切换至 "中华医学电子期刊资源库"

中华普通外科学文献(电子版) ›› 2023, Vol. 17 ›› Issue (02) : 151 -154. doi: 10.3877/cma.j.issn.1674-0793.2023.02.016

综述

急性阑尾炎相关诊断预测模型的研究进展
占一姗1,(), 朱友荣1, 张守华2, 陶强2   
  1. 1. 330038 南昌,江西省儿童医院PICU
    2. 330038 南昌,江西省儿童医院普外科
  • 收稿日期:2022-10-10 出版日期:2023-04-01
  • 通信作者: 占一姗

Progress of prediction models related to acute appendicitis

Yishan Zhan1,(), Yourong Zhu1, Shouhua Zhang2, Qiang Tao2   

  1. 1. Department of Pediatric Intensive Care Unit, Jiangxi Provincial Children's Hospital, Nanchang 330038, China
    2. Department of General Surgery, Jiangxi Provincial Children's Hospital, Nanchang 330038, China
  • Received:2022-10-10 Published:2023-04-01
  • Corresponding author: Yishan Zhan
引用本文:

占一姗, 朱友荣, 张守华, 陶强. 急性阑尾炎相关诊断预测模型的研究进展[J]. 中华普通外科学文献(电子版), 2023, 17(02): 151-154.

Yishan Zhan, Yourong Zhu, Shouhua Zhang, Qiang Tao. Progress of prediction models related to acute appendicitis[J]. Chinese Archives of General Surgery(Electronic Edition), 2023, 17(02): 151-154.

急性阑尾炎(AA)是成人及儿童最常见的腹部疾病之一,其误诊率及阴性切除率较高,早期识别、诊断并给予积极的治疗有助于临床工作。目前在AA相关预测模型方面的研究层出不穷,但尚无有效且精确的诊断模型,尤其是对于儿童AA的诊断。本综述结合近年来发表的文献,对AA诊断预测模型的开发和验证进行总结,为AA的快速诊断和预测标志物的探索提供依据。

Acute appendicitis (AA) is one of the most common abdominal diseases in adults and children, which has a high rate of misdiagnosis and negative resection. Early identification, diagnosis and active treatment of AA is helpful to clinical work. At present, researches on AA-related prediction models emerge in endlessly, but lack of effective and accurate diagnostic model, especially for the diagnosis in children. This review summarizes the development and validation of diagnostic prediction models for AA in combination with the literature published in recent years, so as to provide reference for the rapid diagnosis of AA and the exploration of predictive markers.

