Evidence map›Paper›PMID 39789560›Full record

ArticlePatient safety in surgery2025

Predicting loss of independence among geriatric patients following gastrointestinal surgery.

Michaela R Cunningham, Christopher L Cramer, Ruyun Jin, Florence E Turrentine, Victor M Zaydfudim

Abstract read
In one paragraph

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

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michaela R CunninghamDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Christopher L CramerDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Ruyun JinDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
Florence E TurrentineDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Victor M ZaydfudimDepartment of Surgery, University of Virginia, Charlottesville, Virginia, USA. vz8h@virginia.edu.

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
NCI NIH HHS T32 CA163177
6 · The paper itself

Abstract

backgroundWhile existing risk calculators focus on mortality and complications, elderly patients are concerned with how operations will affect their quality of life, especially their independence. We sought to develop a novel clinically relevant and easy-to-use score to predict elderly patients' loss of independence after gastrointestinal surgery.

methodsThis retrospective cohort study included patients age ≥ 65 years enrolled in the American College of Surgeons National Surgical Quality Improvement Program database and Geriatric Pilot Project who underwent pancreatic, colorectal, or hepatic surgery (January 1, 2014- December 31, 2018). Primary outcome was loss of independence - discharge to facility other than home and decline in functional status. Patients from 2014 to 2017 comprised the training data set. A logistic regression (LR) model was generated using variables with p < 0.2 from the univariable analysis. The six factors most predictive of the outcome composed the short LR model and scoring system. The scoring system was validated with data from 2018.

resultsOf 6,510 operations, 841 patients (13%) lost independence. Training and validation datasets had 5,232 (80%) and 1,278 (20%) patients, respectively. The six most impactful factors in predicting loss of independence were age, preoperative mobility aid use, American Society of Anesthesiologists classification, preoperative albumin, non-elective surgery, and race (all OR > 1.83; p < 0.001). The odds ratio of each of these factors were used to create a sixteen-point scoring system. The scoring system demonstrated satisfactory discrimination and calibration across the training and validation datasets, with Receiver Operating Characteristic Area Under the Curve 0.78 in both and Hosmer-Lemeshow statistic of 0.16 and 0.34, respectively.

conclusionsThis novel scoring system predicts loss of independence for geriatric patients after gastrointestinal operations. Using readily available variables, this tool can be applied in the urgent setting and can contribute to elderly patients and their family discussions related to loss of independence prior to high-risk gastrointestinal operations. The applicability of this scoring tool to additional surgical sub-specialties and external validation should be explored in future studies.

Identifiers

PMID39789560
PMCPMC11715953

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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.