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Clin Infect Dis ; 73(9): e2826-e2827, 2021 11 02.
Article in English | MEDLINE | ID: covidwho-1541513
3.
J Affect Disord ; 298(Pt A): 80-85, 2022 02 01.
Article in English | MEDLINE | ID: covidwho-1487792

ABSTRACT

PURPOSE: The global coronavirus disease 2019 (COVID-19) epidemic has significantly impacted people's lives. This study aimed to examine the influence of the unexpected second wave of COVID-19 on sleep quality and anxiety of Chinese residents in Beijing in June 2020, compared with the initial outbreak at the beginning of 2020, and to investigate the associated factors. METHODS: Using a web-based cross-sectional survey, we collected data from 1,511 participants. assessed with demographic information, sleep quality and anxiety symptoms. The participants were asked to compare their recent sleep and sleep during the first outbreak. The Zung's Self-rating Anxiety Scale (SAS) was used to assess their current insomnia severity. Multivariable logistic regression models were used to analyze the association between COVID-19 epidemic and risk of sleep disturbance and anxiety symptom. RESULTS: The overall prevalence of sleep disturbance and anxiety symptoms were 50.8% and 15.3% respectively. People had significantly shorter sleep duration during the second wave of COVID-19(7.3 ± 1.3) h than the first outbreak (7.5 ± 1.4)h (p < 0.001). During the second outbreak, people were less concerned about infection and more concerned about financial stress and occupational inferference. Beijing residents did not have significant differences in sleep disturbance and anxiety compared with other regions, nor were occupations and nucleic acid testing associated risk factors. Home quarantine, health administrators, history of insomnia and anxiety-depression were significantly associated with sleep disturbance. Female gender, home quarantine, history of insomnia and anxiety-depression were significantly associated with anxiety. CONCLUSION: High prevalence of sleep disturbance and depression symptom was common during the second wave of COVID-19 crisis in Beijing. Home quarantine and previous history of insomnia and anxiety-depressive risk factors were associated with sleep disturbance and anxiety. Female gender was impacting predictor of anxiety. We need continuous assessment of the sleep quality and anxiety symptoms of this epidemic.


Subject(s)
COVID-19 , Anxiety/epidemiology , Beijing , Cross-Sectional Studies , Female , Humans , Internet , SARS-CoV-2 , Sleep , Sleep Quality
4.
Genomics ; 113(6): 3449-3460, 2021 11.
Article in English | MEDLINE | ID: covidwho-1364519

ABSTRACT

The high rate of SARS-CoV-2 infection poses a serious threat to public health. Previous studies have suggested that SARS-CoV-2 can infect human ovary, the core organ of the female reproductive system. However, it remains unclear which type of ovarian cells are easily infected by SARS-CoV-2 and whether ovarian infectivity differs from puberty to menopause. In this study, public datasets containing bulk and single-cell RNA-Seq data derived from ovarian tissues were analyzed to demonstrate the mRNA expression and protein distribution of the two key entry receptors for SARS-CoV-2-angiotensin-converting enzyme 2 (ACE2) and type II transmembrane serine protease (TMPRSS2). Furthermore, an immunohistochemical study of ACE2 and TMPRSS2 in human ovaries of different ages was conducted. Differentially expressed gene (DEG) analysis of ovaries of different ages and with varying ovarian reserves was conducted to explore the potential functions of ACE2 and TMPRSS2 in the ovary. The analysis of the public datasets indicated that the co-expression of ACE2 and TMPRSS2 was observed mostly in oocytes and partially in granulosa cells. However, no marked difference was observed in ACE2 or TMPRSS2 expression between young and old ovaries and ovaries with low and high reserves. Correspondingly, ACE2 and TMPRSS2 were detected in the human ovarian cortex and medulla, especially in oocytes of different stages, with no observed variations in their expression level in ovaries of different ages, which was consistent with the results of bioinformatic analyses. Remarkably, DEG analysis showed that a series of viral infection-related pathways were more enriched in ACE2-positive ovarian cells than in ACE2-negative ovarian cells, suggesting that SARS-CoV-2 may potentially target specific ovarian cells and affect ovarian function. However, further fundamental and clinical research is still needed to monitor the process of SARS-CoV-2 entry into ovarian cells and the long-term effects of SARS-CoV-2 infection on the ovarian function in recovered females.


