Objective To systematically review the prevalence of depression and anxiety among health care workers in designated hospitals during the COVID-19 pandemic. Methods The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect cross-sectional studies on the prevalence of depression and anxiety among health care workers from December 2019 to April 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using Stata 14.0 software. Results A total of 21 cross-sectional studies were included, involving 38 372 participants. Meta-analysis results showed that during the COVID-19 epidemic, the prevalence of depression and anxiety among health care workers in designated hospitals were 31.00% (95%CI 0.25 to 0.37) and 44.00% (95%CI 0.34 to 0.53). The results of subgroup analysis showed that individuals of female, married, bachelor degree or above, nurses, junior professional titles, and non-first-line medical staff had higher prevalence of depression and anxiety. Conclusions During the COVID-19 pandemic, the incidence of depression and anxiety among health care workers in designated hospitals remain high. Therefore, more attention should be paid to the mental health of health care workers in designated hospitals. Due to the limited quantity and quality of included studies, more high-quality studies are needed to verify the above conclusions.
ObjectiveTo investigate the clinical and CT findings in patients with coronavirus disease 2019 (COVID-19).MethodsThe epidemiological data and clinical manifestations of 83 COVID-19 patients admitted to Chongqing Public Health Medical Center from January 24, 2020 to February 4, 2020 were analyzed retrospectively. According to the clinical classification, they were divided into four groups: mild group 8 patients, common group 62 patients, severe group 10 patients, and critically severe group 3 patients. The CT characteristics and their relationship with clinical classification were analyzed.ResultsThe average age of 70 mild patients was (43.7±15.0) years, 13 severe patients was (57.4±11.8) years. The average age of mild patients was lower than that of severe patients (Z=–3.185, P=0.001). The average course of mild disease was (5.5±4.2) days, lower than that of severe disease (11.8±5.0) days (Z=–3.978, P=0.000). The clinical manifestations were fever in 72 patients, cough in 60 patients, expectoration in 34 patients, asthenia in 25 patients and shortness of breath in 19 patients. Basic diseases were complicated in 16 patients. CT findings: Both lung lobes were affected in 70 patients (93.3%), pure right lung lobe was affected in 3 patients (4.0%), pure left lung lobe was affected in 2 patients (2.7%), and there was no focus in 8 patients. The total number of affected lung segments was 203 in severe type, with an average of 15.6±5.4 and 530 in the common type, with an average of 9.6±5.3. The number of the severe type was more than that in the common type (Z=–3.456, P=0.001). The focus was mainly in the posterior part, 62 in the dorsal and 65 in the posterior basal segments, 41 in the anterior part of the upper lobe, and less in the common type (P<0.05). The main lesions were ground-glass opacities in 74 patients, patchy shadow in 72 patients, piece shadow in 46 patients, strip shadows in 51 patients and consolidation in 34 patients. Among them, the common CT showed patchy shadow in 34 patients (54.8%), less than severe patients in 12 patients (92.3%) (χ2=4.880, P=0.027). There was no significant difference between the mild CT and the severe patients (P>0.05).ConclusionsThere are some radiographic characteristics in COVID-19. Chest CT is helpful for the diagnosis and the judgement of the disease.
ObjectiveTo evaluate the relationship between CT lesion changes in COVID-19 patients and different subgroups of T lymphocytes, providing reference information for assessing patient conditions, predicting outcomes, and evaluating treatment efficacy. MethodsClinical and imaging data of confirmed COVID-19 patients admitted to the Chongqing Public Health Medical Center from January 24 to March 15, 2020, were collected. Based on the absorption characteristics of lesions in CT images, patients were categorized into three groups: Group A (obviously continuously absorbed), Group B (stable-slow absorption), and Group C (progressive absorption). The relationship between CT changes and T lymphocyte subgroups was analyzed according to lesion absorption. ResultsA total of 47 patients were included, with 18 in Group A, 14 in Group B, and 15 in Group C. At different stages—admission, during treatment, and at the end of treatment—the levels of T lymphocytes were observed as follows: Group A>Group B>Group C. When lesions were absorbed, the average count of CD4+ T lymphocytes was (544.43 ± 163.34) cells/μl; when lesions showed little change or increased, CD4+ T lymphocyte levels decreased to varying degrees. During treatment, both Group A and Group B showed CD4+ T lymphocyte levels returning to above normal levels, with an average increase of 134 cells/μl in Group A, which was lower than that in Group B (192 cells/μl) and Group C (149 cells/μl). Finally, T lymphocyte levels reached normal in all groups, but Group A levels were higher than those in Groups B and C (P<0.05). Upon follow-up, the average CD4+ T lymphocyte count was (544.43 ± 163.34) cells/μl in 52 cases of lesion absorption, (339.06 ± 145.98) cells/μl in 31 cases of minimal change, and (230.50 ± 95.24) cells/μl in 16 cases of lesion progression, with statistically significant differences among the three groups (P<0.05). ConclusionsThe increase in lung lesions in patients indicates poor immune function, necessitating enhanced immune regulation. Conversely, if a decrease in T lymphocyte levels is detected during the course of the disease, attention should be given to the risk of lesion progression, and timely CT re-examinations should be conducted to monitor changes in lesions.