ACS NSQIP and hip fracture in the elderly. A mini review

Main Article Content

Annalisa Piccolo S. Barreca S. Pangallo N. Pellicano M. Tescione S. Macheda

Abstract

Introduction: Hip fractures occur commonly in the geriatric population and represent an important source of morbidity and mortality in the elderly population. The increasing incidence of hip fracture in this type of patients is due both to increased life expectancy and to the high prevalence of osteoporosis in the elderly. Hip fracture not only affects the health status of the individual patient, but it is responsible for an increased commitment of resources by the healthcare system. A preoperative tool predicting a potential postoperative complication can help to stratify the risk of each individual patient, to set the best diagnostic and therapeutic procedure. The National Surgical Quality Improvement Program (NSQIP) of the American College of Surgeons (ACS) has promoted the development of a surgical risk calculation system widespread throughout the world. A surgical risk calculation system was officially created in 2013 and it is available on the web, including twenty different variables such as factors related to the individual patient and the planned surgical procedures. This electronic calculator allows to obtain the percentage of risk of mortality, need for readmission and morbidity, and to estimate the duration of hospitalization.


Methods: We performed a search on the main database such as PubMed and Cochrane Library, using specific terms: i.e. “Hip surgery”, “ACS NSQIP risk calculator”, "proximal femur fracture” and "hip fracture”. We reviewed all the articles relevant to our topic, performing a qualitative analysis of the data presented.


Results: We found 107 articles, only four were eligible for a full review. After a careful evaluation, only two studies fitted well with the purpose of our review. These two studies showed a good effectiveness of ACS NSQIP to predict postoperative mortality.


Conclusions: The ACS NSQIP risk calculator seems to be effective in predicting postoperative complications and in particular postoperative mortality after hip surgery, but we do not have enough data. In fact, we have only two studies regarding hip fractures in elderly patients (> 60 years). Further studies are necessary.

Keywords: ACS NSQIP risk score, hip surgery, geriatric population, proximal femur fracture

Article Details

How to Cite
PICCOLO, Annalisa et al. ACS NSQIP and hip fracture in the elderly. A mini review. Medical Research Archives, [S.l.], v. 12, n. 7, aug. 2024. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/5634>. Date accessed: 21 dec. 2024. doi: https://doi.org/10.18103/mra.v12i7.5634.
Section
Review Articles

References

1- Johnell O, Kanis JA. An estimate of the worldwide prevalence, mortality and disability associated with hip fracture. Osteoporos Int. 2004; 15(11):897–902

2- Finsen V. Improvements in general health among the elderly: a factor in the rising incidence of hip fractures? J Epidemiol Community Health. 1988;42(2):200–203

3- Rapp K, Büchele G, Dreinhöfer K et al (2019) Epidemiology of hip fractures. Z Für Gerontol Geriatr 52:10–16

4- 4. Liu Z, Zhang J, He K et al (2019) Optimized clinical practice for superaged patients with hip fracture: signifcance of damage control and enhanced recovery program. Burns Trauma 7:21

5- Parker MJ, Palmer CR (1993) A new mobility score for predicting mortality after hip fracture. J Bone Joint Surg Br 75:797–798

6- Veronese N, Maggi S. Epidemiology and social costs of hip fracture. Injury. 2018 Aug;49(8):1458-1460. doi: 10.1016/j.injury.2018.04.015. Epub 2018 Apr 20. PMID: 29699731.

7- Kawaji H, Uematsu T, Oba R, Takai S. Conservative treatment for fracture of the proximal femur with complications. J Nippon Med Sch. 2016;83(1):2-5.

8- Kim SJ, Park HS, Lee DW. Outcome of nonoperative treatment for hip fractures in elderly patients: a systematic review of recent literature. J Orthop Surg. 2020;28(2): 2309499020936848.

9- Rosso F, Dettoni F, Bonasia DE, et al. Prognostic factors for mortality after hip fracture: operation within 48 hours is mandatory. Injury. 2016;47(Suppl 4):S91-S97.

10- Raksakietisak M, Lurngnateetape A, Riansuwan K, et al. Patients with osteoporotic hip fractures: factors affecting length of hospital stay (LOS) and outcome. J Med Assoc Thai. 2012;95(7):917-924.