Subject(s)
Angiotensin-Converting Enzyme 2/genetics , Ovary/cytology , Ovary/physiology , SARS-CoV-2/pathogenicity , Serine Endopeptidases/genetics , Adult , Age Factors , Aged , Angiotensin-Converting Enzyme 2/metabolism , Animals , Female , Gene Expression Regulation , Humans , Macaca fascicularis , Menopause , Middle Aged , Ovary/virology , Puberty , RNA, Messenger , Serine Endopeptidases/metabolism , Virus Internalization , Young Adult
5.
Clin Infect Dis ; 72(9): e240-e248, 2021 05 04.
Article in English | MEDLINE | ID: covidwho-1216620

ABSTRACT

BACKGROUND: Recent studies have indicated that females with coronavirus disease 2019 (COVID-19) have a lower morbidity, severe case rate, and mortality and better outcome than those of male individuals. However, the reasons remained to be addressed. METHODS: To find the factors that potentially protect females from COVID-19, we recruited all confirmed patients hospitalized at 3 branches of Tongji Hospital (N = 1902), and analyzed the correlation between menstrual status (n = 509, including 68 from Mobile Cabin Hospital), female hormones (n = 78), and cytokines related to immunity and inflammation (n = 263), and the severity/clinical outcomes in female patients <60 years of age. RESULTS: Nonmenopausal female patients had milder severity and better outcome compared with age-matched men (P < .01 for both). Menopausal patients had longer hospitalization times than nonmenopausal patients (hazard ratio [HR], 1.91 [95% confidence interval {CI}, 1.06-3.46]; P = .033). Both anti-Müllerian hormone (AMH) and estradiol (E2) showed a negative correlation with severity of infection (adjusted HR, 0.146 [95% CI, .026-.824], P = .029 and 0.304 [95% CI, .092-1.001], P = .05, respectively). E2 levels were negatively correlated with interleukin (IL) 2R, IL-6, IL-8, and tumor necrosis factor alpha in the luteal phase (P = .033, P = .048, P = .054, and P = .023) and C3 in the follicular phase (P = .030). CONCLUSIONS: Menopause is an independent risk factor for female COVID-19 patients. AMH and E2 are potential protective factors, negatively correlated with COVID-19 severity, among which E2 is attributed to its regulation of cytokines related to immunity and inflammation.


Subject(s)
COVID-19 , SARS-CoV-2 , China/epidemiology , Cross-Sectional Studies , Female , Gonadal Steroid Hormones , Humans , Male , Retrospective Studies
6.
Front Med (Lausanne) ; 8: 635255, 2021.
Article in English | MEDLINE | ID: covidwho-1170094

