-hospital death. Conclusions: Ischemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase

Impact of SARS-CoV-2 on reperfusion therapies for acute ischemic stroke in Lombardy, Italy: the STROKOVID network

Whether and how SARS-CoV-2 outbreak affected in-hospital acute stroke care system is still matter of debate. In the setting of the STROKOVID network, a collaborative project between the ten centers designed as hubs for the treatment of acute stroke during SARS-CoV-2 outbreak in Lombardy, Italy, we retrospectively compared clinical features and process measures of patients with confirmed infection (COVID-19) and non-infected patients (non-COVID-19) who underwent reperfusion therapies for acute ischemic stroke. Between March 8 and April 30, 2020, 296 consecutive patients [median age, 74 years (interquartile range (IQR), 62\u201380.75); males, 154 (52.0%); 34 (11.5%) COVID-19] qualified for the analysis. Time from symptoms onset to treatment was longer in the COVID-19 group [230 (IQR 200.5\u2013270) minutes vs. 190 (IQR 150\u2013245) minutes; p = 0.007], especially in the first half of the study period. Patients with COVID-19 who underwent endovascular thrombectomy had more frequently absent collaterals or collaterals filling 64 50% of the occluded territory (50.0% vs. 16.6%; OR 5.05; 95% CI 1.82\u201313.80) and a lower rate of good/complete recanalization of the primary arterial occlusive lesion (55.6% vs. 81.0%; OR 0.29; 95% CI 0.10\u20130.80). Post-procedural intracranial hemorrhages were more frequent (35.3% vs. 19.5%; OR 2.24; 95% CI 1.04\u20134.83) and outcome was worse among COVID-19 patients (in-hospital death, 38.2% vs. 8.8%; OR 6.43; 95% CI 2.85\u201314.50). Our findings showed longer delays in the intra-hospital management of acute ischemic stroke in COVID-19 patients, especially in the early phase of the outbreak, that likely impacted patients outcome and should be the target of future interventions