Literature DB >> 32474561

Clinical Characteristics of Elderly Patients with COVID-19 in Hunan Province, China: A Multicenter, Retrospective Study.

Ting Guo1,2,3, Qinxue Shen1,2,3, Wei Guo1,2,3, Wenlong He1,2,3, Jinhua Li1,2,3, Yi Zhang1,2,3, Yunnian Wang4, Zhiguo Zhou5, Dingding Deng6, Xiaoli Ouyang1,2,3, Zhi Xiang7, Minyan Jiang8, Minyong Liang9, Peng Huang10, Zaimei Peng11, Xudong Xiang11, Wenlong Liu12, Hong Luo1,2,3, Ping Chen1,2,3, Hong Peng13,14,15.   

Abstract

BACKGROUND: The aim of this study was to analyze and summarize the clinical characteristics of elderly patients with coronavirus disease 2019 (COVID-19) and compare the differences of young-old patients (60-74 years old) and old-old patients (≥75 years old).
METHODS: In thisretrospective, multicenter study, the medical records of elderly patients who were diagnosed with COVID-19 in Hunan province, China, from January 21 to February 19, 2020 were reviewed. The characteristics of young-old patients and old-old patients were compared.
RESULTS: Of the 105 elderly patientsconfirmed withCOVID-19, 81.0% were young-old patients, and 19.0% were old-old patients; 54.3% of elderly patients were females. Overall, 69.5% of elderly patients had underlying diseases, and the most common comorbidities included hypertension (43.8%), diabetes (25.7%), and cardiac disease (16.2%). Of the elderly patients, 22.9% were severe and 10.5% were critical severe cases. On admission, the most frequent symptoms in elderly patients included fever (66.7%), cough (64.8%), and fatigue (33.3%). Lymphopenia (31.4%), increased D-dimer (38.1%), depressed albumin (36.2%), elevated lactate dehydrogenase (41.0%), and a high level of C-reactive protein (79.0%) were common among elderly patients with COVID-19. The median prothrombin time (PT) and the activated partial thromboplastin time (APTT) were longer in old-old patients than young-old patients (PT median 12.3 vs. 13.1 s, p = 0.007; APTT median 39.0 vs. 33.5 s, p = 0.045). Young-old patients showed fewer complications (14.1%) than old-old patients (40.0%; p = 0.0014) and fewer received invasive ventilator support (3.5 vs. 25.0%, p = 0.006). As of March 11, 2020, 85.7% of elderly patients had been discharged, 3 deaths had occurred, and 11.4% were still hospitalized.
CONCLUSIONS: Elderly patients usually have chronic medical illness and are likely to have a severe or critically severe condition. They could show atypical symptoms without fever or cough and multiple organ dysfunction. Old-old patients tend to have more complications than young-old patients during hospitalization. Careful nursing, observation, and systemic treatment are very important in elderly patients.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Coronavirus disease 2019; Elderly; Epidemiology; Older people; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32474561     DOI: 10.1159/000508734

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  31 in total

1.  The Impact of Age and Gender and Their Association with Chemosensory Dysfunction, in Hospitalized and Self-Quarantine Patients with Covid-19 Infection, in Epirus, Greece.

Authors:  Athina Zarachi; Vasileios Pezoulas; Orestis Milionis; Aikaterini N Lianou; Eleutherios Klouras; Ioannis Komnos; Dimitrios Fotiadis; Ioannis Kastanioudakis; Charalampos Milionis; Angelos Liontos
Journal:  Maedica (Bucur)       Date:  2022-03

2.  Clinical Characteristics and Outcomes in Elderly Patients With COVID-19: A Single-Centre Retrospective Study.

Authors:  Kartik Mittal; Minakshi Dhar; Monika Pathania; Vartika Saxena
Journal:  Cureus       Date:  2022-05-30

Review 3.  COVID-19 in adult patients with pre-existing chronic cardiac, respiratory and metabolic disease: a critical literature review with clinical recommendations.

Authors:  Gerard Thomas Flaherty; Paul Hession; Chee Hwui Liew; Bryan Chang Wei Lim; Tan Kok Leong; Victor Lim; Lokman Hakim Sulaiman
Journal:  Trop Dis Travel Med Vaccines       Date:  2020-08-28

Review 4.  Emerging roles of extracellular vesicles in COVID-19, a double-edged sword?

Authors:  Xiaohuan Xia; Ping Yuan; Yihan Liu; Yi Wang; Weijun Cao; Jialin C Zheng
Journal:  Immunology       Date:  2021-05-04       Impact factor: 7.215

5.  [Editorial] COVID‑19: Post‑lockdown guidelines.

Authors:  Ronald N Kostoff; Michael B Briggs; Alan L Porter; Michael Aschner; Demetrios A Spandidos; Aristidis Tsatsakis
Journal:  Int J Mol Med       Date:  2020-06-12       Impact factor: 4.101

6.  Understanding the Clinical Features of Coronavirus Disease 2019 From the Perspective of Aging: A Systematic Review and Meta-Analysis.

Authors:  Chen Yifan; Pu Jun
Journal:  Front Endocrinol (Lausanne)       Date:  2020-11-11       Impact factor: 5.555

7.  Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample.

Authors:  Fahad Alamri; Yazed AlRuthia; Yousef Alsofayan; Ahmed Alahmari; Yasir Almuzaini; Fouad Abo Gazalah; Faten Alradini; Tareef Alaama; Anas Khan
Journal:  Risk Manag Healthc Policy       Date:  2021-03-03

8.  Prognostic Factors in COVID-19 Patients With New Neurological Manifestations: A Retrospective Cohort Study in a Romanian Neurology Department.

Authors:  Eugenia Irene Davidescu; Irina Odajiu; Delia Tulbǎ; Constantin Dragoş Sandu; Teodora Bunea; Georgiana Sandu; Dafin Fior Mureşanu; Paul Bǎlǎnescu; Bogdan Ovidiu Popescu
Journal:  Front Aging Neurosci       Date:  2021-06-17       Impact factor: 5.750

9.  A predictive model for the severity of COVID-19 in elderly patients.

Authors:  Furong Zeng; Guangtong Deng; Yanhui Cui; Yan Zhang; Minhui Dai; Lingli Chen; Duoduo Han; Wen Li; Kehua Guo; Xiang Chen; Minxue Shen; Pinhua Pan
Journal:  Aging (Albany NY)       Date:  2020-11-10       Impact factor: 5.682

10.  Older Adults Hospitalized with Covid-19: Clinical Characteristics and Early Outcomes from a Single Center in Istanbul, Turkey.

Authors:  A Medetalibeyoglu; N Senkal; M Kose; Y Catma; E Bilge Caparali; M Erelel; M Oral Oncul; G Bahat; T Tukek
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

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