Evidence map›Paper›PMID 32778073›Full record

Observational studyBMC cardiovascular disorders2020

Early drop in systolic blood pressure, heart rate at admission, and their effects on worsening renal function in elderly patients with acute heart failure.

Makoto Takeuchi, Michiaki Nagai, Keigo Dote, Masaya Kato, Noboru Oda, Eiji Kunita, Eisuke Kagawa, Aya Yamane, Yusuke Kobayashi, Haruko Shiota and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2020. 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
0.1field-weighted citation impact, top 47% 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, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Early drop in blood pressure following angiotensin receptor-neprilysin inhibitor initiation in decompensated heart failure.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
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 1 institution in 1 country.

Makoto TakeuchiDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Michiaki NagaiDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan. nagai10m@r6.dion.ne.jp.ORCID 0000-0002-3838-1369
Keigo DoteDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Masaya KatoDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Noboru OdaDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Eiji KunitaDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Eisuke KagawaDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Aya YamaneDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Yusuke KobayashiDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Haruko ShiotaDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Ayano OsawaDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Hiroshi KobatakeDepartment of Cardiology, Hiroshima City Asa Hospital, 2-1-1 Kabeminami, Aaskita-ku, Hiroshima, 731-0293, Japan.
Hiroshima City Asa Citizens Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegardless of patients' baseline renal function, worsening renal function (WRF) during hospitalization is associated with poor outcomes. In individuals with acute heart failure (AHF), one predictor of WRF is an early drop in systolic blood pressure (SBP). Few studies have investigated WRF in elderly AHF patients or the influence of these patients' heart rate (HR) at admission on the relationship between an early SBP drop SBP and the AHF.

methodsWe measured the SBP and HR of 245 elderly AHF inpatients (83 ± 6.0 years old, females 51%) at admission and another six times over the next 48 h. We defined 'WRF' as a serum creatinine increase ≥0.3 mg/dL by Day 5 post-admission. We calculated the 'early SBP drop' as the difference between the admission SBP value and the lowest value during the first 48 h of hospitalization.

resultsThere were significant differences between the 36 patients with WRF and the 209 patients without WRF: early SBP drop (51 vs. 33 mmHg, p < 0.01) and HR at admission (79 vs. 90 bpm, p < 0.05), respectively. In the multiple logistic regression analysis adjusted for the confounders, higher early SBP drop (p < 0.04) and lower HR at admission (p < 0.01) were significantly associated with WRF. No significant association was shown for the interaction term of early SBP drop × HR at admission with WRF.

conclusionsIn these elderly AHF patients, exaggerated early SBP drop and lower HR at admission were significant independent predictors of WRF, and these factors were additively associated with WRF.

Indexed as

Blood PressureHeart RatePatient AdmissionAcute DiseaseAgedAged, 80 and overDisease ProgressionFemaleHeart FailureHumansKidneyKidney DiseasesMaleProspective StudiesRisk AssessmentRisk FactorsAcute heart failureEarly drop in systolic blood pressureElderlyHeart rateWorsening renal function

Identifiers

PMID32778073
PMCPMC7419179
OpenAlexW3048716365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.