Rigid Esophagoscopy for Foreign Body Extraction: Results and Complications in the Endoscopic Era.

Introduction Rigid esophagoscopy (RE) has long been a part of otolaryngology practice. In the past decades, the procedure was less commonly performed due to the advances and availability of flexible endoscopic techniques. This study aims to describe the outcomes of RE performed to treat foreign body ingestion and to evaluate risk factors associated with postoperative complications. Methods Patients who underwent RE to treat foreign body ingestion in an otolaryngology emergency department of a Portuguese tertiary university hospital, between 2010 and 2020, were included. A total of 162 cases were analyzed, and data was collected retrospectively. Results The most common foreign bodies were meat bone (31.5%, n = 47), food impaction (28.8%, n = 43), and fish bone (19.5%, n = 29). The proximal esophagus was by far the most frequent location (80%, n = 118). Esophageal perforation occurred in 8% (13 patients), and there was a 2.5% (n = 4) mortality rate. The odds ratio of an esophageal perforation if the foreign body was completely or partially located outside the proximal esophagus was 4.67 times that of a foreign body exclusively in the proximal esophagus (OR = 4.67 [95% CI: 1.39-15.72]; p = 0.016; Fisher's exact test). Conclusion RE remains an effective and important technique in the management of ingested foreign bodies, particularly if endoscopic removal is unsuccessful. Foreign body location outside the proximal esophagus was associated with esophageal perforation.

Allergic Rhinitis Seasonality, Severity, and Disease Control Influence Anxiety and Depression.

OBJECTIVES: Allergic rhinitis (AR) has been associated with anxiety and depression. A possible influence of frequency and intensity of the AR symptoms has remained unclear. Therefore, we evaluated the association between AR, as well as its control, seasonality and severity, and the presence of anxiety and depression. METHODS: Participants were selected from a preexistent national database and consecutively contacted by phone. AR was classified according to Allergic Rhinitis and its Impact on Asthma. Presence of anxiety and depression was identified by Hospital Anxiety and Depression Scale (HADS), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II). We built linear regression models assessing the association between any of the assessed anxiety or depression scores and the occurrence, degree of control, seasonality or severity of AR. RESULTS: We analyzed 115 participants with AR and 38 participants with no respiratory symptoms. Patients with AR presented higher scores of anxiety (HADS: 3.1; 95% confidence interval [CI] = 1.9; 4.3; p < 0.001) and depression (HADS: 3.8; 95% CI = 2.5; 5.0; p < 0.001). Poorer AR control was positively associated with higher prevalence and scores of anxiety (HADS: 3.0; 95% CI = 1.5; 4.5; p < 0.001) and depression (HADS: 1.8; 95% CI = 0.2; 3.4; p = 0.031). Similar results were obtained with BAI and BDI-II scales. A moderate/severe presentation of AR were also related with higher scores of anxiety (HADS: 1.7; 95% CI = 0.1; 3.2; p = 0.040) and depression (HADS: 1.7; 95% CI = 0.1; 3.3; p = 0.037). CONCLUSION: The presence of AR, a poorer control, and a moderate/severe presentation of the disease were significantly associated with higher scores of anxiety and depression. Thus, it is important to alert to this association to allow a quick diagnosis of AR-associated pathologies. Laryngoscope, 133:1321-1327, 2023.

Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural network model for classification (multilayer perceptron-MLP) and another risk group assignment (self-organizing map-SOM) for PTB in hospitalized patients in a high complexity hospital in Rio de Janeiro City, using clinical and radiologic data collected from 315 presumed PTB cases admitted to isolation rooms from March 2003 to December 2004 (TB prevalence = 21.5 %). The MLP model included 7 variables-radiologic classification, age, gender, cough, night sweats, weight loss and anorexia. The sensitivity of the MLP model was 96.0 % (95 % CI ±2.0), the specificity was 89.0 % (95 % CI ±2.0), the positive predictive value was 72.5 % (95 % CI ±3.5) and the negative predictive value was 98.5 % (95 % CI ±0.5). The variable with the highest discriminative power was the radiologic classification. The high negative predictive value found in the MLP model suggests that the use of this model at the moment of hospital admission is safe. SOM model was able to correctly assign high-, medium- and low-risk groups to patients. If prospective validation in other series is confirmed, these models can become a tool for decision-making in tertiary health facilities in countries with limited resources.