scholarly journals Correction to: Coronavirus Disease 2019 Hospitalizations Attributable to Cardiometabolic Conditions in the United States: A Comparative Risk Assessment Analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200378 ◽  
Author(s):  
Katherine L. Rosettie ◽  
Renata Micha ◽  
Frederick Cudhea ◽  
Jose L. Peñalvo ◽  
Martin O’Flaherty ◽  
...  

Author(s):  
Meghan O’Hearn ◽  
Junxiu Liu ◽  
Frederick Cudhea ◽  
Renata Micha ◽  
Dariush Mozaffarian

BACKGROUND Risk of coronavirus disease 2019 (COVID‐19) hospitalization is robustly linked to cardiometabolic health. We estimated the absolute and proportional COVID‐19 hospitalizations in US adults attributable to 4 major US cardiometabolic conditions, separately and jointly, and by race/ethnicity, age, and sex. METHODS AND RESULTS We used the best available estimates of independent associations of cardiometabolic conditions with a risk of COVID‐19 hospitalization; nationally representative data on cardiometabolic conditions from the National Health and Nutrition Examination Survey 2015 to 2018; and US COVID‐19 hospitalizations stratified by age, sex, and race/ethnicity from the Centers for Disease Control and Prevention’s Coronavirus Disease 2019–Associated Hospitalization Surveillance Network database and from the COVID Tracking Project to estimate the numbers and proportions of COVID‐19 hospitalizations attributable to diabetes mellitus, obesity, hypertension, and heart failure. Inputs were combined in a comparative risk assessment framework, with probabilistic sensitivity analyses and 1000 Monte Carlo simulations to jointly incorporate stratum‐specific uncertainties in data inputs. As of November 18, 2020, an estimated 906 849 COVID‐19 hospitalizations occurred in US adults. Of these, an estimated 20.5% (95% uncertainty interval [UIs], 18.9–22.1) of COVID‐19 hospitalizations were attributable to diabetes mellitus, 30.2% (UI, 28.2–32.3) to total obesity (body mass index ≥30 kg/m 2 ), 26.2% (UI, 24.3–28.3) to hypertension, and 11.7% (UI, 9.5–14.1) to heart failure. Considered jointly, 63.5% (UI, 61.6–65.4) or 575 419 (UI, 559 072–593 412) of COVID‐19 hospitalizations were attributable to these 4 conditions. Large differences were seen in proportions of cardiometabolic risk–attributable COVID‐19 hospitalizations by age and race/ethnicity, with smaller differences by sex. CONCLUSIONS A substantial proportion of US COVID‐19 hospitalizations appear attributable to major cardiometabolic conditions. These results can help inform public health prevention strategies to reduce COVID‐19 healthcare burdens.


Author(s):  
Peter Chemweno ◽  
Liliane Pintelon

Abstract Dialysis processes within the home care context is associated with risk factors which are not very prominent in the hospital context. This includes risk factors such as unanticipated device malfunction, or erroneous operation of the equipment, which exposes the patient to injury while undergoing dialysis. Importantly, the mentioned risk factors are further attributed to technical aspects such as sub-optimal equipment maintenance or following improper clinical procedures when administering care to the patient. Hence, it is important to follow a methodological approach to identify and assess hazards embedded within the dialysis treatment process, and on this basis, formulate effective strategies to mitigate their negative consequences on patient safety. This paper presents a comparative risk assessment for in-hospital versus in-home dialysis care. For the two cases, the risk assessment considers expertise of care givers involved in administering dialysis. The findings show that performing risk assessment for hospital environment, is more structured owing to expertise of clinicians and care givers responsible for administering dialysis. However, assessing risks for the home-care environment is more challenging owing to absence of domain knowledge, hence a survey approach to structure the risk assessment process is necessary. Moreover, risks in the home care context is influenced by logistical aspects, and lack of domain knowledge for maintaining dialysis equipment. Overall, insights from the comparative studies yields important learning points expected to improve dialysis care as more healthcare providers transfer care to the home environment.


2021 ◽  
Vol 46 (71) ◽  
pp. 35511-35524
Author(s):  
Byung-Hoon Yoo ◽  
Supaporn Wilailak ◽  
Sang-Hyun Bae ◽  
Hye-Ri Gye ◽  
Chul-Jin Lee

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