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"Postoperative complications"

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"Postoperative complications"

Original Articles

Cardiopulmonary rehabilitation

Development and Validation of a Clinically Actionable Prediction Model for Postoperative Pulmonary Complications in Cardiac Surgery: A Focus on Modifiable Risk Factors
Ruoxi Li, Meice Tian, Chuangshi Wang, Yujia Huang, Weinan Chen, Ya Song, Bomiao Liu, Liu Du, Xue Feng
Ann Rehabil Med 2026;50(1):50-61.   Published online February 26, 2026
DOI: https://doi.org/10.5535/arm.250092
Objective
To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization.
Methods
In this prospective observational cohort study, 492 adults undergoing open-chest cardiac surgery between August 15, 2023 and December 31, 2023 were analyzed. Prespecified predictors included gas exchange variables, pulmonary function, inspiratory muscle strength, and physical performance. Univariable and multivariable logistic regression analyses were used to develop the prediction model. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC).
Results
A total of 90 patients (14.1%) developed PPCs after surgery. Five independent predictors were identified: elevated arterial PaCO2 (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.00–1.26), oxygen desaturation (SpO2<93%) (OR 12.47, 95% CI 3.51–48.13), reduced gait speed (OR 0.17, 95% CI 0.04–0.71), lower FEV1/FVC ratio (OR 0.96, 95% CI 0.92–1.00), and diminished inspiratory muscle strength (MIP % predicted) (OR 0.96, 95% CI 0.92–0.99). The model demonstrated good discriminative ability with an AUC of 0.86 (95% CI 0.80–0.93) in the training cohort and 0.87 (95% CI 0.74–0.93) in the validation cohort.
Conclusion
This parsimonious model achieved high predictive accuracy using five modifiable physiological variables. By targeting abnormalities in gas exchange, pulmonary mechanics, muscle strength, and functional reserve, the model offers a practical tool to guide individualized prehabilitation strategies for reducing PPC risk in cardiac surgery patients.
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  • 4 Download
Influence of Hip Fracture on Knee Pain During Postoperative Rehabilitation
Hee-Ju Kim, Seong Jae Lee, Jung Keun Hyun, Seo-Young Kim, Tae Uk Kim
Ann Rehabil Med 2018;42(5):682-689.   Published online October 31, 2018
DOI: https://doi.org/10.5535/arm.2018.42.5.682
Objective
To investigate whether fracture type, surgical procedure, or fracture grade affect knee pain during postoperative rehabilitation after a hip fracture.
Methods
We conducted a retrospective case-controlled study of 139 patients during postoperative rehabilitation after surgery for hip fractures. Patients were divided into two groups: patients experiencing knee pain during the first week of postoperative rehabilitation, and patients without knee pain. We compared the types of fracture, surgical procedure, and fracture grade between the two groups.
Results
We enrolled 52 patients (37.4%) with knee pain during the first weeks of postoperative rehabilitation. For type of fracture, knee pain was more common with intertrochanteric fracture than with femur neck fracture (48.8% vs. 21.1%, respectively; p=0.001). For the surgical procedure, there was no significant difference between the groups. For the fracture grade, the grades classified as unstable fractures were more common in the group of intertrochanteric fracture patients with knee pain than in those without knee pain (74.1% vs. 36.4%, respectively; p=0.002).
Conclusion
Intertrochanteric fracture affected knee pain after hip fracture surgery more than did femur neck fracture, particularly in unstable fractures. Furthermore, there was no difference in each fracture type according to the surgical procedure. Careful examination and management for knee pain is needed in patients with hip fracture surgery.

