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Klimik Dergisi ; 35(3):179-185, 2022.
Article in Turkish | EMBASE | ID: covidwho-2081563


Objectives: The probability of detecting viral and atypical agents in pneumonia patients has increased with the molecular methods used in recent years. We aimed to investigate pneumonia pathogens in endotracheal aspiration samples (ETA) of patients with severe community-acquired (CAP), hospital-acquired pneumonia (HAP), and ventilator-asso-ciated pneumonia (VAP) by multiplex polymerase chain reaction (m-PCR) and culture method. Method(s): A prospective study was performed between December 2019 and October 2020. Patients 18 years and older with pneumonia followed in ICU on the mechanical ventilator were included. COVID-19 patients were excluded. Patients were grouped as CAP, HAP, and VAP. Two ETA samples were obtained from patients within 48 hours of the pneumonia diagnosis. Respiratory pathogens were investigated in samples by viral-bacterial m-PCR and bacterial culture methods. Result(s): 74 patients were included in the study. m-PCR of ETA samples achieved pathogen detection in 87.8% of patients compared with 58.1% with culture methods. The most common pathogen detected by m-PCR was Streptococcus pneumoniae in both CAP and HAP patients and Klebsiella spp. in VAP patients. The most common pathogen isolated by culture was Staphylococcus aureus in both CAP and HAP patients and Klebsiella spp. in VAP patients. Atypical pneumonia pathogens were positive for 14.9% of the patients. Atypical pathogens were recovered from 28.5% of CAP patients and 23.1% of HAP patients. Viruses constituted all of the atypical pathogens recovered from HAP patients. No atypical pathogen was found in VAP patients. Conclusion(s): In this study, S. pneumoniae was the most common pathogen detected with m-PCR, and S. aureus and Kleb-siella spp. were the most common pathogens detected with culture. Determination of microbial etiology of lower respiratory tract samples by molecular methods for diagnosing severe CAP and HAP may be beneficial in terms of treatment. Copyright © 2022, DOC Design and Informatics Co. Ltd.. All rights reserved.

Turkish Journal of Neurology ; 27(2):176-186, 2021.
Article in English | Web of Science | ID: covidwho-1308498


Objective: We aimed to evaluate the sleep quality and affceting factors of the healthcare professionals working in our hospital during the coronavirus disease-2019 (COVID-19) pandemic. Materials and Methods: One hundred fifty-two healthcare professionals, 95 females and 57 males working during the COVID-19 pandemic, were included in our study. In the study, the factors affecting sleep quality were statistically evaluated by using the patients' demographic features, the Pittsburgh Sleep Quality Index (PSQI), Fatigue Severity Scale, and Beck Anxiety and Beck Depression Scale. Results: According to the PSQI results, the participants of our study were divided into two groups as PSQI >= 5 (n=109, 71.7%) and PSQI <5 (n=43, 28.1%). In the group with poor sleep quality (PSQI >= 5), there were more females (p=0.003), the average age was younger (p=0.013), and the rate of anxiety and depression was higher (p<0.001 and p<0.001). Conclusion: According to the results of our study, during the COVID-19 pandemic, the quality of sleep of the healthcare staff was significantly impaired. The health of health professionals is also important in this long process. Practices for improving the quality of sleep of healthcare staff will contribute to the long-term struggle by strengthening the immune system in the fight of health workers against the virus.

Sleep Med ; 80: 167-170, 2021 04.
Article in English | MEDLINE | ID: covidwho-1051948


AIM: We explored the sleep quality of patients who required mental health and clinical interventions in our hospital after being diagnosed with COVID-19. METHOD: We enrolled 189 patients hospitalised with COVID-19 in April and May of 2020, of whom 78 were female and 111 male. We evaluated sleep quality and related factors in terms of demographic characteristics, the duration of hospitalisation, and Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety-Depression Scale scores. RESULTS: All participants were divided into two groups according to PSQI score: n = 102 (54%) patients with PSQI scores ≥5 and n = 87 (46%) patients with PSQI scores <5. No significant between-group difference was evident in terms of age, gender, marital status, educational level, or chronic disease history. The duration of hospitalisation (p = 0.002) and the depression rate (p = 0.010) were higher in the group exhibiting poor sleep quality (PSQI score ≥5). CONCLUSION: The duration of hospitalisation was longer in patients experiencing poor sleep quality. Therefore, improvement in sleep quality will reduce the length of hospital and intensive care unit stays.

COVID-19/complications , COVID-19/psychology , Length of Stay , Sleep Initiation and Maintenance Disorders , Adult , Depression , Female , Humans , Male , Mental Health , Middle Aged , Sleep , Sleep Initiation and Maintenance Disorders/virology