Correction to: Impact of smoking habit on adult-onset Still’s disease prognosis,findings from a multicentre observational study

Clinical Rheumatology -     

Searching for Preclinical Models of Acute Decompensated Heart Failure: a Concise Narrative Overview and a Novel Swine Model

Cardiovascular Drugs and Therapy - Available animal models of acute heart failure (AHF) and their limitations are discussed herein. A novel and preclinically relevant porcine model of decompensated...     

Drezotomía en el tratamiento del dolor por desaferentización: revisión de resultados y análisis de factores predictores de éxito

Background and objectivesThe treatment of deafferentation pain by spinal DREZotomy is a proven therapeutic option in the literature. In recent years, use of DREZotomy has been relegated to second place due to the emergence of neuromodulation therapies. The objectives of this study are to demonstrate that DREZotomy continues to be an effective and safe treatment and to analyse predictive factors for success.Patients and methodsA retrospective study was conducted of all patients treated in our department with spinal DREZotomy from 1998 to 2018. Bulbar DREZotomy procedures were excluded. A visual analogue scale (VAS) and the reduction of routine medication were used as outcome variables. Demographic, clinical and operative variables were analysed as predictive factors for success.ResultsA total of 27 patients (51.9% female) with a mean age of 53.7 years underwent DREZotomy. The main cause of pain was brachial plexus injury (BPI) (55.6%) followed by neoplasms (18.5%). The mean time of pain evolution was 8.4 years with a mean intensity of 8.7 according to the VAS, even though 63% of the patients had previously received neurostimulation therapy. Favourable outcome (≥ 50% pain reduction in the VAS) was observed in 77.8% of patients during the postoperative period and remained in 59.3% of patients after 22 months average follow-up (mean reduction of 4.9 points). This allowed for a reduction in routine analgesic treatment in 70.4% of them. DREZotomy in BPI-related pain presented a significantly higher success rate (93%) than the other pathologies (41.7%) (p = .001). No association was observed between outcome and age, gender, DREZ technique, duration of pain or previous neurostimulation therapies. There were six neurological complications, four post-operative transient neurological deficits and two permanent deficits.ConclusionDorsal root entry zone surgery is effective and safe for treating patients with deafferentation pain, especially after brachial plexus injury. It can be considered an alternative treatment after failed neurostimulation techniques for pain control. However, its indication should be considered as the first therapeutic option after medical therapy failure due to its good long-term results.     

Covid-19 Infection in Cancer Patients: The Management in a Diagnostic Unit

BackgroundCOVID-19 infection is particularly aggressive in frail patients, as cancer patients. Therefore, the more suitable management of the oncological patient requires a multidisciplinary assessment, to identify which patients should be treated, as inpatients or outpatients, and which treatments can be procrastinated.ConclusionsThe role of radiologist is crucial, and, all cancer patients who need an imaging evaluation will need to be studied, using the most appropriate imaging tools related to the clinical question and paying a special attention to preserve public health. Guidelines are necessary in the correct organization of a radiology unit to manage patients with suspected or confirmed COVID-19 infection, and whenever possible, a satellite radiography center with dedicated equipment should be used to decrease the transmission risk.Key words: COVID-19 infection, cancer patients, diagnostic unit, management, guideline     

Combined hepatic and portal vein embolization as preparation for major hepatectomy: a systematic review

BackgroundSome patients remain deemed unsuitable for resection after portal vein embolization (PVE) because of insufficient hypertrophy of the future remnant liver (FRL). Hepatic and portal vein embolization (HPVE) has been shown to induce hypertrophy of the FRL. The aim of this study was to provide a systematic review of the available literature on HPVE as preparation for major hepatectomy.MethodsThe literature search was performed on online databases. Studies including patients who underwent preoperative HPVE were retrieved for evaluation.ResultsSix articles including 68 patients were published between 2003 and 2017. HPVE was performed successfully in all patients with no mortality and morbidity-related procedures. The degree of hypertrophy of the FRL after HPVE ranged from 33% to 63.3%. Surgical resection after preoperative HPVE could be performed in 85.3% of patients, but 14.7% remained unsuitable for resection because of insufficient hypertrophy of the FRL or tumor progression. Posthepatectomy morbidity and mortality rates were 10.3% and 5.1%, respectively. The postoperative liver failure rate was nil.ConclusionHPVE as a preparation for major hepatectomy appears to be feasible and safe and could increase the resectability of patients initially deemed unsuitable for resection because of absent or insufficient hypertrophy of the FRL after PVE alone.     

The local mammalian target of rapamycin(mTOR) modulation:a promising strategy to counteract neurodegeneration

<正>Alzheimer's disease(AD)and the evolution of the"Amyloid Hypothesis":The primary risk factor for dementia is aging,as the overwhelming majority of individuals who have the disease(～95%)are 65 years old or older,and the rate of development of AD doubles roughly every five years from that age,peaking at a nearly 50%population prevalence by the age of 85.The disease is progressive     

A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening

ABSTRACT

Various machine learning techniques have been developed for keratoconus detection and refractive surgery screening. These techniques utilize inputs from a range of corneal imaging devices and are built with automated decision trees, support vector machines, and various types of neural networks. In general, these techniques demonstrate very good differentiation of normal and keratoconic eyes, as well as good differentiation of normal and form fruste keratoconus. However, it is difficult to directly compare these studies, as keratoconus represents a wide spectrum of disease. More importantly, no public dataset exists for research purposes. Despite these challenges, machine learning in keratoconus detection and refractive surgery screening is a burgeoning field of study, with significant potential for continued advancement as imaging devices and techniques become more sophisticated.