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Record W4412487524 · doi:10.1111/os.70123

Impact of Warmed Irrigation Fluid During Shoulder Arthroscopy on Patient Temperature, Recovery, and Cognitive Function: A Prospective Analysis of Influencing Factors

2025· article· en· W4412487524 on OpenAlex
Jingfeng Liu, Xiaohong Huang, Xiaowei Xu, Yanyan Song, Jie Chen, Pei Yu, Tingjun Ye, Yin Zhang, Dahang Zhao, Gen Li, Lei Wang, Ying Wang, Zhong Ju, Chengyu Zhuang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOrthopaedic Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsMedicineAnesthesiaProspective cohort studySurgeryArthroscopy

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the effects of warmed irrigation fluid during shoulder arthroscopy on patient temperature regulation, recovery outcomes, and cognitive function. METHODS: A randomized single-blind prospective study (Level II) and a total of 85 patients who underwent shoulder arthroscopy at our hospital from February 2022 to April 2023 were selected, all of whom signed informed consent, which was randomly divided into two groups (warmed irrigation fluid group and room temperature fluid group). Among them, there were 29 males (34.1%) and 56 females (65.9%) (male:female ratio = 1:2), with an average age of 60.80 ± 11.70 years (ranging from 19 to 79 years). There were 50 patients (58.8%) aged over 60 and 35 patients (41.2%) aged under 60. All patients were diagnosed with rotator cuff injuries. We recorded primary patient data, anesthesia duration, anesthesia method, surgery duration, intraoperative temperature protection measures, irrigation volume, intraoperative nasopharyngeal and rectal temperatures, and preoperative and postoperative Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Statistical analysis was performed to evaluate the impact of warmed irrigation fluid on patient temperature, recovery, and cognitive status. RESULTS: Analysis of the data from the 85 shoulder arthroscopy patients indicated that warming the irrigation fluid effectively prevented a decrease in core body temperature (nasopharyngeal and rectal temperatures), with significant differences observed at 120 min (nasopharyngeal temperature) and 105 min (rectal temperature). Patients with warmed irrigation fluid had a shorter average anesthesia recovery time than those without warming, although this difference was not statistically significant. Analysis of MMSE and MOCA scores revealed that the areas of cognitive decline post-surgery mainly involved cumulative memory and attention, while orientation was not affected. Education level was identified as a factor influencing cognitive decline. CONCLUSION: The administration of warmed irrigation fluid during shoulder arthroscopy has effectively preserved patients' core body temperature. This practice may contribute to a reduction in recovery time and complications associated with the procedure. Furthermore, minimally invasive techniques such as arthroscopy have been associated with a decreased incidence of postoperative cognitive impairment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.285
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it