护理学报 ›› 2024, Vol. 31 ›› Issue (24): 51-56.doi: 10.16460/j.issn1008-9969.2024.24.051
王月1a, 刘国庆2, 牛聪影1b, 张振伟1c, 孙建1d, 褚友艾1a, 秦寒枝1c
WANG Yue1a, LIU Guo-qing2, NIU Cong-ying1b, ZHANG Zhen-wei1c, SUN Jian1d, CHU You-ai1a, QIN Han-zhi1c
摘要: 目的 对髋部骨折患者术后30 d死亡风险预测模型进行范围综述,为临床护理实践及研究提供借鉴。方法 聚焦髋部骨折患者术后30 d死亡风险预测模型,系统检索PubMed、Embase、Web of Science、中国知网、万方数据库、中国生物医学文献数据库及维普中文期刊服务平台等,筛选相关中英文文献,提取数据。结果 共纳入21篇文献,髋部骨折患者术后30 d死亡率高达4.73%~33.76%,模型的总体预测效能良好,但整体偏倚风险较高。结论 髋部骨折患者术后30 d死亡风险预测模型研究处于发展阶段,未来以期开发和/或验证低偏倚风险和高适应性的预测模型,指导临床实践。
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[1] Kates SL, Blake D, Bingham KW, et al.Comparison of an organized geriatric fracture program to United States government data[J]. Geriatr Orthop Surg Rehabil, 2010,1(1): 15-21.DOI: 10.1177/2151458510382231. [2] Xu Z, Pan J, Qian Y.Home-based physical therapy for older adults after hip fracture[J]. JAMA, 2020,323(4): 378.DOI: 10.1001/jama.2019.19269. [3] Dhanwal DK, Dennison EM, Harvey NC, et al.Epidemiology of hip fracture: worldwide geographic variation[J]. Indian J Orthop, 2011,45(1): 15-22.DOI: 10.4103/0019-5413.73656. [4] Gullberg B, Johnell O, Kanis JA.World-wide projections for hip fracture[J]. Osteoporos Int, 1997, 7(5):407-413.DOI: 10.1007/pl00004148. [5] Chesser T, Inman D, Johansen A, et al.Hip fracture systems-European experience[J]. OTA Int, 2020, 3(1): e050.DOI: 10.1097/OI9.0000000000000050. [6] Haentjens P, Magaziner J, Colon-Emeric CS, et al.Meta-analysis: excess mortality after hip fracture among older women and men[J]. Ann Intern Med, 2010,152(6): 380-390.DOI: 10.7326/0003-4819-152-6-201003160-00008. [7] Guzon-Illescas O, Perez FE, Crespi VN, et al.Mortality after osteoporotic hip fracture: incidence, trends, and associated factors[J]. J Orthop Surg Res,2019,14(1):203.DOI: 10.1186/s13018-019-1226-6. [8] Haugan K, Klaksvik J, Foss O A.30-day mortality in patients after hip fracture surgery: a comparison of the Charlson Comorbidity Index score and ASA score used in two prediction models[J]. Injury,2021,52(8): 2379-2383.DOI: https://doi.org/10.1016/j.injury.2021.02.004. [9] 王薇, 周演铃, 薛文萍, 等. 老年髋部骨折患者衰弱评估工具的范围综述[J]. 护理学报, 2024,31(4): 42-47.DOI: 10.16460/j.issn1008-9969.2024.04.042. [10] Sheehan KJ, Sobolev B, Chudyk A, et al.Patient and system factors of mortality after hip fracture: a scoping review[J]. BMC Musculoskelet Disord, 2016(17): 166.DOI: 10.1186/s12891-016-1018-7. [11] Lex JR, Di Michele J, Koucheki R, et al.Artificial intelligence for hip fracture detection and outcome prediction: a systematic review and Meta-analysis[J].JAMA Netw Open, 2023, 6(3): e233391.DOI: 10.1001/jamanetworkopen.2023.3391. [12] 陈香萍, 张奕, 庄一渝, 等. PROBAST:诊断或预后多因素预测模型研究偏倚风险的评估工具[J]. 中国循证医学杂志,2020,20(6):737-744.DOI:10.7507/1672-2531.201910087. [13] 靳永俊, 肖鹏, 朱旭, 等. 髋部骨折手术预后的预测:Nottingham髋部骨折评分的独立验证和重新校准[J]. 中华创伤骨科杂志,2023,25(9): 777-784. DOI:10.3760/cma.j.cn115530-20230718-00003. [14] Blanco JF, Da CC, Pablos-Hernandez C, et al.30-day mortality after hip fracture surgery: influence of postoperative factors[J]. PLoS One,2021,16(2):e0246963.DOI: 10.1371/journal.pone.0246963. [15] Harris A, Trickey AW, Eddington HS, et al.A tool to estimate risk of 30-day mortality and complications after hip fracture surgery: accurate enough for some but not all purposes? A study from the ACS-NSQIP database[J]. Clin Orthop Relat Res, 2022, 480(12):2335-2346.DOI:10.1097/CORR.0000000000002294. [16] Debaun MR, Chavez G, Fithian A, et al.Artificial neural networks predict 30-day mortality after hip fracture: insights from machine learning[J].J Am Acad Orthop Surg, 2021, 29(22): 977.DOI: 10.5435/JAAOS-D-20-00429. [17] Forssten MP, Cao Y, Trivedi DJ, et al.Developing and validating a scoring system for measuring frailty in patients with hip fracture: a novel model for predicting short-term postoperative mortality[J]. Trauma Surg Acute Care Open, 2022, 7(1): e000962.DOI: 10.1136/tsaco-2022-000962. [18] Maxwell MJ, Moran CG, Moppett IK.Development and validation of a preoperative scoring system to predict 30 day mortality in patients undergoing hip fracture surgery[J]. Br J Anaesth,2008,101(4):511-517.DOI:10.1093/bja/aen236. [19] Goubar A, Martin FC, Sackley C, et al.Development and validation of multivariable prediction models for in-hospital death, 30-day death, and change in residence after hip fracture surgery and the "Stratify-Hip" algorithm[J]. J Gerontol A Biol Sci Med Sci, 2023, 78(9): 1659-1668.DOI: 10.1093/gerona/glad053. [20] Van de Ree CL, Gosens T, Van der Veen AH, et al. Development and validation of the Brabant Hip Fracture Score for 30-day and 1-year mortality[J]. Hip Int, 2020, 30(3): 354-362.DOI: 10.1177/1120700019836962. [21] Trevisan C, Gallinari G, Carbone A, et al.Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score[J]. Osteoporos Int, 2021, 32(10): 2023-2031.DOI: 10.1007/s00198-021-05932-4. [22] Sanz-Reig J,Mas-Martinez J,Ojeda-Thies C,et al.Emergency department prediction model for 30-day mortality after hip fracture:the Spanish National Hip Fracture Registry (RNFC) cohort[J]. Hip Int, 2024, 34(2): 290-297.DOI: 10.1177/11207000231197818. [23] Wesdorp MA, Moerman S, Vochteloo A, et al.External validation of the Almelo Hip Fracture Score, a prediction model for early mortality following hip fracture surgery[J]. Eur J Trauma Emerg Surg, 2022, 48(3): 1871-1877.DOI: 10.1007/s00068-021-01619-x. [24] Yenidogan B, Pathak S, Geerdink J, et al.Multimodal machine learning for 30-days post-operative mortality prediction of elderly hip fracture patients[C]. IEEE, 2021. DOI: 10.1109/ICDMW53433.2021.00068. [25] Karres J, Kieviet N, Eerenberg JP, et al.Predicting early mortality after hip fracture surgery: the hip fracture estimator of mortality amsterdam[J]. J Orthop Trauma, 2018, 32(1):27-33.DOI: 10.1097/BOT.0000000000001025. [26] Marufu TC, White SM, Griffiths R, et al.Prediction of 30-day mortality after hip fracture surgery by the Nottingham Hip Fracture Score and the Surgical Outcome Risk Tool[J]. Anaesthesia, 2016,71(5):515-521.DOI:10.1111/anae.13418. [27] Nijmeijer WS, Folbert EC, Vermeer M, et al.Prediction of early mortality following hip fracture surgery in frail elderly: the Almelo Hip Fracture Score (AHFS)[J]. Injury, 2016, 47(10):2138-2143.DOI:10.1016/j.injury.2016.07.022. [28] Forni C, Gazineo D, D'Alessandro F, et al. Predictive factors for thirty day mortality in geriatric patients with hip fractures: a prospective study[J]. Int Orthop, 2019, 43(2): 275-281.DOI: 10.1007/s00264-018-4057-x. [29] Zaib J,Madni A,Saad AM.Predictive value of comprehensive geriatric assessment scores for mortality in patients with hip fracture: a retrospective cohort study[J]. Cureus, 2023, 15(9): e45070.DOI: 10.7759/cureus.45070. [30] Lu Y, Chen W, Guo Y, et al.Risk factors for short-term mortality in elderly hip fracture patients with complicated heart failure in the ICU: a MIMIC-IV database analysis using nomogram[J]. J Orthop Surg Res, 2023, 18(1): 829.DOI: 10.1186/s13018-023-04258-7. [31] Dawe EJ, Lindisfarne E, Singh T, et al.Sernbo score predicts survival after intracapsular hip fracture in the elderly[J]. Ann R Coll Surg Engl, 2013, 95(1): 29-33.DOI: 10.1308/003588413X13511609954653. [32] Nijmeijer WS, Voorthuis BJ, Groothuis-Oudshoorn C, et al.The prediction of early mortality following hip fracture surgery in patients aged 90 years and older: the Almelo Hip Fracture Score 90(AHFS(90))[J]. Osteoporos Int, 2023, 34(5): 867-877.DOI: 10.1007/s00198-023-06696-9. [33] Khan MA, Hossain FS, Ahmed I, et al.Predictors of early mortality after hip fracture surgery[J]. Int Orthop, 2013, 37(11): 2119-2124.DOI: 10.1007/s00264-013-2068-1. [34] Loggers S, Willems HC, Van Balen R, et al.Evaluation of quality of life after nonoperative or operative management of proximal femoral fractures in frail institutionalized patients: the FRAIL-HIP study[J]. JAMA Surg, 2022, 157(5): 424-434.DOI: 10.1001/jamasurg.2022.0089. [35] 肖万莲, 李娜, 陈晓玲, 等. 集束化护理在高龄髋部骨折患者围手术期的应用[J]. 中华护理杂志, 2023, 58(22): 2734-2740. DOI:10.3761/j.issn.0254-1769.2023.22.007. [36] 梁小芹, 鲁雪梅, 刘均娥, 等. 共管照护模式在老年髋部骨折患者中的研究进展[J]. 中华护理杂志,2020,55(10): 1484-1489. DOI:10.3761/j.issn.0254-1769.2020.10.007. [37] Moppett IK, Parker M, Griffiths R, et al.Nottingham Hip Fracture Score: longitudinal and multi-assessment[J]. Br J Anaesth, 2012, 109(4): 546-550.DOI: 10.1093/bja/aes187. [38] Nijmeijer WS, Folbert EC, Vermeer M, et al.Prediction of early mortality following hip fracture surgery in frail elderly: the Almelo Hip Fracture Score (AHFS)[J]. Injury, 2016,47(10):2138-2143.DOI:10.1016/j.injury.2016.07.022. |
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