Apaydin Classification of Spreader Flaps Updated.

The use of spreader flaps (SFs) is very helpful in middle vault reconstruction. The aim of the study was to evaluate the versatility of Apaydin classification of SFs on a patient population. This was a retrospective analysis which included 120 rhinoplasty cases. Thorough preoperative planning adhering to precision profileplasty principles was conducted for all patients. The study employed six primary variants of SFs. SFs' types were utilized as follows: type 1 in 41 patients (34.2%), type 2 in 2 patients (1.7%), type 3A in 38 patients (31.7%), types 3B and 3D in 10 cases each (8.3%), type 3C in 2 cases (1.7%), type 4 in 5 cases (4.2%), type 5 in 7 cases (5.8%), and type 6 in 5 cases (4.2%). This study highlights that different SF techniques should be tailored according to the need of the patient when dealing with middle vault reconstruction during reduction rhinoplasty.

ChatGPT and Rhinoplasty Recovery: An Exploration of AI's Role in Postoperative Guidance.

The potential applications of artificial intelligence (AI) in health care have garnered significant interest in recent years. This study presents the first published exploration of ChatGPT, an AI language model, as a tool for providing postoperative guidance during rhinoplasty recovery. The primary objective was to shed light on the role of ChatGPT in augmenting patient care during the critical postoperative phase. Using the Rhinobase database, standardized questions were formulated to evaluate AI-generated responses addressing pain management, swelling, bruising, and potential asymmetries. Results demonstrated that ChatGPT has the potential to enhance patient education and alleviate emotional distress by providing general information and reassurance during the recovery process. However, the study emphasized that AI should not replace personalized advice from qualified health care professionals. This pioneering investigation offers valuable insights into the integration of AI and human expertise, paving the way for optimized postrhinoplasty recovery care.

Effectiveness of ChatGPT in Identifying and Accurately Guiding Patients in Rhinoplasty Complications.

Postoperative complications in rhinoplasty require prompt intervention for optimal outcomes. ChatGPT, an artificial intelligence (AI) tool, offers potential for assisting in postoperative care.This study aims to assess ChatGPT's effectiveness in providing guidance for various rhinoplasty complications.Different complication scenarios were input into ChatGPT. Responses were categorized into "Contact Surgeon" or "Follow Postoperative Instructions."ChatGPT consistently advised immediate surgeon contact for infection. For other complications, it recommended monitoring and adhering to instructions while suggesting surgeon contact if concerns persisted.ChatGPT shows promise in aiding patients' postoperative care by accurately identifying cases necessitating communication with surgeons or emergency care. This research underscores AI's potential in enhancing patient-centered care and contributes to the evolving landscape of health care practices.

Standardizing Septocolumellar Sutures: A New Practical Classification.

The septocolumellar sutures are very helpful to obtain planned rotation and projection. The goal of this study is to revitalize the septocolumellar techniques described before and present an easy new classification for these sutures, and to present their multiple uses on the same patient as a new option for surgeons. Eighty patients were involved in this retrospective study. All the patients were females except one. A detailed preoperative preparation was performed on all patients by following the principles of precision profileplasty. In this study, five main types of septocolumellar sutures were used. Type 4 septocolumellar suture was used in 39 cases, type 3 in 33, type 2 in 22, type 1 in 5, and type 5 in 2 cases. In 21 cases, more than one suture was used. In conclusion, the new practical classification presented in this study gives the surgeon powerful tools to reshape the tip during surgery.

Acute infectious supraglottitis in adult population: epidemiology, management, outcomes and predictors of airway intervention.

PURPOSE: The purpose is to analyze the incidence of acute infectious supraglottitis in our center between 2010 and 2020, define the characteristics and trends of those patients and identify factors associated with the need of airway intervention. METHODS: A retrospective single-center observational study of a cohort of patients diagnosed with acute infectious supraglottitis between January 2010 and December 2020. Patients were stratified according to airway management. RESULTS: Eighty eight patients were included: 59 men (67%) and 29 women (33%). A significant upward trend of 9% in the annual incidence rate of supraglottitis was seen during 2010-2020, with an important increase in cases during 2019. Muffled voice (41%) and respiratory distress (38%) were the most common presenting symptoms; and the median duration of symptoms before hospital admission was 2 days [IQR 1; 3]. Airway intervention was performed in fifteen patients (17%). Nine patients (10%) were intubated and six required tracheotomy (7%). Comparing the patients who required airway intervention with those who received a conservative treatment, younger patients (p < 0.01) were more likely to need airway intervention. In logistic regression analysis, we found that epiglottic abscess (p = 0.015), hypersalivation (p = 0.027) and smoking (p = 0.036) were independent factors with a significant association with airway intervention. CONCLUSION: There was an important increase in cases and its severity in 2019, but due to COVID-19 pandemic, it was not possible to define if it was an isolate event or an upward trend. Epiglottic abscess, hypersalivation and smoking could be possible risk factors for airway intervention.

Outcomes and survival of tracheostomised patients during the COVID-19 pandemic in a third level hospital.

PURPOSE: Analyse the evolution and outcomes of COVID-19 tracheostomised patients. Clarify if this cohort presents an increased risk of haemorrhagic complications and verify the correlation between some risk factors with increased mortality. METHODS: A retrospective single-centre observational study of a prospective cohort of all COVID-19 patients admitted to our centre between March and April 2020. A control group was obtained from a historical cohort of patients who required tracheostomy due to prolonged invasive mechanical ventilation (IMV) before 2020. RESULTS: A total of 1768 patients were included: 67 tracheostomised non-COVID-19 patients (historic cohort), 1371 COVID-19 patients that did not require ICU admission, 266 non-tracheostomised COVID-19 patients and 64 tracheostomised COVID-19 patients. Comparing the obesity prevalence, 54.69% of the tracheostomised COVID-19 patients were obese and 10.53% of the non-tracheostomised COVID-19 patients (p < 0.001). The median of ICU admission days was lower (p < 0.001) in the non-tracheostomised cohort (12.5 days) compared with the COVID-19 tracheostomised cohort (34 days). The incidence of haemorrhagic complications was significantly higher in tracheostomised COVID-19 patients (20.31%) compared with tracheostomised non-COVID-19 patients (5.97%) and presented a higher percentage of obesity, hypertension, diabetes and smoking, significantly different from the historic cohort (p < 0.001). A Cox model showed that tracheostomy had no statistically significant effect on mortality in COVID-19 patients. CONCLUSION: Obesity and smoking may be risk factors for tracheostomy in COVID-19 patients, tracheostomised COVID-19 patients present a higher risk of bleeding complications than those admitted for other reasons and an elevated LDH and INR on ICU admission may be associated with increased mortality.