Clinical features and outcome of patients with chronic pulmonary aspergillosis in China: A retrospective, observational study

2020 ◽  
Vol 30 (4) ◽  
pp. 101041
Author(s):  
Y. Niu ◽  
J. Li ◽  
W. Shui ◽  
D. Li ◽  
C. Yu ◽  
...  
Keyword(s):  
Observational Study ◽  
Clinical Features ◽  
Retrospective Observational Study ◽  
Pulmonary Aspergillosis ◽  
Chronic Pulmonary Aspergillosis

Chronic Pulmonary Aspergillosis in a Tertiary Care Center in Spain: A Retrospective, Observational Study

Mycoses ◽  
2019 ◽  
Author(s):  
Juan Aguilar‐Company ◽  
María Teresa Martín ◽  
Lidia Goterris‐Bonet ◽  
Alex Martinez‐Marti ◽  
Júlia Sampol ◽  
...  
Keyword(s):  
Observational Study ◽  
Care Center ◽  
Tertiary Care ◽  
Retrospective Observational Study ◽  
Tertiary Care Center ◽  
Pulmonary Aspergillosis ◽  
Chronic Pulmonary Aspergillosis

scholarly journals Pathogenesis and clinical features of chronic pulmonary aspergillosis – Is it possible to distinguish CNPA and CCPA clinically?

2014 ◽  
Vol 20 (3) ◽  
pp. 208-212 ◽  
Author(s):  
Koichi Izumikawa ◽  
Takayoshi Tashiro ◽  
Masato Tashiro ◽  
Takahiro Takazono ◽  
Kosuke Kosai ◽  
...  
Keyword(s):  
Clinical Features ◽  
Pulmonary Aspergillosis ◽  
Chronic Pulmonary Aspergillosis

scholarly journals Differences in the clinical characteristics of chronic pulmonary aspergillosis according to spirometric impairment

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260274
Author(s):  
Myoung Kyu Lee ◽  
Sae Byol Kim ◽  
Beomsu Shin
Keyword(s):  
Clinical Features ◽  
Clinical Characteristics ◽  
Pulmonary Function Tests ◽  
Forced Expiratory Volume ◽  
The Other ◽  
Pulmonary Aspergillosis ◽  
Younger Age ◽  
Chronic Pulmonary Aspergillosis ◽  
Low Bmi ◽  
Wbc Count

The clinical features by declining lung function remain uncharacterized in chronic pulmonary aspergillosis (CPA) patients. We investigated the clinical characteristics of CPA patients based on spirometric impairments (restrictive spirometric pattern [RSP] and obstructive spirometric pattern [OSP]) and their severity. We retrospectively analyzed medical records of CPA patients who underwent pulmonary function tests from March 2017 to February 2020. We used Global Lung Initiative 2012 equations with lower limit of normal. The clinical characteristics of patients with RSP were compared to those with OSP. Additionally, RSP patients’ characteristics were analyzed according to forced vital capacity (FVC) tertile, and OSP patients’ characteristics were analyzed according to forced expiratory volume in 1 second (FEV1) tertile. Among the 112 patients with CPA (52 [46%] with RSP and 60 [54%] with OSP), body mass index (BMI) was significantly lower in patients with RSP than in those with OSP (17.6 kg/m2 versus 20.3 kg/m2; P = 0.003), and non-tuberculous mycobacterial disease was more frequently observed in patients with RSP than in those with OSP (28.8% versus 11.7%; P = 0.004). Additionally, for patients with RSP, younger age and bilateral pulmonary lesions were more frequently observed in the first tertile group than in the other groups (P for trend: 0.025 and 0.001, respectively). For patients with OSP, low BMI, paracavitary infiltrates, and elevated WBC count were more frequently observed in the first tertile group than in the other groups (P for trend: < 0.001, 0.011, and 0.041, respectively). Differences in the clinical features of CPA patients were identified according to heterogeneous spirometric patterns and their severity. Further studies are needed to investigate the clinical significance of these findings.

scholarly journals Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e040441 ◽  
Author(s):  
Zichen Wang ◽  
Amanda Zheutlin ◽  
Yu-Han Kao ◽  
Kristin Ayers ◽  
Susan Gross ◽  
...  
Keyword(s):  
Observational Study ◽  
Health System ◽  
Clinical Features ◽  
White Cell Count ◽  
Tertiary Care ◽  
Significant Risk ◽  
Retrospective Observational Study ◽  
Markers Of Inflammation ◽  
Hospitalised Patients ◽  
Mount Sinai

ObjectiveTo assess association of clinical features on COVID-19 patient outcomes.DesignRetrospective observational study using electronic medical record data.SettingFive member hospitals from the Mount Sinai Health System in New York City (NYC).Participants28 336 patients tested for SARS-CoV-2 from 24 February 2020 to 15 April 2020, including 6158 laboratory-confirmed COVID-19 cases.Main outcomes and measuresPositive test rates and in-hospital mortality were assessed for different racial groups. Among positive cases admitted to the hospital (N=3273), we estimated HR for both discharge and death across various explanatory variables, including patient demographics, hospital site and unit, smoking status, vital signs, lab results and comorbidities.ResultsHispanics (29%) and African Americans (25%) had disproportionately high positive case rates relative to their representation in the overall NYC population (p<0.05); however, no differences in mortality rates were observed in hospitalised patients based on race. Outcomes differed significantly between hospitals (Gray’s T=248.9; p<0.05), reflecting differences in average baseline age and underlying comorbidities. Significant risk factors for mortality included age (HR 1.05, 95% CI 1.04 to 1.06; p=1.15e-32), oxygen saturation (HR 0.985, 95% CI 0.982 to 0.988; p=1.57e-17), care in intensive care unit areas (HR 1.58, 95% CI 1.29 to 1.92; p=7.81e-6) and elevated creatinine (HR 1.75, 95% CI 1.47 to 2.10; p=7.48e-10), white cell count (HR 1.02, 95% CI 1.01 to 1.04; p=8.4e-3) and body mass index (BMI) (HR 1.02, 95% CI 1.00 to 1.03; p=1.09e-2). Deceased patients were more likely to have elevated markers of inflammation.ConclusionsWhile race was associated with higher risk of infection, we did not find racial disparities in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. In addition, we identified key clinical features associated with reduced mortality and discharge. These findings could help to identify which COVID-19 patients are at greatest risk of a severe infection response and predict survival.

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