Evidence map›Paper›PMID 32855527›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2020

Blood pressure control and adverse outcomes of COVID-19 infection in patients with concomitant hypertension in Wuhan, China.

Jinjun Ran, Ying Song, Zian Zhuang, Lefei Han, Shi Zhao, Peihua Cao, Yan Geng, Lin Xu, Jing Qin, Daihai He and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 pooled it
2.8field-weighted citation impact, top 5% 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

64 citing papers in PubMed, 4 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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  20. COVID-19 pandemic and hypertension: an updated report from the Japanese Society of Hypertension project team on COVID-19.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review

4 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 2 countries.

Jinjun Ran *School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Ying Song *Department of Medical Affairs, Huoshenshan Hospital, Wuhan, China.
Zian Zhuang *Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Lefei Han *School of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
Shi Zhao *JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Peihua Cao *Clinical Research Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yan GengDepartment of Infectious Diseases, Huoshenshan Hospital, Wuhan, China.
Lin XuSchool of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jing QinSchool of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Fengfu WuDepartment of Medical Affairs, Huoshenshan Hospital, Wuhan, China. 24632513@qq.com.
Lin YangSchool of Nursing, Hong Kong Polytechnic University, Hong Kong, China. l.yang@polyu.edu.hk.
Hong Kong Polytechnic University · HKChinese University of Hong Kong · CNSouthern Medical University · CNSun Yat-sen University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a common comorbidity in hospitalized patients with COVID-19 infection. This study aimed to estimate the risks of adverse events associated with in-hospital blood pressure (BP) control and the effects of angiotensin II receptor blocker (ARB) prescription in COVID-19 patients with concomitant hypertension. In this retrospective cohort study, the anonymized medical records of COVID-19 patients were retrieved from an acute field hospital in Wuhan, China. Clinical data, drug prescriptions, and laboratory investigations were collected for individual patients with diagnosed hypertension on admission. Cox proportional hazards models were used to estimate the risks of adverse outcomes associated with BP control during the hospital stay. Of 803 hypertensive patients, 67 (8.3%) were admitted to the ICU, 30 (3.7%) had respiratory failure, 26 (3.2%) had heart failure, and 35 (4.8%) died. After adjustment for confounders, the significant predictors of heart failure were average systolic blood pressure (SBP) (hazard ratio (HR) per 10 mmHg 1.89, 95% confidence interval (CI): 1.15, 3.13) and pulse pressure (HR per 10 mmHg 2.71, 95% CI: 1.39, 5.29). The standard deviations of SBP and diastolic BP were independently associated with mortality and ICU admission. The risk estimates of poor BP control were comparable between patients receiving ARBs and those not receiving ARBs, with the only exception of a high risk of heart failure in the non-ARB group. Poor BP control was independently associated with higher risks of adverse outcomes of COVID-19. ARB drugs did not increase the risks of adverse events in hypertensive patients.

Indexed as

BetacoronavirusAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsBlood PressureCoronavirus InfectionsCOVID-19FemaleHumansHypertensionMaleMiddle AgedPandemicsPneumonia, ViralProportional Hazards ModelsRetrospective StudiesAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCOVID-19Heart failureHypertensionIntensive care unitMortality

Identifiers

PMID32855527
PMCPMC7450040
OpenAlexW3081081984

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.