11- Orosz GM, Magaziner J, Hannan EL, et al. Association of timing of surgery for hip fracture and patient outcomes. JAMA. 2004;291(14):1738-1743.

12- Shiga T, Wajima Z, Ohe Y. Is operative delay associated with increased mortality of hip fracture patients? Systematic review, meta-analysis, and meta-regression. Can J Anaesth. 2008;55(3):146-154.

13- Simunovic N, Devereaux PJ, Sprague S, et al. Effect of early surgery after hip fracture on mortality and complications: systematic review and meta-analysis. CMAJ (Can Med Assoc J). 2010;182(15):1609-1616.

14- Tay E. Hip fractures in the elderly: operative versus nonoperative management. Singapore Med J. 2016;57(4):178-181

15- Smith T, Pelpola K, Ball M et al (2014) Pre-operative indicators for mortality following hip fracture surgery: a systematic review and meta-analysis. Age Ageing 43:464–471

16- Chang W, Lv H, Feng C et al (2018) Preventable risk factors of mortality after hip fracture surgery: systematic review and metaanalysis. Int J Surg 52:320–328

17- Hu F, Jiang C, Shen J et al (2012) Preoperative predictors for mortality following hip fracture surgery: a systematic review and meta-analysis. Injury 43:676–685

18- Stacey D, Légaré F, Lewis K et al (2017) Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. https://doi.org/10.1002/14651858.CD001431. pub5

19- Joosten EA, Defuentes-Merillas L, De Weert GH et al (2008) Systematic review of the efects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom 77:219–226

20- Haidich AB. Meta-analysis in medical research. Hippokratia. 2010 Dec;14(Suppl 1):29-37. PMID: 21487488; PMCID: PMC3049418.

21- Rostagno C, Cartei A, Rubbieri G, et al. Perioperative myocardial infarction/myocardial injury is associated with high hospital mortality in elderly patients undergoing hip fracture surgery. J Clin Med. 2020;9(12):E4043.

22- Kim YH, Kulkarni SS, Park JW, Kim BS. Prevalence of deep vein thrombosis and pulmonary embolism treated with mechanical compression device after total hip arthroplasty. J Arthroplasty. 2015;30(4):675-680.

23- Wang X, Dai L, Zhang Y, Lv Y. Gender and low albumin and oxygen levels are risk factors for perioperative pneumonia in geriatric hip fracture patients. Clin Interv Aging. 2020;15: 419-424.

24- Muangpaisan W, Wongprikron A, Srinonprasert V, Suwanpatoomlerd S, Sutipornpalangkul W, Assantchai P. Incidence and risk factors of acute delirium in older patients with hip fracture in Siriraj Hospital. J Med Assoc Thai. 2015; 98(4):423-430.

25- Atthakomol P, Manosroi W, Phinyo P, Pipanmekaporn T, Vaseenon T, Rojanasthien S. Prognostic factors for all-cause mortality in Thai patients with fragility fracture of hip: comorbidities and laboratory evaluations. Medicina (Kaunas). 2020;56(6):E311.

26- Neuhaus V, King J, Hageman MG, Ring DC. Charlson comorbidity indices and in-hospital deaths in patients with hip fractures. Clin Orthop Relat Res. 2013;471(5): 1712-1719.

27- Griffiths R, Beech F, Brown A, et al. Peri-operative care of the elderly 2014: association of anaesthetists of great britain and Ireland. Anaesthesia. 2014;69(Suppl 1):81-98.

28- Van Waesberghe J, Stevanovic A, Rossaint R, Coburn M. General vs. neuraxial anaesthesia in hip fracture patients: a systematic review and meta-analysis. BMC Anesthesiol. 2017;17(1):87.

29- Chia PH, Gualano L, Seevanayagam S, Weinberg L. Outcomes following fractured neck of femur in an Australian metropolitan teaching hospital. Bone Joint Res. 2013 Aug 15;2(8):162-8. doi: 10.1302/2046-3758.28.2000177. PMID: 23950158; PMCID: PMC3746209.

