Evidence map›Paper›PMID 41923568›Full record

ArticleAnnals of geriatric medicine and research2026

Prediction of Postoperative Hypokalemia in Patients with Severe Carotid Artery Stenosis undergoing Standard Carotid Endarterectomy: A Retrospective Cohort Study.

Suiyuan Hu, Xuan Lai, Yunfeng Han

Abstract read
In one paragraph

Article in Annals of geriatric medicine and research, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Suiyuan HuDepartment of Geriatrics, Peking University Third Hospital, Beijing, China.
Xuan LaiDepartment of Geriatrics, Peking University Third Hospital, Beijing, China.
Yunfeng HanDepartment of Neurosurgery, Peking University Third Hospital, Beijing, China.

Funding

National Natural Science Foundation of China 82201635Peking University Third Hospital BYSYZD 2024041
6 · The paper itself

Abstract

backgroundPostoperative hypokalemia is a common electrolyte disturbance associated with adverse outcomes, particularly in older adults. This study aimed to identify risk factors and develop predictive models for hypokalemia within 24 hours after carotid endarterectomy (CEA) for severe carotid artery stenosis, a condition that primarily affects older patient populations.

methodsA retrospective cohort of 1,076 CEA patients (October 2021 to May 2023) was analyzed. Risk factors were identified using univariate and multivariate logistic regression. A predictive nomogram was developed and internally validated via bootstrapping. Machine learning models (Random Forest and XGBoost) were developed and interpreted using SHAP (SHapley Additive exPlanations) analysis. Subgroup analyses were performed in patients aged ≥70 years and by comparing postoperative potassium levels >4.0 mmol/L versus 3.5-4.0 mmol/L.

resultsThe cohort had a median age of 65 years. Multivariate analysis identified preoperative potassium (odds ratio [OR]=0.60, 95% confidence interval [CI] 0.50-0.72), hemoglobin (OR=0.74, 95% CI 0.63-0.88), BMI (OR=0.74, 95% CI 0.63-0.88), and postoperative visual analogue scale score (OR=1.28, 95% CI 1.09-1.51) as independent predictors. Frailty showed borderline significance (OR=1.56, 95% CI 1.00-2.44, p=0.05). The nomogram achieved an area under the curve (AUC) of 0.710, demonstrating good discrimination and calibration. Machine learning models similarly performed well (AUC 0.707-0.709).

conclusionWe developed a validated tool to predict postoperative hypokalemia after CEA. The model highlights that in addition to biochemical and surgical factors, geriatric syndromes like frailty and nutritional status are pivotal risk determinants. This facilitates early, individualized management, including tailored potassium supplementation, nutritional support, and pain control, especially for vulnerable older adults, to mitigate complications and promote recovery.

Indexed as

Carotid StenosisEndarterectomy, CarotidHypokalemiaPostoperative ComplicationsAgedFemaleHumansMaleNomogramsPotassiumRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexPotassiumCarotid endarterectomyFrailtyGeriatricsHypokalemiaNomogramsRisk assessmentSurgery

Identifiers

PMID41923568
PMCPMC13054564

What Socratic holds

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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.