Citations

Citations to this article as recorded by  
  • High Prevalence of Symptomatic Knee Osteoarthritis Among Patients Who Have Fragility Hip Fractures
    Korawish Mekariya, Ekasame Vanitcharoenkul, Pojchong Chotiyarnwong, Nath Adulkasem, Aasis Unnanuntana
    The Journal of Arthroplasty.2025; 40(8): 2179.     CrossRef
  • Post-hip fracture knee pain in older adults: a narrative review
    Yoichi Kaizu, Kazuhiro Miyata
    Aging Advances.2025; 2(2): 62.     CrossRef
  • Post‐hip‐fracture knee pain in older adults prolongs their hospital stays: A retrospective analysis using propensity score matching
    Yoichi Kaizu, Kazuhiro Miyata, Hironori Arii
    Physiotherapy Research International.2024;[Epub]     CrossRef
  • Predictors of post‐hip fracture knee pain in hospitalized older adults with intertrochanteric femoral fracture
    Yoichi Kaizu, Kazuhiro Miyata, Hironori Arii
    PM&R.2023; 15(5): 563.     CrossRef
  • Femoral morphology is associated with development of knee pain after hip fracture injury among older adults: A nine-year retrospective study
    Yoichi Kaizu, Kazuhiro Miyata, Hironori Arii, Masayuki Tazawa, Takehiko Yamaji
    Journal of Orthopaedics.2021; 24: 190.     CrossRef
  • Inpatient knee pain after hip fracture surgery affects gait speed in older adults: A retrospective chart‐referenced study
    Yoichi Kaizu, Kazuhiro Miyata, Hironori Arii, Takehiko Yamaji
    Geriatrics & Gerontology International.2021; 21(9): 830.     CrossRef
  • Thirty-Day Readmission After Radical Gastrectomy for Gastric Cancer: A Meta-analysis
    Zhang Dan, Deng YiNan, Yang ZengXi, Wang XiChen, Pan JieBin, Yin LanNing
    Journal of Surgical Research.2019; 243: 180.     CrossRef
  • 9,015 View
  • 173 Download
  • 7 Web of Science
  • 7 Crossref
Intraoperative Neurophysiological Monitoring for Spinal Cord Tumor Surgery: Comparison of Motor and Somatosensory Evoked Potentials According to Tumor Types
Taeha Park, Jinyoung Park, Yoon Ghil Park, Joowon Lee
Ann Rehabil Med 2017;41(4):610-620.   Published online August 31, 2017
DOI: https://doi.org/10.5535/arm.2017.41.4.610
Objective

To identify which combination of motor evoked potentials (MEPs) and somatosensory evoked potentials (SEPs) is most reliable for postoperative motor deterioration during spinal cord tumor surgery, according to anatomical and pathologic type.

Methods

MEPs and SEPs were monitored in patients who underwent spinal cord tumor surgery between November 2012 and August 2016. Muscle strength was examined in all patients before surgery, within 48 hours postoperatively and 4 weeks later. We analyzed sensitivity, specificity, positive and negative predictive values of each significant change in SEPs and MEPs.

Results

The overall sensitivity and specificity of SEPs or MEPs were 100% and 61.3%, respectively. The intraoperative MEP monitoring alone showed both higher sensitivity (67.9%) and specificity (83.2%) than SEP monitoring alone for postoperative motor deterioration. Two patients with persistent motor deterioration had significant changes only in SEPs. There are no significant differences in reliabilities between anatomical types, except with hemangioma, where SEPs were more specific than MEPs for postoperative motor deterioration. Both overall positive and negative predictive values of MEPs were higher than the predictive values of SEPs. However, the positive predictive value was higher by the dual monitoring of MEPs and SEPs, compared to MEPs alone.

Conclusion

For spinal cord tumor surgery, combined MEP and SEP monitoring showed the highest sensitivity for the postoperative motor deterioration. Although MEPs are more specific than SEPs in most types of spinal cord tumor surgery, SEPs should still be monitored, especially in hemangioma surgery.

