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03-09-2024

Development and preliminary validation of a diagnostic prediction model to optimise outpatient management of patients with urolithiasis using urinary stones and intervention quality of life (USIQoL) measure

Auteurs: Ruth C. Jarvis, Philip Pallmann, Collett Clements, Hrishikesh Joshi

Gepubliceerd in: Quality of Life Research | Uitgave 10/2024

Abstract

Purpose

Patients with urinary calculi undergo resource-intensive follow-up. Application of a PROM, Urinary Stones and Intervention Quality of Life (USIQoL), can potentially optimise current practices if it matches the outcomes of traditional follow-up. Our objective was to develop, and conduct, a preliminary validation of the USIQoL based prediction model to aid triage.

Methods

We performed a two phase prospective cohort study. The 1st phase included development of the USIQoL-based decision model using multicentre data. The 2nd phase involved prospective single-blind external validation for the outpatient application. The aim was to evaluate correlations between the USIQoL scores and key predictors; clinical outcomes and global health ratings (EuroQoL EQ-5D). We used statistical analysis to validate USIQoL cut-off scores to aid triage and the decision to intervene.

Results

Of 503 patients invited, 91% (n = 455, Development [305] and Validation [150]; M = 308, F = 147) participated. The relationship between USIQoL domain scores and clinical outcomes was consistently significant (estimated odds: PPH 1.24, p < 0.001, 95% CI 1.13–1.36; PSH 1.22, p < 0.001, 95% CI 1.12–1.33). The ROC values for the model were ≥ 0.75. The optimum domain cut-off scores were derived with rising scores implying increased need to intervene. The model demonstrated satisfactory sensitivity (0.81–0.89) and specificity (0.36–0.47).

Conclusions

The study demonstrates satisfactory correlation between the USIQoL and clinical outcomes making this model a valid aid for triage and optimising outpatient management with the cut-off scores able to identify high risk patients who need active treatment.

vorige artikel Stability and change in maternal wellbeing and illbeing from pregnancy to three years postpartum

volgende artikel Health-related quality of life and utility values among patients with anxiety and/or depression in a low-income tertiary care setting: a cross-sectional analysis

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Rukin, N. J., Siddiqui, Z. A., Chedgy, E. C. P., & Somani, B. K. (2017). Trends in upper tract stone disease in England: Evidence from the hospital episodes statistics database. Urologia Internationalis, 98(4), 391–396. https://doi.org/10.1159/000449510CrossRefPubMed

Lang, J., Narendrula, A., El-Zawahry, A., Sindhwani, P., & Ekwenna, O. (2022). Global trends in incidence and burden of urolithiasis from 1990 to 2019: An analysis of global burden of disease study data. European Urology Open Science, 3(35), 37–46. https://doi.org/10.1016/j.euros.2021.10.008CrossRef

Geraghty, R. M., Cook, P., Walker, V., & Somani, B. K. (2020). Evaluation of the economic burden of kidney stone disease in the UK: A retrospective cohort study with a mean follow-up of 19 years. BJU International, 125(4), 586–594. https://doi.org/10.1111/bju.14991CrossRefPubMed

National Institute for Health and Care Excellence. Renal and ureteric stones: Assessment and management (NG 118). Retrieved March 2, 2023, from https://www.nice.org.uk/guidance/NG118

European Association of Urology. Urolithiasis: follow-up of urinary stones. Retrieved May 30, 2024, from https://uroweb.org/guidelines/urolithiasis/chapter/followup-of-urinary-stones

Lohr, K. N., & Zebrack, B. J. (2009). Using patient-reported outcomes in clinical practice: Challenges and opportunities. Quality of Life Research, 18, 99–107. https://doi.org/10.1007/s11136-008-9413-7CrossRefPubMed

Kotronoulas, G., Kearney, N., Maguire, R., Harrow, A., Di Domenico, D., Croy, S., & MacGillivray, S. (2014). What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. Journal of Clinical Oncology, 32(14), 1480–1501. https://doi.org/10.1200/JCO.2013.53.5948CrossRefPubMed

Kingsley, C., & Patel, S. (2017). Patient-reported outcome measures and patient-reported experience measures. BJA Education, 17(4), 137–144. https://doi.org/10.1093/bjaed/mkw060CrossRef

Velikova, G., Booth, L., Smith, A. B., & BrownLynchBrownSelby, P. M. P. J. M. P. J. (2004). Measuring quality of life in routine oncology practice improves communication and patient well-being: A randomized controlled trial. Journal of Clinical Oncology, 22(4), 714–724. https://doi.org/10.1200/JCO.2004.06.078CrossRefPubMed

10.

Assimos, D., Krambeck, A., Miller, N. L., Monga, M., HassanMurad, M., Nelson, C. P., Pace, K. T., Pais, V. M., Pearle, M. S., Preminger, G. M., Razvi, H., Shah, O., & Matlaga, B. R. (2016). Surgical management of stones: American Urological Association/Endourological Society Guideline PART I. The Journal of urology, 196(4), 1153–1160. https://doi.org/10.1016/j.juro.2016.05.090CrossRefPubMed

11.

Joshi, H. B., Johnson, H., Pietropaolo, A., Raja, A., Joyce, A. D., Somani, B., Philip, J., Biyani, C. S., & Pickles, T. (2022). Urinary stones and intervention quality of life (USIQoL): Development and validation of a new core universal patient-reported outcome measure for urinary calculi. European Urology Focus, 8(1), 283–290. https://doi.org/10.1016/j.euf.2020.12.011CrossRefPubMed

12.