[13]
Tuncer AA, Cavus S, Balcioglu A, et al. Can mean platelet volume, neutrophil-to-lymphocyte, lymphocyte-to-monocyte, platelet-to-lymphocyte ratios be favourable predictors for the differential diagnosis of appendicitis?[J]. J Pak Med Assoc, 2019, 69(5): 647-654.
[14]
Kobayashi T, Hidaka E, Koganezawa I, et al. Prediction model for failure of nonoperative management of uncomplicated appendicitis in adults[J]. World J Surg, 2021, 45(10): 3041-3047.
[15]
Marin D, Ho LM, Barnhart H, et al. Percutaneous abscess drainage in patients with perforated acute appendicitis: effectiveness, safety, and prediction of outcome[J]. AJR Am J Roentgenol, 2010, 194(2): 422-429.
[16]
Xu T, Zhang Q, Zhao H, et al. A risk score system for predicting complicated appendicitis and aid decision-making for antibiotic therapy in acute appendicitis[J]. Ann Palliat Med, 2021, 10(6): 6133-6144.
[17]
李世宽, 成良栋, 李元博, 等. 成人急性复杂性阑尾炎发病高危因素分析[J]. 中华胃肠外科杂志, 2018, 21(12): 1374-1379.
[18]
Ma HC, Zhang JH, Liu YH, et al. Analysis of correlation factors and risk prediction for acute appendicitis associated with appendiceal neoplasms[J]. Zhonghua Wai Ke Za Zhi, 2021, 59(5): 343-347.
[19]
Samuel M. Pediatric appendicitis score[J]. J Pediatr Surg, 2002, 37(6): 877-881.
[20]
Kharbanda AB, Vazquez-Benitez G, Ballard DW, et al. Development and validation of a novel pediatric appendicitis risk calculator (pARC)[J]. Pediatrics, 2018, 141(4): e20172699.
[21]
Shera AH, Nizami FA, Malik AA, et al. Clinical scoring system for diagnosis of acute appendicitis in children[J]. Indian J Pediatr, 2011, 78(3): 287-290.
[22]
陈瑜峰. 小儿急性阑尾炎评分系统的建立和临床应用[D]. 天津: 天津医科大学, 2017.
[23]
Feng W, Zhao XF, Li MM, et al. A clinical prediction model for complicated appendicitis in children younger than five years of age[J]. BMC Pediatr, 2020, 20(1): 401.
[24]
Yang J, Liu C, He Y, et al. Laboratory markers in the prediction of acute perforated appendicitis in children[J]. Emerg Med Int, 2019, 2019: 4608053.
[25]
Chen Y, Wang Z, Xiao D, et al. Predicting the severity of acute appendicitis of young children (<3 years old): development and assessment of a new prediction nomogram[J]. Front Pediatr, 2021, 9: 763125.
[26]
Sakai S, Kobayashi K, Nakamura J, et al. Accuracy in the diagnostic prediction of acute appendicitis based on the Bayesian network model[J]. Methods Inf Med, 2007, 46(6): 723-726.
[27]
Su D, Li Q, Zhang T, et al. Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department[J]. BMC Med Res Methodol, 2022, 22(1): 18.
[28]
Zachos K, Fouzas S, Kolonitsiou F, et al. Prediction of complicated appendicitis risk in children[J]. Eur Rev Med Pharmacol Sci, 2021, 25(23): 7346-7353.
[29]
Jalil A, Shah SA, Saaiq M, et al. Alvarado scoring system in prediction of acute appendicitis[J]. J Coll Physicians Surg Pak, 2011, 21(12): 753-755.
[1]
Krzyzak M, Mulrooney SM. Acute appendicitis review: background, epidemiology, diagnosis, and treatment[J]. Cureus, 2020, 12(6): e8562.
[2]
Partrick DA, Janik JE, Janik JS, et al. Increased CT scan utilization does not improve the diagnostic accuracy of appendicitis in children[J]. J Pediatr Surg, 2003, 38(5): 659-662.
[3]
Graham DF. Computer-aided prediction of gangrenous and perforating appendicitis[J]. Br Med J, 1977, 2(6099): 1375-1377.
[4]
Alvarado A. A practical score for the early diagnosis of acute appendicitis[J]. Ann Emerg Med, 1986, 15(5): 557-564.
[5]
Kalan M, Talbot D, Cunliffe WJ, et al. Evaluation of the modified Alvarado score in the diagnosis of acute appendicitis: A prospective study[J]. Ann R Coll Surg Engl, 1994, 76(6): 418-419.
[6]
Andersson M, Andersson RE. The appendicitis inflammatory response score: A tool for the diagnosis of acute appendicitis that outperforms the Alvarado score[J]. World J Surg, 2008, 32(8): 1843-1849.
[7]
Avanesov M, Wiese NJ, Karul M, et al. Diagnostic prediction of complicated appendicitis by combined clinical and radiological appendicitis severity index (APSI)[J]. Eur Radiol, 2018, 28(9): 3601-3610.
[8]
Mikaere H, Zeng I, Lauti M, et al. Derivation and validation of the APPEND score: An acute appendicitis clinical prediction rule[J]. ANZ J Surg, 2018, 88(4): E303-E307.
[9]
