Evidence map›Paper›PMID 38898544›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Association of computed tomography-derived muscle mass and quality with delayed acquisition independent walking after cardiovascular surgery.

Kazuya Shimizu, Ryota Matsuzawa, Shinya Nakamura, Keita Murakawa, Hideo Kawakami, Masaki Tabuchi, Motoaki Ohnaka, Masamichi Matsumori, Akira Tamaki

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Kazuya ShimizuDepartment of Rehabilitation, Sumitomo Hospital, Osaka, Japan.ORCID 0009-0000-9179-4720
Ryota MatsuzawaDepartment of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan.
Shinya NakamuraDepartment of Rehabilitation, Sumitomo Hospital, Osaka, Japan.
Keita MurakawaDepartment of Rehabilitation, Sumitomo Hospital, Osaka, Japan.
Hideo KawakamiDepartment of Rehabilitation, Sumitomo Hospital, Osaka, Japan.
Masaki TabuchiDepartment of Cardiovascular Surgery, Sumitomo Hospital, Osaka, Japan.
Motoaki OhnakaDepartment of Cardiovascular Surgery, Sumitomo Hospital, Osaka, Japan.
Masamichi MatsumoriDepartment of Cardiovascular Surgery, Sumitomo Hospital, Osaka, Japan.
Akira TamakiDepartment of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan.

Funding

Hyogo Medical UniversityHyogo Medical University Graduate School of Rehabilitation Science
6 · The paper itself

Abstract

backgroundIn the context of cardiovascular surgery, the foremost concern lies in delayed functional recovery, as typified by the acquisition of independent walking after surgery, among older patients with decline in skeletal muscle mass and quality. Computed tomography (CT), which is typically employed for the preoperative assessment of pathological conditions in patients undergoing cardiovascular surgery, is also suitable for screening for potential decline in skeletal muscle mass and quality. The aim of this study was to examine the predictive capabilities of CT-derived parameters such as muscle mass and muscle quality for the delayed acquisition of independent walking in the postoperative period.

methodsThis retrospective study enrolled consecutive Japanese patients who underwent elective cardiovascular surgery between May 2020 and January 2023. In total, 139 patients were included in the analyses. Based on the preoperative CT image, the psoas muscle volume index (PMVI) and psoas muscle attenuation (PMA) were calculated. Information on patient characteristics, including preoperative physical fitness such as handgrip strength/body mass index (GS/BMI), short physical performance battery (SPPB), and 6-min walking distance (6MWD), were obtained from the medical records. We defined delayed acquisition of independent walking after surgery as the inability to walk 100 m within 4 days after surgery.

resultsThe median age of the patients was 72 (interquartile: 64-78) years, and 74.8% (104/139) were men; 47.5% corresponded to the delayed group. The areas under the curves of SPPB, GS/BMI, 6MWD, PMVI, and PMA against delayed acquisition of independent walking after surgery were 0.68 [95% confidence interval (CI): 0.59 to 0.77], 0.72 (95% CI: 0.63 to 0.80), 0.73 (95% CI: 0.65 to 0.82), 0.69 (95% CI: 0.60 to 0.78), and 0.78 (95% CI: 0.70 to 0.85), respectively. In the multivariate logistic regression analysis, low PMA was significantly associated with delayed acquisition of independent walking even after adjustment for patient characteristics including physical fitness [model 1: SPPB (OR, 1.14; 95% CI: 1.03-1.25), model 2: GS/BMI (OR, 1.13; 95% CI: 1.03-1.25), and model 3: 6MWD (OR, 1.14; 95% CI: 1.03-1.25)], but PMVI was not.

conclusionsOur study revealed a strong association between PMA, a marker of CT-derived muscle quality, and the postoperative delay in achieving independent walking in patients who underwent cardiovascular surgery. The technique to obtain information on muscle quality during the time period before surgery may be an option for timely therapeutic intervention in patients who may have delayed acquisition of independent walking after surgery.

Indexed as

Muscle, SkeletalTomography, X-Ray ComputedWalkingAgedCardiovascular Surgical ProceduresFemaleHumansMaleMiddle AgedRetrospective StudiesCardiac rehabilitationCardiovascular surgical procedureEarly ambulation sarcopeniaFrailtyPreoperative exercise

Identifiers

PMID38898544
PMCPMC11446715

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.