Evidence map›Paper›PMID 34584685›Full record

ArticleAnnals of medicine and surgery (2012)2021

Preoperative heart rate variability analysis is as a potential simple and easy measure for predicting perioperative delirium in esophageal surgery.

Mayumi Echizen, Maiko Satomoto, Miho Miyajima, Yushi Adachi, Eisuke Matsushima

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Mayumi EchizenDepartment of Anesthesiology, Tokyo Medical and Dental University, Tokyo, Japan.
Maiko SatomotoDepartment of Anesthesiology, Toho University Ohmori Medical Center, Tokyo, Japan.
Miho MiyajimaDepartment of Psychosomatic and Palliative Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Yushi AdachiDepartment of Emergency Medicine, Shizuoka Saiseikai General Hospital, Shizuoka, Japan.
Eisuke MatsushimaDepartment of Psychosomatic and Palliative Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Tokyo Medical and Dental University · JPShizuoka Saiseikai General Hospital · JPToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelirium is one of the most common but severe perioperative complications. Autonomic activity evaluated by heart rate variability (HRV) has been recently reported as a useful tool for prediction and for early detection of delirium in acute care medicine, especially in postoperative intensive care unit (ICU) patients. We hypothesized that HRV, by 3-lead electrocardiogram (ECG), one day prior to surgery might correlate with the presence of postoperative delirium. MATERIALS AND

methodsThis study was cohort prospective pilot study. We measured preoperative HRV and postoperative delirium in patients who underwent surgery for elective esophageal cancer. ECG of the participants was performed for 10 min 6-12 h preceding surgery. Postoperatively, patients were admitted to the ICU or critical care unit and stayed for at least 3 days. Delirium was diagnosed by psychiatrist rounds twice a day.

resultsDelirium was assessed for 3 days after surgery and 30 patients performed the study. Seven patients developed delirium during their ICU stay, while the remaining twenty-three did not. After HRV analysis, the preoperative high frequency power in delirium patients was significantly lower than that in non-delirium patient. Other parameters of HRV, including lower frequency power, total power and the ratio showed no statistically significant difference between the groups.

conclusionThe results of current study demonstrated that preoperative measurement of HRV may be a useful predictor of delirium. Further investigation could pave the way to a non-invasive, minimally stressful method of predicting postoperative delirium.

Indexed as

DeliriumHeart rate variabilityIntensive care unitPredicting delirium

Identifiers

PMID34584685
PMCPMC8452778
OpenAlexW3199393406

What Socratic holds

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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 Socratic graph.