30- Bilimoria, Karl Y. MD, MS, FACSa,b,*; Liu, Yaoming PhDa; Paruch, Jennifer L. MDa; Zhou, Lynn PhDa; Kmiecik, Thomas E. PhDb; Ko, Clifford Y. MD, MS, MSHS, FACSa,c; Cohen, Mark E. PhDa. Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator: A Decision Aid and Informed Consent Tool for Patients and Surgeons. Journal of the American College of Surgeons 217(5): p 833-842e3, November 2013. | DOI: 10.1016/j.jamcollsurg.2013.07.385

31- Liu JY, Sharma J. Application of the ACS NSQIP Surgical Risk Calculator on a global scale. Am J Surg. 2021 Nov;222(5):876. doi: 10.1016/j.amjsurg.2021.09.017. Epub 2021 Sep 24. PMID: 34565517.

32- Weintraub S, Ross-Richardson C, Poster M, Bantus C, Babic B, Singh R. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) supports the use of an early warning system in identifying postoperative patients at risk for 30-day outcomes. J Am Coll Surg. 2014;219(4):e151

33- Wang X, Zhao BJ, Su Y. Can we predict postoperative complications in elderly Chinese patients with hip fractures using the surgical risk calculator? Clin Interv Aging. 2017 Sep 22; 12:1515-1520. doi: 10.2147/CIA.S142748. PMID: 29026289; PMCID: PMC5626238.

34- Nia A, Popp D, Thalmann G, Greiner F, Jeremic N, Rus R, Hajdu S, Widhalm HK. Predicting 30-Day and 180-Day Mortality in Elderly Proximal Hip Fracture Patients: Evaluation of 4 Risk Prediction Scores at a Level I Trauma Center. Diagnostics (Basel). 2021 Mar 11;11(3):497. doi: 10.3390/diagnostics11030497. PMID: 33799724; PMCID: PMC8002141.

35- Harris AHS, Trickey AW, Eddington HS, Seib CD, Kamal RN, Kuo AC, Ding Q, Giori NJ. 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. Clin Orthop Relat Res. 2022 Dec 1;480(12):2335-2346. doi: 10.1097/CORR.0000000000002294. Epub 2022 Jun 27. PMID: 35901441; PMCID: PMC10538935.

36- Dodd AC, Bulka C, Jahangir A, Mir HR, Obremskey WT, Sethi MK. Predictors of 30-day mortality following hip/pelvis fractures. Orthop Traumatol Surg Res. 2016 Oct;102(6):707-10. doi: 10.1016/j.otsr.2016.05.016. Epub 2016 Aug 3. PMID: 27496661.

37- Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG, Powell SJ. POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity. Br J Surg. 1998 Sep;85(9):1217-20. doi: 10.1046/j.1365-2168.1998.00840.x. PMID: 9752863.

38- Copeland GP, Jones D, Walters M. POSSUM: a scoring system for surgical audit. Br J Surg. 1991;78(3):355–60. https://doi.org/10.1002/bjs. 1800780327/.

39- Whiteley MS, Prytherch DR, Higgins B, Weaver PC, Prout WG. An evaluation of the POSSUM surgical scoring system. Br J Surg. 1996;83(6):812– 5. https://doi.org/10.1002/bjs.1800830628.

40- Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG, Powell SJ. POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity. Br J Surg. 1998 Sep;85(9):1217-20. doi: 10.1046/j.1365-2168.1998.00840.x. PMID: 9752863.

41- Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8. PMID: 3558716.

42- Charlson ME, Carrozzino D, Guidi J, Patierno C. Charlson Comorbidity Index: A Critical Review of Clinimetric Properties. Psychother Psychosom. 2022;91(1):8-35. doi: 10.1159/000521288. Epub 2022 Jan 6. PMID: 34991091.

43- Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992 Jun;45(6):613-9. doi: 10.1016/0895-4356(92)90133-8. PMID: 1607900.

44- Romano PS, Roos LL, Jollis JG. Adapting a clinical comorhidity index for use with ICD-9-CM administrative data: Differing perspectives. J Clin Epidemiol 1993; 46: 1075-1079.