ABSTRACT

Objective: This study was intended to investigate the relationship between COVID-19 disease and ovarian function in reproductive-aged women. Methods: Female COVID-19 patients of reproductive age were recruited between January 28 and March 8, 2020 from Tongji Hospital in Wuhan. Their baseline and clinical characteristics, as well as menstrual conditions, were recorded. Differentials in ovarian reserve markers and sex hormones (including anti-Müllerian hormone [AMH], follicle-stimulating hormone [FSH], the ratio of FSH to luteinizing hormone [LH], estradiol [E2], progesterone [P], testosterone [T], and prolactin [PRL] were compared to those of healthy women who were randomly selected and individually matched for age, region, and menstrual status. Uni- and multi-variable hierarchical linear regression analyses were performed to identify risk factors associated with ovarian function in COVID-19 women. Results: Seventy eight patients agreed to be tested for serum hormone, of whom 17 (21.79%) were diagnosed as the severe group and 39 (50%) were in the basal level group. Menstrual status (P = 0.55), menstrual volumes (P = 0.066), phase of menstrual cycle (P = 0.58), and dysmenorrhea history (P = 0.12) were similar without significant differences between non-severe and severe COVID-19 women. Significant lower serum AMH level/proportion (0.19/0.28 vs. 1.12 ng/ml, P = 0.003/0.027; AMH ≤ 1.1 ng/ml: 75/70.4 vs. 49.7%, P = 0.009/0.004), higher serum T (0.38/0.39 vs. 0.22 ng/ml, P < 0.001/0.001) and PRL (25.43/24.10 vs. 12.12 ng/ml, P < 0.001/0.001) levels were observed in basal level and the all-COVID-19 group compared with healthy age-matched control. When adjusted for age, menstrual status and parity variations in multivariate hierarchical linear regression analysis, COVID-19 disease was significantly associated with serum AMH (ß = -0.191; 95% CI: -1.177-0.327; P = 0.001), T (ß = 0.411; 95% CI: 11.154-22.709; P < 0.001), and PRL (ß = 0.497; 95% CI: 10.787-20.266; P < 0.001), suggesting an independent risk factor for ovarian function, which accounted for 3.2% of the decline in AMH, 14.3% of the increase in T, and 20.7% of the increase in PRL. Conclusion: Ovarian injury, including declined ovarian reserve and reproductive endocrine disorder, can be observed in women with COVID-19. More attention should be paid to their ovarian function under this pandemic, especially regarding reproductive-aged women. Clinical Trial Number: ChiCTR2000030015.

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8.
Eur J Clin Microbiol Infect Dis ; 39(12): 2309-2315, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-656200

ABSTRACT

During the COVID-19 outbreak, the mobile cabin hospital has effectively isolated and treated patients diagnosed as mild-moderate disease. However, a detailed clinical course has not been well described. We included 483 patients who were isolated and treated from Feb 6, 2020, to Feb 15, 2020, including definite outcome (discharge or deterioration). Sixty-two patients were transferred to severe cases, of whom were trasfered to designated hospital for intensive care. By March 9, 2020, all patients were discharged without dead. The mobile cabin hospital provides feasible strategy of isolation of mild-moderate cases and timely intervention during the virus outbreak.


Subject(s)
Coronary Disease/diagnosis , Coronavirus Infections/diagnosis , Lung Diseases/diagnosis , Pandemics , Patient Discharge/statistics & numerical data , Patient Isolation/methods , Pneumonia, Viral/diagnosis , Aged , Betacoronavirus/pathogenicity , Body Mass Index , COVID-19 , COVID-19 Testing , China/epidemiology , Clinical Laboratory Techniques , Comorbidity , Coronary Disease/epidemiology , Coronary Disease/physiopathology , Coronavirus Infections/epidemiology , Coronavirus Infections/physiopathology , Female , Hospitalization/statistics & numerical data , Humans , Lung Diseases/epidemiology , Lung Diseases/physiopathology , Male , Middle Aged , Mobile Health Units , Pneumonia, Viral/epidemiology , Pneumonia, Viral/physiopathology , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index
9.
J Gynecol Oncol ; 31(4): e68, 2020 07.
Article in English | MEDLINE | ID: covidwho-382022

ABSTRACT

The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 has rapidly spread globally. Cancer patients are at a higher risk of being infected with the coronavirus and are more likely to develop severe complications, as compared to the general population. The increasing spread of COVID-19 presents challenges for the clinical care of patients with gynecological malignancies. Concerted efforts should be put into managing gynecological malignancies in an orderly manner by strictly implementing the measures that are specifically developed for controlling the spread of COVID-19. We have drafted Recommendations on Management of Gynecological Malignancies during the COVID-19 Pandemic based on our experience on controlling COVID-19 pandemic in China. We recommend that patients with gynecological malignancies should be managed in hierarchical and individualized manners in combination with local conditions related to COVID-19. Medical care decision should be balanced between controlling COVID-19 pandemic spread and timely diagnosis and treatment for gynecologic oncology patients.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Genital Neoplasms, Female/epidemiology , Pneumonia, Viral/epidemiology , COVID-19 , Disease Outbreaks/statistics & numerical data , Female , Guidelines as Topic , Gynecology/standards , Health Planning Guidelines , Humans , Oncologists/standards , Pandemics , SARS-CoV-2
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