Citations

Citations to this article as recorded by  
  • Local tumor control and neurological outcomes after surgery for spinal hemangioblastomas in sporadic and von Hippel–Lindau disease: A multicenter study
    Johannes Wach, Alim Emre Basaran, Martin Vychopen, Tarik Tihan, Maria Wostrack, Vicki M Butenschoen, Bernhard Meyer, Sebastian Siller, Nils Ole Schmidt, Julia Onken, Peter Vajkoczy, Alejandro N Santos, Laurèl Rauschenbach, Philipp Dammann, Ulrich Sure, Ja
    Neuro-Oncology.2025; 27(6): 1567.     CrossRef
  • Letter to the editor: precision medicine in spinal tumor surgical care
    Favour Tope Adebusoye, Simran Karkhanis, Alwin Jose, Krishna Sai Kiran Sakalabaktula, Usama Saeed, Rohan S. Mane, Brandon Lucke-Wold, Paul R. Krafft, Julie L. Chan
    Egyptian Journal of Neurosurgery.2025;[Epub]     CrossRef
  • Resection of an Intradural Intramedullary C7-T1 Tumor: Technical Nuances and Complication Management
    Giovanni Barbagli, Amna Hussein, Esteban Quiceno, Michael Prim, Diego Soto Rubio, Ali Baaj
    World Neurosurgery.2024; 184: 41.     CrossRef
  • Intraoperative changes in electrophysiological monitoring can be used to predict clinical outcomes in patients with spinal cavernous malformation
    Xiaoyu Li, Hongqi Zhang, Jian Ren
    Open Medicine.2024;[Epub]     CrossRef
  • Intradural extramedullary tumor location in the axial view affects the alert timing of intraoperative neurophysiologic monitoring
    Shinji Morito, Kei Yamada, Ichirou Nakae, Kimiaki Sato, Kimiaki Yokosuka, Tatsuhiro Yoshida, Takahiro Shimazaki, Yutaro Hazemoto, Rikiya Saruwatari, Kota Nishida, Shingo Okazaki, Koji Hiraoka
    Journal of Clinical Monitoring and Computing.2023; 37(3): 775.     CrossRef
  • The role of intraoperative neurophysiological monitoring in intramedullary spinal cord tumor surgery
    Kai Liu, Chengyuan Ma, Dapeng Li, Haisong Li, Xuechao Dong, Bo Liu, Ying Yu, Yuxiang Fan, Hongmei Song
    Chinese Neurosurgical Journal.2023;[Epub]     CrossRef
  • Intraoperative evoked potentials in patients with ossification of posterior longitudinal ligament
    Myungeun Yoo, Yoon Ghil Park, Yong Eun Cho, Chae Hwan Lim, Seok Young Chung, Dawoon Kim, Jinyoung Park
    Journal of Clinical Monitoring and Computing.2022; 36(1): 247.     CrossRef
  • The feasibility of intra-operative neurophysiologic monitoring using rectus abdominis muscles during thoracic tumor surgery: a case report
    Hee Tae Shin, Jin Soo Park, Seung Hak Lee
    Journal of Intraoperative Neurophysiology.2022; 4(2): 60.     CrossRef
  • Correlation between preoperative somatosensory evoked potentials and intraoperative neurophysiological monitoring in spinal cord tumors
    Jinyoung Park, Yong Eun Cho, Mina Park, Joowon Lee, Dawoon Kim, Yoon Ghil Park
    Journal of Clinical Monitoring and Computing.2021; 35(5): 979.     CrossRef
  • Surgical and Radiologic Prognostic Factors in Intramedullary Spinal Cord Lesions
    Pietro Mortini, Carlotta Morselli, Alfio Spina, Michele Bailo, Ubaldo del Carro, Nicola Boari
    World Neurosurgery.2021; 150: e550.     CrossRef
  • Age at Diagnosis and Baseline Myelomalacia Sign Predict Functional Outcome After Spinal Meningioma Surgery
    Johannes Wach, Mohammed Banat, Patrick Schuss, Erdem Güresir, Hartmut Vatter, Jasmin Scorzin
    Frontiers in Surgery.2021;[Epub]     CrossRef
  • Intraoperative neurophysiological monitoring in spinal cord tumor surgery
    Jinyoung Park, Yoon Ghil Park
    Journal of Intraoperative Neurophysiology.2021; 3(1): 10.     CrossRef
  • Sudden onset temporary loss of SSEP and MEP as a result to positional neck changes in an intradural extramedullary cervical spine schwannoma: A case report
    Mohammed Zahid Alkhatib, Turki Elarjani, Abdulrahman Majed Alkhalefah, Faisal Farrash
    Interdisciplinary Neurosurgery.2020; 21: 100717.     CrossRef
  • Differences in the Electrophysiological Monitoring Results of Spinal Cord Arteriovenous and Intramedullary Spinal Cord Cavernous Malformations
    Xiaoyu Li, Hong-Qi Zhang, Feng Ling, Chuan He, Jian Ren
    World Neurosurgery.2019; 122: e315.     CrossRef
  • A spinal cord tumor removal case with somatosensory evoked potential change more severe than motor evoked potential change
    Jong Hyeon Ahn, Jeong Jin Park, Dan A Oh, Byung-Nam Yoon
    Journal of Intraoperative Neurophysiology.2019; 1(2): 44.     CrossRef
  • Giant Sacral Schwannoma Treated with a 360 Approach: A Rare Case and Systematic Review of the Literature
    Ursalan Ahmed Khan, Ghiath Ismayl, Irfan Malik
    World Neurosurgery.2018; 115: 65.     CrossRef
  • 8,510 View
  • 116 Download
  • 14 Web of Science
  • 16 Crossref
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