Intraoperative spinal accessory nerve monitoring in neck dissections.

BACKGROUND: The identification and preservation of the spinal accessory nerve (SAN) is essential in neck surgeries due to possible complications. We report the technique to intraoperative neuromonitoring (IONM) of SAN in functional neck dissections. METHOD: SAN was monitored by needle electrodes placed on the trapezius muscle. Preoperative and postoperative nerve mapping was performed. CONCLUSION: IONM for spinal accessory nerve in patients undergoing neck dissection is a useful technique that can be valuable for neck surgeries where spinal nerve injury is at risk.

Survival Analysis in Patients with Laryngeal Cancer: A Retrospective Cohort Study.

INTRODUCTION: The worldwide incidence rate of laryngeal cancer is declining. However, the 5-year survival for these patients has decreased in recent years from 66% to 63%. This may be due to changes in the treatment of the disease. The present study aimed to evaluate the survival rate of patients with LC according to the stage of the disease and the treatment applied. For this purpose, surgical versus organ preservation protocols (OPP) based on chemoradiotherapy were evaluated. METHODS: A retrospective cohort study was conducted in a tertiary hospital. The study included adult patients with a clinical diagnosis of primary LC. Patients with LC and systemic metastases and those with synchronous tumors at diagnosis were excluded. Univariate and multivariate analyses were performed to determine the association between exposure to LC treatment and the time to event (death). Overall survival (OS), cause-specific survival (CSS), and disease-free survival (DFS) were calculated. RESULTS: Patients with advanced tumors (stages III and IV) had almost three times the risk of LC death than those in the initial tumor stages (I and II) [HR CCS = 2.89 (95%CI 1.30-6.39)]; [HR OS = 2.01 (95%CI 1.35-2.98)]. Patients who underwent surgical treatment had a higher chance of survival than those who were treated according to OPP [HR = 0.62; 95%CI (0.38-1.02)] in CSS, 0.74 [95%CI (0.50-1.90)] in OS, and 0.61 [95%CI (0.40-0.91)] in DFS. DISCUSSION: OPP changed the management of patients with advanced stages of LC, establishing CRT as an alternative to surgery. Our data did not reveal clinically relevant differences in OS between patients treated with OPP and those who underwent surgery; however, we reported differences in the DFS rate after five years of follow-up in favor of the surgery-treated group of patients. CONCLUSION: Surgical treatment improves CSS and DFS at five years in patients with initial LC with respect to radiation therapy alone. Furthermore, surgical treatment associated with complementary radiation therapy offers better CSS and DFS in patients with advanced LC.

Stapler-Assisted Pharyngeal Closure After Total Laryngectomy: A Systematic Review and Meta-Analysis.

INTRODUCTION: Pharyngocutaneous fistula (PCF) remains the most frequent complication following total laryngectomy (TL). Pharyngeal closure with a surgical stapler (SAPC) has been proposed as an effective closure technique that decreases the rate of PCF, reduces surgical time, decreases the length of hospital stay, and shortens the time required before safely initiating oral feeding. METHODS: This study involved a systematic review and meta-analysis of patients with laryngeal cancer who underwent TL and with subsequent stapler pharyngeal closure, in order to analyse the current literature regarding the role of SAPC after TL. RESULTS: The incidence of PCF in the stapler-assisted suture group (SASG) was 9.5% (95% CI 8.2-15.9%), with a mean absolute deviation of 1.12, while in the hand-suture group (HSG) group the incidence was 23.4% (95% CI 23-26.1%), with a mean absolute deviation of 5.71 (p = 0.01). CONCLUSIONS: SAPC may decrease the risk of PCF in patients following TL. Based on the current data, SAPC appears to shorten the surgical time and the length of hospital stay. Nevertheless, prospective randomized trials are required to validate these findings.

Analysis of Prevalence and Predictive Factors of Long-Lasting Olfactory and Gustatory Dysfunction in COVID-19 Patients.

