Evidence map›Paper›PMID 35846735›Full record

ArticleCardiovascular therapeutics2022

Retrospective Study of Aging and Sex-Specific Risk Factors of COVID-19 with Hypertension in China.

Juan Wang, Yili Zhang, Kexin Li, KangJia Du, Xinyi Huang, Zifeng Zhou, Yan Ma, Shuzhen Guo, Yong Hou, Quntang Li and 14 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 14 institutions in 1 country.

Juan WangSchool of Life and Health Sciences, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0000-0002-3413-5291
Yili ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-0044-8759
Kexin LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
KangJia DuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xinyi HuangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zifeng ZhouSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yan MaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Shuzhen GuoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yong HouThe First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
Quntang LiChongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Hongming XuDepartment of Infectious Disease, Daqing Second Hospital, Daqing, Heilongjiang, China.
Jin HuangDepartment of Traditional Chinese Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Qiuhua HuangDepartment of Traditional Chinese Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Hui NaDepartment of Infectious Disease, Harbin Infectious Disease Hospital, Harbin, Heilongjiang, China.
Jingwei WangDepartment of Infectious Disease, Harbin Infectious Disease Hospital, Harbin, Heilongjiang, China.
Xiaoyan WangDepartment of Infectious Disease, Jinzhong Infectious Disease Hospital, Jinzhong, Shanxi, China.
Yanhua XiaoDepartment of Traditional Chinese Medicine, Mudanjiang Kangan Hospital, Mudanjiang, Heilongjiang, China.
Junteng ZhuDepartment of Rehabilitation Medicine, The Affiliated Hospital of Putian College, Putian, Fujian, China.
Hong ChenPresident's Office, The First Hospital of Qiqihar, Qiqihar, Heilongjiang, China.
Zhang LiuDepartment of Traditional Chinese Medicine, The First Hospital of Suihua City, Suihua, Heilongjiang, China.
Mingxuan WangDepartment of Traditional Chinese Medicine, Suining Central Hospital, Suining, Sichuan, China.
Linsong ZhangDepartment of Traditional Chinese Medicine, Hospital (T·C·M) Affiliated to Southwest Medical University, Luzhou, Sichuan, China.
Wei WangPresident's Office, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-3172-0313
Haitong WanSchool of Life and Health Sciences, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0000-0001-5726-7214
Beijing University of Chinese Medicine · CNZhejiang Chinese Medical University · CNThe People's Hospital of Guangxi Zhuang Autonomous Region · CNAnhui University of Traditional Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNFirst People's Hospital of Chongqing · CNHarbin Medical University · CNMudanjiang Medical University · CNPutian University · CNQiqihar Medical University · CNSecond People 's Hospital of Jinzhong · CNSouthwest Medical University · CNSuizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) has been a global threat that pushes healthcare to its limits. Hypertension is one of the most common risk factors for cardiovascular complications in COVID-19 and is strongly associated with disease severity and mortality. To date, clinical mechanisms by which hypertension leads to increased risk in COVID-19 are still unclear. Furthermore, additional factors might increase these risks, such as the consideration of age and sex, which are of interest when in search of personalized treatments for hypertensive COVID-19 patients. Methods: We conducted a retrospective cohort study of 543 COVID-19 patients in seven provinces of China to examine the epidemiological and clinical characteristics of COVID-19 in this population and to determine risk factors of hypertensive COVID-19 patients. We also used univariable and multivariable logistic regression methods to explore the risk factors associated with hypertensive COVID-19 patients in different age and sex subgroups. Results: Among the enrolled COVID-19 patients, the median age was 47 years (interquartile range (IQR) 34.0-57.0), and 99 patients (18.23%) were over 60 years old. With regard to comorbidities, 91 patients (16.75%) were diagnosed with hypertension, followed by diabetes, coronary disease, and cerebrovascular disease. Of the hypertensive COVID-19 patients, 51 (56.04%) were male. Multivariable analysis showed that old age, comorbid diabetes or coronary heart disease on admission, increased D-dimer, increased glucose, and decreased lymphocyte count were independent risk factors associated with hypertensive COVID-19 patients. Elevated total bilirubin (odds ratio [OR]: 1.014, 95% confidence interval [CI]: 0.23-1.05; Conclusions: Factors associated with increased risk of hypertensive COVID-19 patients were identified. Results to the different age and sex subgroups in our study will allow for better possible personalized care and also provide new insights into specific risk stratification, disease management, and treatment strategies for COVID-19 patients with hypertension in the future.

Indexed as

Coronary DiseaseCOVID-19Diabetes MellitusHypertensionAgedAgingChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID35846735
PMCPMC9240958
OpenAlexW4283688974

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.