Evidence map›Paper›PMID 35293689›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

Prognostic significance of day-by-day in-hospital blood pressure variability in COVID-19 patients with hypertension.

Chunyan He, Chuan Liu, Jie Yang, Hu Tan, Xiaohan Ding, Xubin Gao, Yuanqi Yang, Yang Shen, Hedong Xiang, Jingbin Ke and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Chunyan HeInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Chuan LiuInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Jie YangInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Hu TanInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Xiaohan DingDepartment of Infectious Diseases, Huoshenshan Hospital, Wuhan, China.
Xubin GaoInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Yuanqi YangInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Yang ShenInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Hedong XiangInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Jingbin KeInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Fangzhengyuan YuanInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Renzheng ChenInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Ran ChengInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Hailin LvInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Ping LiInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Limin ZhangInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Lan HuangInstitute of Cardiovascular Diseases of PLA, the Second Affiliated Hospital, Army Medical University, Chongqing, China.ORCID 0000-0001-6200-2309
Army Medical University · CNPeople's Liberation Army 401 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is the most common comorbidity in patients with coronavirus disease 2019 (COVID-19) and increases in-hospital mortality. Day-by-day blood pressure (BP) variability (BPV) is associated with clinical outcomes in hypertensive patients. However, little information is available on the association of BPV with the outcomes of COVID-19 patients with hypertension. This study aimed to demonstrate whether day-by-day in-hospital BPV had prognostic significance in these patients. The authors included 702 COVID-19 patients with hypertension from Huoshenshan Hospital (Wuhan, China), who underwent valid in-hospital BP measurements on at least seven consecutive days. Day-by-day BPV was assessed by standard deviation (SD), coefficient of variation (CV), and variation independent of mean (VIM). Overall, patients with severe COVID-19 and non-survivors had higher BPV than moderate cases and survivors, respectively. Additionally, higher BPV was correlated with greater age and higher levels of C-reactive protein, procalcitonin, high-sensitive cardiac troponin I, and B-type natriuretic peptide. In multivariable Cox regression, SD of systolic BP (SBP) was predictive of mortality [hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.05-1.30] as well as acute respiratory distress syndrome (ARDS) (HR 1.09, 95% CI 1.01-1.16). Similar trends were observed for CV and VIM of SBP, but not indices of diastolic BP variability. The authors demonstrated that day-by-day in-hospital SBP variability can independently predict mortality and ARDS in COVID-19 patients with hypertension. And high BPV might be correlated with severe inflammation and myocardial injury. Further studies are needed to clarify whether early reduction of BPV will improve the prognosis of these patients.

Indexed as

COVID-19HypertensionBlood PressureHospitalsHumansPrognosisblood pressure variabilityCOVID-19hypertensionmortalityprognosis

Identifiers

PMID35293689
PMCPMC8925012
OpenAlexW4210881959

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.