Evidence map›Paper›PMID 39207928›Full record

ArticleAnesthesia and analgesia2025

Occurrence of Low Cardiac Index During Normotensive Periods in Cardiac Surgery: A Prospective Cohort Study Using Continuous Noninvasive Cardiac Output Monitoring.

Lee A Goeddel, Lily Koffman, Marina Hernandez, Glenn Whitman, Chirag R Parikh, Joao A C Lima, Karen Bandeen-Roche, Xinkai Zhou, John Muschelli, Ciprian Crainiceanu and 2 more

Abstract read
In one paragraph

Article in Anesthesia and analgesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Observational
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.

Lee A GoeddelFrom the Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Lily KoffmanDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
Marina HernandezDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
Glenn WhitmanDepartment of Surgery, Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Chirag R ParikhDepartment of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Joao A C LimaDepartment of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Karen Bandeen-RocheDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
Xinkai ZhouDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
John MuschelliDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
Ciprian CrainiceanuDepartment of Biostatistics, Johns Hopkins School of Public Health; Baltimore, Maryland.
Nauder FaradayFrom the Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Charles BrownFrom the Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Novel application of Digital signals of movement, sleep and heart rhythms for detection of Alzheimer's Disease and Related DementiasR01AG075883 · NIA · JOHNS HOPKINS UNIVERSITY · PI Lin Yee Chen, Ciprian M Crainiceanu · 2022 to 2026
$3.8M
Cerebral Autoregulation in the Cardiac Surgery Intensive Care Unit: Associations with Postoperative Delirium, Cognitive Change, and Biomarkers of Brain InjuryRF1AG072387 · NIA · JOHNS HOPKINS UNIVERSITY · PI BROWN, CHARLES HUGH, GOEDDEL, LEE ANDREW · 2021 to 2021
$1.2M
Cerebral Autoregulation in the Cardiac Surgery Intensive Care Unit: Associations with Postoperative Delirium, Cognitive Change, and Biomarkers of Brain InjuryR01AG072387 · NIA · STANFORD UNIVERSITY · PI Charles Hugh Brown · 2025 to 2026
$748k
NIA NIH HHS P30 AG021334NIA NIH HHS R01 AG072387NIA NIH HHS R01 AG075883NIA NIH HHS RF1 AG072387NIA NIH HHS T32 AG000247NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

backgroundContinuous cardiac output monitoring is not standard practice during cardiac surgery, even though patients are at substantial risk for systemic hypoperfusion. Thus, the frequency of low cardiac output during cardiac surgery is unknown.

methodsWe conducted a prospective cohort study at a tertiary medical center from July 2021 to November 2023. Eligible patients were ≥18 undergoing isolated coronary bypass (CAB) surgery with the use of cardiopulmonary bypass (CPB). Cardiac output indexed to body surface area (CI) was continuously recorded at 5-second intervals throughout surgery using a US Food and Drug Administration (FDA)-approved noninvasive monitor from the arterial blood pressure waveform. Mean arterial blood pressure (MAP) and central venous pressure (CVP) were also analyzed. Low CI was defined as <2 L/min/m 2 and low MAP as <65 mm Hg. We calculated time with low CI for each patient for the entire surgery, pre-CPB and post-CPB periods, and the proportion of time with low CI and normal MAP. We used Pearson correlation to evaluate the relationship between CI and MAP and paired Wilcoxon rank sum tests to assess the difference in correlations of CI with MAP before and after CPB.

resultsIn total, 101 patients were analyzed (age [standard deviation, SD] 64.8 [9.8] years, 25% female). Total intraoperative time (mean [SD]) with low CI was 86.4 (62) minutes, with 61.2 (42) minutes of low CI pre-CPB and 25.2 (31) minutes post-CPB. Total intraoperative time with low CI and normal MAP was 66.5 (56) minutes, representing mean (SD) 69% (23%) of the total time with low CI; 45.8 (38) minutes occurred pre-CPB and 20.6 (27) minutes occurred post-CPB. Overall, the correlation (mean [SD]) between CI and MAP was 0.33 (0.31), and the correlation was significantly higher pre-CPB (0.53 [0.32]) than post-CPB (0.29 [0.28], 95% confidence interval [CI] for difference [0.18-0.34], P < .001); however, there was substantial heterogeneity among participants in correlations of CI with MAP before and after CPB. Secondary analyses that accounted for CVP did not alter the correlation between CI and MAP. Exploratory analyses suggested duration of low CI (C <2 L/min/m 2 ) was associated with increased risk of postoperative acute kidney injury (odds ratios [ORs] = 1.09; 95% CI; 1.01-1.13; P = .018).

conclusionsIn a prospective cohort of patients undergoing CAB surgery, low CI was common even when blood pressure was normal. CI and MAP were correlated modestly. Correlation was higher before than after CPB with substantial heterogeneity among individuals. Future studies are needed to examine the independent relation of low CI to postoperative kidney injury and other adverse outcomes related to hypoperfusion.

Indexed as

Cardiac OutputCardiac Surgical ProceduresMonitoring, IntraoperativeAgedArterial PressureCardiac Output, LowCardiopulmonary BypassCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesTime Factors

Identifiers

PMID39207928
PMCPMC11649474

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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.