Crosby, R. D., Kolotkin, R. L., & Williams, G. R. (2003). Defining clinically meaningful change in health-related quality of life. Journal of Clinical Epidemiology., 56(5), 395–407. https://doi.org/10.1016/s0895-4356(03)00044-1CrossRefPubMed

13.

Ousmen, A., Touraine, C., Deliu, N., Cottone, F., Bonnetain, F., Efficace, F., Brédart, A., Mollevi, C., & Anota, A. (2018). Distribution-and anchor-based methods to determine the minimally important difference on patient-reported outcome questionnaires in oncology: A structured review. Health and Quality of Life Outcomes, 16(1), 228. https://doi.org/10.1186/s12955-018-1055-zCrossRefPubMedPubMedCentral

14.

EuroQol Group. (1990). EuroQol – a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208. https://doi.org/10.1016/0168-8510(90)90421-9CrossRef

15.

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. (2015). Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD Statement. BMC Medicine, 13, 1. https://doi.org/10.1186/s12916-014-0241-zCrossRefPubMedPubMedCentral

16.

Mcleod, L. D., Coon, C. D., Martin, S. A., Fehnel, S. E., & Hays, R. D. (2011). Interpreting patient-reported outcome results: US FDA guidance and emerging methods. Expert Review of Pharmacoeconomics & Outcomes Research, 11(2), 163–169. https://doi.org/10.1586/erp.11.12CrossRef

17.

Riley, R. D., Ensor, J., Snell, K. L. E., Harrell, F. E., Jr., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020). Calculating the sample size required for developing a clinical prediction model. BMJ, 18(368), m441. https://doi.org/10.1136/bmj.m441CrossRef

18.

Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). Wiley.CrossRef

19.

Ruopp, M. D., Perkins, N. J., Whitcomb, B. W., & Schisterman, E. F. (2008). Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection. Biometrical Journal, 50(3), 419–430. https://doi.org/10.1002/bimj.200710415CrossRefPubMed

20.

Wright, A., Hannon, J., Hegedus, E. J., & Kavchak, A. E. (2012). Clinimetrics corner: A closer look at the minimal clinically important difference (MCID). The Journal of Manual & Manipulative Therapy, 20(3), 160–166. https://doi.org/10.1179/2042618612Y.0000000001CrossRef

21.

Bitton, A., Onega, T., Tosteson, A. N. A., & Haas, J. S. (2014). Toward a better understanding of patient-reported outcomes in clinical practice. The American Journal of Managed Care, 20(4), 281–283.PubMedPubMedCentral

22.

Snyder, C., & Brundage, M. (2010). Integrating patient-reported outcomes in healthcare policy, research and practice. Expert Review of Pharmacoeconomics & Outcomes Research, 10(4), 351–353. https://doi.org/10.1586/erp.10.21CrossRef

23.

Lavallee, D. C., Chenok, K. E., Love, R. M., Petersen, C., Holve, E., Segal, C. D., & Franklin, P. D. (2016). Incorporating patient-reported outcomes into health care to engage patients and enhance care. Health Affairs (Millwood)., 35(4), 575–582. https://doi.org/10.1377/hlthaff.2015.1362CrossRef

24.

Greenhalgh, J. (2009). The applications of PROs in clinical practice: What are they, do they work, and why? Quality of Life Research, 18(1), 115–123. https://doi.org/10.1007/s11136-008-9430-6CrossRefPubMed

25.

National Health Service (NHS) England. Patient Reported Outcome Measures (PROMs). Retrieved March 2, 2023, from https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/patient-reported-outcome-measures-proms

26.

Lane, J. A., Donovan, J. L., Young, G. J., Davis, M., Walsh, E. I., Avery, K. N., Blazeby, J. M., Mason, M. D., Martin, R. M., Peters, T. J., & Turner, E. L. (2022). Functional and quality of life outcomes of localised prostate cancer treatments (Prostate Testing for Cancer and Treatment [ProtecT] study). BJU International, 130(3), 370–380. https://doi.org/10.1111/bju.15739CrossRefPubMedPubMedCentral

27.

Getting It Right First Time (GIRFT). Urology outpatient transformation: A practical guide to delivery. 2022. Retrieved March 2, 2023, from https://www.gettingitrightfirsttime.co.uk/wp-content/uploads/2022/01/Urology_2022-01-12_Guidance_Outpatient-transformation.pdf

28.

Cappelleri, J. C., & Bushmakin, A. G. (2014). Interpretation of patient-reported outcomes. Statistical Methods in Medical Research, 23(5), 460–483. https://doi.org/10.1177/0962280213476377CrossRefPubMed

29.

Rasmussen, A. A., Wiggers, H., Jensen, M., Berg, S. K., Rasmussen, T. B., Borregaard, B., Thrysoee, L., Thorup, C. B., Mols, R. E., Larsen, S. H., & Johnsen, S. P. (2021). Patient-reported outcomes and medication adherence in patients with heart failure. European Heart Journal–Cardiovascular Pharmacotherapy., 7(4), 287–295. https://doi.org/10.1093/ehjcvp/pvaa097CrossRefPubMed

30.

Mouelhi, Y., Jouve, E., Castelli, C., & Gentile, S. (2020). How is the minimal clinically important difference established in health-related quality of life instruments? Review of anchors and methods. Health and Quality of Life Outcomes, 18(1), 136. https://doi.org/10.1186/s12955-020-01344-wCrossRefPubMedPubMedCentral

Titel: Development and preliminary validation of a diagnostic prediction model to optimise outpatient management of patients with urolithiasis using urinary stones and intervention quality of life (USIQoL) measure
Auteurs: Ruth C. Jarvis
Philip Pallmann
Collett Clements
Hrishikesh Joshi
Publicatiedatum: 03-09-2024
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 10/2024
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-024-03733-w

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