Eddama M, Fragkos KC, Renshaw S, et al. Logistic regression model to predict acute uncomplicated and complicated appendicitis[J]. Ann R Coll Surg Engl, 2019, 101(2): 107-118.
[10]
Prachanukool T, Yuksen C, Tienpratarn W, et al. Clinical prediction score for ruptured appendicitis in ED[J]. Emerg Med Int, 2021, 2021: 6947952.
[11]
Morishita K, Gushimiyagi M, Hashiguchi M, et al. Clinical prediction rule to distinguish pelvic inflammatory disease from acute appendicitis in women of childbearing age[J]. Am J Emerg Med, 2007, 25(2): 152-157.
[12]
Sönmez A, Avcı A, Sönmez G, et al. The efficacy of hemogram parameters in the differential diagnosis of renal colic and acute appendicitis in the emergency department[J]. Ulus Travma Acil Cerrahi Derg, 2021, 27(1): 26-33.
[30]
Kularatna M, Lauti M, Haran C, et al. Clinical prediction rules for appendicitis in adults: which is best?[J]. World J Surg, 2017, 41(7): 1769-1781.
[31]
Bhangu A, RIFT Study Group on behalf of the West Midlands Research Collaborative. Evaluation of appendicitis risk prediction models in adults with suspected appendicitis[J]. Br J Surg, 2020, 107(1): 73-86.
[32]
Kularatna M, Chung L, Devathasan J, et al. Prospective validation of the APPEND clinical prediction rule for appendicitis: A cohort study[J]. J Surg Res, 2020, 248: 144-152.
[33]
Birben B, Sönmez BM, Er S, et al. External validation of the AppendistatTM Score and comparison with CRP levels for the prediction of complicated appendicitis[J]. Ulus Travma Acil Cerrahi Derg, 2021, 27(2): 187-191.
[34]
Ashcroft J, Singh AA, Rooney S, et al. A single centre evaluation of risk prediction models and imaging modalities in acute appendicitis[J]. Ann R Coll Surg Engl, 2021, 103(3): 203-207.
[35]
Rassi R, Muse F, Sánchez-Martínez J, et al. Diagnostic value of clinical prediction scores for acute appendicitis in children younger than 4 years[J]. Eur J Pediatr Surg, 2022, 32(2): 198-205.
[36]
Kulik DM, Uleryk EM, Maguire JL. Does this child have appendicitis? A systematic review of clinical prediction rules for children with acute abdominal pain[J]. J Clin Epidemiol, 2013, 66(1): 95-104.
[37]
van Amstel P, Gorter RR, van der Lee JH, et al. Ruling out appendicitis in children: can we use clinical prediction rules?[J]. J Gastrointest Surg, 2019, 23(10): 2027-2048.
[38]
RIFT Study Group on behalf of the West Midlands Research Collaborative. Appendicitis risk prediction models in children presenting with right iliac fossa pain (RIFT study): A prospective, multicentre validation study[J]. Lancet Child Adolesc Health, 2020, 4(4): 271-280.
[39]
Gudjonsdottir J, Marklund E, Hagander L, et al. Clinical prediction scores for pediatric appendicitis[J]. Eur J Pediatr Surg, 2021, 31(3): 252-260.
[1] 蒋佳纯, 王晓冰, 陈培荣, 许世豪. 血清学指标联合常规超声及超声造影评分诊断原发性干燥综合征的临床价值[J]. 中华医学超声杂志(电子版), 2023, 20(06): 622-630.
[2] 林文, 王雨萱, 许嘉悦, 王矜群, 王睿娜, 何董源, 樊沛. 人工关节置换登记系统的研究进展[J]. 中华关节外科杂志(电子版), 2023, 17(06): 834-841.
[3] 李越洲, 张孔玺, 李小红, 商中华. 基于生物信息学分析胃癌中PUM的预后意义[J]. 中华普通外科学文献(电子版), 2023, 17(06): 426-432.
[4] 张俊, 罗再, 段茗玉, 裘正军, 黄陈. 胃癌预后预测模型的研究进展[J]. 中华普通外科学文献(电子版), 2023, 17(06): 456-461.
[5] 唐旭, 韩冰, 刘威, 陈茹星. 结直肠癌根治术后隐匿性肝转移危险因素分析及预测模型构建[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 16-20.
[6] 甄子铂, 刘金虎. 基于列线图模型探究静脉全身麻醉腹腔镜胆囊切除术患者术后肠道功能紊乱的影响因素[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 61-65.
[7] 李晓阳, 刘柏隆, 周祥福. 大数据及人工智能对女性盆底功能障碍性疾病的诊断及风险预测[J]. 中华腔镜泌尿外科杂志(电子版), 2023, 17(06): 549-552.
[8] 邢晓伟, 刘雨辰, 赵冰, 王明刚. 基于术前腹部CT的卷积神经网络对腹壁切口疝术后复发预测价值[J]. 中华疝和腹壁外科杂志(电子版), 2023, 17(06): 677-681.
[9] 林文斌, 郑泽源, 郑文能, 郁毅刚. 外伤性脾破裂腹腔镜脾切除术患者中转开腹风险预测模型构建[J]. 中华肝脏外科手术学电子杂志, 2023, 12(06): 619-623.
[10] 顾睿祈, 方洪生, 蔡国响. 循环肿瘤DNA检测在结直肠癌诊治中的应用与进展[J]. 中华结直肠疾病电子杂志, 2023, 12(06): 453-459.
[11] 单秋洁, 孙立柱, 徐宜全, 王之霞, 徐妍, 马浩, 刘田田. 中老年食管癌患者调强放射治疗期间放射性肺损伤风险模型构建及应用[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 388-393.
[12] 秦维, 王丹, 孙玉, 霍玉玲, 祝素平, 郑艳丽, 薛瑞. 血清层粘连蛋白、Ⅳ型胶原蛋白对代偿期肝硬化食管胃静脉曲张出血的预测价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 447-451.
[13] 张郁妍, 胡滨, 张伟红, 徐楣, 朱慧, 羊馨玥, 刘海玲. 妊娠中期心血管超声参数与肝功能的相关性及对不良妊娠结局的预测价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 499-504.
[14] 郭震天, 张宗明, 赵月, 刘立民, 张翀, 刘卓, 齐晖, 田坤. 机器学习算法预测老年急性胆囊炎术后住院时间探索[J]. 中华临床医师杂志(电子版), 2023, 17(9): 955-961.
[15] 王亚丹, 吴静, 黄博洋, 王苗苗, 郭春梅, 宿慧, 王沧海, 王静, 丁鹏鹏, 刘红. 白光内镜下结直肠肿瘤性质预测模型的构建与验证[J]. 中华临床医师杂志(电子版), 2023, 17(06): 655-661.
阅读次数
全文


摘要