scholarly journals Effect of lockdown on digestive system cancer care amongst older patients during the first wave of COVID-19: The CADIGCOVAGE multicentre cohort study

2021 ◽  
Author(s):  
Thomas Aparicio ◽  
Richard Layese ◽  
François Hemery ◽  
Christophe Tournigand ◽  
Elena Paillaud ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cancer Care ◽  
Older Patients ◽  
Digestive System ◽  
Digestive System Cancer ◽  
Multicentre Cohort Study ◽  
Multicentre Cohort

scholarly journals Age differences in clinical features and outcomes in patients with COVID-19, Jiangsu, China: a retrospective, multicentre cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039887 ◽  
Author(s):  
Huanyuan Luo ◽  
Songqiao Liu ◽  
Yuancheng Wang ◽  
Penelope A Phillips-Howard ◽  
Shenghong Ju ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Respiratory Failure ◽  
Hospital Stay ◽  
Older Patients ◽  
Adverse Outcomes ◽  
Trend Test ◽  
Chronic Obstructive ◽  
Multicentre Cohort Study ◽  
Multicentre Cohort

ObjectivesTo determine the age-specific clinical presentations and incidence of adverse outcomes among patients with COVID-19 in Jiangsu, China.Design and settingRetrospective, multicentre cohort study performed at 24 hospitals in Jiangsu, China.Participants625 patients with COVID-19 enrolled between 10 January and 15 March 2020.ResultsOf the 625 patients (median age, 46 years; 329 (52.6%) men), 37 (5.9%) were children (18 years or younger), 261 (41.8%) young adults (19–44 years), 248 (39.7%) middle-aged adults (45–64 years) and 79 (12.6%) elderly adults (65 years or older). The incidence of hypertension, coronary heart disease, chronic obstructive pulmonary disease and diabetes comorbidities increased with age (trend test, p<0.0001, p=0.0003, p<0.0001 and p<0.0001, respectively). Fever, cough and shortness of breath occurred more commonly among older patients, especially the elderly, compared with children (χ2 test, p=0.0008, 0.0146 and 0.0282, respectively). The quadrant score and pulmonary opacity score increased with age (trend test, both p<0.0001). Older patients had many significantly different laboratory parameters from younger patients. Elderly patients had the highest proportion of severe or critically-ill cases (33.0%, χ2 test p<0.0001), intensive care unit use (35.4%, χ2 test p<0.0001), respiratory failure (31.6%, χ2 test p<0.0001) and the longest hospital stay (median 21 days, Kruskal–Wallis test p<0.0001).ConclusionsElderly (≥65 years) patients with COVID-19 had the highest risk of severe or critical illness, intensive care use, respiratory failure and the longest hospital stay, which may be due partly to their having a higher incidence of comorbidities and poor immune responses to COVID-19.

Association between Frailty and 90-Day Outcomes amongst the Chinese Population: A Hospital-Based Multicentre Cohort Study

Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Jing Jiao ◽  
Na Guo ◽  
Lingli Xie ◽  
Qiaoyan Ying ◽  
Chen Zhu ◽  
...  
Keyword(s):  
Cohort Study ◽  
Adverse Outcomes ◽  
Hospital Ward ◽  
Adverse Health Outcomes ◽  
Multicentre Cohort Study ◽  
Older Inpatients ◽  
Ward Clustering ◽  
Clustering Effect ◽  
The Relationship ◽  
Multicentre Cohort

<b><i>Introduction:</i></b> Frailty has gained increasing attention as it is by far the most prevalent geriatric condition amongst older patients which heavily impacts chronic health status. However, the relationship between frailty and adverse health outcomes in China is far from clear. This study explored the relation between frailty and a panel of adverse health outcomes. <b><i>Methods:</i></b> We performed a multicentre cohort study of older inpatients at 6 large hospitals in China, with two-stage cluster sampling, from October 2018 to April 2019. Frailty was measured according to the FRAIL scale and categorized into robust, pre-frail, and frail. A multivariable logistic regression model and multilevel multivariable negative binomial regression model were used to analyse the relationship between frailty and adverse outcomes. Outcomes were length of hospitalization, as well as falls, readmission, and mortality at 30 and 90 days after enrolment. All regression models were adjusted for age, sex, BMI, surgery, and hospital ward. <b><i>Results:</i></b> We included 9,996 inpatients (median age 72 years and 57.8% male). The overall mortality at 30 and 90 days was 1.23 and 1.88%, respectively. At 30 days, frailty was an independent predictor of falls (odds ratio [OR] 3.19; 95% CI 1.59–6.38), readmission (OR 1.45; 95% CI 1.25–1.67), and mortality (OR 3.54; 95% confidence interval [CI] 2.10–5.96), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. At 90 days, frailty had a strong predictive effect on falls (OR 2.10; 95% CI 1.09–4.01), readmission (OR 1.38; 95% CI 1.21–1.57), and mortality (OR 6.50; 95% CI 4.00–7.97), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. There seemed to be a dose-response association between frailty categories and fall or mortality, except for readmission. <b><i>Conclusions:</i></b> Frailty is closely related to falls, readmission, and mortality at 30 or 90 days. Early identification and intervention for frailty amongst older inpatients should be conducted to prevent adverse outcomes.

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