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1.
Heliyon ; 9(3): e14493, 2023 Mar.
Article in English | MEDLINE | ID: covidwho-2272014

ABSTRACT

Objective: Coronavirus 2019 disease (COVID-19), the cause of the ongoing pandemic, is an acute respiratory tract infection, which has made it necessary for healthcare personnel to use protective equipment such as N95 masks, protective goggles and visors. External compression headaches caused by the compression of the pericranial soft tissues by wearing hats, helmets, or goggles (worn during swimming or diving) have been previously described. In our study, we aimed to evaluate the presence and characteristics of personal protective equipment-associated headaches in healthcare workers during the COVID-19 pandemic period and to determine the effects of such headaches. Materials and methods: A face-to-face questionnaire was delivered to 300 male and female healthcare personnel between the ages of 18-56 working in healthcare units where COVID-19 patients were evaluated and treated. The data from 296 completed questionnaires was evaluated. Results: We included 296 participants (166 females and 130 males) in our study; the mean age was 33.98 ± 8.52 years (range 18-56). One hundred ninety-six (66.22%) participants indicated that they had new onset personal protective equipment-associated headaches. Percentages of those with newly emergent headaches because of protective equipment were higher in the following participant groups: females (p = 0.045), those with COVID-19 disease history (p < 0.001), and those diagnosed with headaches before the pandemic (p = 0.001). Conclusion: Our study showed the presence of new-onset headaches associated with personal protective equipment in healthcare workers during the COVID-19 pandemic. Personal protective equipment-related headaches were associated with the following factors: female sex, a history of COVID-19 disease, and the presence of primary headaches diagnosed before the pandemic.

2.
Int J Clin Pract ; 75(9): e14459, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1262327

ABSTRACT

AIMS: This study aimed to investigate the clinical and chest computed tomography (CT) features associated with clinical parameters for coronavirus disease (COVID-19) in the capital of Turkey, Ankara. MATERIALS AND METHODS: Epidemiological, clinical features, laboratory findings and radiological characteristics of 1563 hospitalised patients with COVID-19 in Ankara were collected, reviewed and analysed in this study. The risk factors associated with disease severity were investigated. RESULTS: Non-severe (1214; 77.7%) and severe cases (349; 22.3%) were enrolled in the study. Compared with the non-severe group, the severe group were significantly older and had more comorbidities (ie, hypertension, diabetes mellitus, cardiovascular disease and chronic kidney disease). Smoking was more common in the severe group. Severe patients had higher respiratory rates and higher incidences of cough and dyspnoea compared with non-severe patients. Compared with the non-severe patients, the severe patients had increased C-reactive protein (CRP), procalcitonin, neutrophil to lymphocyte ratio (NLR) and CRP/albumin ratio and decreased albumin. The occurrence rates of consolidation, subpleural sparing, crazy-paving pattern, cavity, halo sign, reversed halo sign, air bronchogram, pleural thickening, micronodule, subpleural curvilinear line and multilobar and bilateral involvement in the CT finding of the severe patients were significantly higher than those of the non-severe patients. CONCLUSIONS: Many factors are related to the severity of COVID-19, which can help clinicians judge the severity of the patient and evaluate the prognosis. This cohort study revealed that male sex, age (≥55 years), patients with any comorbidities, especially those with cardiovascular disease, dyspnoea, increased CRP, D-dimer and NLR, and decreased lymphocyte count and CT findings of consolidation and multilobar involvement were predictors of severe COVID-19.


Subject(s)
COVID-19 , Lung , Cohort Studies , Humans , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
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