BACKGROUND: Although smell and taste disorders are highly prevalent symptoms of COVID-19 infection, the predictive factors leading to long-lasting chemosensory dysfunction are still poorly understood. METHODS: 102 out of 421 (24.2%) mildly symptomatic COVID-19 patients completed a second questionnaire about the evolution of their symptoms one year after the infection using visual analog scales (VAS). A subgroup of 69 patients also underwent psychophysical evaluation of olfactory function through UPSIT. RESULTS: The prevalence of chemosensory dysfunction decreased from 82.4% to 45.1% after 12 months, with 46.1% of patients reporting a complete recovery. Patients older than 40 years (OR = 0.20; 95% CI: [0.07, 0.56]) and with a duration of loss of smell longer than four weeks saw a lower odds ratio for recovery (OR = 0.27; 95% CI: [0.10, 0.76]). In addition, 28 patients (35.9%) reported suffering from parosmia, which was associated with moderate to severe taste dysfunction at the baseline (OR = 7.80; 95% CI: [1.70, 35.8]). Among the 69 subjects who underwent the UPSIT, 57 (82.6%) presented some degree of smell dysfunction, showing a moderate correlation with self-reported VAS (r = -0.36, p = 0.0027). CONCLUSION: A clinically relevant number of subjects reported persistent chemosensory dysfunction and parosmia one year after COVID-19 infection, with a moderate correlation with psychophysical olfactory tests.

COVID-19 Pandemic and its Impact on the Management of Head and Neck Cancer in the Spanish Healthcare System.

Introduction Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has represented a major challenge for healthcare systems worldwide, changing the habits of physicians. A reorganization of healthcare activity has been necessary, limiting surgical activity to essential cases (emergencies and oncology), and improving the distribution of health resources. Objective To analyze the impact of the COVID-19 pandemic on head and neck cancer surgery management in Spain. Methods A cross-sectional study, through an anonymous and voluntary online survey distributed to 76 Spanish otorhinolaryngology departments. Results A total of 44 centers completed the survey, 65.9% of which were high-volume. A total of 45.5% of them had to stop high-priority surgery and 54.5% of head and neck surgeons were relocated outside their scope of practice. Surgeons reported not feeling safe during their usual practice, with a decrease to a 25% of airway procedures. A total of 29.5% were "forced" to deviate from the "standard of care" due to the epidemiological situation. Conclusions Approximately half of the departments decreased their activity, not treating their patients on a regular basis, and surgeons were reassigned to other tasks. It seems necessary that the head and neck surgeons balance infection risk with patient care. The consequences of the reported delays and changes in daily practice should be evaluated in the future in order to understand the real impact of the pandemic on the survival of head and neck cancer patients.

Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach.

The COVID-19 outbreak has spread extensively around the world. Loss of smell and taste have emerged as main predictors for COVID-19. The objective of our study is to develop a comprehensive machine learning (ML) modelling framework to assess the predictive value of smell and taste disorders, along with other symptoms, in COVID-19 infection. A multicenter case-control study was performed, in which suspected cases for COVID-19, who were tested by real-time reverse-transcription polymerase chain reaction (RT-PCR), informed about the presence and severity of their symptoms using visual analog scales (VAS). ML algorithms were applied to the collected data to predict a COVID-19 diagnosis using a 50-fold cross-validation scheme by randomly splitting the patients in training (75%) and testing datasets (25%). A total of 777 patients were included. Loss of smell and taste were found to be the symptoms with higher odds ratios of 6.21 and 2.42 for COVID-19 positivity. The ML algorithms applied reached an average accuracy of 80%, a sensitivity of 82%, and a specificity of 78% when using VAS to predict a COVID-19 diagnosis. This study concludes that smell and taste disorders are accurate predictors, with ML algorithms constituting helpful tools for COVID-19 diagnostic prediction.