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Construction of a prediction model for postoperative new-onset frailty in aged patients with hip fracture |
LIU Qinghua1, SUN Mingyue1, ZHANG Chen1, NI Juanjuan1, MAO Xiaoqing1, ZHAO Dan1, GAO Minglong1,2, FENG Long3 |
1. Department of Anesthesia,Shanxi Medical University,Taiyuan 030000,China; 2. Department of Pain,3. Department of Anesthesiology,Hainan Hospital of Chinese PLA General Hospital,Sanya 572016,China |
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Abstract Objective To construct a prediction model for new-onset frailty in aged patients with hip fracture and provide a basis to protect aged patients from postoperative new-onset frailty.Methods The elderly patients with hip fracture who were admitted to the Seventh Medical Center of Chinese PLA General Hospital from August 1, 2020 to October 1, 2021 and underwent surgical treatment were included. FRAIL Screening Scale (FRAIL Scale) was used to evaluate those who suffer from frailty within three months after surgery, so that patients could be divided into frailty group and non-frailty group. Patients' basic information, preoperative nottingham hip fracture score (NHFS), surgical options, anesthetic methods, laboratory examination and other data were collected, Kendall correlation analysis was used to explore the correlation between preoperative NHFS and postoperative frailty, Logistic regression was used to analyze the interfering factors of postoperative frailty and construct the prediction model, and receiver operating characteristic curve (ROC curve) was used to evaluate the predictive efficiency of the model.Results A total of 192 patients were enrolled, including 49 patients in the frailty group and 143 patients in the non-frailty group. The NHFS of frailty group was significantly higher than that of non-frailty group (P<0.001) and NHFS was positively correlated with frailty (P<0.001). Logistic regression model analysis showd NHFS (OR=2.425, 95%CI 1.438-4.090, P=0.001), prognostic nutritional index (PNI) at admission [serum albumin (g/L) +5×lymphocyte count (109/L)] (OR=0.861, 95%CI 0.767-0.966, P=0.011), fracture type (OR=5.692, 95%CI 1.511-21.438, P=0.010), and the highest creatinine during hospitalization (OR=1.151, 95%CI 1.047-1.265, P=0.004) were independent risk factors for postoperative new-onset frailty. The area under curve (AUC) predicted by the above four independent risk factors was 0.797 (P<0.001).The predictive efficiency of the model was ideal and its fitting degree was excellent (P=0.915).Conclusions The prediction model based on NHFS, PNI, fracture type and the highest Cr value during hospitalization has a good predictive efficiency for postoperative new-onset frailty in aged patients with hip fracture, which can provide a basis for early intervention of postoperative new-onset frailty.
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Received: 08 October 2022
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[1] |
Alexiou K I, Roushias A, Varitimidis S E, et al. Quality of life and psychological consequences in elderly patients after a hip fracture: a review [J]. Clin Interv Aging, 2018, 13:143-150.
|
[2] |
Chang S M, Hou Z Y, Hu S J, et al. Intertrochanteric femur fracture treatment in Asia: what we know and what the world can learn [J]. Orthop Clin North Am, 2020, 51(2): 189-205.
|
[3] |
黄伟琼,蓝海瑜.老年髋部骨折患者术后衰弱发生现况及其影响因素分析 [J]. 中外医学研究,2021, 19(16): 32-35.
|
[4] |
Zhao H, Wei P, Feng Y. Association between frailty and clinical outcomes and quality of life in older adults following hip fracture surgery: a retrospective cohort study [J]. Anesth Analg, 2022, 134(5): 1035-1042.
|
[5] |
Hoogendijk E O, Afilalo J, Ensrud K E, et al. Frailty: implications for clinical practice and public health [J]. Lancet, 2019, 394(10206): 1365-1375.
|
[6] |
Puts M T E, Toubasi S, Andrew M K, et al. Interventions to prevent or reduce the level of frailty in community-dwelling older adults: a scoping review of the literature and international policies [J]. Age Ageing, 2017, 46(3): 383-392.
|
[7] |
Olsen F, Lundborg F, Kristiansson J, et al. Validation of the Nottingham hip fracture score (NHFS) for the prediction of 30-day mortality in a swedish cohort of hip fractures [J]. Acta Anaesthesiol Scand, 2021, 65(10): 1413-1420.
|
[8] |
Low S, Wee E, Dorevitch M. Impact of place of residence, frailty and other factors on rehabilitation outcomes post hip fracture [J]. Age Ageing, 2021, 50(2): 423-430.
