Evidence map›Paper›PMID 31668744›Full record

Observational studyJournal of cardiothoracic and vascular anesthesia2020

Preoperative Blood Pressure Complexity Indices as a Marker for Frailty in Patients Undergoing Cardiac Surgery.

Valluvan Rangasamy, Teresa S Henriques, Xinling Xu, Balachundhar Subramaniam

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of cardiothoracic and vascular anesthesia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Valluvan RangasamyCenter for Anesthesia Research and Excellence (CARE), Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Teresa S HenriquesCenter for Research in Health Technologies and Information Systems (CINTESIS), Faculty of Medicine, Porto University, Porto, Portugal.
Xinling XuCenter for Anesthesia Research and Excellence (CARE), Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Balachundhar SubramaniamCenter for Anesthesia Research and Excellence (CARE), Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA. Electronic address: bsubrama@bidmc.harvard.edu.
Harvard University · USBeth Israel Deaconess Medical Center · USCentre for Health Technology and Services Research · PT

Funding

Dynamic markers of intraoperative instabilityR01GM098406 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SUBRAMANIAM, BALACHUNDHAR · 2012 to 2016
$1.7M
NIGMS NIH HHS R01 GM098406
6 · The paper itself

Abstract

objectiveFrailty, a state of decreased physiological reserve, increases the risk of adverse outcomes. There is no standard tool for frailty during perioperative period. Autonomic dysfunction, an underlying process in frailty, could result in hemodynamic fluctuations. Complexity, the physiological adaptability of a system can quantify these fluctuations. The authors hypothesized that complexity could be a marker for frailty and explored their relationship in cardiac surgical patients.

designProspective, observational study.

settingSingle-center teaching hospital.

participantsThree hundred and sixty-four adult patients undergoing cardiac surgery.

interventionNone. MEASUREMENTS AND MAIN

resultsPreoperative beat-to-beat systolic arterial pressure (SAP) and mean arterial pressure (MAP) time series were obtained. Complexity indices were calculated using multiscale entropy (MSE) analysis. Frailty was assessed from: age >70 years, body mass index <18.5, hematocrit <35%, albumin <3.4 g/dL, and creatinine >2.0 mg/dL. The association between complexity indices and frailty was explored by logistic regression and predictive ability by C-statistics. In total, 190 (52%) patients had frailty. The complexity index (MSE

conclusionPreoperative BP complexity indices correlate and predict frailty. Impaired autonomic control is the underlying mechanism to explain this finding. A simple automated measure of preoperative BP complexity in the surgeon's office has the potential to reliably assess frailty.

Indexed as

Cardiac Surgical ProceduresFrailtyThoracic SurgeryAdultAgedBlood PressureHumansPostoperative ComplicationsProspective StudiesRisk AssessmentBP variabilitycardiac surgeriescomplexityfrailtypreoperative assessment

Identifiers

PMID31668744
PMCPMC6986993
OpenAlexW2978699594

What OpenQuestion holds

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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.