Log in

The hospital frailty risk score as a predictor of readmission after ERCP

  • Published:
Surgical Endoscopy Aims and scope Submit manuscript

Abstract

Background and aims

The 30-day readmission rate is a nationally recognized quality measure with nearly one-fifth of patients being readmitted. This study aims to evaluate frailty, as measured by the hospital frailty risk score (HFRS), as a prognostic indicator for 30-day readmission after inpatient ERCP.

Methods

We analyzed weighted discharge records from the 2017 Nationwide Readmissions Database (NRD) to identify patients undergoing ERCP between 01/01/2017 and 11/30/2017. Our primary outcome was the 30-day unplanned readmission rate in frail (defined as HFRS > 5) against non-frail (HFRS < 5) patients. A mixed effects multivariable logistic regression method was employed.

Results

Among 68,206 weighted hospitalized patients undergoing ERCP, 31.3% were frail. Frailty was associated with higher 30-day readmission (OR 1.23, 95% CI [1.16–1.30]). Multivariable analysis showed a greater risk of readmission with cirrhosis (OR 1.26, 95% CI [1.10–1.45]), liver transplantation (OR 1.36, 95% CI [1.08–1.71]), cancer (OR 1.58, 95% CI [1.48–1.69]), and male gender (OR 1.24, 95% CI [1.18–1.31]). Frail patients also had higher mortality rate (1.8% vs 0.6%, p < 0.01)], longer LOS during readmission (6.7 vs 5.6 days, p < 0.01), and incurred more charges from both hospitalizations ($175,620 vs $132,519, p < 0.01). Sepsis was the most common primary indication for both frail and non-frail readmissions but accounted for a greater percentage of frail readmissions (17.9% vs 12.4%, p < 0.01).

Conclusions

Frailty is associated with higher readmission rates, mortality, LOS, and hospital charges for admitted patients undergoing ERCP. Sepsis is the leading cause for readmission. Independent risk factors for readmission include liver transplantation, cancer, cirrhosis, and male gender.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Canada)

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

ASGE:

American Society of Gastrointestinal Endoscopy

AHRQ:

Agency for Healthcare Research and Quality

CCI:

Charlson Comorbidity Index

CI:

Confidence interval

CMS:

Centers for Medicare & Medicaid Services

ERCP:

Endoscopic retrograde cholangiopancreatography

GI:

Gastroenterology

HFRS:

Hospital frailty risk score

HCUP:

Healthcare cost and utilization project

ICD-10:

International statistical classification of diseases and related health problems version 10

OR:

Odds ratio

References

  1. Meseeha M, Attia M (2022) Endoscopic retrograde cholangiopancreatography. In: StatPearls. StatPearls Publishing, St. Petersburg. http://www.ncbi.nlm.nih.gov/books/NBK493160/. Accessed 2 Dec 2022

  2. Andriulli A, Loperfido S, Napolitano G et al (2007) Incidence rates of post-ERCP complications: a systematic survey of prospective studies. Am J Gastroenterol 102(8):1781–1788. https://doi.org/10.1111/j.1572-0241.2007.01279.x

    Article  PubMed  Google Scholar 

  3. Jencks SF, Williams MV, Coleman EA (2009) Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 360(14):1418–1428. https://doi.org/10.1056/NEJMsa0803563

    Article  CAS  PubMed  Google Scholar 

  4. Krill TS, Crain R, Al-Saadi Y et al (2020) Predictors of 30-day readmission after inpatient endoscopic retrograde cholangiopancreatography: a single-center experience. Dig Dis Sci 65(5):1481–1488. https://doi.org/10.1007/s10620-019-05870-6

    Article  PubMed  Google Scholar 

  5. Radadiya D, Devani K, Ashhab A et al (2022) US nationwide insight into all-cause 30-day readmissions following inpatient endoscopic retrograde cholangiopancreatography. J Clin Gastroenterol. https://doi.org/10.1097/MCG.0000000000001709

    Article  PubMed  Google Scholar 

  6. Navaneethan U, Gutierrez NG, Jegadeesan R et al (2013) Delay in performing ERCP and adverse events increase the 30-day readmission risk in patients with acute cholangitis. Gastrointest Endosc 78(1):81–90. https://doi.org/10.1016/j.gie.2013.02.003

    Article  PubMed  Google Scholar 

  7. Shah R, Haydek C, Mulki R, Qayed E (2018) Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: a nationwide analysis. Pancreatol Off J Int Assoc Pancreatol 18(4):386–393. https://doi.org/10.1016/j.pan.2018.04.006

