Background: There are limited data on the long-term outcomes of COVID-19 from different parts of the world. Aims: To determine risk factors of 90-day mortality in critically ill patients in Turkish intensive care units (ICUs), with respiratory failure. Study design: Retrospective, observational cohort. Methods: Patients with laboratory-confirmed COVID-19 and who had been followed up in the ICUs with respiratory failure for more than 24 hours were included in the study. Their demographics, clinical characteristics, laboratory variables, treatment protocols, and survival data were recorded. Results: A total of 421 patients were included. The median age was 67 (IQR: 57-76) years, and 251 patients (59.6%) were men. The 90-day mortality rate was 55.1%. The factors independently associated with 90-day mortality were invasive mechanical ventilation (IMV) (HR 4.09 [95% CI: [2.20-7.63], P < .001), lactate level >2 mmol/L (2.78 [1.93-4.01], P < .001), age ≥60 years (2.45 [1.48-4.06)], P < .001), cardiac arrhythmia during ICU stay (2.01 [1.27-3.20], P = .003), vasopressor treatment (1.94 [1.32-2.84], P = .001), positive fluid balance of ≥600 mL/day (1.68 [1.21-2.34], P = .002), PaO 2 /FiO 2 ratio of ≤150 mmHg (1.66 [1.18-2.32], P = .003), and ECOG score ≥1 (1.42 [1.00-2.02], P = .050). Conclusion: Long-term mortality was high in critically ill patients with COVID-19 hospitalized in intensive care units in Turkey. Invasive mechanical ventilation, lactate level, age, cardiac arrhythmia, vasopressor therapy, positive fluid balance, severe hypoxemia and ECOG score were the independent risk factors for 90-day mortality.
Background: There are limited data on long-term outcome and mortality predictors of COVID-19 from different parts of the world. The aim of this study was to determine risk factors of 90-day mortality in critically-ill patients infected with SARS-CoV-2 in Turkish ICUs. Methods: This multicenter, retrospective study was performed in 26 ICUs in Turkey. All patients with confirmed SARS-CoV2 infection, requiring more than 24 hours of ICU follow-up were included in the study. Demographics, clinical characteristics, laboratory variables, respiratory support, treatment types, and survival data were recorded. Results: A total of 421 patients were included in the study. The median age was 67 (IQR: 57-76) years, and 251 patients (59.6%) were men. 90-day mortality rate was 55.1%. Factors independently associated with 90-day mortality were receiving invasive mechanical ventilation (HR 4.09 [95% CI: 2.20-7.63]), admission lactate level > 2 mmol/L (2.78 [1.93-4.01]), age ≥ 60 years (2.45 [1.48-4.06)]), having cardiac arrhythmia during ICU stay (2.01 [1.27-3.20]), receiving vasopressor treatment (1.94 [1.32-2.84]), positive fluid balance of ≥ 600 ml/per day during ICU follow-up (1.68 [1.21-2.34]), admission PaO2/FiO2 ratio of ≤ 150 mmHg (1.66 [1.18-2.32], and baseline ECOG score ≥ 1 (1.42 [1.00-2.02]. Conclusion: This study has shown that long-term mortality was high in critically-ill COVID-19 patients in Turkish ICUs. Invasive mechanical ventilation, high lactate level, older age, presence of cardiac arrhythmia, need for vasopressor treatment, positive fluid balance, severe hypoxemia and not having fully-active performance were related with mortality.
We aimed to obtain information about the characteristics of the ICUs in our country via a point prevalence study. MATERIAL AND METHODS:This cross-sectional study was planned by the Respiratory Failure and Intensive Care Assembly of Turkish Thoracic Society. A questionnaire was prepared and invitations were sent from the association's communication channels to reach the whole country. Data were collected through all participating intensivists between the October 26, 2016 at 08:00 and October 27, 2016 at 08:00. RESULTS:Data were collected from the 67 centers. Overall, 76.1% of the ICUs were managed with a closed system. In total, 35.8% (n=24) of ICUs were levels of care (LOC) 2 and 64.2% (n=43) were LOC 3. The median total numbers of ICU beds, LOC 2, and LOC 3 beds were 12 (8-23), 14 (10-25), and 12 (8-20), respectively. The median number of ventilators was 12 (7-21) and that of ventilators with non-invasive ventilation mode was 11 (6-20). The median numbers of patients per physician during day and night were 3.9 (2.3-8) and 13 (9-23), respectively. The median number of patients per nurse was 2.5 (2-3.1); 88.1% of the nurses were certified by national certification corporation. CONCLUSION:In terms of the number of staff, there is a need for specialist physicians, especially during the night and nurses in our country. It was thought that the number of ICU-certified nurses was comparatively sufficient, yet the target was supposed to be 100% for this rate.
Objective:Interstitial lung disease (ILD) may create sleep disturbances due to chronic disease-related stress, respiratory abnormalities and adverse effects of treatment. We aimed to determine the quality of sleep in ILD patients, and the incidence of Obstructive sleep apnea syndrome (OSAS) in these patients. Materials and Methods: Taken to this study were 52 patients who were followed up in our center due to ILD. Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI) were applied to the patients. Spirometry and diffusion test were performed. Polysomnography (PSG) was performed to 27 patients whose ESS were more than or equal to 10. Results: Demographic characteristics, body mass index, spirometry and diffusion measurements, PSQI global score and the sub-components of it didn't show difference according to ESS daytime sleepiness.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.