Evidence map›Paper›PMID 41612271›Full record

ArticleBMC musculoskeletal disorders2026

Does fat infiltration of the rotator cuff muscles contribute to increased hidden blood loss (HBL) and other risk factors during arthroscopic rotator cuff repair for rotator cuff injuries?

Zekai Sun, Shangju Gao, Fantao Meng, Yingjie Zhang, Wenyi Li

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zekai SunGraduate School, Hebei North University, No. 11, Diamond South Road, Jingkai District, Zhangjiakou City, Hebei Province, China.
Shangju GaoHebei General Hospital, No.348 Helping West Road,Xinhua District, Shijiazhuang City, Hebei Province, China.
Fantao MengHebei General Hospital, No.348 Helping West Road,Xinhua District, Shijiazhuang City, Hebei Province, China.
Yingjie ZhangHebei General Hospital, No.348 Helping West Road,Xinhua District, Shijiazhuang City, Hebei Province, China.
Wenyi LiHebei General Hospital, No.348 Helping West Road,Xinhua District, Shijiazhuang City, Hebei Province, China. 1456545703@qq.com.

Funding

The People's Government of Hebei Province ZF2024020
6 · The paper itself

Abstract

objectiveThis study aimed to compare hidden blood loss (HBL) in patients undergoing arthroscopic rotator cuff repair based on the degree of rotator cuff fatty infiltration, and to determine whether fatty infiltration is associated with increased HBL and other risk factors.

methodsA retrospective analysis included 141 patients undergoing arthroscopic rotator cuff repair between January 2023 and March 2025. Patients were grouped by rotator cuff fatty infiltration severity (Grades 0-4). Demographics and blood parameters were recorded. Visible blood loss was quantified, and hidden blood loss (HBL) was calculated using preoperative hematocrit (Hctpre) and postoperative hematocrit (Hctpost) to assess total blood loss. Relationships with HBL were analyzed using Pearson/Spearman correlation, Mann-Whitney U test, and multivariate linear regression to identify independent risk factors.

resultsMultivariate linear regression analysis identified the following independent risk factors for HBL: Hctpost (β = -482.318. 95% CI: -814.825to -149.811, p = 0.005), intraoperative blood loss (β = 0.679, 95% CI: 0.444 to ,0.915, P < 0.001), the classification of fatty infiltration (β = 28.279, 95% CI: 13.774to 42.783, P < 0.001), and the grading of tear size (β = 20.954, 95% CI: 3.580 to 38.329, p = 0.018). Notably, the HBL increased significantly with the classification of fatty infiltration(P < 0.001), with median (IQR) values as follows: Stage 0: 293.65(234.20-331.08) ml, Stage 1: 339.66(264.78-376.54) ml, Stage 2: 355.21(268.05-450.66) ml, Stage 3:462.92(340.57-517.23) ml, and Stage 4: 512.23(431.12-575.98)ml.

conclusionPatients exhibiting higher classification of fatty infiltration in the rotator cuff muscles, as well as those with more extensive rotator cuff tears, may be associated with increased levels of hidden blood loss (HBL) during arthroscopic rotator cuff repair. Factors such as Hctpost, intraoperative bleeding volume, severity of fatty infiltration, and tear size have been suggested as potential independent risk factors for HBL. Close perioperative monitoring of these parameters could contribute to improved patient safety during arthroscopic rotator cuff repair procedures.

Indexed as

Adipose TissueArthroscopyBlood Loss, SurgicalRotator CuffRotator Cuff InjuriesAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsArthroscopic rotator cuff repairFatty infiltration in the rotator cuff musclesHidden blood loss (HBL)Rotator cuff injuryRotator cuff tear

Identifiers

PMID41612271
PMCPMC12857037

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LicenceCC BY-NC-ND
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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.