    Article  Google Scholar 

  8. Xue QL (2011) The frailty syndrome: definition and natural history. Clin Geriatr Med 27(1):1–15. https://doi.org/10.1016/j.cger.2010.08.009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Gilbert T, Neuburger J, Kraindler J et al (2018) Development and validation of a hospital frailty risk score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet Lond Engl 391(10132):1775–1782. https://doi.org/10.1016/S0140-6736(18)30668-8

    Article  Google Scholar 

  10. Martin L, Strom JB (2019) Utilization frailty and association with 30-day readmission and patient mortality under the hospital readmissions reduction program–part II. American College of Cardiology. https://www.acc.org/Latest-in-Cardiology/Articles/2019/12/10/06/54/Utilization-Frailty-and-Association-with-30-day-Readmission-and-Patient-Mortality-Under-the-Hospital-Readmissions-Reduction-Program-Part-II. Accessed 2 Dec 2022

  11. Qian AS, Nguyen NH, Elia J, Ohno-Machado L, Sandborn WJ, Singh S (2021) Frailty is independently associated with mortality and readmission in hospitalized patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol Off Clin Pract J Am Gastroenterol Assoc 19(10):2054-2063.e14. https://doi.org/10.1016/j.cgh.2020.08.010

    Article  Google Scholar 

  12. Voora RS, Qian AS, Kotha NV et al (2022) Frailty index as a predictor of readmission in patients with head and neck cancer. Otolaryngology 167(1):89–96. https://doi.org/10.1177/01945998211043489

    Article  Google Scholar 

  13. Zhou H, Della PR, Roberts P, Goh L, Dhaliwal SS (2016) Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review. BMJ Open 6(6):e011060. https://doi.org/10.1136/bmjopen-2016-011060

    Article  PubMed  PubMed Central  Google Scholar 

  14. Unal NG, Tekin F (2017) A new accurate model for predicting mortality up to 12 months after ERCP. Turk J Gastroenterol 28(3):235–237

    Article  PubMed  Google Scholar 

  15. Agency for Healthcare Research and Quality (2019) Introduction to the HCUP Nationwide Readmissions Database (NRD) 2010–2017. Healthcare Cost and Utilization Project (HCUP). https://www.hcup-us.ahrq.gov/db/nation/nrd/Introduction_NRD_2010-2017.pdf

  16. Glasheen WP, Cordier T, Gumpina R, Haugh G, Davis J, Renda A (2019) Charlson Comorbidity Index: ICD-9 update and ICD-10 translation. Am Health Drug Benefits 12(4):188–197

    PubMed  PubMed Central  Google Scholar 

  17. U.S. Centers for Medicare & Medicaid Services (2022) Hospital readmissions reduction program. cms.gov. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Value-Based-Programs/HRRP/Hospital-Readmission-Reduction-Program. Accessed 2 Dec 2022

  18. Hao Q, Zhou L, Dong B, Yang M, Dong B, Weil Y (2019) The role of frailty in predicting mortality and readmission in older adults in acute care wards: a prospective study. Sci Rep 9(1):1207. https://doi.org/10.1038/s41598-018-38072-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. ASGE Standards of Practice Committee, Khashab MA, Chithadi KV et al (2015) Antibiotic prophylaxis for GI endoscopy. Gastrointest Endosc 81(1):81–89. https://doi.org/10.1016/j.gie.2014.08.008

    Article  Google Scholar 

  20. Jehan F, Khan M, Kulvatunyou N et al (2019) Day of hospital admission and effect on outcomes: the weekend effect in acute gallstone pancreatitis. J Surg Res 233:192–198. https://doi.org/10.1016/j.jss.2018.07.070

    Article  PubMed  Google Scholar 

  21. Hakim S, Aneese AM, Edhi A et al (2020) A statistically significant reduction in length of stay and hospital costs with equivalent quality of care metrics for ERCPs performed during the weekend versus postponed to weekdays: a 6-year study of 533 ERCPs at four teaching hospitals. Dig Dis Sci 65(11):3132–3142. https://doi.org/10.1007/s10620-020-06066-z

    Article  PubMed  Google Scholar 

  22. Martin JA (2020) Non-emergent weekend ERCP: it makes sense-now, make it work. Dig Dis Sci 65(11):3057–3060. https://doi.org/10.1007/s10620-020-06312-4

    Article  PubMed  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mary Lee Krinsky.

Ethics declarations

Disclosures

Khanh Hoang Nicholas Le, Alexander S. Qian, Mimi Nguyen, Edmund Qiao, Phuong Nguyen, Siddharth Singh, and Mary Lee Krinsky have no conflicts of interest or financial ties to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Le, K.H.N., Qian, A.S., Nguyen, M. et al. The hospital frailty risk score as a predictor of readmission after ERCP. Surg Endosc 38, 260–269 (2024). https://doi.org/10.1007/s00464-023-10531-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00464-023-10531-x

Keywords

Navigation