Obstructive sleep apnea (OSA) is characterized by recurrent episodes of complete or partial obstruction of the upper airway leading to episodic desaturation. OSA patients often show symptoms of ...anxiety. Our study aimed to examine the presence and levels of anxiety in OSA and simple snoring relative to control subjects and to investigate the correlation between anxiety scores and polysomnographic, demographic, and sleepiness parameters.
The study included 80 OSA, 30 simple snoring, and 98 control cases. Demographic, anxiety, and sleepiness data of all subjects were acquired. The Beck Anxiety Inventory (BAI) was used to determine the level of anxiety. The Epworth Sleepiness Scale (ESS) was used to evaluate the sleepiness level of participants. In addition, polysomnography recordings of those in the OSA and the simple snoring group were acquired.
Significantly higher anxiety scores were found in patients with obstructive sleep apnea and simple snoring compared to the control group (p<0.01, p<0.01, respectively). From the polysomnographic data obtained from OSA and simple snoring subjects, the CT90 values (cumulative percentage of the time spent at saturations below 90%) and the AHI showed a weak positive correlation between the level of anxiety (p=0.004, r=0.271; p=0.04, r=0.196, respectively).
Our study concluded that polysomnographic data showing the depth and duration of hypoxia may be more reliable in showing neuropsychological disorder and hypoxia-related comorbidities in OSA. The CT90 value can be used as a measure in the assessment of anxiety in OSA. Its advantage is that it can be measured with overnight pulse oximetry along with in-laboratory PSG and HSAT (home sleep apnea test).
Our study aimed at investigating the impacts of demographic, hematological, and biochemical factors on the clinical course and the prognostic outcome in adult COVID-19 patients.
This retrospective ...study was performed in the internal medicine departments of two hospitals, and data were extracted from the medical files of 1,700 adult COVID-19 patients (836 females, 49.2%; 864 males, 50.8%) with an average age of 48.23 ± 16.68 (range: 18-93). Clinical data included baseline descriptives, prior medical history, admission date, treatment, and hematological and biochemical blood test results. The relationship between the survival, length of hospitalization, hematological, and biochemical parameters was investigated.
Advanced age (p<0.001), presence of at least on comorbid disease (p=0.045), increased length of hospitalization (p=0.006), elevated white blood cell (p=0.001) and neutrophil (p=0.002) counts, increased serum levels of glucose (p=0.027), blood urea nitrogen (p<0.001), AST (p=0.006), LDH (p<0.001), CRP (p>0.001), and D-dimer (p=0.001). In contrast, diminution of serum levels of albumin (p<0.001), ALT (p=0.028), calcium (p=0.022), and platelet count (p=0.010) were associated with increased mortality. There was a positive and weak relationship between serum D-dimer levels and length of hospitalization.
Our data imply that identifying and validating indicators that predict COVID-19 disease progression to improve health outcomes is crucial. Age, comorbidities, immunological response, radiographic abnormalities, laboratory markers, and signs of organ dysfunction may all predict poor outcomes individually or collectively. Identifying characteristics that predict COVID-19 problems is critical to guiding clinical management, improving patient outcomes, and allocating limited resources.
