ArticleJournal of orthopaedic surgery and research2021
Nomogram to predict collapse-free survival after core decompression of nontraumatic osteonecrosis of the femoral head.
Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Effect of Systemic Steroid Use on the Success of Core Decompression in Non-Traumatic Early-Stage Femoral Head Osteonecrosis.Sisli Etfal Hastanesi tip bulteni · 2026Article
- Histopathologic confirmation of subchondral fracture in symptomatic pre-collapse osteonecrosis of the femoral head with bone marrow edema on magnetic resonance imaging.Skeletal radiology · 2025Article
- A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling.BMC medical informatics and decision making · 2025Article
- Outcomes of single-incision-augmented core decompression using trochanteric autograft in osteonecrosis of femoral head-a mean 5-year follow-up study.Journal of hip preservation surgery · 2024Article
- Factors influencing the survival status of the hip joint in post-collapse femoral head necrosis.Journal of orthopaedic surgery and research · 2024Article
- Development of a risk-predicting score for hip preservation with bone grafting therapy for osteonecrosis.iScience · 2024Article
- The indications for core decompression surgery in patients with ARCO stage I-II osteonecrosis of the femoral head: a new, comprehensive prediction system.BMC musculoskeletal disorders · 2023Article
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6 authors.
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Abstract
backgroundNontraumatic osteonecrosis of the femoral head (NONFH) is a devastating disease, and the risk factors associated with progression into collapse after core decompression (CD) remain poorly defined. Therefore, we aim to define risk factors associated with collapse-free survival (CFS) after CD of precollapse NONFH and to propose a nomogram for individual risk prediction.
methodsAccording to the baseline characteristics, clinical information, radiographic evaluations, and laboratory examination, a nomogram was developed using a single institutional cohort of patients who received multiple drilling for precollapse NONFH between January 2007 and December 2019 to predict CFS after CD of precollapse NONFH. Furthermore, we used C statistics, calibration plot, and Kaplan-Meier curve to test the discriminative ability and calibration of the nomogram to predict CFS.
resultsOne hundred and seventy-three patients who underwent CD for precollapse NONFH were retrospectively screened and included in the present study. Using a multiple Cox regression to identify relevant risk factors, the following risk factors were incorporated in the prediction of CFS: acute onset of symptom (HR, 2.78; 95% CI, 1.03-7.48; P = 0.043), necrotic location of Japanese Investigation Committee (JIC) C1 and C2 (HR, 3.67; 95% CI, 1.20-11.27; P = 0.023), necrotic angle in the range of 250-299°(HR, 5.08; 95% CI, 1.73-14.93; P = 0.003) and > 299° (HR, 9.96; 95% CI, 3.23-30.70; P < 0.001), and bone marrow edema (BME) before CD (HR, 2.03; 95% CI, 1.02-4.02; P = 0.042). The C statistics was 0.82 for CFS which revealed good discriminative ability and calibration of the nomogram.
conclusionsIndependent predictors of progression into collapse after CD for precollapse NONFH were identified to develop a nomogram predicting CFS. In addition, the nomogram could divide precollapse NONFH patients into prognosis groups and performed well in internal validation.
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