Literature DB >> 32211844

Analysis of Epidemiological and Clinical Features in Older Patients With Coronavirus Disease 2019 (COVID-19) Outside Wuhan.

Jiangshan Lian1, Xi Jin2, Shaorui Hao1, Huan Cai1, Shanyan Zhang1, Lin Zheng1, Hongyu Jia1, Jianhua Hu1, Jianguo Gao2, Yimin Zhang1, Xiaoli Zhang1, Guodong Yu1, Xiaoyan Wang1, Jueqing Gu1, Chanyuan Ye1, Ciliang Jin1, Yingfeng Lu1, Xia Yu1, Xiaopeng Yu1, Yue Ren2, Yunqing Qiu1, Lanjuan Li1, Jifang Sheng1, Yida Yang1.   

Abstract

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a large threat to public health in China, with high contagious capacity and varied mortality. This study aimed to investigate the epidemiological and clinical characteristics of older patients with COVID-19 outside Wuhan.
METHODS: A retrospective study was performed, with collecting data from medical records of confirmed COVID-19 patients in Zhejiang province from 17 January to 12 February 2020. Epidemiological, clinical, and treatment data were analyzed between older (≥ 60 years) and younger (< 60 years) patients.
RESULTS: A total of 788 patients with confirmed COVID-19 were selected; 136 were older patients with corresponding mean age of 68.28 ± 7.31 years. There was a significantly higher frequency of women in older patient group compared with younger patients (57.35% vs 46.47%, P = .021). The presence of coexisting medical conditions was significantly higher in older patients compared with younger patients (55.15% vs 21.93%, P < .001), including the rate of hypertension, diabetes, heart disease, and chronic obstructive pulmonary disease. Significantly higher rates of severe clinical type (older vs younger groups: 16.18% vs 5.98%, P < .001), critical clinical type (8.82% vs 0.77%, P < .001), shortness of breath (12.50% vs 3.07%, P < .001), and temperature of > 39.0°C (13.97% vs 7.21%, P = .010) were observed in older patients compared with younger patients. Finally, higher rates of intensive care unit admission (9.56% vs 1.38%, P < .001) and methylprednisolone application (28.68% vs 9.36%, P < .001) were also identified in older patients compared with younger ones.
CONCLUSIONS: The specific epidemiological and clinical features of older COVID-19 patients included significantly higher female sex, body temperature, comorbidities, and rate of severe and critical type disease.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; Epidemiology; SARS-CoV-2; elderly

Mesh:

Year:  2020        PMID: 32211844      PMCID: PMC7184356          DOI: 10.1093/cid/ciaa242

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  116 in total

1.  Pandemic-Related Submissions: The Challenge of Discerning Signal Amidst Noise.

Authors:  Lewis J Kaplan; Thomas P Bleck; Timothy G Buchman; R Phillip Dellinger; Clifford S Deutschman; John C Marshall; David M Maslove; Henry Masur; Margaret M Parker; Donald S Prough; Aarti Sarwal; Jonathan E Sevransky; Jean-Louis Vincent; Jerry J Zimmerman
Journal:  Crit Care Med       Date:  2020-06-11       Impact factor: 7.598

2.  COVID-19 in older adults: clinical, psychosocial, and public health considerations.

Authors:  John P Mills; Keith S Kaye; Lona Mody
Journal:  JCI Insight       Date:  2020-05-21

3.  Prevalence and impact of diabetes in patients with COVID-19 in China.

Authors:  Min Du; Yu-Xin Lin; Wen-Xin Yan; Li-Yuan Tao; Min Liu; Jue Liu
Journal:  World J Diabetes       Date:  2020-10-15

4.  Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: A systematic review and meta-analysis.

Authors:  Jackson S Musuuza; Lauren Watson; Vishala Parmasad; Nathan Putman-Buehler; Leslie Christensen; Nasia Safdar
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

5.  The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review.

Authors:  Philip T James; Zakari Ali; Andrew E Armitage; Ana Bonell; Carla Cerami; Hal Drakesmith; Modou Jobe; Kerry S Jones; Zara Liew; Sophie E Moore; Fernanda Morales-Berstein; Helen M Nabwera; Behzad Nadjm; Sant-Rayn Pasricha; Pauline Scheelbeek; Matt J Silver; Megan R Teh; Andrew M Prentice
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

Review 6.  Which criteria were used to describe patients with COVID-19? A systematic review and meta analysis of clinical, laboratory, and imaging features.

Authors:  Alireza Amanollahi; Sahar Sotoodeh Ghorbani; Hamed Basir Ghafouri; Sima Afrashteh; Seyed Saeed Hashemi Nazari
Journal:  Med J Islam Repub Iran       Date:  2021-09-02

7.  Predictors of severe COVID-19 in kidney transplant recipients in the different epidemic waves: Analysis of the Spanish Registry.

Authors:  Florentino Villanego; Auxiliadora Mazuecos; Isabel M Pérez-Flores; Francesc Moreso; Amado Andrés; Carlos Jiménez-Martín; María Molina; Cristina Canal; Luis A Sánchez-Cámara; Sofía Zárraga; María Del Carmen Ruiz-Fuentes; María José Aladrén; Edoardo Melilli; Verónica López; Emilio Sánchez-Álvarez; Marta Crespo; Julio Pascual
Journal:  Am J Transplant       Date:  2021-04-12       Impact factor: 8.086

8.  The comparison of epidemiological characteristics between confirmed and clinically diagnosed cases with COVID-19 during the early epidemic in Wuhan, China.

Authors:  Fang Shi; Haoyu Wen; Rui Liu; Jianjun Bai; Fang Wang; Sumaira Mubarik; Xiaoxue Liu; Yong Yu; Qiumian Hong; Jinhong Cao; Chuanhua Yu
Journal:  Glob Health Res Policy       Date:  2021-05-28

Review 9.  Prevalence of Comorbidities in COVID-19 Patients: A Systematic Review and Meta-Analysis.

Authors:  Ashkan Baradaran; Mohammad H Ebrahimzadeh; Aslan Baradaran; Amir R Kachooei
Journal:  Arch Bone Jt Surg       Date:  2020-04

10.  Epidemiological characteristics and initial spatiotemporal visualisation of COVID-19 in a major city in the Middle East.

Authors:  Shahab MohammadEbrahimi; Alireza Mohammadi; Robert Bergquist; Fatemeh Dolatkhah; Mahsa Olia; Ayoub Tavakolian; Elahe Pishgar; Behzad Kiani
Journal:  BMC Public Health       Date:  2021-07-12       Impact factor: 3.295

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