|
[9] |
艾美花,林硕超,杨成彬.ICU获得性衰弱的危险因素分析及预测模型构建 [J]. 中国卫生标准管理,2022, 13(8): 38-41.
|
[10] |
夏俊伟,梅 伟,刘会长,等. Nottingham量化评分对于评估老年髋部骨折手术病人预后的意义 [J]. 临床外科杂志,2020, 28(12): 1178-1181.
|
[11] |
Li L, Bennett-Brown K, Morgan C, et al. Hip fractures [J]. Br J Hosp Med (Lond), 2020, 81(8): 1-10.
|
[12] |
Vetrano D L, Palmer K, Marengoni A, et al. Frailty and multimorbidity: a systematic review and meta-analysis [J]. J Gerontol A Biol Sci Med Sci, 2019, 74(5): 659-666.
|
[13] |
Vanleerberghe P, de Witte N, Claes C, et al. The association between frailty and quality of life when aging in place [J]. Arch Gerontol Geriatr, 2019, 85:103915.
|
[14] |
Gandossi C M, Zambon A, Oliveri g, et al. Frailty, post-operative delirium and functional status at discharge in patients with hip fracture [J]. Int J Geriatr Psychiatry, 2021, 36(10): 1524-1530.
|
[15] |
Kleiven S. Hip fracture risk functions for elderly men and women in sideways falls [J]. J Biomech, 2020, 105:109771.
|
[16] |
刘珍玲,曾 莉,钟志安,等.老年股骨颈骨折患者关节置换术后衰弱的危险因素分析 [J]. 中国医学创新,2022, 19(12): 81-84.
|
[17] |
潘 颖,李伏超.老年股骨颈骨折术后衰弱的相关因素分析 [J]. 实用老年医学,2020, 34(5): 447-450.
|
[18] |
杨志勇,王开明,黄 震,等.高龄患者髋部骨折手术前Nottingham评分与术后并发症关系的临床研究 [J]. 临床和实验医学杂志,2021, 20(20): 2181-2185.
|
[19] |
Chen L, Bai P, Kong X, et al. Prognostic nutritional index (PNI) in patients with breast cancer treated with neoadjuvant chemotherapy as a useful prognostic indicator [J]. Front Cell Dev Biol, 2021, 9:656741.
|
[20] |
Lv X, Zhang Z, Yuan W. Pretreatment prognostic nutritional index (PNI) as a prognostic factor in patients with biliary tract cancer: a meta-analysis [J]. Nutr Cancer, 2021, 73(10): 1872-1881.
|
[21] |
Mirili C, Yılmaz A, Demirkan S, et al. Clinical significance of prognostic nutritional index (PNI) in malignant melanoma [J]. Int J Clin Oncol, 2019, 24(10): 1301-1310.
|
[22] |
Xu S, Cao S, Geng J, et al. High prognostic nutritional index (PNI) as a positive prognostic indicator for non-small cell lung cancer patients with bone metastasis [J]. Clin Respir J, 2021, 15(2): 225-231.
|
[23] |
Bullock A F, Greenley S L, Mckenzie G A G, et al. Relationship between markers of malnutrition and clinical outcomes in older adults with cancer: systematic review, narrative synthesis and meta-analysis [J]. Eur J Clin Nutr, 2020, 74(11): 1519-1535.
|
[24] |
刘 斐.老年髋部骨折内固定与人工髋关节置换术的临床疗效比较 [J]. 基层医学论坛,2021, 25(26): 3739-3741.
|
[25] |
刘海龙,刘 广,王志刚,等.内固定术与人工髋关节置换术治疗老年髋部骨折患者的临床效果 [J]. 中国医药指南,2022, 20(17): 104-107.
|
[26] |
Kuzuya M. Era of geriatric medical challenges: multimorbidity among older patients [J]. Geriatr Gerontol Int, 2019, 19(8): 699-704.
|
[27] |
Schulte-Kemna L, Künzig M, Dallmeier D, et al. Frailty in renal diseases [J]. Z Gerontol Geriatr, 2021, 54(7): 708-716.
|
[28] |
Raman M, Middleton R J, Kalra P A, et al. Estimating renal function in old people: an in-depth review [J]. Int Urol Nephrol, 2017, 49(11): 1979-1988.
|
[29] |
Cesari M, CalvanI R, Marzetti E. Frailty in older persons [J]. Clin Geriatr Med, 2017, 33(3): 293-303.
|
[30] |
Dent E, Martin F C, Bergman H, et al. Management of frailty: opportunities, challenges, and future directions [J]. Lancet, 2019, 394(10206): 1376-1386.
|
|
|
|