ArticlePakistan journal of medical sciences
Prediction of ICU admission after orthopedic surgery in elderly patients.
Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Perioperative predictors of critical care admission following emergency surgical procedures: a comprehensive evaluation of anesthesia management.Perioperative medicine (London, England) · 2026Article
- Determinants of effectiveness in orthopedic ERAS: a cross-setting perspective based on the integration of nutritional status and clinical outcomes.Frontiers in nutrition · 2026Article
- Does vasopressor administration in the ICU affect outcomes following primary total joint arthroplasty?Archives of orthopaedic and trauma surgery · 2025Article
- Predictive Scoring Methods for Postoperative Level of Care Needs in the Geriatric Hip Fracture Patient Population.Geriatric orthopaedic surgery & rehabilitation · 2025Article
- Correlation between perioperative parecoxib use and postoperative acute kidney injury in patients undergoing radical mastectomy: a retrospective cohort analysis.BMC anesthesiology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPrediction of ICU admission after surgery are important for rational decision-making for different patients in clinical practice. Little information is available about the risk factors of postoperative ICU admission in elderly patients undergoing orthopedic surgery. This study aimed to identify risk factors and develop a predictive model for postoperative ICU admission in elderly patients undergoing orthopedic surgery.
methodsA total of 2826 cases of elderly patients receiving orthopedic surgery from October 2010 to September 2016 were retrospectively collected and analyzed. Logistic regression was used to evaluate the impacts of covariates. Support vector machine (SVM) was employed to develop a predictive model based on all pre-operative covariates and the demographic information.
resultsThere were 256 patients transferred to ICU after surgery. ASA III or IV and emergency surgery were found to be independent risk factors while neuraxial anesthesia and joint surgery were protective factors. In addition, a SVM-based predictive model was developed, which had a sensitivity of 90.99%, a specificity of 99.10% and an area under ROC curve of 0.9678.
conclusionsOur study revealed that emergency surgery, anesthesia method, surgery type and ASA grade were risk factors to predict postoperative ICU admission in elderly orthopedic patients.
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