BackgroundRecent data suggest that concentrations of lipoprotein(a) [Lp(a)] may be inversely associated with the risk of diabetes. This study analyzed the relationships between Lp(a) and both diabetes and insulin resistance in an adult cohort from the island of Gran Canaria, Spain.MethodsLp(a), homeostasis model assessment for insulin resistance (HOMA-IR) and conventional risk factors for diabetes were assessed in a sample of 1,030 adult individuals participating in a cross-sectional population-based epidemiological survey in the city of Telde. Diabetes was defined according to the WHO 1999 criteria, or as a previous diagnosis of diabetes. To identify patients at risk for diabetes, an Lp(a) cutoff level of 46 mg/dl was selected previously using classification and regression tree analysis. A multivariate logistic regression model with L2-regularization was used to assess the independent effect of Lp(a) on diabetes and its interactions with variables traditionally linked to the disease. Additionally, to investigate the effect of Lp(a) on insulin resistance, a parametric model was developed to describe the relationship between age and HOMA-IR values in subjects with levels of Lp(a) ≤46 or >46 mg/dl.ResultsAlong with variables known to be associated with diabetes, including age, mean blood pressure, serum triglycerides, and an interaction term between age and low HDL cholesterol, the logistic model identified a significant inverse association for diabetes and the interaction term between age and Lp(a) levels >46 mg/dl. According to the proposed parametric model, HOMA-IR was significantly lower in subjects of all ages who had Lp(a) levels >46 mg/dl.ConclusionsThese results suggest that the age-related increase in the probability of having diabetes is significantly lower in subjects with Lp(a) levels >46 mg/dl. This could be explained in part by a lower insulin resistance in this subset of the population.
Background. COVID-19 is a worldwide pandemic, with many patients requiring prolonged mechanical ventilation. Tracheostomy can shorten ICU length of stay and help weaning. Aims/Objectives. To describe the long-term evolution of the critically patient with COVID-19 and the need for invasive mechanical ventilation and orotracheal intubation (OTI), with or without tracheostomy. Material and Methods. A prospective study was performed including all patients admitted to the ICU due to COVID-19 from 10th March to 30th April 2020. Epidemiological data, performing a tracheostomy or not, mean time of invasive mechanical ventilation until tracheotomy, mean time from tracheotomy to weaning, and final outcome after one month of minimum follow-up were recorded. The Otolaryngology team was tested for COVID-19 before and after the procedures. Results. Out of a total of 1612 hospital admissions for COVID-19, only 5.8% (93 patients) required ICU admission and IOT. Twenty-seven patients (29%) underwent a tracheostomy. After three months, within the group of tracheotomized patients, 29.6% died and 48.15% were extubated in a mean time of 28.53 days. In the nontracheostomized patients, the mortality was 42.4%. Conclusions. Tracheostomy is a safe procedure for COVID-19 and helps weaning of prolonged OTI. Mortality after tracheostomy was less common than in nontracheostomized patients.
Objective: The aim of this study is to evaluate the effects of nasal surgery in the upper airway (UA) collapse using drug induced sleep endoscopy (DISE) in a group of patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods: Prospective cohort of patients treated with nasal surgery between 2015 and 2016. All patients were diagnosed with mild to severe OSAHS. The inclusion criteria were age between 18 and 70 years, apnea–hypopnea index (AHI) higher than 15, and septal deviation. All patients had a DISE performed before surgery and 3 months after. The DISE findings were evaluated through the NOHL scale. Results: Thirty-four patients were included. Surgical success with subjective and objective improvement in nasal obstructions was achieved in all cases. The pattern of UA obstruction did change significantly following nasal surgery (P < 0.05). Before nasal surgery, 74% of the patients demonstrated multilevel obstruction. After nasal surgery, only 50% patients showed multilevel collapse (P < 0.05). Among patients with single-level collapse, the oropharynx was the most common location of obstruction. It became more frequent after nasal surgery was done (41% vs 21%, P < 0.05). Significant improvement was shown in hypopharyngeal collapse. Postoperative AHI decreased from a mean of 26.7 to 19 events/h, but this change was not significant. Conclusion: Nasal surgery may improve hypopharyngeal collapses observed during DISE in patients with OSAHS. Thus, an improvement in nasal obstruction may also modify the surgical plan based on UA functional findings in OSAHS patients.
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