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2.
Innovation in Aging ; 5(Supplement_1):362-362, 2021.
Article in English | PMC | ID: covidwho-1584615

ABSTRACT

Breast cancer treatment advances have lengthened the survivorship period. Limited attention has focused on the myriad issues breast cancer survivors experience related to their cancer and other health conditions as they age. Focus groups, conducted Fall 2019 – Spring 2020 with a diverse sample of breast cancer survivors from the New York metropolitan region (N=28) explored survivors’ healthcare encounters and goals, quality of life, survivorship lifestyle, other health conditions and risks, e.g. emergence of COVID-19. Participants were 40-82 years old (57% were 56 or older);racially diverse (57% White, 18% Black, 14% Hispanic, 11% Bi-racial);32% were married/partnered and 57% were parents. Mean diagnosis age was 51. Treatments received included lumpectomy (64%), chemotherapy (57%), radiation (46%), hormonal therapy (39%), and single/bilateral mastectomy (36%). Survivors expressed the importance of restoring normality in their life and the necessity to be pro-active in ensuring their health issues were addressed in medical encounters. Person-centered care and clinician engagement was valued, but not routinely experienced. Survivors evaluated treatment options not just on being cancer-free, but on how it would impact their whole life. They expressed concerns about the future and anxiety over long-term survival. Long term survivors, recipients of early experimental and/or extensive treatments, worried about an emergence of long-delayed adverse health consequences and complications managing other health issues in the future, particularly as they grew older. COVID-19 raised additional health concerns, particularly among those with high risk health conditions due to prior cancer treatments;various self-mandated protective activities were integrated into their self-care practices.

3.
Build Environ ; 177: 106918, 2020 Jun 15.
Article in English | MEDLINE | ID: covidwho-1385185
4.
Quant Imaging Med Surg ; 10(7): 1551-1558, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-647626

ABSTRACT

BACKGROUND: To investigate the distribution of CT features and also to introduce a novel described CT feature of coronavirus disease-19 (COVID-19) pneumonia. METHODS: A series of radiologic signs in 11 COVID-19 patients were summarized and made morphometric analysis. RESULTS: A special sign termed as "the arch bridge sign" owing to its morphological mimicking an arch bridge was firstly introduced. Statistical analyze showed that the subpleural area is the priority distribution location (14/14) and the sign inclined to perform in those patients in a relatively early stage (6/8) and with moderate clinical severity (8/8). Segment VI in lower lobe involved most (6/14). In this retrospective study, other characteristic radiologic signs of COVID-19 pneumonia were analyzed synchronously. A series of radiologic signs were identified in bilateral lungs with a bias towards segment VI, I + II and X. Segment VI had the largest number of each sign. Ground-glass opacities (GGOs), subpleural distribution pattern and vessels dilatation were the top three most common signs among them. CONCLUSIONS: The recognition of the arch bridge sign may benefit patient care by earlier definitive diagnosis of COVID-19 pneumonia. The lesions of COVID-19 pneumonia distributed mainly in the back-lung segments, which characteristic may light new ideas in clinical treatment and nursing strategy.

5.
Clin Infect Dis ; 71(15): 850-852, 2020 07 28.
Article in English | MEDLINE | ID: covidwho-20603

ABSTRACT

We reported computed tomographic (CT) imaging findings of 3 patients with coronavirus disease 2019 (COVID-19) pneumonia with initially negative results before CT examination and finally confirmed positive for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by real-time reverse-transcription polymerase chain reaction assay.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus , Pandemics , Pneumonia, Viral/epidemiology , Betacoronavirus , COVID-19 , Humans , Patient Discharge , Real-Time Polymerase Chain Reaction , SARS-CoV-2 , Tomography, X-Ray Computed
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